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))