Implement solver #14

Merged
Quaternions merged 3 commits from win2 into master 2026-05-29 21:33:34 +00:00
4 changed files with 146 additions and 55 deletions
+130 -26
View File
@@ -6,11 +6,11 @@ struct ReadmeDoctests;
use core::ops::RangeBounds;
// TODO: pub struct ValidInstruction<I>(I);
pub trait Game {
type Score;
type Stats;
type Config;
type Instruction;
pub trait Game: Clone {
type Score: Clone + core::fmt::Debug;
type Stats: Clone + core::fmt::Debug;
type Config: Clone + core::fmt::Debug;
type Instruction: Clone + core::fmt::Debug;
fn score(&self, stats: &Self::Stats, config: &Self::Config) -> Self::Score;
fn possible_instructions(
&self,
@@ -312,6 +312,59 @@ impl<const CAP: usize> Pile<CAP, CAP> {
}
}
#[derive(Clone, Debug)]
pub enum SolveError {
MovesBudgetExceeded,
StatesBudgetExceeded,
}
impl std::fmt::Display for SolveError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{self:?}")
}
}
impl std::error::Error for SolveError {}
/// The solution tends to be very large with long chains of moves that go back to the same state.
/// It is recommended to call .clean_solution() if the solution is actually going to be shown to a user.
pub struct Solution<G: Game> {
solution: Vec<StateSnapshot<G>>,
}
impl<G: Game + Eq + core::hash::Hash> Solution<G> {
pub const fn raw_solution(&self) -> &[StateSnapshot<G>] {
self.solution.as_slice()
}
/// Repeatedly remove the largest range of moves that goes back into the same state.
/// This is a very expensive operation when the solution is very long!
pub fn clean_solution(self) -> Vec<StateSnapshot<G>> {
let mut history = self.solution;
// history includes cycles
let mut state_index: std::collections::HashMap<_, _> = history
.iter()
.enumerate()
.map(|(i, snapshot)| (snapshot.state().clone(), i))
.collect();
// find the longest range where the start and end are the same state
while let Some(longest_range) = history
.iter()
.enumerate()
.filter_map(|(index, snapshot)| {
let &last_index = state_index.get(snapshot.state())?;
let longness = last_index - index;
(longness != 0).then_some(index..last_index)
})
.max_by_key(|range| range.len())
{
history.drain(longest_range);
for (i, snapshot) in history.iter().enumerate() {
state_index.insert(snapshot.state().clone(), i);
}
}
history
}
}
#[derive(Clone, Debug)]
pub enum SessionInstruction<I> {
Undo,
@@ -338,12 +391,16 @@ impl<S> SessionStats<S> {
pub struct SessionConfig<C> {
pub inner: C,
pub undo_penalty: i32,
pub solve_moves_budget: u64,
pub solve_states_budget: u64,
}
impl<C> SessionConfig<C> {
fn new_default(inner: C) -> Self {
Self {
inner,
undo_penalty: -15,
solve_moves_budget: 100_000,
solve_states_budget: 100_000,
}
}
}
@@ -353,21 +410,33 @@ impl<C: Default> Default for SessionConfig<C> {
}
}
#[derive(Clone, Debug)]
pub struct Session<G: Game> {
stats: SessionStats<G::Stats>,
config: SessionConfig<G::Config>,
state: SessionState<G>,
}
#[derive(Clone, Eq, Hash, PartialEq)]
pub struct SessionState<G: Game> {
seed: G,
#[derive(Clone, Debug)]
pub struct StateSnapshot<G: Game> {
state: G,
history: Vec<G::Instruction>,
instruction: G::Instruction,
}
impl<G: Game> StateSnapshot<G> {
pub const fn state(&self) -> &G {
&self.state
}
pub const fn instruction(&self) -> &G::Instruction {
&self.instruction
}
}
#[derive(Clone, Debug)]
pub struct SessionState<G: Game> {
state: G,
history: Vec<StateSnapshot<G>>,
}
impl<G: Game + Clone> SessionState<G> {
fn new(state: G) -> Self {
Self {
seed: state.clone(),
state,
history: Vec::new(),
}
@@ -380,9 +449,9 @@ impl<G: Game> SessionState<G> {
}
impl<G: Game<Score = i32>> Session<G>
where
G: Clone + Eq + core::hash::Hash,
G::Stats: Clone + Default,
G::Instruction: Clone + Eq + core::hash::Hash,
G: Eq + core::hash::Hash,
G::Stats: Default,
G::Instruction: Eq + core::hash::Hash,
{
pub fn new(state: G, config: SessionConfig<G::Config>) -> Self {
Self {
@@ -406,7 +475,7 @@ where
pub const fn config(&self) -> &SessionConfig<G::Config> {
&self.config
}
pub fn history(&self) -> &[G::Instruction] {
pub fn history(&self) -> &[StateSnapshot<G>] {
&self.state.history
}
pub fn undo(&mut self) {
@@ -426,12 +495,50 @@ where
pub fn is_win(&self) -> bool {
self.state.is_win()
}
/// Attempt to produce a solution.
pub fn solve(&self) -> Result<Option<Solution<G>>, SolveError> {
let mut state_moves = std::collections::HashMap::new();
let mut state = self.clone();
let mut moves = 0;
while !state.is_win() {
moves += 1;
if self.config.solve_moves_budget < moves {
return Err(SolveError::MovesBudgetExceeded);
}
if self.config.solve_states_budget < state_moves.len() as u64 {
return Err(SolveError::StatesBudgetExceeded);
}
// Continue existing iterator if it exists
let it = state_moves
.entry(state.state().state().clone())
.or_insert_with(|| {
state
.state()
.state()
.possible_instructions(&self.config().inner)
});
// Run one possible move
if let Some(instruction) = it.next() {
state.process_instruction(instruction);
continue;
}
// No more moves. If we can't undo we're done
if state.history().is_empty() {
return Ok(None);
} else {
state.undo();
}
}
Ok(Some(Solution {
solution: state.state.history,
}))
}
}
impl<G: Game<Score = i32>> Game for SessionState<G>
where
G: Clone,
G::Stats: Default,
G::Instruction: Clone,
{
type Score = i32;
type Stats = SessionStats<G::Stats>;
@@ -464,19 +571,16 @@ where
) {
match instruction {
SessionInstruction::Undo => {
// replay the entire history of the game except one move
self.history.pop();
let mut inner_stats = G::Stats::default();
let mut state = self.seed.clone();
for instruction in &self.history {
state.process_instruction(&mut inner_stats, &config.inner, instruction.clone());
if let Some(snapshot) = self.history.pop() {
self.state = snapshot.state;
stats.increment_undos();
}
self.state = state;
stats.inner = inner_stats;
stats.increment_undos();
}
SessionInstruction::InnerInstruction(instruction) => {
self.history.push(instruction.clone());
self.history.push(StateSnapshot {
state: self.state.clone(),
instruction: instruction.clone(),
});
self.state
.process_instruction(&mut stats.inner, &config.inner, instruction);
}
+2 -2
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@@ -4,8 +4,8 @@ use klondike::{
KlondikePile, KlondikePileStack, SkipCards, Tableau, TableauStack,
};
// #[cfg(test)]
// mod test;
#[cfg(test)]
mod test;
use std::fmt::Display;
struct Displayed<T>(T);
+10 -27
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@@ -1,33 +1,16 @@
use klondike::Klondike;
use card_game::Session;
use klondike::Klondike;
#[test]
fn test_is_winnable() {
// is winnable
let is_winnable = Session::new_default(Klondike::with_seed(123)).is_winnable();
println!("is_winnable = {is_winnable:?}");
}
#[test]
fn test_klondike() {
// create game session
let game = Klondike::with_seed(123);
let mut session = Session::new_default(game);
// is winnable
let is_winnable = session.is_winnable();
println!("is_winnable = {is_winnable:?}");
// play game
while let Some(instruction) = session.possible_instructions().next() {
session.process_instruction(instruction);
let solution_result = Session::new_default(Klondike::with_seed(124)).solve();
if let Ok(Some(solution)) = solution_result {
let win_moves = solution.clean_solution();
// for (i, ins) in win_moves.into_iter().enumerate() {
// println!("{i} = {:?}", ins.instruction());
// }
println!("Game is winnable with {} moves", win_moves.len());
} else {
println!("Game is not winnable");
}
// did win
let is_win = session.is_win();
// print session history
for (i, instruction) in session.history().iter().enumerate() {
println!("move {i} = {instruction:?}");
}
println!("is_win = {is_win}");
}
+4
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@@ -601,6 +601,10 @@ impl Iterator for KlondikeIter {
instruction
}
}
#[test]
fn test_klondike_iter() {
assert_eq!(KlondikeIter::new().count(), 721);
}
#[derive(Clone, Debug, Eq, Hash, PartialEq)]
pub struct Klondike {