[package]
name = "ruvector-attention"
version.workspace = true
edition.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
description = "Attention mechanisms for ruvector - geometric, graph, and sparse attention"
keywords = ["attention", "machine-learning", "vector-search", "graph-attention"]
categories = ["algorithms", "science"]

[lib]
crate-type = ["rlib"]

[features]
default = ["simd"]
simd = []
wasm = []
napi = ["dep:napi-derive", "dep:napi"]
# Enable advanced math-based attention mechanisms
math = ["dep:ruvector-math"]
# Enable sheaf attention (Coherence-Gated Transformer per ADR-015)
sheaf = []

[dependencies]
thiserror = "1.0"
rayon = "1.10"
serde = { version = "1.0", features = ["derive"] }
rand = "0.8"
napi = { version = "2", optional = true }
napi-derive = { version = "2", optional = true }

# Advanced math primitives for OT, mixed-curvature, and topology-gated attention
ruvector-math = { version = "2.0", path = "../ruvector-math", optional = true }

[dev-dependencies]
criterion = "0.5"
approx = "0.5"
rand = "0.8"

[[bench]]
name = "attention_bench"
harness = false

[[bench]]
name = "attention_benchmarks"
harness = false

[[bin]]
name = "bench_runner"
path = "benches/attention_benchmarks.rs"