






import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


__magic_name__:					str							=     logging.get_logger(__name__)





class 	snake_case__ (							_lowerCAmelCase				):
	def __init__(    self      ,       *lowerCAmelCase__      ,       **lowerCAmelCase__			)							->				None:
							warnings.warn(
							    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
							    """ use DonutImageProcessor instead."""      ,       lowerCAmelCase__      ,       )
							super().__init__(*lowerCAmelCase__      ,       **lowerCAmelCase__			)








import os
from pathlib import Path

def    UpperCamelCase						(	):






						"""simple docstring"""







						from torch.utils.cpp_extension import load

						__magic_name__      :       Dict       						= Path(_A			).resolve().parent.parent.parent / """kernels""" / """deformable_detr"""
						__magic_name__      :       Optional[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
