from collections import namedtuple

import requests
from lxml import html  # type: ignore

UpperCamelCase__											=					namedtuple('covid_data', 'cases deaths recovered')




def    lowerCAmelCase_ (     __A = "https://www.worldometers.info/coronavirus/"							)     ->				covid_data:







      '''simple docstring'''


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


UpperCamelCase__											=					'Total COVID-19 cases in the world: {}\nTotal deaths due to COVID-19 in the world: {}\nTotal COVID-19 patients recovered in the world: {}'







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




'''simple docstring'''

from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset







class 				_lowercase     (				UpperCAmelCase__			):


 '''simple docstring'''






 def a					(      self   :	int							)  ->    Optional[Any]:
  return [
      {"col_1": 3, "col_2": "a"},
      {"col_1": 2, "col_2": "b"},
      {"col_1": 1, "col_2": "c"},
      {"col_1": 0, "col_2": "d"},
  ]
 def a					(      self   :	List[Any]							)  ->    Any:
  __lowerCAmelCase											=						{"""col_1""": [3, 2, 1, 0], """col_2""": ["""a""", """b""", """c""", """d"""]}
  return Dataset.from_dict(SCREAMING_SNAKE_CASE__							)
 def a					(      self   :	List[Any]							)  ->    Tuple:
  __lowerCAmelCase											=						self._create_example_records()
  __lowerCAmelCase											=						Dataset.from_list(SCREAMING_SNAKE_CASE__							)
  self.assertListEqual(dset.column_names      ,       ["""col_1""", """col_2"""]							)
  for i, r in enumerate(SCREAMING_SNAKE_CASE__							):
   self.assertDictEqual(SCREAMING_SNAKE_CASE__      ,       example_records[i]							)
 def a					(      self   :	Tuple							)  ->    List[str]:
  __lowerCAmelCase											=						self._create_example_records()
  __lowerCAmelCase											=						Dataset.from_list(SCREAMING_SNAKE_CASE__							)
  __lowerCAmelCase											=						Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}							)
  self.assertEqual(dset.info      ,       dset_from_dict.info							)
 def a					(      self   :	List[str]							)  ->    List[str]:  # checks what happens with missing columns
  __lowerCAmelCase											=						[{"""col_1""": 1}, {"""col_2""": """x"""}]
  __lowerCAmelCase											=						Dataset.from_list(SCREAMING_SNAKE_CASE__							)
  self.assertDictEqual(dset[0]      ,       {"""col_1""": 1}							)
  self.assertDictEqual(dset[1]      ,       {"""col_1""": None}							)  # NB: first record is used for columns
 def a					(      self   :	Dict							)  ->    Optional[int]:  # checks if the type can be inferred from the second record
  __lowerCAmelCase											=						[{"""col_1""": []}, {"""col_1""": [1, 2]}]
  __lowerCAmelCase											=						Dataset.from_list(SCREAMING_SNAKE_CASE__							)
  self.assertEqual(dset.info.features["""col_1"""]      ,       Sequence(Value("""int64"""							)							)							)





 def a					(      self   :	Optional[Any]							)  ->    Tuple:
  __lowerCAmelCase											=						Dataset.from_list([]							)
  self.assertEqual(len(SCREAMING_SNAKE_CASE__							)      ,       0							)
  self.assertListEqual(dset.column_names      ,       []							)






