




from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class     a__					(      snake_case__   ):






						def __init__(     self	,    _A	,    _A = None	,    _A = None	,    _A = True	,    _A = None	,    _A = False	,    _A = None	,    _A = True	,    _A = "arrow"	,    **_A	,    ):




											"""simple docstring"""



											super().__init__(
											    split=_A	,    features=_A	,    cache_dir=_A	,    keep_in_memory=_A	,    streaming=_A	,    **_A	,    )
											__lowerCAmelCase            = load_from_cache_file
											__lowerCAmelCase            = file_format
											__lowerCAmelCase            = Spark(
											    df=_A	,    features=_A	,    cache_dir=_A	,    working_dir=_A	,    **_A	,    )






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											if self.streaming:
																return self.builder.as_streaming_dataset(split=self.split    )
											__lowerCAmelCase            = None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
											self.builder.download_and_prepare(
											    download_mode=_A	,    file_format=self._file_format	,    )
											return self.builder.as_dataset(split=self.split    )










def 			_a   (		SCREAMING_SNAKE_CASE_							:       list[int]  ):
					__lowerCAmelCase            = len(SCREAMING_SNAKE_CASE_  )
					for i in range(SCREAMING_SNAKE_CASE_  ):
										for j in range(i + 1   ,   SCREAMING_SNAKE_CASE_  ):
															if numbers[j] < numbers[i]:
																				__lowerCAmelCase     ,							__lowerCAmelCase            = numbers[j], numbers[i]
					return numbers


if __name__ == "__main__":
					UpperCamelCase__					    =    input("""Enter numbers separated by a comma:\n""").strip()
					UpperCamelCase__					    =    [int(item) for item in user_input.split(""",""")]
					print(exchange_sort(unsorted))




