ProximaMonkey

# Project Policy

This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices.

# 1. Introduction

> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities.

## 1.1 Actors

ProximaMonkey

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

ProximaMonkey

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

ProximaMonkey

// Used in https://jina.ai/tokenizer (Aug. 14th version)
// Define variables for magic numbers
const MAX_HEADING_LENGTH = 6;
const MAX_HEADING_CONTENT_LENGTH = 200;
const MAX_HEADING_UNDERLINE_LENGTH = 200;
const MAX_HTML_HEADING_ATTRIBUTES_LENGTH = 100;
const MAX_LIST_ITEM_LENGTH = 200;
const MAX_NESTED_LIST_ITEMS = 5;
const MAX_LIST_INDENT_SPACES = 7;
const MAX_BLOCKQUOTE_LINE_LENGTH = 200;

ProximaMonkey

个人向直播源

精简了上游直播源内容，仅保留个人所需的。

一、订阅地址

TVM3U

https://gist.githubusercontent.com/inkss/0cf33e9f52fbb1f91bc5eb0144e504cf/raw/ipv6.m3u

ProximaMonkey

// WARNING：此脚本仅做学习和演示用途，在不了解其用途前不建议使用
// 本脚本的用途是将输入内容分页，每次提取一页内容，编辑第二条消息，发送，然后收集结果
// 使用前，需要有两条消息，参考模板 https://chat.openai.com/share/17195108-30c2-4c62-8d59-980ca645f111
// 演示视频： https://www.bilibili.com/video/BV1tp4y1c7ME/?vd_source=e71f65cbc40a72fce570b20ffcb28b22
// 
(function (fullText) {
  const wait = (ms) => new Promise((resolve) => setTimeout(resolve, ms));

  const groupSentences = (fullText, maxCharecters = 2800) => {
    const sentences = fullText.split("\n").filter((line) => line.trim().length > 0);

ProximaMonkey

using System;

interface IAdd
{
    void Add(int val);
}

struct Foo : IAdd
{
    public int value;

ProximaMonkey

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace System.Linq
{
	public class KeyEqualityComparer<T> : IEqualityComparer<T>
	{
		private readonly Func<T, T, bool> comparer;

ProximaMonkey

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.Mvc;
using System.Threading;
using System.Diagnostics;
using System.Text;

namespace StackOverflow.Helpers

ProximaMonkey

L1 cache reference                  0.5 ns
Branch mispredict                   5 ns
L2 cache reference                  7 ns
Mutex lock/unlock                   25 ns
Main memory reference               100 ns
Compress 1K bytes with Zippy        3,000 ns
Send 2K bytes over 1 Gbps network   20,000 ns
Read 1 MB sequentially from memory  250,000 ns
Round trip within same datacenter   500,000 ns
Disk seek                           10,000,000 ns