"""simple docstring"""



import os
from pathlib import Path





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

     __snake_case				=							Path(snake_case).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
     __snake_case				=							[
         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"""



from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate



@dataclass(frozen=_UpperCAmelCase					)
class      _A	(						_UpperCAmelCase					):




    """simple docstring"""




    UpperCamelCase_	:					str							=					field(default='''summarization'''							, metadata={'''include_in_asdict_even_if_is_default''': True}					)
    UpperCamelCase_	:					ClassVar[Features]							=					Features({'''text''': Value('''string'''					)}					)
    UpperCamelCase_	:					ClassVar[Features]							=					Features({'''summary''': Value('''string'''					)}					)
    UpperCamelCase_	:					str							=					"text"
    UpperCamelCase_	:					str							=					"summary"
    @property
    def  lowercase					(		self							:     List[Any]    )    ->       Dict[str, str]:
         return {self.text_column: "text", self.summary_column: "summary"}