



from __future__ import annotations






def  UpperCAmelCase__    (    lowercase__						,       lowercase__ = None						,       lowercase__ = None						,       lowercase__ = False						,       ) ->      tuple[int, float, str]:
						__lowercase					=				cipher_alphabet or [chr(lowercase__   ) for i in range(97						,       123   )]

						# 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)
												__lowercase					=				{
												    """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
												__lowercase					=				frequencies_dict

						if not case_sensitive:
												__lowercase					=				ciphertext.lower()

						# Chi squared statistic values
						__lowercase					=				{}

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

												# decrypt the message with the shift
												for letter in ciphertext:
																		try:
																								# Try to index the letter in the alphabet
																								__lowercase					=				(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

												__lowercase					=				0.0

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

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

																														# Complete the chi squared statistic formula
																														__lowercase					=				((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
																														__lowercase					=				decrypted_with_shift.count(lowercase__   )

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

																														# Complete the chi squared statistic formula
																														__lowercase					=				((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
												__lowercase					=				(
												    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]

						__lowercase					=				min(
						    lowercase__						,       key=lowercase__						,       )

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










from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=_UpperCAmelCase			)
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  str      =			field(default="""summarization"""    ,					metadata={"""include_in_asdict_even_if_is_default""": True}			)
			lowercase__      :  ClassVar[Features]      =			Features({"""text""": Value("""string"""			)}			)
			lowercase__      :  ClassVar[Features]      =			Features({"""summary""": Value("""string"""			)}			)
			lowercase__      :  str      =			"text"
			lowercase__      :  str      =			"summary"





			@property
			def 		snake_case__			(				self	:       List[Any]   )						->					Dict[str, str]:
									"""simple docstring"""







									return {self.text_column: "text", self.summary_column: "summary"}





