def test_sparse_minimum():
s1 = SparseNDArray(s1_data)
s2 = SparseNDArray(s2_data)
np.testing.assert_array_equal(
s1.minimum(s2).toarray(),
s1.minimum(s2).toarray())
v = SparseVector(v1, shape=(3, ))
np.testing.assert_array_equal(v.minimum(d1), np.minimum(v1_data, d1))
def testSparseMinimum(self):
s1 = SparseNDArray(self.s1)
s2 = SparseNDArray(self.s2)
np.testing.assert_array_equal(
s1.minimum(s2).toarray(),
self.s1.minimum(self.s2).toarray())
v1 = SparseVector(self.v1, shape=(3, ))
np.testing.assert_array_equal(v1.minimum(self.d1),
np.minimum(self.v1_data, self.d1))
def testSparseSetitem(self):
s1 = SparseNDArray(self.s1.copy())
s1[1:2, 1] = [2]
ss1 = self.s1.tolil()
ss1[1:2, 1] = [2]
np.testing.assert_array_equal(s1.toarray(), ss1.toarray())
v1 = SparseVector(self.v1, shape=(3, ))
v1[1:2] = [2]
vv1 = self.v1_data
vv1[1:2] = [2]
np.testing.assert_array_equal(v1.toarray(), vv1)
def test_sparse_setitem():
s1 = SparseNDArray(s1_data.copy())
s1[1:2, 1] = [2]
ss1 = s1_data.tolil()
ss1[1:2, 1] = [2]
np.testing.assert_array_equal(s1.toarray(), ss1.toarray())
v = SparseVector(v1, shape=(3, ))
v[1:2] = [2]
vv1 = v1_data.copy()
vv1[1:2] = [2]
np.testing.assert_array_equal(v.toarray(), vv1)
def testSparseGetitem(self):
s1 = SparseNDArray(self.s1)
v1 = SparseVector(self.v1, shape=(3, ))
self.assertEqual(s1[0, 1], self.s1[0, 1])
self.assertEqual(v1[1], self.v1_data[1])