




from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass


@dataclass
class     UpperCamelCase_   :

    '''simple docstring'''






    UpperCAmelCase__							  =				42
    UpperCAmelCase__							  =				None
    UpperCAmelCase__							  =				None
_lowerCamelCase     :		Optional[Any]								=       namedtuple("""CoinsDistribResult""", """moves excess""")







def SCREAMING_SNAKE_CASE    (	lowercase_						)       ->	int:



       """simple docstring"""

       if root is None:
              return 0

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

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

       def count_coins(lowercase_						) -> 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(lowercase_						) -> CoinsDistribResult:

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

              A__			,							A__							=   get_distrib(node.left						)
              A__			,							A__							=   get_distrib(node.right						)

              A__							=   1 - left_distrib_excess
              A__							=   1 - right_distrib_excess

              A__							=   (
                  left_distrib_moves
                  + right_distrib_moves
                  + abs(a_						)
                  + abs(a_						)
              )
              A__							=   node.data - coins_to_left - coins_to_right

              return CoinsDistribResult(a_			,    a_						)

       return get_distrib(a_						)[0]


if __name__ == "__main__":
  import doctest

  doctest.testmod()








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


_lowerCamelCase     :		Optional[Any]								=       {
    """configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TrOCRConfig"""],
    """processing_trocr""": ["""TrOCRProcessor"""],
}


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase     :		Any								=       [
      """TROCR_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """TrOCRForCausalLM""",
      """TrOCRPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
  from .processing_trocr import TrOCRProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
  import sys

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


