

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   ):
     _lowercase     :	str        =      GPTNeoXJapaneseTokenizer
     _lowercase     :	Optional[Any]        =      False
     _lowercase     :	Dict        =      {'do_clean_text': False, 'add_prefix_space': False}


     def     UpperCAmelCase    (				self     :						List[Any]   )				->      Optional[Any]:
      super().setUp()

      __lowerCAmelCase:  Optional[Any]        = [
          '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|>',
      ]
      __lowerCAmelCase:  Optional[int]        = {'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
      __lowerCAmelCase:  Optional[int]        = {'unk_token': '<unk>'}

      __lowerCAmelCase:  Union[str, Any]        = os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES['vocab_file']   )
      __lowerCAmelCase:  int        = 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     UpperCAmelCase    (				self     :						Dict     ,    **UpperCAmelCase     :						List[Any]   )				->      Dict:
      kwargs.update(self.special_tokens_map   )
      return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname     ,    **UpperCAmelCase   )


     def     UpperCAmelCase    (				self     :						Optional[Any]     ,    UpperCAmelCase     :						Tuple   )				->      Optional[int]:
      __lowerCAmelCase:  str        = 'こんにちは、世界。 \nこんばんは、㔺界。😀'
      __lowerCAmelCase:  Optional[int]        = 'こんにちは、世界。 \nこんばんは、世界。😀'
      return input_text, output_text


     def     UpperCAmelCase    (				self     :						List[str]     ,    UpperCAmelCase     :						List[str]   )				->      Tuple:
      __lowerCAmelCase      ,				__lowerCAmelCase:  int        = self.get_input_output_texts(UpperCAmelCase   )
      __lowerCAmelCase:  Union[str, Any]        = tokenizer.encode(UpperCAmelCase     ,    add_special_tokens=UpperCAmelCase   )
      __lowerCAmelCase:  Any        = tokenizer.decode(UpperCAmelCase     ,    clean_up_tokenization_spaces=UpperCAmelCase   )
      return text, ids


     def     UpperCAmelCase    (				self     :						List[Any]   )				->      Dict:
      pass  # TODO add if relevant


     def     UpperCAmelCase    (				self     :						Optional[int]   )				->      int:
      pass  # TODO add if relevant


     def     UpperCAmelCase    (				self     :						Any   )				->      Any:
      pass  # TODO add if relevant


     def     UpperCAmelCase    (				self     :						str   )				->      Dict:
      __lowerCAmelCase:  Optional[int]        = self.get_tokenizer()

      # Testing tokenization
      __lowerCAmelCase:  Tuple        = 'こんにちは、世界。　こんばんは、㔺界。'
      __lowerCAmelCase:  str        = ['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
      __lowerCAmelCase:  Any        = tokenizer.tokenize(UpperCAmelCase   )
      self.assertListEqual(UpperCAmelCase     ,    UpperCAmelCase   )

      # Testing conversion to ids without special tokens
      __lowerCAmelCase:  Union[str, Any]        = [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
      __lowerCAmelCase:  Optional[Any]        = tokenizer.convert_tokens_to_ids(UpperCAmelCase   )
      self.assertListEqual(UpperCAmelCase     ,    UpperCAmelCase   )

      # Testing conversion to ids with special tokens
      __lowerCAmelCase:  List[Any]        = tokens + [tokenizer.unk_token]
      __lowerCAmelCase:  Union[str, Any]        = [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
      __lowerCAmelCase:  Any        = tokenizer.convert_tokens_to_ids(UpperCAmelCase   )
      self.assertListEqual(UpperCAmelCase     ,    UpperCAmelCase   )


     @slow
     def     UpperCAmelCase    (				self     :						List[Any]   )				->      int:
      __lowerCAmelCase:  int        = self.tokenizer_class.from_pretrained('abeja/gpt-neox-japanese-2.7b'   )

      __lowerCAmelCase:  int        = tokenizer.encode('ありがとう。'     ,    add_special_tokens=UpperCAmelCase   )
      __lowerCAmelCase:  List[str]        = tokenizer.encode('どういたしまして。'     ,    add_special_tokens=UpperCAmelCase   )

      __lowerCAmelCase:  Any        = tokenizer.build_inputs_with_special_tokens(UpperCAmelCase   )
      __lowerCAmelCase:  Optional[Any]        = tokenizer.build_inputs_with_special_tokens(UpperCAmelCase     ,    UpperCAmelCase   )

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


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


     def     UpperCAmelCase    (				self     :						Dict   )				->      int:
      # tokenizer has no padding token
      pass








def _a					(			SCREAMING_SNAKE_CASE						:     str						)       ->       str:

 """simple docstring"""






 return "".join(chr(ord(SCREAMING_SNAKE_CASE						) + 32						) if 'A' <= char <= 'Z' else char for char in word						)


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

  testmod()





