



def 	lowerCamelCase_   (  _a    :		str  ):



    '''simple docstring'''




    stooge(_lowercase					,						0					,						len(_lowercase  ) - 1  )
    return arr







def 	lowerCamelCase_   (  _a    :		Optional[int]					,						_a    :		int					,						_a    :		List[str]  ):



    '''simple docstring'''




    if i >= h:
        return

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

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

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

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

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


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

import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
    '''split_dict'''		,  [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train'''		,  num_bytes=1_337		,  num_examples=42		,  dataset_name='''my_dataset'''						)}						),
        SplitDict({'''train''': SplitInfo(name='''train'''		,  num_bytes=1_337		,  num_examples=42						)}						),
        SplitDict({'''train''': SplitInfo()}						),
    ]		,  )
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    Tuple							=							split_dict._to_yaml_list()
						assert len(_lowercase						) == len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Tuple							=							SplitDict._from_yaml_list(_lowercase						)
						for split_name, split_info in split_dict.items():
												# dataset_name field is deprecated, and is therefore not part of the YAML dump
												SCREAMING_SNAKE_CASE							:    Any							=							None
												# the split name of split_dict takes over the name of the split info object
												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							split_name
						assert split_dict == reloaded



@pytest.mark.parametrize(
    '''split_info'''		,  [SplitInfo(), SplitInfo(dataset_name=_lowercase						), SplitInfo(dataset_name='''my_dataset'''						)]						)
def       A	(    _lowercase						):
						# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
						# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
						SCREAMING_SNAKE_CASE							:    List[Any]							=							asdict(SplitDict({'''train''': split_info}						)						)
						assert "dataset_name" in split_dict_asdict["train"]
						assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name





