Java数组,查找重复项

Question

我有一个数组,我正在寻找重复.

duplicates = false;
for(j = 0; j < zipcodeList.length; j++){
    for(k = 0; k < zipcodeList.length; k++){
        if (zipcodeList[k] == zipcodeList[j]){
            duplicates = true;
        }
    }
}

但是,当没有重复时,此代码不起作用.为什么？

Answer 1

在鼻子上回答..

duplicates=false;
for (j=0;j<zipcodeList.length;j++)
  for (k=j+1;k<zipcodeList.length;k++)
    if (k!=j && zipcodeList[k] == zipcodeList[j])
      duplicates=true;

编辑后切换.equals()回==自从我读到你正在使用的某个地方int,这在最初的问题中并不清楚.同样要设置k=j+1,将执行时间减半,但它仍然是O(n ²).

更快(极限)的方式

这是一种基于哈希的方法.你必须为自动装箱付费,但它是O(n)而不是O(n ²).一个有进取心的灵魂会找到一个原始的基于int的哈希集(Apache或Google Collections有这样的东西,可以解决这个问题.)

boolean duplicates(final int[] zipcodelist)
{
  Set<Integer> lump = new HashSet<Integer>();
  for (int i : zipcodelist)
  {
    if (lump.contains(i)) return true;
    lump.add(i);
  }
  return false;
}

向HuyLe低头

请参阅HuyLe对或多或少O(n)解决方案的回答,我认为这需要几个额外的步骤:

static boolean duplicates(final int[] zipcodelist)
{
   final int MAXZIP = 99999;
   boolean[] bitmap = new boolean[MAXZIP+1];
   java.util.Arrays.fill(bitmap, false);
   for (int item : zipcodeList)
     if (!bitmap[item]) bitmap[item] = true;
     else return true;
   }
   return false;
}

或者只是紧凑

static boolean duplicates(final int[] zipcodelist)
{
   final int MAXZIP = 99999;
   boolean[] bitmap = new boolean[MAXZIP+1];  // Java guarantees init to false
   for (int item : zipcodeList)
     if (!(bitmap[item] ^= true)) return true;
   return false;
}

有关系吗？

好吧,所以我运行了一个小基准测试,这个地方都是iffy,但这里是代码:

import java.util.BitSet;

class Yuk
{
  static boolean duplicatesZero(final int[] zipcodelist)
  {
    boolean duplicates=false;
    for (int j=0;j<zipcodelist.length;j++)
      for (int k=j+1;k<zipcodelist.length;k++)
        if (k!=j && zipcodelist[k] == zipcodelist[j])
          duplicates=true;

    return duplicates;
  }


  static boolean duplicatesOne(final int[] zipcodelist)
  {
    final int MAXZIP = 99999;
    boolean[] bitmap = new boolean[MAXZIP + 1];
    java.util.Arrays.fill(bitmap, false);
    for (int item : zipcodelist) {
      if (!(bitmap[item] ^= true))
        return true;
    }
    return false;
  }

  static boolean duplicatesTwo(final int[] zipcodelist)
  {
    final int MAXZIP = 99999;

    BitSet b = new BitSet(MAXZIP + 1);
    b.set(0, MAXZIP, false);
    for (int item : zipcodelist) {
      if (!b.get(item)) {
        b.set(item, true);
      } else
        return true;
    }
    return false;
  }

  enum ApproachT { NSQUARED, HASHSET, BITSET};

  /**
   * @param args
   */
  public static void main(String[] args)
  {
    ApproachT approach = ApproachT.BITSET;

    final int REPS = 100;
    final int MAXZIP = 99999;

    int[] sizes = new int[] { 10, 1000, 10000, 100000, 1000000 };
    long[][] times = new long[sizes.length][REPS];

    boolean tossme = false;

    for (int sizei = 0; sizei < sizes.length; sizei++) {
      System.err.println("Trial for zipcodelist size= "+sizes[sizei]);
      for (int rep = 0; rep < REPS; rep++) {
        int[] zipcodelist = new int[sizes[sizei]];
        for (int i = 0; i < zipcodelist.length; i++) {
          zipcodelist[i] = (int) (Math.random() * (MAXZIP + 1));
        }
        long begin = System.currentTimeMillis();
        switch (approach) {
        case NSQUARED :
          tossme ^= (duplicatesZero(zipcodelist));
          break;
        case HASHSET :
          tossme ^= (duplicatesOne(zipcodelist));
          break;
        case BITSET :
          tossme ^= (duplicatesTwo(zipcodelist));
          break;

        }
        long end = System.currentTimeMillis();
        times[sizei][rep] = end - begin;


      }
      long avg = 0;
      for (int rep = 0; rep < REPS; rep++) {
        avg += times[sizei][rep];
      }
      System.err.println("Size=" + sizes[sizei] + ", avg time = "
            + avg / (double)REPS + "ms");
    }
  }

}

使用NSQUARED:

Trial for size= 10
Size=10, avg time = 0.0ms
Trial for size= 1000
Size=1000, avg time = 0.0ms
Trial for size= 10000
Size=10000, avg time = 100.0ms
Trial for size= 100000
Size=100000, avg time = 9923.3ms

使用HashSet

Trial for zipcodelist size= 10
Size=10, avg time = 0.16ms
Trial for zipcodelist size= 1000
Size=1000, avg time = 0.15ms
Trial for zipcodelist size= 10000
Size=10000, avg time = 0.0ms
Trial for zipcodelist size= 100000
Size=100000, avg time = 0.16ms
Trial for zipcodelist size= 1000000
Size=1000000, avg time = 0.0ms

使用BitSet

Trial for zipcodelist size= 10
Size=10, avg time = 0.0ms
Trial for zipcodelist size= 1000
Size=1000, avg time = 0.0ms
Trial for zipcodelist size= 10000
Size=10000, avg time = 0.0ms
Trial for zipcodelist size= 100000
Size=100000, avg time = 0.0ms
Trial for zipcodelist size= 1000000
Size=1000000, avg time = 0.0ms

BITSET赢了!

但只有一个头发...... 15毫秒是错误的currentTimeMillis(),我的基准测试中有一些漏洞.请注意,对于任何长于100000的列表,您只需返回,true因为会有重复.事实上,如果列表是随机的,你可以为更短的列表返回真正的WHP.什么是道德？在极限中,最有效的实现是:

 return true;

而且你不会经常犯错.

Answer 2

让我们看看你的算法是如何工作的:

an array of unique values:

[1, 2, 3]

check 1 == 1. yes, there is duplicate, assigning duplicate to true.
check 1 == 2. no, doing nothing.
check 1 == 3. no, doing nothing.
check 2 == 1. no, doing nothing.
check 2 == 2. yes, there is duplicate, assigning duplicate to true.
check 2 == 3. no, doing nothing.
check 3 == 1. no, doing nothing.
check 3 == 2. no, doing nothing.
check 3 == 3. yes, there is duplicate, assigning duplicate to true.

一个更好的算法:

for (j=0;j<zipcodeList.length;j++) {
    for (k=j+1;k<zipcodeList.length;k++) {
        if (zipcodeList[k]==zipcodeList[j]){ // or use .equals()
            return true;
        }
    }
}
return false;

Answer 3

您可以使用位图来获得更大的阵列性能.

    java.util.Arrays.fill(bitmap, false);

    for (int item : zipcodeList)
        if (!bitmap[item]) bitmap[item] = true;
        else break;

更新:这是我当天的一个非常疏忽的回答,保留在这里仅供参考.你应该参考andersoj的优秀答案.

Answer 4

要检查重复项，您需要比较不同的对。