File: LogLog8.java

package info (click to toggle)
bbmap 39.20%2Bdfsg-3
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 26,024 kB
  • sloc: java: 312,743; sh: 18,099; python: 5,247; ansic: 2,074; perl: 96; makefile: 39; xml: 38
file content (170 lines) | stat: -rwxr-xr-x 5,236 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
package cardinality;

import shared.Parser;
import shared.Tools;
import structures.LongList;

/**
 * @author Brian Bushnell
 * @date Mar 6, 2020
 *
 */
public final class LogLog8 extends CardinalityTracker {
	
	/*--------------------------------------------------------------*/
	/*----------------        Initialization        ----------------*/
	/*--------------------------------------------------------------*/
	
	/** Create a LogLog with default parameters */
	LogLog8(){
		this(2048, 31, -1, 0);
	}
	
	/** Create a LogLog with parsed parameters */
	LogLog8(Parser p){
		super(p);
		maxArray=new byte[buckets];
	}
	
	/**
	 * Create a LogLog with specified parameters
	 * @param buckets_ Number of buckets (counters)
	 * @param k_ Kmer length
	 * @param seed Random number generator seed; -1 for a random seed
	 * @param minProb_ Ignore kmers with under this probability of being correct
	 */
	LogLog8(int buckets_, int k_, long seed, float minProb_){
		super(buckets_, k_, seed, minProb_);
		maxArray=new byte[buckets];
	}
	
	/*--------------------------------------------------------------*/
	/*----------------           Methods            ----------------*/
	/*--------------------------------------------------------------*/
	
//	/** Restores floating point to integer */
//	private long restore2(int score, int bucket){
//		final int bucketBits=Integer.numberOfTrailingZeros(buckets);
//		int leading=score;
//		long mantissa=(1L<<bucketBits)|bucket;
//		int shift=wordlen-leading-bucketBits-1;
//		long original=mantissa<<shift;
//		return original;
//	}
	
	/** Restores floating point to integer */
	private long restore(int score){
		int leading=score;
		long mantissa=1;
		int shift=64-leading-1;
		long original=mantissa<<shift;
		return original;
	}
	
	@Override
	public final long cardinality(){
		double difSum=0;
		double estLogSum=0;
		int count=0;
		LongList list=new LongList(buckets);
		
		for(int i=0; i<maxArray.length; i++){
			int max=maxArray[i];
			long val=restore(max);
			if(max>0 && val>0){
				final long dif=val;
				difSum+=dif;
				count++;
				double est=2*(Long.MAX_VALUE/(double)dif)*SKIPMOD;
				estLogSum+=Math.log(est);
				list.add(dif);
			}
		}
			
		final int div=count;//Could also be count be that causes problems
		final double mean=difSum/Tools.max(div, 1);
		list.sort();
		final long median=list.median();
		final double mwa=list.medianWeightedAverage();
		
		//What to use as the value from the counters 
		final double proxy=mean;
		
//		assert(false) : mean+", "+median+", "+difSum+", "+list;
		
		final double estimatePerSet=2*(Long.MAX_VALUE/proxy)*SKIPMOD;
		
		//12000000        16635460.58 //8k sims, 100k reads, 128k buckets
		//16635789.16  //16k sims, 100k reads, 128k buckets
		//16635901.26  //64k sims
		//16635476.90  //128k
		//16635631.18  //256k
		//16635645.59  //512k
		
		//0.72134379048167576520498945661274
		//0.72134281774212774758647730006006
		final double conversionFactor=0.7213428177;
		final double total=conversionFactor*estimatePerSet*div*((count+buckets)/(float)(buckets+buckets));

//		final double estSum=div*Math.exp(estLogSum/(Tools.max(div, 1)));
//		double medianEst=2*(Long.MAX_VALUE/(double)median)*SKIPMOD*div;
		
//		new Exception().printStackTrace();
		
//		System.err.println(maxArray);
////		Overall, it looks like "total" is the best, then "estSum", then "medianEst" is the worst, in terms of variance.
//		System.err.println("difSum="+difSum+", count="+count+", mean="+mean+", est="+estimatePerSet+", total="+(long)total);
//		System.err.println("estSum="+(long)estSum+", median="+median+", medianEst="+(long)medianEst);
		
		long cardinality=(long)(total);
		lastCardinality=cardinality;
		return cardinality;
	}
	
	@Override
	public final void add(CardinalityTracker log){
		assert(log.getClass()==this.getClass());
		add((LogLog8)log);
	}
	
	public void add(LogLog8 log){
		if(maxArray!=log.maxArray){
			for(int i=0; i<buckets; i++){
				maxArray[i]=Tools.max(maxArray[i], log.maxArray[i]);
			}
		}
	}
	
	@Override
	public void hashAndStore(final long number){
//		if(number%SKIPMOD!=0){return;} //Slows down moderately
		long key=number;
		
//		key=hash(key, tables[((int)number)&numTablesMask]);
		
		key=Tools.hash64shift(key);
//		if(key<0 || key>maxHashedValue){return;}//Slows things down by 50% lot, mysteriously
		byte leading=(byte)(Long.numberOfLeadingZeros(key)&63);//mask is used to keep number in 6 bits 
		
//		counts[leading]++;
		
//		if(leading<3){return;}//Slows things down slightly
//		final int bucket=(int)((number&Integer.MAX_VALUE)%buckets);
		final int bucket=(int)(key&bucketMask);
		
		maxArray[bucket]=Tools.max(leading, maxArray[bucket]);
	}
	
	@Override
	public final float[] compensationFactorLogBucketsArray(){
		return null;
	}
	
	/*--------------------------------------------------------------*/
	/*----------------            Fields            ----------------*/
	/*--------------------------------------------------------------*/
	
	/** Maintains state.  These are the actual buckets. */
	private final byte[] maxArray;

}