LeetCode 2559. Count Vowel Strings in Ranges Solution in Java, C++, Python & More | Explanation + Code

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2559. Count Vowel Strings in Ranges

Description

You are given a 0-indexed array of strings words and a 2D array of integers queries.

Each query queries[i] = [li, ri] asks us to find the number of strings present at the indices ranging from li to ri (both inclusive) of words that start and end with a vowel.

Return an array ans of size queries.length, where ans[i] is the answer to the ith query.

Note that the vowel letters are 'a', 'e', 'i', 'o', and 'u'.

 

Example 1:

Input: words = ["aba","bcb","ece","aa","e"], queries = [[0,2],[1,4],[1,1]]
Output: [2,3,0]
Explanation: The strings starting and ending with a vowel are "aba", "ece", "aa" and "e".
The answer to the query [0,2] is 2 (strings "aba" and "ece").
to query [1,4] is 3 (strings "ece", "aa", "e").
to query [1,1] is 0.
We return [2,3,0].

Example 2:

Input: words = ["a","e","i"], queries = [[0,2],[0,1],[2,2]]
Output: [3,2,1]
Explanation: Every string satisfies the conditions, so we return [3,2,1].

 

Constraints:

  • 1 <= words.length <= 105
  • 1 <= words[i].length <= 40
  • words[i] consists only of lowercase English letters.
  • sum(words[i].length) <= 3 * 105
  • 1 <= queries.length <= 105
  • 0 <= li <= ri < words.length

Solutions

Solution 1: Preprocessing + Binary Search

We can preprocess all the indices of the strings that start and end with a vowel, and record them in order in the array nums.

Next, we iterate through each query (l, r), and use binary search to find the first index i in nums that is greater than or equal to l, and the first index j that is greater than r. Therefore, the answer to the current query is j - i.

The time complexity is O(n + m × log n), and the space complexity is O(n). Where n and m are the lengths of the arrays words and queries, respectively.

PythonJavaC++GoTypeScript
class Solution: def vowelStrings(self, words: List[str], queries: List[List[int]]) -> List[int]: vowels = set("aeiou") nums = [i for i, w in enumerate(words) if w[0] in vowels and w[-1] in vowels] return [bisect_right(nums, r) - bisect_left(nums, l) for l, r in queries](code-box)

Solution 2: Prefix Sum

We can create a prefix sum array s of length n+1, where s[i] represents the number of strings that start and end with a vowel in the first i strings of the array words. Initially, s[0] = 0.

Next, we iterate through the array words. If the current string starts and ends with a vowel, then s[i+1] = s[i] + 1, otherwise s[i+1] = s[i].

Finally, we iterate through each query (l, r). Therefore, the answer to the current query is s[r+1] - s[l].

The time complexity is O(n + m), and the space complexity is O(n). Where n and m are the lengths of the arrays words and queries, respectively.

PythonJavaC++GoTypeScriptJavaScript
class Solution: def vowelStrings(self, words: List[str], queries: List[List[int]]) -> List[int]: vowels = set("aeiou") s = list( accumulate( (int(w[0] in vowels and w[-1] in vowels) for w in words), initial=0 ) ) return [s[r + 1] - s[l] for l, r in queries](code-box)

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