52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
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"""test sparse matrix construction functions"""
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from numpy.testing import assert_equal
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from scipy.sparse import csr_matrix, csr_array, sparray
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import numpy as np
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from scipy.sparse import _extract
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class TestExtract:
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def setup_method(self):
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self.cases = [
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csr_array([[1,2]]),
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csr_array([[1,0]]),
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csr_array([[0,0]]),
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csr_array([[1],[2]]),
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csr_array([[1],[0]]),
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csr_array([[0],[0]]),
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csr_array([[1,2],[3,4]]),
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csr_array([[0,1],[0,0]]),
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csr_array([[0,0],[1,0]]),
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csr_array([[0,0],[0,0]]),
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csr_array([[1,2,0,0,3],[4,5,0,6,7],[0,0,8,9,0]]),
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csr_array([[1,2,0,0,3],[4,5,0,6,7],[0,0,8,9,0]]).T,
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]
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def test_find(self):
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for A in self.cases:
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I,J,V = _extract.find(A)
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B = csr_array((V,(I,J)), shape=A.shape)
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assert_equal(A.toarray(), B.toarray())
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def test_tril(self):
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for A in self.cases:
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B = A.toarray()
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for k in [-3,-2,-1,0,1,2,3]:
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assert_equal(_extract.tril(A,k=k).toarray(), np.tril(B,k=k))
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def test_triu(self):
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for A in self.cases:
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B = A.toarray()
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for k in [-3,-2,-1,0,1,2,3]:
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assert_equal(_extract.triu(A,k=k).toarray(), np.triu(B,k=k))
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def test_array_vs_matrix(self):
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for A in self.cases:
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assert isinstance(_extract.tril(A), sparray)
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assert isinstance(_extract.triu(A), sparray)
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M = csr_matrix(A)
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assert not isinstance(_extract.tril(M), sparray)
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assert not isinstance(_extract.triu(M), sparray)
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