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花花酱 LeetCode 1541. Minimum Insertions to Balance a Parentheses String

Given a parentheses string s containing only the characters '(' and ')'. A parentheses string is balanced if:

  • Any left parenthesis '(' must have a corresponding two consecutive right parenthesis '))'.
  • Left parenthesis '(' must go before the corresponding two consecutive right parenthesis '))'.

For example, "())""())(())))" and "(())())))" are balanced, ")()""()))" and "(()))" are not balanced.

You can insert the characters ‘(‘ and ‘)’ at any position of the string to balance it if needed.

Return the minimum number of insertions needed to make s balanced.

Example 1:

Input: s = "(()))"
Output: 1
Explanation: The second '(' has two matching '))', but the first '(' has only ')' matching. We need to to add one more ')' at the end of the string to be "(())))" which is balanced.

Example 2:

Input: s = "())"
Output: 0
Explanation: The string is already balanced.

Example 3:

Input: s = "))())("
Output: 3
Explanation: Add '(' to match the first '))', Add '))' to match the last '('.

Example 4:

Input: s = "(((((("
Output: 12
Explanation: Add 12 ')' to balance the string.

Example 5:

Input: s = ")))))))"
Output: 5
Explanation: Add 4 '(' at the beginning of the string and one ')' at the end. The string becomes "(((())))))))".

Constraints:

  • 1 <= s.length <= 10^5
  • s consists of '(' and ')' only.

Solution: Counting

Count how many close parentheses we need.

  1. if s[i] is ‘)’, we decrease the counter.
    1. if counter becomes negative, means we need to insert ‘(‘
      1. increase ans by 1, increase the counter by 2, we need one more ‘)’
      2. ‘)’ -> ‘()’
  2. if s[i] is ‘(‘
    1. if we have an odd counter, means there is a unbalanced ‘)’ e.g. ‘(()(‘, counter is 3
      1. need to insert ‘)’, decrease counter, increase ans
      2. ‘(()(‘ -> ‘(())(‘, counter = 2
    2. increase counter by 2, each ‘(‘ needs two ‘)’s. ‘(())(‘ -> counter = 4
  3. Once done, if counter is greater than zero, we need insert that much ‘)s’
    1. counter = 5, ‘((()’ -> ‘((())))))’

Time complexity: O(n)
Space complexity: O(1)

C++

花花酱 LeetCode 1540. Can Convert String in K Moves

Given two strings s and t, your goal is to convert s into t in kmoves or less.

During the ith (1 <= i <= k) move you can:

  • Choose any index j (1-indexed) from s, such that 1 <= j <= s.length and j has not been chosen in any previous move, and shift the character at that index i times.
  • Do nothing.

Shifting a character means replacing it by the next letter in the alphabet (wrapping around so that 'z' becomes 'a'). Shifting a character by i means applying the shift operations i times.

Remember that any index j can be picked at most once.

Return true if it’s possible to convert s into t in no more than k moves, otherwise return false.

Example 1:

Input: s = "input", t = "ouput", k = 9
Output: true
Explanation: In the 6th move, we shift 'i' 6 times to get 'o'. And in the 7th move we shift 'n' to get 'u'.

Example 2:

Input: s = "abc", t = "bcd", k = 10
Output: false
Explanation: We need to shift each character in s one time to convert it into t. We can shift 'a' to 'b' during the 1st move. However, there is no way to shift the other characters in the remaining moves to obtain t from s.

Example 3:

Input: s = "aab", t = "bbb", k = 27
Output: true
Explanation: In the 1st move, we shift the first 'a' 1 time to get 'b'. In the 27th move, we shift the second 'a' 27 times to get 'b'.

Constraints:

  • 1 <= s.length, t.length <= 10^5
  • 0 <= k <= 10^9
  • st contain only lowercase English letters.

Solution: HashTable

Count how many times a d-shift has occurred.
a -> c is a 2-shift, z -> b is also 2-shift
a -> d is a 3-shift
a -> a is a 0-shift that we can skip
if a d-shift happened for the first time, we need at least d moves
However, if it happened for c times, we need at least d + 26 * c moves
e.g. we can do a 2-shift at the 2nd move, do another one at 2 + 26 = 28th move and do another at 2 + 26*2 = 54th move, and so on.
Need to find maximum move we need and make sure that one is <= k.
Since we can pick any index to shift, so the order doesn’t matter. We can start from left to right.

Time complexity: O(n)
Space complexity: O(26) = O(1)

C++

花花酱 LeetCode 1535. Find the Winner of an Array Game

Given an integer array arr of distinct integers and an integer k.

A game will be played between the first two elements of the array (i.e. arr[0] and arr[1]). In each round of the game, we compare arr[0] with arr[1], the larger integer wins and remains at position 0 and the smaller integer moves to the end of the array. The game ends when an integer wins k consecutive rounds.

Return the integer which will win the game.

It is guaranteed that there will be a winner of the game.

Example 1:

Input: arr = [2,1,3,5,4,6,7], k = 2
Output: 5
Explanation: Let's see the rounds of the game:
Round |       arr       | winner | win_count
  1   | [2,1,3,5,4,6,7] | 2      | 1
  2   | [2,3,5,4,6,7,1] | 3      | 1
  3   | [3,5,4,6,7,1,2] | 5      | 1
  4   | [5,4,6,7,1,2,3] | 5      | 2
So we can see that 4 rounds will be played and 5 is the winner because it wins 2 consecutive games.

Example 2:

Input: arr = [3,2,1], k = 10
Output: 3
Explanation: 3 will win the first 10 rounds consecutively.

Example 3:

Input: arr = [1,9,8,2,3,7,6,4,5], k = 7
Output: 9

Example 4:

Input: arr = [1,11,22,33,44,55,66,77,88,99], k = 1000000000
Output: 99

Constraints:

  • 2 <= arr.length <= 10^5
  • 1 <= arr[i] <= 10^6
  • arr contains distinct integers.
  • 1 <= k <= 10^9

Solution 1: Simulation with a List

Observation : if k >= n – 1, ans = max(arr)

Time complexity: O(n+k)
Space complexity: O(n)

C++

Solution 2: One pass

Since smaller numbers will be put to the end of the array, we must compare the rest of array before meeting those used numbers again. And the winner is monotonically increasing. So we can do it in one pass, just keep the largest number seen so far. If we reach to the end of the array, arr[0] will be max(arr) and it will always win no matter what k is.

Time complexity: O(n)
Space complexity: O(1)

C++

Java

Python3

花花酱 LeetCode 1513. Number of Substrings With Only 1s

Given a binary string s (a string consisting only of ‘0’ and ‘1’s).

Return the number of substrings with all characters 1’s.

Since the answer may be too large, return it modulo 10^9 + 7.

Example 1:

Input: s = "0110111"
Output: 9
Explanation: There are 9 substring in total with only 1's characters.
"1" -> 5 times.
"11" -> 3 times.
"111" -> 1 time.

Example 2:

Input: s = "101"
Output: 2
Explanation: Substring "1" is shown 2 times in s.

Example 3:

Input: s = "111111"
Output: 21
Explanation: Each substring contains only 1's characters.

Example 4:

Input: s = "000"
Output: 0

Constraints:

  • s[i] == '0' or s[i] == '1'
  • 1 <= s.length <= 10^5

Solution: DP / Prefix Sum

dp[i] := # of all 1 subarrays end with s[i].
dp[i] = dp[i-1] if s[i] == ‘1‘ else 0
ans = sum(dp)
s=1101
dp[0] = 1 // 1
dp[1] = 2 // 11, *1
dp[2] = 0 // None
dp[3] = 1 // ***1
ans = 1 + 2 + 1 = 5

Time complexity: O(n)
Space complexity: O(n)

C++

dp[i] only depends on dp[i-1], we can reduce the space complexity to O(1)

C++

Java

Python3


花花酱 LeetCode 1530. Number of Good Leaf Nodes Pairs

Given the root of a binary tree and an integer distance. A pair of two different leaf nodes of a binary tree is said to be good if the length of the shortest path between them is less than or equal to distance.

Return the number of good leaf node pairs in the tree.

Example 1:

Input: root = [1,2,3,null,4], distance = 3
Output: 1
Explanation: The leaf nodes of the tree are 3 and 4 and the length of the shortest path between them is 3. This is the only good pair.

Example 2:

Input: root = [1,2,3,4,5,6,7], distance = 3
Output: 2
Explanation: The good pairs are [4,5] and [6,7] with shortest path = 2. The pair [4,6] is not good because the length of ther shortest path between them is 4.

Example 3:

Input: root = [7,1,4,6,null,5,3,null,null,null,null,null,2], distance = 3
Output: 1
Explanation: The only good pair is [2,5].

Example 4:

Input: root = [100], distance = 1
Output: 0

Example 5:

Input: root = [1,1,1], distance = 2
Output: 1

Constraints:

  • The number of nodes in the tree is in the range [1, 2^10].
  • Each node’s value is between [1, 100].
  • 1 <= distance <= 10

Solution: Brute Force

Since n <= 1024, and distance <= 10, we can collect all leaf nodes and try all pairs.

Time complexity: O(|leaves|^2)
Space complexity: O(n)

C++

Solution 2: Post order traversal

For each node, compute the # of good leaf pair under itself.
1. count the frequency of leaf node at distance 1, 2, …, d for both left and right child.
2. ans += l[i] * r[j] (i + j <= distance) cartesian product
3. increase the distance by 1 for each leaf node when pop
Time complexity: O(n*D^2)
Space complexity: O(n)

C++

Java

Python3