



import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu



@require_cpu
class  __lowerCAmelCase     (	unittest.TestCase   ):




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    torch.nn.Linear(10	,				10				)
    __lowerCamelCase													=    torch.optim.SGD(model.parameters()	,				0.1				)
    __lowerCamelCase													=    Accelerator()
    __lowerCamelCase													=    accelerator.prepare(__UpperCAmelCase				)
    try:
       pickle.loads(pickle.dumps(__UpperCAmelCase				)				)
    except Exception as e:
       self.fail(F"""Accelerated optimizer pickling failed with {e}"""				)
    AcceleratorState._reset_state()











from collections import namedtuple

import requests
from lxml import html  # type: ignore

a_			=					namedtuple("""covid_data""", """cases deaths recovered""")





def 		a__			(		_UpperCamelCase			: str = "https://www.worldometers.info/coronavirus/"							):
   __lowerCamelCase													=    '''//div[@class = "maincounter-number"]/span/text()'''
   return covid_data(*html.fromstring(requests.get(_UpperCamelCase							).content							).xpath(_UpperCamelCase							)							)


a_			=					"""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()))






