def test_boolean_mask_for_half(self):
exp_mask = np.array([True, True, False, False])
act_mask_0 = get_mask(4, type='half_0')
act_mask_1 = get_mask(4, type='half_1')
self.assertFalse(np.logical_xor(act_mask_0, exp_mask).all())
self.assertFalse(
np.logical_xor(act_mask_1, np.logical_not(exp_mask)).all())
def test_boolean_operator_and_mask_repetitively(self):
mask_set = self.get_set()
b = bool_and(get_mask(MASK_SIZE, type='random'),
get_mask(MASK_SIZE, type='random'))
for i in range(100):
b = bool_and(b, get_mask(MASK_SIZE, type='random'))
if LOGGING:
print(f'After multiple operation we have {b}')
self.assertTrue(True)
def test_random_boolean_operator_and_mask_repetitively(self):
function_set = self.get_functions()
function = random.choice(function_set)
b = function(random.choice(get_mask(MASK_SIZE, type='random')),
get_mask(MASK_SIZE, type='random'))
for i in range(100):
print(b)
function = random.choice(function_set)
if function == bool_not:
b = function(b)
else:
b = function(b, get_mask(MASK_SIZE, type='random'))
if LOGGING:
print(f'After multiple operation we have {b}')
self.assertTrue(True)
def test_get_mask_from_string_using_0011(self):
half_1_mask = get_mask(4, type='half_1')
np.testing.assert_array_equal(half_1_mask,
get_mask_from_string("0011"))
def test_get_mask_from_string_using_1100(self):
half_0_mask = get_mask(4, type='half_0')
np.testing.assert_array_equal(half_0_mask,
get_mask_from_string("1100"))
def test_get_mask_from_string_using_0000(self):
empty_mask = get_mask(4, type='empty')
np.testing.assert_array_equal(empty_mask, get_mask_from_string("0000"))
def test_get_mask_from_string_using_1111(self):
full_mask = get_mask(4, type='full')
np.testing.assert_array_equal(full_mask, get_mask_from_string("1111"))
def get_set():
empty_mask = get_mask(MASK_SIZE, type='empty')
full_mask = get_mask(MASK_SIZE, type='full')
act_mask_0 = get_mask(MASK_SIZE, type='half_0')
act_mask_1 = get_mask(MASK_SIZE, type='half_1')
return [empty_mask, full_mask, act_mask_0, act_mask_1]
def test_operator_or__on_boolean_mask(self):
empty_mask = get_mask(MASK_SIZE, type='empty')
full_mask = get_mask(MASK_SIZE, type='full')
np.testing.assert_array_equal(full_mask,
np.logical_or(empty_mask, full_mask))
def test_boolean_mask_is_all_true(self):
self.assertTrue(get_mask(MASK_SIZE, type='full').all())
def test_boolean_mask_random(self):
mask = get_mask(MASK_SIZE, type='random')
print(f'A random mask is {mask}\n')
self.assertTrue(True)
def test_boolean_mask_is_all_false(self):
self.assertFalse(get_mask(MASK_SIZE, type='empty').any())
def test_mask_to_string_from_0011(self):
half_1_mask = get_mask(4, type='half_1')
self.assertEqual("0011", mask_to_string(half_1_mask))
def test_mask_to_string_from_1100(self):
half_0_mask = get_mask(4, type='half_0')
self.assertEqual("1100", mask_to_string(half_0_mask))
def test_mask_to_string_from_0000(self):
empty_mask = get_mask(4, type='empty')
self.assertEqual("0000", mask_to_string(empty_mask))
def test_mask_to_string_from_1111(self):
full_mask = get_mask(4, type='full')
self.assertEqual("1111", mask_to_string(full_mask))
