

'''simple docstring'''






import random


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 __lowercase							  = a[left_index]
 __lowercase							  = left_index + 1
 for j in range(left_index + 1     ,				A__      ):
  if a[j] < pivot:
   __lowercase  ,	__lowercase							  = a[i], a[j]
   i += 1
 __lowercase  ,	__lowercase							  = a[i - 1], a[left_index]
 return i - 1


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



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


def 		_A     (    ):






 """simple docstring"""



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

 quick_sort_random(A__     ,				0     ,				len(A__      )      )

 print(A__      )


if __name__ == "__main__":
 main()




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:  Optional[int]   	=						{"""configuration_wavlm""": ["""WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """WavLMConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any   	=						[
						    """WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """WavLMForAudioFrameClassification""",
						    """WavLMForCTC""",
						    """WavLMForSequenceClassification""",
						    """WavLMForXVector""",
						    """WavLMModel""",
						    """WavLMPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

						lowerCAmelCase							:  Union[str, Any]   	=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






