Comet OJ - Contest #3

本文详细解析了一场A题比赛中的签到题,通过模拟方法解决,分享了AC代码实现,包括数据输入、处理及排序算法的应用。

当天晚上多开了几场比赛

所以这个只a了a题就没管了

A题 比赛

签到题 水题 模拟一下就可以了

AC代码:

#include<bits/stdc++.h>
using namespace std;
typedef long long ll;
typedef unsigned long long ull;

bool cmp(ll a, ll b){
    return a > b;
}

ll n, k;
ll a[505];
ll b[125000];
ll cnt = 0;
ll ans = 0;

int main(){
    memset(a, 0, sizeof(a));
    memset(b, 0, sizeof(b));
    cin>>n>>k;
    for (int i = 0; i < n; i++) cin>>a[i];
    for (int i = 0; i < n; i++){
        for (int j = i + 1; j < n; j++){
            b[cnt] = a[i] + a[j];
            cnt++;
        }
    }
    sort(b, b + 124750, cmp);
    for (int i = 0; i < k; i++) ans += b[i];
    cout<<ans<<endl;
    return 0;
}

 

转载于:https://www.cnblogs.com/Misuchii/p/10969369.html

# YOLOv5 🚀 requirements # Usage: pip install -r requirements.txt # Base ------------------------------------------------------------------------ gitpython ipython # interactive notebook matplotlib>=3.2.2 numpy>=1.18.5 opencv-python>=4.1.1 Pillow>=7.1.2 psutil # system resources PyYAML>=5.3.1 requests>=2.23.0 scipy>=1.4.1 thop>=0.1.1 # FLOPs computation torch>=1.7.0 # see https://pytorch.org/get-started/locally (recommended) torchvision>=0.8.1 tqdm>=4.64.0 # protobuf<=3.20.1 # https://github.com/ultralytics/yolov5/issues/8012 # Logging --------------------------------------------------------------------- tensorboard>=2.4.1 # clearml>=1.2.0 # comet # Plotting -------------------------------------------------------------------- pandas>=1.1.4 seaborn>=0.11.0 # Export ---------------------------------------------------------------------- # coremltools>=6.0 # CoreML export # onnx>=1.9.0 # ONNX export # onnx-simplifier>=0.4.1 # ONNX simplifier # nvidia-pyindex # TensorRT export # nvidia-tensorrt # TensorRT export # scikit-learn<=1.1.2 # CoreML quantization # tensorflow>=2.4.1 # TF exports (-cpu, -aarch64, -macos) # tensorflowjs>=3.9.0 # TF.js export # openvino-dev # OpenVINO export # Deploy ---------------------------------------------------------------------- # tritonclient[all]~=2.24.0 # Extras ---------------------------------------------------------------------- # mss # screenshots # albumentations>=1.0.3 # pycocotools>=2.0 # COCO mAP # roboflow # ultralytics # HUB https://hub.ultralytics.com
05-25
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