// 计算标准差
function caculate_standar_deviation(data) {
  // 计算数学期望（均值）
  const calculateMean = (values) => {
    const total = values.reduce((acc, value) => acc + parseFloat(value), 0);
    return total / values.length;
  };

  // 计算标准差
  const calculateStandardDeviation = (values, mean) => {
    const variance = values.reduce((acc, value) => acc + Math.pow(parseFloat(value) - mean, 2), 0) / values.length;
    return Math.sqrt(variance);
  };

  // 计算每个用户的标准差
  const results = Object.keys(data).reduce((acc, user) => {
    const values = data[user];
    const mean = calculateMean(values);
    const stddev = calculateStandardDeviation(values, mean);
    acc[user] = stddev;
    return acc;
  }, {});
  return results;
}

/**
 * 计算每个用户最终得分，满分为100分
 * @param {Array} alluser_mhs24h 每个用户过去24小时平均算力
 * @param {Number} hash_percent 24小时平均算力权重
 * @returns 每个用户最终得分
 */
function score(alluser_mhs24h, hash_percent = 1) {
  // 提取 mhs24h 数值
  const hashrateValues = alluser_mhs24h.map((obj) => obj.mhs24h);

  // 计算总和
  const totalHashrate = hashrateValues.reduce((sum, value) => sum + value, 0);

  const result = {};

  // 计算每个用户的算力占比
  for (let { user, mhs24h } of alluser_mhs24h) {
    result[user] = (mhs24h / totalHashrate) * hash_percent;
  }

  return result;
}
module.exports = { caculate_standar_deviation, score };