
'''simple docstring'''







def 				_snake_case (		lowercase			,    lowercase			,    lowercase			,    lowercase			,    lowercase			,    lowercase			,    )       ->       tuple[list[list[int]], list[list[str]]]:
				__a       :     Optional[int]								=	list(lowercase						)
				__a       :     Optional[Any]								=	list(lowercase						)
				__a       :     Union[str, Any]								=	len(lowercase						)
				__a       :     Any								=	len(lowercase						)

				__a       :     Optional[int]								=	[
				    [0 for _ in range(len_destination_seq + 1						)] for _ in range(len_source_seq + 1						)
				]
				__a       :     Optional[Any]								=	[
				    ["""0""" for _ in range(len_destination_seq + 1						)] for _ in range(len_source_seq + 1						)
				]

				for i in range(1			,    len_source_seq + 1						):
								__a       :     Union[str, Any]								=	i * delete_cost
								__a       :     int								=	F"""D{source_seq[i - 1]:c}"""

				for i in range(1			,    len_destination_seq + 1						):
								__a       :     Union[str, Any]								=	i * insert_cost
								__a       :     Optional[int]								=	F"""I{destination_seq[i - 1]:c}"""

				for i in range(1			,    len_source_seq + 1						):
								for j in range(1			,    len_destination_seq + 1						):
												if source_seq[i - 1] == destination_seq[j - 1]:
																__a       :     Tuple								=	costs[i - 1][j - 1] + copy_cost
																__a       :     Optional[int]								=	F"""C{source_seq[i - 1]:c}"""
												else:
																__a       :     Dict								=	costs[i - 1][j - 1] + replace_cost
																__a       :     Any								=	F"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]						)

												if costs[i - 1][j] + delete_cost < costs[i][j]:
																__a       :     Tuple								=	costs[i - 1][j] + delete_cost
																__a       :     Union[str, Any]								=	F"""D{source_seq[i - 1]:c}"""

												if costs[i][j - 1] + insert_cost < costs[i][j]:
																__a       :     int								=	costs[i][j - 1] + insert_cost
																__a       :     Tuple								=	F"""I{destination_seq[j - 1]:c}"""

				return costs, ops

def 				_snake_case (		lowercase			,    lowercase			,    lowercase						)       ->       list[str]:
				if i == 0 and j == 0:
								return []
				else:
								if ops[i][j][0] == "C" or ops[i][j][0] == "R":
												__a       :     str								=	assemble_transformation(lowercase			,    i - 1			,    j - 1						)
												seq.append(ops[i][j]						)
												return seq
								elif ops[i][j][0] == "D":
												__a       :     Optional[Any]								=	assemble_transformation(lowercase			,    i - 1			,    lowercase						)
												seq.append(ops[i][j]						)
												return seq
								else:
												__a       :     List[str]								=	assemble_transformation(lowercase			,    lowercase			,    j - 1						)
												seq.append(ops[i][j]						)
												return seq


if __name__ == "__main__":
					__SCREAMING_SNAKE_CASE   ,       __SCREAMING_SNAKE_CASE		:  str        =      compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

					__SCREAMING_SNAKE_CASE		:  Optional[Any]        =      len(operations)
					__SCREAMING_SNAKE_CASE		:  Tuple        =      len(operations[0])
					__SCREAMING_SNAKE_CASE		:  Tuple        =      assemble_transformation(operations, m - 1, n - 1)

					__SCREAMING_SNAKE_CASE		:  Dict        =      list('Python')
					__SCREAMING_SNAKE_CASE		:  List[Any]        =      0
					__SCREAMING_SNAKE_CASE		:  int        =      0

					with open('min_cost.txt', 'w') as file:
										for op in sequence:
															print(''.join(string))

															if op[0] == "C":
																				file.write('%-16s' % 'Copy %c' % op[1])
																				file.write('\t\t\t' + ''.join(string))
																				file.write('\r\n')

																				cost -= 1
															elif op[0] == "R":
																				__SCREAMING_SNAKE_CASE		:  int        =      op[2]

																				file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
																				file.write('\t\t' + ''.join(string))
																				file.write('\r\n')

																				cost += 1
															elif op[0] == "D":
																				string.pop(i)

																				file.write('%-16s' % 'Delete %c' % op[1])
																				file.write('\t\t\t' + ''.join(string))
																				file.write('\r\n')

																				cost += 2
															else:
																				string.insert(i, op[1])

																				file.write('%-16s' % 'Insert %c' % op[1])
																				file.write('\t\t\t' + ''.join(string))
																				file.write('\r\n')

																				cost += 2

															i += 1

										print(''.join(string))
										print('Cost: ', cost)

										file.write('\r\nMinimum cost: ' + str(cost))

'''simple docstring'''







from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class  SCREAMING_SNAKE_CASE__       :
	def __init__(				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	vocab
					__a       :     int								=	normalizers.BertNormalizer(
					    clean_text=__UpperCamelCase  ,    handle_chinese_chars=__UpperCamelCase  ,    strip_accents=__UpperCamelCase  ,    lowercase=__UpperCamelCase  ,    )
					try:
									import rjieba
					except ImportError:
									raise ImportError(
									    """You need to install rjieba to use RoFormerTokenizer. """
									    """See https://pypi.org/project/rjieba/ for installation."""			)
					__a       :     Optional[Any]								=	rjieba
	def __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	[]

					# this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
					for token, start, end in self.jieba.tokenize(str(__UpperCamelCase			)  ,    hmm=__UpperCamelCase			):
									if token in self.vocab:
													splits.append(normalized_string[start:end]			)
									else:
													__a       :     str								=	self.normalizers.normalize_str(__UpperCamelCase			).split()
													for token in token_list:
																	if token:
																					__a       :     str								=	start + len(__UpperCamelCase			)
																					splits.append(normalized_string[start:end]			)
																					__a       :     Union[str, Any]								=	end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

					return splits

	def __lowerCamelCase    (				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					pretok.split(self.jieba_split			)