

"""simple docstring"""



import random





def  _snake_case     (    UpperCAmelCase_  :					Tuple					,   UpperCAmelCase_  :					Optional[int]					,   UpperCAmelCase_  :					Tuple			):
     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_  :					str					,   UpperCAmelCase_  :					List[str]					,   UpperCAmelCase_  :					Optional[int]			):
     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()









"""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_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE_					:	List[str]							  =						{'configuration_mra': ['MRA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MraConfig']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_					:	List[Any]							  =						[
     'MRA_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MraForMaskedLM',
     'MraForMultipleChoice',
     'MraForQuestionAnswering',
     'MraForSequenceClassification',
     'MraForTokenClassification',
     'MraLayer',
     'MraModel',
     'MraPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mra import (
      MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
      MraForMaskedLM,
      MraForMultipleChoice,
      MraForQuestionAnswering,
      MraForSequenceClassification,
      MraForTokenClassification,
      MraLayer,
      MraModel,
      MraPreTrainedModel,
  )
else:
 import sys

 SCREAMING_SNAKE_CASE_					:	List[str]							  =						_LazyModule(__name__, globals()['__file__'], _import_structure)






