


'''simple docstring'''






def 				UpperCamelCase_			(    A__					:   Tuple							,    A__					:   Union[str, Any]					):
  '''simple docstring'''





  lowerCAmelCase_			:      Any			=   """"""
  for i in table:
    res += inp[i - 1]
  return res







def 				UpperCamelCase_			(    A__					:   Optional[Any]					):
  '''simple docstring'''





  return data[1:] + data[0]







def 				UpperCamelCase_			(    A__					:   Tuple							,    A__					:   Union[str, Any]					):
  '''simple docstring'''





  lowerCAmelCase_			:      Union[str, Any]			=   """"""
  for i in range(len(A__					)					):
    if a[i] == b[i]:
      res += "0"
    else:
      res += "1"
  return res







def 				UpperCamelCase_			(    A__					:   Tuple							,    A__					:   int					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   int("""0b""" + data[0] + data[-1]							,    2					)
  lowerCAmelCase_			:      Dict			=   int("""0b""" + data[1:3]							,    2					)
  return bin(s[row][col]					)[2:]







def 				UpperCamelCase_			(    A__					:   Any							,    A__					:   List[str]							,    A__					:   List[str]							,    A__					:   Tuple							,    A__					:   Tuple					):
  '''simple docstring'''





  lowerCAmelCase_			:      Dict			=   message[:4]
  lowerCAmelCase_			:      str			=   message[4:]
  lowerCAmelCase_			:      Optional[int]			=   apply_table(A__							,    A__					)
  lowerCAmelCase_			:      Any			=   xor(A__							,    A__					)
  lowerCAmelCase_			:      List[Any]			=   apply_sbox(A__							,    temp[:4]					)  # noqa: E741
  lowerCAmelCase_			:      int			=   apply_sbox(A__							,    temp[4:]					)
  lowerCAmelCase_			:      Tuple			=   """0""" * (2 - len(A__					)) + l  # noqa: E741
  lowerCAmelCase_			:      Optional[int]			=   """0""" * (2 - len(A__					)) + r
  lowerCAmelCase_			:      Tuple			=   apply_table(l + r							,    A__					)
  lowerCAmelCase_			:      Dict			=   xor(A__							,    A__					)
  return temp + right


if __name__ == "__main__":
  __A					:  List[Any]											=      input("Enter 10 bit key: ")
  __A					:  Tuple											=      input("Enter 8 bit message: ")

  __A					:  List[Any]											=      [6, 3, 7, 4, 8, 5, 10, 9]
  __A					:  int											=      [3, 5, 2, 7, 4, 10, 1, 9, 8, 6]
  __A					:  Dict											=      [2, 4, 3, 1]
  __A					:  str											=      [2, 6, 3, 1, 4, 8, 5, 7]
  __A					:  Union[str, Any]											=      [4, 1, 3, 5, 7, 2, 8, 6]
  __A					:  Any											=      [4, 1, 2, 3, 2, 3, 4, 1]
  __A					:  Any											=      [[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
  __A					:  Any											=      [[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

  # key generation
  __A					:  int											=      apply_table(key, paa_table)
  __A					:  Optional[int]											=      temp[:5]
  __A					:  Tuple											=      temp[5:]
  __A					:  str											=      left_shift(left)
  __A					:  Any											=      left_shift(right)
  __A					:  Any											=      apply_table(left + right, pa_table)
  __A					:  str											=      left_shift(left)
  __A					:  List[str]											=      left_shift(right)
  __A					:  Optional[Any]											=      left_shift(left)
  __A					:  Optional[Any]											=      left_shift(right)
  __A					:  int											=      apply_table(left + right, pa_table)

  # encryption
  __A					:  int											=      apply_table(message, IP)
  __A					:  Optional[Any]											=      function(expansion, sa, sa, keya, temp)
  __A					:  List[str]											=      temp[4:] + temp[:4]
  __A					:  Dict											=      function(expansion, sa, sa, keya, temp)
  __A					:  List[str]											=      apply_table(temp, IP_inv)
  print("Cipher text is:", CT)

  # decryption
  __A					:  Optional[int]											=      apply_table(CT, IP)
  __A					:  Optional[Any]											=      function(expansion, sa, sa, keya, temp)
  __A					:  Dict											=      temp[4:] + temp[:4]
  __A					:  Optional[int]											=      function(expansion, sa, sa, keya, temp)
  __A					:  Any											=      apply_table(temp, IP_inv)
  print("Plain text after decypting is:", PT)







'''simple docstring'''






import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class    __snake_case       (   _SCREAMING_SNAKE_CASE	,unittest.TestCase):







    """simple docstring"""



    lowercase    =					BioGptTokenizer
    lowercase    =					False

    def __lowercase   (   self    :  List[Any]		)   ->  List[str]:
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCAmelCase_			:      Optional[Any]			=   [
          """l""",
          """o""",
          """w""",
          """e""",
          """r""",
          """s""",
          """t""",
          """i""",
          """d""",
          """n""",
          """w</w>""",
          """r</w>""",
          """t</w>""",
          """lo""",
          """low""",
          """er</w>""",
          """low</w>""",
          """lowest</w>""",
          """newer</w>""",
          """wider</w>""",
          """<unk>""",
      ]
      lowerCAmelCase_			:      int			=   dict(zip(lowerCamelCase    ,						range(len(lowerCamelCase		)		)		)		)
      lowerCAmelCase_			:      int			=   ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

      lowerCAmelCase_			:      Optional[int]			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""vocab_file"""]		)
      lowerCAmelCase_			:      Union[str, Any]			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""merges_file"""]		)
      with open(self.vocab_file    ,						"""w"""		) as fp:
        fp.write(json.dumps(lowerCamelCase		)		)
      with open(self.merges_file    ,						"""w"""		) as fp:
        fp.write("""\n""".join(lowerCamelCase		)		)

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  Any		)   ->  List[str]:
      lowerCAmelCase_			:      Dict			=   """lower newer"""
      lowerCAmelCase_			:      str			=   """lower newer"""
      return input_text, output_text

    def __lowercase   (   self    :  Optional[int]		)   ->  str:
      lowerCAmelCase_			:      Any			=   BioGptTokenizer(self.vocab_file    ,						self.merges_file		)

      lowerCAmelCase_			:      int			=   """lower"""
      lowerCAmelCase_			:      str			=   ["""low""", """er</w>"""]
      lowerCAmelCase_			:      Any			=   tokenizer.tokenize(lowerCamelCase		)
      self.assertListEqual(lowerCamelCase    ,						lowerCamelCase		)

      lowerCAmelCase_			:      Dict			=   tokens + ["""<unk>"""]
      lowerCAmelCase_			:      Optional[Any]			=   [14, 15, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase		)    ,						lowerCamelCase		)





    @slow
    def __lowercase   (   self    :  str		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Dict			=   BioGptTokenizer.from_pretrained("""microsoft/biogpt"""		)

      lowerCAmelCase_			:      int			=   tokenizer.encode("""sequence builders"""    ,						add_special_tokens=lowerCamelCase		)
      lowerCAmelCase_			:      Optional[Any]			=   tokenizer.encode("""multi-sequence build"""    ,						add_special_tokens=lowerCamelCase		)

      lowerCAmelCase_			:      str			=   tokenizer.build_inputs_with_special_tokens(lowerCamelCase		)
      lowerCAmelCase_			:      Optional[int]			=   tokenizer.build_inputs_with_special_tokens(lowerCamelCase    ,						lowerCamelCase		)

      self.assertTrue(encoded_sentence == [2] + text		)
      self.assertTrue(encoded_pair == [2] + text + [2] + text_a		)



