def test_to_float(self):
     # Scalar.
     xi = 1
     xf = numpy_compare.to_float(xi)
     self.assertEqual(xf.dtype, float)
     self.assertEqual(xi, xf)
     # Array.
     Xi = np.array([1, 2, 3], np.int)
     Xf = numpy_compare.to_float(Xi)
     self.assertEqual(Xf.dtype, float)
     np.testing.assert_equal(Xi, Xf)
     # Custom.
     a = Custom("1.")
     b = Custom("2.")
     self.assertEqual(numpy_compare.to_float(a), 1.)
     A = np.array([a, b])
     np.testing.assert_equal(numpy_compare.to_float(A), [1., 2.])
     # - Convenience float comparators.
     numpy_compare.assert_float_equal(a, 1.)
     with self.assertRaises(AssertionError):
         numpy_compare.assert_float_equal(a, 2.)
     numpy_compare.assert_float_not_equal(a, 2.)
     with self.assertRaises(AssertionError):
         numpy_compare.assert_float_not_equal(a, 1.)
     numpy_compare.assert_float_equal(A, [1., 2.])
     # Check nearness.
     Af_delta = numpy_compare.to_float(A) + 5e-16
     numpy_compare.assert_float_not_equal(A, Af_delta)
     numpy_compare.assert_float_allclose(A, Af_delta)
 def test_to_float(self):
     # Scalar.
     xi = 1
     xf = npc.to_float(xi)
     self.assertEqual(xf.dtype, float)
     self.assertEqual(xi, xf)
     # Array.
     Xi = np.array([1, 2, 3], np.int)
     Xf = npc.to_float(Xi)
     self.assertEqual(Xf.dtype, float)
     np.testing.assert_equal(Xi, Xf)
     # Custom.
     a = Custom("1.")
     b = Custom("2.")
     self.assertEqual(npc.to_float(a), 1.)
     A = np.array([a, b])
     np.testing.assert_equal(npc.to_float(A), [1., 2.])
     # - Convenience float comparators.
     npc.assert_float_equal(a, 1.)
     with self.assertRaises(AssertionError):
         npc.assert_float_equal(a, 2.)
     npc.assert_float_not_equal(a, 2.)
     with self.assertRaises(AssertionError):
         npc.assert_float_not_equal(a, 1.)
     npc.assert_float_equal(A, [1., 2.])
     # Check nearness.
     Af_delta = npc.to_float(A) + 5e-16
     npc.assert_float_not_equal(A, Af_delta)
     npc.assert_float_allclose(A, Af_delta)
示例#3
0
    def test_multibody_dynamics(self, T):
        MultibodyPlant = MultibodyPlant_[T]
        MultibodyForces = MultibodyForces_[T]
        SpatialForce = SpatialForce_[T]

        file_name = FindResourceOrThrow(
            "drake/multibody/benchmarks/acrobot/acrobot.sdf")
        # N.B. `Parser` only supports `MultibodyPlant_[float]`.
        plant_f = MultibodyPlant_[float]()
        Parser(plant_f).AddModelFromFile(file_name)
        # Getting ready for when we set foot on Mars :-).
        gravity_vector = np.array([0.0, 0.0, -3.71])
        plant_f.mutable_gravity_field().set_gravity_vector(gravity_vector)
        plant_f.Finalize()
        plant = to_type(plant_f, T)
        context = plant.CreateDefaultContext()

        numpy_compare.assert_float_equal(
            plant.gravity_field().gravity_vector(), gravity_vector)

        # Set an arbitrary configuration away from the model's fixed point.
        plant.SetPositions(context, [0.1, 0.2])

        M = plant.CalcMassMatrixViaInverseDynamics(context)
        Cv = plant.CalcBiasTerm(context)

        self.assertTrue(M.shape == (2, 2))
        self.assert_sane(M)
        self.assertTrue(Cv.shape == (2, ))
        self.assert_sane(Cv, nonzero=False)
        nv = plant.num_velocities()
        vd_d = np.zeros(nv)
        tau = plant.CalcInverseDynamics(
            context, vd_d, MultibodyForces(plant))
        self.assertEqual(tau.shape, (2,))
        self.assert_sane(tau, nonzero=False)
        # - Existence checks.
        # Gravity leads to non-zero potential energy.
        potential_energy = plant.CalcPotentialEnergy(context)
        numpy_compare.assert_float_not_equal(potential_energy, 0.)
        plant.CalcConservativePower(context)
        tau_g = plant.CalcGravityGeneralizedForces(context)
        self.assertEqual(tau_g.shape, (nv,))
        self.assert_sane(tau_g, nonzero=True)

        B = plant.MakeActuationMatrix()
        numpy_compare.assert_float_equal(B, np.array([[0.], [1.]]))

        forces = MultibodyForces(plant=plant)
        plant.CalcForceElementsContribution(context=context, forces=forces)

        # Test generalized forces.
        # N.B. Cannot use `ndarray[object]` to reference existing C arrays
        # (#8116).
        if T == float:
            forces.mutable_generalized_forces()[:] = 1
            np.testing.assert_equal(forces.generalized_forces(), 1)
            forces.SetZero()
            np.testing.assert_equal(forces.generalized_forces(), 0)

        # Test body force accessors and mutators.
        link2 = plant.GetBodyByName("Link2")
        self.assertIsInstance(
            link2.GetForceInWorld(context, forces), SpatialForce)
        forces.SetZero()
        F_expected = np.array([1., 2., 3., 4., 5., 6.])
        link2.AddInForceInWorld(
            context, F_Bo_W=SpatialForce(F=F_expected), forces=forces)
        coeff = numpy_compare.to_float(
                link2.GetForceInWorld(context, forces).get_coeffs())
        numpy_compare.assert_float_equal(coeff, F_expected)
        link2.AddInForce(
            context, p_BP_E=[0, 0, 0], F_Bp_E=SpatialForce(F=F_expected),
            frame_E=plant.world_frame(), forces=forces)
        # Also check accumulation.
        np.testing.assert_equal(numpy_compare.to_float(
            link2.GetForceInWorld(context, forces).get_coeffs()),
            2 * F_expected)
示例#4
0
 def assert_sane(self, x, nonzero=True):
     self.assertTrue(np.all(np.isfinite(numpy_compare.to_float(x))))
     if nonzero:
         numpy_compare.assert_float_not_equal(x, 0.)