LessUp

import cv2
import torch
from torch import nn, optim
from torch.utils.data import DataLoader
from torchvision import transforms, datasets

transform = transforms.Compose([
    transforms.RandomRotation(10),  # 随机旋转±10度
    transforms.RandomAffine(0, translate=(0.1, 0.1)),  # 随机平移10%
    transforms.ToTensor(),

LessUp

// ==UserScript==
// @name         GLM Coding Rush - 智谱编程助手抢购脚本
// @namespace    https://gist.github.com/LessUp
// @version      1.1.0
// @description  智谱 GLM Coding 一键抢购脚本 — 自动解锁售罄按钮 / 高速重试引擎 / bizId 双重校验 / 错误弹窗自动恢复 / 支付弹窗保护 / 秒级定时触发 / 可拖拽浮动面板
// @author       LessUp
// @match        *://www.bigmodel.cn/*
// @match        https://bigmodel.cn/glm-coding*
// @run-at       document-start
// @grant        none

LessUp

#include <stdio.h>
#include <string.h>
#include <string>

using namespace std;

const char *strtok_p(const char *p, const char delim, const char **pos) {
    // 分割结束
    if (*p == '\0') {
        return nullptr;

LessUp

#include <string>
#include <vector>
#include <iostream>

using namespace std;

void split(const string &s, vector<string> &tokens, const string &delimiters = " ") {
    string::size_type lastPos = s.find_first_not_of(delimiters, 0);
    string::size_type pos = s.find_first_of(delimiters, lastPos);
    while (string::npos != pos || string::npos != lastPos) {

LessUp

#include <iostream>
#include <filesystem>

using namespace std;
namespace fs = std::filesystem;

int main() {
    std::cout << "Current working directory: " << fs::current_path() << '\n';
    return 0;
}

LessUp

#include <queue>
#include <mutex>
#include <condition_variable>

using namespace std;

class MyQueue {
private:
    mutex mut;
    condition_variable cond;