private void spawnRandomers() {
for (int i = 0; i < randomN; i++) {
float x = (float) Math.random() * width;
float y = (float) Math.random() * height;
float r =
(float)
Math.sqrt(
Math.pow(((Player) players.get(0)).getX() - x, 2)
+ Math.pow(((Player) players.get(0)).getY() - x, 2));
while (r < distanceLimit) {
x = (float) Math.random() * width;
y = (float) Math.random() * height;
r =
(float)
Math.sqrt(
Math.pow(((Player) players.get(0)).getX() - x, 2)
+ Math.pow(((Player) players.get(0)).getY() - y, 2));
}
enemies.add(new EnemyTypes.Random(x, y, 0.5f, borders));
}
spawnRandomersB = false;
}
public void mouseDragged(MouseEvent evt) {
Graphics g = canvas.getGraphics();
g.setColor(color);
if (type == 0) {
g.setXORMode(canvas.getBackground());
g.drawRect(start.x, start.y, end.x - start.x, end.y - start.y);
end = evt.getPoint();
g.drawRect(start.x, start.y, end.x - start.x, end.y - start.y);
} else if (type == 1) {
int radius;
g.setXORMode(canvas.getBackground());
radius = (int) Math.sqrt(Math.pow(end.x - start.x, 2) + Math.pow(end.y - start.y, 2));
g.drawOval(start.x - radius, start.y - radius, 2 * radius, 2 * radius);
end = evt.getPoint();
radius = (int) Math.sqrt(Math.pow(end.x - start.x, 2) + Math.pow(end.y - start.y, 2));
g.drawOval(start.x - radius, start.y - radius, 2 * radius, 2 * radius);
} else if (type == 2) {
g.setXORMode(canvas.getBackground());
g.drawOval(start.x, start.y, end.x - start.x, end.y - start.y);
end = evt.getPoint();
g.drawOval(start.x, start.y, end.x - start.x, end.y - start.y);
}
}
private static int adjust(int expectedOnMyMachine, long thisTiming, long ethanolTiming) {
// most of our algorithms are quadratic. sad but true.
double speed = 1.0 * thisTiming / ethanolTiming;
double delta = speed < 1 ? 0.9 + Math.pow(speed - 0.7, 2) : 0.45 + Math.pow(speed - 0.25, 2);
expectedOnMyMachine *= delta;
return expectedOnMyMachine;
}
// calculate the radius of a given ellipse with give angle
private double getEllipseRadius(double a, double b, double theta) {
double d =
Math.pow(a, 2) * Math.pow(Math.cos(theta), 2)
+ Math.pow(b, 2) * Math.pow(Math.sin(theta), 2);
double sd = Math.sqrt(d);
return a * b / sd;
}
public void paint(Graphics g) {
level = level_in;
left_width_factor = (float) Math.pow(2.0, -1 / left_alpha);
right_width_factor = (float) Math.pow(2.0, -1 / right_alpha);
left_height_factor = (float) Math.pow(2.0, -2 / (3 * left_alpha));
right_height_factor = (float) Math.pow(2.0, -2 / (3 * right_alpha));
x = (float) 600 / 2.0f;
y = (float) 500 / 10.0f;
x1 = x;
y01 = y + height;
drawbranch(g, width, (int) x, 500 - (int) y, (int) x1, 500 - (int) y01);
turtle_r = height;
turtle_theta = point(x, y, x1, y01);
turtle_x = x;
turtle_y = y;
turn(left_angle);
generate(g, x1, y01, left_width_factor * width, left_height_factor * height, left_angle, level);
turtle_theta = point(x, y, x1, y01);
turn(-right_angle);
generate(g, x1, y01, width, left_height_factor * height, right_angle, level);
g.drawString("Fractal.java", 10, 10);
}
public double distanciaEuclidiana(int x1, int x2, int y1, int y2) {
double a, b, c;
a = Math.pow(x2 - x1, 2);
b = Math.pow(y2 - y1, 2);
c = Math.sqrt(a + b);
return (c);
}
public void mouseReleased(MouseEvent evt) {
Graphics g = canvas.getGraphics();
g.setColor(color);
g.setPaintMode();
end = evt.getPoint();
if (type == 0) {
g.drawRect(start.x, start.y, end.x - start.x, end.y - start.y);
if (filled.getState() == true) g.fillRect(start.x, start.y, end.x - start.x, end.y - start.y);
status.setText("2. Ecke des Rechtecks festgelegt");
} else if (type == 1) {
int radius;
radius = (int) Math.sqrt(Math.pow(end.x - start.x, 2) + Math.pow(end.y - start.y, 2));
g.drawOval(start.x - radius, start.y - radius, 2 * radius, 2 * radius);
if (filled.getState() == true)
g.fillOval(start.x - radius, start.y - radius, 2 * radius, 2 * radius);
status.setText("Radius des Kreises festgelegt");
} else if (type == 2) {
g.drawOval(start.x, start.y, end.x - start.x, end.y - start.y);
if (filled.getState() == true) g.fillOval(start.x, start.y, end.x - start.x, end.y - start.y);
status.setText("Radius der Ellipse festgelegt");
}
}
/**
* 2. For every point (x, y) calculate differences between the not overlapping neighborhoods on
* opposite sides of the point in horizontal direction.
*
* @param x
* @param y
* @return
*/
public double differencesBetweenNeighborhoodsHorizontal(int x, int y, int k) {
double result = 0;
result =
Math.abs(
this.averageOverNeighborhoods(x + (int) Math.pow(2, k - 1), y, k)
- this.averageOverNeighborhoods(x - (int) Math.pow(2, k - 1), y, k));
return result;
}
/**
* 2. For every point (x, y) calculate differences between the not overlapping neighborhoods on
* opposite sides of the point in vertical direction.
*
* @param x
* @param y
* @return
*/
public double differencesBetweenNeighborhoodsVertical(int x, int y, int k) {
double result = 0;
result =
Math.abs(
this.averageOverNeighborhoods(x, y + (int) Math.pow(2, k - 1), k)
- this.averageOverNeighborhoods(x, y - (int) Math.pow(2, k - 1), k));
return result;
}
/**
* Find the distance between two characters
*
* @param Targ Target character
* @return distance
*/
public double Dist(GameObject Targ) {
// find x squared and y squared
double dx =
Math.pow(((X + W / 2 * GROWTHFACTOR) - (Targ.X + Targ.W / 2 * Targ.GROWTHFACTOR)), 2);
double dy =
Math.pow(((Y + H / 2 * GROWTHFACTOR) - (Targ.Y + Targ.H / 2 * Targ.GROWTHFACTOR)), 2);
// find distance
return (Math.sqrt(dx + dy));
}
/*
* Given a number, round up to the nearest power of ten times 1, 2, or 5.
*
* Note: The argument must be strictly positive.
*/
private static double roundUp(double val) {
int exponent = (int) Math.floor(log10(val));
val *= Math.pow(10, -exponent);
if (val > 5.0) val = 10.0;
else if (val > 2.0) val = 5.0;
else if (val > 1.0) val = 2.0;
val *= Math.pow(10, exponent);
return val;
}
public YIntervalSeries getYIntervalSeries(String rowname, long factor) {
YIntervalSeries mydataset = new YIntervalSeries(rowname);
double sdcount = 0;
double total = 0;
Vector<Double> totalvalues = new Vector<Double>();
double avgtotal = 0;
double minus = 0;
double plus = 0;
double zero = 0;
for (Integer key : ysum.keySet()) {
Double value = ysum.get(key) / (double) count.get(key);
Double point = (double) xsum.get(key) / (double) count.get(key);
Vector<Double> listofvalues = values.get(key);
double sumofdiff = 0.0;
for (Double onevalue : listofvalues) {
sumofdiff += Math.pow(onevalue - value, 2);
sdcount++;
total += Math.pow(onevalue, 2);
avgtotal += onevalue;
totalvalues.add(onevalue);
if (onevalue == 1) {
plus++;
}
;
if (onevalue == -1) {
minus++;
}
;
if (onevalue == 0) {
zero++;
}
;
}
double sd = Math.sqrt(sumofdiff / count.get(key));
// mydataset.add(point/factor, value,value+sd,value-sd);
// mydataset.add(point/factor, value,value,value);
mydataset.add(
point / factor,
value,
value + 1.96 * (sd / Math.sqrt(count.get(key))),
value - 1.96 * (sd / Math.sqrt(count.get(key))));
}
double sdtotal = 0;
double avgsd = total / sdcount;
double test = 0;
for (Double onevalue : totalvalues) {
sdtotal += Math.pow(Math.pow(onevalue, 2) - (total / sdcount), 2);
test += onevalue;
}
// System.out.println(rowname+" mean square: "+avgsd+"
// +/-95%:"+1.96*Math.sqrt(sdtotal/sdcount)/Math.sqrt(sdcount));
// System.out.println("total -1:"+minus+" total +1:"+plus+" zero: "+zero
// +" total:"+sdcount);
return mydataset;
}
/**
* Calculates a number of births on the basis of rates, using Poisson distributed num of events
*
* @param lambda rate
* @return the number of births
*/
int numberOfBirths(double lambda) {
double L = 0.0;
double U = gen.nextDouble();
double factB = 1.0;
for (int b = 0; b < 8; b++) {
if (b > 0) factB = factB * b;
L = L + Math.pow(lambda * tau, (double) b) * Math.pow(Math.E, -lambda * tau) / factB;
if (L >= U) return b;
}
return 8; // size of Moore neighbourhood
}
@Override
public boolean equals(Object obj) {
if (obj instanceof MyLine) {
MyLine otherLine = (MyLine) obj;
double length1 =
Math.pow(this.getEndX() - this.getStartX(), 2)
+ Math.pow(this.getEndY() - this.getStartY(), 2);
double length2 =
Math.pow(otherLine.getEndX() - otherLine.getStartX(), 2)
+ Math.pow(otherLine.getEndY() - otherLine.getStartY(), 2);
return length1 == length2;
}
return false;
}
// returns the endpoint which is closer to (x,y) than the other one
public Client getPointNear(int x, int y) {
if (start == null || end == null)
throw new RuntimeException("ERROR: getPointNear() not allowed on open links");
int distToStart = (int) Math.pow(start.getX() - x, 2) + (int) Math.pow(start.getY() - y, 2);
int distToEnd = (int) Math.pow(end.getX() - x, 2) + (int) Math.pow(end.getY() - y, 2);
if (distToStart < distToEnd) {
return start;
} else {
return end;
}
}
/**
* Picture Quality.
*
* @return
*/
public double contrast() {
double result = 0, my, sigma, my4 = 0, alpha4 = 0;
my = this.calculateMy();
sigma = this.calculateSigma(my);
for (int x = 0; x < this.imgWidth; x++) {
for (int y = 0; y < this.imgHeight; y++) {
my4 = my4 + Math.pow(this.grayScales[x][y] - my, 4);
}
}
alpha4 = my4 / (Math.pow(sigma, 4));
// fixed based on the patches of [email protected]
result = sigma / (Math.pow(alpha4, 0.25));
return result;
}
public void paintIcon(Component c, Graphics g, int x, int y) {
Color color = c == null ? Color.GRAY : c.getBackground();
// In a compound sort, make each succesive triangle 20%
// smaller than the previous one.
int dx = (int) (size / 2 * Math.pow(0.8, priority));
int dy = descending ? dx : -dx;
// Align icon (roughly) with font baseline.
y = y + 5 * size / 6 + (descending ? -dy : 0);
int shift = descending ? 1 : -1;
g.translate(x, y);
// Right diagonal.
g.setColor(color.darker());
g.drawLine(dx / 2, dy, 0, 0);
g.drawLine(dx / 2, dy + shift, 0, shift);
// Left diagonal.
g.setColor(color.brighter());
g.drawLine(dx / 2, dy, dx, 0);
g.drawLine(dx / 2, dy + shift, dx, shift);
// Horizontal line.
if (descending) {
g.setColor(color.darker().darker());
} else {
g.setColor(color.brighter().brighter());
}
g.drawLine(dx, 0, 0, 0);
g.setColor(color);
g.translate(-x, -y);
}
public double getDistance(double[] targetFeature, double[] queryFeature) {
double result = 0;
for (int i = 2; i < targetFeature.length; i++) {
result += Math.pow(targetFeature[i] - queryFeature[i], 2);
}
return result;
}
private double computeZoomIncrementToMakeExactlyNIncrements() {
double minZoomPercent = mImagePresentationModel.getMinZoom();
double maxZoomPercent = mImagePresentationModel.getMaxZoom();
double incrementsCount = mZoomSlider.getMaximum();
return Math.pow(maxZoomPercent / minZoomPercent, 1.0 / (incrementsCount - 1));
}
static {
int[] codes = new int[] {0, 128, 255};
colors = new Color[(int) Math.pow(codes.length, 3) - 2];
int index = 0;
for (int r : codes) {
for (int g : codes) {
for (int b : codes) {
if (r == 0 && g == 0 && b == 0) continue;
if (r == 255 && g == 255 && b == 255) continue;
colors[index] = new Color(r, g, b);
index++;
}
}
}
Arrays.sort(
colors,
new Comparator<Color>() {
public int compare(Color c1, Color c2) {
int diff = c1.getRed() - c2.getRed();
diff += c1.getGreen() - c2.getGreen();
diff += c1.getBlue() - c2.getBlue();
return diff;
}
});
reverse(colors);
}
private long normalizeMax(long l) {
int exp = (int) Math.log10((double) l);
long multiple = (long) Math.pow(10.0, exp);
int i = (int) (l / multiple);
l = (i + 1) * multiple;
return l;
}
public CompareSorts() {
for (int i = 0; i < 5; i++) {
double range = 10 * Math.pow(10, i);
for (int j = 0; j < range; j++) {
lists[i][j] = randgen.nextInt((int) range);
}
}
}
/*------------------------------------------------------------------*/
double getInitialCausalCoefficientMirrorOnBounds(double[] c, double z, double tolerance) {
double z1 = z, zn = Math.pow(z, c.length - 1);
double sum = c[0] + zn * c[c.length - 1];
int horizon = c.length;
if (0.0 < tolerance) {
horizon = 2 + (int) (Math.log(tolerance) / Math.log(Math.abs(z)));
horizon = (horizon < c.length) ? (horizon) : (c.length);
}
zn = zn * zn;
for (int n = 1; (n < (horizon - 1)); n++) {
zn = zn / z;
sum = sum + (z1 + zn) * c[n];
z1 = z1 * z;
}
return (sum / (1.0 - Math.pow(z, 2 * c.length - 2)));
} /* end getInitialCausalCoefficientMirrorOnBounds */
private static int getScrollAmount(Component c, MouseWheelEvent me, JScrollBar scrollBar) {
final int scrollBarWidth = scrollBar.getWidth();
final int ratio =
Registry.is("ide.smart.horizontal.scrolling") && scrollBarWidth > 0
? Math.max((int) Math.pow(c.getWidth() / scrollBarWidth, 2), 10)
: 10; // do annoying scrolling faster if smart scrolling is on
return me.getUnitsToScroll() * scrollBar.getUnitIncrement() * ratio;
}
public static String readableFileSize(long size) {
if (size <= 0) return "0";
final String[] units = new String[] {"B", "KB", "MB", "GB", "TB"};
int digitGroups = (int) (Math.log10(size) / Math.log10(1024));
return new DecimalFormat("#,##0.#").format(size / Math.pow(1024, digitGroups))
+ " "
+ units[digitGroups];
}
private Picture initialImage() {
pic2 = new Picture(500, 600);
pic1 = new Picture(500, 600);
for (int x = 0; x < pic2.width(); x++)
for (int y = 0; y < pic2.height(); y++) {
double dist = 1.0 - Math.sqrt((x - 300) * (x - 300) + (y - 200) * (y - 200)) / 500;
int red =
(int)
(dist < 0.5
? 0
: Math.min(Math.pow(dist, 0.4) + Math.pow(dist - 0.5, 0.1), 1.0) * 255);
int green = (int) (dist * 255);
int blue = 0;
pic2.set(x, y, new Color(red, green, blue));
}
return pic2;
}
/**
* 1. For every point(x, y) calculate the average over neighborhoods.
*
* @param x
* @param y
* @return
*/
public double averageOverNeighborhoods(int x, int y, int k) {
double result = 0, border;
border = Math.pow(2, 2 * k);
int x0 = 0, y0 = 0;
for (int i = 0; i < border; i++) {
for (int j = 0; j < border; j++) {
x0 = x - (int) Math.pow(2, k - 1) + i;
y0 = y - (int) Math.pow(2, k - 1) + j;
if (x0 < 0) x0 = 0;
if (y0 < 0) y0 = 0;
if (x0 >= imgWidth) x0 = imgWidth - 1;
if (y0 >= imgHeight) y0 = imgHeight - 1;
result = result + grayScales[x0][y0];
}
}
result = (1 / Math.pow(2, 2 * k)) * result;
return result;
}
/**
* Calculation of the separation length between tics. Some smart rounding algorithms are needed to
* get the scaling properly in case of data going to 10.3 or so... Useful stuff stolen from the
* Gnuplot sources, thank you guys!!
*/
public static double calculateTicSep(double min, double max, int maxNumberOfTicks) {
double xnorm, tic, posns;
double lrange = log10(Math.abs(min - max));
double fl = Math.floor(lrange);
xnorm = Math.pow(10.0, lrange - fl);
posns = maxNumberOfTicks / xnorm;
if (posns > 40) tic = 0.05; // eg 0, .05, .10, ...
else if (posns > 20) tic = 0.1; // eg 0, .1, .2, ...
else if (posns > 10) tic = 0.2; // eg 0,0.2,0.4,...
else if (posns > 4) tic = 0.5; // 0,0.5,1,
else if (posns > 1) tic = 1; // 0,1,2,....
else if (posns > 0.5) tic = 2; // 0, 2, 4, 6
else if (posns > 0.2) tic = 10; // 0, 10, 100, 6
else tic = Math.ceil(xnorm);
tic *= Math.pow(10.0, fl);
return tic;
}
public double coarseness(int n0, int n1) {
double result = 0;
for (int i = 1; i < n0 - 1; i++) {
for (int j = 1; j < n1 - 1; j++) {
result = result + Math.pow(2, this.sizeLeadDiffValue(i, j));
}
}
// fixed based on the patch by [email protected]
result = (1.0 / (n0 * n1)) * result;
return result;
}
/** @return */
public double calculateSigma(double mean) {
double result = 0;
for (int x = 0; x < this.imgWidth; x++) {
for (int y = 0; y < this.imgHeight; y++) {
result = result + Math.pow(this.grayScales[x][y] - mean, 2);
}
}
result = result / (this.imgWidth * this.imgHeight);
return Math.sqrt(result);
}
