


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

__SCREAMING_SNAKE_CASE							:      int						=      '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

__SCREAMING_SNAKE_CASE							:      Union[str, Any]						=      concatenate_datasets
__SCREAMING_SNAKE_CASE							:      Dict						=      DownloadConfig
__SCREAMING_SNAKE_CASE							:      List[Any]						=      DownloadManager
__SCREAMING_SNAKE_CASE							:      Tuple						=      DownloadMode
__SCREAMING_SNAKE_CASE							:      str						=      DownloadConfig
__SCREAMING_SNAKE_CASE							:      Optional[Any]						=      DownloadMode
__SCREAMING_SNAKE_CASE							:      List[str]						=      DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager







"""simple docstring"""
def   _a			( _SCREAMING_SNAKE_CASE			)      ->			int:
							assert column_title.isupper()
							snake_case_          =						0
							snake_case_          =						len(_SCREAMING_SNAKE_CASE			) - 1
							snake_case_          =						0

							while index >= 0:
														snake_case_          =						(ord(column_title[index]			) - 64) * pow(26			,	_SCREAMING_SNAKE_CASE			)
														answer += value
														power += 1
														index -= 1

							return answer


if __name__ == "__main__":
				from doctest import testmod

				testmod()



