Here you can find the source of hashCode(int x)
public static int hashCode(int x)
//package com.java2s; /*/* www . ja v a 2s . c o m*/ * Copyright (C) 2014 The Android Open Source Project * * 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. */ public class Main { /** * Hash every element uniformly using the Modified Bernstein hash. * * <p>Useful to implement a {@link Object#hashCode} for uniformly distributed data.</p> * * @param array a non-{@code null} array of integers * * @return the numeric hash code */ public static int hashCode(int[] array) { if (array == null) { return 0; } /* * Note that we use 31 here instead of 33 since it's preferred in Effective Java * and used elsewhere in the runtime (e.g. Arrays#hashCode) * * That being said 33 and 31 are nearly identical in terms of their usefulness * according to http://svn.apache.org/repos/asf/apr/apr/trunk/tables/apr_hash.c */ int h = 1; for (int x : array) { // Strength reduction; in case the compiler has illusions about divisions being faster h = ((h << 5) - h) ^ x; // (h * 31) XOR x } return h; } /** * Hash every element uniformly using the Modified Bernstein hash. * * <p>Useful to implement a {@link Object#hashCode} for uniformly distributed data.</p> * * @param array a non-{@code null} array of floats * * @return the numeric hash code */ public static int hashCode(float[] array) { if (array == null) { return 0; } int h = 1; for (float f : array) { int x = Float.floatToIntBits(f); h = ((h << 5) - h) ^ x; // (h * 31) XOR x } return h; } /** * Hash every element uniformly using the Modified Bernstein hash. * * <p>Useful to implement a {@link Object#hashCode} for uniformly distributed data.</p> * * @param array a non-{@code null} array of objects * * @return the numeric hash code */ public static <T> int hashCode(T[] array) { if (array == null) { return 0; } int h = 1; for (T o : array) { int x = (o == null) ? 0 : o.hashCode(); h = ((h << 5) - h) ^ x; // (h * 31) XOR x } return h; } public static <T> int hashCode(T a) { return (a == null) ? 0 : a.hashCode(); } public static <T> int hashCode(T a, T b) { int h = hashCode(a); int x = (b == null) ? 0 : b.hashCode(); h = ((h << 5) - h) ^ x; // (h * 31) XOR x return h; } public static <T> int hashCode(T a, T b, T c) { int h = hashCode(a, b); int x = (c == null) ? 0 : c.hashCode(); h = ((h << 5) - h) ^ x; // (h * 31) XOR x return h; } public static <T> int hashCode(T a, T b, T c, T d) { int h = hashCode(a, b, c); int x = (d == null) ? 0 : d.hashCode(); h = ((h << 5) - h) ^ x; // (h * 31) XOR x return h; } public static int hashCode(int x) { return hashCode(new int[] { x }); } public static int hashCode(int x, int y) { return hashCode(new int[] { x, y }); } public static int hashCode(int x, int y, int z) { return hashCode(new int[] { x, y, z }); } public static int hashCode(int x, int y, int z, int w) { return hashCode(new int[] { x, y, z, w }); } public static int hashCode(int x, int y, int z, int w, int t) { return hashCode(new int[] { x, y, z, w, t }); } }