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annotate graal/com.oracle.jvmci.meta/src/com/oracle/jvmci/meta/AbstractProfiledItem.java @ 21556:48c1ebd24120

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renamed com.oracle.graal.api[meta|code] modules to com.oracle.jvmci.[meta|code] (JBS:GRAAL-53)
author Doug Simon <doug.simon@oracle.com>
date Wed, 27 May 2015 00:36:16 +0200
parents graal/com.oracle.graal.api.meta/src/com/oracle/graal/api/meta/AbstractProfiledItem.java@082417ac43e4
children
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1 /*
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2 * Copyright (c) 2013, Oracle and/or its affiliates. All rights reserved.
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3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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4 *
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5 * This code is free software; you can redistribute it and/or modify it
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6 * under the terms of the GNU General Public License version 2 only, as
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7 * published by the Free Software Foundation.
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8 *
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9 * This code is distributed in the hope that it will be useful, but WITHOUT
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10 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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11 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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12 * version 2 for more details (a copy is included in the LICENSE file that
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13 * accompanied this code).
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14 *
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15 * You should have received a copy of the GNU General Public License version
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16 * 2 along with this work; if not, write to the Free Software Foundation,
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17 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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18 *
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19 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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20 * or visit www.oracle.com if you need additional information or have any
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21 * questions.
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22 */
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23 package com.oracle.jvmci.meta;
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24
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25 /**
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26 * A profiled type that has a probability. Profiled types are naturally sorted in descending order
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27 * of their probabilities.
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28 */
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29 public abstract class AbstractProfiledItem<T> implements Comparable<AbstractProfiledItem<?>> {
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30
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31 protected final T item;
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32 protected final double probability;
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33
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34 public AbstractProfiledItem(T item, double probability) {
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35 assert item != null;
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36 assert probability >= 0.0D && probability <= 1.0D;
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37 this.item = item;
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38 this.probability = probability;
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39 }
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40
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41 protected T getItem() {
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42 return item;
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43 }
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44
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45 /**
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46 * Returns the estimated probability of {@link #getItem()}.
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47 *
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48 * @return double value &ge; 0.0 and &le; 1.0
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49 */
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50 public double getProbability() {
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51 return probability;
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52 }
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53
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54 @Override
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55 public int compareTo(AbstractProfiledItem<?> o) {
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56 if (getProbability() > o.getProbability()) {
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57 return -1;
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58 } else if (getProbability() < o.getProbability()) {
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59 return 1;
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60 }
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61 return 0;
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62 }
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63
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64 @Override
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65 public int hashCode() {
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66 final int prime = 31;
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67 int result = 1;
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68 long temp;
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69 temp = Double.doubleToLongBits(probability);
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70 result = prime * result + (int) (temp ^ (temp >>> 32));
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71 result = prime * result + item.hashCode();
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72 return result;
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73 }
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74
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75 @Override
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76 public boolean equals(Object obj) {
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77 if (this == obj) {
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78 return true;
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79 }
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80 if (obj == null) {
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81 return false;
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82 }
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83 if (getClass() != obj.getClass()) {
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84 return false;
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85 }
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86 AbstractProfiledItem<?> other = (AbstractProfiledItem<?>) obj;
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87 if (Double.doubleToLongBits(probability) != Double.doubleToLongBits(other.probability)) {
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88 return false;
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89 }
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90 return item.equals(other.item);
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91 }
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92
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93 @Override
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94 public abstract String toString();
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95 }