1 files changed, 74 insertions, 0 deletions

diff --git a/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/xtend-gen/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/metrics/TypedClusteringCoefficientMetric.java b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/xtend-gen/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/metrics/TypedClusteringCoefficientMetric.java
new file mode 100644
index 00000000..042af5c3
--- /dev/null
+++ b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/xtend-gen/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/metrics/TypedClusteringCoefficientMetric.java
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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.base.Objects;
+import java.text.DecimalFormat;
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.HashSet;
+import java.util.List;
+import java.util.function.Consumer;
+import org.eclipse.emf.ecore.EObject;
+
+@SuppressWarnings("all")
+public class TypedClusteringCoefficientMetric extends Metric {
+  public final static String countName = "TCCCount";
+  
+  public final static String valueName = "TCCValue";
+  
+  private final DecimalFormat formatter = new DecimalFormat("#0.00000");
+  
+  @Override
+  public String[][] evaluate(final GraphStatistic g) {
+    throw new Error("Unresolved compilation problems:"
+      + "\nInvalid number of arguments. The method newArrayOfSize(int) is not applicable for the arguments (int,int)");
+  }
+  
+  @Override
+  public Object evaluateSamples(final GraphStatistic g) {
+    final ArrayList<Double> samples = new ArrayList<Double>();
+    final Consumer<EObject> _function = (EObject it) -> {
+      samples.add(Double.valueOf(this.calculateTCC1(it, g)));
+    };
+    g.getAllNodes().forEach(_function);
+    return samples;
+  }
+  
+  /**
+   * Compute TCC1 metric for node n
+   */
+  public double calculateTCC1(final EObject n, final GraphStatistic g) {
+    int wedges = 0;
+    int triangles = 0;
+    List<String> _allTypes = g.getAllTypes();
+    for (final String type1 : _allTypes) {
+      {
+        Collection<EObject> _get = g.getOutgoingEdges().get(type1).get(n);
+        final HashSet<EObject> typed1RelatedOfN = new HashSet<EObject>(_get);
+        Collection<EObject> _get_1 = g.incomingEdges().get(type1).get(n);
+        final HashSet<EObject> type1EdgeSourceNodesOfN = new HashSet<EObject>(_get_1);
+        typed1RelatedOfN.addAll(type1EdgeSourceNodesOfN);
+        final int d = typed1RelatedOfN.size();
+        int _wedges = wedges;
+        wedges = (_wedges + (d * (d - 1)));
+        for (final EObject n1 : typed1RelatedOfN) {
+          for (final EObject n2 : typed1RelatedOfN) {
+            List<String> _allTypes_1 = g.getAllTypes();
+            for (final String type2 : _allTypes_1) {
+              if (((!Objects.equal(type1, type2)) && (g.getOutgoingEdges().get(type2).containsEntry(n1, n2) || 
+                g.getOutgoingEdges().get(type2).containsEntry(n2, n1)))) {
+                triangles++;
+              }
+            }
+          }
+        }
+      }
+    }
+    if ((wedges == 0.0)) {
+      return 0.0;
+    } else {
+      return (((double) triangles) / wedges);
+    }
+  }
+}