






from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class        __snake_case:



 def __init__(	self   :   str ,		UpperCAmelCase__   :   Any	):

    """simple docstring"""






    lowercase__						:	str         = vocab
    lowercase__						:	Tuple         = 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."""	)
    lowercase__						:	Optional[int]         = rjieba



 def 						UpperCAmelCase    (	self   :   int ,		UpperCAmelCase__   :   int ,		UpperCAmelCase__   :   NormalizedString	):

    """simple docstring"""






    lowercase__						:	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:
          lowercase__						:	Optional[Any]         = self.normalizers.normalize_str(UpperCAmelCase__	).split()
          for token in token_list:
             if token:
                lowercase__						:	List[Any]         = start + len(UpperCAmelCase__	)
                splits.append(normalized_string[start:end]	)
                lowercase__						:	Tuple         = 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 						UpperCAmelCase    (	self   :   List[str] ,		UpperCAmelCase__   :   PreTokenizedString	):

    """simple docstring"""






    pretok.split(self.jieba_split	)










import os
import sys
import time

from . import transposition_cipher as trans_cipher
def       a__						(  ):
   lowercase__						:	Union[str, Any]         = """Prehistoric Men.txt"""
   lowercase__						:	Optional[Any]         = """Output.txt"""
   lowercase__						:	List[str]         = int(input("""Enter key: """					)					)
   lowercase__						:	Tuple         = input("""Encrypt/Decrypt [e/d]: """					)

   if not os.path.exists(A					):
      print(F'''File {input_file} does not exist. Quitting...'''					)
      sys.exit()
   if os.path.exists(A					):
      print(F'''Overwrite {output_file}? [y/n]'''					)
      lowercase__						:	List[Any]         = input("""> """					)
      if not response.lower().startswith("""y"""					):
         sys.exit()

   lowercase__						:	str         = time.time()
   if mode.lower().startswith("""e"""					):
      with open(A					) as f:
         lowercase__						:	Optional[int]         = f.read()
      lowercase__						:	List[str]         = trans_cipher.encrypt_message(A		,				A					)
   elif mode.lower().startswith("""d"""					):
      with open(A					) as f:
         lowercase__						:	int         = f.read()
      lowercase__						:	int         = trans_cipher.decrypt_message(A		,				A					)

   with open(A		,				"""w"""					) as output_obj:
      output_obj.write(A					)

   lowercase__						:	Optional[Any]         = round(time.time() - start_time		,				2					)
   print(("""Done (""", total_time, """seconds )""")					)


if __name__ == "__main__":
 main()


