[package]
name = "ruvector-learning-wasm"
version = "0.1.0"
edition = "2021"
description = "Ultra-fast MicroLoRA adaptation for WASM - rank-2 LoRA with <100us latency for per-operator learning"
license = "MIT OR Apache-2.0"
repository = "https://github.com/ruvnet/ruvector"
homepage = "https://ruv.io"
documentation = "https://docs.rs/ruvector-learning-wasm"
authors = ["rUv <ruvnet@users.noreply.github.com>"]
keywords = ["lora", "machine-learning", "wasm", "neural-network", "adaptation"]
categories = ["algorithms", "wasm", "science", "no-std"]
rust-version = "1.70"

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

[dependencies]
wasm-bindgen = "0.2"
js-sys = "0.3"
serde = { version = "1.0", features = ["derive"], optional = true }
serde-wasm-bindgen = { version = "0.6", optional = true }

[dev-dependencies]
wasm-bindgen-test = "0.3"

[features]
default = ["std"]
std = []
serde = ["dep:serde", "dep:serde-wasm-bindgen"]
simd = []  # Enable SIMD optimizations when available

[profile.release]
opt-level = "z"
lto = true
codegen-units = 1
panic = "abort"
strip = true

[profile.release.package."*"]
opt-level = "z"

[package.metadata.wasm-pack.profile.release]
wasm-opt = false