


"""simple docstring"""




from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass





@dataclass
class __snake_case		:







   """simple docstring"""




   lowerCAmelCase_					: Any  						=      42
   lowerCAmelCase_					: Optional[int]  						=      None
   lowerCAmelCase_					: Optional[Any]  						=      None






__SCREAMING_SNAKE_CASE      		=    namedtuple("""CoinsDistribResult""", """moves excess""")



def     __a   (	a       ):





       """simple docstring"""







       if root is None:
              return 0

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

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

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

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

              _a							 =					get_distrib(node.left       )
              _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_torch_available


_lowerCAmelCase  :      Union[str, Any]			 ={
    """configuration_clap""": [
        """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ClapAudioConfig""",
        """ClapConfig""",
        """ClapTextConfig""",
    ],
    """processing_clap""": ["""ClapProcessor"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowerCAmelCase  :      Union[str, Any]			 =[
					    """CLAP_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """ClapModel""",
					    """ClapPreTrainedModel""",
					    """ClapTextModel""",
					    """ClapTextModelWithProjection""",
					    """ClapAudioModel""",
					    """ClapAudioModelWithProjection""",
					]
					_lowerCAmelCase  :      List[str]			 =["""ClapFeatureExtractor"""]

if TYPE_CHECKING:
					from .configuration_clap import (
					    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
					    ClapAudioConfig,
					    ClapConfig,
					    ClapTextConfig,
					)
					from .processing_clap import ClapProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_clap import ClapFeatureExtractor
										from .modeling_clap import (
										    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ClapAudioModel,
										    ClapAudioModelWithProjection,
										    ClapModel,
										    ClapPreTrainedModel,
										    ClapTextModel,
										    ClapTextModelWithProjection,
										)


else:
					import sys

					_lowerCAmelCase  :      Optional[int]			 =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)