


'''simple docstring'''






from __future__ import annotations

from random import random




class 	a       :
 def __init__(	self ,			__magic_name__ = None  )   ->							Any:
      _a      =							value
      _a      =							random()
      _a      =							None
      _a      =							None
 def __repr__(	self  )   ->							str:
      from pprint import pformat

      if self.left is None and self.right is None:
           return f'\'{self.value}: {self.prior:.5}\''
      else:
           return pformat(
               {f'{self.value}: {self.prior:.5}': (self.left, self.right)} ,			indent=1  )




 def __str__(	self  )   ->							str:
      _a      =							str(self.value  ) + ' '
      _a      =							str(self.left or ''  )
      _a      =							str(self.right or ''  )
      return value + left + right






def 		_A			(lowerCAmelCase__					:Node | None			,  lowerCAmelCase__					:int						)				->					tuple[Node | None, Node | None]:




     '''simple docstring'''



     if root is None:  # None tree is split into 2 Nones
          return None, None
     elif root.value is None:
          return None, None
     else:
          if value < root.value:
               _a ,				_a      =							split(root.left			,  lowerCAmelCase__						)
               return left, root
          else:
               _a ,				_a      =							split(root.right			,  lowerCAmelCase__						)
               return root, right






def 		_A			(lowerCAmelCase__					:Node | None			,  lowerCAmelCase__					:Node | None						)				->					Node | None:




     '''simple docstring'''



     if (not left) or (not right):  # If one node is None, return the other
          return left or right
     elif left.prior < right.prior:
          _a      =							merge(left.right			,  lowerCAmelCase__						)
          return left
     else:
          _a      =							merge(lowerCAmelCase__			,  right.left						)
          return right






def 		_A			(lowerCAmelCase__					:Node | None			,  lowerCAmelCase__					:int						)				->					Node | None:




     '''simple docstring'''



     _a      =							Node(lowerCAmelCase__						)
     _a ,				_a      =							split(lowerCAmelCase__			,  lowerCAmelCase__						)
     return merge(merge(lowerCAmelCase__			,  lowerCAmelCase__						)			,  lowerCAmelCase__						)






def 		_A			(lowerCAmelCase__					:Node | None			,  lowerCAmelCase__					:int						)				->					Node | None:




     '''simple docstring'''



     _a ,				_a      =							split(lowerCAmelCase__			,  value - 1						)
     _a ,				_a      =							split(lowerCAmelCase__			,  lowerCAmelCase__						)
     return merge(lowerCAmelCase__			,  lowerCAmelCase__						)






def 		_A			(lowerCAmelCase__					:Node | None						)				->					None:




     '''simple docstring'''



     if not root:  # None
          return
     else:
          inorder(root.left						)
          print(root.value			,  end=','						)
          inorder(root.right						)






def 		_A			(lowerCAmelCase__					:Node | None			,  lowerCAmelCase__					:str						)				->					Node | None:




     '''simple docstring'''



     for arg in args.split():
          if arg[0] == "+":
               _a      =							insert(lowerCAmelCase__			,  int(arg[1:]						)						)

          elif arg[0] == "-":
               _a      =							erase(lowerCAmelCase__			,  int(arg[1:]						)						)

          else:
               print('Unknown command'						)

     return root






def 		_A			()				->					None:




     '''simple docstring'''



     _a      =							None
     print(
         'enter numbers to create a tree, + value to add value into treap, '
         '- value to erase all nodes with value. \'q\' to quit. '						)

     _a      =							input()
     while args != "q":
          _a      =							interact_treap(lowerCAmelCase__			,  lowerCAmelCase__						)
          print(lowerCAmelCase__						)
          _a      =							input()

     print('good by!'						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


a_   :      Optional[int]				    =      {"configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig", "DeiTOnnxConfig"]}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_   :      Dict				    =      ["DeiTFeatureExtractor"]
 a_   :      List[Any]				    =      ["DeiTImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_   :      Tuple				    =      [
     "DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "DeiTForImageClassification",
     "DeiTForImageClassificationWithTeacher",
     "DeiTForMaskedImageModeling",
     "DeiTModel",
     "DeiTPreTrainedModel",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_   :      Optional[Any]				    =      [
     "TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "TFDeiTForImageClassification",
     "TFDeiTForImageClassificationWithTeacher",
     "TFDeiTForMaskedImageModeling",
     "TFDeiTModel",
     "TFDeiTPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_deit import DeiTFeatureExtractor
  from .image_processing_deit import DeiTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_deit import (
      DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      DeiTForImageClassification,
      DeiTForImageClassificationWithTeacher,
      DeiTForMaskedImageModeling,
      DeiTModel,
      DeiTPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_deit import (
      TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFDeiTForImageClassification,
      TFDeiTForImageClassificationWithTeacher,
      TFDeiTForMaskedImageModeling,
      TFDeiTModel,
      TFDeiTPreTrainedModel,
  )


else:
 import sys

 a_   :      List[Any]				    =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

