Description
You are given an array of strings arr. A string s is formed by the concatenation of a subsequence of arr that has unique characters.
Return the maximum possible length of s.
A subsequence is an array that can be derived from another array by deleting some or no elements without changing the order of the remaining elements.
Example 1:
Input: arr = ["un","iq","ue"]
Output: 4
Explanation: All the valid concatenations are:
- ""
- "un"
- "iq"
- "ue"
- "uniq" ("un" + "iq")
- "ique" ("iq" + "ue")
Maximum length is 4.
Example 2:
Input: arr = ["cha","r","act","ers"]
Output: 6
Explanation: Possible longest valid concatenations are "chaers" ("cha" + "ers") and "acters" ("act" + "ers").
Example 3:
Input: arr = ["abcdefghijklmnopqrstuvwxyz"] Output: 26 Explanation: The only string in arr has all 26 characters.
Constraints:
1 <= arr.length <= 161 <= arr[i].length <= 26arr[i]contains only lowercase English letters.
Solutions
Solution 1: State Compression + Bit Manipulation
Since the problem requires that the characters in the subsequence must not be repeated and all characters are lowercase letters, we can use a binary integer of length 26 to represent a subsequence. The i-th bit being 1 indicates that the subsequence contains the i-th character, and 0 indicates that it does not contain the i-th character.
We can use an array s to store the states of all subsequences that meet the conditions. Initially, s contains only one element 0.
Then we traverse the array arr. For each string t, we use an integer x to represent the state of t. Then we traverse the array s. For each state y, if x and y have no common characters, we add the union of x and y to s and update the answer.
Finally, we return the answer.
The time complexity is O(2n + L), and the space complexity is O(2n). Here, n is the length of the string array, and L is the sum of the lengths of all strings in the array.
class Solution: def maxLength(self, arr: List[str]) -> int: s = [0] for t in arr: x = 0 for b in map(lambda c: ord(c) - 97, t): if x >> b & 1: x = 0 break x |= 1 << b if x: s.extend((x | y) for y in s if (x & y) == 0) return max(x.bit_count() for x in s)(code-box)
