1111. Maximum Nesting Depth of Two Valid Parentheses Strings
Description
A string is a valid parentheses string (denoted VPS) if and only if it consists of "("
and ")"
characters only, and:
- It is the empty string, or
- It can be written as
AB
(A
concatenated withB
), whereA
andB
are VPS's, or - It can be written as
(A)
, whereA
is a VPS.
We can similarly define the nesting depth depth(S)
of any VPS S
as follows:
depth("") = 0
depth(A + B) = max(depth(A), depth(B))
, whereA
andB
are VPS'sdepth("(" + A + ")") = 1 + depth(A)
, whereA
is a VPS.
For example, ""
, "()()"
, and "()(()())"
are VPS's (with nesting depths 0, 1, and 2), and ")("
and "(()"
are not VPS's.
Given a VPS seq, split it into two disjoint subsequences A
and B
, such that A
and B
are VPS's (and A.length + B.length = seq.length
).
Now choose any such A
and B
such that max(depth(A), depth(B))
is the minimum possible value.
Return an answer
array (of length seq.length
) that encodes such a choice of A
and B
: answer[i] = 0
if seq[i]
is part of A
, else answer[i] = 1
. Note that even though multiple answers may exist, you may return any of them.
Example 1:
Input: seq = "(()())" Output: [0,1,1,1,1,0]
Example 2:
Input: seq = "()(())()" Output: [0,0,0,1,1,0,1,1]
Constraints:
1 <= seq.size <= 10000
Solutions
Solution 1: Greedy
We use a variable \(x\) to maintain the current balance of parentheses, which is the number of left parentheses minus the number of right parentheses.
We traverse the string \(seq\), updating the value of \(x\). If \(x\) is odd, we assign the current left parenthesis to \(A\), otherwise we assign it to \(B\).
The time complexity is \(O(n)\), where \(n\) is the length of the string \(seq\). Ignoring the space consumption of the answer, the space complexity is \(O(1)\).
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