1 files changed, 96 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/graph/Graph.java b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/xtend-gen/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/graph/Graph.java
new file mode 100644
index 00000000..f9923a63
--- /dev/null
+++ b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/xtend-gen/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/graph/Graph.java
@@ -0,0 +1,96 @@
+package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.graph;
+
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.graph.GraphStatistic;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.EdgeTypeMetric;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.Metric;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.MetricSampleGroup;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.MultiplexParticipationCoefficientMetric;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.NodeActivityMetric;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.NodeTypeMetric;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.OutDegreeMetric;
+import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics.TypedOutDegree;
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.HashMap;
+import java.util.List;
+import org.eclipse.xtext.xbase.lib.Conversions;
+
+@SuppressWarnings("all")
+public abstract class Graph {
+  protected final static String META_MODEL_HEADER = "Meta Mode";
+  
+  protected final static String NUM_NODE_HEADER = "Number Of Nodes";
+  
+  protected final static String NUM_EDGE_TYPE_HEADER = "Number of Edge types";
+  
+  protected final static String STATE_ID_HEADER = "State Id";
+  
+  protected final GraphStatistic statistic = new GraphStatistic();
+  
+  protected List<Metric> metrics;
+  
+  protected String name = "";
+  
+  protected String metaModel = "";
+  
+  /**
+   * evaluate all metrics for this model
+   * return the result as a two dimentional list
+   */
+  public ArrayList<ArrayList<String>> evaluateAllMetrics() {
+    final ArrayList<ArrayList<String>> result = new ArrayList<ArrayList<String>>();
+    this.setBasicInformation(result);
+    for (final Metric metric : this.metrics) {
+      {
+        final String[][] datas = metric.evaluate(this.statistic);
+        for (final String[] row : datas) {
+          ArrayList<String> _arrayList = new ArrayList<String>((Collection<? extends String>)Conversions.doWrapArray(row));
+          result.add(_arrayList);
+        }
+      }
+    }
+    return result;
+  }
+  
+  public MetricSampleGroup evaluateAllMetricsToSamples() {
+    MetricSampleGroup sample = new MetricSampleGroup();
+    for (final Metric metric : this.metrics) {
+      if ((metric instanceof MultiplexParticipationCoefficientMetric)) {
+        Object _evaluateSamples = ((MultiplexParticipationCoefficientMetric)metric).evaluateSamples(this.statistic);
+        sample.mpcSamples = ((ArrayList<Double>) _evaluateSamples);
+      } else {
+        if ((metric instanceof NodeActivityMetric)) {
+          Object _evaluateSamples_1 = ((NodeActivityMetric)metric).evaluateSamples(this.statistic);
+          sample.naSamples = ((ArrayList<Double>) _evaluateSamples_1);
+        } else {
+          if ((metric instanceof OutDegreeMetric)) {
+            Object _evaluateSamples_2 = ((OutDegreeMetric)metric).evaluateSamples(this.statistic);
+            sample.outDegreeSamples = ((ArrayList<Double>) _evaluateSamples_2);
+          } else {
+            if ((metric instanceof TypedOutDegree)) {
+              Object _evaluateSamples_3 = ((TypedOutDegree)metric).evaluateSamples(this.statistic);
+              sample.typedOutDegreeSamples = ((HashMap<String, List<Integer>>) _evaluateSamples_3);
+            } else {
+              if ((metric instanceof NodeTypeMetric)) {
+                Object _evaluateSamples_4 = ((NodeTypeMetric)metric).evaluateSamples(this.statistic);
+                sample.nodeTypeSamples = ((HashMap<String, Double>) _evaluateSamples_4);
+              } else {
+                if ((metric instanceof EdgeTypeMetric)) {
+                  Object _evaluateSamples_5 = ((EdgeTypeMetric)metric).evaluateSamples(this.statistic);
+                  sample.edgeTypeSamples = ((HashMap<String, Double>) _evaluateSamples_5);
+                }
+              }
+            }
+          }
+        }
+      }
+    }
+    return sample;
+  }
+  
+  public abstract void setBasicInformation(final ArrayList<ArrayList<String>> result);
+  
+  public abstract GraphStatistic getStatistic();
+  
+  public abstract String getName();
+}