Mercurial > hg > Members > kono > jpf-core
diff src/main/gov/nasa/jpf/search/heuristic/HeuristicSearch.java @ 0:61d41facf527
initial v8 import (history reset)
author | Peter Mehlitz <Peter.C.Mehlitz@nasa.gov> |
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date | Fri, 23 Jan 2015 10:14:01 -0800 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/main/gov/nasa/jpf/search/heuristic/HeuristicSearch.java Fri Jan 23 10:14:01 2015 -0800 @@ -0,0 +1,209 @@ +/* + * Copyright (C) 2014, United States Government, as represented by the + * Administrator of the National Aeronautics and Space Administration. + * All rights reserved. + * + * The Java Pathfinder core (jpf-core) platform is licensed under the + * Apache License, Version 2.0 (the "License"); you may not use this file except + * in compliance with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0. + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package gov.nasa.jpf.search.heuristic; + +import gov.nasa.jpf.Config; +import gov.nasa.jpf.search.Search; +import gov.nasa.jpf.vm.VM; + +import java.util.ArrayList; +import java.util.List; + + +/** + * a search strategy class that computes all immediate successors of a given + * state, puts them into a priority queue (the priority is provided by a + * Heuristic strategy object), and processes states in the sequence of + * highest priorities. Note that the queue can be search-global, i.e. we might hop + * between search levels. + */ +public abstract class HeuristicSearch extends Search { + + static final String DEFAULT_HEURISTIC_PACKAGE = "gov.nasa.jpf.search.heuristic."; + + protected HeuristicState parentState; + protected List<HeuristicState> childStates; + + protected boolean isPathSensitive = false; + + /* + * do we use A* adaptation of state priorities, i.e. have a + * distance + cost heuristic (in this context, we just use the + * path length as the "distance") + */ + protected boolean useAstar; + + /* + * a beam search is a HeuristicSearch with a state queue that is reset at each + * search level (i.e. it doesn't hop between search levels when fetching the + * next state from the queue) + */ + protected boolean isBeamSearch; + + + public HeuristicSearch (Config config, VM vm) { + super(config, vm); + + useAstar = config.getBoolean("search.heuristic.astar"); + isBeamSearch = config.getBoolean("search.heuristic.beam_search"); + } + + + // add the current state to the queue + protected abstract HeuristicState queueCurrentState (); + + // return the next queued state, which becomes the new parentState + // implementors can also reset or modify the queue + protected abstract HeuristicState getNextQueuedState (); + + public abstract int getQueueSize(); + public abstract boolean isQueueLimitReached(); + + public HeuristicState getParentState() { + return parentState; + } + + public List<HeuristicState> getChildStates() { + return childStates; + } + + public void setPathSensitive (boolean isPathSensitive) { + this.isPathSensitive = isPathSensitive; + } + + void backtrackToParent () { + backtrack(); + + depth--; + notifyStateBacktracked(); + } + + /* + * generate the set of all child states for the current parent state + * + * overriding methods can use the return value to determine if they + * have to process the childStates, e.g. to compute priorities + * that require the whole set + * + * @returns false if this is cut short by a property termination or + * explicit termination request + */ + protected boolean generateChildren () { + + childStates = new ArrayList<HeuristicState>(); + + while (!done) { + + if (!forward()) { + notifyStateProcessed(); + return true; + } + + depth++; + notifyStateAdvanced(); + + if (currentError != null){ + notifyPropertyViolated(); + if (hasPropertyTermination()) { + return false; + } + + // note that we don't store the error state anymore, which means we + // might encounter it along different paths. However, this is probably + // what we want for search.multiple_errors. + + } else { + + if (!isEndState() && !isIgnoredState()) { + boolean isNewState = isNewState(); + + if (isNewState && depth >= depthLimit) { + // we can't do this before we actually generated the VM child state + // since we don't want to report DEPTH_CONSTRAINTs for parents + // that have only visited or end state children + notifySearchConstraintHit("depth limit reached: " + depthLimit); + + } else if (isNewState || isPathSensitive) { + + if (isQueueLimitReached()) { + notifySearchConstraintHit("queue limit reached: " + getQueueSize()); + } + + HeuristicState newHState = queueCurrentState(); + if (newHState != null) { + childStates.add(newHState); + notifyStateStored(); + } + } + + } else { + // end state or ignored transition + } + } + + backtrackToParent(); + } + + return false; + } + + + private void restoreState (HeuristicState hState) { + vm.restoreState(hState.getVMState()); + + // note we have to query the depth from the VM because the state is taken from the queue + // and we have no idea when it was entered there + depth = vm.getPathLength(); + notifyStateRestored(); + } + + @Override + public void search () { + + queueCurrentState(); + notifyStateStored(); + + // kind of stupid, but we need to get it out of the queue, and we + // don't have to restore it since it's the first one + parentState = getNextQueuedState(); + + done = false; + notifySearchStarted(); + + if (!hasPropertyTermination()) { + generateChildren(); + + while (!done && (parentState = getNextQueuedState()) != null) { + restoreState(parentState); + + generateChildren(); + } + } + + notifySearchFinished(); + } + + @Override + public boolean supportsBacktrack () { + // we don't do multi-level backtracks, but automatically do backtrackToParent() + // after each child state generation + return false; + } +} + +