// Copyright 2020 Xavier Gillard // // Permission is hereby granted, free of charge, to any person obtaining a copy of // this software and associated documentation files (the "Software"), to deal in // the Software without restriction, including without limitation the rights to // use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of // the Software, and to permit persons to whom the Software is furnished to do so, // subject to the following conditions: // // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS // FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR // COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER // IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN // CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. use std::cmp::Ordering; use ddo::*; use crate::model::State; /// In addition to a problem definition and a relaxation (DP model and Relax), ddo requires /// that we provide it with a `StateRanking`. This is an heuristic which is used to select /// the most and least promising nodes as a means to only delete/merge the *least* promising /// nodes when compiling restricted and relaxed DDs. #[derive(Debug, Clone)] pub struct Max2SatRanking; impl StateRanking for Max2SatRanking { type State = State; fn compare(&self, x: &State, y: &State) -> Ordering { let xrank = x.rank(); let yrank = y.rank(); xrank.cmp(&yrank) } }