def insert_sparse_to_csr(mtx1, mtx2, irs, ics):
"""
Insert a sparse matrix `mtx2` into a CSR sparse matrix `mtx1` at
rows `irs` and columns `ics`. The submatrix `mtx1[irs,ics]` must
already be preallocated and have the same structure as `mtx2`.
"""
import sfepy.discrete.fem.extmods.assemble as asm
if isinstance(irs, slice):
irs = nm.arange(irs.start, irs.stop, irs.step, dtype=nm.int32)
if isinstance(ics, slice):
ics = nm.arange(ics.start, ics.stop, ics.step, dtype=nm.int32)
n_row, n_col = mtx1.shape
assert_((irs.min() >= 0) and (irs.max() < n_row))
assert_((ics.min() >= 0) and (ics.max() < n_col))
aux = mtx2.tocoo()
data = nm.ascontiguousarray(aux.data[:,None,None,None])
rows = irs[aux.row[:,None]]
cols = ics[aux.col[:,None]]
iels = nm.arange(rows.shape[0], dtype=nm.int32)
asm.assemble_matrix(mtx1.data, mtx1.indptr, mtx1.indices, data,
iels, 1.0, rows, cols)
def test_assemble_matrix(self):
from sfepy.discrete.fem.extmods.assemble import assemble_matrix
mtx = sps.csr_matrix(nm.ones((self.num, self.num),
dtype=nm.float64))
mtx.data[:] = 0.0
assemble_matrix(mtx.data, mtx.indptr, mtx.indices, self.mtx_in_els,
self.iels, 1, self.conn, self.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)
self.report('assembled:\n%s' % mtx.toarray())
self.report('expected:\n%s' % aux)
ok = self.compare_vectors(mtx, aux,
label1='assembled',
label2='expected')
return ok
