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//! //! # Satoxid, a SATisfiability encoding library //! //! Satoxid is a library to help with encoding SAT problems with a focus on ergonomics //! and debugability. //! //! ## Example //! ```rust //! use satoxid::{CadicalEncoder, constraints::ExactlyK}; //! //! #[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)] //! enum Var { //! A, B, C //! } //! //! use Var::*; //! //! fn main() { //! let mut encoder = CadicalEncoder::new(); //! //! let constraint = ExactlyK { //! k: 1, //! lits: [A, B, C].iter().copied() //! }; //! //! encoder.add_constraint(constraint); //! //! if let Some(model) = encoder.solve() { //! //! let true_lits = model.vars() //! .filter(|v| v.is_pos()) //! .count(); //! //! assert_eq!(true_lits, 1); //! } //! } //! ``` //! //! ## Concepts //! //! ### Variables //! SAT solvers usually use signed integers to represent literals. //! Depending on the sign, the literal is either positive or negative and the absolute //! value defines the SAT variable. //! //! While this is a simple API for a SAT solver, it can be inconvenient the user //! to encode a problem like this. //! Therefore when using Satoxid we do not work directly with integers but define our own //! variable type where each value of that type is a SAT variable. //! //! As an example, say we want to encode the famous puzzle Sudoku //! (see the examples for a full implementation). //! We have a 9x9 grid where each tile has a x-y-coordinate and a value. //! We can represent this like in this struct `Tile`. //! //! ```rust //! #[derive(Debug, Clone, PartialEq, Eq, Hash)] //! struct Tile { //! x: u32, //! y: u32, //! value: u32, //! } //! ``` //! A value of `Tile` has the meaning that the tile at position (`x`, `y`) has the //! number in `value`. //! //! For a type to be usable as a SAT variable it needs to implement [`SatVar`], //! which just requires the traits [`Debug`], [`Copy`], [`Eq`] and [`Hash`]. //! //! We now can use `Tile` in constraints but by itself it only represents a positive //! literal. //! If we want to use a negative literal we need to wrap it in [`Lit`] which is an enum //! which cleary defines a positive or negative literal. //! //! Finally there is a third type [`VarType`] which can be used as a literal. //! When using functions like //! [`add_constraint_implies_repr`](crate::Encoder::add_constraint_implies_repr) //! Satoxid generates new variables which have no relation to the user defined SAT //! variable like `Tile`. //! [`VarType`] enable the user to be able to use such _unnamed_ variables. //! //! Internally Satoxid handles the translation from user defined SAT variables to //! integer SAT variables for the solver using the [`VarMap`] type. //! //! A common pattern is to use an enum which lists all possible kinds of variable in the //! problem. //! This enum is then used as the main variable type. //! //! ### Constraints //! //! Satoxid comes with a set of predefined constraints in the [`constraints`] module. //! A constraint is a type which can be turned into a finite amount of SAT clauses. //! This is represented using the [`Constraint`] trait. //! //! For example if we wanted to constrain our `Tile` type such that every coordinate //! can only have exactly one value we would use the [`ExactlyK`](crate::constraints::ExactlyK) //! constraint. //! //! ```rust //! use satoxid::constraints::ExactlyK; //! # use satoxid::CadicalEncoder; //! # //! # #[derive(Debug, Clone, PartialEq, Eq, Hash)] //! # struct Tile { //! # x: u32, //! # y: u32, //! # value: u32, //! # } //! # fn main() { //! # let mut encoder = CadicalEncoder::new(); //! # let x = 1; //! # let y = 1; //! //! let constraint = ExactlyK { //! k: 1, //! lits: (1..=9).map(|value| Tile { x, y, value }) //! }; //! encoder.add_constraint(constraint); //! # } //! ``` //! //! For most simple problems the constraints given should suffice, but if necessary the //! user can create their own by implementing this trait. //! //! Sometimes it is necessary to compose multiple different constraints in non trivial //! ways. (e.g. We want at least four different constraints to be satisfied.) //! To do so, the [`ConstraintRepr`] trait allows constraints to be encoded to a single //! new variable which then can be used in other constraints. //! //! ### Encoder and Solvers //! //! The [`Encoder`] is the main type the user interacts with. //! It is given the constraints to be encoded and deals with mapping all SAT variables //! to their corresponding integer SAT variables. //! Additionally it has a [`debug`](crate::Encoder::debug) flag which enables/disables //! debug functionality of the backend (printing the encoded constraints somewhere). //! //! The clauses generated by constraints are given to a type implementing [`Backend`]. //! Such a backend might be a solver which is able to solve the encoded problem or maybe //! just prints the clauses somewhere for external use like [`DimacsWriter`]. //! //! If a backend is capable of solving it implements the [`Solver`] trait and allows the //! user to call [`solve`](crate::Encoder::solve) on the encoder. //! By default Satoxid provides the [CaDiCaL](https://github.com/arminbiere/cadical) SAT solver as a backend which can be used //! with the [`CadicalEncoder`] type definition. //! This dependency can be disabled using the `cadical` feature. use core::fmt; use std::{ collections::HashSet, fmt::Debug, hash::Hash, ops::{Index, Not}, }; pub mod constraints; mod circuit; mod varmap; pub use varmap::VarMap; mod backend; pub use backend::DimacsWriter; #[cfg(feature = "cadical")] pub use backend::CadicalEncoder; use constraints::util; /// Backend abstraction trait. pub trait Backend { /// Add raw clause as integer SAT variable. /// These are usually determined using `VarMap`. fn add_clause<I>(&mut self, lits: I) where I: Iterator<Item = i32>; /// This function is used every time a constraint is encoded, /// when the `debug` flag of [`Encoder`] is enabled. fn add_debug_info<D: Debug>(&mut self, _debug: D) {} fn append_debug_info<D: Debug>(&mut self, _debug: D) {} } /// A trait for Backends with are capable of solving SAT Problems. pub trait Solver: Backend { /// Solve the encoded SAT problem. /// Returns true if the problem is satisfiable. fn solve(&mut self) -> bool; /// Returns if the integer SAT variable is true in the model or not. /// /// This function should panic if solve wasn't called previously or wasn't able to /// solve the problem. fn value(&self, var: i32) -> bool; } /// Trait used to express a constraint. /// Constraints generate a finite set of clauses which are passed to the given backend. pub trait Constraint<V: SatVar>: Debug + Sized + Clone { /// Encode `Self` as an constraint using `solver`. fn encode<B: Backend>(self, backend: &mut B, varmap: &mut VarMap<V>); } /// Trait used to express a constraint which can imply another variable, /// a so called representative (repr). /// /// If no repr is supplied (`None`) then the methods have to choose their own repr. /// It can either be a fresh generated variable using `varmap`, but sometimes the /// structure of the constraint provides a suitable candidate. /// The used repr is returned by the methods. /// If a repr was provided when calling the methods the same repr has to be returned. // We need this trait because we cannot generally express the implication of a constraint // to a repr. // For example if we take all clauses of an AtMostK constraint the input lits // can (less ore equal k) be correct but unnamed vars can be choosen such that some // clauses might still be false which then causes repr to be false. // The behaviour we would want is that repr is false only if the constraint (more than // k lits are true) is false. // If a constraint is however able to express this implication it can implement this // trait. pub trait ConstraintRepr<V: SatVar>: Constraint<V> { /// Encode if `Self` is satisified, that `repr` is true. /// Otherwise `repr` is not constrained and can be true or false. fn encode_constraint_implies_repr<B: Backend>( self, repr: Option<i32>, backend: &mut B, varmap: &mut VarMap<V>, ) -> i32; /// Encode if and only if `Self` is satisified, that `repr` is true. fn encode_constraint_equals_repr<B: Backend>( self, repr: Option<i32>, backend: &mut B, varmap: &mut VarMap<V>, ) -> i32 { let clone = self.clone(); let repr = self.encode_constraint_implies_repr(repr, backend, varmap); util::repr_implies_constraint(clone, repr, backend, varmap); repr } /// Encode that repr is true if the constraint is satisfied. /// The implementation can decide if it has the semantics of /// [`encode_constraint_implies_repr`](ConstraintRepr::encode_constraint_implies_repr) /// or [`encode_constraint_equals_repr`](ConstraintRepr::encode_constraint_equals_repr), /// depending on what is cheaper to encode. fn encode_constraint_repr_cheap<B: Backend>( self, repr: Option<i32>, backend: &mut B, varmap: &mut VarMap<V>, ) -> i32 { self.encode_constraint_implies_repr(repr, backend, varmap) } } /// Enum to define the polarity of variables. /// By itself `Lit` is a constraint, which requires that the variable it wraps is true /// or false depending on the Variant `Pos` and `Neg`. /// /// # Example /// ```rust /// # use satoxid::{CadicalEncoder, Lit}; /// # fn main() { /// # let mut encoder = CadicalEncoder::new(); /// encoder.add_constraint(Lit::Pos("a")); /// encoder.add_constraint(Lit::Neg("b")); /// /// let model = encoder.solve().unwrap(); /// assert!(model["a"]); /// assert!(!model["b"]); /// # } /// ``` #[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)] pub enum Lit<V> { Pos(V), Neg(V), } impl<V> Lit<V> { /// Returns the underlying variable. pub fn var(&self) -> &V { match self { Lit::Pos(v) | Lit::Neg(v) => v, } } /// Returns the owned underlying variable pub fn unwrap(self) -> V { match self { Lit::Pos(v) | Lit::Neg(v) => v, } } /// Returns true if `Lit` is positive. pub fn is_pos(&self) -> bool { matches!(self, Self::Pos(_)) } /// Returns false if `Lit` is negative. pub fn is_neg(&self) -> bool { matches!(self, Self::Pos(_)) } } impl<V: PartialOrd> PartialOrd for Lit<V> { fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> { use std::cmp::Ordering::*; let o = self.var().partial_cmp(other.var())?; if o == Equal { match (self, other) { (Lit::Pos(_), Lit::Neg(_)) => Less, (Lit::Neg(_), Lit::Pos(_)) => Greater, (Lit::Pos(_), Lit::Pos(_)) | (Lit::Neg(_), Lit::Neg(_)) => Equal, } } else { o } .into() } } impl<V: Ord> Ord for Lit<V> { fn cmp(&self, other: &Self) -> std::cmp::Ordering { use std::cmp::Ordering::*; let o = self.var().cmp(other.var()); if o == Equal { match (self, other) { (Lit::Pos(_), Lit::Neg(_)) => Less, (Lit::Neg(_), Lit::Pos(_)) => Greater, (Lit::Pos(_), Lit::Pos(_)) | (Lit::Neg(_), Lit::Neg(_)) => Equal, } } else { o } } } impl<V> Not for Lit<V> { type Output = Self; fn not(self) -> Self::Output { match self { Lit::Pos(v) => Lit::Neg(v), Lit::Neg(v) => Lit::Pos(v), } } } /// Trait which expresses the required trait bounds for a SAT variable. pub trait SatVar: Debug + Hash + Eq + Clone {} impl<V: Hash + Eq + Clone + Debug> SatVar for V {} /// The of successfully solving an encoded problem. #[derive(Clone)] pub struct Model<V> { assignments: HashSet<VarType<V>>, } impl<V: SatVar> Model<V> { /// Returns an interator over assigned literals of user defined SAT variables. pub fn vars(&self) -> impl Iterator<Item = Lit<V>> + Clone + '_ { self.all_vars().filter_map(|v| match v { VarType::Named(v) => Some(v), VarType::Unnamed(_) => None, }) } /// Returns an interator over all defined variables. /// This includes unnamed variables used by various constraints. pub fn all_vars(&self) -> impl Iterator<Item = VarType<V>> + Clone + '_ { self.assignments.iter().cloned() } /// Returns the assignment of a variable. /// Returns `None` if `v` was never used. pub fn var(&self, v: V) -> Option<bool> { let contains_pos = self .assignments .contains(&VarType::Named(Lit::Pos(v.clone()))); let contains_neg = self.assignments.contains(&VarType::Named(Lit::Neg(v))); match (contains_pos, contains_neg) { (true, false) => Some(true), (false, true) => Some(false), (false, false) => None, (true, true) => unreachable!(), } } /// Returns the assignment of a literal. /// Returns `None` if `lit` was never used. pub fn lit(&self, lit: Lit<V>) -> Option<bool> { let is_pos = lit.is_pos(); let v = self.var(lit.unwrap())?; if is_pos { Some(v) } else { Some(!v) } } #[allow(unused)] pub(crate) fn lit_internal(&self, lit: VarType<V>) -> bool { self.assignments.contains(&lit) } } impl<V, L> Index<L> for Model<V> where V: SatVar, L: Into<VarType<V>> + Debug + Clone, { type Output = bool; fn index(&self, l: L) -> &Self::Output { let lit = l.clone().into(); if self.assignments.contains(&lit) { &true } else if self.assignments.contains(&!lit) { &false } else { panic!("Literal {:?} not contained in model!", l); } } } impl<V: SatVar + Ord> Model<V> { #[allow(unused)] pub(crate) fn print_model(&self) { println!("{:?}", { let mut m = self.all_vars().collect::<Vec<_>>(); m.sort(); m }); } } impl<V: SatVar + Ord> Debug for Model<V> { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { let mut model: Vec<_> = self.vars().collect(); model.sort(); model.fmt(f) } } /// Type which represents *every* used SAT variable by the encoder. /// It is either a _named_ user defined SAT variable. /// Or an _unnamed_ generated SAT variable. /// /// Just like [`Lit`] it is a constraint. /// /// # Example /// ```rust /// # use satoxid::{CadicalEncoder, Lit, VarType}; /// # fn main() { /// # let mut encoder = CadicalEncoder::<&'static str>::new(); /// let named_var = VarType::Named(Lit::Pos("a")); /// let unnamed_var = VarType::Unnamed(encoder.varmap.new_var()); /// /// encoder.add_constraint(named_var); /// encoder.add_constraint(unnamed_var); /// /// let model = encoder.solve().unwrap(); /// assert!(model[Lit::Pos("a")]); /// assert!(model[unnamed_var]); /// # } /// ``` #[derive(Clone, Copy, PartialEq, Eq, Hash, PartialOrd, Ord)] pub enum VarType<V> { Named(Lit<V>), Unnamed(i32), } impl<V: fmt::Debug> fmt::Debug for VarType<V> { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { match self { VarType::Named(v) => v.fmt(f), VarType::Unnamed(v) => f.debug_tuple("Unnamed").field(v).finish(), } } } impl<V> Not for VarType<V> { type Output = Self; fn not(self) -> Self::Output { match self { VarType::Named(v) => VarType::Named(!v), VarType::Unnamed(v) => VarType::Unnamed(-v), } } } impl<V: SatVar> From<Lit<V>> for VarType<V> { fn from(l: Lit<V>) -> Self { VarType::Named(l) } } impl<V: SatVar> From<V> for VarType<V> { fn from(v: V) -> Self { VarType::Named(Lit::Pos(v)) } } /// The Encoder type contains all data used for the encoding. pub struct Encoder<V, S> { pub backend: S, pub varmap: VarMap<V>, pub debug: bool, } impl<V: SatVar, S: Default> Encoder<V, S> { /// Creates a new encoder. pub fn new() -> Self { Self { backend: S::default(), varmap: VarMap::default(), debug: false, } } /// Creates a new encoder and will print out every encoded constraint. pub fn with_debug() -> Self { Self { backend: S::default(), varmap: VarMap::default(), debug: true, } } } struct DisplayAsDebug<T>(T); impl<T: fmt::Display> fmt::Debug for DisplayAsDebug<T> { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { <T as fmt::Display>::fmt(&self.0, f) } } impl<V, B> Encoder<V, B> where V: SatVar, B: Backend, { /// Create a new Encoder using `backend` as the Backend. pub fn with_backend(backend: B) -> Self { Self { backend, varmap: VarMap::default(), debug: false, } } /// Encode a constraint. pub fn add_constraint<C: Constraint<V>>(&mut self, constraint: C) { if self.debug { self.backend.add_debug_info(&constraint); } constraint.encode(&mut self.backend, &mut self.varmap); } /// Encode a constraint such that a variable represents it. /// If the constraint in the solved model is true, the return variable (repr) will /// also be true. /// Otherwise it doesn't constrain repr which can either be true or false. pub fn add_constraint_implies_repr<C: ConstraintRepr<V>>( &mut self, constraint: C, ) -> VarType<V> { if self.debug { self.backend.add_debug_info(&constraint); } let repr = constraint.encode_constraint_implies_repr( None, &mut self.backend, &mut self.varmap, ); if self.debug { self.backend .append_debug_info(DisplayAsDebug(format!(" => {}", repr))); } VarType::Unnamed(repr) } /// Encode a constraint such that a variable represents it. /// Like `add_constraint_implies_repr` but the value of repr will equal the /// constraint satisfied. /// So if constraint wasn't satisfied, repr will be false. pub fn add_constraint_equals_repr<C: ConstraintRepr<V>>( &mut self, constraint: C, ) -> VarType<V> { if self.debug { self.backend.add_debug_info(&constraint); } let repr = constraint.encode_constraint_equals_repr( None, &mut self.backend, &mut self.varmap, ); if self.debug { self.backend .append_debug_info(DisplayAsDebug(format!(" == {}", repr))); } VarType::Unnamed(repr) } } impl<V: SatVar, S: Solver> Encoder<V, S> { /// Solve the encoded problem. /// If problem is unsat then `None` is returned. /// Otherwise a model of the problem is returned. pub fn solve(&mut self) -> Option<Model<V>> { let result = self.backend.solve(); if result { let assignments = self .varmap .iter_internal_vars() .map(|v| { let v = v as i32; let assignment = self.backend.value(v); if let Some(var) = self.varmap.lookup(v) { let var = var.unwrap(); let lit = if assignment { Lit::Pos(var) } else { Lit::Neg(var) }; VarType::Named(lit) } else { let lit = if assignment { v } else { -v }; VarType::Unnamed(lit) } }) .collect(); Some(Model { assignments }) } else { None } } }