oak-matlab

Crates.iooak-matlab
lib.rsoak-matlab
version0.0.1
created_at2025-10-21 02:41:36.910702+00
updated_at2026-01-23 04:41:48.982247+00
descriptionMATLAB numerical computing language parser with support for scientific computing, data analysis, and visualization.
homepagehttps://github.com/ygg-lang/oaks
repositoryhttps://github.com/ygg-lang/oaks
max_upload_size
id1893183
size85,662
publisher (github:ygg-lang:publisher)

documentation

https://docs.rs/oak-matlab

README

Oak MATLAB Parser

Crates.io Documentation

High-performance incremental MATLAB parser for the oak ecosystem with flexible configuration, optimized for scientific computing and data analysis.

🎯 Overview

Oak MATLAB is a robust parser for MATLAB, designed to handle complete MATLAB syntax including modern features. Built on the solid foundation of oak-core, it provides both high-level convenience and detailed AST generation for static analysis and code generation.

✨ Features

  • Complete MATLAB Syntax: Supports all MATLAB features including modern specifications
  • Full AST Generation: Generates comprehensive Abstract Syntax Trees
  • Lexer Support: Built-in tokenization with proper span information
  • Error Recovery: Graceful handling of syntax errors with detailed diagnostics

🚀 Quick Start

Basic example:

use oak_matlab::{Parser, MatlabLanguage, SourceText};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let parser = Parser::new();
    let source = SourceText::new(r#"
function result = add(a, b)
    result = a + b;
end

disp('Hello, MATLAB!');
    "#);
    
    let result = parser.parse(&source);
    println!("Parsed MATLAB successfully.");
    Ok(())
}

📋 Parsing Examples

Function Parsing

use oak_matlab::{Parser, MatlabLanguage, SourceText};

let parser = Parser::new();
let source = SourceText::new(r#"
function result = factorial(n)
    if n <= 1
        result = 1;
    else
        result = n * factorial(n - 1);
    end
end
"#);

let result = parser.parse(&source);
println!("Function parsed successfully.");

Matrix Operations Parsing

use oak_matlab::{Parser, MatlabLanguage, SourceText};

let parser = Parser::new();
let source = SourceText::new(r#"
A = [1, 2, 3; 4, 5, 6; 7, 8, 9];
B = A';
C = A .* B;
D = A \ B;
E = det(A);
F = eig(A);
"#);

let result = parser.parse(&source);
println!("Matrix operations parsed successfully.");

🔧 Advanced Features

Token-Level Parsing

use oak_matlab::{Parser, MatlabLanguage, SourceText};

let parser = Parser::new();
let source = SourceText::new("x = 42;");
let result = parser.parse(&source);
println!("Token parsing completed.");

Error Handling

use oak_matlab::{Parser, MatlabLanguage, SourceText};

let parser = Parser::new();
let source = SourceText::new(r#"
% Invalid MATLAB code example
function broken_function(
    disp('Hello'
% Missing closing parenthesis and end
"#);

let result = parser.parse(&source);
if let Some(errors) = result.result.err() {
    println!("Parse errors found: {:?}", errors);
} else {
    println!("Parsed successfully.");
}

🏗️ AST Structure

The parser generates a comprehensive AST with the following main structures:

  • MatlabProgram: Root container for MATLAB programs
  • Function: MATLAB functions and methods
  • Statement: Various statement types including control flow
  • Expression: Various expression types including operators
  • Matrix: MATLAB matrix constructs

📊 Performance

  • Streaming: Parse large MATLAB files without loading entirely into memory
  • Incremental: Re-parse only changed sections
  • Memory Efficient: Smart AST node allocation
  • Fast Recovery: Quick error recovery for better IDE integration

🔗 Integration

Oak MATLAB integrates seamlessly with:

  • Static Analysis: Code quality and security analysis
  • Code Generation: Generating code from MATLAB AST
  • IDE Support: Language server protocol compatibility
  • Refactoring: Automated code refactoring
  • Documentation: Generating documentation from MATLAB code

📚 Examples

Check out the examples directory for comprehensive examples:

  • Complete MATLAB program parsing
  • Function and matrix analysis
  • Code transformation
  • Integration with development workflows

🤝 Contributing

Contributions are welcome!

Please feel free to submit pull requests at the project repository or open issues.

Commit count: 80

cargo fmt