





'''simple docstring'''

import os
from pathlib import Path





def 		UpperCamelCase							(				):
    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





'''simple docstring'''




import random







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    A,    A,    A			:  Any   =		[], [], []
    for element in data:
        if element < pivot:
            less.append(snake_case__		)
        elif element > pivot:
            greater.append(snake_case__		)
        else:
            equal.append(snake_case__		)
    return less, equal, greater







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    if index >= len(snake_case__		) or index < 0:
        return None

    A			:  List[Any]   =		items[random.randint(0						,							len(snake_case__		) - 1		)]
    A			:  Optional[int]   =		0
    A,    A,    A			:  Dict   =		_partition(snake_case__						,							snake_case__		)
    A			:  int   =		len(snake_case__		)
    A			:  List[Any]   =		len(snake_case__		)

    # index is the pivot
    if m <= index < m + count:
        return pivot
    # must be in smaller
    elif m > index:
        return quick_select(snake_case__						,							snake_case__		)
    # must be in larger
    else:
        return quick_select(snake_case__						,							index - (m + count)		)




