You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
from io import StringIO
|
|
import tempfile
|
|
|
|
import numpy as np
|
|
|
|
from numpy.testing import assert_equal, \
|
|
assert_array_almost_equal_nulp
|
|
|
|
from scipy.sparse import coo_matrix, csc_matrix, rand
|
|
|
|
from scipy.io import hb_read, hb_write
|
|
|
|
|
|
SIMPLE = """\
|
|
No Title |No Key
|
|
9 4 1 4
|
|
RUA 100 100 10 0
|
|
(26I3) (26I3) (3E23.15)
|
|
1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
|
|
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
|
|
3 3 3 3 3 3 3 4 4 4 6 6 6 6 6 6 6 6 6 6 6 8 9 9 9 9
|
|
9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 11
|
|
37 71 89 18 30 45 70 19 25 52
|
|
2.971243799687726e-01 3.662366682877375e-01 4.786962174699534e-01
|
|
6.490068647991184e-01 6.617490424831662e-02 8.870370343191623e-01
|
|
4.196478590163001e-01 5.649603072111251e-01 9.934423887087086e-01
|
|
6.912334991524289e-01
|
|
"""
|
|
|
|
SIMPLE_MATRIX = coo_matrix(
|
|
((0.297124379969, 0.366236668288, 0.47869621747, 0.649006864799,
|
|
0.0661749042483, 0.887037034319, 0.419647859016,
|
|
0.564960307211, 0.993442388709, 0.691233499152,),
|
|
(np.array([[36, 70, 88, 17, 29, 44, 69, 18, 24, 51],
|
|
[0, 4, 58, 61, 61, 72, 72, 73, 99, 99]]))))
|
|
|
|
|
|
def assert_csc_almost_equal(r, l):
|
|
r = csc_matrix(r)
|
|
l = csc_matrix(l)
|
|
assert_equal(r.indptr, l.indptr)
|
|
assert_equal(r.indices, l.indices)
|
|
assert_array_almost_equal_nulp(r.data, l.data, 10000)
|
|
|
|
|
|
class TestHBReader(object):
|
|
def test_simple(self):
|
|
m = hb_read(StringIO(SIMPLE))
|
|
assert_csc_almost_equal(m, SIMPLE_MATRIX)
|
|
|
|
|
|
class TestHBReadWrite(object):
|
|
|
|
def check_save_load(self, value):
|
|
with tempfile.NamedTemporaryFile(mode='w+t') as file:
|
|
hb_write(file, value)
|
|
file.file.seek(0)
|
|
value_loaded = hb_read(file)
|
|
assert_csc_almost_equal(value, value_loaded)
|
|
|
|
def test_simple(self):
|
|
random_matrix = rand(10, 100, 0.1)
|
|
for matrix_format in ('coo', 'csc', 'csr', 'bsr', 'dia', 'dok', 'lil'):
|
|
matrix = random_matrix.asformat(matrix_format, copy=False)
|
|
self.check_save_load(matrix)
|