


"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


__snake_case    					=					logging.get_logger(__name__)

__snake_case    					=					{
    'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/config.json',
    'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/config.json',
    'xlm-roberta-large-finetuned-conll02-dutch': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll02-spanish': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-english': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'
    ),
    'xlm-roberta-large-finetuned-conll03-german': (
        'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'
    ),
}

class 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase  ):
   """simple docstring"""



   _a   :       Optional[int]									=    '''xlm-roberta'''


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

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

class 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase  ):
   """simple docstring"""



   @property
   def 					UpperCAmelCase__(						self						)      ->							Mapping[str, Mapping[int, str]]:
    if self.task == "multiple-choice":
     lowercase__       :       Optional[int]				=						{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
from bsa import BeautifulSoup


def    _lowerCamelCase   (     lowerCamelCase__	:							str = "https://www.worldometers.info/coronavirus"  ):
 lowercase__       :       Optional[Any]				=						BeautifulSoup(requests.get(lowerCamelCase__  ).text       ,		"""html.parser"""  )
 lowercase__       :       Union[str, Any]				=						soup.findAll("""h1"""  )
 lowercase__       :       List[str]				=						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")