o zi@sHddlmZddlZddlmZddlmZd deded efd d ZdS) )CallableN)Tensor)tqdm?xdrift_fnNcKs|rdnd}|j^}} t|g|j|} |||} tt||dD]!} ||| || } |d|| ||| | | | }| | } q%|S)a A basic implementation of Heun second order discretisation method of the ODE associated with the marginales of the learned SDE. x: Initial state drift_fn: Update the state x N: Number of steps t0: Initial time of integration, defaults to 0. t1: Final time of integration, defaults to 1. Returns the final state FT)disableg?)shapetorchonestodevicerrange)rrr t0t1verbosekwargsr BDtdt_new_xrI/home/ubuntu/.local/lib/python3.10/site-packages/score_models/ode/heun.pyheuns  $ r)rrr)typingrr rrintrrrrrs