





'''simple docstring'''


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass
@dataclass
class 				a_       :
     __A								=      42
     __A								=      None
     __A								=      None







lowerCAmelCase :					Dict 							=namedtuple('''CoinsDistribResult''', '''moves excess''')
def 							UpperCAmelCase_  (						__lowerCamelCase : TreeNode | None			):

   if root is None:
      return 0

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

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

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

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

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

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

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

      lowercase_      ,							lowercase_      :Tuple         =			get_distrib(node.left			)
      lowercase_      ,							lowercase_      :Tuple         =			get_distrib(node.right			)

      lowercase_      :List[str]         =			1 - left_distrib_excess
      lowercase_      :Dict         =			1 - right_distrib_excess

      lowercase_      :Optional[Any]         =			(
          left_distrib_moves
          + right_distrib_moves
          + abs(__lowerCamelCase			)
          + abs(__lowerCamelCase			)
      )
      lowercase_      :Any         =			node.data - coins_to_left - coins_to_right

      return CoinsDistribResult(__lowerCamelCase     ,__lowerCamelCase			)

   return get_distrib(__lowerCamelCase			)[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


lowerCAmelCase :					Dict 							={
    '''configuration_xmod''': [
        '''XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''XmodConfig''',
        '''XmodOnnxConfig''',
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase :					Union[str, Any] 							=[
     '''XMOD_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''XmodForCausalLM''',
     '''XmodForMaskedLM''',
     '''XmodForMultipleChoice''',
     '''XmodForQuestionAnswering''',
     '''XmodForSequenceClassification''',
     '''XmodForTokenClassification''',
     '''XmodModel''',
     '''XmodPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_xmod import (
      XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
      XmodForCausalLM,
      XmodForMaskedLM,
      XmodForMultipleChoice,
      XmodForQuestionAnswering,
      XmodForSequenceClassification,
      XmodForTokenClassification,
      XmodModel,
      XmodPreTrainedModel,
  )

else:
 import sys

 lowerCAmelCase :					Optional[Any] 							=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


