code: 
  '''simple docstring'''
  
  import unittest
  
  from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
  from transformers.utils import cached_property
  
  
  class   a_  (unittest.TestCase    ):
  
  
  
  
         @cached_property
         def 							__UpperCamelCase       (     self  ):
           return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""  )
  
  
  
  
         @cached_property
         def 							__UpperCamelCase       (     self  ):
           return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""  )
  
  
  
  
         def 							__UpperCamelCase       (     self  ):
           _lowerCAmelCase       :  Tuple   				=					self.tokenizer_ab
           _lowerCAmelCase       :  str   				=					""" I am a small frog."""
           _lowerCAmelCase       :  List[str]   				=					tok([src_text]   ,   padding=snake_case_   ,   truncation=snake_case_  )["""input_ids"""]
           _lowerCAmelCase       :  Union[str, Any]   				=					tok.batch_decode(snake_case_   ,   skip_special_tokens=snake_case_   ,   clean_up_tokenization_spaces=snake_case_  )[0]
           assert src_text == decoded
  
  
  
  
         def 							__UpperCamelCase       (     self  ):
           _lowerCAmelCase       :  Union[str, Any]   				=					self.rust_tokenizer_ab
           _lowerCAmelCase       :  int   				=					""" I am a small frog."""
           _lowerCAmelCase       :  Any   				=					tok([src_text]   ,   padding=snake_case_   ,   truncation=snake_case_  )["""input_ids"""]
           _lowerCAmelCase       :  Tuple   				=					tok.batch_decode(snake_case_   ,   skip_special_tokens=snake_case_   ,   clean_up_tokenization_spaces=snake_case_  )[0]
           assert src_text == decoded
  
  
  
  
         def 							__UpperCamelCase       (     self  ):
           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 							__UpperCamelCase       (     self  ):
           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: 
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  UpperCamelCase_     			=       {
      """configuration_deformable_detr""": ["""DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeformableDetrConfig"""],
  }
  
  try:
       if not is_vision_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       UpperCamelCase_     			=       ["""DeformableDetrFeatureExtractor"""]
       UpperCamelCase_     			=       ["""DeformableDetrImageProcessor"""]
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       UpperCamelCase_     			=       [
           """DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """DeformableDetrForObjectDetection""",
           """DeformableDetrModel""",
           """DeformableDetrPreTrainedModel""",
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig
  
       try:
            if not is_vision_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
            from .image_processing_deformable_detr import DeformableDetrImageProcessor
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_deformable_detr import (
                DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
                DeformableDetrForObjectDetection,
                DeformableDetrModel,
                DeformableDetrPreTrainedModel,
            )
  
  else:
       import sys
  
       UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  