





from __future__ import annotations

from random import random





class A_					:




   def __init__(self	:Any    ,   _UpperCamelCase	:int | None = None )->					List[Any]:
         __A          =				value
         __A          =				random()
         __A          =				None
         __A          =				None




   def __repr__(self	:Optional[Any] )->					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	:List[str] )->					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()












# 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


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


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__					:							Any													=     [
           '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

       snake_case__					:							List[str]													=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





