展示HN:Coderive – 在循环内仅用50毫秒迭代1千兆亿次。
Show HN: Coderive – Iterating through 1 Quintillion Inside a Loop in just 50ms

原始链接: https://github.com/DanexCodr/Coderive

## Coderive v0.4.0:一种移动优先的编程语言 Coderive 是一种新的、通用的编程语言,旨在实现安全性、速度和清晰度,并且*完全*在移动设备上开发。它利用双重编译流水线,生成字节码和本机代码(ARM64/x86_64),以实现高效执行。 主要特性包括一种新型的量词优先逻辑,取代了传统的布尔运算符(例如,`all[A, B]`代替`A && B`),以及一个多返回值槽系统,用于组织函数输出。Coderive 还拥有具有复杂步进模式的智能 for 循环。 开发利用 Java NIDE、快速编辑编辑器和 Android 上的 Termux Linux 环境,并借助 DeepSeek 和 Gemini 等 AI 助手。目前正在进行 TAC 编译器以进一步优化性能。 Coderive 采用 MIT 许可证,资源和支持可通过 GitHub Discussions/Issues 和开发者邮箱获得。它证明了在传统桌面环境之外实现强大的编译器开发是可行的。

## Coderive:基于公式执行,重新定义计算 Coderive 是一种新的编程语言,旨在实现极致性能。它展示了在 50 毫秒内循环遍历 100 万亿个数字的能力——这是传统语言(如 Python、Java 和 C++)无法做到的。 其关键在于 Coderive 的独特方法:它不存储数组中的数据,而是存储*公式*。这与运行时模式检测、延迟求值以及优化的公式存储(循环公式、条件公式、多分支公式)相结合,将循环转换为数学表达式。 这实现了 O(1) 的内存复杂度,并消除了数据移动、并行化需求和复杂的内存管理。本质上,Coderive 不*迭代地计算*,而是*定义计算*。 该项目展示了在现实世界中的应用潜力,例如快速 8K 视频处理,能够在传统上不可能的时间内完成任务。Coderive 运行在标准的 Java 7 上,使其强大的优化能够在通用硬件上实现。 项目 GitHub 地址:[https://github.com/DanexCodr/Coderive](https://github.com/DanexCodr/Coderive)
相关文章

原文

  1. Introduction
  2. Technical Architecture
  3. Language Features
  4. Performance Validation
  5. Getting Started
  6. Current Status
  7. License
  8. Contact

We present Coderive v0.4.0, a mobile-first general programming language designed for safe, fast, and clear coding. Coderive features a parser system written in java (manual recursive backtracking) and dual compilation pipeline (bytecode + native code generation). Built entirely on mobile devices, Coderive proves that serious compiler development can happen outside traditional environments.

2. Technical Architecture


Compiler Pipeline: Efficient Code Generation

  • Dual Compilation: Simultaneous bytecode and native code generation
  • Multi-Target Support: ARM64 and x86_64 code generation from single codebase
  • Mobile-First Design: Built and tested primarily on Android devices

Development Environment: Constraint-Driven Innovation

The language was developed under the constraint of mobile-only development:

  • Java NIDE: Fast Java 7 compiler for Android
  • Quickedit: High-performance mobile code editor
  • Termux: Comprehensive Linux environment
  • AI Assistants: DeepSeek and Gemini for accelerated debugging

Quantifier-First Logic Design Coderive replaces traditional boolean operators with expressive quantifiers:

Traditional Coderive
A && B && C all[A, B, C]
A || B || C any[A, B, C]
A && (B || C) all[A, any[B, C]]

Multi-Return Slot System

share Calculator {

    local calculate(int a, int b)
    :: result: int, operation: text
    {
        ~> a + b, "addition"  # Slot assignments
    }
}

Smart For-Loops

for i by *2 in 1 to 10 {  # Complex step patterns
    # Loop body
}

Language Example

unit sample.program

get {
    lang.Math
}

share InteractiveDemo {

    local calculate(a: int, b: int, op: text)
    :: formula: int, operation: text
    {
        if all[a >= 0, b >= 0] {
            if op == any["+", "-", "*"] {
                ~> a + b, "valid operation"
            }
        }
        ~> 0, "invalid"
    }
}

The system has an on going TAC Compiler for efficient execution across both interpreter and native compilation targets.

System Requirements

· Java 7 or later

· Linux environment (Termux recommended for mobile)

Quick Start

# Run interpreter
java -jar coderive.jar program.cod

# Compile to native
java -jar coderive.jar --native program.cod
Component Status Notes
Interpreter ✅ Complete Full language features
Native Code Generation ✅ Complete ARM64/x86_64 support
TAC Compiler 🔧 In Progress Enhanced implementation

This project is licensed under the MIT License.

Have questions or want to contribute?

Join our community discussions:

· GitHub Discussions - Ask questions and share ideas

· GitHub Issues - Report bugs and problems

· Developer's Email: [email protected]


Built with passion on mobile devices — proving innovation knows no hardware boundaries.

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