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3784. Minimum Deletion Cost to Make All Characters Equal
Description
You are given a string s of length n and an integer array cost of the same length, where cost[i] is the cost to delete the ith character of s.
You may delete any number of characters from s (possibly none), such that the resulting string is non-empty and consists of equal characters.
Return an integer denoting the minimum total deletion cost required.
Example 1:
Input: s = "aabaac", cost = [1,2,3,4,1,10]
Output: 11
Explanation:
Deleting the characters at indices 0, 1, 2, 3, 4 results in the string "c", which consists of equal characters, and the total cost is cost[0] + cost[1] + cost[2] + cost[3] + cost[4] = 1 + 2 + 3 + 4 + 1 = 11.
Example 2:
Input: s = "abc", cost = [10,5,8]
Output: 13
Explanation:
Deleting the characters at indices 1 and 2 results in the string "a", which consists of equal characters, and the total cost is cost[1] + cost[2] = 5 + 8 = 13.
Example 3:
Input: s = "zzzzz", cost = [67,67,67,67,67]
Output: 0
Explanation:
All characters in s are equal, so the deletion cost is 0.
Constraints:
n == s.length == cost.length1 <= n <= 1051 <= cost[i] <= 109sconsists of lowercase English letters.
Solutions
Solution 1: Grouping + Enumeration
We calculate the total deletion cost for each character in the string and store it in a hash table $g$, where the key is the character and the value is the corresponding total deletion cost. We also calculate the total cost $\textit{tot}$ of deleting all characters.
Next, we iterate through the hash table $g$. For each character $c$, we calculate the minimum deletion cost required to keep that character, which is $\textit{tot} - g[c]$. The final answer is the minimum of all the minimum deletion costs corresponding to each character.
The time complexity is $O(n)$ and the space complexity is $O(|\Sigma|)$, where $n$ is the length of the string $s$, and $\Sigma$ is the set of distinct characters in the string.
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class Solution { public long minCost(String s, int[] cost) { long tot = 0; Map<Character, Long> g = new HashMap<>(26); for (int i = 0; i < cost.length; ++i) { tot += cost[i]; g.merge(s.charAt(i), (long) cost[i], Long::sum); } long ans = tot; for (long v : g.values()) { ans = Math.min(ans, tot - v); } return ans; } } -
class Solution { public: long long minCost(string s, vector<int>& cost) { long long tot = 0; unordered_map<char, long long> g; for (int i = 0; i < cost.size(); ++i) { tot += cost[i]; g[s[i]] += cost[i]; } long long ans = tot; for (auto [_, v] : g) { ans = min(ans, tot - v); } return ans; } }; -
class Solution: def minCost(self, s: str, cost: List[int]) -> int: tot = 0 g = defaultdict(int) for c, v in zip(s, cost): tot += v g[c] += v return min(tot - x for x in g.values()) -
func minCost(s string, cost []int) int64 { tot := int64(0) g := map[byte]int64{} for i, v := range cost { tot += int64(v) g[s[i]] += int64(v) } ans := tot for _, x := range g { ans = min(ans, tot-x) } return ans } -
function minCost(s: string, cost: number[]): number { let tot = 0; const g: Map<string, number> = new Map(); for (let i = 0; i < s.length; i++) { const c = s[i]; const v = cost[i]; tot += v; g.set(c, (g.get(c) ?? 0) + v); } let ans = tot; for (const x of g.values()) { ans = Math.min(ans, tot - x); } return ans; }