code: 
  
  import unittest
  
  from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
  from transformers.utils import cached_property
  
  
  
  
  
  
  class     lowerCamelCase_			(  unittest.TestCase  ):
  
  
  
  
  	@cached_property
  	def 					lowerCAmelCase_					(    self	:    Any       ):
  		return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""       )
  
  
  
  
  	@cached_property
  	def 					lowerCAmelCase_					(    self	:    Optional[Any]       ):
  		return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[Any]       ):
  		__A   : Tuple								= self.tokenizer_ab
  		__A   : List[str]								= """ I am a small frog."""
  		__A   : int								= tok([src_text]				,			padding=__A				,			truncation=__A       )["""input_ids"""]
  		__A   : List[Any]								= tok.batch_decode(__A				,			skip_special_tokens=__A				,			clean_up_tokenization_spaces=__A       )[0]
  		assert src_text == decoded
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : Union[str, Any]								= self.rust_tokenizer_ab
  		__A   : str								= """ I am a small frog."""
  		__A   : Optional[Any]								= tok([src_text]				,			padding=__A				,			truncation=__A       )["""input_ids"""]
  		__A   : Union[str, Any]								= tok.batch_decode(__A				,			skip_special_tokens=__A				,			clean_up_tokenization_spaces=__A       )[0]
  		assert src_text == decoded
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[Any]       ):
  		assert self.tokenizer_ab.add_prefix_space
  		assert self.tokenizer_ab([""" Sam""", """Sam"""]       ).input_ids == [[5502, 2], [5502, 2]]
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    List[Any]       ):
  		assert self.rust_tokenizer_ab.add_prefix_space
  		assert self.rust_tokenizer_ab([""" Sam""", """Sam"""]       ).input_ids == [[5502, 2], [5502, 2]]
  
  
  
  
  
  
style_context: 
  
  import unittest
  from pathlib import Path
  
  from transformers import is_vision_available, load_tool
  from transformers.testing_utils import get_tests_dir
  
  from .test_tools_common import ToolTesterMixin
  
  
  if is_vision_available():
  			from PIL import Image
  
  
  
  
  
  
  class     lowerCamelCase_			(  unittest.TestCase	,			_lowercase  ):
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : str								= load_tool("""image-captioning"""       )
  		self.tool.setup()
  		__A   : Dict								= load_tool("""image-captioning"""				,			remote=__A       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Optional[int]       ):
  		__A   : List[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : Optional[Any]								= self.tool(__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : Any								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : List[str]								= self.remote_tool(__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Union[str, Any]       ):
  		__A   : Optional[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : str								= self.tool(image=__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    str       ):
  		__A   : Dict								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : List[Any]								= self.remote_tool(image=__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  
  