def setUp(self):
if not os.access('.', os.W_OK):
raise RuntimeError('Cannot write to current directory')
self.test_dir = 'file_LTIGalerkinProj_DELETE_ME'
if parallel.is_rank_zero() and not os.path.exists(self.test_dir):
os.mkdir(self.test_dir)
parallel.barrier()
self.basis_vec_path = join(self.test_dir, 'basis_vec_%02d.txt')
self.adjoint_basis_vec_path = join(self.test_dir,
'adjoint_basis_vec_%02d.txt')
self.A_on_basis_vec_path = join(self.test_dir, 'A_on_mode_%02d.txt')
self.B_on_basis_path = join(self.test_dir, 'B_on_basis_%02d.txt')
self.C_on_basis_vec_path = join(self.test_dir, 'C_on_mode_%02d.txt')
self.num_basis_vecs = 10
self.num_adjoint_basis_vecs = 10
self.num_states = 11
self.num_inputs = 3
self.num_outputs = 2
self.generate_data_set(self.num_basis_vecs,
self.num_adjoint_basis_vecs, self.num_states,
self.num_inputs, self.num_outputs)
self.LTI_proj = lgp.LTIGalerkinProjectionHandles(
np.vdot,
self.basis_vec_handles,
adjoint_basis_vec_handles=self.adjoint_basis_vec_handles,
is_basis_orthonormal=True,
verbosity=0)
def test_adjoint_basis_vec_optional(self):
"""Test that adjoint modes default to direct modes"""
no_adjoints_LTI_proj = lgp.LTIGalerkinProjectionHandles(
np.vdot,
self.basis_vec_handles,
is_basis_orthonormal=True,
verbosity=0)
np.testing.assert_equal(no_adjoints_LTI_proj.adjoint_basis_vec_handles,
self.basis_vec_handles)
def test_reduce_B(self):
"""Given modes, test reduced B matrix, orthogonal and non-orthogonal."""
B_returned = self.LTI_proj.reduce_B(self.B_on_standard_basis_handles)
np.testing.assert_allclose(B_returned, self.B_true)
LTI_proj = LGP.LTIGalerkinProjectionHandles(np.vdot,
self.basis_vec_handles, self.adjoint_basis_vec_handles,
is_basis_orthonormal=False, verbosity=0)
B_returned = LTI_proj.reduce_B(self.B_on_standard_basis_handles)
np.testing.assert_allclose(B_returned, self.B_true_nonorth)
def test_reduce_A(self):
"""Reduction of A array for Array, LookUp operators and in_memory."""
A_returned = self.LTI_proj.reduce_A(self.A_on_basis_vec_handles)
np.testing.assert_allclose(A_returned, self.A_true)
LTI_proj = lgp.LTIGalerkinProjectionHandles(
np.vdot,
self.basis_vec_handles,
adjoint_basis_vec_handles=self.adjoint_basis_vec_handles,
is_basis_orthonormal=False,
verbosity=0)
A_returned = LTI_proj.reduce_A(self.A_on_basis_vec_handles)
np.testing.assert_allclose(LTI_proj._proj_array, self.proj_array)
np.testing.assert_allclose(A_returned, self.A_true_non_orth)
def test_reduce_A(self):
"""Reduction of A matrix for Matrix, LookUp operators and in_memory."""
# Precomputed operations A object with vec handles
A_returned = self.LTI_proj.reduce_A(self.A_on_basis_vec_handles)
np.testing.assert_allclose(A_returned, self.A_true)
# Precomputed operations A object with vec handles, non-orthonormal
# modes
LTI_proj = LGP.LTIGalerkinProjectionHandles(
np.vdot, self.basis_vec_handles, self.adjoint_basis_vec_handles,
is_basis_orthonormal=False, verbosity=0)
A_returned = LTI_proj.reduce_A(self.A_on_basis_vec_handles)
np.testing.assert_allclose(LTI_proj._proj_mat, self.proj_mat)
np.testing.assert_allclose(A_returned, self.A_true_nonorth)
