Python 在二叉树中检查叶子的路径 python 在叶子中给出数据

Question

假设我有这棵树：

                                     cough
                      Yes /                             No
                   sneezing                        sneezing
               Yes /        No                Yes /        No
             fever         fever               fever         fever
       Yes /     No    Yes/     No       Yes /     No    Yes/     No
       dead   cold   influenza   cold      dead   influenza cold   healthy

我希望通往疾病的路径"influenza"输出应该是这样的：

[[True,False,True],[False,True,False]]

如果你去根

的右边，它返回真(是(，如果你去左边它的假(否(

这是我一直在尝试为这个函数做的代码，但我做错了什么，它返回的不是我想要的。

def paths_to_illness(self, illness):
    head=self.__root
    new_list=[]
    new_list=diagnoser.get_path(head,illness)
    return new_list
def get_path(self,head,illness):
    if head is None:
        return []
    if (head.positive_child == None and head.negative_child==None):
        return [head.data]
    left_tree=diagnoser.get_path(head.negative_child,illness)
    right_tree=diagnoser.get_path(head.positive_child,illness)
    all_tree=left_tree+right_tree
    list1=[]
    for leaf in  all_tree:
        if illness == leaf:
            list1.append(["True"])
        else:
            list1.append(["False"])
    return list1

有什么想法可以帮助我修复我的代码吗？谢谢

对角线只是一个不重要的类，我的节点类有右边的"positive_child"和左

边的"negative_child"

如果还有其他不清楚的地方，请告诉我

谢谢！。

根据要求，我制作树的代码：

class Diagnoser:
def __init__(self, root):
    self.__root = root

class Node:
 def __init__(self, data="", pos=None, neg=None):
    self.data = data
    self.positive_child = pos
    self.negative_child = neg

leaf1 = Node("dead", None, None)
leaf2 = Node("cold", None, None)
fever1 = Node("fever", leaf1, leaf2)
leaf3 = Node("influenza", None, None)
leaf4 = Node("cold", None, None)
fever2 = Node("fever", leaf3, leaf4)
sneezing1 = Node("sneezing", fever1, fever2)
leaf5 = Node("dead", None, None)
leaf6 = Node("influenza", None, None)
fever3 = Node("fever", leaf5, leaf6)
leaf7 = Node("cold", None, None)
leaf8 = Node("healthy", None, None)
fever4 = Node("fever", leaf7, leaf8)
sneezing2 = Node("sneezing", fever3, fever4)
root = Node("cough", sneezing1, sneezing2)
diagnoser = Diagnoser(root)

Answer 1

这是我想到的

class Tree:
  def __init__(self, data, left=None, right=None):
    self.data = data
    self.left = left
    self.right = right
  @property
  def is_leaf(self):
    return not (self.left or self.right)
  def __repr__(self):
    return 'Tree({}, {}, {})'.format(self.data, self.left, self.right)
  def find(self, target, path_to=()):
    if self.is_leaf:
      if self.data == target:
        yield path_to
    else:
      if self.left:
        yield from self.left.find(target, (*path_to, True))
      if self.right:
        yield from self.right.find(target, (*path_to, False))
t = Tree('Cough', Tree('Sneezing', Tree('Fever', Tree('Dead'), Tree('Cold')), Tree('Fever', Tree('Influenza'), Tree('Cold'))), Tree('Sneezing', Tree('Fever', Tree('Dead'), Tree('Influenza')), Tree('Fever', Tree('Cold'), Tree('Healthy'))))
print(list(t.find('Influenza')))

通过将我们的find方法作为生成器，我们可以轻松地使用yield from将积极结果冒泡到调用堆栈中。 如果您使用的 Python 版本不支持参数解压缩(*path_to, True)，那么path_to + (True,)是等效

的

编辑：这是一个不使用的版本yield

def find(self, target, path_to=()):
  if self.is_leaf:
    if self.data == target:
      return [path_to]
    else:
      return []
  else:
    if self.left:
      l = self.left.find(target, (*path_to, True))
    if self.right:
      r = self.right.find(target, (*path_to, False))
    return l + r