[package]
name = "hyperbolic-attention"
version = "0.1.0"
edition = "2021"
license = "MIT OR Apache-2.0"
authors = ["rUv Research <research@ruv.io>"]
repository = "https://github.com/ruvnet/ruvector"
homepage = "https://ruv.io/research"
documentation = "https://docs.rs/hyperbolic-attention"
description = "Hyperbolic attention networks with O(log n) hierarchical reasoning capacity"
keywords = ["hyperbolic", "attention", "geometry", "neural", "transformer"]
categories = ["science", "algorithms", "mathematics"]
readme = "README.md"

[workspace]
# This package is not part of the parent workspace

[lib]
name = "hyperbolic_attention"
path = "src/lib.rs"

[dependencies]
# Core dependencies would go here in production
# For research prototype, keeping minimal

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

[[bench]]
name = "hyperbolic_ops"
harness = false
path = "benches/hyperbolic_ops.rs"
required-features = []

[profile.release]
opt-level = 3
lto = "fat"
codegen-units = 1

# Enable SIMD optimizations
[target.'cfg(target_arch = "x86_64")'.dependencies]

[target.'cfg(target_arch = "aarch64")'.dependencies]

[features]
default = []

# SIMD optimizations (enabled by default on supported platforms)
simd = []

# Linear attention (O(n) complexity)
linear-attention = []

# Multi-curvature product spaces
multi-curvature = []

# Full feature set
full = ["simd", "linear-attention", "multi-curvature"]