Use Java 11 instead of Groovy for examples

Author: dustalov

examples/FuzzyClustering.groovy

@@ -0,0 +1,64 @@
+// java -cp watset.jar FuzzyClustering.java
+
+/*
+ * Copyright 2019 Dmitry Ustalov
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ */
+
+import org.jgrapht.Graph;
+import org.jgrapht.graph.DefaultWeightedEdge;
+import org.jgrapht.graph.SimpleWeightedGraph;
+import org.nlpub.watset.graph.*;
+import org.nlpub.watset.util.Sense;
+
+import java.util.function.Function;
+
+public class FuzzyClustering {
+    public static void main(String[] args) {
+        Graph<String, DefaultWeightedEdge> graph = SimpleWeightedGraph.<String, DefaultWeightedEdge>createBuilder(DefaultWeightedEdge.class).
+                addVertices("a", "b", "c", "d", "e").
+                addEdge("a", "b").
+                addEdge("a", "c").
+                addEdge("a", "c").
+                addEdge("d", "e").
+                build();
+
+        System.out.print("Graph: ");
+        System.out.println(graph);
+
+        // MaxMax Example
+        MaxMax<String, DefaultWeightedEdge> maxmax = new MaxMax<>(graph);
+        maxmax.fit();
+
+        System.out.print("MaxMax Digraph: ");
+        System.out.println(maxmax.getDigraph());
+
+        System.out.print("MaxMax Clusters: ");
+        System.out.println(maxmax.getClusters());
+
+        // Watset Example
+        Function<Graph<String, DefaultWeightedEdge>, Clustering<String>> local = ChineseWhispers.provider(NodeWeighting.top());
+        Function<Graph<Sense<String>, DefaultWeightedEdge>, Clustering<Sense<String>>> global = ChineseWhispers.provider(NodeWeighting.top());
+
+        SimplifiedWatset<String, DefaultWeightedEdge> watset = new SimplifiedWatset<>(graph, local, global);
+        watset.fit();
+
+        System.out.print("Watset Sense Graph: ");
+        System.out.println(watset.getSenseGraph());
+
+        System.out.print("Watset Clusters: ");
+        System.out.println(watset.getClusters());
+    }
+}

examples/FuzzyClustering.java

@@ -0,0 +1,83 @@
+// java -cp watset.jar HardClustering.java
+
+/*
+ * Copyright 2019 Dmitry Ustalov
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ */
+
+import org.jgrapht.Graph;
+import org.jgrapht.graph.DefaultWeightedEdge;
+import org.jgrapht.graph.SimpleWeightedGraph;
+import org.nlpub.watset.graph.*;
+import org.nlpub.watset.util.Sense;
+
+import java.util.function.Function;
+
+public class HardClustering {
+    public static void main(String[] args) {
+        Graph<String, DefaultWeightedEdge> graph = SimpleWeightedGraph.<String, DefaultWeightedEdge>createBuilder(DefaultWeightedEdge.class).
+                addVertices("a", "b", "c", "d", "e").
+                addEdge("a", "b").
+                addEdge("a", "c").
+                addEdge("a", "c").
+                addEdge("d", "e").
+                build();
+
+        System.out.print("Graph: ");
+        System.out.println(graph);
+
+        // Empty Example
+        EmptyClustering<String> empty = new EmptyClustering<>();
+        empty.fit();
+
+        System.out.print("Empty Clusters: ");
+        System.out.println(empty.getClusters());
+
+        // Singleton Example
+        SingletonClustering<String, DefaultWeightedEdge> singleton = new SingletonClustering<>(graph);
+        singleton.fit();
+
+        System.out.print("Singleton Clusters: ");
+        System.out.println(singleton.getClusters());
+
+        // Together Example
+        TogetherClustering<String, DefaultWeightedEdge> together = new TogetherClustering<>(graph);
+        together.fit();
+
+        System.out.print("Together Clusters: ");
+        System.out.println(together.getClusters());
+
+        // Components Clustering Example
+        ComponentsClustering<String, DefaultWeightedEdge> components = new ComponentsClustering<>(graph);
+        components.fit();
+
+        System.out.print("Components Clusters: ");
+        System.out.println(components.getClusters());
+
+        // Chinese Whispers Example
+        ChineseWhispers<String, DefaultWeightedEdge> cw = new ChineseWhispers<>(graph, NodeWeighting.top());
+        cw.fit();
+
+        System.out.print("Chinese Whispers Clusters: ");
+        System.out.println(cw.getClusters());
+
+        // Markov Clustering Example
+        MarkovClustering<String, DefaultWeightedEdge> mcl = new MarkovClustering<>(graph, 2, 2);
+        mcl.fit();
+
+        System.out.print("Markov Clustering Clusters: ");
+        System.out.println(mcl.getClusters());
+    }
+}

examples/HardClustering.groovy

@@ -1,28 +1,21 @@
 export LANG := en_US.UTF-8
 export CLASSPATH := $(CURDIR)/watset.jar
 
-# https://issues.apache.org/jira/browse/GROOVY-8339 is really annoying
-export JAVA_OPTS := --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.security=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.lang.annotation=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED
-
-ifeq ($(shell which groovy),)
-$(error Please install Groovy and add it to PATH)
-endif
-
-RELEASE := 2.0.0
+RELEASE := 2.1.3
 
 all: HardClustering FuzzyClustering PickleGraph PickleClustering CommandLine
 
 clean:
 	rm -fv *.pkl *.jar
 
-%: %.groovy | watset.jar
-	groovy $<
+%: %.java | watset.jar
+	java "$<"
 
 %: %.py
-	python3 $<
+	python3 "$<"
 
 %: %.sh | watset.jar
-	$(SHELL) $<
+	$(SHELL) "$<"
 
 watset.jar:
 	curl -sLo "$@" "https://github.com/nlpub/watset-java/releases/download/$(RELEASE)/watset.jar"

examples/HardClustering.java

@@ -0,0 +1,46 @@
+// python3 PickleGraph.py
+// java -cp watset.jar PickleClustering.java
+
+/*
+ * Copyright 2020 Dmitry Ustalov
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ */
+
+import net.razorvine.pickle.Unpickler;
+import net.razorvine.pickle.objects.ClassDict;
+import org.jgrapht.Graph;
+import org.jgrapht.graph.DefaultWeightedEdge;
+import org.nlpub.watset.graph.*;
+import org.nlpub.watset.util.NetworkXFormat;
+
+import java.io.IOException;
+import java.io.InputStream;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+
+public class PickleClustering {
+    public static void main(String[] args) throws IOException {
+        try (InputStream stream = Files.newInputStream(Paths.get("karate_club_graph.pkl"))) {
+            ClassDict nx = NetworkXFormat.parse(stream);
+            Graph<Object, DefaultWeightedEdge> graph = NetworkXFormat.load(nx);
+
+            ChineseWhispers<Object, DefaultWeightedEdge> cw = new ChineseWhispers<>(graph, NodeWeighting.top());
+            cw.fit();
+
+            System.out.print("Chinese Whispers Clusters: ");
+            System.out.println(cw.getClusters());
+        }
+    }
+}