

import requests
from bsa import BeautifulSoup





def      A__					(			__A  :						str = "https://www.worldometers.info/coronavirus"			)					->dict:
      __A    =BeautifulSoup(requests.get(__A			).text     ,				'''html.parser'''			)
      __A    =soup.findAll('''h1'''			)
      __A    =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""")





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


try:
   if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import (
       VersatileDiffusionDualGuidedPipeline,
       VersatileDiffusionImageVariationPipeline,
       VersatileDiffusionPipeline,
       VersatileDiffusionTextToImagePipeline,
   )
else:
   from .modeling_text_unet import UNetFlatConditionModel
   from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
   from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
   from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
   from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline


