

from __future__ import annotations


class      lowerCamelCase_ :




 def __init__(			self  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  Union[str, Any]		=     value
   __UpperCAmelCase	:  Node | None		=     None
   __UpperCAmelCase	:  Node | None		=     None



class      lowerCamelCase_ :
 _lowerCAmelCase									=	42




 def __init__(			self							):
   __UpperCAmelCase	:  Union[str, Any]		=     0




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):

   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     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase = None							):

   if node is None:
     return 0
   if target is not None:
     __UpperCAmelCase	:  List[str]		=     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


A_			:Union[str, Any]	    =		{'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A_			:Optional[Any]	    =		[
							    '''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

							A_			:Tuple	    =		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

