



'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase	:		Optional[int]				=   logging.get_logger(__name__)

lowerCAmelCase	:		List[Any]				=   {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}






class 					UpperCAmelCase__	(		UpperCamelCase__ ):
     a      :     Union[str, Any]        =							"""data2vec-text"""



     def __init__(    self			,				UpperCamelCase=3_0522			,				UpperCamelCase=768			,				UpperCamelCase=12			,				UpperCamelCase=12			,				UpperCamelCase=3072			,				UpperCamelCase="gelu"			,				UpperCamelCase=0.1			,				UpperCamelCase=0.1			,				UpperCamelCase=512			,				UpperCamelCase=2			,				UpperCamelCase=0.02			,				UpperCamelCase=1E-12			,				UpperCamelCase=1			,				UpperCamelCase=0			,				UpperCamelCase=2			,				UpperCamelCase="absolute"			,				UpperCamelCase=True			,				UpperCamelCase=None			,				**UpperCamelCase			,				)     ->			Dict:
      super().__init__(pad_token_id=UpperCamelCase			,				bos_token_id=UpperCamelCase			,				eos_token_id=UpperCamelCase			,				**UpperCamelCase     )

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






class 					UpperCAmelCase__	(		UpperCamelCase__ ):



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




'''simple docstring'''



import requests
from bsa import BeautifulSoup



def   __lowerCAmelCase					(							lowerCamelCase   :						str = "https://www.worldometers.info/coronavirus"					):






	'''simple docstring'''




	__lowerCAmelCase												=  BeautifulSoup(requests.get(lowerCamelCase					).text				,		"html.parser"					)
	__lowerCAmelCase												=  soup.findAll("h1"					)
	__lowerCAmelCase												=  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(lowerCamelCase				,		lowerCamelCase					)}


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')