[package]
name = "rtx-slidescope"
version = "0.1.0"
edition = "2024"
description = "GPU-accelerated pathology slide processing with NMF stain unmixing"
license = "MIT OR Apache-2.0"
rust-version = "1.92"

[features]
default = ["cpu"]
cpu = ["rtx-tensor/cpu"]
cuda = ["rtx-tensor/cuda", "dep:cudarc"]
metal = ["rtx-tensor/metal"]

[dependencies]
# RustyTorch++ core tensor library (unified GPU backend)
rtx-tensor = { path = "../../crates/core/rtx-tensor", default-features = false }

# Internal crates
slidescope-shared = { path = "../slidescope-shared" }

# GPU acceleration - CUDA (NVIDIA) - only for direct cudarc access if needed
cudarc = { version = "0.18", features = ["std", "driver", "runtime", "nvrtc", "cublas"], optional = true }

# Math and arrays
ndarray = { version = "0.16", features = ["rayon"] }
rayon = "1.10"

# Image processing
image = { version = "0.25", features = ["tiff", "png", "jpeg"] }

# Random number generation
rand = "0.8"
rand_chacha = "0.3"

# Error handling
anyhow = "1.0"
thiserror = "2"

# Logging
tracing = "0.1"

# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"

[dev-dependencies]
tokio-test = "0.4"

[lints]
workspace = true