package tiny_libs
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From-scratch libraries for teaching: graphics, audio, compression, crypto, networking and more
Install
dune-project
Dependency
Authors
Maintainers
Sources
0.3.6.tar.gz
md5=7c636383d146d30ac6f2fa234a6253c8
sha512=c79f3823c5f8f57e5038eb640d487c61168b84aa07c61999d6622ef9fd0c890e2b03b4c6a7cdbbe9352a49e25dda00ac7bb14693cee8e3d7beeed251351a2af0
doc/src/tiny_libs.networking_netcode/Prediction.ml.html
Source file Prediction.ml
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56(* Claude Code * * Copyright (C) 2026 Yoann Padioleau * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Library General Public License * (LGPL) as published by the Free Software Foundation; either version * 2 of the License, or (at your option) any later version. *) (* See Prediction.mli *) type 'model t = { me : int; update : string array -> 'model -> 'model; mutable model : 'model; (* the others' inputs, guessed: their latest *) mutable latest : string array; (* mine not yet confirmed: their number, the input, and the model I * predicted after it (to compare with the server's) *) mutable pending : (int * string * 'model) list; mutable mispredictions : int; } let create ~(me : int) ~(players : int) ~update (model : 'model) : 'model t = { me; update; model; latest = Array.make players ""; pending = []; mispredictions = 0 } (* one tick: my input, the others' latest *) let play (t : 'model t) (input : string) (model : 'model) : 'model = t.update (Array.mapi (fun p latest -> if p = t.me then input else latest) t.latest) model let step (t : 'model t) ~(seq : int) (input : string) : unit = t.model <- play t input t.model; t.pending <- t.pending @ [ (seq, input, t.model) ] let correct (t : 'model t) ~(world : 'model) ~(acked : int) ~(latest : string array) : unit = (* what I had predicted after [acked], against the server's *) (match List.find_opt (fun (seq, _, _) -> seq = acked) t.pending with | Some (_, _, predicted) when Checksum.of_model predicted <> Checksum.of_model world -> t.mispredictions <- t.mispredictions + 1 | _ -> ()); t.latest <- latest; t.pending <- List.filter (fun (seq, _, _) -> seq > acked) t.pending; (* the server's world, mine not yet applied played again on it *) let model, pending = List.fold_left (fun (model, acc) (seq, input, _) -> let model = play t input model in (model, (seq, input, model) :: acc)) (world, []) t.pending in t.model <- model; t.pending <- List.rev pending let model (t : 'model t) : 'model = t.model let mispredictions (t : 'model t) : int = t.mispredictions
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