


from __future__ import annotations

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : List[Any]      ,					SCREAMING_SNAKE_CASE__      : List[str] = None      ,					SCREAMING_SNAKE_CASE__      : Union[str, Any] = None      ,					SCREAMING_SNAKE_CASE__      : List[Any] = False      ,					):
     __UpperCamelCase   							=cipher_alphabet or [chr(SCREAMING_SNAKE_CASE__    ) for i in range(97      ,					1_23    )]

     # If the argument is None or the user provided an empty dictionary
     if not frequencies_dict:
          # Frequencies of letters in the english language (how much they show up)
          __UpperCamelCase   							={
              'a': 0.08497,
              'b': 0.01492,
              'c': 0.02202,
              'd': 0.04253,
              'e': 0.11162,
              'f': 0.02228,
              'g': 0.02015,
              'h': 0.06094,
              'i': 0.07546,
              'j': 0.00153,
              'k': 0.01292,
              'l': 0.04025,
              'm': 0.02406,
              'n': 0.06749,
              'o': 0.07507,
              'p': 0.01929,
              'q': 0.00095,
              'r': 0.07587,
              's': 0.06327,
              't': 0.09356,
              'u': 0.02758,
              'v': 0.00978,
              'w': 0.02560,
              'x': 0.00150,
              'y': 0.01994,
              'z': 0.00077,
          }
     else:
          # Custom frequencies dictionary
          __UpperCamelCase   							=frequencies_dict

     if not case_sensitive:
          __UpperCamelCase   							=ciphertext.lower()

     # Chi squared statistic values
     __UpperCamelCase   							={}

     # cycle through all of the shifts
     for shift in range(len(SCREAMING_SNAKE_CASE__    )    ):
          __UpperCamelCase   							=''

          # decrypt the message with the shift
          for letter in ciphertext:
               try:
                    # Try to index the letter in the alphabet
                    __UpperCamelCase   							=(alphabet_letters.index(letter.lower()    ) - shift) % len(
                        SCREAMING_SNAKE_CASE__    )
                    decrypted_with_shift += (
                        alphabet_letters[new_key].upper()
                        if case_sensitive and letter.isupper()
                        else alphabet_letters[new_key]
                    )
               except ValueError:
                    # Append the character if it isn't in the alphabet
                    decrypted_with_shift += letter

          __UpperCamelCase   							=0.0

          # Loop through each letter in the decoded message with the shift
          for letter in decrypted_with_shift:
               if case_sensitive:
                    __UpperCamelCase   							=letter.lower()
                    if letter in frequencies:
                         # Get the amount of times the letter occurs in the message
                         __UpperCamelCase   							=decrypted_with_shift.lower().count(SCREAMING_SNAKE_CASE__    )

                         # Get the excepcted amount of times the letter should appear based
                         # on letter frequencies
                         __UpperCamelCase   							=frequencies[letter] * occurrences

                         # Complete the chi squared statistic formula
                         __UpperCamelCase   							=((occurrences - expected) ** 2) / expected

                         # Add the margin of error to the total chi squared statistic
                         chi_squared_statistic += chi_letter_value
               else:
                    if letter.lower() in frequencies:
                         # Get the amount of times the letter occurs in the message
                         __UpperCamelCase   							=decrypted_with_shift.count(SCREAMING_SNAKE_CASE__    )

                         # Get the excepcted amount of times the letter should appear based
                         # on letter frequencies
                         __UpperCamelCase   							=frequencies[letter] * occurrences

                         # Complete the chi squared statistic formula
                         __UpperCamelCase   							=((occurrences - expected) ** 2) / expected

                         # Add the margin of error to the total chi squared statistic
                         chi_squared_statistic += chi_letter_value

        # Add the data to the chi_squared_statistic_values dictionary
          __UpperCamelCase   							=(
              chi_squared_statistic,
              decrypted_with_shift,
          )

     # Get the most likely cipher by finding the cipher with the smallest chi squared
     # statistic
     def chi_squared_statistic_values_sorting_key(SCREAMING_SNAKE_CASE__      : str    ) -> tuple[float, str]:
          return chi_squared_statistic_values[key]

     __UpperCamelCase   							=min(
         SCREAMING_SNAKE_CASE__      ,					key=SCREAMING_SNAKE_CASE__      ,					)

     # Get all the data from the most likely cipher (key, decoded message)
     (
         (
         __UpperCamelCase	
     )							,				(
         __UpperCamelCase	
     )							,					
     )   							=chi_squared_statistic_values[most_likely_cipher]

     # Return the data on the most likely shift
     return (
         most_likely_cipher,
         most_likely_cipher_chi_squared_value,
         decoded_most_likely_cipher,
     )










import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


_A			=						logging.get_logger(__name__)






class    UpperCAmelCase__	( A_		):



    """simple docstring"""






    def __init__(      self ,       *A_ ,       **A_   )  ->	None:
         warnings.warn(
             'The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
             ' Please use ImageGPTImageProcessor instead.' ,       A_ ,       )
         super().__init__(*A_ ,       **A_   )





