"""simple docstring"""




from __future__ import annotations






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = False       ,    ):






							"""simple docstring"""





							A__	     =							cipher_alphabet or [chr(UpperCamelCase__				) 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)
														A__	     =							{
														    'a': 0.0_8_4_9_7,
														    'b': 0.0_1_4_9_2,
														    'c': 0.0_2_2_0_2,
														    'd': 0.0_4_2_5_3,
														    'e': 0.1_1_1_6_2,
														    'f': 0.0_2_2_2_8,
														    'g': 0.0_2_0_1_5,
														    'h': 0.0_6_0_9_4,
														    'i': 0.0_7_5_4_6,
														    'j': 0.0_0_1_5_3,
														    'k': 0.0_1_2_9_2,
														    'l': 0.0_4_0_2_5,
														    'm': 0.0_2_4_0_6,
														    'n': 0.0_6_7_4_9,
														    'o': 0.0_7_5_0_7,
														    'p': 0.0_1_9_2_9,
														    'q': 0.0_0_0_9_5,
														    'r': 0.0_7_5_8_7,
														    's': 0.0_6_3_2_7,
														    't': 0.0_9_3_5_6,
														    'u': 0.0_2_7_5_8,
														    'v': 0.0_0_9_7_8,
														    'w': 0.0_2_5_6_0,
														    'x': 0.0_0_1_5_0,
														    'y': 0.0_1_9_9_4,
														    'z': 0.0_0_0_7_7,
														}
							else:
														# Custom frequencies dictionary
														A__	     =							frequencies_dict

							if not case_sensitive:
														A__	     =							ciphertext.lower()

							# Chi squared statistic values
							A__	     =							{}

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

														# decrypt the message with the shift
														for letter in ciphertext:
																					try:
																												# Try to index the letter in the alphabet
																												A__	     =							(alphabet_letters.index(letter.lower()				) - shift) % len(
																												    UpperCamelCase__				)
																												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

														A__	     =							0.0

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

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

																																			# Complete the chi squared statistic formula
																																			A__	     =							((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
																																			A__	     =							decrypted_with_shift.count(UpperCamelCase__				)

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

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

							A__	     =							min(
							    UpperCamelCase__       ,    key=UpperCamelCase__       ,    )

							# Get all the data from the most likely cipher (key, decoded message)
							(
							    (
							    A__  
							)     ,  (
							    A__  
							)     ,    
							)	     =							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 os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class     UpperCamelCase__(			__A		,						unittest.TestCase ):
						lowerCAmelCase__  :						Optional[int]													=		CpmAntTokenizer
						lowerCAmelCase__  :						List[str]													=		False





						def 				snake_case__	(       self     )					->				Dict:
													super().setUp()

													A__	     =							[
													    '<d>',
													    '</d>',
													    '<s>',
													    '</s>',
													    '</_>',
													    '<unk>',
													    '<pad>',
													    '</n>',
													    '我',
													    '是',
													    'C',
													    'P',
													    'M',
													    'A',
													    'n',
													    't',
													]
													A__	     =							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]     )     )





						@tooslow
						def 				snake_case__	(       self     )					->				List[Any]:
													A__	     =							CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b'     )
													A__	     =							'今天天气真好！'
													A__	     =							['今天', '天气', '真', '好', '！']
													A__	     =							tokenizer.tokenize(__UpperCAmelCase     )
													self.assertListEqual(__UpperCAmelCase		,__UpperCAmelCase     )
													A__	     =							'今天天气真好！'
													A__	     =							[tokenizer.bos_token] + tokens

													A__	     =							[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase     )		,__UpperCAmelCase     )

													A__	     =							tokenizer.decode(__UpperCAmelCase     )
													self.assertEqual(__UpperCAmelCase		,__UpperCAmelCase     )





