






'''simple docstring'''



import os
from pathlib import Path


def 							lowercase_				(    )       ->      str:



 """simple docstring"""




 from torch.utils.cpp_extension import load

 lowercase					:   Dict				  =Path(__A			).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
 lowercase					:   int				  =[
     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'''					,      __A					,      with_cuda=__A					,      extra_include_paths=[str(__A			)]					,      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











'''simple docstring'''



def 							lowercase_				(    __A :       int					,      __A :       int			)       ->      str:



 """simple docstring"""




 if number < 0 or shift_amount < 0:
  raise ValueError('''both inputs must be positive integers'''			)

 lowercase					:   List[Any]				  =str(bin(__A			)			)
 binary_number += "0" * shift_amount
 return binary_number


def 							lowercase_				(    __A :       int					,      __A :       int			)       ->      str:



 """simple docstring"""




 if number < 0 or shift_amount < 0:
  raise ValueError('''both inputs must be positive integers'''			)

 lowercase					:   Union[str, Any]				  =str(bin(__A			)			)[2:]
 if shift_amount >= len(__A			):
  return "0b0"
 lowercase					:   Any				  =binary_number[: len(__A			) - shift_amount]
 return "0b" + shifted_binary_number


def 							lowercase_				(    __A :       int					,      __A :       int			)       ->      str:



 """simple docstring"""




 if number >= 0:  # Get binary representation of positive number
  lowercase					:   str				  ='''0''' + str(bin(__A			)			).strip('''-'''			)[2:]
 else:  # Get binary (2's complement) representation of negative number
  lowercase					:   Dict				  =len(bin(__A			)[3:]			)  # Find 2's complement of number
  lowercase					:   Optional[Any]				  =bin(abs(__A			) - (1 << binary_number_length)			)[3:]
  lowercase					:   int				  =(
      '''1''' + '''0''' * (binary_number_length - len(__A			)) + binary_number
  )

 if shift_amount >= len(__A			):
  return "0b" + binary_number[0] * len(__A			)
 return (
     "0b"
     + binary_number[0] * shift_amount
     + binary_number[: len(__A			) - shift_amount]
 )


if __name__ == "__main__":
      import doctest

      doctest.testmod()



