Given an integer array nums, return the number of longest increasing subsequences.
Notice that the sequence has to be strictly increasing.
Example 1:
**Input:** nums = [1,3,5,4,7]
**Output:** 2
**Explanation:** The two longest increasing subsequences are [1, 3, 4, 7] and [1, 3, 5, 7].
Example 2:
**Input:** nums = [2,2,2,2,2]
**Output:** 5
**Explanation:** The length of longest continuous increasing subsequence is 1, and there are 5 subsequences' length is 1, so output 5.
Constraints:
1 <= nums.length <= 2000
-106 <= nums[i] <= 106
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class Solution {
public int findNumberOfLIS(int[] nums) {
// edge cases
int maxLen = 0, maxCnt = 0, n = nums.length;
int[] dp = new int[n];
int[] cnt = new int[n];
Arrays.fill(dp, 1);
Arrays.fill(cnt, 1);
for (int i = 1; i < n; i++) {
for (int j = i - 1; j >= 0; j--) {
if (nums[j] >= nums[i]) continue; // skip, find smaller one
int len = dp[j] + 1;
if (len > dp[i]) {
dp[i] = len;
cnt[i] = cnt[j];
} else if (len == dp[i]) {
cnt[i] += cnt[j];
}
}
}
for (int i = 0; i < dp.length; i++) {
if (dp[i] > maxLen) {
maxLen = dp[i];
maxCnt = cnt[i];
} else if (dp[i] == maxLen) {
maxCnt += cnt[i];
}
}
return maxCnt;
}
}
/*
2 pass, int[] dp + int[] cnt, get length of each index, get maxLen from dp[]
*/