


'''simple docstring'''

from __future__ import annotations

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase = None,				lowerCamelCase = None,				lowerCamelCase = False,				):
						__lowerCAmelCase							       =				cipher_alphabet or [chr(lowerCamelCase) 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							       =				{
												    '''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(lowerCamelCase)):
												__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(
																								    lowerCamelCase)
																								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(lowerCamelCase)

																														# 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(lowerCamelCase)

																														# 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(lowerCamelCase) -> tuple[float, str]:
												return chi_squared_statistic_values[key]

						__lowerCAmelCase							       =				min(
						    lowerCamelCase,				key=lowerCamelCase,				)

						# 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'''

from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments

