[workspace]
members = ["examples/*", "benches/*"]

[workspace.package]
version = "0.2.1"
authors = ["Charles R Earp <charles.r.earp@gmail.com>"]
edition = "2021"
rust-version = "1.70.0"
documentation = "https://docs.rs/autograph"
readme = "README.md"
homepage = "https://github.com/charles-r-earp/autograph"
repository = "https://github.com/charles-r-earp/autograph"
license = "MIT OR Apache-2.0"
publish = true

[workspace.dependencies]
autograph_derive = { path = "autograph_derive", version = "=0.2.1" }
autograph = { path = ".", default-features = false }
anyhow = "1.0.37"
clap = "4.2.5"
rayon = "1.7.0"
crossbeam-channel = "0.5.8"
parking_lot = "0.12.1"
serde = { version = "1.0.126" }
serde_json = "1.0.96"
ndarray = { version = "0.15.6", default-features = false }
bytemuck = "1.4.1"
derive_more = { version = "0.99.11", default-features = false }
num-format = "0.4.4"

[package]
name = "autograph"
version.workspace = true
authors.workspace = true
edition.workspace = true
rust-version.workspace = true
description = "A machine learning library for Rust."
documentation.workspace = true
readme.workspace = true
homepage.workspace = true
repository.workspace = true
license.workspace = true
keywords = [
    "neural-networks",
    "machine-learning",
    "deep-learning",
    "autograd",
    "gpu",
]
categories = ["hardware-support", "science", "mathematics"]
publish.workspace = true
autobins = false
autobenches = false

[dependencies]
autograph_derive = { workspace = true, optional = true }
krnl = { version = "0.1.1", default-features = false }
anyhow.workspace = true
ndarray = { workspace = true, features = [
    "serde",
    "rayon",
    "matrixmultiply-threading",
] }
rand = { version = "0.8.4", optional = true }
serde = { workspace = true, features = ["derive", "rc"], optional = true }
derive_more = { workspace = true }
thiserror = "1.0.23"
approx = "0.5.0"
bytemuck.workspace = true
byteorder = { version = "1.4.3", optional = true }
dirs = { version = "3.0.2", optional = true }
flate2 = { version = "1.0.20", optional = true }
half = { version = "2.1.0", features = ["num-traits", "bytemuck", "serde"] }
paste = "1.0.7"
dry = "0.1.1"
crunchy = { version = "0.2.2" }
crossbeam-channel = { workspace = true, optional = true }
parking_lot = { workspace = true, optional = true }
rayon.workspace = true
once_cell = { version = "1.17.1", optional = true, features = ["std"] }
num-traits = "0.2.15"
wide = "0.7.13"
unchecked-index = "0.2.2"
curl = { version = "0.4.46", optional = true }
indicatif = { version = "0.17.8", optional = true }

[target.'cfg(target_family = "x86")'.dependencies]
cache-size = "0.6.0"

[dev-dependencies]
approx = "0.4.0"
serde_test = "1.0.160"
ndarray = { workspace = true, features = ["approx"] }

[target.'cfg(not(target_family = "wasm"))'.dev-dependencies]
libtest-mimic = "0.6.0"
tempfile = "3.10.1"

[target.'cfg(target_family = "wasm")'.dev-dependencies]
getrandom = { version = "0.2", features = ["js"] }
wasm-bindgen-test = "0.3.33"

[features]
default = ["device"]
device = ["krnl/device", "dep:once_cell"]
serde = ["dep:serde", "krnl/serde"]
dataset = []
iris = ["dataset"]
mnist = [
    "dataset",
    "dep:dirs",
    "dep:flate2",
    "dep:byteorder",
    "dep:indicatif",
    "dep:curl",
]
learn = []
neural-network = [
    "learn",
    "dep:autograph_derive",
    "dep:crossbeam-channel",
    "dep:parking_lot",
    "dep:rand",
    "dep:once_cell",
]

[package.metadata.docs.rs]
all-features = true
rustdoc-args = ["--cfg", "doc_cfg"]

[package.metadata.krnlc]
features = ["neural-network"]

[package.metadata.krnlc.dependencies]
half = { default-features = false, features = ["num-traits"] }
dry = {}
paste = {}
crunchy = { default-features = false, features = ["limit_64"] }

[[test]]
name = "integration_tests"
path = "tests/integration_tests.rs"
harness = false