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package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.metrics
import ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.graph.GraphStatistic
import java.util.HashMap
class NodeActivityMetric extends Metric {
static val countName = "NACount";
static val valueName = "NAValue";
override evaluate(GraphStatistic g) {
val map = new HashMap<Integer, Integer>();
//calculate the metric distribution
g.allNodes.forEach[
val value = g.numOfEdgeTypes(it);
if(!map.containsKey(value)){
map.put(value, 1);
}else{
map.put(value, map.get(value) + 1);
}
]
//convert it into a 2 dimentional array
val String[][] datas = newArrayOfSize(2, map.size+1);
datas.get(0).set(0, valueName);
datas.get(1).set(0, countName)
var count = 1;
for(entry : map.entrySet.sortBy[it.key]){
datas.get(0).set(count, entry.key+"");
datas.get(1).set(count, entry.value+"");
count++;
}
return datas;
}
}
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