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import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.IOException;
import java.lang.reflect.Method;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.*;
import java.util.function.Consumer;
/**
* LRMCseedsProteins_streamsafe.java
*
* Memory-lean-ish seeds exporter for Reddit. It will try to call a STREAMING
* reconstruction entry point:
*
* public static void runLaplacianRMCStreaming(List<Integer>[] adj1Based,
* java.util.function.Consumer<SnapshotDTO> sink)
*
* If not found, it falls back to the old runLaplacianRMC(adj1Based) and will
* materialize all snapshots (may OOM on Reddit). The idea is you can add the
* streaming method later without changing this file again.
*
* Usage:
* java -Xmx8g -Xms4g LRMCseedsProteins_streamsafe \
* reddit_edges.txt seeds_reddit.json [DIAM|INV_SQRT_LAMBDA2] [epsilon]
*/
public class LRMCseedsProteins_streamsafe2 {
public static boolean USE_CORA = false;
public static void main(String[] args) throws Exception {
if (args.length < 2) {
System.err.println("Usage: java LRMCseedsProteins_streamsafe2 <reddit_edges.txt> <output_seeds_json> [alpha_kind] [epsilon]");
return;
}
final Path outSeeds;
final AlphaKind alphaKind;
final double eps;
GraphData G;
if (!USE_CORA) {
final Path edgesPath = Paths.get(args[0]);
final Path outPath = Paths.get(args[1]);
alphaKind = (args.length >= 3 ? parseAlpha(args[2]) : AlphaKind.DIAM);
eps = (args.length >= 4 ? Double.parseDouble(args[3]) : 1e-6);
if (java.nio.file.Files.isDirectory(edgesPath)) {
java.nio.file.Files.createDirectories(outPath);
try (java.util.stream.Stream<Path> stream = java.nio.file.Files.list(edgesPath)) {
stream.filter(java.nio.file.Files::isRegularFile)
.filter(p -> {
String s = p.getFileName().toString().toLowerCase(java.util.Locale.ROOT);
return s.endsWith(".txt") || s.endsWith(".csv");
})
.forEach(p -> {
try {
GraphData Gi = loadRedditEdgeList(p);
String base = p.getFileName().toString().replaceFirst("\\.(txt|csv)$", "");
Path outFile = outPath.resolve(base + ".json");
runOnce(Gi, outFile, alphaKind, eps);
} catch (Exception e) {
throw new RuntimeException("Failed on " + p, e);
}
});
}
return;
} else {
G = loadRedditEdgeList(edgesPath);
System.out.printf(Locale.US, "# Loaded edge list: n=%d, m=%d%n", G.n, G.m);
runOnce(G, outPath, alphaKind, eps);
return;
}
} else {
final Path content = Paths.get(args[0]);
final Path cites = Paths.get(args[1]);
outSeeds = Paths.get(args[2]);
alphaKind = (args.length >= 4 ? parseAlpha(args[3]) : AlphaKind.DIAM);
eps = (args.length >= 5 ? Double.parseDouble(args[4]) : 1e-6);
G = loadCora(content, cites);
System.out.printf(Locale.US, "# Loaded Cora edge list: n=%d, m=%d%n", G.n, G.m);
}
PeakTracker tracker = new PeakTracker(G, eps, alphaKind);
System.out.println("# Found streaming entry point. Running streaming reconstruction...");
clique2_ablations_parallel2.runLaplacianRMCStreaming(G.adj1Based, tracker);
tracker.writeJson(outSeeds);
System.out.println("# Done. wrote " + outSeeds.toAbsolutePath());
}
static void runOnce(GraphData G, Path outSeeds, AlphaKind alphaKind, double eps) throws Exception {
PeakTracker tracker = new PeakTracker(G, eps, alphaKind);
try {
System.out.println("# Running streaming reconstruction...");
clique2_ablations_parallel2.runLaplacianRMCStreaming(G.adj1Based, tracker);
} catch (Throwable t) {
System.err.println("# Streaming entry point failed, attempting fallback: " + t);
// Fallback to non-streaming if available
try {
Method m = clique2_ablations_parallel2.class.getDeclaredMethod("runLaplacianRMCCore", List[].class, Consumer.class);
m.invoke(null, G.adj1Based, tracker);
} catch (Throwable t2) {
throw new RuntimeException("No available reconstruction entry point", t2);
}
}
tracker.writeJson(outSeeds);
System.out.println("# Done. wrote " + outSeeds.toAbsolutePath());
}
// Streaming peak tracker
static final class PeakTracker implements Consumer<clique2_ablations_parallel2.SnapshotDTO> {
final GraphData G;
final double epsilon;
final AlphaKind alphaKind;
final boolean[] inC;
final Map<Integer, Integer> bestIdxByComp = new LinkedHashMap<>();
final Map<Integer, Double> bestScoreByComp = new HashMap<>();
final List<Rec> arrivals = new ArrayList<>();
int idx = 0;
static final class Rec {
final int compId;
final int sid;
final double score;
final int[] nodes;
Rec(int compId, int sid, double score, int[] nodes) {
this.compId = compId; this.sid = sid; this.score = score; this.nodes = nodes;
}
}
PeakTracker(GraphData G, double epsilon, AlphaKind alphaKind) {
this.G = G; this.epsilon = epsilon; this.alphaKind = alphaKind;
this.inC = new boolean[G.n];
}
@Override
public void accept(clique2_ablations_parallel2.SnapshotDTO s) {
final int[] nodes = s.nodes;
final int k = nodes.length;
if (k == 0) return;
for (int u : nodes) inC[u] = true;
final double dbar = s.sumDegIn / Math.max(1.0, k);
final double Q = s.Q;
// final double alpha = (alphaKind == AlphaKind.DIAM)
// ? approxDiameter(nodes, G.adj1Based, inC)
// : 1.0; // simple fallback for lambda2
final double sc = k / (Q + epsilon);
// final int compId = getSnapshotComponentId(s, nodes);
final int compId = s.componentId;
final int sid = idx++;
if (!bestIdxByComp.containsKey(compId) || sc > bestScoreByComp.get(compId)) {
bestIdxByComp.put(compId, sid);
bestScoreByComp.put(compId, sc);
}
arrivals.add(new Rec(compId, sid, sc, Arrays.copyOf(nodes, nodes.length)));
for (int u : nodes) inC[u] = false;
}
void writeJson(Path outJson) throws IOException {
final int n = G.n;
boolean[] covered = new boolean[n];
int coveredCount = 0;
try (BufferedWriter w = Files.newBufferedWriter(outJson, StandardCharsets.UTF_8)) {
w.write("{\n");
w.write("\"meta\":{");
w.write("\"epsilon\":" + epsilon);
w.write(",\"alpha_kind\":\"" + (alphaKind == AlphaKind.DIAM ? "DIAM" : "INV_SQRT_LAMBDA2") + "\"");
w.write(",\"n\":" + G.n);
w.write(",\"m\":" + G.m);
w.write(",\"mode\":\"peaks_per_component+singletons(stream-or-fallback)\"");
w.write("},\n");
w.write("\"clusters\":[\n");
boolean first = true;
int nextClusterId = 0;
for (Rec r : arrivals) {
Integer best = bestIdxByComp.get(r.compId);
if (best != null && best == r.sid) {
if (!first) w.write(",\n");
first = false;
w.write(" {\"cluster_id\":" + (nextClusterId++));
w.write(",\"component_id\":" + r.compId);
w.write(",\"snapshot_id\":" + r.sid);
w.write(",\"score\":" + r.score);
w.write(",\"k_seed\":" + r.nodes.length);
w.write(",\"members\":" + intArrayToJson(r.nodes));
w.write(",\"seed_nodes\":" + intArrayToJson(r.nodes));
w.write("}");
for (int u : r.nodes) if (!covered[u]) { covered[u] = true; coveredCount++; }
}
}
for (int u = 0; u < n; u++) {
if (!covered[u]) {
if (!first) w.write(",\n");
first = false;
int[] singleton = new int[]{u};
w.write(" {\"cluster_id\":" + (nextClusterId++));
w.write(",\"component_id\":-1");
w.write(",\"snapshot_id\":-1");
w.write(",\"score\":0.0");
w.write(",\"k_seed\":1");
w.write(",\"members\":" + intArrayToJson(singleton));
w.write(",\"seed_nodes\":" + intArrayToJson(singleton));
w.write(",\"is_singleton\":true");
w.write("}");
}
}
w.write("\n]}");
}
}
}
// Load Reddit from edge list (preallocated)
static GraphData loadRedditEdgeList(Path edgesFile) throws IOException {
int[] deg = new int[1 << 16];
int maxNode = -1;
long mUndir = 0;
try (BufferedReader br = Files.newBufferedReader(edgesFile, StandardCharsets.UTF_8)) {
String s;
while ((s = br.readLine()) != null) {
s = s.trim();
if (s.isEmpty() || s.startsWith("#")) continue;
String[] tok = s.split("\\s+|,");
if (tok.length < 2) continue;
int u = Integer.parseInt(tok[0]);
int v = Integer.parseInt(tok[1]);
if (u == v) continue;
int needed = Math.max(u, v) + 1;
if (needed > deg.length) {
int newLen = deg.length;
while (newLen < needed) newLen <<= 1;
deg = Arrays.copyOf(deg, newLen);
}
deg[u]++; deg[v]++;
if (u < v) mUndir++;
if (u > maxNode) maxNode = u;
if (v > maxNode) maxNode = v;
}
}
final int n = maxNode + 1;
@SuppressWarnings("unchecked")
List<Integer>[] adj1 = (List<Integer>[]) new List<?>[n + 1];
for (int i = 1; i <= n; i++) adj1[i] = new ArrayList<>(deg[i - 1]);
try (BufferedReader br = Files.newBufferedReader(edgesFile, StandardCharsets.UTF_8)) {
String s;
while ((s = br.readLine()) != null) {
s = s.trim();
if (s.isEmpty() || s.startsWith("#")) continue;
String[] tok = s.split("\\s+|,");
if (tok.length < 2) continue;
int u = Integer.parseInt(tok[0]);
int v = Integer.parseInt(tok[1]);
if (u == v) continue;
adj1[u + 1].add(v + 1);
adj1[v + 1].add(u + 1);
}
}
GraphData G = new GraphData();
G.n = n; G.m = mUndir; G.adj1Based = adj1;
G.labels = new int[n]; Arrays.fill(G.labels, -1);
G.labelNames = new String[0];
return G;
}
static GraphData loadCora(Path content, Path cites) throws IOException {
Map<String, Integer> id2idx = new LinkedHashMap<>();
Map<String, Integer> lbl2idx = new LinkedHashMap<>();
List<String> lblNames = new ArrayList<>();
List<Integer> labelsList = new ArrayList<>();
// Pass 1: content defines node universe and labels
try (BufferedReader br = Files.newBufferedReader(content, StandardCharsets.UTF_8)) {
String s;
while ((s = br.readLine()) != null) {
s = s.trim();
if (s.isEmpty()) continue;
String[] tok = s.split("\\s+");
String id = tok[0];
String lab = tok[tok.length - 1];
int u = id2idx.computeIfAbsent(id, _k -> id2idx.size());
int c = lbl2idx.computeIfAbsent(lab, _k -> {
lblNames.add(lab);
return lblNames.size() - 1;
});
// Extend labels list to position u if needed
while (labelsList.size() <= u) labelsList.add(0);
labelsList.set(u, c);
}
}
int n = id2idx.size();
int[] labels = new int[n];
for (int i = 0; i < n; i++) labels[i] = labelsList.get(i);
// Temp adjacency as sets to dedup
@SuppressWarnings("unchecked")
HashSet<Integer>[] adjSet1 = new HashSet[n + 1];
for (int i = 1; i <= n; i++) adjSet1[i] = new HashSet<>();
// Pass 2: cites edges
long mUndir = 0;
try (BufferedReader br = Files.newBufferedReader(cites, StandardCharsets.UTF_8)) {
String s;
while ((s = br.readLine()) != null) {
s = s.trim();
if (s.isEmpty() || s.startsWith("#")) continue;
String[] tok = s.split("\\s+|,");
if (tok.length < 2) continue;
Integer ui = id2idx.get(tok[0]);
Integer vi = id2idx.get(tok[1]);
if (ui == null || vi == null) continue; // skip unknown ids
int a = ui + 1, b = vi + 1; // to 1-based
if (a == b) continue;
if (adjSet1[a].add(b)) {
adjSet1[b].add(a);
mUndir++;
}
}
}
@SuppressWarnings("unchecked")
List<Integer>[] adj1 = new ArrayList[n + 1];
for (int i = 1; i <= n; i++) {
adj1[i] = new ArrayList<>(adjSet1[i]);
}
GraphData G = new GraphData();
G.n = n;
G.m = mUndir;
G.adj1Based = adj1;
G.labels = labels;
G.labelNames = lblNames.toArray(new String[0]);
return G;
}
// Helpers
static double approxDiameter(int[] nodes, List<Integer>[] adj1, boolean[] inC) {
if (nodes.length <= 1) return 0.0;
int start = nodes[0];
BFSResult a = bfsFarthest(start, adj1, inC);
BFSResult b = bfsFarthest(a.node, adj1, inC);
return (double) b.dist;
}
static BFSResult bfsFarthest(int src, List<Integer>[] adj1, boolean[] inC) {
int nTot = inC.length;
int[] dist = new int[nTot];
Arrays.fill(dist, -1);
ArrayDeque<Integer> q = new ArrayDeque<>();
q.add(src);
dist[src] = 0;
int bestNode = src, bestDist = 0;
while (!q.isEmpty()) {
int u = q.removeFirst();
int du = dist[u];
if (du > bestDist) { bestDist = du; bestNode = u; }
for (int v1 : adj1[u + 1]) {
int v = v1 - 1;
if (!inC[v]) continue;
if (dist[v] >= 0) continue;
dist[v] = du + 1;
q.add(v);
}
}
return new BFSResult(bestNode, bestDist);
}
static int getSnapshotComponentId(Object snap, int[] nodes) {
try {
java.lang.reflect.Field f;
Class<?> cls = snap.getClass();
try { f = cls.getDeclaredField("root"); }
catch (NoSuchFieldException e1) {
try { f = cls.getDeclaredField("componentId"); }
catch (NoSuchFieldException e2) {
try { f = cls.getDeclaredField("compId"); }
catch (NoSuchFieldException e3) {
try { f = cls.getDeclaredField("id"); }
catch (NoSuchFieldException e4) { f = null; }
}
}
}
if (f != null) {
f.setAccessible(true);
Object v = f.get(snap);
if (v instanceof Integer) return ((Integer) v).intValue();
if (v instanceof Long) return ((Long) v).intValue();
if (v != null) return Integer.parseInt(String.valueOf(v));
}
} catch (Throwable t) { /* ignore */ }
int mn = Integer.MAX_VALUE;
for (int u : nodes) if (u < mn) mn = u;
return mn;
}
static AlphaKind parseAlpha(String s) {
String t = s.trim().toUpperCase(Locale.ROOT);
if (t.startsWith("DIAM")) return AlphaKind.DIAM;
if (t.contains("LAMBDA")) return AlphaKind.INV_SQRT_LAMBDA2;
return AlphaKind.DIAM;
}
static String intArrayToJson(int[] arr) {
StringBuilder sb = new StringBuilder();
sb.append('[');
for (int i = 0; i < arr.length; i++) {
if (i > 0) sb.append(',');
sb.append(arr[i]);
}
sb.append(']');
return sb.toString();
}
enum AlphaKind {DIAM, INV_SQRT_LAMBDA2}
static final class GraphData {
int n;
long m;
List<Integer>[] adj1Based;
int[] labels;
String[] labelNames;
}
static final class BFSResult { final int node, dist; BFSResult(int node, int dist) { this.node = node; this.dist = dist; } }
}
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