






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


snake_case__   :						Any													=   logging.get_logger(__name__)

snake_case__   :						Tuple													=   {
    """caidas/swin2sr-classicalsr-x2-64""": (
        """https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json"""
    ),
}


class     _a							(	__UpperCAmelCase     ):






  """simple docstring"""





  A_						       = '''swin2sr'''

  A_						       = {
      '''hidden_size''': '''embed_dim''',
      '''num_attention_heads''': '''num_heads''',
      '''num_hidden_layers''': '''num_layers''',
  }




  def __init__(  self		,		_UpperCAmelCase=64		,		_UpperCAmelCase=1		,		_UpperCAmelCase=3		,		_UpperCAmelCase=180		,		_UpperCAmelCase=[6, 6, 6, 6, 6, 6]		,		_UpperCAmelCase=[6, 6, 6, 6, 6, 6]		,		_UpperCAmelCase=8		,		_UpperCAmelCase=2.0		,		_UpperCAmelCase=True		,		_UpperCAmelCase=0.0		,		_UpperCAmelCase=0.0		,		_UpperCAmelCase=0.1		,		_UpperCAmelCase="gelu"		,		_UpperCAmelCase=False		,		_UpperCAmelCase=0.0_2		,		_UpperCAmelCase=1e-5		,		_UpperCAmelCase=2		,		_UpperCAmelCase=1.0		,		_UpperCAmelCase="1conv"		,		_UpperCAmelCase="pixelshuffle"		,		**_UpperCAmelCase		,		)      ->			str:
     super().__init__(**lowerCamelCase__			)

     UpperCamelCase_						=  image_size
     UpperCamelCase_						=  patch_size
     UpperCamelCase_						=  num_channels
     UpperCamelCase_						=  embed_dim
     UpperCamelCase_						=  depths
     UpperCamelCase_						=  len(lowerCamelCase__			)
     UpperCamelCase_						=  num_heads
     UpperCamelCase_						=  window_size
     UpperCamelCase_						=  mlp_ratio
     UpperCamelCase_						=  qkv_bias
     UpperCamelCase_						=  hidden_dropout_prob
     UpperCamelCase_						=  attention_probs_dropout_prob
     UpperCamelCase_						=  drop_path_rate
     UpperCamelCase_						=  hidden_act
     UpperCamelCase_						=  use_absolute_embeddings
     UpperCamelCase_						=  layer_norm_eps
     UpperCamelCase_						=  initializer_range
     UpperCamelCase_						=  upscale
     UpperCamelCase_						=  img_range
     UpperCamelCase_						=  resi_connection
     UpperCamelCase_						=  upsampler









"""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")