





def _a (  SCREAMING_SNAKE_CASE__      :  Any       )	->    List[str]:

							'''simple docstring'''






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




def _a (  SCREAMING_SNAKE_CASE__      :  Optional[int]			,				SCREAMING_SNAKE_CASE__      :  Optional[int]			,				SCREAMING_SNAKE_CASE__      :  Union[str, Any]       )	->    int:

							'''simple docstring'''






							if i >= h:
														return

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

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

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

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

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


if __name__ == "__main__":
		_lowerCamelCase :    List[str]  							= input('''Enter numbers separated by a comma:\n''').strip()
		_lowerCamelCase :    Optional[int]  							= [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=13_37			,				num_examples=42			,				dataset_name="my_dataset"       )}       ),
        SplitDict({"train": SplitInfo(name="train"			,				num_bytes=13_37			,				num_examples=42       )}       ),
        SplitDict({"train": SplitInfo()}       ),
    ]			,				)
def _a (  SCREAMING_SNAKE_CASE__      :  SplitDict       )	->    str:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Dict     =						split_dict._to_yaml_list()
							assert len(SCREAMING_SNAKE_CASE__       ) == len(SCREAMING_SNAKE_CASE__       )
							SCREAMING_SNAKE_CASE__       :      List[Any]     =						SplitDict._from_yaml_list(SCREAMING_SNAKE_CASE__       )
							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__       :      str     =						None
														# the split name of split_dict takes over the name of the split info object
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						split_name
							assert split_dict == reloaded







@pytest.mark.parametrize(
    "split_info"			,				[SplitInfo(), SplitInfo(dataset_name=SCREAMING_SNAKE_CASE__       ), SplitInfo(dataset_name="my_dataset"       )]       )
def _a (  SCREAMING_SNAKE_CASE__      :  Any       )	->    Dict:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      str     =						asdict(SplitDict({"train": split_info}       )       )
							assert "dataset_name" in split_dict_asdict["train"]
							assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name






