'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__a: int          =   logging.get_logger(__name__)

__a: Optional[int]          =   {
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    "roberta-prelayernorm"

       def __init__(						self	,   __lowerCAmelCase=50265	,   __lowerCAmelCase=768	,   __lowerCAmelCase=12	,   __lowerCAmelCase=12	,   __lowerCAmelCase=3072	,   __lowerCAmelCase="gelu"	,   __lowerCAmelCase=0.1	,   __lowerCAmelCase=0.1	,   __lowerCAmelCase=512	,   __lowerCAmelCase=2	,   __lowerCAmelCase=0.0_2	,   __lowerCAmelCase=1E-12	,   __lowerCAmelCase=1	,   __lowerCAmelCase=0	,   __lowerCAmelCase=2	,   __lowerCAmelCase="absolute"	,   __lowerCAmelCase=True	,   __lowerCAmelCase=None	,   **__lowerCAmelCase	,   )  ->  Union[str, Any]:
        super().__init__(pad_token_id=__lowerCAmelCase	,   bos_token_id=__lowerCAmelCase	,   eos_token_id=__lowerCAmelCase	,   **__lowerCAmelCase )

        lowercase__				:    Union[str, Any]  =					vocab_size
        lowercase__				:    List[str]  =					hidden_size
        lowercase__				:    Any  =					num_hidden_layers
        lowercase__				:    Tuple  =					num_attention_heads
        lowercase__				:    List[Any]  =					hidden_act
        lowercase__				:    str  =					intermediate_size
        lowercase__				:    int  =					hidden_dropout_prob
        lowercase__				:    int  =					attention_probs_dropout_prob
        lowercase__				:    Tuple  =					max_position_embeddings
        lowercase__				:    Union[str, Any]  =					type_vocab_size
        lowercase__				:    List[Any]  =					initializer_range
        lowercase__				:    Union[str, Any]  =					layer_norm_eps
        lowercase__				:    str  =					position_embedding_type
        lowercase__				:    List[str]  =					use_cache
        lowercase__				:    Optional[Any]  =					classifier_dropout



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       @property
       def _lowerCAmelCase(						self )  ->  Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
         lowercase__				:    Union[str, Any]  =					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
        else:
         lowercase__				:    str  =					{0: '''batch''', 1: '''sequence'''}
        return OrderedDict(
            [
                ('''input_ids''', dynamic_axis),
                ('''attention_mask''', dynamic_axis),
            ] )


'''simple docstring'''

import requests

__a: str          =   """https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="""
def 			__UpperCamelCase       (   UpperCAmelCase     ):
 # fetching a list of articles in json format
 lowercase__				:    Optional[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>""")

