Kenneth-T-Moore

import numpy as np

import openmdao.api as om
from openmdao.utils.assert_utils import assert_near_equal

import dymos as dm
from dymos.examples.brachistochrone.brachistochrone_ode import BrachistochroneODE


class ParamComp(om.ExplicitComponent):

Kenneth-T-Moore

"""
Equivalent OpenMDAO example.

import numpy as np
import openmdao.api as om

prob = om.Problem()
model = prob.model

model.add_subsystem('comp', om.ExecComp(['y=2.0*x + 100', 'y2=3.0*x', 'obj=sum(-3.0*x**2)']))

Kenneth-T-Moore

import numpy as np

import openmdao.api as om
from openmdao.test_suite.components.paraboloid import Paraboloid


class SubProblem(om.ExplicitComponent):

    def setup(self):
        self.add_input('x', val=0.0)

Kenneth-T-Moore

import unittest

import numpy as np
import openmdao.api as om

from openmdao.utils.assert_utils import assert_near_equal, assert_check_partials


class CrossSectionProperties(om.ExplicitComponent):
    """ Calculates the cross-section area and area moments of inertia. """

Kenneth-T-Moore

import numpy as np

import openmdao.api as om
from openmdao.components.interp_util.interp_semi import InterpNDSemi

grid = np.array([
    [1.0, 5.0, 8.0],
    [1.0, 5.0, 9.0],
    [1.0, 5.0, 10.0],
    [1.0, 5.0, 20.0],

Kenneth-T-Moore

import numpy as np

import openmdao.api as om
from openmdao.utils.array_utils import evenly_distrib_idxs
from openmdao.utils.mpi import MPI


class Distrib_Derivs(om.ExplicitComponent):
    """Simplest example that combines distributed and serial inputs and outputs."""

Kenneth-T-Moore

import numpy as np

import openmdao.api as om
from openmdao.utils.array_utils import evenly_distrib_idxs
from openmdao.utils.mpi import MPI


class Distrib_Derivs(om.ExplicitComponent):
    """Simplest example that combines distributed and serial inputs and outputs."""

Kenneth-T-Moore

"""
Compares a draft to the original link and finds issues.
"""
from __future__ import print_function

from collections import OrderedDict
import re
import urllib

ALBUMID = 46185

Kenneth-T-Moore

import numpy as np
from scipy.optimize import minimize

import openmdao.api as om


class DynamicPressureComp(om.ExplicitComponent):

    def setup(self):
        self.add_input(name='rho', val=1.0, units='kg/m**3',

Kenneth-T-Moore

import numpy as np

import openmdao.api as om


class RHS(om.Group):

    def initialize(self):
        self.options.declare('size', 1)