Standard Library

The AodhML standard library provides core functionality organized into modules.

Prototype Status: The standard library is partially implemented. Listed modules marked "Planned" are not yet available.

Core Modules

Module	Description	Status
`std:io`	Console I/O, file operations	Partial
`std:math`	Mathematical functions	Partial
`std:random`	Pseudo-random number generation	Partial
`std:string`	String manipulation	Partial
`std:array`	Array/List operations	Partial
`std:map`	Map/dictionary operations	Planned

AI/ML Modules

Module	Description	Status
`std:tensor`	Tensor creation and operations	Partial
`std:nn`	Neural network layers	Planned
`std:optim`	Optimization algorithms	Planned
`std:loss`	Loss functions	Planned
`std:dataset`	Dataset loading and batching	Planned

IO Functions

fn println(...args)              // Print to stdout with newline
fn print(...args)               // Print to stdout without newline
fn read_line() -> String        // Read a line from stdin
fn read_file(path: String) -> Result<String, Error>
fn write_file(path: String, content: String) -> Result<void, Error>

Math Functions

fn abs(x: f64) -> f64
fn sqrt(x: f64) -> f64
fn pow(base: f64, exp: f64) -> f64
fn sin(x: f64) -> f64
fn cos(x: f64) -> f64
fn tan(x: f64) -> f64
fn log(x: f64) -> f64
fn exp(x: f64) -> f64
fn floor(x: f64) -> f64
fn ceil(x: f64) -> f64
fn round(x: f64) -> f64

const PI: f64 = 3.141592653589793
const E: f64 = 2.718281828459045

Tensor Functions

fn zeros(shape: [u32]) -> Tensor<f32>
fn ones(shape: [u32]) -> Tensor<f32>
fn randn(shape: [u32]) -> Tensor<f32>
fn matmul(a: Tensor<f32>, b: Tensor<f32>) -> Tensor<f32>
fn transpose(t: Tensor<f32>) -> Tensor<f32>
fn stack(tensors: [Tensor<f32>]) -> Tensor<f32>
fn concat(tensors: [Tensor<f32>], axis: u32) -> Tensor<f32>

PreviousGrammar