/*
 *  This file is part of the Jikes RVM project (http://jikesrvm.org).
 *
 *  This file is licensed to You under the Eclipse Public License (EPL);
 *  You may not use this file except in compliance with the License. You
 *  may obtain a copy of the License at
 *
 *      http://www.opensource.org/licenses/eclipse-1.0.php
 *
 *  See the COPYRIGHT.txt file distributed with this work for information
 *  regarding copyright ownership.
 */
package org.jikesrvm.adaptive.controller;

import org.jikesrvm.VM;
import org.jikesrvm.compilers.common.CompiledMethod;

/**
 * Event used by the Adaptive Inlining Organizer
 * to notify the controller that a call arc
 * originating in a hot method has become hot
 * and therefore recompilation of the method should
 * be considered to enable additional profile-directed inlining.
 */
public final class AINewHotEdgeEvent extends HotMethodEvent implements ControllerInputEvent {

  /**
   * Estimate of the expected benefit if the method is
   * recompiled AT THE SAME OPT LEVEL with the newly
   * enabled profile-directed inlining.
   * <p>
   * TODO: Think about reasonable ways to encode the expected
   * boost factor for recompiling at higher opt levels.
   * In the short run, this is academic, since we only plan to
   * create an instance of this event for methods already compiled
   * at max opt level, but it may be required later.
   * <p>
   * NB: Boost factor is a value >= 1.0!
   * (1.0 means no boost, 1.1 means a 10% improvement, etc).
   */
  private double boostFactor;

  public double getBoostFactor() { return boostFactor; }

  /**
   * @param _cm the compiled method
   * @param _numSamples the number of samples attributed to the method
   * @param _boostFactor improvement expected by applying FDO
   */
  AINewHotEdgeEvent(CompiledMethod _cm, double _numSamples, double _boostFactor) {
    super(_cm, _numSamples);
    if (VM.VerifyAssertions) VM._assert(_boostFactor >= 1.0);
    boostFactor = _boostFactor;
  }

  /**
   * @param _cm the compiled method
   * @param _numSamples the number of samples attributed to the method
   * @param _boostFactor improvement expected by applying FDO
   */
  AINewHotEdgeEvent(CompiledMethod _cm, int _numSamples, double _boostFactor) {
    this(_cm, (double) _numSamples, _boostFactor);
  }

  public String toString() {
    return "NewHotEdgeEvent: " + super.toString() + ", boost factor = " + getBoostFactor();
  }

  /**
   * Called when the controller is ready to process this event.
   * Simply passes itself to the recompilation strategy.
   */
  public void process() {
    CompiledMethod cmpMethod = getCompiledMethod();
    Controller.recompilationStrategy.considerHotCallEdge(cmpMethod, this);
  }

}