import random
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							a[left_index]
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							left_index + 1
						for j in range(left_index + 1		,  _lowercase						):
												if a[j] < pivot:
																		SCREAMING_SNAKE_CASE				,  SCREAMING_SNAKE_CASE							:    int							=							a[i], a[j]
																		i += 1
						SCREAMING_SNAKE_CASE				,  SCREAMING_SNAKE_CASE							:    Tuple							=							a[i - 1], a[left_index]
						return i - 1
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						if left < right:
												SCREAMING_SNAKE_CASE							:    List[Any]							=							random.randint(_lowercase		,  right - 1						)
												SCREAMING_SNAKE_CASE				,  SCREAMING_SNAKE_CASE							:    Optional[Any]							=							(
												    a[left],
												    a[pivot],
												)  # switches the pivot with the left most bound
												SCREAMING_SNAKE_CASE							:    str							=							partition(_lowercase		,  _lowercase		,  _lowercase						)
												quick_sort_random(
												    _lowercase		,  _lowercase		,  _lowercase						)  # recursive quicksort to the left of the pivot point
												quick_sort_random(
												    _lowercase		,  pivot_index + 1		,  _lowercase						)  # recursive quicksort to the right of the pivot point
def       A	(    ):
						SCREAMING_SNAKE_CASE							:    Tuple							=							input('''Enter numbers separated by a comma:\n'''						).strip()
						SCREAMING_SNAKE_CASE							:    int							=							[int(_lowercase						) for item in user_input.split(''','''						)]

						quick_sort_random(_lowercase		,  0		,  len(_lowercase						)						)

						print(_lowercase						)


if __name__ == "__main__":
					main()






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





