





from __future__ import annotations




class 				_lowerCamelCase :



      """simple docstring"""






      def __init__( self				,						UpperCAmelCase   )       ->   Optional[int]:






        '''simple docstring'''






        __snake_case   :				List[Any]        =       value
        __snake_case   :				Node | None        =       None
        __snake_case   :				Node | None        =       None




class 				_lowerCamelCase :



      """simple docstring"""






      UpperCAmelCase_						:      str       =42







      def __init__( self   )       ->   int:






        '''simple docstring'''






        __snake_case   :				Any        =       0







      def 						UpperCAmelCase		( self				,						UpperCAmelCase				,						UpperCAmelCase   )       ->   Any:






        '''simple docstring'''






        if node is None:
          return

        if path_sum == self.target:
          self.paths += 1

        if node.left:
          self.depth_first_search(node.left				,						path_sum + node.left.value   )
        if node.right:
          self.depth_first_search(node.right				,						path_sum + node.right.value   )







      def 						UpperCAmelCase		( self				,						UpperCAmelCase				,						UpperCAmelCase = None   )       ->   List[Any]:






        '''simple docstring'''






        if node is None:
          return 0
        if target is not None:
          __snake_case   :				List[Any]        =       target

        self.depth_first_search(_lowerCAmelCase				,						node.value   )
        self.path_sum(node.left   )
        self.path_sum(node.right   )

        return self.paths


if __name__ == "__main__":
     import doctest

     doctest.testmod()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCamelCase       = {'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase       = [
         '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''NatForImageClassification''',
         '''NatModel''',
         '''NatPreTrainedModel''',
         '''NatBackbone''',
     ]

if TYPE_CHECKING:
     from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_nat import (
              NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
              NatBackbone,
              NatForImageClassification,
              NatModel,
              NatPreTrainedModel,
          )

else:
     import sys

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

