@Override
public int compare(Object o1, Object o2) {
CharLongPair e1 = (CharLongPair) o1;
CharLongPair e2 = (CharLongPair) o2;
if (e1.getL() < e2.getL()) {
return -1;
}
if (e1.getL() == e2.getL()) {
return 0;
}
return 1; // Implies e1.l > e2.l
}
private CharLongPair(CharLongPair next) {
this(next.getC(), next.getL());
}
private void analyzeFile(File file) {
InputStream f = null;
try {
// Init the main set
charOccurrences = new TreeSet<CharLongPair>(new CharLongPairComparator());
f = new BufferedInputStream(new FileInputStream(file));
long totalLength = f.available();
/// Count the characters
char c;
for (int i = 0; i < totalLength; i++) {
c = (char) f.read();
if (c == -1) {
break;
}
Iterator<CharLongPair> it = charOccurrences.iterator();
while (it.hasNext()) {
CharLongPair cp = new CharLongPair(it.next());
if (cp.getC() == c) {
charOccurrences.remove(cp);
cp.setL(cp.getL() + 1);
charOccurrences.add(cp);
}
continue; // Don't create a new dataset
}
charOccurrences.add(new CharLongPair(c, 1));
}
/// Fill the table with the counts
// Get the number of rows to display
SpinnerNumberModel displayModel = (SpinnerNumberModel) displaySpinner.getModel();
int displayRows = displayModel.getNumber().intValue();
Iterator<CharLongPair> it = charOccurrences.iterator();
Vector tableData = new Vector();
for (; displayRows > 0; displayRows--) {
if (!it.hasNext()) {
break;
}
CharLongPair cp = it.next();
Vector rowData = new Vector();
rowData.add(cp.getC());
rowData.add(cp.getL());
rowData.add(100 * (cp.getL() / totalLength));
tableData.add(rowData);
}
Vector colNames = new Vector();
colNames.add("Character");
colNames.add("Count");
colNames.add("Percentage");
charPercentageTable.setModel(new DefaultTableModel(tableData, colNames));
} catch (FileNotFoundException ex) {
Logger.getLogger(StatisticalAnalysisFrame.class.getName()).log(Level.SEVERE, null, ex);
} catch (IOException ex) {
Logger.getLogger(StatisticalAnalysisFrame.class.getName()).log(Level.SEVERE, null, ex);
} finally {
try {
f.close();
} catch (IOException ex) {
Logger.getLogger(StatisticalAnalysisFrame.class.getName()).log(Level.SEVERE, null, ex);
}
}
}