


PHP random lottery code analysis based on prize percentage_PHP tutorial
/** * 概率算法 * @param array $probability * @return integer|string */ function get_rand($probability) { // 概率数组的总概率精度 $max = array_sum($probability); foreach ($probability as $key => $val) { $rand_number = mt_rand(1, $max);//从1到max中随机一个值 if ($rand_number <= $val) {//如果这个值小于等于当前中奖项的概率,我们就认为已经中奖 return $key; } else { $max -= $val;//否则max减去当前中奖项的概率,然后继续参与运算 } } /** * 综上分析: * 确保对每个人获取奖品的概率是一样的 * 如果某件奖品没了,应该讲概率修改为0 * 考虑到高并发,在检测到用户中奖后,应该检查一下奖品是否存在,没了就直接返回没中奖或者次一级奖品 * 最后才将中奖结果返回 */ } // 概率比例 /* 接下来我们通过PHP配置奖项。 */ $data = array( array( "prize" => "平板电脑", "prob" => 1 ), array( "prize" => "数码相机", "prob" => 3 ), array( "prize" => "音箱设备", "prob" => 5 ), array( "prize" => "8G优盘", "prob" => 20 ), array( "prize" => "10Q币", "prob" => 200 ), array( "prize" => "下次没准就能中噢", "prob" => 771 ) ); foreach ($data as $key => $val) { $probability[$key] = $val["prob"]; } $n = get_rand($probability); $res['yes'] = $data[$n]["prize"];//$res['yes'] =$data[$n][0]; unset($data[$n]); // 将中奖项从数组中剔除,剩下未中奖项 shuffle($data); // 将其它奖项顺序打乱 $func = create_function('$x', 'return $x["prize"];'); //$res['no'] = array_map(function($x){return $x[0];}, $data); // 除了中奖外的其他数据 $res['no'] = array_map($func, $data); // 除了中奖外的其他数据 print_r($res);

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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