

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      _a				( snake_case_    ,							unittest.TestCase							):




      """simple docstring"""

      _lowerCamelCase					: Tuple					=					GPTNeoXJapaneseTokenizer
      _lowerCamelCase					: Optional[Any]					=					False
      _lowerCamelCase					: int					=					{'do_clean_text': False, 'add_prefix_space': False}





      def 		__A  (      self       :							Dict  ):
            super().setUp()

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

            A_	     =							os.path.join(self.tmpdirname	, VOCAB_FILES_NAMES["vocab_file"]  )
            A_	     =							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(UpperCAmelCase  )  )





      def 		__A  (      self       :							List[str]	, **UpperCAmelCase       :							Any  ):
            kwargs.update(self.special_tokens_map  )
            return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname	, **UpperCAmelCase  )





      def 		__A  (      self       :							int	, UpperCAmelCase       :							str  ):
            A_	     =							"こんにちは、世界。 \nこんばんは、㔺界。😀"
            A_	     =							"こんにちは、世界。 \nこんばんは、世界。😀"
            return input_text, output_text





      def 		__A  (      self       :							Dict	, UpperCAmelCase       :							Any  ):
            A_     ,    A_	     =							self.get_input_output_texts(UpperCAmelCase  )
            A_	     =							tokenizer.encode(UpperCAmelCase	, add_special_tokens=UpperCAmelCase  )
            A_	     =							tokenizer.decode(UpperCAmelCase	, clean_up_tokenization_spaces=UpperCAmelCase  )
            return text, ids





      def 		__A  (      self       :							str  ):
            pass  # TODO add if relevant





      def 		__A  (      self       :							Tuple  ):
            pass  # TODO add if relevant





      def 		__A  (      self       :							Dict  ):
            pass  # TODO add if relevant





      def 		__A  (      self       :							Dict  ):
            A_	     =							self.get_tokenizer()

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

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

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





      @slow
      def 		__A  (      self       :							Dict  ):
            A_	     =							self.tokenizer_class.from_pretrained("abeja/gpt-neox-japanese-2.7b"  )

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

            A_	     =							tokenizer.build_inputs_with_special_tokens(UpperCAmelCase  )
            A_	     =							tokenizer.build_inputs_with_special_tokens(UpperCAmelCase	, UpperCAmelCase  )

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





      def 		__A  (      self       :							Union[str, Any]  ):
            # Intentionally convert some words to accommodate character fluctuations unique to Japanese
            pass







      def 		__A  (      self       :							int  ):
            # tokenizer has no padding token
            pass


__a						:Dict            = {hex(i)[2:]: i for i in range(16)}  # Use [:2] to strip off the leading '0x'

def 			__snake_case	(   __UpperCamelCase  :   str						):



      """simple docstring"""

      A_	     =							hex_string.strip().lower()
      if not hex_string:
            raise ValueError("Empty string was passed to the function"						)
      A_	     =							hex_string[0] == "-"
      if is_negative:
            A_	     =							hex_string[1:]
      if not all(char in hex_table for char in hex_string						):
            raise ValueError("Non-hexadecimal value was passed to the function"						)
      A_	     =							0
      for char in hex_string:
            A_	     =							16 * decimal_number + hex_table[char]
      return -decimal_number if is_negative else decimal_number


if __name__ == "__main__":
      from doctest import testmod

      testmod()