use of org.deeplearning4j.graph.data.impl.DelimitedVertexLoader in project deeplearning4j by deeplearning4j.
the class TestGraphLoading method testGraphLoadingWithVertices.
@Test
public void testGraphLoadingWithVertices() throws IOException {
ClassPathResource verticesCPR = new ClassPathResource("test_graph_vertices.txt");
ClassPathResource edgesCPR = new ClassPathResource("test_graph_edges.txt");
EdgeLineProcessor<String> edgeLineProcessor = new DelimitedEdgeLineProcessor(",", false, "//");
VertexLoader<String> vertexLoader = new DelimitedVertexLoader(":", "//");
Graph<String, String> graph = GraphLoader.loadGraph(verticesCPR.getTempFileFromArchive().getAbsolutePath(), edgesCPR.getTempFileFromArchive().getAbsolutePath(), vertexLoader, edgeLineProcessor, false);
System.out.println(graph);
for (int i = 0; i < 10; i++) {
List<Edge<String>> edges = graph.getEdgesOut(i);
assertEquals(2, edges.size());
//expect for example 0->1 and 9->0
Edge<String> first = edges.get(0);
if (first.getFrom() == i) {
//undirected edge: i -> i+1 (or 9 -> 0)
assertEquals(i, first.getFrom());
assertEquals((i + 1) % 10, first.getTo());
} else {
//undirected edge: i-1 -> i (or 9 -> 0)
assertEquals((i + 10 - 1) % 10, first.getFrom());
assertEquals(i, first.getTo());
}
Edge<String> second = edges.get(1);
assertNotEquals(first.getFrom(), second.getFrom());
if (second.getFrom() == i) {
//undirected edge: i -> i+1 (or 9 -> 0)
assertEquals(i, second.getFrom());
assertEquals((i + 1) % 10, second.getTo());
} else {
//undirected edge: i-1 -> i (or 9 -> 0)
assertEquals((i + 10 - 1) % 10, second.getFrom());
assertEquals(i, second.getTo());
}
}
}
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