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package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.graph.GraphStatistic;
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.Metric;
import com.google.common.collect.Multimap;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.eclipse.emf.ecore.EObject;
import org.eclipse.xtext.xbase.lib.CollectionLiterals;
import org.eclipse.xtext.xbase.lib.Conversions;
@SuppressWarnings("all")
public class TypedOutDegree extends Metric {
private HashMap<String, List<Integer>> calculateMetric(final GraphStatistic g) {
HashMap<String, Multimap<EObject, EObject>> outgoingEdges = g.getOutgoingEdges();
HashMap<String, List<Integer>> metric = new HashMap<String, List<Integer>>();
Map<EObject, Set<String>> nodeToTypes = g.getNodeToTypesMap();
Set<String> _keySet = outgoingEdges.keySet();
for (final String edgeType : _keySet) {
Set<EObject> _keySet_1 = outgoingEdges.get(edgeType).keySet();
for (final EObject node : _keySet_1) {
{
Set<String> classes = nodeToTypes.get(node);
for (final String cl : classes) {
{
String key = ((cl + " ") + edgeType);
List<Integer> typeCount = metric.get(key);
if ((typeCount == null)) {
ArrayList<Integer> _arrayList = new ArrayList<Integer>();
typeCount = _arrayList;
metric.put(key, typeCount);
}
typeCount.add(Integer.valueOf(outgoingEdges.get(edgeType).get(node).size()));
}
}
}
}
}
return metric;
}
@Override
public String[][] evaluate(final GraphStatistic g) {
HashMap<String, List<Integer>> metric = this.calculateMetric(g);
ArrayList<String[]> output = new ArrayList<String[]>();
output.add(((String[])Conversions.unwrapArray(CollectionLiterals.<String>newArrayList("Typed Out Degree"), String.class)));
Set<String> _keySet = metric.keySet();
for (final String key : _keySet) {
{
List<Integer> samples = metric.get(key);
int _size = samples.size();
int _plus = (_size + 1);
String[] outputForOnePair = new String[_plus];
outputForOnePair[0] = key;
for (int i = 0; (i < samples.size()); i++) {
Integer _get = samples.get(i);
String _plus_1 = (_get + "");
outputForOnePair[(i + 1)] = _plus_1;
}
output.add(outputForOnePair);
}
}
return ((String[][])Conversions.unwrapArray(output, String[].class));
}
@Override
public Object evaluateSamples(final GraphStatistic g) {
return this.calculateMetric(g);
}
}
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