building_blocks_storage 0.7.1

Efficient storage for maps on sparse or dense, 2D and 3D integer lattices.
Documentation

Various types of storage and indexing for voxels in 2 or 3 dimensions.

If you need to store signed distance values in your voxels, consider using the Sd8 and Sd16 fixed-precision types which implement the SignedDistance trait required for smooth meshing.

The core storage types are:

  • Array: N-dimensional, single resolution, bounded, dense array
  • ChunkMap: N-dimensional, multiple resolution, unbounded, sparse array
  • Backed by generic chunk storage, with HashMap or CompressibleChunkStorage implementations

Then there are "meta" lattice maps that provide some extra utility:

  • TransformMap: a wrapper of any kind of lattice map that performs an arbitrary transformation
  • Func: some lattice map traits are implemented for closures (like SDFs)

For hierarchical indexing and level of detail: