public void draw() {
if (_pointLists.size() <= 0) return;
pushStyle();
noFill();
PVector vec;
PVector firstVec;
PVector screenPos = new PVector();
int colorIndex = 0;
// draw the hand lists
Iterator<Map.Entry> itrList = _pointLists.entrySet().iterator();
while (itrList.hasNext()) {
strokeWeight(2);
stroke(_colorList[colorIndex % (_colorList.length - 1)]);
ArrayList curList = (ArrayList) itrList.next().getValue();
// draw line
firstVec = null;
Iterator<PVector> itr = curList.iterator();
beginShape();
while (itr.hasNext()) {
vec = itr.next();
if (firstVec == null) firstVec = vec;
// calc the screen pos
context.convertRealWorldToProjective(vec, screenPos);
vertex(screenPos.x, screenPos.y);
}
endShape();
// draw current pos of the hand
if (firstVec != null) {
strokeWeight(8);
context.convertRealWorldToProjective(firstVec, screenPos);
point(screenPos.x, screenPos.y);
}
colorIndex++;
}
popStyle();
}
// this method basically will chop up the blocks and get their frequencies
private static void getBlockFrequency() throws Exception {
directory = "../../thesis-datasets/morph_file_100MB/";
ReadFile.readFile(directory, fileList); // read the two files
HashMap<Integer, Integer> blockFreq =
new HashMap<Integer, Integer>(); // this stores the block in the map along there frequencies
int start = 0; // start of the sliding window
int end = start + window - 1; // ending boundary
preliminaryStep(directory);
// System.out.println("Choping the document TDDD " + fileList.get(0));
long[] divisorArray = {
1000
}; // run the frequency code for these divisor values (AKA expected block Size)
for (long i : divisorArray) {
long divisor1 = i;
long divisor2 = i / 2;
long divisor3 = i / 4;
long remainder = 7;
long minBoundary = min_multiplier * i;
long maxBoundary = max_multiplier * i;
// System.out.println("Running Likelihood for " + i + " " + divisor2 + " " + divisor3);
int totalBlocks =
chopDocument(
fileArray.get(0),
hashed_File_List.get(0),
divisor1,
divisor2,
divisor3,
remainder,
minBoundary,
maxBoundary,
blockFreq);
// now output the block sizes, along with there frequencies and probilities
for (Map.Entry<Integer, Integer> tuple : blockFreq.entrySet()) {
// output the block freq
double prob = (double) tuple.getValue() / (double) totalBlocks;
System.out.println(tuple.getKey() + " " + tuple.getValue() + " " + prob);
}
blockFreq.clear();
}
}
