[package]
name = "ml-ppo"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
homepage.workspace = true
documentation.workspace = true
publish.workspace = true
keywords.workspace = true
categories.workspace = true
description = "PPO reinforcement learning for Foxhunt trading"

[features]
default = ["cuda"]
cuda = ["ml-core/cuda", "cudarc"]

[dependencies]
ml-core.workspace = true
common.workspace = true

# CUDA (direct cudarc — candle eliminated)
cudarc = { version = "0.19", optional = true, default-features = false, features = ["driver", "cublas", "dynamic-linking", "std", "cuda-version-from-build-system", "f16"] }

# BF16 support
half.workspace = true

# Serialization
serde = { workspace = true, features = ["derive"] }
serde_json.workspace = true

# Core utilities
thiserror.workspace = true
anyhow.workspace = true
tracing.workspace = true
rand.workspace = true
rand_distr.workspace = true
rust_decimal.workspace = true

# CUDA helpers
fastrand = "2"

# Concurrency
parking_lot = { version = "0.12", features = ["hardware-lock-elision"] }

# Numerics
ndarray = { workspace = true, features = ["rayon"] }
statrs.workspace = true

[dev-dependencies]
tokio = { workspace = true, features = ["test-util", "macros"] }
approx.workspace = true

[lints]
workspace = true