



'''simple docstring'''



import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class _UpperCamelCase		(     A      ,       unittest.TestCase		):





				'''simple docstring'''





				lowerCAmelCase__					    =    GPTSanJapaneseTokenizer
				lowerCAmelCase__					    =    False
				lowerCAmelCase__					    =    {"""do_clean_text""": False, """add_prefix_space""": False}

				def 				__lowerCamelCase     (							self  :  Dict):







											'''simple docstring'''

											super().setUp()

											# fmt: off
											__lowercase       	=['こん', 'こんに', 'にちは', 'ばんは', '世界,㔺界', '、', '。', '<BR>', '<SP>', '<TAB>', '<URL>', '<EMAIL>', '<TEL>', '<DATE>', '<PRICE>', '<BLOCK>', '<KIGOU>', '<U2000U2BFF>', '<|emoji1|>', '<unk>', '<|bagoftoken|>', '<|endoftext|>']
											# fmt: on
											__lowercase       	={'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
											__lowercase       	={'unk_token': '<unk>'}

											__lowercase       	=os.path.join(self.tmpdirname  ,       VOCAB_FILES_NAMES['vocab_file'])
											__lowercase       	=os.path.join(self.tmpdirname  ,       VOCAB_FILES_NAMES['emoji_file'])
											with open(self.vocab_file  ,       'w'  ,       encoding='utf-8') as vocab_writer:
																		vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]))
											with open(self.emoji_file  ,       'w') as emoji_writer:
																		emoji_writer.write(json.dumps(_lowerCAmelCase))

				def 				__lowerCamelCase     (							self  :  Any  ,       **_lowerCAmelCase  :  Tuple):







											'''simple docstring'''

											kwargs.update(self.special_tokens_map)
											return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname  ,       **_lowerCAmelCase)

				def 				__lowerCamelCase     (							self  :  Dict  ,       _lowerCAmelCase  :  Dict):







											'''simple docstring'''

											__lowercase       	='こんにちは、世界。 \nこんばんは、㔺界。😀'
											__lowercase       	='こんにちは、世界。 \nこんばんは、世界。😀'
											return input_text, output_text

				def 				__lowerCamelCase     (							self  :  List[str]  ,       _lowerCAmelCase  :  Optional[int]):







											'''simple docstring'''

											__lowercase	,				__lowercase       	=self.get_input_output_texts(_lowerCAmelCase)
											__lowercase       	=tokenizer.encode(_lowerCAmelCase  ,       add_special_tokens=_lowerCAmelCase)
											__lowercase       	=tokenizer.decode(_lowerCAmelCase  ,       clean_up_tokenization_spaces=_lowerCAmelCase)
											return text, ids

				def 				__lowerCamelCase     (							self  :  Union[str, Any]):







											'''simple docstring'''

											pass  # TODO add if relevant

				def 				__lowerCamelCase     (							self  :  Optional[Any]):







											'''simple docstring'''

											pass  # TODO add if relevant

				def 				__lowerCamelCase     (							self  :  Optional[int]):







											'''simple docstring'''

											pass  # TODO add if relevant

				def 				__lowerCamelCase     (							self  :  Union[str, Any]):







											'''simple docstring'''

											__lowercase       	=self.get_tokenizer()

											# Testing tokenization
											__lowercase       	='こんにちは、世界。　こんばんは、㔺界。'
											__lowercase       	=['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
											__lowercase       	=tokenizer.tokenize(_lowerCAmelCase)
											self.assertListEqual(_lowerCAmelCase  ,       _lowerCAmelCase)

											# Testing conversion to ids without special tokens
											__lowercase       	=[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
											__lowercase       	=tokenizer.convert_tokens_to_ids(_lowerCAmelCase)
											self.assertListEqual(_lowerCAmelCase  ,       _lowerCAmelCase)

											# Testing conversion to ids with special tokens
											__lowercase       	=tokens + [tokenizer.unk_token]
											__lowercase       	=[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
											__lowercase       	=tokenizer.convert_tokens_to_ids(_lowerCAmelCase)
											self.assertListEqual(_lowerCAmelCase  ,       _lowerCAmelCase)

				def 				__lowerCamelCase     (							self  :  int):







											'''simple docstring'''

											__lowercase       	=self.get_tokenizer()

											# Testing tokenization
											__lowercase       	='こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'
											__lowercase       	='こんにちは、、、、世界。こんばんは、、、、世界。'
											__lowercase       	=tokenizer.encode(_lowerCAmelCase)
											__lowercase       	=tokenizer.decode(_lowerCAmelCase)
											self.assertEqual(_lowerCAmelCase  ,       _lowerCAmelCase)

				@slow
				def 				__lowerCamelCase     (							self  :  List[str]):







											'''simple docstring'''

											__lowercase       	=self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

											# Testing tokenization
											__lowercase       	='こんにちは、世界。'
											__lowercase       	='こんばんは、㔺界。😀'
											__lowercase       	='こんにちは、世界。こんばんは、世界。😀'
											__lowercase       	=tokenizer.encode(prefix_text + input_text)
											__lowercase       	=tokenizer.encode(''  ,       prefix_text=prefix_text + input_text)
											__lowercase       	=tokenizer.encode(_lowerCAmelCase  ,       prefix_text=_lowerCAmelCase)
											__lowercase       	=tokenizer.decode(_lowerCAmelCase)
											__lowercase       	=tokenizer.decode(_lowerCAmelCase)
											__lowercase       	=tokenizer.decode(_lowerCAmelCase)
											self.assertEqual(_lowerCAmelCase  ,       _lowerCAmelCase)
											self.assertEqual(_lowerCAmelCase  ,       _lowerCAmelCase)
											self.assertEqual(_lowerCAmelCase  ,       _lowerCAmelCase)

				@slow
				def 				__lowerCamelCase     (							self  :  str):







											'''simple docstring'''

											__lowercase       	=self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

											# Testing tokenization
											__lowercase       	='こんにちは、世界。'
											__lowercase       	='こんばんは、㔺界。😀'

											__lowercase       	=len(tokenizer.encode(_lowerCAmelCase)) - 2
											__lowercase       	=len(tokenizer.encode(_lowerCAmelCase)) - 2

											__lowercase       	=[1] + [0] * (len_prefix + len_text + 1)
											__lowercase       	=[1] * (len_prefix + len_text + 1) + [0]
											__lowercase       	=[1] + [1] * (len_prefix) + [0] * (len_text + 1)

											__lowercase       	=tokenizer(prefix_text + input_text).token_type_ids
											__lowercase       	=tokenizer(''  ,       prefix_text=prefix_text + input_text).token_type_ids
											__lowercase       	=tokenizer(_lowerCAmelCase  ,       prefix_text=_lowerCAmelCase).token_type_ids
											self.assertListEqual(_lowerCAmelCase  ,       _lowerCAmelCase)
											self.assertListEqual(_lowerCAmelCase  ,       _lowerCAmelCase)
											self.assertListEqual(_lowerCAmelCase  ,       _lowerCAmelCase)

				@slow
				def 				__lowerCamelCase     (							self  :  Optional[int]):







											'''simple docstring'''

											__lowercase       	=self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

											__lowercase       	=tokenizer.encode('あンいワ')
											__lowercase       	=tokenizer.encode(''  ,       prefix_text='あンいワ')
											__lowercase       	=tokenizer.encode('いワ'  ,       prefix_text='あン')

											self.assertEqual(tokenizer.decode(_lowerCAmelCase)  ,       tokenizer.decode(_lowerCAmelCase))
											self.assertEqual(tokenizer.decode(_lowerCAmelCase)  ,       tokenizer.decode(_lowerCAmelCase))
											self.assertNotEqual(_lowerCAmelCase  ,       _lowerCAmelCase)
											self.assertNotEqual(_lowerCAmelCase  ,       _lowerCAmelCase)
											self.assertEqual(x_token_a[1]  ,       x_token_a[-1])  # SEG token
											self.assertEqual(x_token_a[1]  ,       x_token_a[3])  # SEG token

				@slow
				def 				__lowerCamelCase     (							self  :  Optional[Any]):







											'''simple docstring'''

											__lowercase       	=self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

											__lowercase       	=[['武田信玄', 'は、'], ['織田信長', 'の配下の、']]
											__lowercase       	=tokenizer(_lowerCAmelCase  ,       padding=_lowerCAmelCase)
											__lowercase       	=tokenizer.batch_encode_plus(_lowerCAmelCase  ,       padding=_lowerCAmelCase)

											# fmt: off
											__lowercase       	=[[3_5_9_9_3, 8_6_4_0, 2_5_9_4_8, 3_5_9_9_8, 3_0_6_4_7, 3_5_6_7_5, 3_5_9_9_9, 3_5_9_9_9], [3_5_9_9_3, 1_0_3_8_2, 9_8_6_8, 3_5_9_9_8, 3_0_6_4_6, 9_4_5_9, 3_0_6_4_6, 3_5_6_7_5]]
											__lowercase       	=[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
											__lowercase       	=[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
											# fmt: on
											self.assertListEqual(x_token.input_ids  ,       _lowerCAmelCase)
											self.assertListEqual(x_token.token_type_ids  ,       _lowerCAmelCase)
											self.assertListEqual(x_token.attention_mask  ,       _lowerCAmelCase)
											self.assertListEqual(x_token_a.input_ids  ,       _lowerCAmelCase)
											self.assertListEqual(x_token_a.token_type_ids  ,       _lowerCAmelCase)
											self.assertListEqual(x_token_a.attention_mask  ,       _lowerCAmelCase)

				def 				__lowerCamelCase     (							self  :  Optional[Any]):







											'''simple docstring'''

											pass

				def 				__lowerCamelCase     (							self  :  Any):







											'''simple docstring'''

											pass









'''simple docstring'''



from __future__ import annotations



def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase = None  ,   _lowerCAmelCase = None  ,   _lowerCAmelCase = False  ,   ):



							"""simple docstring"""



							__lowercase       	=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)
														__lowercase       	={
														    '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
														__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(_lowerCAmelCase					)					):
														__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(
																												    _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

														__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(_lowerCAmelCase					)

																																			# 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(_lowerCAmelCase					)

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

							__lowercase       	=min(
							    _lowerCAmelCase  ,   key=_lowerCAmelCase  ,   )

							# 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,
							)



