
'''simple docstring'''







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

_lowercase :  str    							=       "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

_lowercase :  str    							=       concatenate_datasets
_lowercase :  Any    							=       DownloadConfig
_lowercase :  Tuple    							=       DownloadManager
_lowercase :  Dict    							=       DownloadMode
_lowercase :  Union[str, Any]    							=       DownloadConfig
_lowercase :  str    							=       DownloadMode
_lowercase :  Optional[int]    							=       DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager







"""simple docstring"""
# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
#   python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git won't be considered
# since the output of this script is fed into Makefile commands it doesn't print a newline after the results

import re
import subprocess
import sys


SCREAMING_SNAKE_CASE :    Union[str, Any]									=				subprocess.check_output("""git merge-base main HEAD""".split()).decode("""utf-8""")
SCREAMING_SNAKE_CASE :    Any									=				subprocess.check_output(F'git diff --name-only {fork_point_sha}'.split()).decode("""utf-8""").split()

SCREAMING_SNAKE_CASE :    Union[str, Any]									=				"""|""".join(sys.argv[1:])
SCREAMING_SNAKE_CASE :    int									=				re.compile(rF'^({joined_dirs}).*?\.py$')

SCREAMING_SNAKE_CASE :    str									=				[x for x in modified_files if regex.match(x)]
print(""" """.join(relevant_modified_files), end="""""")





