Java Distribution类代码示例

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
public static String printDistribution(Distribution dist) {
	
	String printDist = "[ ";
	int size = dist.getValues().size();
	if(size == 0)
		return "[ ]";
	if(size == 1)
		return "[ " + dist.getValues().get(0) + " ]";
	Double[] dblArr = new Double[size];
	dist.getValues().toArray(dblArr);
	for (int i = 0; i < size; i++) {
		printDist += dblArr[i];
		if(i < (size - 1)) {
			printDist += ", ";
		}
	}
	printDist += " ]";
	return printDist;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
/**
 * Converts the <code>Distribution</code> object to <code>double[]</code> array.
 * @param distribution
 * @param chunk (just for reference)
 * @return <code>double[]</code> array
 */
private double[] getDoubleArrayFromDistribution(Distribution distribution, Chunk chunk) {
	
	List<Double> values = distribution.getValues();
	double[] result = new double[values.size()];
	int i = 0; double sum = 0.0;
	for (Double d : values) {
		result[i++] = d.doubleValue();
		sum += d;
	}
	/* sum != 1.0 */
	// seems that we need to introduce less rigorous check here, because of the floating point imprecision
	// therefore, lower and upper limits are introduced. 3 decimal places should be sufficient...
	if(sum < DIST_SUM_LIMIT_LOW || sum > DIST_SUM_LIMIT_HI) {
		throw new ReasonerException(String.format(
				"Sum of distribution values [raw: " + sum + ", formatted: %f] is not equal to 1.0 for node: '%s'. "
				+ "Check performed within limits: %f - %f", sum, chunk.getId(), DIST_SUM_LIMIT_LOW, DIST_SUM_LIMIT_HI));
	}
	return result;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
@Test
public void invalidCountOfDistributionLevels() {
	
	engine = new KPARiskAnalysisTool();
	engine.loadModel(convertStreamToString(
			KPAUnitTesting.class.getResourceAsStream("resources/valid/Timeliness.xdsl")));
	for (Chunk c : engine.queryModel(ModelSlice.INPUT_DATA)) {
		if ("VAverage_bug_fix_time__days_".equals(c.getId())) {
			Field f = engine.getField(c, FieldType.INPUT_VALUE);
			System.out.println("Read default distribution: " + f.getValue());
			List<Double> values = new ArrayList<Double>();
			values.add(0.42);
			values.add(0.22);
			Distribution distribution = new Distribution();
			distribution.setValues(values);
			f.setValue(distribution);
			this.exception.expect(ReasonerException.class);
			engine.setField(c, FieldType.INPUT_VALUE, f);
			break;
		}
	}
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
/**
 * Test checks whether the exception is thrown for distribution sum > 1.0.
 */
@Test
public void distributionSumNotEqualTo1() {
	
	engine.loadModel(convertStreamToString(KPAUnitTesting.class.getResourceAsStream("resources/valid/Timeliness.xdsl")));
	
	Chunk chunk = new Chunk("VHour__When_the_commit_was_made", "Timeliness");
	Distribution distribution = new Distribution();
	List<Double> values = new ArrayList<>(0);
	values.add(0.5);
	values.add(0.4);
	values.add(0.3);
	distribution.setValues(values);
	Field field = new Field(DataType.DISTRIBUTION, distribution);
	
	this.exception.expect(ReasonerException.class);
	
	this.engine.setField(chunk, FieldType.INPUT_VALUE, field);
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
RiskData field2RiskData( String id, String target, Field f ) {
	RiskData rd = null;
	switch( f.getDataType() ) {
	case EVIDENCE: {
		Evidence e = f.getValue();
		rd = new RiskData( id, target, date, RiskDataType.EVIDENCE, e.pack() );
	}
	break;
	case DISTRIBUTION: {
		Distribution d = f.getValue();
		rd = new RiskData( id, target, date, RiskDataType.DISTRIBUTION, d.pack() );
	}
	break;
	case INTEGER:
	case REAL: {
		rd = new RiskData( id, target, date, RiskDataType.NUMBER, "" + f.getValue().toString() );
	}
	break;
	case STRING:
		break;
	case NaN:
	default:
		break;
	}
	return rd;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
public HorizontalDistributionGauge( Distribution d, int w, int h, Color[] colors ) {
	
	super( w, h, BufferedImage.TYPE_INT_ARGB );
	
	if( colors == null ) {
		colors = new Color[d.getValues().size()];
		for( int i = 0; i < d.getValues().size(); i++ ) {
			colors[i] =  mkColor( i, d.getValues().size() );
		}
	}
	
	assert( d.getValues().size() == colors.length );
	
	this.distribution = d;
	this.colors = colors;
	
	this.bars = mkBars( d, mleft, mtop, w -(mleft + mright), h -(mtop + mbottom) );
	
	Graphics2D g = (Graphics2D)getGraphics();
	g.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON );
	g.setColor( Color.white );
	g.fillRect( 0, 0, w, h );
	paint( d, g, mleft, mtop, w -(mleft + mright), h -(mtop + mbottom) );
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
private Rectangle2D[] mkBars( Distribution d, int x, int y, int w, int h ) {
	Rectangle2D[] rects = new Rectangle2D[d.getValues().size()];
	double step = ((double)h) / d.getValues().size();
	for( int i = 0; i < d.getValues().size(); i++ ) {
		
		double val = d.getValues().get( i );
		
		double xi = x; // + w - (val * w); // + (step * i);
		double yi = y + (step * i); //+ h - (val * h);
		double hi = step -2;
		double wi = (val * w);
		
		rects[i] = new Rectangle2D.Double( xi, yi, wi, hi );
	}
	return rects;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
public DistributionGauge( Distribution d, int w, int h, Color[] colors ) {
	
	super( w, h, BufferedImage.TYPE_INT_ARGB );
	
	if( colors == null ) {
		colors = new Color[d.getValues().size()];
		for( int i = 0; i < d.getValues().size(); i++ ) {
			colors[i] =  mkColor( i, d.getValues().size() );
		}
	}
	
	assert( d.getValues().size() == colors.length );
	
	this.distribution = d;
	this.colors = colors;
	
	this.bars = mkBars( d, mleft, mtop, w -(mleft + mright), h -(mtop + mbottom) );
	
	Graphics2D g = (Graphics2D)getGraphics();
	g.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON );
	g.setColor( Color.white );
	g.fillRect( 0, 0, w, h );
	paint( d, g, mleft, mtop, w -(mleft + mright), h -(mtop + mbottom) );
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
private Rectangle2D[] mkBars( Distribution d, int x, int y, int w, int h ) {
	Rectangle2D[] rects = new Rectangle2D[d.getValues().size()];
	double step = ((double)w) / d.getValues().size();
	for( int i = 0; i < d.getValues().size(); i++ ) {
		
		double val = d.getValues().get( i );
		
		double xi = x + (step * i);
		double yi = y + h - (val * h);
		double hi = (val * h);
		double wi = step -2;
		
		rects[i] = new Rectangle2D.Double( xi, yi, wi, hi );
	}
	return rects;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
public static Distribution getDistributionFromDoubleArray(double[] array) {
	
	List<Double> values = new ArrayList<>();
	for (int i = 0; i < array.length; i++) {
		values.add(array[i]);
	}
	Distribution result = new Distribution();
	result.setValues(values);
	return result;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
/**
 * Converts the <code>double[]</code> array to <code>Distribution</code> object.
 * @param array
 * @return <code>Distribution</code>
 */
private Distribution getDistributionFromDoubleArray(double[] array) {
	
	List<Double> values = new ArrayList<>();
	for (int i = 0; i < array.length; i++) {
		values.add(array[i]);
	}
	Distribution result = new Distribution();
	result.setValues(values);
	return result;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
@Test
public void confirmEvidenceIsSet() {
	
	boolean result = false;
	engine = new KPARiskAnalysisTool();
	engine.loadModel(convertStreamToString(
			KPAUnitTesting.class.getResourceAsStream("resources/valid/Timeliness.xdsl")));
	for (Chunk c : engine.queryModel(ModelSlice.INPUT_DATA)) {
		if ("VAverage_bug_fix_time__days_".equals(c.getId())) {
			Field f = engine.getField(c, FieldType.INPUT_VALUE);
			System.out.println("Read default distribution: " + f.getValue());
			List<Double> values = new ArrayList<Double>();
			values.add(0.42);
			values.add(0.22);
			values.add(0.16);
			values.add(0.11);
			values.add(0.09);
			Distribution distribution = new Distribution();
			distribution.setValues(values);
			f.setValue(distribution);
			engine.setField(c, FieldType.INPUT_VALUE, f);
			Field f2 = engine.getField(c, FieldType.INPUT_VALUE);
			System.out.println("Compared distributions before and after setting the evidence: " + 
					f.getValue() + " - " + f2.getValue() + "\n");
			result = compareDistributions((Distribution)f.getValue(), (Distribution)f2.getValue());
			break;
		}
	}
	Assert.assertTrue(result);
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
private JsonElement toJson(Distribution d) {
	JsonArray a = new JsonArray();
	for( double val : d.getValues() ) {
		a.add( new JsonPrimitive( "" + val ) );
	}
	return a;
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
void flatten( Distribution d, int fixedBar ) {
	List<Double> v = d.getValues();
	double diff = diff( d );
	for( int i = 0; i < v.size(); i++ ) {
		if( diff == 0 ) break;
		if( i == fixedBar ) continue;
		double n = v.get( i ) + diff;
		if( n < 0 ) n = 0;
		if( n > 1 ) n = 1;
		v.set( i, n );
		diff = diff( d );
	}
}
 

import eu.riscoss.reasoner.Distribution; //导入依赖的package包/类
private void paint( Distribution d, Graphics2D g, int x, int y, int w, int h ) {
	
	g.setFont( g.getFont().deriveFont( (float)10 ) );
	for( int i = 0; i < bars.length; i++ ) {
		Rectangle2D r = bars[i];
		g.setColor( colors[i] );
		g.fill( r );
		g.setColor( Color.black );
		g.draw( r );
		g.drawString( (int)(distribution.getValues().get( i ) * 100) + "%", (float)r.getX() +2, (float)r.getMaxY() -3 );
	}
}