Passed
gpkit.tests.from_paths.TestFiles.test_solar_npod_trade_py_mosek_conif (from gpkit.tests.from_paths.TestFiles-20210625163443)
Standard Output
N=1 Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.703 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632919.3776 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259329.5070 but bound is 1000000.0000 N=3 Warning: skipped auto-differentiation of linked variable Aircraft1.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.745 seconds and 4 GP solves. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036209.6021 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006641.3990 but bound is 1000000.0000 N=5 Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft2.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.781 seconds and 4 GP solves. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329202.9037 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208149.0070 but bound is 1000000.0000 N=7 Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft3.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.872 seconds and 4 GP solves. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976138.7332 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.9154 but bound is 1000000.0000 N=9 Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft4.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.934 seconds and 4 GP solves. Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007396.6632 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.5684 but bound is 1000000.0000 N=0 Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft5.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.785 seconds and 4 GP solves. Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000 N=1 Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 1.22 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632906.0392 but bound is 600000.0000 Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259323.7016 but bound is 1000000.0000 N=3 Warning: skipped auto-differentiation of linked variable Aircraft1.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 1.28 seconds and 4 GP solves. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1135 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1036203.6588 but bound is 600000.0000 Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006644.3051 but bound is 1000000.0000 N=5 Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft2.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft2.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 1.02 seconds and 4 GP solves. Warning: Variable Mission2.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0043 but bound is 0.9465 Warning: Variable Mission2.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1329205.7147 but bound is 600000.0000 Warning: Variable Mission2.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1208151.7064 but bound is 1000000.0000 N=7 Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft3.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft3.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 1.03 seconds and 4 GP solves. Warning: Variable Mission3.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465 Warning: Variable Mission3.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976141.5853 but bound is 600000.0000 Warning: Variable Mission3.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042058.8554 but bound is 1000000.0000 N=9 Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft4.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft4.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 1.2 seconds and 4 GP solves. Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465 Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007399.9173 but bound is 600000.0000 Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.7997 but bound is 1000000.0000 N=0 Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft5.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft5.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.991 seconds and 4 GP solves. Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119118.3450 but bound is 600000.0000 Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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 1.75 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839120.8369 but bound is 600000.0000 Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Using solver 'mosek_conif' for 7672 free variables in 10814 posynomial inequalities. Solving took 3.86 seconds. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.2008 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 839122.6627 but bound is 600000.0000 Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 0.773 seconds and 4 GP solves. Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.3963 but bound is 600000.0000 Warning: skipped auto-differentiation of linked variable Aircraft1.Wing.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.VerticalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") was raised. Set `gpkit.settings["ad_errors_raise"] = True` to raise such Exceptions directly. Warning: skipped auto-differentiation of linked variable Aircraft1.Empennage.HorizontalTail.Planform.cbarmac because NotImplementedError("Automatic differentiation not yet supported for <class 'pint.quantity.build_quantity_class.<locals>.Quantity'> objects") 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. Solving took 1.1 seconds and 4 GP solves. Warning: Variable Mission1.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.0536 but bound is 0.9465 Warning: Variable Mission1.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119116.4272 but bound is 600000.0000
Standard Error
/Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.dh did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.dh did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission2.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.dh did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission3.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission4.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.dh did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission5.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp tau = np.exp(-0.175/costhsun) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/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"])] /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/nomials/array.py:119: 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 np.asarray(input_array).view(cls) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,1] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,0] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,3] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,2] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/gpkit/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission1.Climb.rho[0,4] did not return a united value.Modifying it to do so (e.g. by using `()` instead of `[]` to access variables) will reduce errors. " to access variables) will reduce errors." % v) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/shape_base.py:65: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. ary = asanyarray(ary) /Users/jenkins/workspace/CE_gplibrary_Push_research_models/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:86: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray. return ufunc.reduce(obj, axis, dtype, out, **passkwargs)