Problem
Given an integer array data
representing the data, return whether it is a valid UTF-8 encoding (i.e. it translates to a sequence of valid UTF-8 encoded characters).
A character in UTF8 can be from 1 to 4 bytes long, subjected to the following rules:
For a 1-byte character, the first bit is a
0
, followed by its Unicode code.For an n-bytes character, the first
n
bits are all one's, then + 1
bit is0
, followed byn - 1
bytes with the most significant2
bits being10
.
This is how the UTF-8 encoding would work:
Number of Bytes | UTF-8 Octet Sequence
| (binary)
--------------------+-----------------------------------------
1 | 0xxxxxxx
2 | 110xxxxx 10xxxxxx
3 | 1110xxxx 10xxxxxx 10xxxxxx
4 | 11110xxx 10xxxxxx 10xxxxxx 10xxxxxx
x
denotes a bit in the binary form of a byte that may be either 0
or 1
.
**Note: **The input is an array of integers. Only the least significant 8 bits of each integer is used to store the data. This means each integer represents only 1 byte of data.
Example 1:
Input: data = [197,130,1]
Output: true
Explanation: data represents the octet sequence: 11000101 10000010 00000001.
It is a valid utf-8 encoding for a 2-bytes character followed by a 1-byte character.
Example 2:
Input: data = [235,140,4]
Output: false
Explanation: data represented the octet sequence: 11101011 10001100 00000100.
The first 3 bits are all one's and the 4th bit is 0 means it is a 3-bytes character.
The next byte is a continuation byte which starts with 10 and that's correct.
But the second continuation byte does not start with 10, so it is invalid.
Constraints:
1 <= data.length <= 2 * 10^4
0 <= data[i] <= 255
Solution
class Solution {
public boolean validUtf8(int[] data) {
int count = 0;
for (int d : data) {
if (count == 0) {
if (d >> 5 == 0b110) {
count = 1;
} else if (d >> 4 == 0b1110) {
count = 2;
} else if (d >> 3 == 0b11110) {
count = 3;
} else if (d >> 7 == 1) {
return false;
}
} else {
if (d >> 6 != 0b10) {
return false;
} else {
count--;
}
}
}
return count == 0;
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).