


"""simple docstring"""




import re
from pathlib import Path
from unittest import TestCase

import pytest




@pytest.mark.integration
class 			__snake_case   (lowerCAmelCase__  ):




							def   __a   (     self:    List[Any]     ,							A_:    List[Any]   ):

										with open(snake_case_     ,							encoding="""utf-8"""   ) as input_file:
													__lowerCamelCase          =      re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""   )
													__lowerCamelCase          =      input_file.read()
													__lowerCamelCase          =      regexp.search(snake_case_   )

										return match




							def   __a   (     self:    Dict     ,							A_:    Optional[int]   ):

										with open(snake_case_     ,							encoding="""utf-8"""   ) as input_file:
													__lowerCamelCase          =      re.compile(r"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""     ,							re.DOTALL   )
													__lowerCamelCase          =      input_file.read()
													# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
													__lowerCamelCase          =      regexp.finditer(snake_case_   )

										__lowerCamelCase          =      [match for match in matches if match is not None and match.group(1   ) is not None]
										return matches[0] if matches else None




							def   __a   (     self:    Any   ):
										__lowerCamelCase          =      Path("""./datasets"""   )
										__lowerCamelCase          =      list(dataset_paths.absolute().glob("""**/*.py"""   )   )

										for dataset in dataset_files:
													if self._no_encoding_on_file_open(str(snake_case_   )   ):
																raise AssertionError(f'open(...) must use utf-8 encoding in {dataset}'   )




							def   __a   (     self:    Tuple   ):
										__lowerCamelCase          =      Path("""./datasets"""   )
										__lowerCamelCase          =      list(dataset_paths.absolute().glob("""**/*.py"""   )   )

										for dataset in dataset_files:
													if self._no_print_statements(str(snake_case_   )   ):
																raise AssertionError(f'print statement found in {dataset}. Use datasets.logger/logging instead.'   )








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

a			:			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

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

del _arrow_dataset, _utils, _deprecated_download_manager


