


"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case    					=					logging.get_logger(__name__)

__snake_case    					=					{
    'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}

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



   _a   :       Optional[Any]									=    '''canine'''


   def __init__(						self ,     lowerCamelCase__=768 ,     lowerCamelCase__=12 ,     lowerCamelCase__=12 ,     lowerCamelCase__=3072 ,     lowerCamelCase__="gelu" ,     lowerCamelCase__=0.1 ,     lowerCamelCase__=0.1 ,     lowerCamelCase__=1_6384 ,     lowerCamelCase__=16 ,     lowerCamelCase__=0.02 ,     lowerCamelCase__=1E-12 ,     lowerCamelCase__=0 ,     lowerCamelCase__=0Xe_000 ,     lowerCamelCase__=0Xe_001 ,     lowerCamelCase__=4 ,     lowerCamelCase__=4 ,     lowerCamelCase__=8 ,     lowerCamelCase__=1_6384 ,     lowerCamelCase__=128 ,     **lowerCamelCase__ ,     )      ->							Dict:
    super().__init__(pad_token_id=lowerCamelCase__ ,     bos_token_id=lowerCamelCase__ ,     eos_token_id=lowerCamelCase__ ,     **lowerCamelCase__						)

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

    # Character config:
    lowercase__       :       Any				=						downsampling_rate
    lowercase__       :       Optional[int]				=						upsampling_kernel_size
    lowercase__       :       List[str]				=						num_hash_functions
    lowercase__       :       Optional[Any]				=						num_hash_buckets
    lowercase__       :       List[Any]				=						local_transformer_stride



"""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")