






from __future__ import annotations


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase = None ,		__lowerCAmelCase = None ,		__lowerCAmelCase = False ,		)->  tuple[int, float, str]:





						"""simple docstring"""



						_UpperCAmelCase									=			cipher_alphabet or [chr(__lowerCAmelCase	) 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)
												_UpperCAmelCase									=			{
												    '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
												_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(__lowerCAmelCase	)	):
												_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(
																								    __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

												_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(__lowerCAmelCase	)

																														# 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(__lowerCAmelCase	)

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

						_UpperCAmelCase									=			min(
						    __lowerCAmelCase ,		key=__lowerCAmelCase ,		)

						# 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 os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class __lowerCamelCase (      snake_case__     ,       unittest.TestCase):





	"""simple docstring"""






	UpperCamelCase__								=      TransfoXLTokenizer
	UpperCamelCase__								=      False
	UpperCamelCase__								=      False

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							super().setUp()

							_UpperCAmelCase									=			[
							    '<unk>',
							    '[CLS]',
							    '[SEP]',
							    'want',
							    'unwanted',
							    'wa',
							    'un',
							    'running',
							    ',',
							    'low',
							    'l',
							]
							_UpperCAmelCase									=			os.path.join(self.tmpdirname       ,    VOCAB_FILES_NAMES['vocab_file']    )
							with open(self.vocab_file       ,    'w'       ,    encoding='utf-8'    ) as vocab_writer:
													vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]    )    )

	def        UpperCamelCase    (							self       ,    **UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			True
							return TransfoXLTokenizer.from_pretrained(self.tmpdirname       ,    **UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			'<unk> UNwanted , running'
							_UpperCAmelCase									=			'<unk> unwanted, running'
							return input_text, output_text

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			TransfoXLTokenizer(vocab_file=self.vocab_file       ,    lower_case=UpperCAmelCase    )

							_UpperCAmelCase									=			tokenizer.tokenize('<unk> UNwanted , running'    )
							self.assertListEqual(UpperCAmelCase       ,    ['<unk>', 'unwanted', ',', 'running']    )

							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase    )       ,    [0, 4, 8, 7]    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			TransfoXLTokenizer(lower_case=UpperCAmelCase    )

							self.assertListEqual(
							    tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  '    )       ,    ['hello', '!', 'how', 'are', 'you', '?']    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			TransfoXLTokenizer(lower_case=UpperCAmelCase    )

							self.assertListEqual(
							    tokenizer.tokenize(' \tHeLLo ! how  \n Are yoU ?  '    )       ,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?']    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			TransfoXLTokenizer(lower_case=UpperCAmelCase    )
							_UpperCAmelCase									=			'Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'
							_UpperCAmelCase									=			[
							    'Hello',
							    '(',
							    'bracket',
							    ')',
							    'and',
							    'side',
							    '@-@',
							    'scrolled',
							    '[',
							    'and',
							    ']',
							    'Henry',
							    '\'s',
							    '$',
							    '5',
							    '@,@',
							    '000',
							    'with',
							    '3',
							    '@.@',
							    '34',
							    'm',
							    '.',
							    'What',
							    '\'s',
							    'up',
							    '!',
							    '?',
							]

							self.assertListEqual(tokenizer.tokenize(UpperCAmelCase    )       ,    UpperCAmelCase    )

							self.assertEqual(tokenizer.convert_tokens_to_string(UpperCAmelCase    )       ,    UpperCAmelCase    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.get_tokenizer()
							_UpperCAmelCase									=			len(UpperCAmelCase    )

							tokenizer.add_tokens(['new1', 'new2']    )
							tokenizer.move_added_token('new1'       ,    1    )

							# Check that moved token is not copied (duplicate)
							self.assertEqual(len(UpperCAmelCase    )       ,    original_len + 2    )
							# Check that token is moved to specified id
							self.assertEqual(tokenizer.encode('new1'    )       ,    [1]    )
							self.assertEqual(tokenizer.decode([1]    )       ,    'new1'    )
