



import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class    _lowercase (a_   , unittest.TestCase   ):
				'''simple docstring'''







				lowercase__     =    GPTNeoXJapaneseTokenizer
				lowercase__     =    False
				lowercase__     =    {"""do_clean_text""": False, """add_prefix_space""": False}

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									super().setUp()

									UpperCamelCase_			= [
									    "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>",
									    "<|startoftext|>",
									    "<|endoftext|>",
									]
									UpperCamelCase_			= {"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
									UpperCamelCase_			= {"unk_token": "<unk>"}

									UpperCamelCase_			= os.path.join(self.tmpdirname  ,			VOCAB_FILES_NAMES["vocab_file"]     )
									UpperCamelCase_			= 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(snake_case__     )     )

				def    _lowerCamelCase       (			self  ,			**snake_case__     ):

									'''simple docstring'''


									kwargs.update(self.special_tokens_map     )
									return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname  ,			**snake_case__     )

				def    _lowerCamelCase       (			self  ,			snake_case__     ):

									'''simple docstring'''


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

				def    _lowerCamelCase       (			self  ,			snake_case__     ):

									'''simple docstring'''


									UpperCamelCase_	,     UpperCamelCase_			= self.get_input_output_texts(snake_case__     )
									UpperCamelCase_			= tokenizer.encode(snake_case__  ,			add_special_tokens=snake_case__     )
									UpperCamelCase_			= tokenizer.decode(snake_case__  ,			clean_up_tokenization_spaces=snake_case__     )
									return text, ids

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									pass  # TODO add if relevant

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									pass  # TODO add if relevant

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									pass  # TODO add if relevant

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									UpperCamelCase_			= self.get_tokenizer()

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

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

									# Testing conversion to ids with special tokens
									UpperCamelCase_			= tokens + [tokenizer.unk_token]
									UpperCamelCase_			= [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
									UpperCamelCase_			= tokenizer.convert_tokens_to_ids(snake_case__     )
									self.assertListEqual(snake_case__  ,			snake_case__     )

				@slow
				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									UpperCamelCase_			= self.tokenizer_class.from_pretrained("abeja/gpt-neox-japanese-2.7b"     )

									UpperCamelCase_			= tokenizer.encode("ありがとう。"  ,			add_special_tokens=snake_case__     )
									UpperCamelCase_			= tokenizer.encode("どういたしまして。"  ,			add_special_tokens=snake_case__     )

									UpperCamelCase_			= tokenizer.build_inputs_with_special_tokens(snake_case__     )
									UpperCamelCase_			= tokenizer.build_inputs_with_special_tokens(snake_case__  ,			snake_case__     )

									assert encoded_sentence == ids_a
									assert encoded_pair == ids_a + ids_a

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									pass

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									pass




"""simple docstring"""
from __future__ import annotations

import math
import random






def 						lowercase				(	_snake_case		: int	,  _snake_case		: int	,  _snake_case		: int	)	->list[int]:
	"""simple docstring"""





	__snake_case      :		Tuple         =							d * e - 1
	__snake_case      :		List[str]         =							0
	__snake_case      :		Dict         =							0
	while p == 0:
		__snake_case      :		str         =							random.randint(2	,  n - 1	)
		__snake_case      :		int         =							k
		while True:
			if t % 2 == 0:
				__snake_case      :		int         =							t // 2
				__snake_case      :		int         =							(g**t) % n
				__snake_case      :		Optional[Any]         =							math.gcd(x - 1	,  _snake_case	)
				if x > 1 and y > 1:
					__snake_case      :		Tuple         =							y
					__snake_case      :		int         =							n // y
					break  # find the correct factors
			else:
				break  # t is not divisible by 2, break and choose another g
	return sorted([p, q]	)


if __name__ == "__main__":
			import doctest

			doctest.testmod()





