
"""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




"""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'))


