




# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

snake_case__      :	Dict       	=      """2.13.1"""

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse("""3.7"""):
 raise ImportWarning(
     """To use `datasets`, Python>=3.7 is required, and the current version of Python doesn\'t match this condition."""
 )

if version.parse(pyarrow.__version__).major < 8:
 raise ImportWarning(
     """To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn\'t match this condition.\n"""
     """If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`."""
 )

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

snake_case__      :	Optional[int]       	=      concatenate_datasets
snake_case__      :	List[Any]       	=      DownloadConfig
snake_case__      :	Optional[Any]       	=      DownloadManager
snake_case__      :	List[str]       	=      DownloadMode
snake_case__      :	Optional[int]       	=      DownloadConfig
snake_case__      :	int       	=      DownloadMode
snake_case__      :	List[str]       	=      DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager













import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


snake_case__      :	List[str]       	=      logging.get_logger(__name__)


class 						_a       (  UpperCAmelCase__    ):






  """simple docstring"""





  def __init__(     self		,		*_UpperCAmelCase		,		**_UpperCAmelCase )			-> None:
     warnings.warn(
         'The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
         ' Please use VideoMAEImageProcessor instead.'		,		_UpperCAmelCase		,		)
     super().__init__(*_UpperCAmelCase		,		**_UpperCAmelCase )





