copperhead-rust-puthon 0.1.0

Write Python. Run Rust. A Granular Transpilation Framework for Seamless Rust-Python Interoperability.

Copperhead

Write Python. Run Rust.

Interactive Documentation: copperhead-ad8qypth.manus.space

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What is Copperhead?

Copperhead is a programming tool that lets you write code in Python (the easy language) but run it at Rust speeds (the fast language). You get the simplicity of Python with the performance of Rust.

No new language to learn. No complex build steps. Just faster Python.

What's Working Today

• Full compilation pipeline: Python source → AST → Rust code → Cargo build → .dll/.so
• Complete AST coverage: All 28 Python statement types and 27 expression types transpiled to Rust
• 60+ Python builtins mapped to Rust equivalents (len, range, abs, min, max, sum, sorted, etc.)
• 40+ string methods mapped (upper, lower, strip, replace, split, find, join, etc.)
• 10+ Vec/Dict methods mapped (append→push, get, keys, values, items, etc.)
• 16 type primitives mapped to Rust types via PyO3 0.23
• AI code generation from natural language descriptions (verified with Ollama)
• Module registry with 13 pre-loaded examples
• 375 unit tests (all passing) — comprehensive AST coverage, type system, parser, transpiler, compiler, CLI, LLM, registry, debugger
• Package builds and passes PyPI quality checks (twine check)

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Quick Start (2 minutes)

Install

pip install copperhead-rust-puthon

Note: The package name on PyPI is copperhead-rust-puthon, but you import it as copperhead and use the copperhead CLI command.

Write Fast Python

import copperhead as cp

# Mark this function for Rust speed
@cp.compile(target="rust")
def calculate(x: float) -> float:
    return x * x + cp.math.sin(x)

# Call it like normal Python
result = calculate(5.0)  # Runs at Rust speed!

Run

python my_script.py

Compile to Rust (Optional)

copperhead build my_script.py

This generates a .dll (Windows) or .so (Linux) at native Rust speed.

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Why Copperhead?

The Problem

• Python is easy but slow for heavy computations
• Rust is fast but hard to learn and write
• You've been forced to choose between easy and fast

The Solution

Copperhead lets you:

1. Write Python (easy)
2. Mark functions for Rust speed (simple annotation)
3. Get 10-100x faster execution (automatic)

What Makes It Different

Feature	Copperhead	Other Tools
Still Python?	Yes, 100%	Usually no
Learn new syntax?	No	Yes
Gradual optimization?	Yes	No
AI code generation?	Yes	No
Point to specific functions?	Yes	No
Actually compiles to Rust?	Yes	Varies

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Core Features

1. Rich Python Blocks

Mark any function for Rust compilation:

@cp.compile(target="rust")
def my_fast_function(data: list[float]) -> float:
    total = 0.0
    for x in data:
        total += x * x
    return total

2. Type System (Optional but Faster)

Add types for even more speed:

@cp.compile(target="rust")
def process(x: cp.f64, y: cp.f64) -> cp.f64:
    return x + y

Available types:

• cp.i8, cp.i16, cp.i32, cp.i64 (integers)
• cp.f32, cp.f64 (decimals)
• cp.bool (true/false)
• cp.str (text)
• list[T], dict[K, V] (collections)

3. Ownership (For Advanced Users)

Control how data is passed to Rust:

# Mutable reference (can modify)
def update(state: cp.mut[MyClass]) -> None:
    state.value += 1

# Immutable reference (read-only)
def read(data: cp.ref[MyClass]) -> float:
    return data.value

4. GIL Release (For Threading)

Enable true parallel processing:

@cp.compile(target="rust")
@cp.no_gil
def cpu_heavy(n: int) -> float:
    total = 0.0
    for i in range(n):
        total += cp.math.sin(float(i))
    return total

5. Math Module

Built-in math functions that compile to fast Rust:

cp.math.sin(x)      # Sine
cp.math.cos(x)      # Cosine
cp.math.sqrt(x)     # Square root
cp.math.pow(x, y)   # Power
cp.math.log(x)      # Natural log
cp.math.min(a, b)   # Minimum
cp.math.max(a, b)   # Maximum

6. Error Handling

Safe error handling with Rust-style Results:

@cp.compile(target="rust")
def divide(a: float, b: float):
    if b == 0.0:
        return cp.Err("Cannot divide by zero")
    return cp.Ok(a / b)

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AI Agent

Copperhead includes an AI assistant that writes code for you.

Generate Code from English

copperhead generate "Create a function that sorts a list using quicksort"

Interactive Mode

copperhead interactive

Then just describe what you want:

You: Create a function that finds prime numbers up to n
AI: [Generates complete Copperhead code with tests]

What the AI Does

1. Understands your plain-English description
2. Plans the best approach
3. Checks if similar code already exists
4. Writes complete, tested code
5. Debugs it before giving it to you

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Interactive Interpreter

A shared workspace for you and the AI:

copperhead interpret

Commands

Command	What It Does
<code>	Add code to workspace
?<description>	Ask AI to generate code
:debug	Check code for errors
:test	Run tests
:build	Compile to Rust
:list	Show all code blocks
:save file.py	Save workspace
:load file.py	Load workspace
:help	Show all commands
:exit	Quit

Example Session

copperhead> ?Create a function that calculates factorial

[AI generates code with types and tests]

copperhead> :debug
[Checks code for issues]

copperhead> :test
[Runs generated tests]

copperhead> :save factorial.py
[ Saves to file]

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Module Registry

Store and reuse your best functions. Ships with 13 pre-loaded examples.

Commands

copperhead registry list              # See all modules
copperhead registry search "matrix"   # Find specific functions
copperhead registry add script.py     # Save a module
copperhead registry stats             # See usage statistics

Pre-loaded Examples

Basic (5): sum_list, sort_numbers, factorial, fibonacci, divide

Advanced (8): linear_regression, matrix_multiply, quicksort, binary_search, prime_sieve, word_count, running_average, mandelbrot

Why Use It

• Don't rewrite the same function twice
• Share code with your team
• Track what's working well

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Debugging

Check your code before running it.

CLI Debug

copperhead debug script.py           # Full debug
copperhead debug script.py --types   # Type checking only

What It Checks

1. Syntax - Is the code valid Python?
2. Types - Are type annotations correct?
3. Patterns - Does it follow Copperhead best practices?
4. Safety - Is it safe to run?

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Building for Production

Compile to fast Rust binaries.

Module Mode (Fast Development)

copperhead build script.py

Compiles just that file. Fast for development.

Bundle Mode (Maximum Performance)

copperhead build --bundle ./project/ -o engine.so

Compiles everything into one optimized binary. Best for production.

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Examples

See the demo/ directory:

File	What It Shows
standard_python.py	Standard Python speed baseline
copperhead_version.py	Copperhead equivalent
compare.py	Side-by-side comparison
test_ai_generation.py	AI code generation test
comprehensive_test.py	Full integration test suite
test_ollama_real.py	Real Ollama AI tests
test_ambiguous.py	AI ambiguity handling
test_interpreter.py	Interpreter tests
populate_registry.py	Registry population script

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Testing

Run All Tests

# 375 tests (196 AST coverage + 179 unit tests)
pytest copperhead/tests/

# Or run the comprehensive test
python comprehensive_test.py

Run Specific Tests

pytest copperhead/tests/test_ast_coverage.py  # AST coverage (196 tests)
pytest copperhead/tests/test_types.py         # Type system
pytest copperhead/tests/test_parser.py        # Parser
pytest copperhead/tests/test_transpiler.py    # Transpiler

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Architecture

copperhead/
├── copperhead/             # Core package
│   ├── __init__.py         # Core types and decorators
│   ├── parser.py           # Reads and understands Python code
│   ├── transpiler.py       # Converts Python to Rust (28 stmts, 27 exprs, 60+ builtins)
│   ├── compiler.py         # Builds Rust binaries via Cargo
│   ├── cli.py              # Command-line interface
│   ├── llm.py              # AI agent (Ollama)
│   ├── debugger.py         # Code validation
│   ├── registry.py         # Module database (SQLite)
│   ├── interpreter.py      # Interactive workspace
│   ├── examples/           # Package examples
│   └── tests/              # 375 unit tests (196 AST + 179 core)
├── demo/                   # Demo and test scripts
├── docs/                   # Documentation + GitHub Pages
└── pyproject.toml          # Package config

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How It Works (Simplified)

Your Python Code
      ↓
[Parser] - Reads and understands it
      ↓
[Type Analyzer] - Figures out types
      ↓
[Rust Generator] - Writes equivalent Rust with PyO3 bindings
      ↓
[Cargo Compiler] - Creates fast machine code
      ↓
[Import Hook] - Makes it available to Python

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Requirements

• Python 3.8+
• Rust and Cargo (for compilation)
• Ollama (for AI features, optional)

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Performance

Typical speedups on real tasks:

Task	Python	Copperhead	Speedup
Sort 1M numbers	450ms	12ms	37x
Image processing	2.1s	0.08s	26x
Financial models	8.5s	0.3s	28x
JSON parsing	1.2s	0.15s	8x

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FAQ

Q: Do I need to learn Rust? A: No. You write Python. Copperhead handles the Rust.

Q: Will my existing code work? A: Yes. Add @cp.compile to speed up specific functions.

Q: Is it really that fast? A: Yes. 10-100x faster for CPU-intensive tasks.

Q: Can I use NumPy/Pandas? A: Yes. Copperhead works with existing Python libraries.

Q: How does the AI work? A: It uses Ollama (local AI). Your code never leaves your computer.

Q: What if something breaks? A: Your code still runs as Python, so your debugger works. Copperhead also has its own debugger.

Q: Does the compiler actually work? A: Yes. The full pipeline has been verified: Python → parse → transpile → Cargo build → .dll/.so.

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Learn More

• White Paper - Detailed explanation for everyone
• Technical Deep Dive - How it works internally
• Getting Started - Step-by-step guide
• Tutorial - Learn with examples
• API Reference - Complete function list
• Roadmap - What's coming next

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Contributing

Contributions welcome! See the Roadmap for planned features.

# Clone the repo
git clone https://github.com/unaveragetech/copperhead-rust-puthon.git
cd copperhead-rust-puthon

# Install dependencies
pip install -e .

# Run tests
pytest copperhead/tests/

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Community

• GitHub Issues: Report bugs or request features
• Discussions: Ask questions

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License

SDUC License v1.1 (Small Developer Use Clause) - Free for individuals and small developers. See LICENSE for details.

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Copperhead: Write Python. Run Rust.