$subject = '0300020F005176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D'; echo preg_replace('/^(\w{8})\w{2}/i','$1'.'08',$subject); // 输出结果:85176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D // 期望结果:0300020F085176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D // 但是:preg_replace('regex','$1'.'__',$subject); 这样是没有问题的
回复内容:
$subject = '0300020F005176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D'; echo preg_replace('/^(\w{8})\w{2}/i','$1'.'08',$subject); // 输出结果:85176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D // 期望结果:0300020F085176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D // 但是:preg_replace('regex','$1'.'__',$subject); 这样是没有问题的
引自PHP手册preg_replace函数对后向引用的描述:preg_replace
当在替换模式下工作并且后向引用后面紧跟着需要是另外一个数字(比如:在一个匹配模式后紧接着增加一个原文数字), 不能使用\1这样的语法来描述后向引用。比如, \11将会使 preg_replace() 不能理解你希望的是一个\1后向引用紧跟一个原文1,还是 一个\11后向引用后面不跟任何东西。 这种情况下解决方案是使用\${1}1。 这创建了一个独立的$1后向引用, 一个独立的原文1。
你的替换部分是“$108”,所以这里的需要将$1替换为${1}以免混淆.
<code><?php $subject = '0300020F005176C5A11A730004F955A2A20CD8-367C-EC5B-9D8C-2CAA0B8FE45D'; echo preg_replace('/^(\w{8})\w{2}/i','${1}08',$subject); </code></code>
<code>echo preg_replace_callback('/^(\w{8})(\w{2})/i',create_function( // single quotes are essential here, // or alternative escape all $ as \$ '$matches', 'return $matches[1].\'08\';' ),$subject); </code>
这样,callback处理

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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