I'm working on writing a Java class library which includes the following implementation of a counting bloom filter:

    package sj224.lib.util;

    import java.util.function.Predicate;
    import java.util.Random;
    
    public class BloomFilter<V> implements Predicate<V>{
    	private final int size;
    	private int count;
    	private final int bpe;
    	private final int[] data;
    	public int hashCode(){
    		long t=count;
    		for(int i=0;i<size;i++){
    			t+=(long)((data[i]%2)*Math.pow(2, i%64));
    		}
    		return new Random(t).nextInt();
    	}
    	public String toString(){
    		return size+"-bit Bloom Filter containing "+count+" elements (hash code "+hashCode()+")";
    	}
    	public BloomFilter(int space){
    		data=new int[space];
    		size=space;
    		bpe=Math.max(3, Math.min(size/8,(int)Math.sqrt(size)));
    		count=0;
    	}
    	public int size(){
    		return count;
    	}
    	private int[] hash(V v){
    		Random r=new Random(v.hashCode());
    		int[] keys=new int[size];
    		for(int i=0;i<bpe;i++){
    			keys[r.nextInt(size)]=1;
    		}
    		return keys;
    	}
    	public BloomFilter(){
    		this(64);
    	}
    	public BloomFilter(Iterable<V> source){
    		this(64);
    		for(V i:source)insert(i);
    	}
    	public boolean remove(V v){
    		int[] a=hash(v);
    		for(int i=0;i<size;i++){
    			if(data[i]<a[i])return false;
    		}
    		for(int i=0;i<size;i++){
    			data[i]-=a[i];
    		}
    		count--;
    		return true;
    	}
    	public void clear(){
    		for(int i=0;i<size;i++)data[i]=0;
    	}
    	public void insert(V v){
    		int[] a=hash(v);
    		for(int i=0;i<size;i++){
    			data[i]+=a[i];
    		}
	    	count++;
    	}
    	public boolean contains(V v){
    		int[] a=hash(v);
    		for(int i=0;i<size;i++){
    		return true;
    	}
    			if(data[i]<a[i])return false;
    		}
    	public boolean test(V v){
	    	return contains(v);
    	}
    }

Is there anything here that can reasonably be improved?