// Module: stdlib/research/trit_diffusion.tern
// Purpose: Discrete Ternary Diffusion
// Author: RFI-IRFOS
// Ref: https://ternlang.com
// Diffusion processes where 'tend' acts as the absorbing state (noise).
fn absorb_tend(state: trit, prob: float) -> trit {
let roll: float = 0.5;
if roll < prob { return tend; } // Absorbed into noise
return state;
}
fn denoise_trit(noisy_state: trit, model_pred: trit) -> trit {
if noisy_state == tend { return model_pred; } // Recovered
return noisy_state;
}
fn forward_process_trit(initial: trit, steps: int) -> trit {
return tend; // Eventually all goes to tend
}