





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,
)


UpperCamelCase__  			=pytest.mark.integration






@pytest.mark.parametrize("path",							["paws", "csv"]						)
def      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase						):
     inspect_dataset(__lowerCamelCase,							__lowerCamelCase						)
     _SCREAMING_SNAKE_CASE							:						List[str]         =				path + ".py"
     assert script_name in os.listdir(__lowerCamelCase						)
     assert "__pycache__" not in os.listdir(__lowerCamelCase						)






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






@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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						Dict         =				get_dataset_config_info(__lowerCamelCase,							config_name=__lowerCamelCase						)
     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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     with pytest.raises(__lowerCamelCase						):
          get_dataset_config_info(__lowerCamelCase,							config_name=__lowerCamelCase						)






@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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						str         =				get_dataset_config_names(__lowerCamelCase						)
     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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						Tuple         =				get_dataset_infos(__lowerCamelCase						)
     assert list(infos.keys()						) == expected_configs
     _SCREAMING_SNAKE_CASE							:						Optional[Any]         =				expected_configs[0]
     assert expected_config in infos
     _SCREAMING_SNAKE_CASE							:						List[Any]         =				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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     _SCREAMING_SNAKE_CASE							:						Tuple         =				get_dataset_infos(__lowerCamelCase						)
     assert expected_config in infos
     _SCREAMING_SNAKE_CASE							:						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      lowerCamelCase__      (__lowerCamelCase,							__lowerCamelCase,							__lowerCamelCase						):
     with pytest.raises(__lowerCamelCase						):
          get_dataset_split_names(__lowerCamelCase,							config_name=__lowerCamelCase						)
"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__			=    logging.get_logger(__name__)


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	List[Any]  				=				'timm_backbone'


    def __init__(       self						:	List[Any] ,					__lowerCAmelCase						:	str=None ,					__lowerCAmelCase						:	Optional[int]=3 ,					__lowerCAmelCase						:	Any=True ,					__lowerCAmelCase						:	Optional[int]=True ,					__lowerCAmelCase						:	Optional[Any]=None ,					**__lowerCAmelCase						:	Optional[Any] ,					):
      super().__init__(**__lowerCAmelCase       )
      _UpperCAmelCase    			=   backbone
      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   features_only
      _UpperCAmelCase    			=   use_pretrained_backbone
      _UpperCAmelCase    			=   True
      _UpperCAmelCase    			=   out_indices if out_indices is not None else (-1,)
