leetcode 393. UTF-8 Validation(UTF-8 编码验证)

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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, the n + 1 bit is 0, followed by n - 1 bytes with the most significant 2 bits being 10.
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.

看着很绕,简单解释下,
UFT-8是1~4byte长的,不能超过4byte.
4个byte可能出现的4种情况都在表里,不符合的就是false。
那你会说1 <= data.length <= 20000,data的长度可能到20000啊,怎么可能只有4 byte。
1~4 byte代表一个字符,后面的就是另一个字符,1~4 byte为一组。

思路:

经过上面的解释,可以做出如下分析。

第一个byte开头为0的不用考虑,肯定是UTF-8,跳过。
然后就是表里的case 2,3,4.
利用bit移位来判断,cnt记录后面应该出现多少个开头为10的byte.

public boolean validUtf8(int[] data) {
    int cnt = 0;
    
    for(int num : data) {
        if(cnt == 0) {
            if(num >> 5 == 0b110) cnt = 1;
            else if(num >> 4 == 0b1110) cnt = 2;
            else if(num >> 3 == 0b11110) cnt = 3;
            else if(num >> 7 == 1) return false;
        } else {
            if(num >> 6 != 0b10) return false;
            cnt --;
        }
    }
    
    return cnt == 0;
}

代码很简洁,但不是最快的,因为还要移位运算。
倒不如直接给出mask, 做与运算。
然后记录需要多少个“10”,一组一组判断。
注意numOfBytes中只有 numOfBytes-1个“10",比如4 byte中只有3个”10“

public boolean validUtf8(int[] data) {
    boolean isValid = true;
	for(int i=0;i<data.length;i++) {
		if(data[i]>255) return false; // 1 after 8th digit, 100000000
		int numberOfBytes = 0;
		if((data[i] & 128) == 0) numberOfBytes = 1; // 0xxxxxxx, 1 byte, 128(10000000)
		else if((data[i] & 224) == 192) numberOfBytes = 2; // 110xxxxx, 2 bytes, 224(11100000), 192(11000000)
		else if((data[i] & 240) == 224) numberOfBytes = 3; // 1110xxxx, 3 bytes, 240(11110000), 224(11100000)
		else if((data[i] & 248) == 240) numberOfBytes = 4; // 11110xxx, 4 bytes, 248(11111000), 240(11110000)
		else return false;

		for(int j=1;j<numberOfBytes;j++) { // check that the next n bytes start with 10xxxxxx
			if(i+j>=data.length) return false;
			if((data[i+j] & 192) != 128) return false; // 192(11000000), 128(10000000)
		}
		i=i+numberOfBytes-1; //循环结束后还会i++
	}
	return isValid;
}
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plot(cnn.rL);assert(er<0.12, 'Too big error');```Example: Neural Networks---------------------```matlabfunction test_example_NNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);% normalize[train_x, mu, sigma] = zscore(train_x);test_x = normalize(test_x, mu, sigma);%% ex1 vanilla neural netrand('state',0)nn = nnsetup([784 100 10]);opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samples[nn, L] = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.08, 'Too big error');%% ex2 neural net with L2 weight decayrand('state',0)nn = nnsetup([784 100 10]);nn.weightPenaltyL2 = 1e-4; % L2 weight decayopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex3 neural net with dropoutrand('state',0)nn = nnsetup([784 100 10]);nn.dropoutFraction = 0.5; % Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); nn.output = 'softmax'; % use softmax outputopts.numepochs = 5; % Number of full sweeps through dataopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, tx, ty, opts, vx, vy); % nntrain takes validation set as last two arguments (optionally)[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');```[![Bitdeli Badge](https://d2weczhvl823v0.cloudfront.net/rasmusbergpalm/deeplearntoolbox/trend.png)](https://bitdeli.com/free "Bitdeli Badge")

[leetcode] 393. UTF-8 Validation 解题报告

题目链接:https://leetcode.com/problems/utf-8-validation/ A character in UTF8 can be from 1 to 4 bytes long, subjected to the following rules: For 1-byte character, the first bit is a 0, followed b

小榕流光的专栏 2621

LeetCode //C - 393. UTF-8 Validation

【代码】LeetCode //C - 393. UTF-8 Validation。

Made in Code 773

【leetcode】393. UTF-8 Validation【M】

A character in UTF8 can be from 1 to 4 bytes long, subjected to the following rules: For 1-byte character, the first bit is a 0, followed by its unicode code.For n-bytes character, the first n-bits

sscssz的博客 1672

【leetcode】393. UTF-8 Validation

一、题目描述 A character in UTF8 can be from 1 to 4 bytes long, subjected to the following rules: For 1-byte character, the first bit is a 0, followed by its unicode code.For n-bytes character, the

小拳头的博客 1244

[Leetcode 393] UTF-8 Validation

393. UTF-8 Validation 393. UTF-8 编码验证 Intuition It’s obviously a bit manipulation problem. But also there are lots of states need to be considered. An encoded UTF-8 character is possiblely represented...

zdxiq000的专栏 325

Leetcode 393. UTF-8 Validation UTF-8 编码识别 解题报告

1 解题思想这道题主要是要求判别给定的二进制序列是否是合法的UTF-8编码 精简的说,UTF-8编码的特性有: 1、长度可以从1byte到4bytes 2、对于1byte的数据,其比特位的最高位是0 3、对于长度2-4的数据,其首个byte的高n-1位全部为1,随后的n-1个byte,其高2位全部为10在这道题中,以int的方式标示一个byte,取他的后8位就可以而解题的核心在于: 1、按

MebiuW的专栏 5098

Leetcode 393. UTF-8 Validation

【代码】Leetcode 393. UTF-8 Validation。

小白菜又菜 439

LeetCode393. UTF-8 Validation

A character in UTF8 can be from1 to 4 byteslong, subjected to the following rules: For 1-byte character, the first bit is a 0, followed by its unicode code. For n-bytes character, the first n-bits...

李歇特冯-兹拜因巴哈的博客 176

LeetCode--393. UTF-8 Validation

问题链接:https://leetcode.com/problems/utf-8-validation/ UTF-8的编码规则比较复杂,要仔细阅读确定编码规则,自己想的算法也比较暴力朴素,易于理解: 1.将十进制数转为长度为8的定长字符串  2.使用双指针法检查是否合法,代码如下 class Solution { public static boolean validUt...

To_be_thinking的博客 365
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