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22 changed files with 175 additions and 163 deletions

94
Cargo.lock generated
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@ -499,24 +499,6 @@ dependencies = [
"static_assertions",
]
[[package]]
name = "bot"
version = "0.1.0"
dependencies = [
"board-game",
"burn",
"burn-rl",
"confy",
"env_logger 0.10.2",
"internal-iterator",
"log",
"pretty_assertions",
"rand 0.9.2",
"serde",
"serde_json",
"store",
]
[[package]]
name = "bstr"
version = "1.12.1"
@ -1240,22 +1222,6 @@ dependencies = [
"libloading",
]
[[package]]
name = "client_cli"
version = "0.1.0"
dependencies = [
"anyhow",
"bincode 1.3.3",
"bot",
"env_logger 0.11.8",
"itertools 0.13.0",
"log",
"pico-args",
"pretty_assertions",
"renet",
"store",
]
[[package]]
name = "cmake"
version = "0.1.57"
@ -5851,19 +5817,6 @@ version = "1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a2eb9349b6444b326872e140eb1cf5e7c522154d69e7a0ffb0fb81c06b37543f"
[[package]]
name = "store"
version = "0.1.0"
dependencies = [
"base64 0.21.7",
"log",
"merge",
"pyo3",
"rand 0.8.5",
"serde",
"transpose",
]
[[package]]
name = "strength_reduce"
version = "0.2.4"
@ -6626,6 +6579,53 @@ dependencies = [
"strength_reduce",
]
[[package]]
name = "trictrac-bot"
version = "0.1.0"
dependencies = [
"board-game",
"burn",
"burn-rl",
"confy",
"env_logger 0.10.2",
"internal-iterator",
"log",
"pretty_assertions",
"rand 0.9.2",
"serde",
"serde_json",
"trictrac-store",
]
[[package]]
name = "trictrac-client_cli"
version = "0.1.0"
dependencies = [
"anyhow",
"bincode 1.3.3",
"env_logger 0.11.8",
"itertools 0.13.0",
"log",
"pico-args",
"pretty_assertions",
"renet",
"trictrac-bot",
"trictrac-store",
]
[[package]]
name = "trictrac-store"
version = "0.1.0"
dependencies = [
"base64 0.21.7",
"log",
"merge",
"pyo3",
"rand 0.9.2",
"serde",
"transpose",
]
[[package]]
name = "try-lock"
version = "0.2.5"

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@ -1,5 +1,5 @@
[package]
name = "bot"
name = "trictrac-bot"
version = "0.1.0"
edition = "2021"
@ -13,7 +13,7 @@ path = "src/burnrl/main.rs"
pretty_assertions = "1.4.0"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
store = { path = "../store" }
trictrac-store = { path = "../store" }
rand = "0.9"
env_logger = "0.10"
burn = { version = "0.20", features = ["ndarray", "autodiff"] }

View file

@ -1,4 +1,5 @@
import store
import trictrac_store
game = store.TricTrac()
print(game.get_state_dict())
game = trictrac_store.TricTrac()
print(game.current_player_idx())
print(game.get_legal_actions(game.current_player_idx()))

View file

@ -1,10 +1,10 @@
use std::io::Write;
use crate::training_common;
use burn::{prelude::Backend, tensor::Tensor};
use burn_rl::base::{Action, Environment, Snapshot, State};
use rand::{rng, Rng};
use store::{GameEvent, GameState, PlayerId, PointsRules, Stage, TurnStage};
use trictrac_store::training_common;
use trictrac_store::{GameEvent, GameState, PlayerId, PointsRules, Stage, TurnStage};
const ERROR_REWARD: f32 = -1.0012121;
const REWARD_VALID_MOVE: f32 = 1.0012121;
@ -292,7 +292,7 @@ impl TrictracEnvironment {
let dice_values = (rng.random_range(1..=6), rng.random_range(1..=6));
let dice_event = GameEvent::RollResult {
player_id: self.active_player_id,
dice: store::Dice {
dice: trictrac_store::Dice {
values: dice_values,
},
};
@ -340,7 +340,7 @@ impl TrictracEnvironment {
// Exécuter l'action selon le turn_stage
let mut calculate_points = false;
let opponent_color = store::Color::Black;
let opponent_color = trictrac_store::Color::Black;
let event = match self.game.turn_stage {
TurnStage::RollDice => GameEvent::Roll {
player_id: self.opponent_id,
@ -351,7 +351,7 @@ impl TrictracEnvironment {
calculate_points = true;
GameEvent::RollResult {
player_id: self.opponent_id,
dice: store::Dice {
dice: trictrac_store::Dice {
values: dice_values,
},
}
@ -371,7 +371,7 @@ impl TrictracEnvironment {
}
}
TurnStage::MarkAdvPoints => {
let opponent_color = store::Color::Black;
let opponent_color = trictrac_store::Color::Black;
let dice_roll_count = self
.game
.players

View file

@ -1,8 +1,8 @@
use crate::training_common;
use burn::{prelude::Backend, tensor::Tensor};
use burn_rl::base::{Action, Environment, Snapshot, State};
use rand::{rng, Rng};
use store::{GameEvent, GameState, PlayerId, PointsRules, Stage, TurnStage};
use trictrac_store::training_common;
use trictrac_store::{GameEvent, GameState, PlayerId, PointsRules, Stage, TurnStage};
const ERROR_REWARD: f32 = -1.0012121;
const REWARD_RATIO: f32 = 0.1;
@ -262,7 +262,7 @@ impl TrictracEnvironment {
let dice_values = (rng.random_range(1..=6), rng.random_range(1..=6));
let dice_event = GameEvent::RollResult {
player_id: self.active_player_id,
dice: store::Dice {
dice: trictrac_store::Dice {
values: dice_values,
},
};
@ -310,7 +310,7 @@ impl TrictracEnvironment {
// Exécuter l'action selon le turn_stage
let mut calculate_points = false;
let opponent_color = store::Color::Black;
let opponent_color = trictrac_store::Color::Black;
let event = match self.game.turn_stage {
TurnStage::RollDice => GameEvent::Roll {
player_id: self.opponent_id,
@ -321,7 +321,7 @@ impl TrictracEnvironment {
calculate_points = true;
GameEvent::RollResult {
player_id: self.opponent_id,
dice: store::Dice {
dice: trictrac_store::Dice {
values: dice_values,
},
}

View file

@ -1,7 +1,7 @@
use bot::burnrl::algos::{dqn, dqn_valid, ppo, ppo_valid, sac, sac_valid};
use bot::burnrl::environment::TrictracEnvironment;
use bot::burnrl::environment_valid::TrictracEnvironment as TrictracEnvironmentValid;
use bot::burnrl::utils::{demo_model, Config};
use trictrac_bot::burnrl::algos::{dqn, dqn_valid, ppo, ppo_valid, sac, sac_valid};
use trictrac_bot::burnrl::environment::TrictracEnvironment;
use trictrac_bot::burnrl::environment_valid::TrictracEnvironment as TrictracEnvironmentValid;
use trictrac_bot::burnrl::utils::{demo_model, Config};
use burn::backend::{Autodiff, NdArray};
use burn_rl::base::ElemType;
use std::env;

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@ -1,15 +1,16 @@
pub mod burnrl;
pub mod strategy;
pub mod training_common;
pub mod trictrac_board;
use log::debug;
use store::{CheckerMove, Color, GameEvent, GameState, PlayerId, PointsRules, Stage, TurnStage};
pub use strategy::default::DefaultStrategy;
pub use strategy::dqnburn::DqnBurnStrategy;
pub use strategy::erroneous_moves::ErroneousStrategy;
pub use strategy::random::RandomStrategy;
pub use strategy::stable_baselines3::StableBaselines3Strategy;
use trictrac_store::{
CheckerMove, Color, GameEvent, GameState, PlayerId, PointsRules, Stage, TurnStage,
};
pub trait BotStrategy: std::fmt::Debug {
fn get_game(&self) -> &GameState;
@ -144,7 +145,7 @@ impl Bot {
#[cfg(test)]
mod tests {
use super::*;
use store::{Dice, Stage};
use trictrac_store::{Dice, Stage};
#[test]
fn test_new() {

View file

@ -1,5 +1,5 @@
use crate::{BotStrategy, CheckerMove, Color, GameState, PlayerId};
use store::MoveRules;
use trictrac_store::MoveRules;
#[derive(Debug)]
pub struct DefaultStrategy {

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@ -4,11 +4,13 @@ use burn_rl::base::{ElemType, Model, State};
use crate::{BotStrategy, CheckerMove, Color, GameState, PlayerId};
use log::info;
use store::MoveRules;
use trictrac_store::MoveRules;
use crate::burnrl::algos::dqn;
use crate::burnrl::environment;
use crate::training_common::{get_valid_action_indices, sample_valid_action, TrictracAction};
use trictrac_store::training_common::{
get_valid_action_indices, sample_valid_action, TrictracAction,
};
type DqnBurnNetwork = dqn::Net<NdArray<ElemType>>;
@ -152,7 +154,7 @@ impl BotStrategy for DqnBurnStrategy {
to1 = if fto1 < 0 { 0 } else { fto1 as usize };
}
let checker_move1 = store::CheckerMove::new(from1, to1).unwrap_or_default();
let checker_move1 = trictrac_store::CheckerMove::new(from1, to1).unwrap_or_default();
let mut tmp_board = self.game.board.clone();
let move_res = tmp_board.move_checker(&self.color, checker_move1);

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@ -1,6 +1,6 @@
use crate::{BotStrategy, CheckerMove, Color, GameState, PlayerId};
use rand::{prelude::IndexedRandom, rng};
use store::MoveRules;
use trictrac_store::MoveRules;
#[derive(Debug)]
pub struct RandomStrategy {

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@ -5,7 +5,7 @@ use std::io::Read;
use std::io::Write;
use std::path::Path;
use std::process::Command;
use store::MoveRules;
use trictrac_store::MoveRules;
#[derive(Debug)]
pub struct StableBaselines3Strategy {
@ -79,12 +79,12 @@ impl StableBaselines3Strategy {
// Convertir l'étape du tour en entier
let turn_stage = match self.game.turn_stage {
store::TurnStage::RollDice => 0,
store::TurnStage::RollWaiting => 1,
store::TurnStage::MarkPoints => 2,
store::TurnStage::HoldOrGoChoice => 3,
store::TurnStage::Move => 4,
store::TurnStage::MarkAdvPoints => 5,
trictrac_store::TurnStage::RollDice => 0,
trictrac_store::TurnStage::RollWaiting => 1,
trictrac_store::TurnStage::MarkPoints => 2,
trictrac_store::TurnStage::HoldOrGoChoice => 3,
trictrac_store::TurnStage::Move => 4,
trictrac_store::TurnStage::MarkAdvPoints => 5,
};
// Récupérer les points et trous des joueurs

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@ -1,5 +1,4 @@
// https://docs.rs/board-game/ implementation
use crate::training_common::{get_valid_actions, TrictracAction};
use board_game::board::{
Board as BoardGameBoard, BoardDone, BoardMoves, Outcome, PlayError, Player as BoardGamePlayer,
};
@ -8,7 +7,8 @@ use internal_iterator::InternalIterator;
use std::fmt;
use std::hash::Hash;
use std::ops::ControlFlow;
use store::Color;
use trictrac_store::training_common::{get_valid_actions, TrictracAction};
use trictrac_store::Color;
#[derive(Clone, Debug, Eq, PartialEq, Hash)]
pub struct TrictracBoard(crate::GameState);

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@ -1,5 +1,5 @@
[package]
name = "client_cli"
name = "trictrac-client_cli"
version = "0.1.0"
edition = "2021"
@ -11,8 +11,8 @@ bincode = "1.3.3"
pico-args = "0.5.0"
pretty_assertions = "1.4.0"
renet = "0.0.13"
store = { path = "../store" }
bot = { path = "../bot" }
trictrac-store = { path = "../store" }
trictrac-bot = { path = "../bot" }
itertools = "0.13.0"
env_logger = "0.11.6"
log = "0.4.20"

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@ -1,11 +1,11 @@
use bot::{
use trictrac_bot::{
BotStrategy, DefaultStrategy, DqnBurnStrategy, ErroneousStrategy, RandomStrategy,
StableBaselines3Strategy,
};
use itertools::Itertools;
use crate::game_runner::GameRunner;
use store::{CheckerMove, GameEvent, GameState, Stage, TurnStage};
use trictrac_store::{CheckerMove, GameEvent, GameState, Stage, TurnStage};
#[derive(Debug, Default)]
pub struct AppArgs {

View file

@ -1,6 +1,6 @@
use bot::{Bot, BotStrategy};
use trictrac_bot::{Bot, BotStrategy};
use log::{debug, error};
use store::{CheckerMove, DiceRoller, GameEvent, GameState, PlayerId, TurnStage};
use trictrac_store::{CheckerMove, DiceRoller, GameEvent, GameState, PlayerId, TurnStage};
// Application Game
#[derive(Debug, Default)]
@ -117,8 +117,8 @@ impl GameRunner {
}
if let Some(winner) = self.state.determine_winner() {
next_event = Some(store::GameEvent::EndGame {
reason: store::EndGameReason::PlayerWon { winner },
next_event = Some(trictrac_store::GameEvent::EndGame {
reason: trictrac_store::EndGameReason::PlayerWon { winner },
});
}

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@ -16,8 +16,8 @@ Pour vérifier l'accès à la lib : lancer le shell interactif `python`
```python
Python 3.13.11 (main, Dec 5 2025, 16:06:33) [GCC 15.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import store
>>> game = store.TricTrac()
>>> import trictrac_store
>>> game = trictrac_store.TricTrac()
>>> game.get_active_player_id()
1
```

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@ -1,12 +1,12 @@
[package]
name = "store"
name = "trictrac-store"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[lib]
name = "store"
name = "trictrac_store"
# "cdylib" is necessary to produce a shared library for Python to import from.
# Only "rlib" is needed for other Rust crates to use this library
crate-type = ["cdylib", "rlib"]
@ -18,6 +18,6 @@ log = "0.4.20"
merge = "0.1.0"
# generate python lib (with maturin) to be used in AI training
pyo3 = { version = "0.23", features = ["extension-module", "abi3-py38"] }
rand = "0.8.5"
rand = "0.9"
serde = { version = "1.0", features = ["derive"] }
transpose = "0.2.2"

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@ -6,4 +6,3 @@ build-backend = "maturin"
# "extension-module" tells pyo3 we want to build an extension module (skips linking against libpython.so)
features = ["pyo3/extension-module"]
# python-source = "python"
# module-name = "trictrac.game"

View file

@ -1,4 +1,4 @@
use rand::distributions::{Distribution, Uniform};
use rand::distr::{Distribution, Uniform};
use rand::{rngs::StdRng, SeedableRng};
use serde::{Deserialize, Serialize};
@ -17,7 +17,7 @@ impl DiceRoller {
pub fn new(opt_seed: Option<u64>) -> Self {
Self {
rng: match opt_seed {
None => StdRng::from_rng(rand::thread_rng()).unwrap(),
None => StdRng::from_rng(&mut rand::rng()),
Some(seed) => SeedableRng::seed_from_u64(seed),
},
}
@ -26,7 +26,7 @@ impl DiceRoller {
/// Roll the dices which generates two random numbers between 1 and 6, replicating a perfect
/// dice. We use the operating system's random number generator.
pub fn roll(&mut self) -> Dice {
let between = Uniform::new_inclusive(1, 6);
let between = Uniform::new_inclusive(1, 6).expect("1 > 6 !?");
let v = (between.sample(&mut self.rng), between.sample(&mut self.rng));

View file

@ -17,5 +17,7 @@ pub use board::CheckerMove;
mod dice;
pub use dice::{Dice, DiceRoller};
pub mod training_common;
// python interface "trictrac_engine" (for AI training..)
mod pyengine;

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@ -8,6 +8,7 @@ use crate::game::{GameEvent, GameState, Stage, TurnStage};
use crate::game_rules_moves::MoveRules;
use crate::game_rules_points::PointsRules;
use crate::player::{Color, PlayerId};
use crate::training_common::{get_valid_action_indices, TrictracAction};
#[pyclass]
struct TricTrac {
@ -36,34 +37,31 @@ impl TricTrac {
}
}
/// Obtenir l'état du jeu sous forme de dictionnaire
fn get_state_dict<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyDict>> {
let dict = PyDict::new(py);
dict.set_item("stage", format!("{:?}", self.game_state.stage))?;
dict.set_item("turn_stage", format!("{:?}", self.game_state.turn_stage))?;
dict.set_item("active_player_id", self.game_state.active_player_id)?;
fn needs_roll(&self) -> bool {
self.game_state.turn_stage == TurnStage::RollWaiting
}
// Board
let board_list = self.game_state.board.to_vec(); // returns Vec<i8>
dict.set_item("board", board_list)?;
fn is_game_ended(&self) -> bool {
self.game_state.stage == Stage::Ended
}
// Dice
dict.set_item("dice", (self.game_state.dice.values.0, self.game_state.dice.values.1))?;
// 0 or 1
fn current_player_idx(&self) -> u64 {
self.game_state.active_player_id - 1
}
// Players
let players_dict = PyDict::new(py);
for (id, player) in &self.game_state.players {
let p_dict = PyDict::new(py);
p_dict.set_item("color", format!("{:?}", player.color))?;
p_dict.set_item("holes", player.holes)?;
p_dict.set_item("points", player.points)?;
p_dict.set_item("can_bredouille", player.can_bredouille)?;
p_dict.set_item("dice_roll_count", player.dice_roll_count)?;
players_dict.set_item(id, p_dict)?;
fn get_legal_actions(&self, player_id: u64) -> Vec<usize> {
if player_id == self.current_player_idx() {
get_valid_action_indices(&self.game_state)
} else {
vec![]
}
dict.set_item("players", players_dict)?;
}
Ok(dict)
fn action_to_string(&self, player_idx: u64, action_idx: usize) -> String {
TrictracAction::from_action_index(action_idx)
.map(|a| a.to_string())
.unwrap_or("unknown action".into())
}
/// Lance les dés ou utilise la séquence prédéfinie
@ -71,20 +69,23 @@ impl TricTrac {
let player_id = self.game_state.active_player_id;
if self.game_state.turn_stage != TurnStage::RollDice {
return Err(pyo3::exceptions::PyRuntimeError::new_err("Not in RollDice stage"));
return Err(pyo3::exceptions::PyRuntimeError::new_err(
"Not in RollDice stage",
));
}
self.game_state.consume(&GameEvent::Roll { player_id });
let dice = if self.current_dice_index < self.dice_roll_sequence.len() {
let vals = self.dice_roll_sequence[self.current_dice_index];
self.current_dice_index += 1;
Dice { values: vals }
let vals = self.dice_roll_sequence[self.current_dice_index];
self.current_dice_index += 1;
Dice { values: vals }
} else {
DiceRoller::default().roll()
DiceRoller::default().roll()
};
self.game_state.consume(&GameEvent::RollResult { player_id, dice });
self.game_state
.consume(&GameEvent::RollResult { player_id, dice });
Ok(dice.values)
}
@ -93,16 +94,22 @@ impl TricTrac {
fn apply_move(&mut self, from1: usize, to1: usize, from2: usize, to2: usize) -> PyResult<()> {
let player_id = self.game_state.active_player_id;
let m1 = CheckerMove::new(from1, to1).map_err(|e| pyo3::exceptions::PyValueError::new_err(e.to_string()))?;
let m2 = CheckerMove::new(from2, to2).map_err(|e| pyo3::exceptions::PyValueError::new_err(e.to_string()))?;
let m1 = CheckerMove::new(from1, to1)
.map_err(|e| pyo3::exceptions::PyValueError::new_err(e.to_string()))?;
let m2 = CheckerMove::new(from2, to2)
.map_err(|e| pyo3::exceptions::PyValueError::new_err(e.to_string()))?;
let moves = (m1, m2);
if !self.game_state.validate(&GameEvent::Move { player_id, moves }) {
return Err(pyo3::exceptions::PyValueError::new_err("Invalid move"));
if !self
.game_state
.validate(&GameEvent::Move { player_id, moves })
{
return Err(pyo3::exceptions::PyValueError::new_err("Invalid move"));
}
self.game_state.consume(&GameEvent::Move { player_id, moves });
self.game_state
.consume(&GameEvent::Move { player_id, moves });
Ok(())
}
@ -223,7 +230,7 @@ impl TricTrac {
/// the `lib.name` setting in the `Cargo.toml`, else Python will not be able to
/// import the module.
#[pymodule]
fn store(m: &Bound<'_, PyModule>) -> PyResult<()> {
fn trictrac_store(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<TricTrac>()?;
Ok(())

View file

@ -3,8 +3,8 @@
use std::cmp::{max, min};
use std::fmt::{Debug, Display, Formatter};
use crate::{CheckerMove, GameEvent, GameState};
use serde::{Deserialize, Serialize};
use store::{CheckerMove, GameEvent, GameState};
// 1 (Roll) + 1 (Go) + 512 (mouvements possibles)
// avec 512 = 2 (choix du dé) * 16 * 16 (choix de la dame 0-15 pour chaque from)
@ -94,13 +94,13 @@ impl TrictracAction {
(state.dice.values.1, state.dice.values.0)
};
let color = &store::Color::White;
let color = &crate::Color::White;
let from1 = state
.board
.get_checker_field(color, *checker1 as u8)
.unwrap_or(0);
let mut to1 = from1 + dice1 as usize;
let checker_move1 = store::CheckerMove::new(from1, to1).unwrap_or_default();
let checker_move1 = CheckerMove::new(from1, to1).unwrap_or_default();
let mut tmp_board = state.board.clone();
let move_result = tmp_board.move_checker(color, checker_move1);
@ -120,8 +120,8 @@ impl TrictracAction {
to2 -= 1;
}
let checker_move1 = store::CheckerMove::new(from1, to1).unwrap_or_default();
let checker_move2 = store::CheckerMove::new(from2, to2).unwrap_or_default();
let checker_move1 = CheckerMove::new(from1, to1).unwrap_or_default();
let checker_move2 = CheckerMove::new(from2, to2).unwrap_or_default();
Some(GameEvent::Move {
player_id: state.active_player_id,
@ -179,8 +179,8 @@ impl TrictracAction {
// from2,
// } => {
// // Effectuer un mouvement
// let checker_move1 = store::CheckerMove::new(move1.0, move1.1).unwrap_or_default();
// let checker_move2 = store::CheckerMove::new(move2.0, move2.1).unwrap_or_default();
// let checker_move1 = CheckerMove::new(move1.0, move1.1).unwrap_or_default();
// let checker_move2 = CheckerMove::new(move2.0, move2.1).unwrap_or_default();
//
// Some(GameEvent::Move {
// player_id: self.agent_player_id,
@ -192,8 +192,8 @@ impl TrictracAction {
}
/// Obtient les actions valides pour l'état de jeu actuel
pub fn get_valid_actions(game_state: &crate::GameState) -> Vec<TrictracAction> {
use store::TurnStage;
pub fn get_valid_actions(game_state: &GameState) -> Vec<TrictracAction> {
use crate::TurnStage;
let mut valid_actions = Vec::new();
@ -216,11 +216,11 @@ pub fn get_valid_actions(game_state: &crate::GameState) -> Vec<TrictracAction> {
valid_actions.push(TrictracAction::Go);
// Ajoute aussi les mouvements possibles
let rules = store::MoveRules::new(&color, &game_state.board, game_state.dice);
let rules = crate::MoveRules::new(&color, &game_state.board, game_state.dice);
let possible_moves = rules.get_possible_moves_sequences(true, vec![]);
// Modififier checker_moves_to_trictrac_action si on doit gérer Black
assert_eq!(color, store::Color::White);
assert_eq!(color, crate::Color::White);
for (move1, move2) in possible_moves {
valid_actions.push(checker_moves_to_trictrac_action(
&move1, &move2, &color, game_state,
@ -228,7 +228,7 @@ pub fn get_valid_actions(game_state: &crate::GameState) -> Vec<TrictracAction> {
}
}
TurnStage::Move => {
let rules = store::MoveRules::new(&color, &game_state.board, game_state.dice);
let rules = crate::MoveRules::new(&color, &game_state.board, game_state.dice);
let mut possible_moves = rules.get_possible_moves_sequences(true, vec![]);
if possible_moves.is_empty() {
// Empty move
@ -236,7 +236,7 @@ pub fn get_valid_actions(game_state: &crate::GameState) -> Vec<TrictracAction> {
}
// Modififier checker_moves_to_trictrac_action si on doit gérer Black
assert_eq!(color, store::Color::White);
assert_eq!(color, crate::Color::White);
for (move1, move2) in possible_moves {
valid_actions.push(checker_moves_to_trictrac_action(
&move1, &move2, &color, game_state,
@ -256,8 +256,8 @@ pub fn get_valid_actions(game_state: &crate::GameState) -> Vec<TrictracAction> {
fn checker_moves_to_trictrac_action(
move1: &CheckerMove,
move2: &CheckerMove,
color: &store::Color,
state: &crate::GameState,
color: &crate::Color,
state: &GameState,
) -> TrictracAction {
let to1 = move1.get_to();
let to2 = move2.get_to();
@ -315,7 +315,7 @@ fn checker_moves_to_trictrac_action(
}
/// Retourne les indices des actions valides
pub fn get_valid_action_indices(game_state: &crate::GameState) -> Vec<usize> {
pub fn get_valid_action_indices(game_state: &GameState) -> Vec<usize> {
get_valid_actions(game_state)
.into_iter()
.map(|action| action.to_action_index())
@ -323,7 +323,7 @@ pub fn get_valid_action_indices(game_state: &crate::GameState) -> Vec<usize> {
}
/// Sélectionne une action valide aléatoire
pub fn sample_valid_action(game_state: &crate::GameState) -> Option<TrictracAction> {
pub fn sample_valid_action(game_state: &GameState) -> Option<TrictracAction> {
use rand::{prelude::IndexedRandom, rng};
let valid_actions = get_valid_actions(game_state);