





import requests
from bsa import BeautifulSoup



def 	_a						(   UpperCAmelCase = "https://www.worldometers.info/coronavirus"					)    ->    List[Any]:







   """simple docstring"""
   lowerCamelCase__       :						Dict        =							BeautifulSoup(requests.get(__lowerCamelCase					).text      ,  '''html.parser'''					)
   lowerCamelCase__       :						Union[str, Any]        =							soup.findAll('''h1'''					)
   lowerCamelCase__       :						int        =							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(__lowerCamelCase      ,  __lowerCamelCase					)}


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''')










import os
from pathlib import Path



def 	_a						(   )    ->    Tuple:







   """simple docstring"""
   from torch.utils.cpp_extension import load

   lowerCamelCase__       :						List[Any]        =							Path(UpperCAmelCase					).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
   lowerCamelCase__       :						Any        =							[
       root / filename
       for filename in [
           '''vision.cpp''',
           os.path.join('''cpu'''      ,  '''ms_deform_attn_cpu.cpp'''					),
           os.path.join('''cuda'''      ,  '''ms_deform_attn_cuda.cu'''					),
       ]
   ]

   load(
       '''MultiScaleDeformableAttention'''      ,  UpperCAmelCase      ,  with_cuda=UpperCAmelCase      ,  extra_include_paths=[str(UpperCAmelCase					)]      ,  extra_cflags=['''-DWITH_CUDA=1''']      ,  extra_cuda_cflags=[
           '''-DCUDA_HAS_FP16=1''',
           '''-D__CUDA_NO_HALF_OPERATORS__''',
           '''-D__CUDA_NO_HALF_CONVERSIONS__''',
           '''-D__CUDA_NO_HALF2_OPERATORS__''',
       ]      ,  )

   import MultiScaleDeformableAttention as MSDA

   return MSDA



