

"""simple docstring"""






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=1337      ,   num_examples=42      ,   dataset_name='''my_dataset'''						)}						),
        SplitDict({'''train''': SplitInfo(name='''train'''      ,   num_bytes=1337      ,   num_examples=42						)}						),
        SplitDict({'''train''': SplitInfo()}						),
    ]      ,   )
def 	lowercase      (   __UpperCamelCase						) ->      List[str]:
 __magic_name__     =      split_dict._to_yaml_list()
 assert len(__UpperCamelCase						) == len(__UpperCamelCase						)
 __magic_name__     =      SplitDict._from_yaml_list(__UpperCamelCase						)
 for split_name, split_info in split_dict.items():
  # dataset_name field is deprecated, and is therefore not part of the YAML dump
  __magic_name__     =      None
  # the split name of split_dict takes over the name of the split info object
  __magic_name__     =      split_name
 assert split_dict == reloaded





@pytest.mark.parametrize(
    '''split_info'''      ,   [SplitInfo(), SplitInfo(dataset_name=__UpperCamelCase						), SplitInfo(dataset_name='''my_dataset'''						)]						)
def 	lowercase      (   __UpperCamelCase						) ->      Tuple:
 # 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
 __magic_name__     =      asdict(SplitDict({'''train''': split_info}						)						)
 assert "dataset_name" in split_dict_asdict["train"]
 assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




"""simple docstring"""






from __future__ import annotations

from random import choice





def 	lowercase      (   __UpperCamelCase						) ->      Any:
 return choice(__UpperCamelCase						)





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      int:
 __magic_name__     =      random_pivot(__UpperCamelCase						)

 # partition based on pivot
 # linear time
 __magic_name__     =      [e for e in lst if e < pivot]
 __magic_name__     =      [e for e in lst if e > pivot]

 # if we get lucky, pivot might be the element we want.
 # we can easily see this:
 # small (elements smaller than k)
 # + pivot (kth element)
 # + big (elements larger than k)
 if len(__UpperCamelCase						) == k - 1:
  return pivot
 # pivot is in elements bigger than k
 elif len(__UpperCamelCase						) < k - 1:
  return kth_number(__UpperCamelCase      ,   k - len(__UpperCamelCase						) - 1						)
 # pivot is in elements smaller than k
 else:
  return kth_number(__UpperCamelCase      ,   __UpperCamelCase						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

