以下是我尝试编写BK-Tree,150000
word文件需要8 seconds
有没有办法减少这段时间。
以下是我的代码
#include <stdio.h>
#include <string>
#include <vector>
#include <fstream>
#include <iostream>
#include <sstream>
#include "Timer.h"
class BkTree {
public:
BkTree();
~BkTree();
void insert(std::string m_item);
private:
size_t EditDistance( const std::string &s, const std::string &t );
struct Node {
std::string m_item;
size_t m_distToParent;
Node *m_firstChild;
Node *m_nextSibling;
Node(std::string x, size_t dist);
~Node();
};
Node *m_root;
int m_size;
protected:
};
BkTree::BkTree() {
m_root = NULL;
m_size = 0;
}
BkTree::~BkTree() {
if( m_root )
delete m_root;
}
BkTree::Node::Node(std::string x, size_t dist) {
m_item = x;
m_distToParent = dist;
m_firstChild = m_nextSibling = NULL;
}
BkTree::Node::~Node() {
if( m_firstChild )
delete m_firstChild;
if( m_nextSibling )
delete m_nextSibling;
}
void BkTree::insert(std::string m_item) {
if( !m_root ){
m_size = 1;
m_root = new Node(m_item, -1);
return;
}
Node *t = m_root;
while( true ) {
size_t d = EditDistance( t->m_item, m_item );
if( !d )
return;
Node *ch = t->m_firstChild;
while( ch ) {
if( ch->m_distToParent == d ) {
t = ch;
break;
}
ch = ch->m_nextSibling;
}
if( !ch ) {
Node *newChild = new Node(m_item, d);
newChild->m_nextSibling = t->m_firstChild;
t->m_firstChild = newChild;
m_size++;
break;
}
}
}
size_t BkTree::EditDistance( const std::string &left, const std::string &right ) {
size_t asize = left.size();
size_t bsize = right.size();
std::vector<size_t> prevrow(bsize+1);
std::vector<size_t> thisrow(bsize+1);
for(size_t i = 0; i <= bsize; i++)
prevrow[i] = i;
for(size_t i = 1; i <= asize; i ++) {
thisrow[0] = i;
for(size_t j = 1; j <= bsize; j++) {
thisrow[j] = std::min(prevrow[j-1] + size_t(left[i-1] != right[j-1]),
1 + std::min(prevrow[j],thisrow[j-1]) );
}
std::swap(thisrow,prevrow);
}
return prevrow[bsize];
}
void trim(std::string& input_str) {
if(input_str.empty()) return;
size_t startIndex = input_str.find_first_not_of(" ");
size_t endIndex = input_str.find_last_not_of("\r\n");
std::string temp_str = input_str;
input_str.erase();
input_str = temp_str.substr(startIndex, (endIndex-startIndex+ 1) );
}
int main( int argc, char **argv ) {
BkTree *pDictionary = new BkTree();
std::ifstream dictFile("D:\\dictionary.txt");
Timer *t = new Timer("Time Taken to prepare Tree = ");
std::string line;
if (dictFile.is_open()) {
while (! dictFile.eof() ) {
std::getline (dictFile,line);
trim(line);
pDictionary->insert(line);
}
dictFile.close();
}
delete t;
delete pDictionary;
return 0;
}
class Timer {
public:
Timer (const std::string &name = "undef");
~Timer (void);
private:
std::string m_name;
std::clock_t m_started;
protected:
};
Timer::Timer (const std::string &name) : m_name(name), m_started(clock()) {
}
Timer::~Timer (void) {
double secs = static_cast<double>(std::clock() - m_started) / CLOCKS_PER_SEC;
std::cout << m_name << ": " << secs << " secs." << std::endl;
}
答案 0 :(得分:1)
您可以通过消除I / O来减少时间。要测试您的算法,请删除不在程序控制范围内的任何数量的对象。例如,操作系统控制I / O,它不受您的控制。一组常量文本消除了操作系统的大量参与(操作系统仍然可能页数组,具体取决于操作系统内存分配)。
接下来,大多数树结构都是面向数据的。它们的性能时间取决于数据。尝试三组数据:按升序排序,“随机”和按降序排序。注意每个的时间。
查看你的循环并分解出任何常量。在循环中创建临时变量以在内部循环中进行常量计算。删除不必要的操作。
最后,如果您的程序和算法非常强大,请处理其他项目。仅在必要时进行优化。