





"""simple docstring"""



from __future__ import annotations






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					List[Any]     ,  SCREAMING_SNAKE_CASE:					Tuple = None     ,  SCREAMING_SNAKE_CASE:					List[Any] = None     ,  SCREAMING_SNAKE_CASE:					Any = False     ,  ):






							"""simple docstring"""



							_lowerCAmelCase  	=			cipher_alphabet or [chr(_SCREAMING_SNAKE_CASE						) 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)
														_lowerCAmelCase  	=			{
														    'a': 0.0_84_97,
														    'b': 0.0_14_92,
														    'c': 0.0_22_02,
														    'd': 0.0_42_53,
														    'e': 0.1_11_62,
														    'f': 0.0_22_28,
														    'g': 0.0_20_15,
														    'h': 0.0_60_94,
														    'i': 0.0_75_46,
														    'j': 0.0_01_53,
														    'k': 0.0_12_92,
														    'l': 0.0_40_25,
														    'm': 0.0_24_06,
														    'n': 0.0_67_49,
														    'o': 0.0_75_07,
														    'p': 0.0_19_29,
														    'q': 0.0_00_95,
														    'r': 0.0_75_87,
														    's': 0.0_63_27,
														    't': 0.0_93_56,
														    'u': 0.0_27_58,
														    'v': 0.0_09_78,
														    'w': 0.0_25_60,
														    'x': 0.0_01_50,
														    'y': 0.0_19_94,
														    'z': 0.0_00_77,
														}
							else:
														# Custom frequencies dictionary
														_lowerCAmelCase  	=			frequencies_dict

							if not case_sensitive:
														_lowerCAmelCase  	=			ciphertext.lower()

							# Chi squared statistic values
							_lowerCAmelCase  	=			{}

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

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

														_lowerCAmelCase  	=			0.0

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

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

																																			# Complete the chi squared statistic formula
																																			_lowerCAmelCase  	=			((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  	=			decrypted_with_shift.count(_SCREAMING_SNAKE_CASE						)

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

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

							_lowerCAmelCase  	=			min(
							    _SCREAMING_SNAKE_CASE     ,  key=_SCREAMING_SNAKE_CASE     ,  )

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



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

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase							)
class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							str							=					field(default="image-classification"      ,				metadata={"include_in_asdict_even_if_is_default": True}							)
				SCREAMING_SNAKE_CASE_:							ClassVar[Features]							=					Features({"image": Image()}							)
				SCREAMING_SNAKE_CASE_:							ClassVar[Features]							=					Features({"labels": ClassLabel}							)
				SCREAMING_SNAKE_CASE_:							str							=					"image"
				SCREAMING_SNAKE_CASE_:							str							=					"labels"


				def 				__lowerCamelCase	(					self	:			str				,     UpperCAmelCase_	:			Optional[Any]  )		->  Dict:







											"""simple docstring"""




											if self.label_column not in features:
																		raise ValueError(F"""Column {self.label_column} is not present in features."""  )
											if not isinstance(features[self.label_column]				,     UpperCAmelCase_  ):
																		raise ValueError(F"""Column {self.label_column} is not a ClassLabel."""  )
											_lowerCAmelCase  	=			copy.deepcopy(self  )
											_lowerCAmelCase  	=			self.label_schema.copy()
											_lowerCAmelCase  	=			features[self.label_column]
											_lowerCAmelCase  	=			label_schema
											return task_template







				@property
				def 				__lowerCamelCase	(					self	:			Union[str, Any]  )		->  Dict[str, str]:







											"""simple docstring"""




											return {
											    self.image_column: "image",
											    self.label_column: "labels",
											}






