def test_negate_with_zero(self):
vec = SparseVector.zero(4)
expected = SparseVector.zero(4)
result = -vec
self.assertEqual(result, expected)
def test_add_with_zero_vector(self):
a = SparseVector.from_list([1, 0, 2, 0, 3, 0, 4, 5])
b = SparseVector.zero(8)
expected = SparseVector.zero(8)
result = a + b
self.assertEqual(expected, result)
def test_venn_with_zero(self):
a = SparseVector.from_list([1, 0, 2, 0, 3, 4, 0, 5])
b = SparseVector.zero(8)
expected0 = SparseVector.zero(8)
expected1 = SparseVector.from_list([1, 0, 2, 0, 3, 4, 0, 5])
result0, result1 = a.venn(b)
self.assertEqual(result0, expected0)
self.assertEqual(result1, expected1)
def test_value_at_when_value_is_zero(self):
vec = SparseVector.zero(7)
expected = [0] * 7
result = [vec.value_at(i) for i in range(vec.size)]
self.assertEqual(result, expected)
def test_to_dense_with_zero(self):
vec = SparseVector.zero(7)
expected = np.zeros(7, dtype=np.uint16)
result = vec.to_dense()
self.assertTrue(np.array_equal(result, expected))
def test_sum_with_zero(self):
vec = SparseVector.zero(7)
expected = 0
result = vec.sum()
self.assertEqual(result, expected)
def test_multiply_with_zero_scalar(self):
vec = SparseVector.from_list([1, 0, 2, 0, 3, 0, 4, 5])
scalar = 0
expected = SparseVector.zero(8)
result = vec * scalar
self.assertEqual(result, expected)
def test_compact_with_zero(self):
vec = SparseVector(np.zeros(10, dtype=np.uint16),
np.arange(10, dtype=np.uint32), 10)
vec.compact()
expected = SparseVector.zero(10)
result = copy(vec)
self.assertEqual(result, expected)