"""simple docstring"""






import requests
from bsa import BeautifulSoup



def 						a_		(      lowerCamelCase = "https://www.worldometers.info/coronavirus" ):
				UpperCAmelCase__    =							BeautifulSoup(requests.get(lowerCAmelCase__ ).text      ,    'html.parser' )
				UpperCAmelCase__    =							soup.findAll('h1' )
				UpperCAmelCase__    =							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""")


"""simple docstring"""






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


lowerCAmelCase__						:						Any		  =			logging.get_logger(__name__)

lowerCAmelCase__						:						str		  =			{'ctrl': 'https://huggingface.co/ctrl/resolve/main/config.json'}
class        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				"ctrl"
					snake_case__       					=				["past_key_values"]
					snake_case__       					=				{
					    "max_position_embeddings": "n_positions",
					    "hidden_size": "n_embd",
					    "num_attention_heads": "n_head",
					    "num_hidden_layers": "n_layer",
					}







					def __init__(       self     :			Any					,lowerCamelCase__     :			str=246_534					,lowerCamelCase__     :			List[str]=256					,lowerCamelCase__     :			Optional[int]=1_280					,lowerCamelCase__     :			Any=8_192					,lowerCamelCase__     :			int=48					,lowerCamelCase__     :			Optional[Any]=16					,lowerCamelCase__     :			Union[str, Any]=0.1					,lowerCamelCase__     :			Dict=0.1					,lowerCamelCase__     :			List[str]=1e-6					,lowerCamelCase__     :			List[str]=0.0_2					,lowerCamelCase__     :			Tuple=True					,**lowerCamelCase__     :			Optional[Any]					,):
									UpperCAmelCase__    =							vocab_size
									UpperCAmelCase__    =							n_positions
									UpperCAmelCase__    =							n_embd
									UpperCAmelCase__    =							n_layer
									UpperCAmelCase__    =							n_head
									UpperCAmelCase__    =							dff
									UpperCAmelCase__    =							resid_pdrop
									UpperCAmelCase__    =							embd_pdrop
									UpperCAmelCase__    =							layer_norm_epsilon
									UpperCAmelCase__    =							initializer_range

									UpperCAmelCase__    =							use_cache

									super().__init__(**lowerCamelCase__    )



