📜  使用重叠条件从上到下压缩二叉树

📅  最后修改于: 2021-10-27 09:01:35             🧑  作者: Mango

给定一棵二叉树,任务是将同一条垂直线上的所有节点压缩成一个节点,如果垂直线上任何位置的所有节点的设置位计数大于此处的清除位计数那个位置,那么在那个位置的单个节点的位被设置。

例子:

方法:思想是遍历树并跟踪每个访问节点到根节点的水平距离。以下是步骤:

  • 一张地图 可用于将距根节点的水平距离作为存储,将节点的值存储为
  • 在映射中存储值后,检查每个位置的设置和非设置位的数量,并相应地计算值。

下面是上述方法的实现:

Python3
1
      \
       2
      /
     1
      \
       3


Javascript
1
     /   \
    3     2
   / \   /  \
  1   4 1    2


输出:
# Python3 program for the above approach
 
# Structure of a node
# of th tree
class TreeNode:
    def __init__(self, val ='', left = None, right = None):
        self.val = val
        self.left = left
        self.right = right
         
         
# Function to compress all the nodes
# on the same vertical line
def evalComp(arr):
     
     
    # Stores node by compressing all
    # nodes on the current vertical line
    ans = 0
     
    # Check if i-th bit of current bit
    # set or not
    getBit = 1
     
    # Iterate over the range [0, 31]
    for i in range(32):
         
        # Stores count of set bits
        # at i-th positions
        S = 0
         
         
        # Stores count of clear bits
        # at i-th positions
        NS = 0
 
         
        # Traverse the array
        for j in arr:
           
            # If i-th bit of current element
            # is set
            if getBit & j:
                 
                 
                # Update S
                S += 1
            else:
                 
                # Update NS
                NS += 1
                 
        # If count of set bits at i-th position
        # is greater than count of clear bits
        if S > NS:
             
            # Update ans
            ans += 2**i
             
        # Update getBit   
        getBit <<= 1
         
         
    print(ans, end = " ")
 
 
# Function to compress all the nodes on
# the same vertical line with a single node
# that satisfies the condition
def compressTree(root):
     
     
    # Map all the nodes on the same vertical line
    mp = {}
 
 
    # Function to traverse the tree and map
    # all the nodes of same vertical line
    # to vertical distance
    def Trav(root, hd):
        if not root:
            return
 
 
        # Storing the values in the map
        if hd not in mp:
            mp[hd] = [root.val]
        else:
            mp[hd].append(root.val)
 
 
        # Recursive calls on left and right subtree
        Trav(root.left, hd-1)
        Trav(root.right, hd + 1)
 
    Trav(root, 0)
 
 
    # Getting the range of
    # horizontal distances
    lower = min(mp.keys())
    upper = max(mp.keys())
 
 
    for i in range(lower, upper + 1):
        evalComp(mp[i])
 
# Driver Code
if __name__ == '__main__':
     
    root = TreeNode(5)
    root.left = TreeNode(3)
    root.right = TreeNode(2)
    root.left.left = TreeNode(1)
    root.left.right = TreeNode(4)
    root.right.left = TreeNode(1)
    root.right.right = TreeNode(2)
 
    # Function Call
    compressTree(root)

时间复杂度: O(N)
辅助空间: O(N)

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