"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


SCREAMING_SNAKE_CASE__					  =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					  =     {
    'andreasmadsen/efficient_mlm_m0.40': (
        'https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'
    ),
}



class      lowerCAmelCase_			(	lowerCAmelCase_    ):



				"""simple docstring"""
				_lowerCAmelCase   :			str	     =  """roberta-prelayernorm"""

				def __init__( self						,			lowerCAmelCase=5_02_65						,			lowerCAmelCase=7_68						,			lowerCAmelCase=12						,			lowerCAmelCase=12						,			lowerCAmelCase=30_72						,			lowerCAmelCase="gelu"						,			lowerCAmelCase=0.1						,			lowerCAmelCase=0.1						,			lowerCAmelCase=5_12						,			lowerCAmelCase=2						,			lowerCAmelCase=0.02						,			lowerCAmelCase=1E-12						,			lowerCAmelCase=1						,			lowerCAmelCase=0						,			lowerCAmelCase=2						,			lowerCAmelCase="absolute"						,			lowerCAmelCase=True						,			lowerCAmelCase=None						,			**lowerCAmelCase						,			):






										"""simple docstring"""

										super().__init__(pad_token_id=__a						,			bos_token_id=__a						,			eos_token_id=__a						,			**__a			)

										snake_case	    =	vocab_size
										snake_case	    =	hidden_size
										snake_case	    =	num_hidden_layers
										snake_case	    =	num_attention_heads
										snake_case	    =	hidden_act
										snake_case	    =	intermediate_size
										snake_case	    =	hidden_dropout_prob
										snake_case	    =	attention_probs_dropout_prob
										snake_case	    =	max_position_embeddings
										snake_case	    =	type_vocab_size
										snake_case	    =	initializer_range
										snake_case	    =	layer_norm_eps
										snake_case	    =	position_embedding_type
										snake_case	    =	use_cache
										snake_case	    =	classifier_dropout





class      lowerCAmelCase_			(	lowerCAmelCase_    ):



				"""simple docstring"""

				@property
				def 						snake_case       ( self			):






										"""simple docstring"""

										if self.task == "multiple-choice":
																snake_case	    =	{0: 'batch', 1: 'choice', 2: 'sequence'}
										else:
																snake_case	    =	{0: 'batch', 1: 'sequence'}
										return OrderedDict(
										    [
										        ('input_ids', dynamic_axis),
										        ('attention_mask', dynamic_axis),
										    ]			)






'''simple docstring'''



import requests
from bsa import BeautifulSoup






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   str = "https://www.worldometers.info/coronavirus"   ):
					__a			:       List[Any]					    =  BeautifulSoup(requests.get(_SCREAMING_SNAKE_CASE   ).text						,      'html.parser'   )
					__a			:       Union[str, Any]					    =  soup.findAll('h1'   )
					__a			:       int					    =  soup.findAll('div'						,      {'class': 'maincounter-number'}   )
					keys += soup.findAll('span'						,      {'class': 'panel-title'}   )
					values += soup.findAll('div'						,      {'class': 'number-table-main'}   )
					return {key.text.strip(): value.text.strip() for key, value in zip(_SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE   )}


if __name__ == "__main__":
	print('\033[1m' + 'COVID-19 Status of the World' + '\033[0m\n')
	for key, value in world_covidaa_stats().items():
		print(f'''{key}\n{value}\n''')



