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-rw-r--r--calculette_aoo/lib/build.ml58
1 files changed, 21 insertions, 37 deletions
diff --git a/calculette_aoo/lib/build.ml b/calculette_aoo/lib/build.ml
index ddefe67..5c2ac0b 100644
--- a/calculette_aoo/lib/build.ml
+++ b/calculette_aoo/lib/build.ml
@@ -9,54 +9,41 @@ type build = {
type env = {
cout_sort : int
; degat_sort : int
- ; max_tours : float
+ ; max_tours : int
; fm_oponent : int
; cost_max : int
; frequencies : (int * float) list
}
-let roll_and_accumulate dices =
- Seq.repeat () |> Seq.take dices
- |> Seq.fold_left (fun res _ -> res + (1 + Random.int 3)) 0
-
-let delta_carac level thresold =
- Seq.repeat () |> Seq.take 10000
- |> Seq.fold_left
- (fun acc _ ->
- if roll_and_accumulate thresold > roll_and_accumulate level then acc
- else acc + 1)
- 0
-
let get_chance : env -> int -> float =
fun env delta ->
match List.assoc_opt delta env.frequencies with
- | None -> 1.0
+ | None -> 1.
| Some v -> v
(** Build a list with the differents percentages to hit *)
let buil_freq_table from thresold =
- let () = Random.self_init () in
- List.init 6 (fun i ->
- (from - thresold + i, float (delta_carac (from + i) thresold) /. 10000.))
+ List.init 10 (fun i ->
+ (from + i, Roll.compare (from + i) thresold |> Q.to_float))
-let eval : build -> env -> float * float =
+let eval : build -> env -> float * int =
fun { a; m; rm; pm; fm } env ->
- let cout_tour = (Carac.value a * env.cout_sort) - Carac.value rm in
- let nb_tour =
- if cout_tour > 0 then
- float (Carac.value pm) /. float cout_tour |> Float.min env.max_tours
- else env.max_tours
+ let mp_available = Carac.value pm + ((env.max_tours - 1) * Carac.value rm) in
+
+ (* How many attacks can be done using this cost ? (rounded down) *)
+ let nb_attacks =
+ min (env.max_tours * Carac.value a) (mp_available / env.cout_sort)
in
let degats =
- float (Carac.value a * (env.degat_sort + Carac.value m - 5))
- *. get_chance env (Carac.value fm - env.fm_oponent)
+ float (nb_attacks * (env.degat_sort + Carac.value m - 5))
+ *. get_chance env (Carac.value fm)
in
- (degats, nb_tour)
+ (degats, nb_attacks)
let repr_degats : env -> Format.formatter -> build -> unit =
fun env out build ->
- let delta = get_chance env (Carac.value build.fm - env.fm_oponent) in
+ let delta = get_chance env (Carac.value build.fm) in
Format.fprintf out "%d A × (%d du sorts + %d M - %d M) × %.2f %%"
(Carac.value build.a) env.degat_sort (Carac.value build.m) 5 (delta *. 100.);
let sum = env.degat_sort + Carac.value build.m - 5 in
@@ -71,7 +58,7 @@ let cost : build -> int =
let repr : env -> Format.formatter -> build -> unit =
fun env formatter build ->
- let degats, nb_tour = eval build env in
+ let degats, nb_attacks = eval build env in
Format.fprintf formatter
{|Caractéristiques retenues :
@@ -84,18 +71,17 @@ let repr : env -> Format.formatter -> build -> unit =
Carac.repr build.a Carac.repr build.m Carac.repr build.fm Carac.repr
build.rm Carac.repr build.pm;
Format.fprintf formatter
- "@[Le magicien fera %.2f degats par tour pour un total de %d sur %.2f \
- tours@;\
+ "@[Le magicien fera %.2f degats par attaque pour un total de %.2f (via %d \
+ attaques)@;\
(@[<v 2>%a@])@;"
- degats
- (int_of_float (nb_tour *. degats))
- nb_tour (repr_degats env) build;
+ (degats /. float_of_int nb_attacks)
+ degats nb_attacks (repr_degats env) build;
Format.fprintf formatter "Le cout de ce build est de %d@]@." (cost build)
let score : env -> build -> float =
fun env build ->
let d, v = eval build env in
- d *. v
+ d
(* Upgrade each caracteristic and keep only the values in range *)
let upgrade : env -> build -> build list =
@@ -125,9 +111,7 @@ let rec traverse env (last_cost, last_score) = function
upgrade env hd
|> List.filter (fun build ->
List.for_all
- (fun element ->
- cost build > cost element
- || score env build > score env element)
+ (fun element -> score env build > score env element)
tl)
in