最近在做CactiEZ的二次开发, 在将对象转化成json串之后发现中文变成了unicode编码, 几经周折终于解决了。 记录下解决办法,希望能够帮助到遇到同样问题的朋友。
//json_encode()函数在php5.4.0之后可以通过传入参数JSON_UNESCAPED_UNICODE保持中文原样, 不进行Unicode 转码. echo unicode_decode(json_encode($response)); function unicode_decode($name) { // 转换编码,将Unicode编码转换成可以浏览的utf-8编码 $pattern = '/([\w]+)|(\\\u([\w]{4}))/i'; preg_match_all($pattern, $name, $matches); if (!empty($matches)) { for ($j = 0; $j < count($matches[0]); $j++) { $str = $matches[0][$j]; if (strpos($str, '\\u') === 0) { $code = base_convert(substr($str, 2, 2), 16, 10); $code2 = base_convert(substr($str, 4), 16, 10); $c = chr($code).chr($code2); $c = iconv('UCS-2BE', 'UTF-8', $c);//'UCS-2BE'根据系统的不同可能是别的值. $name=str_replace($str, $c, $name); } else { // $name .= $str; } } } return $name; }

JavaScript core data types are consistent in browsers and Node.js, but are handled differently from the extra types. 1) The global object is window in the browser and global in Node.js. 2) Node.js' unique Buffer object, used to process binary data. 3) There are also differences in performance and time processing, and the code needs to be adjusted according to the environment.

JavaScriptusestwotypesofcomments:single-line(//)andmulti-line(//).1)Use//forquicknotesorsingle-lineexplanations.2)Use//forlongerexplanationsorcommentingoutblocksofcode.Commentsshouldexplainthe'why',notthe'what',andbeplacedabovetherelevantcodeforclari

The main difference between Python and JavaScript is the type system and application scenarios. 1. Python uses dynamic types, suitable for scientific computing and data analysis. 2. JavaScript adopts weak types and is widely used in front-end and full-stack development. The two have their own advantages in asynchronous programming and performance optimization, and should be decided according to project requirements when choosing.

Whether to choose Python or JavaScript depends on the project type: 1) Choose Python for data science and automation tasks; 2) Choose JavaScript for front-end and full-stack development. Python is favored for its powerful library in data processing and automation, while JavaScript is indispensable for its advantages in web interaction and full-stack development.

Python and JavaScript each have their own advantages, and the choice depends on project needs and personal preferences. 1. Python is easy to learn, with concise syntax, suitable for data science and back-end development, but has a slow execution speed. 2. JavaScript is everywhere in front-end development and has strong asynchronous programming capabilities. Node.js makes it suitable for full-stack development, but the syntax may be complex and error-prone.

JavaScriptisnotbuiltonCorC ;it'saninterpretedlanguagethatrunsonenginesoftenwritteninC .1)JavaScriptwasdesignedasalightweight,interpretedlanguageforwebbrowsers.2)EnginesevolvedfromsimpleinterpreterstoJITcompilers,typicallyinC ,improvingperformance.

JavaScript can be used for front-end and back-end development. The front-end enhances the user experience through DOM operations, and the back-end handles server tasks through Node.js. 1. Front-end example: Change the content of the web page text. 2. Backend example: Create a Node.js server.

Choosing Python or JavaScript should be based on career development, learning curve and ecosystem: 1) Career development: Python is suitable for data science and back-end development, while JavaScript is suitable for front-end and full-stack development. 2) Learning curve: Python syntax is concise and suitable for beginners; JavaScript syntax is flexible. 3) Ecosystem: Python has rich scientific computing libraries, and JavaScript has a powerful front-end framework.


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