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3 Commits
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4099ec2623 | ||
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7744586e79 | ||
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83eff0d1e7 |
@@ -634,7 +634,10 @@ a means of exploring some very beautiful math.
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## TODO
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* Update CLI option text in this readme to include Zipf distribution options
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* Consider whether a graph database might be a better option than keeping things in memory.
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* Look at fastUtil for more performant maps and arrays. Note that there is an optional jGraphT library to work with fastUtil (see FastutilMapIntVertexGraph, for example).
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* Consider implementing an option to use the jGrapht sparse graph representation for a lower memory cost with very large graphs (tens or hundreds of thousands of distinct sequences).
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* ~~Update CLI option text in this readme to include Zipf distribution options~~
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* ~~Try invoking GC at end of workloads to reduce paging to disk~~ DONE
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* ~~Hold graph data in memory until another graph is read-in? ABANDONED UNABANDONED~~ DONE
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* ~~*No, this won't work, because BiGpairSEQ simulations alter the underlying graph based on filtering constraints. Changes would cascade with multiple experiments.*~~
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@@ -1,3 +1,4 @@
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import org.jgrapht.Graphs;
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import org.jgrapht.alg.interfaces.MatchingAlgorithm;
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import org.jgrapht.alg.matching.MaximumWeightBipartiteMatching;
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import org.jgrapht.graph.DefaultWeightedEdge;
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@@ -147,20 +148,22 @@ public class Simulator implements GraphModificationFunctions {
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vertexLabelValue++;
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}
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betaVertices.forEach(graph::addVertex);
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//add edges
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//add edges (best so far)
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int edgesAddedCount = 0;
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for(Vertex a: alphaVertices) {
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Set<Integer> a_wells = a.getRecord().getWells();
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for(Vertex b: betaVertices) {
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Set<Integer> sharedWells = new HashSet<>(a.getRecord().getWells());
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Set<Integer> sharedWells = new HashSet<>(a_wells);
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sharedWells.retainAll(b.getRecord().getWells());
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double weight = (double) sharedWells.size();
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if (weight != 0.0) {
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System.out.println("Edge weight: " + weight);
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DefaultWeightedEdge edge = graph.addEdge(a, b);
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graph.setEdgeWeight(edge, weight);
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if (!sharedWells.isEmpty()) {
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Graphs.addEdge(graph, a, b, (double) sharedWells.size());
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}
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else {
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System.out.println("No overlap");
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edgesAddedCount++;
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if (edgesAddedCount % 10000000 == 0) { //collect garbage every 10,000,000 edges
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System.out.println(edgesAddedCount + " edges added");
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//request garbage collection
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System.gc();
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System.out.println("Garbage collection requested");
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}
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}
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}
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