code: 
  
  
  
  
  
  '''simple docstring'''
  
  lowercase_			       =				{
      """A""": ("""ABCDEFGHIJKLM""", """NOPQRSTUVWXYZ"""),
      """B""": ("""ABCDEFGHIJKLM""", """NOPQRSTUVWXYZ"""),
      """C""": ("""ABCDEFGHIJKLM""", """ZNOPQRSTUVWXY"""),
      """D""": ("""ABCDEFGHIJKLM""", """ZNOPQRSTUVWXY"""),
      """E""": ("""ABCDEFGHIJKLM""", """YZNOPQRSTUVWX"""),
      """F""": ("""ABCDEFGHIJKLM""", """YZNOPQRSTUVWX"""),
      """G""": ("""ABCDEFGHIJKLM""", """XYZNOPQRSTUVW"""),
      """H""": ("""ABCDEFGHIJKLM""", """XYZNOPQRSTUVW"""),
      """I""": ("""ABCDEFGHIJKLM""", """WXYZNOPQRSTUV"""),
      """J""": ("""ABCDEFGHIJKLM""", """WXYZNOPQRSTUV"""),
      """K""": ("""ABCDEFGHIJKLM""", """VWXYZNOPQRSTU"""),
      """L""": ("""ABCDEFGHIJKLM""", """VWXYZNOPQRSTU"""),
      """M""": ("""ABCDEFGHIJKLM""", """UVWXYZNOPQRST"""),
      """N""": ("""ABCDEFGHIJKLM""", """UVWXYZNOPQRST"""),
      """O""": ("""ABCDEFGHIJKLM""", """TUVWXYZNOPQRS"""),
      """P""": ("""ABCDEFGHIJKLM""", """TUVWXYZNOPQRS"""),
      """Q""": ("""ABCDEFGHIJKLM""", """STUVWXYZNOPQR"""),
      """R""": ("""ABCDEFGHIJKLM""", """STUVWXYZNOPQR"""),
      """S""": ("""ABCDEFGHIJKLM""", """RSTUVWXYZNOPQ"""),
      """T""": ("""ABCDEFGHIJKLM""", """RSTUVWXYZNOPQ"""),
      """U""": ("""ABCDEFGHIJKLM""", """QRSTUVWXYZNOP"""),
      """V""": ("""ABCDEFGHIJKLM""", """QRSTUVWXYZNOP"""),
      """W""": ("""ABCDEFGHIJKLM""", """PQRSTUVWXYZNO"""),
      """X""": ("""ABCDEFGHIJKLM""", """PQRSTUVWXYZNO"""),
      """Y""": ("""ABCDEFGHIJKLM""", """OPQRSTUVWXYZN"""),
      """Z""": ("""ABCDEFGHIJKLM""", """OPQRSTUVWXYZN"""),
  }
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					str					)		->list[tuple[str, str]]:
      return [alphabet[char] for char in key.upper()]
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					str      , __lowerCamelCase				:					str					)		->str:
      _SCREAMING_SNAKE_CASE             =    """"""
      _SCREAMING_SNAKE_CASE             =    0
      _SCREAMING_SNAKE_CASE             =    generate_table(__lowerCamelCase					)
      for char in words.upper():
          cipher += get_opponent(table[count]      , __lowerCamelCase					)
          _SCREAMING_SNAKE_CASE             =    (count + 1) % len(__lowerCamelCase					)
      return cipher
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					str      , __lowerCamelCase				:					str					)		->str:
      return encrypt(__lowerCamelCase      , __lowerCamelCase					)
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					tuple[str, str]      , __lowerCamelCase				:					str					)		->tuple[int, int]:
      _SCREAMING_SNAKE_CASE             =    0 if char in table[0] else 1
      _SCREAMING_SNAKE_CASE             =    table[row].index(__lowerCamelCase					)
      return row, col
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					tuple[str, str]      , __lowerCamelCase				:					str					)		->str:
      _SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE             =    get_position(__lowerCamelCase      , char.upper()					)
      if row == 1:
          return table[0][col]
      else:
          return table[1][col] if row == 0 else char
  
  
  if __name__ == "__main__":
        import doctest
  
        doctest.testmod()  # Fist ensure that all our tests are passing...
        lowercase_			       =				input("""Enter key: """).strip()
        lowercase_			       =				input("""Enter text to encrypt: """).strip()
        lowercase_			       =				encrypt(key, text)
  
        print(f"""Encrypted: {cipher_text}""")
        print(f"""Decrypted with key: {decrypt(key, cipher_text)}""")
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  import json
  import os
  import tempfile
  import unittest
  
  from transformers.modelcard import ModelCard
  
  
  class       a_  (       unittest.TestCase ):
  
      '''simple docstring'''
  
  
      def     snake_case_(	self )	->     int:
          _SCREAMING_SNAKE_CASE             =    {
              """model_details""": {
                  """Organization""": """testing""",
                  """Model date""": """today""",
                  """Model version""": """v2.1, Developed by Test Corp in 2019.""",
                  """Architecture""": """Convolutional Neural Network.""",
              },
              """metrics""": """BLEU and ROUGE-1""",
              """evaluation_data""": {
                  """Datasets""": {"""BLEU""": """My-great-dataset-v1""", """ROUGE-1""": """My-short-dataset-v2.1"""},
                  """Preprocessing""": """See details on https://arxiv.org/pdf/1810.03993.pdf""",
              },
              """training_data""": {
                  """Dataset""": """English Wikipedia dump dated 2018-12-01""",
                  """Preprocessing""": (
                      """Using SentencePiece vocabulary of size 52k tokens. See details on"""
                      """ https://arxiv.org/pdf/1810.03993.pdf"""
                  ),
              },
              """quantitative_analyses""": {"""BLEU""": 55.1, """ROUGE-1""": 76},
          }
  
  
      def     snake_case_(	self )	->     Tuple:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
          self.assertTrue(hasattr(A				,	"""model_details""" ) )
          self.assertTrue(hasattr(A				,	"""intended_use""" ) )
          self.assertTrue(hasattr(A				,	"""factors""" ) )
          self.assertTrue(hasattr(A				,	"""metrics""" ) )
          self.assertTrue(hasattr(A				,	"""evaluation_data""" ) )
          self.assertTrue(hasattr(A				,	"""training_data""" ) )
          self.assertTrue(hasattr(A				,	"""quantitative_analyses""" ) )
          self.assertTrue(hasattr(A				,	"""ethical_considerations""" ) )
          self.assertTrue(hasattr(A				,	"""caveats_and_recommendations""" ) )
  
  
      def     snake_case_(	self )	->     List[str]:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
          _SCREAMING_SNAKE_CASE             =    json.loads(modelcard.to_json_string() )
          for key, value in self.inputs_dict.items():
              self.assertEqual(obj[key]				,	A )
  
  
      def     snake_case_(	self )	->     Any:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
  
          with tempfile.TemporaryDirectory() as tmpdirname:
              _SCREAMING_SNAKE_CASE             =    os.path.join(A				,	"""modelcard.json""" )
              model_card_first.to_json_file(A )
              _SCREAMING_SNAKE_CASE             =    ModelCard.from_json_file(A )
  
          self.assertEqual(model_card_second.to_dict()				,	model_card_first.to_dict() )
  
  
  
  
  
      def     snake_case_(	self )	->     List[Any]:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
  
          with tempfile.TemporaryDirectory() as tmpdirname:
              model_card_first.save_pretrained(A )
              _SCREAMING_SNAKE_CASE             =    ModelCard.from_pretrained(A )
  
          self.assertEqual(model_card_second.to_dict()				,	model_card_first.to_dict() )
  
  
  
  