systile 1.0.0

Matmul-native data structures & algorithms: 17 structures (holographic memory, semiring graphs, automata, attention, DFT, Viterbi, k-NN, Bloom, sort, scan, …) whose core operation reduces to a dense matmul, built on a TPU-style tiled tensor with a systolic reference engine.
Documentation 
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//! The common imports. `use systile::prelude::*;` brings in everything you need to
//! build, transform, and multiply lattices.

pub use crate::attention::TensorAttention;
pub use crate::automaton::TensorAutomaton;
pub use crate::bf16::Bf16;
pub use crate::bloom::TensorBloom;
pub use crate::classifier::HoloClassifier;
pub use crate::codebook::Codebook;
pub use crate::conv::TensorConv;
pub use crate::dft::TensorDFT;
pub use crate::editdist::TensorEditDistance;
pub use crate::error::{LatticeError, Result};
pub use crate::geometry::Geometry;
pub use crate::graph::TensorGraph;
pub use crate::holo::HoloMemory;
pub use crate::holoset::HoloSet;
pub use crate::hyper::Hyper;
pub use crate::index::{Hit, TensorIndex};
pub use crate::lattice::PaddedTileLattice;
pub use crate::mask::Mask;
pub use crate::pagerank::TensorPageRank;
pub use crate::quantize::QuantParams;
pub use crate::resonator::{Factorization, Resonator};
pub use crate::scan::TensorScan;
pub use crate::semiring::{Boolean, Counting, MaxPlus, Semiring, Tropical};
pub use crate::sequence::HoloSequence;
pub use crate::shape::Shape;
pub use crate::sketch::CountMinSketch;
pub use crate::sort::TensorSort;
pub use crate::sparse::IsZero;
pub use crate::systolic::{Numeric, SystolicStats};
pub use crate::topk::TensorTopK;
pub use crate::viterbi::TensorViterbi;