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gpkit.tests.from_paths.TestFiles.test_solar_sens_chart_py_mosek_cli (from gpkit.tests.from_paths.TestFiles-20210427184623)

Failing for the past 1 build (Since Failed #486 )
Took 1.8 sec.

Error Message

Cannot convert from 'meter / second ** 2' to 'dimensionless'

Stacktrace

Traceback (most recent call last):
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/helpers.py", line 55, in test
    testfn(name, import_dict, path)(self)
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 48, in <lambda>
    lambda self: getattr(self, name)()))  # pylint:disable=undefined-variable
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/tests/from_paths.py", line 37, in test_fn
    mod.test()
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar/solar/sens_chart.py", line 98, in test
    _ = get_highestsens(model, result)
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/solar/solar/sens_chart.py", line 52, in get_highestsens
    labels.append(lbl + "$ =%.2f$ %s" % (val, uts.replace("*", "")))
  File "/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/pint/quantity.py", line 833, in __float__
    raise DimensionalityError(self._units, "dimensionless")
pint.errors.DimensionalityError: Cannot convert from 'meter / second ** 2' to 'dimensionless'
		

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 0.715 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.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 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.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 97 free variables
  in 23 locally-GP constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
Solving took 0.746 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 0.764 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 0.85 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.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 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.

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 0.908 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.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 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.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 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 0.75 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 1.19 seconds and 4 GP solves.
Warning: Variable Mission.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 0.8904 but bound is 0.9465
Warning: Variable Mission.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1632910.5284 but bound is 600000.0000
Warning: Variable Mission.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1259327.2137 but bound is 1000000.0000

N=3
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.

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.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 97 free variables
  in 23 locally-GP constraints
  and for 1032 free variables
       in 1384 posynomial inequalities.
Solving took 1.22 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 1036200.6917 but bound is 600000.0000
Warning: Variable Mission1.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1006642.0978 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.
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=7
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.

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.

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 0.946 seconds and 4 GP solves.
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1643 but bound is 0.9465
Warning: Variable Mission4.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 976141.9288 but bound is 600000.0000
Warning: Variable Mission4.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1042059.1434 but bound is 1000000.0000

N=9
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.

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.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 1.17 seconds and 4 GP solves.
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.CL[:] could cause inaccurate result because it is below lower bound. Solution is 1.1567 but bound is 0.9465
Warning: Variable Mission5.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1007400.0795 but bound is 600000.0000
Warning: Variable Mission5.Climb.AircraftDrag.TailAero1.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1092544.9570 but bound is 1000000.0000

N=0
Warning: skipped auto-differentiation of linked variable Aircraft6.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 Aircraft6.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 Aircraft6.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 85 free variables
  in 21 locally-GP constraints
  and for 954 free variables
       in 1269 posynomial inequalities.
Solving took 1.16 seconds and 4 GP solves.
Warning: Variable Mission6.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 Mission6.Climb.AircraftDrag.WingAero.Re[:] could cause inaccurate result because it is above upper bound. Solution is 1119115.1238 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.

Using solver 'mosek_cli'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 1.72 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.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.

Using solver 'mosek_conif'
 for 7672 free variables
  in 10814 posynomial inequalities.
Solving took 3.28 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 839124.6667 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 0.779 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.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 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.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 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 1119118.4237 but bound is 600000.0000
	

Standard Error

/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/small_scripts.py:10: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return np.array(linkedfn(c))[i]
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:45: UserWarning: 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) will reduce errors.
  " to access variables) will reduce errors." % v)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission6.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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission6.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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission6.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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission6.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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/gpkit/constraints/prog_factories.py:45: UserWarning: Linked function for Mission6.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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/gassolar/environment/solar_irradiance.py:40: RuntimeWarning: overflow encountered in exp
  tau = np.exp(-0.175/costhsun)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/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)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/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_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/_asarray.py:171: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return array(a, dtype, copy=False, order=order, subok=True)
/Users/jenkins/workspace/CE_gpkit_PR_research_models/buildnode/macys_VM/optimizer/mosek/venv2_gpkit/lib/python3.7/site-packages/numpy/core/fromnumeric.py:87: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)