Struct InDomainSplitRandom

pub struct InDomainSplitRandom;

A ValueSelector which bisects the domain in the middle (between the lower-bound and lower-bound, disregarding holes), randomly selecting whether to exclude the lower-half or the upper-half.

Trait Implementations

impl Clone for InDomainSplitRandom

fn clone(&self) -> InDomainSplitRandom

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for InDomainSplitRandom

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl ValueSelector<DomainId> for InDomainSplitRandom

fn select_value( &mut self, context: &mut SelectionContext<'_>, decision_variable: DomainId, ) -> Predicate

Determines which value in the domain of decision_variable to branch next on. The domain of the decision_variable variable should have at least 2 values in it (as it otherwise should not have been selected as decision_variable). Returns a Predicate specifying the required change in the domain.

fn is_restart_pointless(&mut self) -> bool

This method returns whether a restart is currently pointless for the ValueSelector.

fn on_unassign_literal(&mut self, _literal: Literal)

A function which is called after a Literal is unassigned during backtracking (i.e. when it was fixed but is no longer), specifically, it provides literal which is the Literal which has been reset. This method could thus be called multiple times in a single backtracking operation by the solver.

fn on_unassign_integer(&mut self, _variable: DomainId, _value: i32)

A function which is called after a DomainId is unassigned during backtracking (i.e. when it was fixed but is no longer), specifically, it provides variable which is the DomainId which has been reset and value which is the value to which the variable was previously fixed. This method could thus be called multiple times in a single backtracking operation by the solver.

fn on_solution(&mut self, _solution: SolutionReference<'_>)

This method is called when a solution is found; either when iterating over all solutions in the case of a satisfiable problem or on solutions of increasing quality when solving an optimisation problem.

impl Copy for InDomainSplitRandom