Problem
You are given a nested list of integers nestedList
. Each element is either an integer or a list whose elements may also be integers or other lists.
The depth of an integer is the number of lists that it is inside of. For example, the nested list [1 ,[2,2],[ [3],2],1 ]
has each integer’s value set to its depth. Let maxDepth
be the maximum depth of any integer.
The weight of an integer is maxDepth - (the depth of the integer) + 1
.
Return the sum of each integer in nestedList
multiplied by its weight.
Different from the previous question where weight is increasing from root to leaf, now the weight is defined from bottom up. i.e., the leaf level integers have weight 1, and the root level integers have the largest weight.
Examples
Example 1:
Input:[[1,1],2,[1,1]]
Output: 8
Explanation: Four 1's at depth 1, one 2 at depth 2.
elements | 1 | 1 | 2 | 1 | 1 | maxDepth | Sum of elements * depth |
---|---|---|---|---|---|---|---|
depths | 2 | 2 | 1 | 2 | 2 | 2 | |
weight | 1 | 1 | 2 | 1 | 1 | 1x1+1x1+2x2+1x1+1x1 = 8 |
Example 2:
Input: [1,[4,[ 6 ]]]
Output: 17
Explanation: One 1 at depth 3, one 4 at depth 2, and one 6 at depth 1; 1*3 + 4*2 + 6*1 = 17.
elements | 1 | 4 | 6 | maxDepth | Sum of elements * depth |
---|---|---|---|---|---|
depths | 1 | 2 | 3 | 3 | |
weight | 3 | 2 | 1 | 1x3 + 4x2 + 6x1 = 17 |
Solution
Method 1 - Recursion
Here are the steps:
- Calculate Maximum Depth:
- Traverse the nested list to determine the maximum depth of any integer.
- Compute Weighted Sum:
- Traverse the list again, and for each integer, compute the weighted sum by using the formula
weight = maxDepth - (depth of the integer) + 1
.
- Traverse the list again, and for each integer, compute the weighted sum by using the formula
Code
Java
Here is NestedInteger
interface:
// This is the interface that allows for creating nested lists.
// You should not implement it, or speculate about its implementation
public interface NestedInteger {
// Constructor initializes an empty nested list.
public NestedInteger();
// Constructor initializes a single integer.
public NestedInteger(int value);
// @return true if this NestedInteger holds a single integer, rather than a
// nested list.
public boolean isInteger();
// @return the single integer that this NestedInteger holds, if it holds a
// single integer Return null if this NestedInteger holds a nested list
public Integer getInteger();
// Set this NestedInteger to hold a single integer.
public void setInteger(int value);
// Set this NestedInteger to hold a nested list and adds a nested integer to
// it.
public void add(NestedInteger ni);
// @return the nested list that this NestedInteger holds, if it holds a
// nested list
// Return empty list if this NestedInteger holds a single integer
public List<NestedInteger> getList();
}
public class Solution {
public int findMaxDepth(List<NestedInteger> nestedList) {
int maxDepth = 1;
for (NestedInteger ni : nestedList) {
if (!ni.isInteger()) {
maxDepth = Math.max(maxDepth, 1 + findMaxDepth(ni.getList()));
}
}
return maxDepth;
}
public int weightedDepthSum(
List<NestedInteger> nestedList, int depth, int maxDepth) {
int total = 0;
for (NestedInteger ni : nestedList) {
if (ni.isInteger()) {
total += ni.getInteger() * (maxDepth - depth + 1);
} else {
total += weightedDepthSum(ni.getList(), depth + 1, maxDepth);
}
}
return total;
}
public int depthSumInverse(List<NestedInteger> nestedList) {
int maxDepth = findMaxDepth(nestedList);
return weightedDepthSum(nestedList, 1, maxDepth);
}
}
Python
Here is NestedInteger
class:
class NestedInteger:
def __init__(self, value=None):
"""
If value is not specified, initializes an empty list.
Otherwise initializes a single integer equal to value.
"""
def isInteger(self):
"""
@return True if this NestedInteger holds a single integer, rather than a nested list.
:rtype bool
"""
def add(self, elem):
"""
Set this NestedInteger to hold a nested list and adds a nested integer elem to it.
:rtype void
"""
def setInteger(self, value):
"""
Set this NestedInteger to hold a single integer equal to value.
:rtype void
"""
def getInteger(self):
"""
@return the single integer that this NestedInteger holds, if it holds a single integer
Return None if this NestedInteger holds a nested list
:rtype int
"""
def getList(self):
"""
@return the nested list that this NestedInteger holds, if it holds a nested list
Return None if this NestedInteger holds a single integer
:rtype List[NestedInteger]
"""
class Solution:
def findMaxDepth(self, nestedList):
maxDepth = 1
for element in nestedList:
if not element.isInteger():
maxDepth = max(
maxDepth, 1 + self.findMaxDepth(element.getList())
)
return maxDepth
def weightedDepthSum(self, nestedList, depth, maxDepth):
total = 0
for element in nestedList:
if element.isInteger():
total += element.getInteger() * (maxDepth - depth + 1)
else:
total += self.weightedDepthSum(
element.getList(), depth + 1, maxDepth
)
return total
def depthSumInverse(self, nestedList):
maxDepth = self.findMaxDepth(nestedList)
return self.weightedDepthSum(nestedList, 1, maxDepth)
Complexity
- Time:
O(n)
, wheren
is the total number of nested integers and lists. Each element is visited a constant number of times in bothfindMaxDepth
andweightedDepthSum
. - Space:
O(d)
, whered
is the maximum depth of the nested list. This accounts for the space used by the recursion stack.