


import requests
from bsa import BeautifulSoup


def       UpperCAmelCase_					(   UpperCAmelCase__ = "https://www.worldometers.info/coronavirus"	):
					lowercase_					=      BeautifulSoup(requests.get(a_	).text    ,				"""html.parser"""	)
					lowercase_					=      soup.findAll("""h1"""	)
					lowercase_					=      soup.findAll("""div"""    ,				{"""class""": """maincounter-number"""}	)
					keys += soup.findAll("""span"""    ,				{"""class""": """panel-title"""}	)
					values += soup.findAll("""div"""    ,				{"""class""": """number-table-main"""}	)
					return {key.text.strip(): value.text.strip() for key, value in zip(a_    ,				a_	)}


if __name__ == "__main__":
							print('\033[1m' + 'COVID-19 Status of the World' + '\033[0m\n')
							for key, value in world_covidaa_stats().items():
														print(F'''{key}\n{value}\n''')










'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
      if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
      from .multicontrolnet import MultiControlNetModel
      from .pipeline_controlnet import StableDiffusionControlNetPipeline
      from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
      from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
      from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline






