





import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
  import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin


@require_torch
class        UpperCamelCase_					(				unittest.TestCase	,      UpperCAmelCase__  ):

    '''simple docstring'''






    def  SCREAMING_SNAKE_CASE							(    self   :			List[str])		->Optional[Any]:





           '''simple docstring'''

           A__   				=					load_tool('''text-to-speech''')
           self.tool.setup()


    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->Dict:





           '''simple docstring'''

           torch.manual_seed(0)
           A__   				=					self.tool('''hey''')
           A__   				=					result.to_raw()
           self.assertTrue(
               torch.allclose(
                   resulting_tensor[:3]      ,				torch.tensor([-0.0005966668832115829, -0.0003657640190795064, -0.00013439502799883485])      ,				))





    def  SCREAMING_SNAKE_CASE							(    self   :			Optional[Any])		->Dict:





           '''simple docstring'''

           torch.manual_seed(0)
           A__   				=					self.tool('''hey''')
           A__   				=					result.to_raw()
           self.assertTrue(
               torch.allclose(
                   resulting_tensor[:3]      ,				torch.tensor([-0.0005966668832115829, -0.0003657640190795064, -0.00013439502799883485])      ,				))








from collections import namedtuple

import requests
from lxml import html  # type: ignore

_lowerCamelCase			:	Optional[int]							 =     namedtuple("""covid_data""", """cases deaths recovered""")







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



       """simple docstring"""

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


_lowerCamelCase			:	Optional[int]							 =     """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()))


