



import random





def 					__snake_case     (      _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    ):
    __a							=    a[left_index]
    __a							=    left_index + 1
    for j in range(left_index + 1       ,			_UpperCAmelCase    ):
        if a[j] < pivot:
            __a	,       __a							=    a[i], a[j]
            i += 1
    __a	,       __a							=    a[i - 1], a[left_index]
    return i - 1





def 					__snake_case     (      _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    ):
    if left < right:
        __a							=    random.randint(_UpperCAmelCase       ,			right - 1    )
        __a	,       __a							=    (
            a[left],
            a[pivot],
        )  # switches the pivot with the left most bound
        __a							=    partition(_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    )
        quick_sort_random(
            _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase    )  # recursive quicksort to the left of the pivot point
        quick_sort_random(
            _UpperCAmelCase       ,			pivot_index + 1       ,			_UpperCAmelCase    )  # recursive quicksort to the right of the pivot point





def 					__snake_case     (      ):
    __a							=    input('''Enter numbers separated by a comma:\n'''    ).strip()
    __a							=    [int(_UpperCAmelCase    ) for item in user_input.split(''','''    )]

    quick_sort_random(_UpperCAmelCase       ,			0       ,			len(_UpperCAmelCase    )    )

    print(_UpperCAmelCase    )


if __name__ == "__main__":
 main()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case						:Tuple						=					{
    '''configuration_luke''': ['''LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LukeConfig'''],
    '''tokenization_luke''': ['''LukeTokenizer'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __snake_case						:Optional[int]						=					[
     '''LUKE_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''LukeForEntityClassification''',
     '''LukeForEntityPairClassification''',
     '''LukeForEntitySpanClassification''',
     '''LukeForMultipleChoice''',
     '''LukeForQuestionAnswering''',
     '''LukeForSequenceClassification''',
     '''LukeForTokenClassification''',
     '''LukeForMaskedLM''',
     '''LukeModel''',
     '''LukePreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
 from .tokenization_luke import LukeTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_luke import (
      LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
      LukeForEntityClassification,
      LukeForEntityPairClassification,
      LukeForEntitySpanClassification,
      LukeForMaskedLM,
      LukeForMultipleChoice,
      LukeForQuestionAnswering,
      LukeForSequenceClassification,
      LukeForTokenClassification,
      LukeModel,
      LukePreTrainedModel,
  )

else:
 import sys

 __snake_case						:Dict						=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





