code: 
  """simple docstring"""
  
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  _a	 =							logging.get_logger(__name__)
  
  _a	 =							{
      'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json'
      # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
  }
  
  
  class A_			(lowercase__   ):
  
  
  
  
    '''simple docstring'''
    SCREAMING_SNAKE_CASE__    :		Optional[Any]						  =	'''cpmant'''
  
  
  
  
  
  
  
    def __init__(	self       ,     lowercase_ = 3_0720       ,     lowercase_ = 4096       ,     lowercase_ = 32       ,     lowercase_ = 128       ,     lowercase_ = 1_0240       ,     lowercase_ = 48       ,     lowercase_ = 0.0       ,     lowercase_ = 512       ,     lowercase_ = 2048       ,     lowercase_ = 1E-6       ,     lowercase_ = 1.0       ,     lowercase_ = 32       ,     lowercase_ = 32       ,     lowercase_ = 32       ,     lowercase_ = True       ,     **lowercase_       ,     ):
  
       """simple docstring"""
       super().__init__(**a_						)
       UpperCAmelCase_      :      Optional[Any]      =					prompt_types
       UpperCAmelCase_      :      Union[str, Any]      =					prompt_length
       UpperCAmelCase_      :      Any      =					segment_types
       UpperCAmelCase_      :      List[Any]      =					hidden_size
       UpperCAmelCase_      :      str      =					num_attention_heads
       UpperCAmelCase_      :      int      =					dim_head
       UpperCAmelCase_      :      List[Any]      =					dim_ff
       UpperCAmelCase_      :      List[str]      =					num_hidden_layers
       UpperCAmelCase_      :      Dict      =					position_bias_num_buckets
       UpperCAmelCase_      :      str      =					position_bias_max_distance
       UpperCAmelCase_      :      List[str]      =					dropout_p
       UpperCAmelCase_      :      Dict      =					eps
       UpperCAmelCase_      :      List[Any]      =					use_cache
       UpperCAmelCase_      :      Tuple      =					vocab_size
       UpperCAmelCase_      :      Optional[Any]      =					init_std
  
  
  
style_context: 
  """simple docstring"""
  
  
  
  
  
  from string import ascii_uppercase
  
  
  
  
  
  
  
  def 			__a  (	__lowerCamelCase,	__lowerCamelCase,	__lowerCamelCase = False,	__lowerCamelCase = ascii_uppercase						):
     UpperCAmelCase_      :      List[str]      =					keyword.upper()
     UpperCAmelCase_      :      str      =					plaintext.upper()
     UpperCAmelCase_      :      Tuple      =					set(__lowerCamelCase						)
  
     # create a list of unique characters in the keyword - their order matters
     # it determines how we will map plaintext characters to the ciphertext
     UpperCAmelCase_      :      Tuple      =					[]
     for char in keyword:
        if char in alphabet_set and char not in unique_chars:
           unique_chars.append(__lowerCamelCase						)
      # the number of those unique characters will determine the number of rows
     UpperCAmelCase_      :      Union[str, Any]      =					len(__lowerCamelCase						)
  
     # create a shifted version of the alphabet
     UpperCAmelCase_      :      Tuple      =					unique_chars + [
         char for char in alphabet if char not in unique_chars
     ]
  
     # create a modified alphabet by splitting the shifted alphabet into rows
     UpperCAmelCase_      :      List[str]      =					[
         shifted_alphabet[k : k + num_unique_chars_in_keyword]
         for k in range(0,	26,	__lowerCamelCase						)
     ]
  
     # map the alphabet characters to the modified alphabet characters
     # going 'vertically' through the modified alphabet - consider columns first
     UpperCAmelCase_      :      Tuple      =					{}
     UpperCAmelCase_      :      Dict      =					0
     for column in range(__lowerCamelCase						):
        for row in modified_alphabet:
           # if current row (the last one) is too short, break out of loop
           if len(__lowerCamelCase						) <= column:
              break
  
           # map current letter to letter in modified alphabet
           UpperCAmelCase_      :      Tuple      =					row[column]
           letter_index += 1
  
     if verbose:
        print(__lowerCamelCase						)
     # create the encrypted text by mapping the plaintext to the modified alphabet
     return "".join(mapping[char] if char in mapping else char for char in plaintext						)
  
  
  if __name__ == "__main__":
      # example use
      print(mixed_keyword('college', 'UNIVERSITY'))
  
  
  