




'''simple docstring'''







def 						snake_case_							(_a	:							int     ):
    stooge(_a    ,   0    ,   len(_a     ) - 1     )
    return arr





def 						snake_case_							(_a	:							Tuple    ,   _a	:							Optional[Any]    ,   _a	:							List[str]     ):
    if i >= h:
        return

    # If first element is smaller than the last then swap them
    if arr[i] > arr[h]:
        UpperCAmelCase       ,     UpperCAmelCase			       =		arr[h], arr[i]

    # If there are more than 2 elements in the array
    if h - i + 1 > 2:
        UpperCAmelCase			       =		(int)((h - i + 1) / 3     )

        # Recursively sort first 2/3 elements
        stooge(_a    ,   _a    ,   (h - t)     )

        # Recursively sort last 2/3 elements
        stooge(_a    ,   i + t    ,   (_a)     )

        # Recursively sort first 2/3 elements
        stooge(_a    ,   _a    ,   (h - t)     )


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











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 				__lowerCAmelCase       (    UpperCamelCase__):







      def __init__(    self		,      lowerCAmelCase__		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = True		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = False		,      lowerCAmelCase__ = None		,      lowerCAmelCase__ = True		,      lowerCAmelCase__ = "arrow"		,      **lowerCAmelCase__		,      )   ->						Optional[int]:



        '''simple docstring'''




        super().__init__(
            split=lowerCAmelCase__		,      features=lowerCAmelCase__		,      cache_dir=lowerCAmelCase__		,      keep_in_memory=lowerCAmelCase__		,      streaming=lowerCAmelCase__		,      **lowerCAmelCase__		,      )
        a__	:					int										=load_from_cache_file
        a__	:					Tuple										=file_format
        a__	:					List[Any]										=Spark(
            df=lowerCAmelCase__		,      features=lowerCAmelCase__		,      cache_dir=lowerCAmelCase__		,      working_dir=lowerCAmelCase__		,      **lowerCAmelCase__		,      )







      def    _lowercase  (    self							)   ->						str:



        '''simple docstring'''




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






