





"""simple docstring"""



from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


 _lowerCamelCase								=	["""image_processor""", """tokenizer"""]
 _lowerCamelCase								=	"""AutoImageProcessor"""
 _lowerCamelCase								=	"""AutoTokenizer"""

 def __init__(       self   ,		__lowerCamelCase   ,		__lowerCamelCase    ):



     '''simple docstring'''




     super().__init__(__lowerCamelCase   ,		__lowerCamelCase    )
     __A       :		Optional[int]							=	self.image_processor

 def __call__(       self   ,		__lowerCamelCase=None   ,		__lowerCamelCase=None   ,		__lowerCamelCase=None   ,		**__lowerCamelCase    ):



     '''simple docstring'''




     if text is None and images is None:
         raise ValueError('''You have to specify either text or images. Both cannot be none.'''    )

     if text is not None:
         __A       :		List[str]							=	self.tokenizer(__lowerCamelCase   ,		return_tensors=__lowerCamelCase   ,		**__lowerCamelCase    )

     if images is not None:
         __A       :		Union[str, Any]							=	self.image_processor(__lowerCamelCase   ,		return_tensors=__lowerCamelCase   ,		**__lowerCamelCase    )

     if text is not None and images is not None:
         __A       :		Optional[Any]							=	image_features.pixel_values
         return encoding
     elif text is not None:
         return encoding
     else:
         return BatchEncoding(data=dict(**__lowerCamelCase    )   ,		tensor_type=__lowerCamelCase    )

 def    UpperCamelCase__(       self   ,		*__lowerCamelCase   ,		**__lowerCamelCase    ):



     '''simple docstring'''




     return self.tokenizer.batch_decode(*__lowerCamelCase   ,		**__lowerCamelCase    )

 def    UpperCamelCase__(       self   ,		*__lowerCamelCase   ,		**__lowerCamelCase    ):



     '''simple docstring'''




     return self.tokenizer.decode(*__lowerCamelCase   ,		**__lowerCamelCase    )







 @property
 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     return ["input_ids", "attention_mask", "pixel_values"]











"""simple docstring"""



import requests

a_					=     """https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="""







def 						__lowercase	(  snake_case_    :    str		)  ->None:



    '''simple docstring'''







    __A       :		str							=	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>""")




