927. Three Equal Parts
Description
You are given an array arr
which consists of only zeros and ones, divide the array into three non-empty parts such that all of these parts represent the same binary value.
If it is possible, return any [i, j]
with i + 1 < j
, such that:
arr[0], arr[1], ..., arr[i]
is the first part,arr[i + 1], arr[i + 2], ..., arr[j - 1]
is the second part, andarr[j], arr[j + 1], ..., arr[arr.length - 1]
is the third part.- All three parts have equal binary values.
If it is not possible, return [-1, -1]
.
Note that the entire part is used when considering what binary value it represents. For example, [1,1,0]
represents 6
in decimal, not 3
. Also, leading zeros are allowed, so [0,1,1]
and [1,1]
represent the same value.
Example 1:
Input: arr = [1,0,1,0,1] Output: [0,3]
Example 2:
Input: arr = [1,1,0,1,1] Output: [-1,-1]
Example 3:
Input: arr = [1,1,0,0,1] Output: [0,2]
Constraints:
3 <= arr.length <= 3 * 104
arr[i]
is0
or1
Solutions
Solution 1: Counting + Three Pointers
We denote the length of the array as $n$, and the number of '1's in the array as $cnt$.
Obviously, $cnt$ must be a multiple of $3$, otherwise the array cannot be divided into three equal parts, and we can return $[-1, -1]$ in advance. If $cnt$ is $0$, it means that all elements in the array are '0', and we can directly return $[0, n - 1]$.
We divide $cnt$ by $3$ to get the number of '1's in each part, and then find the position of the first '1' in each part in the array arr
(refer to the $find(x)$ function in the following code), denoted as $i$, $j$, $k$ respectively.
0 1 1 0 0 0 1 1 0 0 0 0 0 1 1 0 0
^ ^ ^
i j k
Then we start from $i$, $j$, $k$ and traverse each part at the same time, check whether the corresponding values of the three parts are equal. If they are, continue to traverse until $k$ reaches the end of arr
.
0 1 1 0 0 0 1 1 0 0 0 0 0 1 1 0 0
^ ^ ^
i j k
At the end of the traversal, if $k=n$, it means that it satisfies the three equal parts, and we return $[i - 1, j]$ as the answer, otherwise return $[-1, -1]$.
The time complexity is $O(n)$, where $n$ is the length of arr
. The space complexity is $O(1)$.
Similar problems:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
|