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.
61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
5 years ago
|
from __future__ import division, print_function, absolute_import
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
from numpy.testing import assert_array_almost_equal, assert_
|
||
|
|
from scipy.sparse import csr_matrix
|
||
|
|
|
||
|
|
|
||
|
|
def _check_csr_rowslice(i, sl, X, Xcsr):
|
||
|
|
np_slice = X[i, sl]
|
||
|
|
csr_slice = Xcsr[i, sl]
|
||
|
|
assert_array_almost_equal(np_slice, csr_slice.toarray()[0])
|
||
|
|
assert_(type(csr_slice) is csr_matrix)
|
||
|
|
|
||
|
|
|
||
|
|
def test_csr_rowslice():
|
||
|
|
N = 10
|
||
|
|
np.random.seed(0)
|
||
|
|
X = np.random.random((N, N))
|
||
|
|
X[X > 0.7] = 0
|
||
|
|
Xcsr = csr_matrix(X)
|
||
|
|
|
||
|
|
slices = [slice(None, None, None),
|
||
|
|
slice(None, None, -1),
|
||
|
|
slice(1, -2, 2),
|
||
|
|
slice(-2, 1, -2)]
|
||
|
|
|
||
|
|
for i in range(N):
|
||
|
|
for sl in slices:
|
||
|
|
_check_csr_rowslice(i, sl, X, Xcsr)
|
||
|
|
|
||
|
|
|
||
|
|
def test_csr_getrow():
|
||
|
|
N = 10
|
||
|
|
np.random.seed(0)
|
||
|
|
X = np.random.random((N, N))
|
||
|
|
X[X > 0.7] = 0
|
||
|
|
Xcsr = csr_matrix(X)
|
||
|
|
|
||
|
|
for i in range(N):
|
||
|
|
arr_row = X[i:i + 1, :]
|
||
|
|
csr_row = Xcsr.getrow(i)
|
||
|
|
|
||
|
|
assert_array_almost_equal(arr_row, csr_row.toarray())
|
||
|
|
assert_(type(csr_row) is csr_matrix)
|
||
|
|
|
||
|
|
|
||
|
|
def test_csr_getcol():
|
||
|
|
N = 10
|
||
|
|
np.random.seed(0)
|
||
|
|
X = np.random.random((N, N))
|
||
|
|
X[X > 0.7] = 0
|
||
|
|
Xcsr = csr_matrix(X)
|
||
|
|
|
||
|
|
for i in range(N):
|
||
|
|
arr_col = X[:, i:i + 1]
|
||
|
|
csr_col = Xcsr.getcol(i)
|
||
|
|
|
||
|
|
assert_array_almost_equal(arr_col, csr_col.toarray())
|
||
|
|
assert_(type(csr_col) is csr_matrix)
|
||
|
|
|