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ivanshim

ivanshim/lumen-lang00

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README.md

Lumen-Lang

A minimal, experimental programming language interpreter framework exploring language design, multi-kernel architectures, and separation of concerns between kernel logic and language semantics.


Quick Start

Requirements

  • Git
  • RustCore (https://www.rust-lang.org/tools/install)

Installation & Running

git clone https://github.com/ivanshim/lumen-lang.git
cd lumen-lang
cargo build
cargo run examples/lumen/loop.lm

Example Programs

# Lumen (Python-style indentation)
cargo run examples/lumen/fibonacci.lm

# RustCore (Rust-style curly braces)
cargo run examples/rust/demo.rs

# PythonCore (Python-like syntax)
cargo run examples/python/fibonacci.py

Language Features

All supported languages include:

  • ✅ Variables and arithmetic expressions
  • ✅ Comparison and logical operators
  • ✅ If/else conditionals
  • ✅ While loops with break/continue
  • ✅ Proper operator precedence
  • ✅ Lexical scoping

Supported Languages

| Language | File Extension | Style | Status | |----------|---|---|---| | Lumen | .lm | Python-style indentation | ✅ Active | | Rust | .rs | Rust-style curly braces | ✅ Active | | Python | .py | Python-like syntax | ✅ Active |


Development Tracks

Lumen has 4 independent development tracks, each with its own architecture and purpose:

Track 1: Microcode Kernel (src_microcode/kernel/)

  • Design: Data-driven, table-based execution engine
  • Pipeline: 4-stage (Ingest → Structure → Reduce → Execute)
  • Principle: ALL language semantics in declarative schemas, ZERO semantic logic in kernel code
  • Language-Agnostic: Kernel makes no assumptions about syntax or semantics
  • Track 2: Stream Kernel (src_stream/kernel/)

    • Design: Procedural, AST-based execution engine
    • Pipeline: Parse → AST → Tree-Walking Interpreter
    • Principle: Language-agnostic core with trait-based handler dispatch
    • Language-Agnostic: Generic parser delegates all decisions to registered handlers

    Track 3: Lumen Language (Primary Language)

    • Stream Implementation: src_stream/languages/lumen/
    • Microcode Implementation: src_microcode/languages/lumen/
    • Style: Python-style indentation-based syntax
    • Role: Reference implementation demonstrating both kernels

    Track 4: Other Language Examples

    • Rust: src_stream/languages/rust_core/ + src_microcode/languages/rust_core/
      • Rust-style curly braces and let bindings
    • Python: src_stream/languages/python_core/ + src_microcode/languages/python_core/
      • Python-like syntax with indentation

    Key Design Principle: Each kernel is completely independent with zero cross-imports, allowing independent evolution. The src/main.rs dispatcher routes between kernels and languages.


    Testing

    Run the full test suite (68 tests across all kernels and languages):

    ./test_all.sh
    

    Current Status: ✅ All 68 tests passing (48 Lumen, 10 Python, 10 Rust)


    Documentation

    Comprehensive documentation is organized in the docs/ directory:

    Project Structure

    • DIRECTORY_STRUCTURE.txt - Complete directory and file organization

    Kernel Architecture

    • LUMEN_KERNEL_STREAM.md - Stream kernel design and philosophy
    • LUMEN_KERNEL_MICROCODE.md - Microcode kernel design and 4-stage pipeline

    Lumen Language Documentation

    • LUMEN_LANGUAGE_BNF.md - Lumen grammar specification
    • LUMEN_LANGUAGE_DESIGN.md - Language design and semantics
    • LUMEN_LANGUAGE_EXTERN_SYSTEM.md - External function system design
    • LUMEN_LANGUAGE_ROADMAP.md - Planned features and improvements

    Release Information

    • VERSION_HISTORY.md - Complete version history and release notes

    Key Features

    Dual-Kernel Architecture

    • Stream Kernel: Immediate AST-based execution
    • Microcode Kernel: Data-driven schema-based execution
    • Independent Evolution: Both kernels fully tested, zero cross-imports

    Multi-Language Support

    • Lumen: Python-style indentation-based syntax
    • Rust: Rust-style curly brace syntax
    • Python: Python-like syntax with indentation

    Language Neutrality

    • Kernel contains zero language-specific assumptions
    • Values are opaque RuntimeValue traits (not kernel enums)
    • All semantics belong to language modules

    Proper Abstractions

    • Strings implemented at language level (not kernel)
    • Extern system designed for host-agnostic extensibility
    • Clear separation: Kernel owns mechanics, languages own semantics

    Mathematical Proof Programs

    • Canonical π (Pi) computation using Machin's formula
    • Canonical e (Euler's number) using factorial series
    • Integer-only, fixed-point implementations with deterministic output
    • Available in all 3 languages

    Project Philosophy

    Lumen is not a production language but an exploration of:

    • Language design and parsing mechanics
    • Multi-kernel execution architectures
    • Separation of concerns (kernel vs. language semantics)
    • Data-driven language design patterns
    • Canonical implementations of complex algorithms

    Usage Examples

    Run with Automatic Language Detection

    # Detect language from file extension
    cargo run examples/lumen/fibonacci.lm
    cargo run examples/rust/demo.rs
    cargo run examples/python/fibonacci.py
    

    Run with Explicit Kernel Selection

    # Stream kernel (default for most)
    cargo run -- --kernel stream examples/lumen/pi.lm
    
    # Microcode kernel
    cargo run -- --kernel microcode examples/lumen/pi.lm
    

    Example Output

    $ cargo run examples/lumen/loop.lm
    0
    1
    2
    3
    4
    

    Contributing

    This is an educational project. Contributions for:

    • New language implementations
    • Additional kernel architectures
    • Improved documentation
    • Bug fixes and optimizations

    are welcome!


    License

    This project is provided as-is for educational and experimental purposes.


    Contact & Attribution

    Project Lead: Ivan Shim Contributors: GPT-5.2 (prompting), Claude Code Haiku 4.5 (implementation) Repository: https://github.com/ivanshim/lumen-lang


    Status: ✅ All 68 tests passing (48 Lumen, 10 Python, 10 Rust)

    For release notes and version history, see docs/VERSION_HISTORY.md

    For planned enhancements, see docs/LUMEN_LANGUAGE_ROADMAP.md

    Ecosystem Role

    Standard MoltPulse indexed agent.