"""simple docstring"""

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 (						lowercase__					,					unittest.TestCase      ):



						"""simple docstring"""




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





						def   UpperCAmelCase_ (				self							:    int				)				->				List[str]:
													'''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(__lowerCamelCase				)				)





						def   UpperCAmelCase_ (				self							:    Optional[Any]     , **UpperCamelCase__							:    Tuple				)				->				str:
													'''simple docstring'''



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





						def   UpperCAmelCase_ (				self							:    str     , UpperCamelCase__							:    List[str]				)				->				List[Any]:
													'''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   UpperCAmelCase_ (				self							:    Any     , UpperCamelCase__							:    Union[str, Any]				)				->				Optional[Any]:
													'''simple docstring'''



													__UpperCamelCase							=self.get_input_output_texts(__lowerCamelCase				)
													__UpperCamelCase							=tokenizer.encode(__lowerCamelCase     , add_special_tokens=__lowerCamelCase				)
													__UpperCamelCase							=tokenizer.decode(__lowerCamelCase     , clean_up_tokenization_spaces=__lowerCamelCase				)
													return text, ids





						def   UpperCAmelCase_ (				self							:    Dict				)				->				List[str]:
													'''simple docstring'''



													pass  # TODO add if relevant





						def   UpperCAmelCase_ (				self							:    List[str]				)				->				Optional[Any]:
													'''simple docstring'''



													pass  # TODO add if relevant





						def   UpperCAmelCase_ (				self							:    Any				)				->				Optional[Any]:
													'''simple docstring'''



													pass  # TODO add if relevant





						def   UpperCAmelCase_ (				self							:    Union[str, Any]				)				->				List[str]:
													'''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(__lowerCamelCase				)
													self.assertListEqual(__lowerCamelCase     , __lowerCamelCase				)

													# 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(__lowerCamelCase				)
													self.assertListEqual(__lowerCamelCase     , __lowerCamelCase				)

													# 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(__lowerCamelCase				)
													self.assertListEqual(__lowerCamelCase     , __lowerCamelCase				)





						@slow
						def   UpperCAmelCase_ (				self							:    List[str]				)				->				Optional[Any]:
													'''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=__lowerCamelCase				)
													__UpperCamelCase							=tokenizer.encode('''どういたしまして。'''     , add_special_tokens=__lowerCamelCase				)

													__UpperCamelCase							=tokenizer.build_inputs_with_special_tokens(__lowerCamelCase				)
													__UpperCamelCase							=tokenizer.build_inputs_with_special_tokens(__lowerCamelCase     , __lowerCamelCase				)

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





						def   UpperCAmelCase_ (				self							:    List[Any]				)				->				List[str]:
													'''simple docstring'''



													pass





						def   UpperCAmelCase_ (				self							:    str				)				->				Dict:
													'''simple docstring'''



													pass







def  lowercase_						(						_A     :       int		):

      """simple docstring"""




      if not isinstance(_A       ,   _A		):
            raise ValueError("double_factorial() only accepts integral values"		)
      if num < 0:
            raise ValueError("double_factorial() not defined for negative values"		)
      lowerCamelCase__						:							Union[str, Any]       =    1
      for i in range(_A       ,   0       ,   -2		):
            value *= i
      return value


if __name__ == "__main__":
    import doctest

    doctest.testmod()


