public String renderCSVTable(int query, boolean ascending) {
final String COL_SEP = "\t";
final String LINE_SEP = ";\n";
Map<Integer, Map<SimilarityValue, Double>> simiDevelopment =
m_algorithm.getSimiDevelopment(query, false);
StringBuilder sb = new StringBuilder();
// table head
sb.append("i");
List<SimilarityValue> sorted =
getSortedAnswers(simiDevelopment.get(simiDevelopment.size() - 1), ascending);
for (SimilarityValue v : sorted) {
sb.append(COL_SEP + getShortForm(v));
}
sb.append(LINE_SEP);
// table body
for (Integer i : simiDevelopment.keySet()) {
sb.append(i);
for (SimilarityValue v : sorted) {
sb.append(
COL_SEP
+ EasyMath.round(
simiDevelopment.get(i).get(v),
(Integer)
m_specification
.getParameters()
.getValue(GeneralParameters.DECIMAL_ACCURACY)));
}
sb.append(LINE_SEP);
}
return sb.toString();
}
public String renderInstanceList(
final Map<OWLNamedIndividual, Double> instances, boolean ascending) {
List<OWLNamedIndividual> sorted = getSortedAnswers(instances, ascending);
StringBuilder sb = new StringBuilder();
sb.append(sorted.size() + " answers");
if (m_specification.isTopK() && m_specification.getThreshold() < sorted.size())
sb.append(
" (additional results with the same similarity as answer "
+ (int) m_specification.getThreshold()
+ " are included)");
sb.append(":\n");
for (OWLNamedIndividual ind : sorted) {
sb.append(
ind.toString()
+ "\t"
+ "similarity: "
+ EasyMath.round(
instances.get(ind),
(Integer)
m_specification.getParameters().getValue(GeneralParameters.DECIMAL_ACCURACY))
+ "\n");
}
return sb.toString();
}
public String renderASCIITable(int query, boolean ascending) {
Map<Integer, Map<SimilarityValue, Double>> simiDevelopment =
m_algorithm.getSimiDevelopment(query, false);
if (simiDevelopment.keySet().size() == 0) return "";
StringBuilder sb = new StringBuilder();
int preLength = (simiDevelopment.keySet().size() + "").length();
for (int i = 0; i < preLength - 1; i++) {
sb.append(" ");
}
sb.append("i");
List<SimilarityValue> sorted =
getSortedAnswers(simiDevelopment.get(simiDevelopment.size() - 1), ascending);
// determine maximal width of any element per column
Map<SimilarityValue, Integer> widths = new HashMap<SimilarityValue, Integer>();
// init with table head
for (SimilarityValue v : sorted) {
widths.put(v, getShortForm(v).length());
}
for (Integer i : simiDevelopment.keySet()) {
for (SimilarityValue v : sorted) {
double value = simiDevelopment.get(i).get(v);
value =
EasyMath.round(
value,
(Integer)
m_specification.getParameters().getValue(GeneralParameters.DECIMAL_ACCURACY));
widths.put(v, Math.max((value + "").length(), widths.get(v)));
}
}
int totalWidth = preLength;
for (SimilarityValue v : sorted) {
totalWidth += 1 + widths.get(v); // +1 for spacing
}
// continue table-head
for (SimilarityValue v : sorted) {
int curElemLength = getShortForm(v).length();
for (int i = 0; i <= widths.get(v) - curElemLength; i++) {
sb.append(" ");
}
sb.append(getShortForm(v));
}
sb.append("\n");
for (int i = 0; i < totalWidth; i++) {
sb.append("-");
}
sb.append("\n");
for (int i = 0; i < simiDevelopment.keySet().size(); i++) {
for (int j = 0; j < preLength - ("" + i).length(); j++) {
sb.append(" ");
}
sb.append(i);
for (SimilarityValue v : sorted) {
Double d =
EasyMath.round(
simiDevelopment.get(i).get(v),
(Integer)
m_specification.getParameters().getValue(GeneralParameters.DECIMAL_ACCURACY));
for (int j = 0; j <= widths.get(v) - ("" + d).length(); j++) {
sb.append(" ");
}
sb.append(d);
}
sb.append("\n");
}
return sb.toString();
}