1048. Find Coins (25)

本文介绍了一个经典的计算机科学问题:寻找两个数,使它们的和等于特定的目标值。该算法采用双指针技术在已排序的整数数组中进行搜索。通过对数组两端元素的比较,逐步缩小搜索范围直至找到匹配项或确定无解。
#include<iostream>
#include<algorithm>
#include<vector>
#include<map> 
#include<string>
#include<set>
using namespace std;
vector<int> coins;
int main(){
	int n, m;
	cin>>n>>m;
	for(int i = 0; i < n; i++){
		int temp;
		scanf("%d",&temp);
		coins.push_back(temp);
	}
	sort(coins.begin(),coins.end());
	int low = 0;
	int high = coins.size() - 1;
	while(low < high){
		int sum = coins[low] + coins[high];
		if(sum == m){
			printf("%d %d",coins[low],coins[high]);
			return 0;
		}
		else if(sum > m){
			high--;
		}
		else{
			low++;
		}
	}
	if(low >= high){
		printf("No Solution");
	}
	return 0;
}

from bs4 import BeautifulSoup import requests import lxml import openpyxl import os def get_html(url,headers,data): try: response = requests.get(url, headers=headers, params=data) if response.status_code == 200: return response.text else: print('请求失败') except Exception as e: print(e) def save_data(html): soup=BeautifulSoup(html,'lxml') node=soup.find_all('table') for sub_node in node: title=sub_node.find_all('h1')[2].get('title') likes=sub_node.find_all('span',{'class':'video-like-info video-toolbar-item-text'})[0].string coins=sub_node.find_all('span',{'class':'video-coin-info video-toolbar-item-text'})[0].string favorites=sub_node.find_all('span',{'class':'video-fav-info video-toolbar-item-text'})[0].string shares=sub_node.find_all('span',{'class':'video-share-info video-toolbar-item-text'})[0].string description=sub_node.find_all('span',{'class':'desc-info-text'})[0].string print(title, likes, coins, favorites, shares, description) sheet.append([title, likes, coins, favorites, shares, description]) if __name__ == "__main__": path='d:\\video' if not os.path.exists(path): os.mkdir(path) os.chdir(path) wb = openpyxl.Workbook() sheet = wb.active sheet.append(['标题', '点赞人数', '投币人数', '收藏人数', '转发人数','视频介绍']) url ='https://search.bilibili.com/all?vt=68706038&keyword=python&page=''' headers = { 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36' } data={ 'page':0 } for page in range(0,11): data['page'] = page html = get_html(url,headers,data) save_data(html) wb.save('video.xlsx') 请将我的代码完善,我想要实现前十页视频爬取的相关内容
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06-13
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