code: 
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  __lowerCAmelCase				      =					{
      'configuration_deta': ['DETA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetaConfig'],
  }
  
  try:
  							if not is_vision_available():
  														raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  							pass
  else:
  							__lowerCAmelCase				      =					['DetaImageProcessor']
  
  try:
  							if not is_torch_available():
  														raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  							pass
  else:
  							__lowerCAmelCase				      =					[
  							    'DETA_PRETRAINED_MODEL_ARCHIVE_LIST',
  							    'DetaForObjectDetection',
  							    'DetaModel',
  							    'DetaPreTrainedModel',
  							]
  
  
  if TYPE_CHECKING:
  							from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
  							try:
  														if not is_vision_available():
  																					raise OptionalDependencyNotAvailable()
  							except OptionalDependencyNotAvailable:
  														pass
  							else:
  														from .image_processing_deta import DetaImageProcessor
  
  							try:
  														if not is_torch_available():
  																					raise OptionalDependencyNotAvailable()
  							except OptionalDependencyNotAvailable:
  														pass
  							else:
  														from .modeling_deta import (
  														    DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
  														    DetaForObjectDetection,
  														    DetaModel,
  														    DetaPreTrainedModel,
  														)
  
  else:
  							import sys
  
  							__lowerCAmelCase				      =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
style_context: 
  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 						lowerCamelCase			(					__lowerCamelCase   ,		unittest.TestCase				):
  	UpperCamelCase_     :				List[str]								=  GPTNeoXJapaneseTokenizer
  	UpperCamelCase_     :				List[Any]								=  False
  	UpperCamelCase_     :				int								=  {'do_clean_text': False, 'add_prefix_space': False}
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[int] )		->			Union[str, Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				super().setUp()
  
  				SCREAMING_SNAKE_CASE    	=   [
  				    '''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|>''',
  				]
  				SCREAMING_SNAKE_CASE    	=   {'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
  				SCREAMING_SNAKE_CASE    	=   {'''unk_token''': '''<unk>'''}
  
  				SCREAMING_SNAKE_CASE    	=   os.path.join(self.tmpdirname      ,    VOCAB_FILES_NAMES['''vocab_file'''] )
  				SCREAMING_SNAKE_CASE    	=   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(lowercase ) )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Dict      ,    **lowercase			:Optional[int] )		->			int:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				kwargs.update(self.special_tokens_map )
  				return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname      ,    **lowercase )
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Dict      ,    lowercase			:Union[str, Any] )		->			List[str]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   '''こんにちは、世界。 \nこんばんは、㔺界。😀'''
  				SCREAMING_SNAKE_CASE    	=   '''こんにちは、世界。 \nこんばんは、世界。😀'''
  				return input_text, output_text
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[int]      ,    lowercase			:Union[str, Any] )		->			List[str]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   self.get_input_output_texts(lowercase )
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode(lowercase      ,    add_special_tokens=lowercase )
  				SCREAMING_SNAKE_CASE    	=   tokenizer.decode(lowercase      ,    clean_up_tokenization_spaces=lowercase )
  				return text, ids
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Dict )		->			int:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				pass  # TODO add if relevant
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[str] )		->			List[str]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				pass  # TODO add if relevant
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[Any] )		->			Union[str, Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				pass  # TODO add if relevant
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Optional[Any] )		->			Dict:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.get_tokenizer()
  
  				# Testing tokenization
  				SCREAMING_SNAKE_CASE    	=   '''こんにちは、世界。　こんばんは、㔺界。'''
  				SCREAMING_SNAKE_CASE    	=   ['''こん''', '''にちは''', '''、''', '''世界''', '''。''', '''<SP>''', '''こん''', '''ばんは''', '''、''', '''㔺界''', '''。''']
  				SCREAMING_SNAKE_CASE    	=   tokenizer.tokenize(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				# Testing conversion to ids without special tokens
  				SCREAMING_SNAKE_CASE    	=   [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
  				SCREAMING_SNAKE_CASE    	=   tokenizer.convert_tokens_to_ids(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  				# Testing conversion to ids with special tokens
  				SCREAMING_SNAKE_CASE    	=   tokens + [tokenizer.unk_token]
  				SCREAMING_SNAKE_CASE    	=   [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
  				SCREAMING_SNAKE_CASE    	=   tokenizer.convert_tokens_to_ids(lowercase )
  				self.assertListEqual(lowercase      ,    lowercase )
  
  
  
  
  
  
  
  	@slow
  	def    snake_case__    (    self			:str )		->			Union[str, Any]:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   self.tokenizer_class.from_pretrained('''abeja/gpt-neox-japanese-2.7b''' )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode('''ありがとう。'''      ,    add_special_tokens=lowercase )
  				SCREAMING_SNAKE_CASE    	=   tokenizer.encode('''どういたしまして。'''      ,    add_special_tokens=lowercase )
  
  				SCREAMING_SNAKE_CASE    	=   tokenizer.build_inputs_with_special_tokens(lowercase )
  				SCREAMING_SNAKE_CASE    	=   tokenizer.build_inputs_with_special_tokens(lowercase      ,    lowercase )
  
  				assert encoded_sentence == ids_a
  				assert encoded_pair == ids_a + ids_a
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:List[Any] )		->			Dict:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				pass
  
  
  
  
  
  
  
  	def    snake_case__    (    self			:Any )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				pass