385 Mini Parser
385. Mini Parser
1. Question
Given a nested list of integers represented as a string, implement a parser to deserialize it.
Each element is either an integer, or a list -- whose elements may also be integers or other lists.
Note: You may assume that the string is well-formed:
String is non-empty.
String does not contain white spaces.
String contains only digits
0-9
,[
,-,
,]
.
Example 1:
Given s = "324",
You should return a NestedInteger object which contains a single integer 324.
Example 2:
Given s = "[123,[456,[789]]]",
Return a NestedInteger object containing a nested list with 2 elements:
1. An integer containing value 123.
2. A nested list containing two elements:
i. An integer containing value 456.
ii. A nested list with one element:
a. An integer containing value 789.
2. Implementation
(1) Recursion
思路: 括号中的string相当于一个subproblem,所以当我们遇到左括号,可以递归地调用原来的方程,遇到右括号时,则跳出递归。总得思路其实和LC 224类似。
/**
* // This is the interface that allows for creating nested lists.
* // You should not implement it, or speculate about its implementation
* public interface NestedInteger {
* // Constructor initializes an empty nested list.
* public NestedInteger();
*
* // Constructor initializes a single integer.
* public NestedInteger(int value);
*
* // @return true if this NestedInteger holds a single integer, rather than a nested list.
* public boolean isInteger();
*
* // @return the single integer that this NestedInteger holds, if it holds a single integer
* // Return null if this NestedInteger holds a nested list
* public Integer getInteger();
*
* // Set this NestedInteger to hold a single integer.
* public void setInteger(int value);
*
* // Set this NestedInteger to hold a nested list and adds a nested integer to it.
* public void add(NestedInteger ni);
*
* // @return the nested list that this NestedInteger holds, if it holds a nested list
* // Return null if this NestedInteger holds a single integer
* public List<NestedInteger> getList();
* }
*/
class Solution {
int i = 1;
public NestedInteger deserialize(String s) {
if (!s.startsWith("[")) {
return new NestedInteger(Integer.parseInt(s));
}
return recDeserialize(s.toCharArray());
}
public NestedInteger recDeserialize(char[] s) {
NestedInteger res = new NestedInteger();
int n = s.length;
while (i < n) {
char c = s[i];
if (c == '[') {
++i;
res.add(recDeserialize(s));
}
else if (c == ']') {
++i;
break;
}
else if (c == ',') {
++i;
}
else {
int sign = 1;
int val = 0;
if (c == '-') {
sign = -1;
++i;
}
while (i < n && Character.isDigit(s[i])) {
val = 10 * val + s[i] - '0';
++i;
}
res.add(new NestedInteger(sign * val));
}
}
return res;
}
}
(2) Stack
既然可以用递归,就可以用stack模拟递归的过程,总体思路和递归一样,只是遇到左括号时,将结果入栈,遇到右括号时出栈而已
/**
* // This is the interface that allows for creating nested lists.
* // You should not implement it, or speculate about its implementation
* public interface NestedInteger {
* // Constructor initializes an empty nested list.
* public NestedInteger();
*
* // Constructor initializes a single integer.
* public NestedInteger(int value);
*
* // @return true if this NestedInteger holds a single integer, rather than a nested list.
* public boolean isInteger();
*
* // @return the single integer that this NestedInteger holds, if it holds a single integer
* // Return null if this NestedInteger holds a nested list
* public Integer getInteger();
*
* // Set this NestedInteger to hold a single integer.
* public void setInteger(int value);
*
* // Set this NestedInteger to hold a nested list and adds a nested integer to it.
* public void add(NestedInteger ni);
*
* // @return the nested list that this NestedInteger holds, if it holds a nested list
* // Return null if this NestedInteger holds a single integer
* public List<NestedInteger> getList();
* }
*/
class Solution {
// int i = 1;
public NestedInteger deserialize(String s) {
if (!s.startsWith("[")) {
return new NestedInteger(Integer.parseInt(s));
}
// Method 1: Stack
int n = s.length();
Stack<NestedInteger> stack = new Stack();
stack.push(new NestedInteger());
// Start at index 1, since we know s starts with "["
int i = 1;
while (i < n - 1) {
char c = s.charAt(i);
if (c == '[') {
stack.push(new NestedInteger());
++i;
}
else if (c == ']') {
NestedInteger curNI = stack.pop();
stack.peek().add(curNI);
++i;
}
else if (c == ',') {
++i;
}
else {
int sign = 1;
int val = 0;
if (c == '-') {
sign = -1;
++i;
}
while (i < n && Character.isDigit(s.charAt(i))) {
val = 10 * val + s.charAt(i) - '0';
++i;
}
stack.peek().add(new NestedInteger(sign * val));
}
}
return stack.pop();
}
}
3. Time & Space Complexity
(1) Recursion: 时间复杂度O(n), 空间复杂度O(n)
(2) Stack: 时间复杂度O(n), 空间复杂度O(n)
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