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PHP function class for winning probability algorithm

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PHP function class for winning probability algorithm

<?php
function get_rand($proArr) {
    $result = '';
    //概率数组的总概率精度
    $proSum = array_sum($proArr);
    //概率数组循环
    foreach ($proArr as $key => $proCur) {
        $randNum = mt_rand(1, $proSum);
        if ($randNum <= $proCur) {
            $result = $key;
            break;
        } else {
            $proSum -= $proCur;
        }
    }
    unset ($proArr);
    return $result;
}

The prize array is a two-dimensional array that records all the prize information of this lottery, where id represents the winning level, prize represents the prize, and v represents the probability of winning. Note that v must be an integer. You can set v of the corresponding award to 0, which means that the probability of winning the award is 0. The sum of v in the array (base). The larger the base, the more accurate the probability can be reflected. . In this example, the sum of v is 100, then the probability of winning for the tablet is 1%. If the sum of v is 10,000, the probability of winning is one in ten thousand. $proArr is a preset array. Assume that the array is: array(100,200,300,400). It starts by screening the first number from the probability range of 1,1000 to see if it is within its occurrence probability range. If not, it will The probability space is the probability space of the value of k minus the number just now. In this case, it is minus 100, which means that the second number is filtered within the range of 1,900. In this way, until the end of the screening, there will always be a number that meets the requirements. It's like touching something in a box. If the first one isn't there, the second one isn't there, and the third one isn't there, then the last one must be. This algorithm is simple and very efficient. The key is that this algorithm has been applied in our previous projects, especially in projects with large amounts of data. The efficiency is very good.

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