README_EN.md

comments	difficulty	edit_url	rating	source	tags
true	Hard	https://github.com/doocs/leetcode/edit/main/solution/3200-3299/3298.Count%20Substrings%20That%20Can%20Be%20Rearranged%20to%20Contain%20a%20String%20II/README_EN.md	1909	Weekly Contest 416 Q4	Hash Table String Sliding Window

3298. Count Substrings That Can Be Rearranged to Contain a String II

中文文档

Description

You are given two strings word1 and word2.

A string x is called valid if x can be rearranged to have word2 as a prefix.

Return the total number of valid substrings of word1.

Note that the memory limits in this problem are smaller than usual, so you must implement a solution with a linear runtime complexity.

 

Example 1:

Input: word1 = "bcca", word2 = "abc"

Output: 1

Explanation:

The only valid substring is "bcca" which can be rearranged to "abcc" having "abc" as a prefix.

Example 2:

Input: word1 = "abcabc", word2 = "abc"

Output: 10

Explanation:

All the substrings except substrings of size 1 and size 2 are valid.

Example 3:

Input: word1 = "abcabc", word2 = "aaabc"

Output: 0

 

Constraints:

• 1 <= word1.length <= 106
• 1 <= word2.length <= 104
• word1 and word2 consist only of lowercase English letters.

Solutions

Solution 1: Sliding Window

The problem is essentially to find how many substrings in $\textit{word1}$ contain all the characters in $\textit{word2}$. We can use a sliding window to handle this.

First, if the length of $\textit{word1}$ is less than the length of $\textit{word2}$, then it is impossible for $\textit{word1}$ to contain all the characters of $\textit{word2}$, so we directly return $0$.

Next, we use a hash table or an array of length $26$ called $\textit{cnt}$ to count the occurrences of characters in $\textit{word2}$. Then, we use $\textit{need}$ to record how many more characters are needed to meet the condition, initialized to the length of $\textit{cnt}$.

We then use a sliding window $\textit{win}$ to record the occurrences of characters in the current window. We use $\textit{ans}$ to record the number of substrings that meet the condition, and $\textit{l}$ to record the left boundary of the window.

We traverse each character in $\textit{word1}$. For the current character $c$, we add it to $\textit{win}$. If the value of $\textit{win}[c]$ equals $\textit{cnt}[c]$, it means the current window already contains one of the characters in $\textit{word2}$, so we decrement $\textit{need}$ by one. If $\textit{need}$ equals $0$, it means the current window contains all the characters in $\textit{word2}$. We need to shrink the left boundary of the window until $\textit{need}$ is greater than $0$. Specifically, if $\textit{win}[\textit{word1}[l]]$ equals $\textit{cnt}[\textit{word1}[l]]$, it means the current window contains one of the characters in $\textit{word2}$. After shrinking the left boundary, it no longer meets the condition, so we increment $\textit{need}$ by one and decrement $\textit{win}[\textit{word1}[l]]$ by one. Then, we increment $\textit{l}$ by one. At this point, the window is $[l, r]$. For any $0 \leq l' < l$, $[l', r]$ are substrings that meet the condition, and there are $l$ such substrings, which we add to the answer.

After traversing all characters in $\textit{word1}$, we get the answer.

The time complexity is $O(n + m)$, where $n$ and $m$ are the lengths of $\textit{word1}$ and $\textit{word2}$, respectively. The space complexity is $O(|\Sigma|)$, where $\Sigma$ is the character set. Here, it is the set of lowercase letters, so the space complexity is constant.

Python3

class Solution:
    def validSubstringCount(self, word1: str, word2: str) -> int:
        if len(word1) < len(word2):
            return 0
        cnt = Counter(word2)
        need = len(cnt)
        ans = l = 0
        win = Counter()
        for c in word1:
            win[c] += 1
            if win[c] == cnt[c]:
                need -= 1
            while need == 0:
                if win[word1[l]] == cnt[word1[l]]:
                    need += 1
                win[word1[l]] -= 1
                l += 1
            ans += l
        return ans

Java

class Solution {
    public long validSubstringCount(String word1, String word2) {
        if (word1.length() < word2.length()) {
            return 0;
        }
        int[] cnt = new int[26];
        int need = 0;
        for (int i = 0; i < word2.length(); ++i) {
            if (++cnt[word2.charAt(i) - 'a'] == 1) {
                ++need;
            }
        }
        long ans = 0;
        int[] win = new int[26];
        for (int l = 0, r = 0; r < word1.length(); ++r) {
            int c = word1.charAt(r) - 'a';
            if (++win[c] == cnt[c]) {
                --need;
            }
            while (need == 0) {
                c = word1.charAt(l) - 'a';
                if (win[c] == cnt[c]) {
                    ++need;
                }
                --win[c];
                ++l;
            }
            ans += l;
        }
        return ans;
    }
}

C++

class Solution {
public:
    long long validSubstringCount(string word1, string word2) {
        if (word1.size() < word2.size()) {
            return 0;
        }
        int cnt[26]{};
        int need = 0;
        for (char& c : word2) {
            if (++cnt[c - 'a'] == 1) {
                ++need;
            }
        }
        long long ans = 0;
        int win[26]{};
        int l = 0;
        for (char& c : word1) {
            int i = c - 'a';
            if (++win[i] == cnt[i]) {
                --need;
            }
            while (need == 0) {
                i = word1[l] - 'a';
                if (win[i] == cnt[i]) {
                    ++need;
                }
                --win[i];
                ++l;
            }
            ans += l;
        }
        return ans;
    }
};

Go

func validSubstringCount(word1 string, word2 string) (ans int64) {
	if len(word1) < len(word2) {
		return 0
	}
	cnt := [26]int{}
	need := 0
	for _, c := range word2 {
		cnt[c-'a']++
		if cnt[c-'a'] == 1 {
			need++
		}
	}
	win := [26]int{}
	l := 0
	for _, c := range word1 {
		i := int(c - 'a')
		win[i]++
		if win[i] == cnt[i] {
			need--
		}
		for need == 0 {
			i = int(word1[l] - 'a')
			if win[i] == cnt[i] {
				need++
			}
			win[i]--
			l++
		}
		ans += int64(l)
	}
	return
}

TypeScript

function validSubstringCount(word1: string, word2: string): number {
    if (word1.length < word2.length) {
        return 0;
    }
    const cnt: number[] = Array(26).fill(0);
    let need: number = 0;
    for (const c of word2) {
        if (++cnt[c.charCodeAt(0) - 97] === 1) {
            ++need;
        }
    }
    const win: number[] = Array(26).fill(0);
    let [ans, l] = [0, 0];
    for (const c of word1) {
        const i = c.charCodeAt(0) - 97;
        if (++win[i] === cnt[i]) {
            --need;
        }
        while (need === 0) {
            const j = word1[l].charCodeAt(0) - 97;
            if (win[j] === cnt[j]) {
                ++need;
            }
            --win[j];
            ++l;
        }
        ans += l;
    }
    return ans;
}