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@ -4,7 +4,6 @@ use std::collections::HashSet;
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use crate::solver::{Solver, Generator, SodokuComplexity};
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use crate::board::Board;
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use crate::utils::*;
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use std::borrow::Borrow;
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use std::rc::Rc;
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use std::hash::{Hash, Hasher};
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@ -42,14 +41,14 @@ struct SolverBoard {
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}
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enum SolverBoardItem {
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Prepare(Rc<SolverBoard>, Rc<HashSet<Action>>, Rc<Vec<Action>>, usize),
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Process(Rc<SolverBoard>, Rc<HashSet<Action>>, Action),
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Process(Rc<SolverBoard>, Action),
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Initial(SolverBoard),
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}
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struct SolverBoardIterator {
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cache: HashSet<[[u16; VALUES]; VALUES]>, // to avoid processing the same board twice
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stack: Vec<SolverBoardItem>,
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solve: bool,
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}
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impl PartialEq for SolverBoard {
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@ -70,24 +69,12 @@ impl HechtSolver {
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}
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pub fn test(&self, board: &Board) {
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let mut invalid_counter = 0;
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let mut unsolved_counter = 0;
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let mut solved_counter = 0;
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let count = 1024;
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let mut boards : HashSet<Board> = HashSet::with_capacity(count);
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let count = SolverBoardIterator::new(board)
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.inspect(|_| invalid_counter += 1)
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.filter(|x| x.valid)
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.inspect(|_| unsolved_counter += 1)
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.filter(|x| x.is_solved())
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.inspect(|_| solved_counter += 1)
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.filter_map(|x| x.to_board() )
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.take(1024)
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.for_each(|board| {boards.insert(board); });
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.inspect(|_| println!("Solved Board detected"))
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.count();
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println!("Count: {}", count);
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println!("I: {}, U: {}, S: {}, B: {}", invalid_counter, unsolved_counter, solved_counter, boards.len())
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}
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@ -298,24 +285,16 @@ impl SolverBoard {
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} )
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}
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fn get_all_actions(&self) -> Vec<Action> {
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if self.valid && !self.is_solved() {
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let mut vec = self.todos.iter()
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.map(|point| (point, self.get_value(point)))
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.collect::<Vec<_>>(); // collect into the vector so we can (optionally) apply sorting
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vec.sort_unstable_by_key(|action| action.1.count_ones());
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fn get_probe_actions(&self) -> Vec<Action> {
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let result = self.todos.iter()
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.min_by_key(|point| self.get_value(point).count_ones());
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// println!(" {} --> {:?} has only {} possibilities", self.todos.len(), vec[0].0, vec[0].1.count_ones());
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return vec.iter()
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.map(|action| SolverBoard::get_bitvalue_sequence().iter()
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.filter(|&value| (action.1 & value) != 0)
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.map(|&value| Action::Probe(action.0.clone(), value))
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.collect::<Vec<_>>()
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)
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.flatten()
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.collect::<Vec<_>>();
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if let Some(point) = result {
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let p_value = self.get_value(point);
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return SolverBoard::get_bitvalue_sequence().iter()
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.filter(|&value| (p_value & value ) != 0)
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.map(|&value| Action::Probe(point.clone(), value))
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.collect();
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}
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Vec::new()
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}
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@ -328,12 +307,12 @@ impl SolverBoardIterator {
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}
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fn from_board(board: SolverBoard) -> SolverBoardIterator {
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SolverBoardIterator{cache: HashSet::with_capacity(128), stack: vec![SolverBoardItem::Initial(board)]}
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SolverBoardIterator{cache: HashSet::with_capacity(128), stack: vec![SolverBoardItem::Initial(board)], solve: true}
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}
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fn next_board(&mut self) -> Option<SolverBoard> {
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while let Some(item) = self.stack.pop() {
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// println!("Stack size {}, cache size {}", self.stack.len(), self.cache.len());
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println!("Stack size {}, cache size {}", self.stack.len(), self.cache.len());
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if let Some(board) = self.pop_board(item) {
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return Some(board);
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}
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@ -347,43 +326,20 @@ impl SolverBoardIterator {
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SolverBoardItem::Initial(board) => {
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self.handle_initial(board)
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}
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SolverBoardItem::Process(board, excludes, action) => {
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self.handle_process(board, excludes, action)
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}
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SolverBoardItem::Prepare(board, excludes, actions, index) => {
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self.handle_prepare(board, excludes, actions, index)
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SolverBoardItem::Process(board, action) => {
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self.handle_process(board, action)
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}
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}
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}
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fn handle_initial(&mut self, board: SolverBoard) -> Option<SolverBoard> {
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if board.valid {
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return self.handle_board(Rc::new(board), Rc::new(HashSet::with_capacity(CELLS * VALUES)))
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return self.handle_board(Rc::new(board))
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}
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None
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}
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/**
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* The preparation step is quite memory and time consuming.
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* For this reason it has been extracted into a separate computing step.
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* Best case is, that only the last process step requires preparation.
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*/
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fn handle_prepare(&mut self, board_ref: Rc<SolverBoard>, excludes_ref: Rc<HashSet<Action>>, actions: Rc<Vec<Action>>, index : usize) -> Option<SolverBoard> {
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let mut excludes_ref = excludes_ref; // re-label
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let excludes = Rc::make_mut(&mut excludes_ref);
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// we always start with a high index??
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assert!(board_ref.valid);
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// extend the current exclude list by the exceeded actions in the list (before the own index)
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actions.iter().take(index)
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.for_each(|action| {excludes.insert(action.clone());});
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self.stack.push(SolverBoardItem::Process(Rc::clone(&board_ref), Rc::clone(&excludes_ref), actions[index].clone()));
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None
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}
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fn handle_process(&mut self, board_ref: Rc<SolverBoard>, excludes: Rc<HashSet<Action>>, action: Action) -> Option<SolverBoard> {
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fn handle_process(&mut self, board_ref: Rc<SolverBoard>, action: Action) -> Option<SolverBoard> {
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let mut board_ref = board_ref; // re-label
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let board = Rc::make_mut(&mut board_ref);
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@ -394,19 +350,16 @@ impl SolverBoardIterator {
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return None;
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}
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return self.handle_board(board_ref, excludes);
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return self.handle_board(board_ref);
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}
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fn handle_board(&mut self, board: Rc<SolverBoard>, excludes: Rc<HashSet<Action>>)-> Option<SolverBoard> {
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fn handle_board(&mut self, board: Rc<SolverBoard>)-> Option<SolverBoard> {
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if !board.is_solved() {
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let actions = Rc::new(board.get_all_actions());
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actions.iter()
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.enumerate()
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.rev() //
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.filter(|it| !excludes.contains(it.1))
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.for_each(|it| self.stack.push(SolverBoardItem::Prepare(Rc::clone(&board), Rc::clone(&excludes), Rc::clone(&actions), it.0)))
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let actions = board.get_probe_actions();
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actions.into_iter()
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.for_each(|action| self.stack.push(SolverBoardItem::Process(Rc::clone(&board), action)))
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}
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Some((*board).clone())
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}
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