Cargo.toml

[package]
name = "cleora"
version = "1.1.0"
authors = ["Piotr Babel <piotr.babel@synerise.com>", "Jacek Dabrowski <jack.dabrowski@synerise.com>", "Konrad Goluchowski <konrad.goluchowski@synerise.com>"]
edition = "2018"
license-file = "LICENSE"
readme = "README.md"
description = """
Cleora is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
"""

[build]
rustflags = ["-C", "target-cpu=native"]

[dependencies]
bus = "2.2.3"
clap = "2.33.3"
env_logger = "0.8.2"
log = "0.4.11"
memmap = "0.7.0"
rayon = "1.5.0"
rustc-hash = "1.1.0"
smallvec = "1.5.1"
twox-hash = "1.6.0"
simdjson-rust = {git = "https://github.com/SunDoge/simdjson-rust"}
ryu = "1"
ndarray = "0.14"
ndarray-npy = "0.7"
serde_json = "1"
uuid = { version = "0.8.1", features = ["v4"] }

[dev-dependencies]
criterion = "0.3.3"
insta = "1.3.0"

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

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