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