def test_to_dense_with_zero(self):
mat = SparseMatrix.zero((5, 5), dtype=np.uint16)
expected = np.zeros((5, 5), dtype=np.uint16)
result = mat.to_dense()
self.assertTrue(np.array_equal(result, expected))
def test_from_list_with_no_unique_elements(self):
mat = SparseMatrix.from_list([[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0],
[0, 0, 0, 0]])
self.assertEqual(len(mat), 0)
self.assertEqual(mat, SparseMatrix.zero((4, 4)))
self.assertTrue(np.array_equal(mat.cols, np.array([])))
self.assertTrue(np.array_equal(mat.data, np.array([])))
self.assertTrue(np.array_equal(mat.rows, np.array([])))