improve to 24.78 (for 5 players)
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README.md
19
README.md
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@ -1,12 +1,21 @@
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# Simulations of Hanabi strategies
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Hanabi is an interesting cooperative game, with
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[simple rules](https://boardgamegeek.com/article/10670613#10670613).
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Hanabi is a cooperative card game of incomplete information.
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Despite relatively [simple rules](https://boardgamegeek.com/article/10670613#10670613),
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the space of Hanabi strategies is quite interesting.
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I plan on reimplementing strategies with ideas from [this paper](https://d0474d97-a-62cb3a1a-s-sites.googlegroups.com/site/rmgpgrwc/research-papers/Hanabi_final.pdf).
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This repository provides a framework for implementing Hanabi strategies.
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It also explores some implementations, based on ideas from
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[this paper](https://d0474d97-a-62cb3a1a-s-sites.googlegroups.com/site/rmgpgrwc/research-papers/Hanabi_final.pdf).
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In particular, it contains a variant of their "information strategy", with some improvements.
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This strategy achieves the best results I am aware of (see below), for n > 3.
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Please contact me if:
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- You know of other interesting/good strategy ideas!
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- Have questions about the framework
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Some similar projects I am aware of:
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- https://github.com/rjtobin/HanSim (written for the paper mentioned above)
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- https://github.com/Quuxplusone/Hanabi
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@ -39,8 +48,10 @@ For example,
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## Results (sparsely updated)
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Currently, on seeds 0-9999, we have:
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(info strategy is only ran on 1000 seeds)
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| 2p | 3p | 4p | 5p |
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----------|---------|---------|---------|---------|
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cheating | 24.8600 | 24.9781 | 24.9715 | 24.9583 |
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info | 14.676 | 22.19 | 24.516 | 24.68 |
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@ -60,6 +60,9 @@ pub trait CardInfo {
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}
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total_score / total_weight
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}
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fn average_value(&self) -> f32 {
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self.weighted_score(&|card| card.value as f32 )
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}
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fn probability_of_predicate(&self, predicate: &Fn(&Card) -> bool) -> f32 {
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let f = |card: &Card| {
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if predicate(card) { 1.0 } else { 0.0 }
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@ -181,7 +181,7 @@ pub fn simulate<T: ?Sized>(
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}
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let percentage = (n_trials - non_perfect_seeds.len() as u32) as f32 / n_trials as f32;
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info!("Percentage perfect: {:?}%", percentage);
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info!("Percentage perfect: {:?}%", percentage * 100.0);
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let average = histogram.average();
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info!("Average score: {:?}", average);
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average
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@ -216,27 +216,20 @@ impl PlayerStrategy for CheatingPlayerStrategy {
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// Play the best discardable card, according to the ordering induced by comparing
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// (is in another hand, is dispensable, value)
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// The higher, the better to discard
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let mut discard_card = None;
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let mut index = 0;
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let mut compval = (false, false, 0);
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for card in my_cards {
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for (i, card) in my_cards.iter().enumerate() {
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let my_compval = (
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view.can_see(card),
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view.board.is_dispensable(card),
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card.value,
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);
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if my_compval > compval {
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discard_card = Some(card);
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index = i;
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compval = my_compval;
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}
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}
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if let Some(card) = discard_card {
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let index = my_cards.iter().position(|iter_card| {
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card == iter_card
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}).unwrap();
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TurnChoice::Discard(index)
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} else {
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panic!("This shouldn't happen! No discardable card");
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}
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}
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fn update(&mut self, _: &Turn, _: &BorrowedGameView) {
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}
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@ -1,4 +1,5 @@
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use std::collections::{HashMap, HashSet};
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use std::cmp::Ordering;
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use simulator::*;
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use game::*;
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@ -18,9 +19,6 @@ use game::*;
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//
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// for 4 players, can give 6 distinct hints
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// TODO: currently, you need to be very careful due to
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// answers changing from the old view to the new view
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#[derive(Debug,Clone)]
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struct ModulusInformation {
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modulus: u32,
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@ -220,9 +218,6 @@ impl InformationStrategyConfig {
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}
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impl GameStrategyConfig for InformationStrategyConfig {
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fn initialize(&self, opts: &GameOptions) -> Box<GameStrategy> {
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if opts.num_players < 4 {
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panic!("Information strategy doesn't work with less than 4 players");
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}
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Box::new(InformationStrategy::new())
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}
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}
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@ -278,22 +273,45 @@ impl InformationPlayerStrategy {
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*info_remaining <= 1
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}
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for (i, card_table) in hand_info.iter().enumerate() {
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let mut augmented_hand_info = hand_info.iter().enumerate().map(|(i, card_table)| {
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let p = view.get_board().probability_is_playable(card_table);
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(p, card_table, i)
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}).collect::<Vec<_>>();
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// sort by probability of play, then by index
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augmented_hand_info.sort_by(|&(p1, card_table1, i1), &(p2, card_table2, i2)| {
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let result = p1.partial_cmp(&p2);
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if result == None || result == Some(Ordering::Equal) {
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i1.cmp(&i2)
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} else {
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result.unwrap()
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}
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});
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// let known_playable = augmented_hand_info[0].0 == 1.0;
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// // if there is a card that is definitely playable, don't ask about playability
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// if !known_playable {
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for &(p, card_table, i) in &augmented_hand_info {
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if (p != 0.0) && (p != 1.0) {
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if add_question(&mut questions, &mut info_remaining, IsPlayable {index: i}) {
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return questions;
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}
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}
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}
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for (i, card_table) in hand_info.iter().enumerate() {
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if !card_table.is_determined() {
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// }
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for &(p, card_table, i) in &augmented_hand_info {
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if card_table.is_determined() {
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continue;
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}
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if view.get_board().probability_is_dead(card_table) == 1.0 {
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continue;
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}
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let question = CardPossibilityPartition::new(i, info_remaining, card_table, view);
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if add_question(&mut questions, &mut info_remaining, question) {
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return questions;
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}
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}
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}
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return questions
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}
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@ -684,7 +702,7 @@ impl PlayerStrategy for InformationPlayerStrategy {
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// hinting is better than discarding dead cards
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// (probably because it stalls the deck-drawing).
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if view.board.hints_remaining > 1 {
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if view.board.hints_remaining > 0 {
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if self.someone_else_can_play(view) {
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return self.get_hint(view);
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}
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return TurnChoice::Discard(i);
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}
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// // All cards are plausibly useful.
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// // Play the best discardable card, according to the ordering induced by comparing
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// // (is in another hand, is dispensable, value)
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// // The higher, the better to discard
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// let mut discard_card = None;
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// let mut compval = (false, false, 0);
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// for card in my_cards {
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// let my_compval = (
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// view.can_see(card),
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// view.board.is_dispensable(card),
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// card.value,
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// );
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// if my_compval > compval {
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// discard_card = Some(card);
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// compval = my_compval;
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// }
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// }
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// if let Some(card) = discard_card {
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// if view.board.hints_remaining > 0 {
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// if !view.can_see(card) {
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// return self.throwaway_hint(view);
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// }
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// }
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// Play the best discardable card
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let mut compval = 0.0;
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let mut index = 0;
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for (i, card_table) in private_info.iter().enumerate() {
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let probability_is_seen = card_table.probability_of_predicate(&|card| {
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view.can_see(card)
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});
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let my_compval =
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20.0 * probability_is_seen
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+ 10.0 * view.board.probability_is_dispensable(card_table)
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+ card_table.average_value();
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// let index = my_cards.iter().position(|iter_card| {
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// card == iter_card
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// }).unwrap();
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// TurnChoice::Discard(index)
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// } else {
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// panic!("This shouldn't happen! No discardable card");
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// }
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// }
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if view.board.hints_remaining > 0 {
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self.get_hint(view)
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} else {
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TurnChoice::Discard(0)
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if my_compval > compval {
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compval = my_compval;
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index = i;
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}
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}
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TurnChoice::Discard(index)
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}
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fn update(&mut self, turn: &Turn, view: &BorrowedGameView) {
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match turn.choice {
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