


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  UpperCAmelCase       (							__snake_case     ):




			def __init__(    self				:		int							,							__magic_name__				:		pyspark.sql.DataFrame							,							__magic_name__				:		Optional[NamedSplit] = None							,							__magic_name__				:		Optional[Features] = None							,							__magic_name__				:		bool = True							,							__magic_name__				:		str = None							,							__magic_name__				:		bool = False							,							__magic_name__				:		str = None							,							__magic_name__				:		bool = True							,							__magic_name__				:		str = "arrow"							,							**__magic_name__				:		List[str]							,							):







						"""simple docstring"""







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





			def 	lowerCamelCase_       (    self				:		Union[str, Any]    ):







						"""simple docstring"""







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






def  __lowerCamelCase					( _lowercase			)       ->      list:
     for i in range(len(_lowercase			) - 1						,     0						,     -1			):
          UpperCamelCase						    =					False

          for j in range(_lowercase						,     0						,     -1			):
               if unsorted[j] < unsorted[j - 1]:
                    UpperCamelCase    ,		UpperCamelCase						    =					unsorted[j - 1], unsorted[j]
                    UpperCamelCase						    =					True

          for j in range(_lowercase			):
               if unsorted[j] > unsorted[j + 1]:
                    UpperCamelCase    ,		UpperCamelCase						    =					unsorted[j + 1], unsorted[j]
                    UpperCamelCase						    =					True

          if not swapped:
               break
     return unsorted


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 _snake_case      = input('''Enter numbers separated by a comma:\n''').strip()
 _snake_case      = [int(item) for item in user_input.split(''',''')]
 print(F"{cocktail_shaker_sort(unsorted) = }")


