49 lines
1.5 KiB
JavaScript
49 lines
1.5 KiB
JavaScript
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// 计算标准差
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function caculate_standar_deviation(data) {
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// 计算数学期望（均值）
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const calculateMean = (values) => {
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const total = values.reduce((acc, value) => acc + parseFloat(value), 0);
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return total / values.length;
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};
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// 计算标准差
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const calculateStandardDeviation = (values, mean) => {
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const variance = values.reduce((acc, value) => acc + Math.pow(parseFloat(value) - mean, 2), 0) / values.length;
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return Math.sqrt(variance);
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};
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// 计算每个用户的标准差
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const results = Object.keys(data).reduce((acc, user) => {
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const values = data[user];
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const mean = calculateMean(values);
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const stddev = calculateStandardDeviation(values, mean);
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acc[user] = stddev;
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return acc;
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}, {});
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return results;
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}
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/**
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* 计算每个用户最终得分，满分为100分
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* @param {Array} alluser_mhs24h 每个用户过去24小时平均算力
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* @param {Number} hash_percent 24小时平均算力权重
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* @returns 每个用户最终得分
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*/
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function score(alluser_mhs24h, hash_percent = 1) {
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// 提取 mhs24h 数值
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const hashrateValues = alluser_mhs24h.map((obj) => obj.mhs24h);
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// 计算总和
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const totalHashrate = hashrateValues.reduce((sum, value) => sum + value, 0);
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const result = {};
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// 计算每个用户的算力占比
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for (let { user, mhs24h } of alluser_mhs24h) {
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result[user] = (mhs24h / totalHashrate) * hash_percent;
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}
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return result;
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}
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module.exports = { caculate_standar_deviation, score };
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