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"""test sparse matrix construction functions"""
from numpy.testing import assert_equal
from scipy.sparse import csr_matrix
import numpy as np
from scipy.sparse import _extract
class TestExtract:
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))