code: 
  
  
  import unittest
  
  from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
  from transformers.utils import cached_property
  
  
  
  
  
  
  
  class   lowerCAmelCase__ (       unittest.TestCase):
  
  
  
  
       '''simple docstring'''
  
  
       @cached_property
       def 				_lowerCamelCase				(		self)    ->       Union[str, Any]:
              return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B")
  
  
       @cached_property
       def 				_lowerCamelCase				(		self)    ->       List[Any]:
              return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B")
  
  
       def 				_lowerCamelCase				(		self)    ->       Tuple:
              _A   : Tuple       					=				self.tokenizer_ab
              _A   : List[Any]       					=				" I am a small frog."
              _A   : Optional[int]       					=				tok([src_text]				,		padding=__lowerCamelCase				,		truncation=__lowerCamelCase)["input_ids"]
              _A   : Union[str, Any]       					=				tok.batch_decode(__lowerCamelCase				,		skip_special_tokens=__lowerCamelCase				,		clean_up_tokenization_spaces=__lowerCamelCase)[0]
              assert src_text == decoded
  
  
       def 				_lowerCamelCase				(		self)    ->       Tuple:
              _A   : Tuple       					=				self.rust_tokenizer_ab
              _A   : List[str]       					=				" I am a small frog."
              _A   : Dict       					=				tok([src_text]				,		padding=__lowerCamelCase				,		truncation=__lowerCamelCase)["input_ids"]
              _A   : int       					=				tok.batch_decode(__lowerCamelCase				,		skip_special_tokens=__lowerCamelCase				,		clean_up_tokenization_spaces=__lowerCamelCase)[0]
              assert src_text == decoded
  
  
       def 				_lowerCamelCase				(		self)    ->       str:
              assert self.tokenizer_ab.add_prefix_space
              assert self.tokenizer_ab([" Sam", "Sam"]).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]
  
  
       def 				_lowerCamelCase				(		self)    ->       Optional[Any]:
              assert self.rust_tokenizer_ab.add_prefix_space
              assert self.rust_tokenizer_ab([" Sam", "Sam"]).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]
  
style_context: 
  
  
  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__)
  