use of com.baidu.hugegraph.computer.core.graph.value.LongValue in project hugegraph-computer by hugegraph.
the class DefaultPropertiesTest method testHashCode.
@Test
public void testHashCode() {
DefaultProperties props = new DefaultProperties(graphFactory());
props.put("p1", new LongValue(1L));
props.put("p2", new DoubleValue(2.0D));
Assert.assertEquals(1073748897, props.hashCode());
}
use of com.baidu.hugegraph.computer.core.graph.value.LongValue in project hugegraph-computer by hugegraph.
the class DefaultPropertiesTest method testOverwrite.
@Test
public void testOverwrite() {
DefaultProperties properties = new DefaultProperties(graphFactory());
Assert.assertEquals(0, properties.get().size());
properties.put("p1", new LongValue(1L));
properties.put("p2", new DoubleValue(2.0D));
Assert.assertEquals(new LongValue(1L), properties.get("p1"));
properties.put("p1", new LongValue(2L));
Assert.assertEquals(new LongValue(2L), properties.get("p1"));
Map<String, Value> props = properties.get();
Assert.assertEquals(2, props.size());
Assert.assertEquals(new LongValue(2L), props.get("p1"));
Assert.assertEquals(new DoubleValue(2.0D), props.get("p2"));
}
use of com.baidu.hugegraph.computer.core.graph.value.LongValue in project hugegraph-computer by hugegraph.
the class PageRank4Master method compute.
@Override
public boolean compute(MasterComputationContext context) {
LongValue danglingVerticesNum = context.aggregatedValue(AGGR_DANGLING_VERTICES_NUM);
DoubleValue danglingProbability = context.aggregatedValue(AGGR_COMULATIVE_DANGLING_PROBABILITY);
DoubleValue cumulativeProbability = context.aggregatedValue(AGGR_COMULATIVE_PROBABILITY);
DoubleValue l1NormDifference = context.aggregatedValue(AGGR_L1_NORM_DIFFERENCE_KEY);
StringBuilder sb = new StringBuilder();
sb.append("[Superstep ").append(context.superstep()).append("]").append(", dangling vertices num = ").append(danglingVerticesNum).append(", cumulative dangling probability = ").append(danglingProbability.value()).append(", cumulative probability = ").append(cumulativeProbability).append(", l1 norm difference = ").append(l1NormDifference.value());
LOG.info("PageRank running status: {}", sb);
double l1Diff = l1NormDifference.value();
if (context.superstep() > 1 && l1Diff <= this.l1DiffThreshold) {
return false;
} else {
return true;
}
}
use of com.baidu.hugegraph.computer.core.graph.value.LongValue in project hugegraph-computer by hugegraph.
the class JsonStructGraphOutputTest method testWriteReadVertexWithProperties.
@Test
public void testWriteReadVertexWithProperties() throws IOException {
UnitTestBase.updateOptions(ComputerOptions.OUTPUT_WITH_ADJACENT_EDGES, "false", ComputerOptions.OUTPUT_WITH_VERTEX_PROPERTIES, "true", ComputerOptions.OUTPUT_WITH_EDGE_PROPERTIES, "false", ComputerOptions.OUTPUT_RESULT_NAME, "rank");
ComputerContext context = context();
GraphFactory factory = context.graphFactory();
Id longId = BytesId.of(100L);
IdListList idListList = new IdListList();
IdList idList1 = new IdList();
idList1.add(BytesId.of(66L));
IdList idList2 = new IdList();
idList2.add(BytesId.of(998L));
idList2.add(BytesId.of(999L));
idListList.add(idList1);
idListList.add(idList2);
Vertex vertex = factory.createVertex(longId, idListList);
vertex.properties().put("boolean", new BooleanValue(true));
vertex.properties().put("byte", new IntValue(127));
vertex.properties().put("short", new IntValue(16383));
vertex.properties().put("int", new IntValue(1000000));
vertex.properties().put("long", new LongValue(10000000000L));
vertex.properties().put("float", new FloatValue(0.1F));
vertex.properties().put("double", new DoubleValue(-0.01D));
vertex.properties().put("idvalue", longId);
String fileName = "output.json";
File file = new File(fileName);
try {
BufferedFileOutput dos = new BufferedFileOutput(file);
StructGraphOutput output = (StructGraphOutput) IOFactory.createGraphOutput(context, OutputFormat.JSON, dos);
output.writeVertex(vertex);
dos.close();
@SuppressWarnings("deprecation") String json = FileUtils.readFileToString(file);
Assert.assertEquals("{\"id\":100,\"rank\":[[66],[998,999]]," + "\"properties\":{\"boolean\":true," + "\"byte\":127,\"double\":-0.01," + "\"short\":16383,\"idvalue\":100," + "\"float\":0.1,\"int\":1000000," + "\"long\":10000000000}}" + System.lineSeparator(), json);
} finally {
FileUtils.deleteQuietly(file);
}
}
use of com.baidu.hugegraph.computer.core.graph.value.LongValue in project hugegraph-computer by hugegraph.
the class StreamGraphOutputInputTest method testWriteReadEdgesWithSingleFrequency.
@Test
public void testWriteReadEdgesWithSingleFrequency() throws Exception {
UnitTestBase.updateOptions(ComputerOptions.INPUT_EDGE_FREQ, "SINGLE");
ComputerContext context = ComputerContext.instance();
GraphFactory graphFactory = context.graphFactory();
Id longId = BytesId.of(100L);
LongValue longValue = new LongValue(999L);
Vertex vertex = graphFactory().createVertex(longId, longValue);
vertex.addEdge(graphFactory.createEdge(BytesId.of(2L)));
vertex.addEdge(graphFactory.createEdge("knows", BytesId.of(3L)));
vertex.addEdge(graphFactory.createEdge("watch", BytesId.of(3L)));
vertex.addEdge(graphFactory.createEdge("watch", "1111", BytesId.of(4L)));
vertex.addEdge(graphFactory.createEdge("watch", "2222", BytesId.of(4L)));
byte[] bytes;
try (BytesOutput bao = IOFactory.createBytesOutput(Constants.SMALL_BUF_SIZE)) {
StreamGraphOutput output = newStreamGraphOutput(bao);
output.writeEdges(vertex);
bytes = bao.toByteArray();
bytes = reweaveBytes(bytes);
}
try (BytesInput bai = IOFactory.createBytesInput(bytes)) {
StreamGraphInput input = newStreamGraphInput(bai);
assertEdgesEqual(vertex, input.readEdges(), EdgeFrequency.SINGLE);
}
}
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