def test_matrix_creation_none_params(self):
"""
None parameters
"""
# arrange
num_rows = None
num_columns = None
expected_res = []
# act
actual_res = main.generate_edit_matrix(num_rows, num_columns)
# assert
self.assertListEqual(expected_res, actual_res)
def test_matrix_creation_wrong_params(self):
"""
Wrong type parameters
"""
# arrange
num_rows = 'a'
num_columns = []
expected_res = []
# act
actual_res = main.generate_edit_matrix(num_rows, num_columns)
# assert
self.assertListEqual(expected_res, actual_res)
def test_matrix_creation_empty(self):
"""
Empty matrix
"""
# arrange
num_rows = 0
num_columns = 0
expected_res = []
# act
actual_res = main.generate_edit_matrix(num_rows, num_columns)
# assert
self.assertListEqual(expected_res, actual_res)
def test_find_pathl_again(self):
"""
Ideal scenario # 2
"""
original_word = 'cat'
target_word = 'doge'
add_weight = 1
remove_weight = 2
substitute_weight = 3
edit_matrix = tuple(main.generate_edit_matrix(len(original_word) + 1, len(target_word) + 1))
edit_matrix = tuple(main.initialize_edit_matrix(edit_matrix, add_weight, remove_weight))
edit_matrix = main.fill_edit_matrix(edit_matrix, add_weight, remove_weight, substitute_weight, original_word, target_word)
print("best path cost " + str(edit_matrix[len(original_word)][len(target_word)]))
main.print_path(edit_matrix, original_word, target_word, add_weight, remove_weight, substitute_weight)
def test_matrix_creation_ideal(self):
"""
Ideal scenario
"""
# arrange
num_rows = 5
num_columns = 6
expected_res = [[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0]]
# act
actual_res = main.generate_edit_matrix(num_rows, num_columns)
# assert
self.assertListEqual(expected_res, actual_res)