






'''simple docstring'''





from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin







class  _lowercase   (   _A						,				_A						):
      @register_to_config
      def __init__(     self				,			a = 7_6_8				,			):
       super().__init__()

       snake_case__  :    List[Any]							       =nn.Parameter(torch.zeros(1				,			a   )   )
       snake_case__  :    Dict							       =nn.Parameter(torch.ones(1				,			a   )   )
      def 						lowercase__					(     self				,			a = None				,			a = None				,			):
       snake_case__  :    Tuple							       =nn.Parameter(self.mean.to(a   ).to(a   )   )
       snake_case__  :    Dict							       =nn.Parameter(self.std.to(a   ).to(a   )   )
       return self
      def 						lowercase__					(     self				,			a   ):
       snake_case__  :    str							       =(embeds - self.mean) * 1.0 / self.std
       return embeds



      def 						lowercase__					(     self				,			a   ):
       snake_case__  :    Optional[Any]							       =(embeds * self.std) + self.mean
       return embeds













from collections import namedtuple

import requests
from lxml import html  # type: ignore

__lowerCamelCase	:		Any										=   namedtuple("""covid_data""", """cases deaths recovered""")







def 			A__							(      _a  :					str = "https://www.worldometers.info/coronavirus/"	):





 '''simple docstring'''







 snake_case__  :    Any							       ="""//div[@class = \"maincounter-number\"]/span/text()"""
 return covid_data(*html.fromstring(requests.get(_a	).content	).xpath(_a	)	)


__lowerCamelCase	:		str										=   """Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""

print(fmt.format(*covid_stats()))





