
'''simple docstring'''






def 		A_							(						_lowerCAmelCase :     list[int]					,						_lowerCAmelCase :     list[int]					,						_lowerCAmelCase :     int				):



      """simple docstring"""




      return not any(
          neighbour == 1 and colored_vertices[i] == color
          for i, neighbour in enumerate(_lowerCAmelCase				)				)







def 		A_							(						_lowerCAmelCase :     list[list[int]]					,						_lowerCAmelCase :     int					,						_lowerCAmelCase :     list[int]					,						_lowerCAmelCase :     int				):



      """simple docstring"""




      if index == len(_lowerCAmelCase				):
            return True

      # Recursive Step
      for i in range(_lowerCAmelCase				):
            if valid_coloring(graph[index]					,						_lowerCAmelCase					,						_lowerCAmelCase				):
                  # Color current vertex
                  _lowerCamelCase					: Dict		    = i
                  # Validate coloring
                  if util_color(_lowerCAmelCase					,						_lowerCAmelCase					,						_lowerCAmelCase					,						index + 1				):
                        return True
                  # Backtrack
                  _lowerCamelCase					: List[Any]		    = -1
      return False







def 		A_							(						_lowerCAmelCase :     list[list[int]]					,						_lowerCAmelCase :     int				):



      """simple docstring"""




      _lowerCamelCase					: Optional[int]		    = [-1] * len(_lowerCAmelCase				)

      if util_color(_lowerCAmelCase					,						_lowerCAmelCase					,						_lowerCAmelCase					,						0				):
            return colored_vertices

      return []
'''simple docstring'''






import os
from pathlib import Path





def  _SCREAMING_SNAKE_CASE		(      ):
     from torch.utils.cpp_extension import load

     _A    		=  Path(__snake_case				).resolve().parent.parent.parent / 'kernels' / 'deformable_detr'
     _A    		=  [
         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'   ,		__snake_case   ,		with_cuda=__snake_case   ,		extra_include_paths=[str(__snake_case				)]   ,		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



