

"""simple docstring"""

from __future__ import annotations



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__ = None					,					lowercase__ = None					,					lowercase__ = False					,					)			->						tuple[int, float, str]:
 lowerCAmelCase__   :				List[Any] 			=				cipher_alphabet or [chr(lowercase__   ) for i in range(9_7					,					1_2_3   )]

 # 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)
  lowerCAmelCase__   :				Any 			=				{
      "a": 0.08_497,
      "b": 0.01_492,
      "c": 0.02_202,
      "d": 0.04_253,
      "e": 0.11_162,
      "f": 0.02_228,
      "g": 0.02_015,
      "h": 0.06_094,
      "i": 0.07_546,
      "j": 0.00_153,
      "k": 0.01_292,
      "l": 0.04_025,
      "m": 0.02_406,
      "n": 0.06_749,
      "o": 0.07_507,
      "p": 0.01_929,
      "q": 0.00_095,
      "r": 0.07_587,
      "s": 0.06_327,
      "t": 0.09_356,
      "u": 0.02_758,
      "v": 0.00_978,
      "w": 0.02_560,
      "x": 0.00_150,
      "y": 0.01_994,
      "z": 0.00_077,
  }
 else:
  # Custom frequencies dictionary
  lowerCAmelCase__   :				Any 			=				frequencies_dict

 if not case_sensitive:
  lowerCAmelCase__   :				int 			=				ciphertext.lower()

 # Chi squared statistic values
 lowerCAmelCase__   :				dict[int, tuple[float, str]] 			=				{}

 # cycle through all of the shifts
 for shift in range(len(lowercase__   )   ):
  lowerCAmelCase__   :				str 			=				""

  # decrypt the message with the shift
  for letter in ciphertext:
   try:
    # Try to index the letter in the alphabet
    lowerCAmelCase__   :				Union[str, Any] 			=				(alphabet_letters.index(letter.lower()   ) - shift) % len(
        lowercase__   )
    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

  lowerCAmelCase__   :				Any 			=				0.0

  # Loop through each letter in the decoded message with the shift
  for letter in decrypted_with_shift:
   if case_sensitive:
    lowerCAmelCase__   :				Optional[Any] 			=				letter.lower()
    if letter in frequencies:
     # Get the amount of times the letter occurs in the message
     lowerCAmelCase__   :				List[Any] 			=				decrypted_with_shift.lower().count(lowercase__   )

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

     # Complete the chi squared statistic formula
     lowerCAmelCase__   :				Any 			=				((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
     lowerCAmelCase__   :				Union[str, Any] 			=				decrypted_with_shift.count(lowercase__   )

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

     # Complete the chi squared statistic formula
     lowerCAmelCase__   :				Union[str, Any] 			=				((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
  lowerCAmelCase__   :				Optional[int] 			=				(
      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(lowercase__   ) -> tuple[float, str]:
  return chi_squared_statistic_values[key]

 lowerCAmelCase__   :				int 			=				min(
     lowercase__					,					key=lowercase__					,					)

 # Get all the data from the most likely cipher (key, decoded message)
 (
     (
     lowerCAmelCase__
 )			,						(
     lowerCAmelCase__
 )			,						
 )   :				int 			=				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,
 )









"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCamelCase		     =    logging.get_logger(__name__)

_UpperCamelCase		     =    {
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}






class 			__a					(						__magic_name__       ):





       """simple docstring"""


       __UpperCamelCase					:      str    =						'dpr'






       def __init__(   self			,					snake_case=30_522			,					snake_case=768			,					snake_case=12			,					snake_case=12			,					snake_case=3_072			,					snake_case="gelu"			,					snake_case=0.1			,					snake_case=0.1			,					snake_case=512			,					snake_case=2			,					snake_case=0.02			,					snake_case=1e-12			,					snake_case=0			,					snake_case="absolute"			,					snake_case = 0			,					**snake_case			,					):





        """simple docstring"""

        super().__init__(pad_token_id=snake_case			,					**snake_case   )

        lowerCAmelCase__   :				Dict 			=				vocab_size
        lowerCAmelCase__   :				int 			=				hidden_size
        lowerCAmelCase__   :				List[str] 			=				num_hidden_layers
        lowerCAmelCase__   :				List[Any] 			=				num_attention_heads
        lowerCAmelCase__   :				Any 			=				hidden_act
        lowerCAmelCase__   :				Any 			=				intermediate_size
        lowerCAmelCase__   :				str 			=				hidden_dropout_prob
        lowerCAmelCase__   :				List[str] 			=				attention_probs_dropout_prob
        lowerCAmelCase__   :				List[Any] 			=				max_position_embeddings
        lowerCAmelCase__   :				Optional[Any] 			=				type_vocab_size
        lowerCAmelCase__   :				Tuple 			=				initializer_range
        lowerCAmelCase__   :				Dict 			=				layer_norm_eps
        lowerCAmelCase__   :				Dict 			=				projection_dim
        lowerCAmelCase__   :				Any 			=				position_embedding_type






