code: 
  
  
  """simple docstring"""
  
  
  
  
  import unittest
  
  from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
  from transformers.utils import cached_property
  
  
  
  
  class  __snake_case      (unittest.TestCase     ):
  
  
  
  
  							@cached_property
  							def      __a      (    self:						Optional[Any]      ):
  										return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""      )
  
  
  
  
  							@cached_property
  							def      __a      (    self:						Union[str, Any]      ):
  										return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""      )
  
  
  
  
  							def      __a      (    self:						Optional[Any]      ):
  										__lowerCamelCase        =			self.tokenizer_ab
  										__lowerCamelCase        =			""" I am a small frog."""
  										__lowerCamelCase        =			tok([src_text]    ,       padding=A_    ,       truncation=A_      )["""input_ids"""]
  										__lowerCamelCase        =			tok.batch_decode(A_    ,       skip_special_tokens=A_    ,       clean_up_tokenization_spaces=A_      )[0]
  										assert src_text == decoded
  
  
  
  
  							def      __a      (    self:						Tuple      ):
  										__lowerCamelCase        =			self.rust_tokenizer_ab
  										__lowerCamelCase        =			""" I am a small frog."""
  										__lowerCamelCase        =			tok([src_text]    ,       padding=A_    ,       truncation=A_      )["""input_ids"""]
  										__lowerCamelCase        =			tok.batch_decode(A_    ,       skip_special_tokens=A_    ,       clean_up_tokenization_spaces=A_      )[0]
  										assert src_text == decoded
  
  
  
  
  							def      __a      (    self:						Dict      ):
  										assert self.tokenizer_ab.add_prefix_space
  										assert self.tokenizer_ab([""" Sam""", """Sam"""]      ).input_ids == [[55_02, 2], [55_02, 2]]
  
  
  
  
  							def      __a      (    self:						Any      ):
  										assert self.rust_tokenizer_ab.add_prefix_space
  										assert self.rust_tokenizer_ab([""" Sam""", """Sam"""]      ).input_ids == [[55_02, 2], [55_02, 2]]
  
  
  
  
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import os
  
  
  
  
  
  def 			a_   (  ):
  			__lowerCamelCase        =			os.path.dirname(os.path.realpath(lowercase__    )    )
  			__lowerCamelCase        =			os.path.join(lowercase__, """triangle.txt"""    )
  
  			with open(lowercase__    ) as in_file:
  						__lowerCamelCase        =			[[int(lowercase__    ) for i in line.split()] for line in in_file]
  
  			while len(lowercase__    ) != 1:
  						__lowerCamelCase        =			triangle.pop()
  						__lowerCamelCase        =			triangle[-1]
  						for j in range(len(lowercase__    ) - 1    ):
  									curr_row[j] += max(last_row[j], last_row[j + 1]    )
  			return triangle[0][0]
  
  
  if __name__ == "__main__":
  					print(solution())
  
  
  
  
  