我正在开发的程序旨在处理大量数据并生成至少 2^34 个布尔数据。这些数据在整个程序运行过程中静态生成和清除(每个实例仅对一部分进行排序),最后将至少 2^21 行统计数据的向量传递到最后阶段进行进一步处理。
但是,对于某些输入数据,STL 排序失败。在排序完成其过程后,一些向量行将被清零或损坏。似乎我唯一的选择是尝试对混合快速排序/插入排序算法进行硬编码。
如果您能表达您的想法,我将不胜感激。干杯。
最后阶段数据的数据结构:
struct statisticalValues{
unsigned long long id; //index id
unsigned int col_Sum; //Sum: total number of 1s for each combination
unsigned int col_Relevancy; //Relevancy = total number of 1s produced by (Comb AND Rel)
float col_Sensitivity; //Sensitivity= Relevancy / X
float col_Precision; //Precision= Relevancy / Sum
};
extern vector<statisticalValues> statistics;
调用 STL 排序:
sort(statistics.begin(), statistics.end(), BySensitivity());
比较标准:
#define EPSILON 0.0001 // user-defined tolerance for equality of floating-point numbers
struct BySensitivity {
bool operator()(statisticalValues const &a, statisticalValues const &b) const {
float sensitivityDif = b.col_Sensitivity - a.col_Sensitivity;
if((sensitivityDif < EPSILON) && (sensitivityDif > -EPSILON)){
return ((b.col_Precision - a.col_Precision) < EPSILON);
}else{
return (sensitivityDif < -EPSILON);
}
}
};
将被破坏的样本数据行(不分先后):
id,col_Sum,col_Relevancy,col_Sensitivity,col_Precision
1568676,5353,3696,94.166,69.045
1770228,5353,3696,94.166,69.045
2040533,5353,3696,94.166,69.045
2053376,5353,3696,94.166,69.045
1231712,4668,3425,87.261,73.372
1946656,4668,3425,87.261,73.372
1948021,4668,3425,87.261,73.372
通过 STL 排序损坏和归零后:
id,col_Sensitivity,col_Precision
10540996614775448722,5.8399e-34,5.8399e-34
8589934369,0.0000,0.0000
0,0.0000,0.0000
0,0.0000,0.0000
0,0.0000,0.0000
0,0.0000,0.0000
0,0.0000,0.0000
实施建议的修改后:
比较标准:
struct BySensitivity {
bool operator()(statisticalValues const &a, statisticalValues const &b) const {
float sensitivityDif = b.col_Sensitivity - a.col_Sensitivity;
if((sensitivityDif <= EPSILON) && (sensitivityDif >= -EPSILON)){
return ((b.col_Precision - a.col_Precision) < -EPSILON);
}else{
return (sensitivityDif < -EPSILON);
}
}
};
感谢@Mark-B、@btilly、@David-Thornley、@sth 和 @Daniel-Gallagher