






"""simple docstring"""







import random

def _a			(		_snake_case				,	_snake_case				,	_snake_case							):







      """simple docstring"""






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

def _a			(		_snake_case				,	_snake_case				,	_snake_case							):







      """simple docstring"""






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

def _a			(		):







      """simple docstring"""






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

      quick_sort_random(_snake_case				,	0				,	len(_snake_case							)							)

      print(_snake_case							)


if __name__ == "__main__":
     main()











"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCamelCase					      =  {"""configuration_glpn""": ["""GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GLPNConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  ["""GLPNFeatureExtractor"""]
  _UpperCamelCase					      =  ["""GLPNImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _UpperCamelCase					      =  [
      """GLPN_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GLPNForDepthEstimation""",
      """GLPNLayer""",
      """GLPNModel""",
      """GLPNPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_glpn import GLPNFeatureExtractor
    from .image_processing_glpn import GLPNImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_glpn import (
        GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
        GLPNForDepthEstimation,
        GLPNLayer,
        GLPNModel,
        GLPNPreTrainedModel,
    )


else:
  import sys

  _UpperCamelCase					      =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



