Nitpick Standard Collections

While Nitpick provides highly optimized built-in compiler intrinsics for scoped collections (like astack and ahash), it also natively defines standard bounded collections in the type system.

1. Multi-dimensional Types

• Arrays: array<T, N> (Fixed-size array)
• Matrices: matrix<T, Rows, Cols> (Fixed-size 2D matrix)
• Tensors: tensor<T, Dimensions...> (N-dimensional tensor for ML data)

Usage Example:

// Array of 5 integers
array<int32, 5>:grades = [90i32, 85i32, 92i32, 88i32, 95i32];

// 4x4 Transformation Matrix
matrix<flt32, 4, 4>:transform;

2. Mathematical Vectors

Nitpick provides specific vector types corresponding to standard linear algebra concepts rather than just arrays of data. * vec2, vec3, vec4 (Standard 2D, 3D, and 4D mathematical vectors)

Usage Example:

vec3:position = vec3{1.0f32, 0.0f32, -5.0f32};

3. Byte Buffers

• buffer: An explicit chunk of sequential binary data, similar to Vec<u8> in Rust, but tightly controlled regarding alignment and capacity bounds.

Usage Example:

buffer:network_packet = buffer::with_capacity(1024i64);