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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 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 NodeTypeMetric extends Metric {
@Override
public String[][] evaluate(final GraphStatistic g) {
Object _evaluateSamples = this.evaluateSamples(g);
HashMap<String, Double> map = ((HashMap<String, Double>) _evaluateSamples);
ArrayList<String[]> output = new ArrayList<String[]>();
output.add(((String[])Conversions.unwrapArray(CollectionLiterals.<String>newArrayList("Node Type"), String.class)));
Set<String> keys = map.keySet();
ArrayList<String> values = CollectionLiterals.<String>newArrayList();
for (final String key : keys) {
Double _get = map.get(key);
String _plus = (_get + "");
values.add(_plus);
}
final Set<String> _converted_keys = (Set<String>)keys;
output.add(((String[])Conversions.unwrapArray(_converted_keys, String.class)));
final ArrayList<String> _converted_values = (ArrayList<String>)values;
output.add(((String[])Conversions.unwrapArray(_converted_values, String.class)));
return ((String[][])Conversions.unwrapArray(output, String[].class));
}
@Override
public Object evaluateSamples(final GraphStatistic g) {
HashMap<String, Double> map = new HashMap<String, Double>();
List<EObject> nodes = g.getAllNodes();
int _size = nodes.size();
double single = (1.0 / _size);
Map<EObject, Set<String>> nodeToType = g.getNodeToTypesMap();
for (final EObject node : nodes) {
Set<String> _get = nodeToType.get(node);
for (final String cl : _get) {
{
Double value = map.getOrDefault(cl, Double.valueOf(0.0));
map.put(cl, Double.valueOf(((value).doubleValue() + single)));
}
}
}
return map;
}
}
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