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  • hash

    HashSet Set接口,元素不能重复,要确保重写hashCode()方法和equals()方法,这样才能比较对象的值是否相等

    HashMap Map接口,key可为null
    线程安全ConcurrentHashMap(Map接口)、HashTable
    按次序存储LinkedHashMap(HashMap,Map接口)
    排序TreeMap Map接口

    package com.xmh.mq;
    /** 
    * Hash算法大全<br> 
    * 推荐使用FNV1算法 
    * @algorithm None 
    * @author Goodzzp 2006-11-20 
    * @lastEdit Goodzzp 2006-11-20 
    * @editDetail Create 
    */
    public class HashAll 
    { 
      /**//** 
      * 加法hash 
      * @param key 字符串 
      * @param prime 一个质数 
      * @return hash结果 
      */
      public static int additiveHash(String key, int prime) 
      { 
        int hash, i; 
        for (hash = key.length(), i = 0; i < key.length(); i++) 
          hash += key.charAt(i); 
        return (hash % prime); 
      } 
      /**//** 
      * 旋转hash 
      * @param key 输入字符串 
      * @param prime 质数 
      * @return hash值 
      */
      public static int rotatingHash(String key, int prime) 
      { 
        int hash, i; 
        for (hash=key.length(), i=0; i<key.length(); ++i) 
          hash = (hash<<4)^(hash>>28)^key.charAt(i); 
        return (hash % prime); 
        //  return (hash ^ (hash>>10) ^ (hash>>20)); 
      } 
      // 替代: 
      // 使用:hash = (hash ^ (hash>>10) ^ (hash>>20)) & mask; 
      // 替代:hash %= prime; 
      /**//** 
      * MASK值,随便找一个值,最好是质数 
      */
      static int M_MASK = 0x8765fed1; 
      /**//** 
      * 一次一个hash 
      * @param key 输入字符串 
      * @return 输出hash值 
      */
      public static int oneByOneHash(String key) 
      { 
        int  hash, i; 
        for (hash=0, i=0; i<key.length(); ++i) 
        { 
          hash += key.charAt(i); 
          hash += (hash << 10); 
          hash ^= (hash >> 6); 
        } 
        hash += (hash << 3); 
        hash ^= (hash >> 11); 
        hash += (hash << 15); 
        //  return (hash & M_MASK); 
        return hash; 
      } 
      /**//** 
      * Bernstein's hash 
      * @param key 输入字节数组 
      * @param level 初始hash常量 
      * @return 结果hash 
      */
      public static int bernstein(String key) 
      { 
        int hash = 0; 
        int i; 
        for (i=0; i<key.length(); ++i) hash = 33*hash + key.charAt(i); 
        return hash; 
      } 
      // 
      /**///// Pearson's Hash 
      // char pearson(char[]key, ub4 len, char tab[256]) 
      // { 
      //  char hash; 
      //  ub4 i; 
      //  for (hash=len, i=0; i<len; ++i) 
      //   hash=tab[hash^key[i]]; 
      //  return (hash); 
      // } 
      /**///// CRC Hashing,计算crc,具体代码见其他 
      // ub4 crc(char *key, ub4 len, ub4 mask, ub4 tab[256]) 
      // { 
      //  ub4 hash, i; 
      //  for (hash=len, i=0; i<len; ++i) 
      //   hash = (hash >> 8) ^ tab[(hash & 0xff) ^ key[i]]; 
      //  return (hash & mask); 
      // } 
      /**//** 
      * Universal Hashing 
      */
      public static int universal(char[]key, int mask, int[] tab) 
      { 
        int hash = key.length, i, len = key.length; 
        for (i=0; i<(len<<3); i+=8) 
        { 
          char k = key[i>>3]; 
          if ((k&0x01) == 0) hash ^= tab[i+0]; 
          if ((k&0x02) == 0) hash ^= tab[i+1]; 
          if ((k&0x04) == 0) hash ^= tab[i+2]; 
          if ((k&0x08) == 0) hash ^= tab[i+3]; 
          if ((k&0x10) == 0) hash ^= tab[i+4]; 
          if ((k&0x20) == 0) hash ^= tab[i+5]; 
          if ((k&0x40) == 0) hash ^= tab[i+6]; 
          if ((k&0x80) == 0) hash ^= tab[i+7]; 
        } 
        return (hash & mask); 
      } 
      /**//** 
      * Zobrist Hashing 
      */
      public static int zobrist( char[] key,int mask, int[][] tab) 
      { 
        int hash, i; 
        for (hash=key.length, i=0; i<key.length; ++i) 
          hash ^= tab[i][key[i]]; 
        return (hash & mask); 
      } 
      // LOOKUP3 
      // 见Bob Jenkins(3).c文件 
      // 32位FNV算法 
      static int M_SHIFT = 0; 
      /**//** 
      * 32位的FNV算法 
      * @param data 数组 
      * @return int值 
      */
      public static int FNVHash(byte[] data) 
      { 
        int hash = (int)2166136261L; 
        for(byte b : data) 
          hash = (hash * 16777619) ^ b; 
        if (M_SHIFT == 0) 
          return hash; 
        return (hash ^ (hash >> M_SHIFT)) & M_MASK; 
      } 
      /**//** 
      * 改进的32位FNV算法1 
      * @param data 数组 
      * @return int值 
      */
      public static int FNVHash1(byte[] data) 
      { 
        final int p = 16777619; 
        int hash = (int)2166136261L; 
        for(byte b:data) 
          hash = (hash ^ b) * p; 
        hash += hash << 13; 
        hash ^= hash >> 7; 
        hash += hash << 3; 
        hash ^= hash >> 17; 
        hash += hash << 5; 
        return hash; 
      } 
      /**//** 
      * 改进的32位FNV算法1 
      * @param data 字符串 
      * @return int值 
      */
      public static int FNVHash1(String data) 
      { 
        final int p = 16777619; 
        int hash = (int)2166136261L; 
        for(int i=0;i<data.length();i++) 
          hash = (hash ^ data.charAt(i)) * p; 
        hash += hash << 13; 
        hash ^= hash >> 7; 
        hash += hash << 3; 
        hash ^= hash >> 17; 
        hash += hash << 5; 
        return hash; 
      } 
      /**//** 
      * Thomas Wang的算法,整数hash 
      */
      public static int intHash(int key) 
      { 
        key += ~(key << 15); 
        key ^= (key >>> 10); 
        key += (key << 3); 
        key ^= (key >>> 6); 
        key += ~(key << 11); 
        key ^= (key >>> 16); 
        return key; 
      } 
      /**//** 
      * RS算法hash 
      * @param str 字符串 
      */
      public static int RSHash(String str) 
      { 
        int b  = 378551; 
        int a  = 63689; 
        int hash = 0; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash = hash * a + str.charAt(i); 
          a  = a * b; 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of RS Hash Function */ 
      /**//** 
      * JS算法 
      */ 
      public static int JSHash(String str) 
      { 
        int hash = 1315423911; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash ^= ((hash << 5) + str.charAt(i) + (hash >> 2)); 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of JS Hash Function */ 
      /**//** 
      * PJW算法 
      */ 
      public static int PJWHash(String str) 
      { 
        int BitsInUnsignedInt = 32; 
        int ThreeQuarters   = (BitsInUnsignedInt * 3) / 4; 
        int OneEighth     = BitsInUnsignedInt / 8; 
        int HighBits     = 0xFFFFFFFF << (BitsInUnsignedInt - OneEighth); 
        int hash       = 0; 
        int test       = 0; 
        for(int i = 0; i < str.length();i++) 
        { 
          hash = (hash << OneEighth) + str.charAt(i); 
          if((test = hash & HighBits) != 0) 
          { 
            hash = (( hash ^ (test >> ThreeQuarters)) & (~HighBits)); 
          } 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of P. J. Weinberger Hash Function */ 
      /**//** 
      * ELF算法 
      */ 
      public static int ELFHash(String str) 
      { 
        int hash = 0; 
        int x  = 0; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash = (hash << 4) + str.charAt(i); 
          if((x = (int)(hash & 0xF0000000L)) != 0) 
          { 
            hash ^= (x >> 24); 
            hash &= ~x; 
          } 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of ELF Hash Function */ 
      /**//** 
      * BKDR算法 
      */ 
      public static int BKDRHash(String str) 
      { 
        int seed = 131; // 31 131 1313 13131 131313 etc.. 
        int hash = 0; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash = (hash * seed) + str.charAt(i); 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of BKDR Hash Function */ 
      /**//** 
      * SDBM算法 
      */ 
      public static int SDBMHash(String str) 
      { 
        int hash = 0; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash = str.charAt(i) + (hash << 6) + (hash << 16) - hash; 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of SDBM Hash Function */ 
      /**//** 
      * DJB算法 
      */ 
      public static int DJBHash(String str) 
      { 
        int hash = 5381; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash = ((hash << 5) + hash) + str.charAt(i); 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of DJB Hash Function */ 
      /**//** 
      * DEK算法 
      */ 
      public static int DEKHash(String str) 
      { 
        int hash = str.length(); 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash = ((hash << 5) ^ (hash >> 27)) ^ str.charAt(i); 
        } 
        return (hash & 0x7FFFFFFF); 
      } 
      /**//* End Of DEK Hash Function */ 
      /**//** 
      * AP算法 
      */ 
      public static int APHash(String str) 
      { 
        int hash = 0; 
        for(int i = 0; i < str.length(); i++) 
        { 
          hash ^= ((i & 1) == 0) ? ( (hash << 7) ^ str.charAt(i) ^ (hash >> 3)) : 
        (~((hash << 11) ^ str.charAt(i) ^ (hash >> 5))); 
        } 
        //    return (hash & 0x7FFFFFFF); 
        return hash; 
      } 
      /**//* End Of AP Hash Function */ 
      /**//** 
      * JAVA自己带的算法 
      */ 
      public static int java(String str) 
      { 
        int h = 0; 
        int off = 0; 
        int len = str.length(); 
        for (int i = 0; i < len; i++) 
        { 
          h = 31 * h + str.charAt(off++); 
        } 
        return h; 
      } 
      /**//** 
      * 混合hash算法,输出64位的值 
      */
      public static long mixHash(String str) 
      { 
        long hash = str.hashCode(); 
        hash <<= 32; 
        hash |= FNVHash1(str); 
        return hash; 
      } 
    }
    
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  • 原文地址:https://www.cnblogs.com/xingminghui/p/9728874.html
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