


from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info

def    lowercase_	(	_A    :					Any		):

      """simple docstring"""




      return {key.lstrip("-"		): value for key, value in zip(unknown_args[::2]					,      unknown_args[1::2]		)}

def    lowercase_	(	):

      """simple docstring"""




      lowerCamelCase__	:       Union[str, Any]					=						ArgumentParser(
          "HuggingFace Datasets CLI tool"					,      usage="datasets-cli <command> [<args>]"					,      allow_abbrev=_A		)
      lowerCamelCase__	:       Optional[Any]					=						parser.add_subparsers(help="datasets-cli command helpers"		)
      set_verbosity_info()

      # Register commands
      ConvertCommand.register_subcommand(_A		)
      EnvironmentCommand.register_subcommand(_A		)
      TestCommand.register_subcommand(_A		)
      RunBeamCommand.register_subcommand(_A		)
      DummyDataCommand.register_subcommand(_A		)

      # Parse args
      lowerCamelCase__					,     lowerCamelCase__	:       List[Any]					=						parser.parse_known_args()
      if not hasattr(_A					,      "func"		):
            parser.print_help()
            exit(1		)
      lowerCamelCase__	:       Tuple					=						parse_unknown_args(_A		)

      # Run
      lowerCamelCase__	:       Tuple					=						args.func(_A					,      **_A		)
      service.run()


if __name__ == "__main__":
    main()






import os
from pathlib import Path

def    lowercase_	(	):

      """simple docstring"""




      from torch.utils.cpp_extension import load

      lowerCamelCase__	:       Any					=						Path(_A		).resolve().parent.parent.parent / "kernels" / "deformable_detr"
      lowerCamelCase__	:       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


