The Magical String problem asks you to generate a special string called the "magical string" up to a given length n
, and count how many '1's are present in its first n
characters.
The magical string S
is a sequence of '1's and '2's with the following properties:
S
are: "1221121221221121122..."
S
.n
, you must return the number of '1's in the first n
characters of the magical string.1 <= n <= 10^5
At first, the problem may seem confusing because the sequence defines itself in terms of its own structure. A brute-force approach might be to try and write out the sequence by hand, but this quickly becomes infeasible for large n
.
The key insight is that the sequence is built by reading itself: each number in the sequence tells you how many times to repeat the next digit (which alternates between '1' and '2'). Instead of generating the entire sequence as a string, we can use a list or array and simulate the process step by step, keeping track of how many '1's we add as we go.
We want to avoid unnecessary string operations and focus on efficiently building the sequence up to n
characters, counting '1's as we go.
We can break down the algorithm as follows:
head
) to the current position in the sequence that tells us how many times to append the next number.n
:
head
(this tells you how many times to append the next number).n
).head
forward by 1.n
, only count the '1's in the first n
elements.We use a list to efficiently append new numbers and a variable to keep track of the number of '1's, ensuring we don't waste memory or time.
Let's walk through the process for n = 6
:
Thus, the answer for n = 6
is 3.
The Magical String problem is a great example of a self-referential sequence that can be efficiently simulated using a list and a pointer. By understanding how the sequence "reads itself" to generate new elements, we can avoid brute-force methods and build the solution in linear time. The key insight is to use the sequence's own values to determine how many times to append the next number, all while counting the number of '1's as we go. This results in an elegant, efficient solution suitable for large inputs.
class Solution:
def magicalString(self, n: int) -> int:
if n == 0:
return 0
s = [1, 2, 2]
head = 2
num = 1
count = 1 # s[0] is '1'
while len(s) < n:
for _ in range(s[head]):
s.append(num)
if num == 1 and len(s) <= n:
count += 1
num = 3 - num # toggle between 1 and 2
head += 1
# If overshot, subtract any extra ones
return sum(1 for i in s[:n] if i == 1)
class Solution {
public:
int magicalString(int n) {
if (n == 0) return 0;
vector<int> s = {1, 2, 2};
int head = 2, num = 1, count = 1;
while (s.size() < n) {
for (int i = 0; i < s[head]; ++i) {
s.push_back(num);
}
num = 3 - num;
++head;
}
int result = 0;
for (int i = 0; i < n; ++i) {
if (s[i] == 1) ++result;
}
return result;
}
};
class Solution {
public int magicalString(int n) {
if (n == 0) return 0;
List<Integer> s = new ArrayList<>(Arrays.asList(1,2,2));
int head = 2, num = 1;
while (s.size() < n) {
for (int i = 0; i < s.get(head); ++i) {
s.add(num);
}
num = 3 - num;
head++;
}
int count = 0;
for (int i = 0; i < n; ++i) {
if (s.get(i) == 1) count++;
}
return count;
}
}
var magicalString = function(n) {
if (n === 0) return 0;
let s = [1, 2, 2];
let head = 2, num = 1;
while (s.length < n) {
for (let i = 0; i < s[head]; ++i) {
s.push(num);
}
num = 3 - num;
head++;
}
let count = 0;
for (let i = 0; i < n; ++i) {
if (s[i] === 1) count++;
}
return count;
};