The "Longest Uncommon Subsequence I" problem asks you to compare two strings, a
and b
. An uncommon subsequence is defined as a string that is a subsequence of one string but not a subsequence of the other. Your task is to find the length of the longest such uncommon subsequence between a
and b
.
-1
.a
and b
are non-empty and can be up to 100 characters long.Key constraints: Only a single valid answer exists for each input pair, and you do not need to consider reusing elements or generating all possible subsequences.
Let's break down the problem logically before jumping into code. The core idea is to find a string that is a subsequence of one input but not the other, and to maximize its length. At first glance, you might think about generating all possible subsequences of both strings and comparing them, but this would be highly inefficient given the exponential number of subsequences.
Instead, consider what happens when the two strings are equal or different:
a
and b
are the same, every subsequence of a
is also a subsequence of b
(and vice versa). So, there is no uncommon subsequence.a
and b
are different, then the entire string a
is not a subsequence of b
(unless a
is contained within b
), and vice versa. So, the longer of the two strings is itself an uncommon subsequence.This leads us to a much simpler solution than brute-force: just compare the two strings directly.
Let's formalize the approach step-by-step:
a == b
, then no uncommon subsequence exists. Return -1
.a
or b
cannot possibly be a subsequence of the other, so its entire length is the answer.This approach is efficient because it avoids unnecessary computation and leverages the problem's constraints.
Let's consider a few sample cases:
a = "aba"
, b = "cdc"
a = "aaa"
, b = "aaa"
a = "abcd"
, b = "abc"
a
is 4, b
is 3.a
("abcd") is not a subsequence of b
("abc"), so 4 is the answer.In each step, we simply check equality and compare lengths, making the process straightforward.
Brute-force approach:
n
takes O(2^n)
time, which is infeasible for strings of length up to 100.O(n)
, where n
is the length of the strings.O(1)
.O(n)
O(1)
(no extra space used)Our solution is highly efficient and scalable for the given constraints.
The key insight for solving "Longest Uncommon Subsequence I" is recognizing that if two strings are not equal, the longer one cannot be a subsequence of the other. This allows us to avoid brute-force generation of subsequences and instead simply compare string equality and length. The result is an elegant and efficient solution that runs in linear time and constant space.
class Solution:
def findLUSlength(self, a: str, b: str) -> int:
if a == b:
return -1
else:
return max(len(a), len(b))
class Solution {
public:
int findLUSlength(string a, string b) {
if (a == b)
return -1;
else
return max(a.length(), b.length());
}
};
class Solution {
public int findLUSlength(String a, String b) {
if (a.equals(b)) {
return -1;
} else {
return Math.max(a.length(), b.length());
}
}
}
var findLUSlength = function(a, b) {
if (a === b) {
return -1;
} else {
return Math.max(a.length, b.length);
}
};