





import random



def A_	(		A__		,      A__		,      A__				)  ->		Optional[Any]:
       a__						:	str =				a[left_index]
       a__						:	Optional[Any] =				left_index + 1
       for j in range(left_index + 1		,      A__				):
              if a[j] < pivot:
                     a__ ,							a__						:	Tuple =				a[i], a[j]
                     i += 1
       a__ ,							a__						:	Optional[Any] =				a[i - 1], a[left_index]
       return i - 1



def A_	(		A__		,      A__		,      A__				)  ->		Dict:
       if left < right:
              a__						:	Any =				random.randint(A__		,      right - 1				)
              a__ ,							a__						:	List[Any] =				(
                  a[left],
                  a[pivot],
              )  # switches the pivot with the left most bound
              a__						:	List[Any] =				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_	(		)  ->		Tuple:
       a__						:	str =				input('Enter numbers separated by a comma:\n'				).strip()
       a__						:	Optional[Any] =				[int(A__				) for item in user_input.split(','				)]

       quick_sort_random(A__		,      0		,      len(A__				)				)

       print(A__				)


if __name__ == "__main__":
    main()






'''simple docstring'''
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCamelCase__    					=      {
    '''configuration_vivit''': ['''VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VivitConfig'''],
}
try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    					=      ['''VivitImageProcessor''']


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    					=      [
      '''VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''VivitModel''',
      '''VivitPreTrainedModel''',
      '''VivitForVideoClassification''',
  ]


if TYPE_CHECKING:
  from .configuration_vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_vivit import VivitImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_vivit import (
        VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        VivitForVideoClassification,
        VivitModel,
        VivitPreTrainedModel,
    )


else:
  import sys

  UpperCamelCase__    					=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
