Posts tagged as “hashtable”

花花酱 LeetCode 1679. Max Number of K-Sum Pairs

By zxi on December 6, 2020

You are given an integer array nums and an integer k.

In one operation, you can pick two numbers from the array whose sum equals k and remove them from the array.

Return the maximum number of operations you can perform on the array.

Example 1:

Input: nums = [1,2,3,4], k = 5
Output: 2
Explanation: Starting with nums = [1,2,3,4]:
- Remove numbers 1 and 4, then nums = [2,3]
- Remove numbers 2 and 3, then nums = []
There are no more pairs that sum up to 5, hence a total of 2 operations.

Example 2:

Input: nums = [3,1,3,4,3], k = 6
Output: 1
Explanation: Starting with nums = [3,1,3,4,3]:
- Remove the first two 3's, then nums = [1,4,3]
There are no more pairs that sum up to 6, hence a total of 1 operation.

Constraints:

1 <= nums.length <= 10⁵
1 <= nums[i] <= 10⁹
1 <= k <= 10⁹

Solution 1: Frequency Map

For each x, check freq[x] and freq[k – x]. Note: there is a special case when x + x == k.

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

C++

class Solution {

public:

int maxOperations(vector<int>& nums, int k) {

unordered_map<int, int> m;

int ans = 0;

for (int x : nums) ++m[x];

for (int x : nums) {

if (m[x] < 1 || m[k - x] < 1 + (x + x == k)) continue;

--m[x];

--m[k - x];

++ans;

}

return ans;

}

};

Python3

class Solution:

def maxOperations(self, nums: List[int], k: int) -> int:

m = defaultdict(int)

ans = 0

for x in nums: m[x] += 1

for x in nums:

if m[x] < 1 or m[k - x] < 1 + (x + x == k): continue

m[x] -= 1

m[k - x] -= 1

ans += 1

return ans

Solution 2: Two Pointers

Sort the number, start from i = 0, j = n – 1, compare s = nums[i] + nums[j] with k and move i, j accordingly.

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

C++

class Solution {

public:

int maxOperations(vector<int>& nums, int k) {

sort(begin(nums), end(nums));

int i = 0, j = nums.size() - 1;

int ans = 0;

while (i < j) {

const int s = nums[i] + nums[j];

if (s == k) {

++ans;

++i; --j;

} else if (s < k) {

++i;

} else {

--j;

}

return ans;

}

};

花花酱 LeetCode 1674. Minimum Moves to Make Array Complementary

By zxi on November 29, 2020

You are given an integer array nums of even length n and an integer limit. In one move, you can replace any integer from nums with another integer between 1 and limit, inclusive.

The array nums is complementary if for all indices i (0-indexed), nums[i] + nums[n - 1 - i] equals the same number. For example, the array [1,2,3,4] is complementary because for all indices i, nums[i] + nums[n - 1 - i] = 5.

Return the minimum number of moves required to make nums complementary.

Example 1:

Input: nums = [1,2,4,3], limit = 4
Output: 1
Explanation: In 1 move, you can change nums to [1,2,2,3] (underlined elements are changed).
nums[0] + nums[3] = 1 + 3 = 4.
nums[1] + nums[2] = 2 + 2 = 4.
nums[2] + nums[1] = 2 + 2 = 4.
nums[3] + nums[0] = 3 + 1 = 4.
Therefore, nums[i] + nums[n-1-i] = 4 for every i, so nums is complementary.

Example 2:

Input: nums = [1,2,2,1], limit = 2
Output: 2
Explanation: In 2 moves, you can change nums to [2,2,2,2]. You cannot change any number to 3 since 3 > limit.

Example 3:

Input: nums = [1,2,1,2], limit = 2
Output: 0
Explanation: nums is already complementary.

Constraints:

n == nums.length
2 <= n <= 10⁵
1 <= nums[i] <= limit <= 10⁵
n is even.

Solution: Sweep Line / Prefix Sum

Let a = min(nums[i], nums[n-i-1]), b = max(nums[i], nums[n-i-1])
The key to this problem is how many moves do we need to make a + b == T.

if 2 <= T < a + 1, two moves, lower both a and b.
if a +1 <= T < a + b, one move, lower b
if a + b == T, zero move
if a + b + 1 <= T < b + limit + 1, one move, increase a
if b + limit + 1 <= T <= 2*limit, two moves, increase both a and b.

Time complexity: O(n + limit) or O(nlogn) if limit >>n
Space complexity: O(limit) or O(n)

C++

// Author: Huahua

class Solution {

public:

int minMoves(vector<int>& nums, int limit) {

const int n = nums.size();

vector<int> delta(limit * 2 + 2);

for (int i = 0; i < n / 2; ++i) {

const int a = min(nums[i], nums[n - i - 1]);

const int b = max(nums[i], nums[n - i - 1]);

delta[2] += 2; // dec a, dec b

--delta[a + 1]; // dec a

--delta[a + b]; // no op

++delta[a + b + 1]; // inc a

++delta[b + limit + 1]; // inc a, inc b

}

int ans = n;

for (int t = 2, cur = 0; t <= limit * 2; ++t) {

cur += delta[t];

ans = min(ans, cur);

}

return ans;

}

};

花花酱 LeetCode 1658. Minimum Operations to Reduce X to Zero

By zxi on November 14, 2020

You are given an integer array nums and an integer x. In one operation, you can either remove the leftmost or the rightmost element from the array nums and subtract its value from x. Note that this modifies the array for future operations.

Return the minimum number of operations to reduce x to exactly 0 if it’s possible, otherwise, return -1.

Example 1:

Input: nums = [1,1,4,2,3], x = 5
Output: 2
Explanation: The optimal solution is to remove the last two elements to reduce x to zero.

Example 2:

Input: nums = [5,6,7,8,9], x = 4
Output: -1

Example 3:

Input: nums = [3,2,20,1,1,3], x = 10
Output: 5
Explanation: The optimal solution is to remove the last three elements and the first two elements (5 operations in total) to reduce x to zero.

Constraints:

1 <= nums.length <= 10⁵
1 <= nums[i] <= 10⁴
1 <= x <= 10⁹

Solution1: Prefix Sum + Hashtable

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

C++

// Author: Huahua

class Solution {

public:

int minOperations(vector<int>& nums, int x) {

const int n = nums.size();

vector<int> l(n), r(n);

unordered_map<int, int> ml, mr;

ml[0] = mr[0] = -1;

for (int i = 0; i < n; ++i) {

l[i] = nums[i] + (i > 0 ? l[i - 1] : 0);

r[i] = nums[n - i - 1] + (i > 0 ? r[i - 1]: 0);

ml[l[i]] = mr[r[i]] = i;

}

int ans = INT_MAX;

for (int i = 0; i < n; ++i) {

int s1 = x - l[i];

auto it1 = mr.find(s1);

if (it1 != mr.end()) ans = min(ans, i + 1 + it1->second + 1);

int s2 = x - r[i];

auto it2 = ml.find(s2);

if (it2 != ml.end()) ans = min(ans, i + 1 + it2->second + 1);

}

return ans > n ? -1 : ans;

}

};

Solution2: Sliding Window

Find the longest sliding window whose sum of elements equals sum(nums) – x
ans = n – window_size

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

C++

// Author: Huahua

class Solution {

public:

int minOperations(vector<int>& nums, int x) {

const int n = nums.size();

int target = accumulate(begin(nums), end(nums), 0) - x;

int ans = INT_MAX;

for (int s = 0, l = 0, r = 0; r < n; ++r) {

s += nums[r];

while (s > target && l <= r) s -= nums[l++];

if (s == target) ans = min(ans, n - (r - l + 1));

}

return ans > n ? -1 : ans;

}

};

花花酱 LeetCode 1657. Determine if Two Strings Are Close

By zxi on November 14, 2020

Two strings are considered close if you can attain one from the other using the following operations:

Operation 1: Swap any two existing characters.
- For example, abcde -> aecdb
Operation 2: Transform every occurrence of one existing character into another existing character, and do the same with the other character.
- For example, aacabb -> bbcbaa (all a‘s turn into b‘s, and all b‘s turn into a‘s)

You can use the operations on either string as many times as necessary.

Given two strings, word1 and word2, return true if word1 and word2 are close, and false otherwise.

Example 1:

Input: word1 = "abc", word2 = "bca"
Output: true
Explanation: You can attain word2 from word1 in 2 operations.
Apply Operation 1: "abc" -> "acb"
Apply Operation 1: "acb" -> "bca"

Example 2:

Input: word1 = "a", word2 = "aa"
Output: false
Explanation: It is impossible to attain word2 from word1, or vice versa, in any number of operations.

Example 3:

Input: word1 = "cabbba", word2 = "abbccc"
Output: true
Explanation: You can attain word2 from word1 in 3 operations.
Apply Operation 1: "cabbba" -> "caabbb"
Apply Operation 2: "caabbb" -> "baaccc"
Apply Operation 2: "baaccc" -> "abbccc"

Example 4:

Input: word1 = "cabbba", word2 = "aabbss"
Output: false
Explanation: It is impossible to attain word2 from word1, or vice versa, in any amount of operations.

Constraints:

1 <= word1.length, word2.length <= 10⁵
word1 and word2 contain only lowercase English letters.

Solution: Hashtable

Two strings are close:
1. Have the same length, ccabbb => 6 == aabccc => 6
2. Have the same char set, ccabbb => (a, b, c) == aabccc => (a, b, c)
3. Have the same sorted char counts ccabbb => (1, 2, 3) == aabccc => (1, 2, 3)

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

C++

// Author: Huahua

class Solution {

public:

bool closeStrings(string word1, string word2) {

const int l1 = word1.length();

const int l2 = word2.length();

if (l1 != l2) return false;

vector<int> f1(128), f2(128);

vector<int> s1(128), s2(128);

for (char c: word1) ++f1[c], s1[c] = 1;

for (char c: word2) ++f2[c], s2[c] = 1;

sort(begin(f1), end(f1));

sort(begin(f2), end(f2));

return f1 == f2 && s1 == s2;

}

};

Python3

# Author: Huahua

class Solution:

def closeStrings(self, word1: str, word2: str) -> bool:

c1, c2 = Counter(word1), Counter(word2)

return all([len(word1) == len(word2),

c1.keys() == c2.keys(),

sorted(c1.values()) == sorted(c2.values())])

花花酱 LeetCode 1647. Minimum Deletions to Make Character Frequencies Unique

By zxi on November 7, 2020

A string s is called good if there are no two different characters in s that have the same frequency.

Given a string s, return the minimum number of characters you need to delete to make s good.

The frequency of a character in a string is the number of times it appears in the string. For example, in the string "aab", the frequency of 'a' is 2, while the frequency of 'b' is 1.

Example 1:

Input: s = "aab"
Output: 0
Explanation: s is already good.

Example 2:

Input: s = "aaabbbcc"
Output: 2
Explanation: You can delete two 'b's resulting in the good string "aaabcc".
Another way it to delete one 'b' and one 'c' resulting in the good string "aaabbc".

Example 3:

Input: s = "ceabaacb"
Output: 2
Explanation: You can delete both 'c's resulting in the good string "eabaab".
Note that we only care about characters that are still in the string at the end (i.e. frequency of 0 is ignored).

Constraints:

1 <= s.length <= 10⁵
s contains only lowercase English letters.

Solution: Hashtable

The deletion order doesn’t matter, we can process from ‘a’ to ‘z’. Use a hashtable to store the “final frequency” so far, for each char, decrease its frequency until it becomes unique in the final frequency hashtable.

Time complexity: O(n + 26^2)
Space complexity: O(26)

C++

class Solution {

public:

int minDeletions(string s) {

vector<int> freq(26);

for (char c : s) ++freq[c - 'a'];

unordered_set<int> seen;

int ans = 0;

for (int f : freq) {

while (f && !seen.insert(f).second) {

--f;

++ans;

}

return ans;

}

};