



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  __lowerCAmelCase     (	unittest.TestCase  ,	lowerCAmelCase__   ):




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    __lowerCamelCase													=    load_tool('''text-to-speech'''				)
    self.tool.setup()




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    # SpeechT5 isn't deterministic
    torch.manual_seed(0				)
    __lowerCamelCase													=    self.tool('''hey'''				)
    __lowerCamelCase													=    result.to_raw()
    self.assertTrue(
        torch.allclose(
            resulting_tensor[:3]	,				torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485]				)	,				)				)




 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    # SpeechT5 isn't deterministic
    torch.manual_seed(0				)
    __lowerCamelCase													=    self.tool('''hey'''				)
    __lowerCamelCase													=    result.to_raw()
    self.assertTrue(
        torch.allclose(
            resulting_tensor[:3]	,				torch.tensor([-0.0_005_966_668_832_115_829, -0.0_003_657_640_190_795_064, -0.00_013_439_502_799_883_485]				)	,				)				)











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()))






