code: 
  
  
  
  
  
  import unittest
  
  from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
  from transformers.utils import cached_property
  
  
  
  
  
  
  
  class        __lowerCAmelCase (					unittest.TestCase):
  
  
  
  
  
  
  
        @cached_property
        def      _lowercase						(					self							)     ->		int:
  
  
  
          '''simple docstring'''
  
  
  
  
          return BlenderbotTokenizer.from_pretrained("facebook/blenderbot-3B"							)
  
  
  
  
  
  
  
        @cached_property
        def      _lowercase						(					self							)     ->		List[str]:
  
  
  
          '''simple docstring'''
  
  
  
  
          return BlenderbotTokenizerFast.from_pretrained("facebook/blenderbot-3B"							)
  
  
  
  
  
  
  
        def      _lowercase						(					self							)     ->		Tuple:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Dict            =self.tokenizer_ab
          a__			:      Optional[int]            =" I am a small frog."
          a__			:      Optional[Any]            =tok([src_text]	,   padding=lowerCAmelCase__	,   truncation=lowerCAmelCase__							)["input_ids"]
          a__			:      str            =tok.batch_decode(lowerCAmelCase__	,   skip_special_tokens=lowerCAmelCase__	,   clean_up_tokenization_spaces=lowerCAmelCase__							)[0]
          assert src_text == decoded
  
  
  
  
  
  
  
        def      _lowercase						(					self							)     ->		Optional[int]:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Union[str, Any]            =self.rust_tokenizer_ab
          a__			:      Any            =" I am a small frog."
          a__			:      int            =tok([src_text]	,   padding=lowerCAmelCase__	,   truncation=lowerCAmelCase__							)["input_ids"]
          a__			:      List[Any]            =tok.batch_decode(lowerCAmelCase__	,   skip_special_tokens=lowerCAmelCase__	,   clean_up_tokenization_spaces=lowerCAmelCase__							)[0]
          assert src_text == decoded
  
  
  
  
  
  
  
        def      _lowercase						(					self							)     ->		Any:
  
  
  
          '''simple docstring'''
  
  
  
  
          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      _lowercase						(					self							)     ->		List[str]:
  
  
  
          '''simple docstring'''
  
  
  
  
          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: 
  
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_detr import DetrImageProcessor
  
  
  UpperCAmelCase			:			List[Any]	  = logging.get_logger(__name__)
  
  
  
  
  
  
  
  class        __lowerCAmelCase (					UpperCamelCase__):
  
  
  
  
  
  
  
        def __init__(					self	,   *lowerCAmelCase__	,   **lowerCAmelCase__							)     ->		None:
  
  
  
          '''simple docstring'''
  
  
  
  
          warnings.warn(
              "The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
              " Please use DetrImageProcessor instead."	,   lowerCAmelCase__	,   )
          super().__init__(*lowerCAmelCase__	,   **lowerCAmelCase__							)
  
  
  
  
  
  
  