



import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


A   :					Dict	=      pytest.mark.integration

@pytest.mark.parametrize("path"					,      ["paws", "csv"]		)
def    lowercase_	(	_A    :					Any					,      _A    :					List[str]		):

      """simple docstring"""




      inspect_dataset(_SCREAMING_SNAKE_CASE					,      _SCREAMING_SNAKE_CASE		)
      lowerCamelCase__	:       Optional[int]					=						path + ".py"
      assert script_name in os.listdir(_SCREAMING_SNAKE_CASE		)
      assert "__pycache__" not in os.listdir(_SCREAMING_SNAKE_CASE		)

@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"		)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"		)
@pytest.mark.parametrize("path"					,      ["accuracy"]		)
def    lowercase_	(	_A    :					List[str]					,      _A    :					List[Any]		):

      """simple docstring"""




      inspect_metric(_SCREAMING_SNAKE_CASE					,      _SCREAMING_SNAKE_CASE		)
      lowerCamelCase__	:       Optional[Any]					=						path + ".py"
      assert script_name in os.listdir(_SCREAMING_SNAKE_CASE		)
      assert "__pycache__" not in os.listdir(_SCREAMING_SNAKE_CASE		)

@pytest.mark.parametrize(
    "path, config_name, expected_splits"					,      [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]					,      )
def    lowercase_	(	_A    :					Any					,      _A    :					int					,      _A    :					Dict		):

      """simple docstring"""




      lowerCamelCase__	:       List[Any]					=						get_dataset_config_info(_SCREAMING_SNAKE_CASE					,      config_name=_SCREAMING_SNAKE_CASE		)
      assert info.config_name == config_name
      assert list(info.splits.keys()		) == expected_splits

@pytest.mark.parametrize(
    "path, config_name, expected_exception"					,      [
        ("paws", None, ValueError),
    ]					,      )
def    lowercase_	(	_A    :					Optional[Any]					,      _A    :					Union[str, Any]					,      _A    :					Any		):

      """simple docstring"""




      with pytest.raises(_SCREAMING_SNAKE_CASE		):
            get_dataset_config_info(_SCREAMING_SNAKE_CASE					,      config_name=_SCREAMING_SNAKE_CASE		)

@pytest.mark.parametrize(
    "path, expected"					,      [
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]					,      )
def    lowercase_	(	_A    :					int					,      _A    :					Tuple		):

      """simple docstring"""




      lowerCamelCase__	:       Dict					=						get_dataset_config_names(_SCREAMING_SNAKE_CASE		)
      assert expected in config_names

@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"					,      [
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]					,      )
def    lowercase_	(	_A    :					Optional[int]					,      _A    :					Optional[Any]					,      _A    :					Union[str, Any]		):

      """simple docstring"""




      lowerCamelCase__	:       Union[str, Any]					=						get_dataset_infos(_SCREAMING_SNAKE_CASE		)
      assert list(infos.keys()		) == expected_configs
      lowerCamelCase__	:       int					=						expected_configs[0]
      assert expected_config in infos
      lowerCamelCase__	:       List[str]					=						infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()		) == expected_splits_in_first_config

@pytest.mark.parametrize(
    "path, expected_config, expected_splits"					,      [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]					,      )
def    lowercase_	(	_A    :					Union[str, Any]					,      _A    :					int					,      _A    :					Dict		):

      """simple docstring"""




      lowerCamelCase__	:       List[str]					=						get_dataset_infos(_SCREAMING_SNAKE_CASE		)
      assert expected_config in infos
      lowerCamelCase__	:       List[str]					=						infos[expected_config]
      assert info.config_name == expected_config
      assert list(info.splits.keys()		) == expected_splits


@pytest.mark.parametrize(
    "path, config_name, expected_exception"					,      [
        ("paws", None, ValueError),
    ]					,      )
def    lowercase_	(	_A    :					List[Any]					,      _A    :					Union[str, Any]					,      _A    :					int		):

      """simple docstring"""




      with pytest.raises(_SCREAMING_SNAKE_CASE		):
            get_dataset_split_names(_SCREAMING_SNAKE_CASE					,      config_name=_SCREAMING_SNAKE_CASE		)






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


