java List<Long[]> 截取

本文探讨了如何通过优化数据结构和算法来提高程序效率,包括排序算法、动态规划、哈希算法等核心概念的应用与优化策略。
package com.org.ruizi;

import java.util.ArrayList;
import java.util.List;

public class Test {
	public static void main(String[] args) {
		List<Long[]> list = new ArrayList<Long[]>();
		Long[] one1 = new Long[]{1L,2L};
		Long[] one2 = new Long[]{2L,3L};
		Long[] one3 = new Long[]{4L,5L};
		Long[] one4 = new Long[]{5L,6L};
		Long[] one5 = new Long[]{6L,7L};
		Long[] one6 = new Long[]{8L,66L};
		list.add(one1);
		list.add(one2);
		list.add(one3);
		list.add(one4);
		list.add(one5);
		list.add(one6);
		print(say(list));
	}
	
	public static List<Long[]> say(List<Long[]> list)
	{
		for(int i = 0 ; i<list.size()-1 ; i++)
		{
			for(int j = 0 ; j<list.size()-1-i; j++)
			{
				Long[] longOne = list.get(j);
				Long[] longTwo = list.get(j+1);
				Long[] temp = new Long[2];
				if(longOne[1].equals(longTwo[0]))
				{
					temp[0] = longOne[0];
					temp[1] = longTwo[1];
					list.remove(j);
					list.remove(j);
					list.add(j, temp);
				}
			}
		}
		return list;
	}
	
	public static void print(List<Long[]> list){
		for(int i = 0 ; i<list.size(); i++){
			System.out.println(list.get(i)[0]+"\t"+list.get(i)[1]);
		}
	}
}


 

public BaseResponse<PagingResponse<GetTeamsResponseDto>> getTeams(GetTeamsRequestDto requestDto) { PagingResponse<GetTeamsResponseDto> pagingResponse = new PagingResponse<>(); pagingResponse.setPageSize(requestDto.getPageSize()); pagingResponse.setPageNum(requestDto.getPageNum()); TeamListQueryBo quyeryBo = new TeamListQueryBo(requestDto); // 获取所有符合筛选条件的战队信息 List<TeamInfoBo> teamInfos = competitionTeamInfoService.getTotalTeamListInfo(quyeryBo); // 非空判断 if (teamInfos.isEmpty()) { pagingResponse.setList(Collections.emptyList()); return BaseResponse.success(pagingResponse); } // 根据战队id查询战队成员信息 Set<Long> teamIds = teamInfos.stream().map(TeamInfoBo::getId).collect(Collectors.toSet()); List<CompetitionTeamMemberPo> teamMembers = competitionTeamInfoService.getTeamMembersByTeamIds(teamIds); // 将战队成员信息转换为map,key为战队id,value为该战队下的所有成员信息 Map<Long, List<CompetitionTeamMemberPo>> teamMemberMap = teamMembers.stream() .collect(Collectors.groupingBy(CompetitionTeamMemberPo::getTeamId)); List<GetTeamsResponseDto> teamListInfos = teamInfos.stream().map(teamInfo -> { GetTeamsResponseDto responseDto = new GetTeamsResponseDto(); responseDto.setTotalCount(teamInfos.size()); BeanUtils.copyProperties(teamInfo, responseDto); // 获取每个战队下的成员信息 List<CompetitionTeamMemberPo> members = teamMemberMap.get(teamInfo.getId()); responseDto.setTeamMembers(members); // 查询队长 members.stream() .filter(member -> LEADER.getValue().equals(member.getMembership())) .findFirst().ifPresent(e -> { responseDto.setLeaderId(e.getUserId()); responseDto.setLeaderName(e.getUserName()); }); // 判断是否是当前用户创建的战队 responseDto.setIsOwnTeam(requestDto.getDsId().equals(teamInfo.getCreatorId())); return responseDto; }).collect(Collectors.toList()); pagingResponse.setList(teamListInfos); return BaseResponse.success(pagingResponse); }代码逻辑有问题啊吗
08-09
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值