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test_script.py
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test_script.py
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"""Simple example demonstrating how to implement an explicit component."""
from __future__ import division
from six import assertRaisesRegex
from six.moves import cStringIO
import unittest
import numpy as np
from openmdao.api import Problem, ExplicitComponent, NewtonSolver, ScipyKrylov, Group, \
IndepVarComp, LinearBlockGS
from openmdao.utils.assert_utils import assert_rel_error
from openmdao.test_suite.components.double_sellar import SubSellar
from openmdao.utils.general_utils import printoptions
# Note: The following class definitions are used in feature docs
class RectangleComp(ExplicitComponent):
"""
A simple Explicit Component that computes the area of a rectangle.
"""
def setup(self):
self.add_input('length', val=1.)
self.add_input('width', val=1.)
self.add_output('area', val=1.)
self.declare_partials('*', '*')
def compute(self, inputs, outputs):
outputs['area'] = inputs['length'] * inputs['width']
class RectanglePartial(RectangleComp):
def compute_partials(self, inputs, partials):
partials['area', 'length'] = inputs['width']
partials['area', 'width'] = inputs['length']
class RectangleJacVec(RectangleComp):
def compute_jacvec_product(self, inputs, d_inputs, d_outputs, mode):
if mode == 'fwd':
if 'area' in d_outputs:
if 'length' in d_inputs:
d_outputs['area'] += inputs['width'] * d_inputs['length']
if 'width' in d_inputs:
d_outputs['area'] += inputs['length'] * d_inputs['width']
elif mode == 'rev':
if 'area' in d_outputs:
if 'length' in d_inputs:
d_inputs['length'] += inputs['width'] * d_outputs['area']
if 'width' in d_inputs:
d_inputs['width'] += inputs['length'] * d_outputs['area']
class RectangleGroup(Group):
def setup(self):
comp1 = self.add_subsystem('comp1', IndepVarComp())
comp1.add_output('length', 1.0)
comp1.add_output('width', 1.0)
self.add_subsystem('comp2', RectanglePartial())
self.add_subsystem('comp3', RectangleJacVec())
self.connect('comp1.length', 'comp2.length')
self.connect('comp1.length', 'comp3.length')
self.connect('comp1.width', 'comp2.width')
self.connect('comp1.width', 'comp3.width')
class ExplCompTestCase(unittest.TestCase):
def test_simple(self):
prob = Problem(RectangleComp())
prob.setup(check=False)
prob.run_model()
def test_feature_simple(self):
from openmdao.api import Problem
from openmdao.core.tests.test_expl_comp import RectangleComp
prob = Problem(RectangleComp())
prob.setup(check=False)
prob.run_model()
def test_compute_and_list(self):
prob = Problem(RectangleGroup())
prob.setup(check=False)
msg = "Unable to list inputs until model has been run."
try:
prob.model.list_inputs()
except Exception as err:
self.assertTrue(msg == str(err))
else:
self.fail("Exception expected")
msg = "Unable to list outputs until model has been run."
try:
prob.model.list_outputs()
except Exception as err:
self.assertTrue(msg == str(err))
else:
self.fail("Exception expected")
prob['comp1.length'] = 3.
prob['comp1.width'] = 2.
prob.run_model()
assert_rel_error(self, prob['comp2.area'], 6.)
assert_rel_error(self, prob['comp3.area'], 6.)
# total derivs
total_derivs = prob.compute_totals(
wrt=['comp1.length', 'comp1.width'],
of=['comp2.area', 'comp3.area']
)
assert_rel_error(self, total_derivs['comp2.area', 'comp1.length'], [[2.]])
assert_rel_error(self, total_derivs['comp3.area', 'comp1.length'], [[2.]])
assert_rel_error(self, total_derivs['comp2.area', 'comp1.width'], [[3.]])
assert_rel_error(self, total_derivs['comp3.area', 'comp1.width'], [[3.]])
# list inputs
inputs = prob.model.list_inputs(out_stream=None)
self.assertEqual(sorted(inputs), [
('comp2.length', { 'value' :[3.]}),
('comp2.width', { 'value' :[2.]}),
('comp3.length', { 'value' :[3.]}),
('comp3.width', { 'value' :[2.]}),
])
# list explicit outputs
outputs = prob.model.list_outputs(implicit=False, out_stream=None)
self.assertEqual(sorted(outputs), [
('comp1.length', { 'value' :[3.]}),
('comp1.width', { 'value' :[2.]}),
('comp2.area', { 'value' :[6.]}),
('comp3.area', { 'value' :[6.]}),
])
# list states
states = prob.model.list_outputs(explicit=False, out_stream=None)
self.assertEqual(states, [])
# list excluding both explicit and implicit components raises error
msg = "You have excluded both Explicit and Implicit components."
with assertRaisesRegex(self, RuntimeError, msg):
prob.model.list_outputs(explicit=False, implicit=False)
def test_simple_list_vars_options(self):
from openmdao.api import IndepVarComp, Group, Problem, ExecComp
prob = Problem()
prob.model = model = Group()
model.add_subsystem('p1', IndepVarComp('x', 12.0,
lower=1.0, upper=100.0,
ref = 1.1, ref0 = 2.1,
units='inch',
))
model.add_subsystem('p2', IndepVarComp('y', 1.0,
lower=2.0, upper=200.0,
ref = 1.2, res_ref = 2.2,
units='ft',
))
model.add_subsystem('comp', ExecComp('z=x+y',
x={'value': 0.0, 'units':'inch'},
y={'value': 0.0, 'units': 'inch'},
z={'value': 0.0, 'units': 'inch'}))
model.connect('p1.x', 'comp.x')
model.connect('p2.y', 'comp.y')
prob.setup()
prob.set_solver_print(level=0)
prob.run_model()
# list_inputs tests
# Cannot do exact equality here because the units cause comp.y to be slightly different than 12.0
stream = cStringIO()
inputs = prob.model.list_inputs(units=True, out_stream=stream)
tol = 1e-7
for actual, expected in zip(sorted(inputs),
[
('comp.x', {'value': [12.], 'units':'inch'}),
('comp.y', {'value': [12.], 'units':'inch'}),
]
):
self.assertEqual(expected[0], actual[0])
self.assertEqual(expected[1]['units'], actual[1]['units'])
assert_rel_error(self, expected[1]['value'], actual[1]['value'], tol)
text = stream.getvalue()
self.assertEqual(1, text.count("Input(s) in 'model'"))
self.assertEqual(1, text.count('varname'))
self.assertEqual(1, text.count('value'))
self.assertEqual(1, text.count('top'))
self.assertEqual(1, text.count(' comp'))
self.assertEqual(1, text.count(' x'))
self.assertEqual(1, text.count(' y'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(8,num_non_empty_lines)
# list_outputs tests
# list outputs for implicit comps - should get none
outputs = prob.model.list_outputs(implicit=True, explicit=False, out_stream=None)
self.assertEqual(outputs, [])
# list outputs with out_stream - just check to see if it was logged to
stream = cStringIO()
outputs = prob.model.list_outputs(out_stream=stream)
text = stream.getvalue()
self.assertEqual(1, text.count('Explicit Output'))
self.assertEqual(1, text.count('Implicit Output'))
# list outputs with out_stream and all the optional display values True
stream = cStringIO()
outputs = prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=False,
print_arrays=False,
out_stream=stream)
self.assertEqual([
('comp.z', {'value': [24.], 'resids': [0.], 'units': 'inch', 'shape': (1,),
'lower': None, 'upper': None, 'ref': 1.0, 'ref0': 0.0, 'res_ref': 1.0}),
('p1.x', {'value': [12.], 'resids': [0.], 'units': 'inch', 'shape': (1,),
'lower': [1.], 'upper': [100.], 'ref': 1.1, 'ref0': 2.1, 'res_ref': 1.1}),
('p2.y', {'value': [1.], 'resids': [0.], 'units': 'ft', 'shape': (1,),
'lower': [2.], 'upper': [200.], 'ref': 1.2, 'ref0': 0.0, 'res_ref': 2.2}),
],
sorted(outputs))
text = stream.getvalue()
self.assertEqual(1, text.count('varname'))
self.assertEqual(1, text.count('value'))
self.assertEqual(1, text.count('resids'))
self.assertEqual(1, text.count('units'))
self.assertEqual(1, text.count('shape'))
self.assertEqual(1, text.count('lower'))
self.assertEqual(1, text.count('upper'))
self.assertEqual(3, text.count('ref'))
self.assertEqual(1, text.count('ref0'))
self.assertEqual(1, text.count('res_ref'))
self.assertEqual(1, text.count('p1.x'))
self.assertEqual(1, text.count('p2.y'))
self.assertEqual(1, text.count('comp.z'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(9,num_non_empty_lines)
def test_for_feature_docs_list_vars_options(self):
from openmdao.api import IndepVarComp, Group, Problem, ExecComp
prob = Problem()
prob.model = model = Group()
model.add_subsystem('p1', IndepVarComp('x', 12.0,
lower=1.0, upper=100.0,
ref = 1.1, ref0 = 2.1,
units='inch',
))
model.add_subsystem('p2', IndepVarComp('y', 1.0,
lower=2.0, upper=200.0,
ref = 1.2, res_ref = 2.2,
units='ft',
))
model.add_subsystem('comp', ExecComp('z=x+y',
x={'value': 0.0, 'units': 'inch'},
y={'value': 0.0, 'units': 'inch'},
z={'value': 0.0, 'units': 'inch'}))
model.connect('p1.x', 'comp.x')
model.connect('p2.y', 'comp.y')
prob.setup()
prob.set_solver_print(level=0)
prob.run_model()
inputs = prob.model.list_inputs(units=True)
print(inputs)
outputs = prob.model.list_outputs(implicit=False,
values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=False,
print_arrays=False)
self.assertEqual(sorted(outputs), [
('comp.z', {'value': [ 24.], 'resids': [ 0.], 'units': 'inch', 'shape': (1,),
'lower': None, 'upper': None, 'ref': 1.0, 'ref0': 0.0, 'res_ref': 1.0} ),
('p1.x', {'value': [ 12.], 'resids': [ 0.], 'units': 'inch', 'shape': (1,),
'lower': [ 1.], 'upper': [ 100.], 'ref': 1.1, 'ref0': 2.1, 'res_ref': 1.1} ),
('p2.y', {'value': [ 1.], 'resids': [ 0.], 'units': 'ft', 'shape': (1,),
'lower': [ 2.], 'upper': [ 200.], 'ref': 1.2, 'ref0': 0.0, 'res_ref': 2.2}),
]
)
outputs = prob.model.list_outputs(implicit=False,
values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=True,
print_arrays=False)
def test_hierarchy_list_vars_options(self):
prob = Problem()
model = prob.model
model.add_subsystem('pz', IndepVarComp('z', np.array([5.0, 2.0])))
sub1 = model.add_subsystem('sub1', Group())
sub2 = sub1.add_subsystem('sub2', Group())
g1 = sub2.add_subsystem('g1', SubSellar())
g2 = model.add_subsystem('g2', SubSellar())
model.connect('pz.z', 'sub1.sub2.g1.z')
model.connect('sub1.sub2.g1.y2', 'g2.x')
model.connect('g2.y2', 'sub1.sub2.g1.x')
model.nonlinear_solver = NewtonSolver()
model.linear_solver = ScipyKrylov()
model.nonlinear_solver.options['solve_subsystems'] = True
model.nonlinear_solver.options['max_sub_solves'] = 0
g1.nonlinear_solver = NewtonSolver()
g1.linear_solver = LinearBlockGS()
g2.nonlinear_solver = NewtonSolver()
g2.linear_solver = ScipyKrylov()
g2.linear_solver.precon = LinearBlockGS()
g2.linear_solver.precon.options['maxiter'] = 2
prob.setup(check=False)
prob.run_driver()
# logging inputs
# out_stream - not hierarchical - extras - no print_arrays
stream = cStringIO()
prob.model.list_inputs(values=True,
units=True,
hierarchical=False,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(1, text.count("10 Input(s) in 'model'"))
# make sure they are in the correct order
self.assertTrue(text.find("sub1.sub2.g1.d1.z") <
text.find('sub1.sub2.g1.d1.x') <
text.find('sub1.sub2.g1.d1.y2') <
text.find('sub1.sub2.g1.d2.z') <
text.find('sub1.sub2.g1.d2.y1') <
text.find('g2.d1.z') <
text.find('g2.d1.x') <
text.find('g2.d1.y2') <
text.find('g2.d2.z') <
text.find('g2.d2.y1'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(14, num_non_empty_lines)
# out_stream - hierarchical - extras - no print_arrays
stream = cStringIO()
prob.model.list_inputs(values=True,
units=True,
hierarchical=True,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(1, text.count("10 Input(s) in 'model'"))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(23, num_non_empty_lines)
self.assertEqual(1, text.count('top'))
self.assertEqual(1, text.count(' sub1'))
self.assertEqual(1, text.count(' sub2'))
self.assertEqual(1, text.count(' g1'))
self.assertEqual(1, text.count(' d1'))
self.assertEqual(2, text.count(' z'))
# logging outputs
# out_stream - not hierarchical - extras - no print_arrays
stream = cStringIO()
prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=False,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(text.count('5 Explicit Output'), 1)
# make sure they are in the correct order
self.assertTrue(text.find("pz.z") < text.find('sub1.sub2.g1.d1.y1') < text.find('sub1.sub2.g1.d2.y2') < \
text.find('g2.d1.y1') < text.find('g2.d2.y2'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(11, num_non_empty_lines)
# Hierarchical
stream = cStringIO()
prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=True,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(text.count('top'), 1)
self.assertEqual(text.count(' y1'), 1)
self.assertEqual(text.count(' g2'), 1)
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(num_non_empty_lines, 21)
def test_array_list_vars_options(self):
class ArrayAdder(ExplicitComponent):
"""
Just a simple component that has array inputs and outputs
"""
def __init__(self, size):
super(ArrayAdder, self).__init__()
self.size = size
def setup(self):
self.add_input('x', val=np.zeros(self.size), units='inch')
self.add_output('y', val=np.zeros(self.size), units='ft')
def compute(self, inputs, outputs):
outputs['y'] = inputs['x'] + 10.0
size = 100 # how many items in the array
prob = Problem()
prob.model = Group()
prob.model.add_subsystem('des_vars', IndepVarComp('x', np.ones(size), units='inch'), promotes=['x'])
prob.model.add_subsystem('mult', ArrayAdder(size), promotes=['x', 'y'])
prob.setup(check=False)
prob['x'] = np.ones(size)
prob.run_driver()
# logging inputs
# out_stream - not hierarchical - extras - no print_arrays
stream = cStringIO()
prob.model.list_inputs(values=True,
units=True,
hierarchical=False,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(1, text.count("1 Input(s) in 'model'"))
self.assertEqual(1, text.count('mult.x'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(5, num_non_empty_lines)
# out_stream - hierarchical - extras - no print_arrays
stream = cStringIO()
prob.model.list_inputs(values=True,
units=True,
hierarchical=True,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(1, text.count("1 Input(s) in 'model'"))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(7, num_non_empty_lines)
self.assertEqual(1, text.count('top'))
self.assertEqual(1, text.count(' mult'))
self.assertEqual(1, text.count(' x'))
# logging outputs
# out_stream - not hierarchical - extras - no print_arrays
stream = cStringIO()
prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=False,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(text.count('2 Explicit Output'), 1)
# make sure they are in the correct order
self.assertTrue(text.find("des_vars.x") < text.find('mult.y'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(8, num_non_empty_lines)
# Hierarchical - no print arrays
stream = cStringIO()
prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=True,
print_arrays=False,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(text.count('top'), 1)
self.assertEqual(text.count(' des_vars'), 1)
self.assertEqual(text.count(' x'), 1)
self.assertEqual(text.count(' mult'), 1)
self.assertEqual(text.count(' y'), 1)
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(num_non_empty_lines, 11)
# Need to explicitly set this to make sure all ways of running this test
# result in the same format of the output. When running this test from the
# top level via testflo, the format comes out different than if the test is
# run individually
opts = {
'edgeitems': 3,
'infstr': 'inf',
'linewidth': 75,
'nanstr': 'nan',
'precision': 8,
'suppress': False,
'threshold': 1000,
}
from distutils.version import LooseVersion
if LooseVersion(np.__version__) >= LooseVersion("1.14"):
opts['legacy'] = '1.13'
with printoptions(**opts):
# logging outputs
# out_stream - not hierarchical - extras - print_arrays
stream = cStringIO()
prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=False,
print_arrays=True,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(text.count('2 Explicit Output'), 1)
self.assertEqual(text.count('value:'), 2)
self.assertEqual(text.count('resids:'), 2)
self.assertEqual(text.count('['), 4)
# make sure they are in the correct order
self.assertTrue(text.find("des_vars.x") < text.find('mult.y'))
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(37, num_non_empty_lines)
# Hierarchical
stream = cStringIO()
prob.model.list_outputs(values=True,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=True,
print_arrays=True,
out_stream=stream)
text = stream.getvalue()
self.assertEqual(text.count('2 Explicit Output'), 1)
self.assertEqual(text.count('value:'), 2)
self.assertEqual(text.count('resids:'), 2)
self.assertEqual(text.count('['), 4)
self.assertEqual(text.count('top'), 1)
self.assertEqual(text.count(' des_vars'), 1)
self.assertEqual(text.count(' x'), 1)
self.assertEqual(text.count(' mult'), 1)
self.assertEqual(text.count(' y'), 1)
num_non_empty_lines = sum([1 for s in text.splitlines() if s.strip()])
self.assertEqual(num_non_empty_lines, 40)
def test_for_docs_array_list_vars_options(self):
import numpy as np
from openmdao.api import Problem, Group, IndepVarComp, ExplicitComponent
class ArrayAdder(ExplicitComponent):
"""
Just a simple component that has array inputs and outputs
"""
def __init__(self, size):
super(ArrayAdder, self).__init__()
self.size = size
def setup(self):
self.add_input('x', val=np.zeros(self.size), units='inch')
self.add_output('y', val=np.zeros(self.size), units='ft')
def compute(self, inputs, outputs):
outputs['y'] = inputs['x'] + 10.0
size = 30
prob = Problem()
prob.model = Group()
prob.model.add_subsystem('des_vars', IndepVarComp('x', np.ones(size), units='inch'),
promotes=['x'])
prob.model.add_subsystem('mult', ArrayAdder(size), promotes=['x', 'y'])
prob.setup(check=False)
prob['x'] = np.arange(size)
prob.run_driver()
prob.model.list_inputs(values=True,
units=True,
hierarchical=True,
print_arrays=True)
with printoptions(edgeitems=3, infstr='inf',
linewidth = 75, nanstr = 'nan', precision = 8,
suppress = False, threshold = 1000, formatter = None):
prob.model.list_outputs(values=True,
implicit=False,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=False,
print_arrays=True)
prob.model.list_outputs(values=True,
implicit=False,
units=True,
shape=True,
bounds=True,
residuals=True,
scaling=True,
hierarchical=True,
print_arrays=True)
if __name__ == '__main__':
unittest.main()