YousefMohamed6

import 'package:flutter/services.dart';
import 'package:local_auth/local_auth.dart';

class LocalAuthService {
  LocalAuthService() {
    _init();
  }
  final LocalAuthentication _localAuth = LocalAuthentication();
  bool _isSupported = false;
  bool get isSupported => _isSupported;

aliyaliu368

教學用電子書免登入破解教學

使用前請務必閱讀 免責聲明

免責聲明

請勿將本腳本作為抄答案、侵權等惡意用途，使用本腳本者，請自行承擔所有後果與風險。

簡介

dagronf

extension NSImage {
   /// Create a CIImage using the best representation available
   ///
   /// - Returns: Converted image, or nil
   func asCIImage() -> CIImage? {
      if let cgImage = self.asCGImage() {
         return CIImage(cgImage: cgImage)
      }
      return nil
   }

renschni

I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:

TLDR: Manus AI Agent Report

Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox

khalidabuhakmeh

namespace WhatDoIHave;

public static class ServicesDebugger
{
    public static void UseServicesDebugger(this WebApplication app, IHostApplicationBuilder builder,
        string path = "/__services")
    {
        app.MapGet(path, () =>
        {
            // lang=html

mattppal

Frontend Security

	Security Measure	Description
☐	Use HTTPS everywhere	Prevents basic eavesdropping and man-in-the-middle attacks
☐	Input validation and sanitization	Prevents XSS attacks by validating all user inputs
☐	Don't store sensitive data in the browser	No secrets in localStorage or client-side code
☐	CSRF protection	Implement anti-CSRF tokens for forms and state-changing requests
☐	Never expose API keys in frontend	API credentials should always remain server-side

jkasun

// Online C++ compiler to run C++ program online
#include <iostream>
float pi = 3.141;

// This should take circleRadius as a parameter and rutrn the area
float caculateArea(float r) {
    // Area = Pi x Square(R)
    float area = pi * r * r;
    return area;
}

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

pancelor

-- picotron api explorer (p64env)
--  by pancelor
--  https://pancelor.com

--[[
## how to install
1. open picotron (buy from https://www.lexaloffle.com/picotron.php)
2. press escape to open the terminal
3. run `folder`. a file explorer should open on your host OS.
   you should see `appdata` and `desktop`

UstDoesTech

# COMMAND ----------

import boto3
from botocore.config import Config

# COMMAND ----------

awsAccessKeyId = dbutils.secrets.get("scopeName", key = "AWSAccessKeyID")
awsSecretAccessKey = dbutils.secrets.get("scopeName", key = "AWSSecretAccessKey")