1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
|
"""test sparse matrix construction functions"""
from __future__ import division, print_function, absolute_import
from numpy.testing import assert_equal
from scipy.sparse import csr_matrix
import numpy as np
from scipy.sparse import extract
class TestExtract(object):
def setup_method(self):
self.cases = [
csr_matrix([[1,2]]),
csr_matrix([[1,0]]),
csr_matrix([[0,0]]),
csr_matrix([[1],[2]]),
csr_matrix([[1],[0]]),
csr_matrix([[0],[0]]),
csr_matrix([[1,2],[3,4]]),
csr_matrix([[0,1],[0,0]]),
csr_matrix([[0,0],[1,0]]),
csr_matrix([[0,0],[0,0]]),
csr_matrix([[1,2,0,0,3],[4,5,0,6,7],[0,0,8,9,0]]),
csr_matrix([[1,2,0,0,3],[4,5,0,6,7],[0,0,8,9,0]]).T,
]
def find(self):
for A in self.cases:
I,J,V = extract.find(A)
assert_equal(A.toarray(), csr_matrix(((I,J),V), shape=A.shape))
def test_tril(self):
for A in self.cases:
B = A.toarray()
for k in [-3,-2,-1,0,1,2,3]:
assert_equal(extract.tril(A,k=k).toarray(), np.tril(B,k=k))
def test_triu(self):
for A in self.cases:
B = A.toarray()
for k in [-3,-2,-1,0,1,2,3]:
assert_equal(extract.triu(A,k=k).toarray(), np.triu(B,k=k))
|
