import numpy as nm
import scipy.sparse as sps
import pytest
import sfepy.base.testing as tst
[docs]
@pytest.fixture(scope='module')
def data():
from sfepy.base.base import Struct
conn = nm.array([[0, 1, 2],
[2, 3, 4]], dtype=nm.int32)
num = conn.max() + 1
iels = nm.array([0, 1], dtype=nm.int32)
vec_in_els = nm.array([[1, 1, 1], [2, 2, 2]], dtype=nm.float64)
vec_in_els.shape = (2, 1, 1, 3)
mtx_in_els = nm.array([nm.ones((3, 3)), 2 * nm.ones((3, 3))],
dtype=nm.float64)
mtx_in_els.shape = (2, 1, 3, 3)
return Struct(conn=conn, num=num, iels=iels,
vec_in_els=vec_in_els, mtx_in_els=mtx_in_els)
[docs]
def test_assemble_vector(data):
from sfepy.discrete.common.extmods.assemble import assemble_vector
vec = nm.zeros(data.num, dtype=nm.float64)
assemble_vector(vec, data.vec_in_els, data.iels, 1, data.conn)
aux = nm.array([1, 1, 3, 2, 2], dtype=nm.float64)
tst.report('assembled: %s' % vec)
tst.report('expected: %s' % aux)
ok = tst.compare_vectors(vec, aux, label1='assembled', label2='expected')
assert ok
[docs]
def test_assemble_vector_complex(data):
from sfepy.discrete.common.extmods.assemble import assemble_vector_complex
vec = nm.zeros(data.num, dtype=nm.complex128)
vec_in_els = data.vec_in_els.astype(nm.complex128) * (2 - 3j)
assemble_vector_complex(vec, vec_in_els, data.iels, 1, data.conn)
aux = nm.array([2-3j, 2-3j, 6-9j, 4-6j, 4-6j],
dtype=nm.complex128)
tst.report('assembled: %s' % vec)
tst.report('expected: %s' % aux)
ok = tst.compare_vectors(vec, aux, label1='assembled', label2='expected')
assert ok
[docs]
def test_assemble_matrix(data):
from sfepy.discrete.common.extmods.assemble import assemble_matrix
mtx = sps.csr_matrix(nm.ones((data.num, data.num),
dtype=nm.float64))
mtx.data[:] = 0.0
assemble_matrix(mtx.data, mtx.indptr, mtx.indices, data.mtx_in_els,
data.iels, 1, data.conn, data.conn)
aux = nm.array([[1, 1, 1, 0, 0],
[1, 1, 1, 0, 0],
[1, 1, 3, 2, 2],
[0, 0, 2, 2, 2],
[0, 0, 2, 2, 2]], dtype=nm.float64)
tst.report('assembled:\n%s' % mtx.toarray())
tst.report('expected:\n%s' % aux)
ok = tst.compare_vectors(mtx, aux, label1='assembled', label2='expected')
assert ok
[docs]
def test_assemble_matrix_complex(data):
from sfepy.discrete.common.extmods.assemble import assemble_matrix_complex
mtx = sps.csr_matrix(nm.ones((data.num, data.num),
dtype=nm.complex128))
mtx.data[:] = 0.0
mtx_in_els = data.mtx_in_els.astype(nm.complex128) * (2 - 3j)
assemble_matrix_complex(mtx.data, mtx.indptr, mtx.indices, mtx_in_els,
data.iels, 1, data.conn, data.conn)
aux = nm.array([[2-3j, 2-3j, 2-3j, 0+0j, 0+0j],
[2-3j, 2-3j, 2-3j, 0+0j, 0+0j],
[2-3j, 2-3j, 6-9j, 4-6j, 4-6j],
[0+0j, 0+0j, 4-6j, 4-6j, 4-6j],
[0+0j, 0+0j, 4-6j, 4-6j, 4-6j]], dtype=nm.complex128)
tst.report('assembled:\n%s' % mtx.toarray())
tst.report('expected:\n%s' % aux)
ok = tst.compare_vectors(mtx, aux, label1='assembled', label2='expected')
assert ok