Created
August 21, 2020 13:04
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import numpy as np | |
import openmdao.api as om | |
class Burn1(om.Group): | |
def setup(self): | |
self.add_subsystem('comp1', om.ExecComp(['y1=x*2'], y1=np.ones(4), x=np.ones(4)), | |
promotes_outputs=['*']) | |
self.add_subsystem('comp2', om.ExecComp(['y2=x*2'], y2=np.ones(4), x=np.ones(4)), | |
promotes_outputs=['*']) | |
def configure(self): | |
self.promotes('comp1', inputs=[('x', 'design:x')], | |
src_indices=[0, 0, 0, 0], flat_src_indices=True) | |
self.set_input_defaults('design:x', 75.3) | |
class Traj(om.Group): | |
def setup(self): | |
self.add_subsystem('burn1', Burn1(), | |
promotes_outputs=['*']) | |
def configure(self): | |
self.promotes('burn1', inputs=['design:x'], | |
src_indices=[0, 0, 0, 0], flat_src_indices=True) | |
prob = om.Problem(model=Traj()) | |
prob.setup() | |
prob.run_model() | |
# builtins.ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() | |
print('done') |
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