//! Supervised ML models for Foxhunt HFT trading
//!
//! Contains 8 model architectures: TFT, Mamba-2, Liquid, TGGN, TLOB, KAN, xLSTM, Diffusion.
//! Each model directory contains the core network, layers, and self-contained training logic.
//! Checkpointable impls live in the `checkpoint` module. `UnifiedTrainable` adapters live in `ml`.

#![allow(clippy::module_name_repetitions)]
#![allow(clippy::integer_division)]
#![allow(clippy::shadow_reuse, clippy::shadow_same, clippy::shadow_unrelated)] // Tensor ops: let x = x.relu() is idiomatic
#![allow(clippy::non_ascii_literal)] // Math symbols in ML documentation and error messages
#![allow(clippy::partial_pub_fields)] // ML config structs: some fields are pub API, some internal
#![allow(clippy::same_name_method)] // Intentional: inherent methods shadow trait defaults for ML-specific behavior
#![allow(clippy::indexing_slicing)] // Tensor/matrix indexing with bounds guaranteed by construction
#![allow(clippy::similar_names)] // ML naming: min_val/max_val, state/states are conventional
#![allow(clippy::type_complexity)] // Complex generic types in neural network layers
#![allow(clippy::single_char_lifetime_names)] // 'a is idiomatic Rust

// Re-export shared types from ml-core
pub use ml_core::xavier_init;

// GPU tensor abstraction (cudarc CudaSlice + cuBLAS)
pub mod gpu_tensor;

pub mod tft;
pub mod mamba;
pub mod liquid;
pub mod tgnn;
pub mod tlob;
pub mod kan;
pub mod xlstm;
pub mod diffusion;

// Checkpoint impls (Checkpointable for Mamba2SSM, TGGN)
pub mod checkpoint;