LeetCode 3036: Number of Subarrays That Match a Pattern II Solution
Master LeetCode problem 3036 (Number of Subarrays That Match a Pattern II), a hard challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
3036. Number of Subarrays That Match a Pattern II
Problem Explanation
Explanation:
To solve this problem, we can iterate over the array nums and for each starting index i, check if the subarray starting at i matches the given pattern. We can compare the elements based on the pattern conditions, incrementing a count whenever we find a matching subarray.
- Initialize a variable
countto keep track of the number of subarrays that match the pattern. - Iterate over the array
numsup ton - m, wheremis the size of the pattern. - For each starting index
i, check if the subarray starting atimatches the pattern by comparing elements based on the pattern conditions. - Increment
countwhenever a matching subarray is found. - Return the final
countas the result.
Time Complexity: O(n) where n is the size of the array nums. We iterate through the array once.
Space Complexity: O(1) as we are using only a constant amount of extra space.
:
Solution Code
class Solution {
public int numOfSubarrays(int[] nums, int[] pattern) {
int n = nums.length;
int m = pattern.length;
int count = 0;
for (int i = 0; i <= n - m; i++) {
boolean isMatch = true;
for (int j = 0; j < m; j++) {
if (pattern[j] == 1 && nums[i + j + 1] <= nums[i + j]) {
isMatch = false;
break;
}
if (pattern[j] == 0 && nums[i + j + 1] != nums[i + j]) {
isMatch = false;
break;
}
if (pattern[j] == -1 && nums[i + j + 1] >= nums[i + j]) {
isMatch = false;
break;
}
}
if (isMatch) {
count++;
}
}
return count;
}
}Try It Yourself
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