






'''simple docstring'''






from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass




@dataclass
class a_    :
   _snake_case        =							42
   _snake_case        =							None
   _snake_case        =							None


__A    	=   namedtuple('''CoinsDistribResult''', '''moves excess''')




def        _SCREAMING_SNAKE_CASE  (				A  :       TreeNode | None  )    -> int:







   """simple docstring"""

   if root is None:
      return 0

   # Validation
   def count_nodes(A  :       TreeNode | None  ) -> int:
      if node is None:
         return 0

      return count_nodes(node.left  ) + count_nodes(node.right  ) + 1

   def count_coins(A  :       TreeNode | None  ) -> int:
      if node is None:
         return 0

      return count_coins(node.left  ) + count_coins(node.right  ) + node.data

   if count_nodes(A  ) != count_coins(A  ):
      raise ValueError('The nodes number should be same as the number of coins'  )

   # Main calculation
   def get_distrib(A  :       TreeNode | None  ) -> CoinsDistribResult:

      if node is None:
         return CoinsDistribResult(0  ,		1  )

      __snake_case							,__snake_case				:      List[str]     							= get_distrib(node.left  )
      __snake_case							,__snake_case				:      Optional[int]     							= get_distrib(node.right  )

      __snake_case				:      Any     							= 1 - left_distrib_excess
      __snake_case				:      str     							= 1 - right_distrib_excess

      __snake_case				:      List[str]     							= (
          left_distrib_moves
          + right_distrib_moves
          + abs(A  )
          + abs(A  )
      )
      __snake_case				:      List[str]     							= node.data - coins_to_left - coins_to_right

      return CoinsDistribResult(A  ,		A  )

   return get_distrib(A  )[0]


if __name__ == "__main__":
      import doctest

      doctest.testmod()







'''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

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A    	=   {'''configuration_timm_backbone''': ['''TimmBackboneConfig''']}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __A    	=   ['''TimmBackbone''']


if TYPE_CHECKING:
      from .configuration_timm_backbone import TimmBackboneConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_timm_backbone import TimmBackbone

else:
      import sys

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