[package]
name = "rtx-automeasure"
version = "1.0.0"
edition.workspace = true
rust-version = "1.92"
authors = ["RustyTorch Team"]
description = "AutoML system for automatic model selection and hyperparameter optimization"
license = "MIT OR Apache-2.0"
repository = "https://github.com/rustytorch/rustytorch"

[dependencies]
# Core tensor and runtime dependencies
rtx-tensor = { path = "../../core/rtx-tensor" }
rtx-runtime = { path = "../../core/rtx-runtime" }

# AutoML specific dependencies
rtx-ml-classic = { path = "../../specialized/rtx-ml-classic" }
rtx-preprocessing = { path = "../rtx-preprocessing" }
rtx-validation = { path = "../../core/rtx-validation" }

# Core Rust dependencies
anyhow = "1.0"
thiserror = "2"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
uuid = { version = "1.0", features = ["v4"] }
chrono = { version = "0.4", features = ["serde"] }
log = "0.4"

# Numerical computing
ndarray = "0.15"
rand = "0.8"
rand_distr = "0.4"

# Optimization and machine learning
smartcore = "0.3"
linfa = "0.7"
linfa-bayes = "0.7"

# Async and parallelism
tokio = { version = "1.0", features = ["full"] }
futures = "0.3"
rayon = "1.7"

# System monitoring
sysinfo = "0.29"

[target.'cfg(target_os = "linux")'.dependencies]
procfs = "0.16"

[dev-dependencies]
tokio-test = "0.4"
criterion = { version = "0.5", features = ["html_reports"] }
approx = "0.5"
tempfile = "3.8"

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

[features]
default = ["gpu"]
gpu = []
cpu-only = []
[lints]
workspace = true