I have an array, and am looking for duplicates.
duplicates = false;
for(j = 0; j < zipcodeList.length; j++){
for(k = 0; k < zipcodeList.length; k++){
if (zipcodeList[k] == zipcodeList[j]){
duplicates = true;
}
}
}
However, this code doesnt work when there are no duplicates. Whys that?
function checkIfArrayIsUnique(myArray) { for (var i = 0; i < myArray. length; i++) { for (var j = 0; j < myArray. length; j++) { if (i != j) { if (myArray[i] == myArray[j]) { return true; // means there are duplicate values } } } } return false; // means there are no duplicate values. }
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;
Edited to switch .equals()
back to ==
since I read somewhere you're using int
, which wasn't clear in the initial question. Also to set k=j+1
, to halve execution time, but it's still O(n2).
Here's a hash based approach. You gotta pay for the autoboxing, but it's O(n) instead of O(n2). An enterprising soul would go find a primitive int-based hash set (Apache or Google Collections has such a thing, methinks.)
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; }
See HuyLe's answer for a more or less O(n) solution, which I think needs a couple of add'l steps:
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; }
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; }
Well, so I ran a little benchmark, which is iffy all over the place, but here's the code:
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"); } } }
With 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
With 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
With 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
But only by a hair... .15ms is within the error for currentTimeMillis()
, and there are some gaping holes in my benchmark. Note that for any list longer than 100000, you can simply return true
because there will be a duplicate. In fact, if the list is anything like random, you can return true WHP for a much shorter list. What's the moral? In the limit, the most efficient implementation is:
return true;
And you won't be wrong very often.
Let's see how your algorithm works:
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.
a better algorithm:
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;
You can use bitmap for better performance with large array.
java.util.Arrays.fill(bitmap, false);
for (int item : zipcodeList)
if (!bitmap[item]) bitmap[item] = true;
else break;
UPDATE: This is a very negligent answer of mine back in the day, keeping it here just for reference. You should refer to andersoj's excellent answer.
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