






from __future__ import annotations







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							list[int]  ,						snake_case_      :							int     ):
	if len(snake_case_     ) == 0:
		return False
	snake_case__				:   Dict     =						len(snake_case_     ) // 2
	if a_list[midpoint] == item:
		return True
	if item < a_list[midpoint]:
		return binary_search(a_list[:midpoint]  ,						snake_case_     )
	else:
		return binary_search(a_list[midpoint + 1 :]  ,						snake_case_     )


if __name__ == "__main__":
	__lowerCamelCase      :    str   		=   input("""Enter numbers separated by comma:\n""").strip()
	__lowerCamelCase      :    Optional[Any]   		=   [int(item.strip()) for item in user_input.split(""",""")]
	__lowerCamelCase      :    List[str]   		=   int(input("""Enter the number to be found in the list:\n""").strip())
	__lowerCamelCase      :    Tuple   		=   """""" if binary_search(sequence, target) else """not """
	print(f"{target} was {not_str}found in {sequence}")











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

__lowerCamelCase      :    Union[str, Any]   		=   """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

__lowerCamelCase      :    List[Any]   		=   concatenate_datasets
__lowerCamelCase      :    List[str]   		=   DownloadConfig
__lowerCamelCase      :    Union[str, Any]   		=   DownloadManager
__lowerCamelCase      :    str   		=   DownloadMode
__lowerCamelCase      :    Union[str, Any]   		=   DownloadConfig
__lowerCamelCase      :    List[str]   		=   DownloadMode
__lowerCamelCase      :    Dict   		=   DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager



