





'''simple docstring'''






from typing import Dict

from .base import GenericTensor, Pipeline


class   _lowercase						(							a				):


   def 					snake_case				( self    ,   _UpperCAmelCase=None    ,   _UpperCAmelCase=None    ,   _UpperCAmelCase=None    ,   **_UpperCAmelCase					):
       if tokenize_kwargs is None:
           A       :       Tuple							=						{}

       if truncation is not None:
           if "truncation" in tokenize_kwargs:
               raise ValueError(
                   '''truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'''					)
           A       :       List[Any]							=						truncation

       A       :       str							=						tokenize_kwargs

       A       :       int							=						{}
       if return_tensors is not None:
           A       :       List[Any]							=						return_tensors

       return preprocess_params, {}, postprocess_params


   def 					snake_case				( self    ,   _UpperCAmelCase    ,   **_UpperCAmelCase					):
       A       :       Tuple							=						self.framework
       A       :       List[str]							=						self.tokenizer(_UpperCAmelCase    ,   return_tensors=_UpperCAmelCase    ,   **_UpperCAmelCase					)
       return model_inputs


   def 					snake_case				( self    ,   _UpperCAmelCase					):
       A       :       Tuple							=						self.model(**_UpperCAmelCase					)
       return model_outputs


   def 					snake_case				( self    ,   _UpperCAmelCase    ,   _UpperCAmelCase=False					):
       # [0] is the first available tensor, logits or last_hidden_state.
       if return_tensors:
           return model_outputs[0]
       if self.framework == "pt":
           return model_outputs[0].tolist()
       elif self.framework == "tf":
           return model_outputs[0].numpy().tolist()


   def __call__( self    ,   *_UpperCAmelCase    ,   **_UpperCAmelCase					):
       return super().__call__(*_UpperCAmelCase    ,   **_UpperCAmelCase					)







'''simple docstring'''






import requests

snake_case_     =	"""https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="""
def 							_lowerCamelCase(  UpperCamelCase__    : str		)		->  None:
    # fetching a list of articles in json format
    A       :       Any							=						requests.get(_NEWS_API + bbc_news_api_key		).json()
    # each article in the list is a dict
    for i, article in enumerate(bbc_news_page['''articles''']    ,       1		):
        print(F'''{i}.) {article['title']}'''		)


if __name__ == "__main__":
     fetch_bbc_news(bbc_news_api_key="""<Your BBC News API key goes here>""")
