com.google.flatbuffers.FlatBufferBuilder Java Examples
The following examples show how to use
com.google.flatbuffers.FlatBufferBuilder.
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Example #1
Source File: NDArray.java From deeplearning4j with Apache License 2.0 | 6 votes |
protected int stringBuffer(FlatBufferBuilder builder, DataBuffer buffer) { Preconditions.checkArgument(buffer.dataType() == DataType.UTF8, "This method can be called on UTF8 buffers only"); try { ByteArrayOutputStream bos = new ByteArrayOutputStream(); DataOutputStream dos = new DataOutputStream(bos); val numWords = this.length(); val ub = (Utf8Buffer) buffer; // writing length first val t = length(); val ptr = (BytePointer) ub.pointer(); // now write all strings as bytes for (int i = 0; i < ub.length(); i++) { dos.writeByte(ptr.get(i)); } val bytes = bos.toByteArray(); return FlatArray.createBufferVector(builder, bytes); } catch (IOException e) { throw new RuntimeException(e); } }
Example #2
Source File: StringArrayTests.java From deeplearning4j with Apache License 2.0 | 6 votes |
@Test public void testBasicStrings_4a() { val arrayX = Nd4j.scalar("alpha"); val fb = new FlatBufferBuilder(); val i = arrayX.toFlatArray(fb); fb.finish(i); val db = fb.dataBuffer(); val flat = FlatArray.getRootAsFlatArray(db); val restored = Nd4j.createFromFlatArray(flat); assertEquals("alpha", arrayX.getString(0)); assertEquals(arrayX, restored); assertEquals("alpha", restored.getString(0)); }
Example #3
Source File: LogFileWriter.java From deeplearning4j with Apache License 2.0 | 6 votes |
/** * Register the event name - "accuracy", "loss", etc for later use in recording events. * @param name Name to register * @return Number of bytes written */ public long registerEventName(String name) throws IOException { Preconditions.checkState(endStaticInfoOffset >= 0, "Cannot write name - have not written end of static info marker"); FlatBufferBuilder fbb = new FlatBufferBuilder(0); long time = System.currentTimeMillis(); int offset = UIEvent.createUIEvent(fbb, UIEventType.ADD_NAME, UIEventSubtype.NONE, -1, time, 0, 0, (short)-1, 0, 0); fbb.finish(offset); FlatBufferBuilder fbb2 = new FlatBufferBuilder(0); int idx = nameIndexCounter.getAndIncrement(); nameIndexMap.put(idx, name); indexNameMap.put(name, idx); int strOffset = fbb2.createString(name); int offset2 = UIAddName.createUIAddName(fbb2, idx, strOffset); fbb2.finish(offset2); long l = append(fbb, fbb2); return l; }
Example #4
Source File: ArrowSerde.java From nd4j with Apache License 2.0 | 6 votes |
/** * Convert an {@link INDArray} * to an arrow {@link Tensor} * @param arr the array to convert * @return the equivalent {@link Tensor} */ public static Tensor toTensor(INDArray arr) { FlatBufferBuilder bufferBuilder = new FlatBufferBuilder(1024); long[] strides = getArrowStrides(arr); int shapeOffset = createDims(bufferBuilder,arr); int stridesOffset = Tensor.createStridesVector(bufferBuilder,strides); Tensor.startTensor(bufferBuilder); addTypeTypeRelativeToNDArray(bufferBuilder,arr); Tensor.addShape(bufferBuilder,shapeOffset); Tensor.addStrides(bufferBuilder,stridesOffset); Tensor.addData(bufferBuilder,addDataForArr(bufferBuilder,arr)); int endTensor = Tensor.endTensor(bufferBuilder); Tensor.finishTensorBuffer(bufferBuilder,endTensor); return Tensor.getRootAsTensor(bufferBuilder.dataBuffer()); }
Example #5
Source File: LogFileWriter.java From deeplearning4j with Apache License 2.0 | 6 votes |
public long writeHistogramEventEqualSpacing(String name, EventSubtype subtype, long time, int iteration, int epoch, double min, double max, INDArray y) throws IOException { Preconditions.checkState(y.rank() == 1, "Y array must be rank 1, got Y array with shape %ndShape", y); Preconditions.checkState(max > min, "Maximum histogram value must be greater than minimum - got max=%s, min=%s", max, min); //TODO add support for plugin, variable and frame/iter //TODO: Code duplication for histogram methods... Preconditions.checkState(indexNameMap.containsKey(name), "Name \"%s\" not yet registered", name); int idx = indexNameMap.get(name); FlatBufferBuilder fbb = new FlatBufferBuilder(0); int offset = UIEvent.createUIEvent(fbb, UIEventType.HISTOGRAM, subtype.asUIEventSubtype(), idx, time, iteration, epoch, (short)-1, 0, 0); fbb.finish(offset); FlatBufferBuilder fbb2 = new FlatBufferBuilder(0); int yOffset = y.toFlatArray(fbb2); INDArray binRangesArr = Nd4j.createFromArray(min, max); int binRangesOffset = binRangesArr.toFlatArray(fbb2); int offset2 = UIHistogram.createUIHistogram(fbb2, UIHistogramType.EQUAL_SPACING, y.length(), binRangesOffset, yOffset, 0); fbb2.finish(offset2); return append(fbb, fbb2); }
Example #6
Source File: DatasetConfigUpgrade.java From dremio-oss with Apache License 2.0 | 6 votes |
/** * Converting old Arrow Schema to new one based on Arrow version used * in Dremio as of 2.1.0 * @param oldSchema * @return */ @VisibleForTesting byte[] convertFromOldSchema(OldSchema oldSchema) { FlatBufferBuilder builder = new FlatBufferBuilder(); int[] fieldOffsets = new int[oldSchema.fieldsLength()]; for (int i = 0; i < oldSchema.fieldsLength(); i++) { fieldOffsets[i] = convertFromOldField(oldSchema.fields(i), builder); } int fieldsOffset = org.apache.arrow.flatbuf.Schema.createFieldsVector(builder, fieldOffsets); int[] metadataOffsets = new int[oldSchema.customMetadataLength()]; for (int i = 0; i < metadataOffsets.length; i++) { int keyOffset = builder.createString(oldSchema.customMetadata(i).key()); int valueOffset = builder.createString(oldSchema.customMetadata(i).value()); KeyValue.startKeyValue(builder); KeyValue.addKey(builder, keyOffset); KeyValue.addValue(builder, valueOffset); metadataOffsets[i] = KeyValue.endKeyValue(builder); } int metadataOffset = org.apache.arrow.flatbuf.Field.createCustomMetadataVector(builder, metadataOffsets); org.apache.arrow.flatbuf.Schema.startSchema(builder); org.apache.arrow.flatbuf.Schema.addFields(builder, fieldsOffset); org.apache.arrow.flatbuf.Schema.addCustomMetadata(builder, metadataOffset); builder.finish(org.apache.arrow.flatbuf.Schema.endSchema(builder)); return builder.sizedByteArray(); }
Example #7
Source File: LogFileWriter.java From deeplearning4j with Apache License 2.0 | 6 votes |
public long writeHistogramEventCustomBins(String name, EventSubtype subtype, long time, int iteration, int epoch, INDArray bins, INDArray y) throws IOException { Preconditions.checkState(y.rank() == 1, "Y array must be rank 1, got Y array with shape %ndShape", y); Preconditions.checkState(bins.rank() == 2, "Bins array must have shape [2,numBins], got bins array with shape %ndShape", bins); Preconditions.checkState(y.length() == bins.size(1), "Bins array must have shape [2,numBins], where numBins must match y.length()=%s, got bins array with shape %ndShape", y.length(), bins); //TODO add support for plugin, variable and frame/iter //TODO: Code duplication for histogram methods... Preconditions.checkState(indexNameMap.containsKey(name), "Name \"%s\" not yet registered", name); int idx = indexNameMap.get(name); FlatBufferBuilder fbb = new FlatBufferBuilder(0); int offset = UIEvent.createUIEvent(fbb, UIEventType.HISTOGRAM, subtype.asUIEventSubtype(), idx, time, iteration, epoch, (short)-1, 0, 0); fbb.finish(offset); FlatBufferBuilder fbb2 = new FlatBufferBuilder(0); int yOffset = y.toFlatArray(fbb2); int binRangesOffset = bins.toFlatArray(fbb2); int offset2 = UIHistogram.createUIHistogram(fbb2, UIHistogramType.CUSTOM, y.length(), binRangesOffset, yOffset, 0); fbb2.finish(offset2); return append(fbb, fbb2); }
Example #8
Source File: ByteOrderTests.java From deeplearning4j with Apache License 2.0 | 6 votes |
@Test public void testByteArrayOrder2() { val original = Nd4j.linspace(1, 25, 25, DataType.FLOAT).reshape(5, 5); val bufferBuilder = new FlatBufferBuilder(0); int array = original.toFlatArray(bufferBuilder); bufferBuilder.finish(array); val flatArray = FlatArray.getRootAsFlatArray(bufferBuilder.dataBuffer()); val restored = Nd4j.createFromFlatArray(flatArray); assertEquals(original, restored); }
Example #9
Source File: FragmentWritableBatch.java From dremio-oss with Apache License 2.0 | 6 votes |
public FragmentWritableBatch( final QueryId queryId, final int sendMajorFragmentId, final int sendMinorFragmentId, final int receiveMajorFragmentId, ArrowRecordBatch recordBatch, final int... receiveMinorFragmentId){ this.buffers = recordBatch.getBuffers().stream().map(buf -> buf.asNettyBuffer()).collect (Collectors.toList()).toArray(new ByteBuf[0]); this.recordCount = recordBatch.getLength(); FlatBufferBuilder fbbuilder = new FlatBufferBuilder(); fbbuilder.finish(recordBatch.writeTo(fbbuilder)); ByteBuffer arrowRecordBatch = fbbuilder.dataBuffer(); final FragmentRecordBatch.Builder builder = FragmentRecordBatch.newBuilder() .setArrowRecordBatch(ByteString.copyFrom(arrowRecordBatch)) .setQueryId(queryId) .setReceivingMajorFragmentId(receiveMajorFragmentId) .setSendingMajorFragmentId(sendMajorFragmentId) .setSendingMinorFragmentId(sendMinorFragmentId); for(final int i : receiveMinorFragmentId){ builder.addReceivingMinorFragmentId(i); } this.header = builder.build(); }
Example #10
Source File: ExecutorConfiguration.java From nd4j with Apache License 2.0 | 6 votes |
/** * This method * @param builder * @return */ public int getFlatConfiguration(FlatBufferBuilder builder) { byte prof = profilingMode == OpExecutioner.ProfilingMode.INF_PANIC ? ProfilingMode.INF_PANIC : profilingMode == OpExecutioner.ProfilingMode.NAN_PANIC ? ProfilingMode.NAN_PANIC : profilingMode == OpExecutioner.ProfilingMode.ANY_PANIC ? ProfilingMode.ANY_PANIC : ProfilingMode.NONE; byte exec = executionMode == ExecutionMode.SEQUENTIAL ? org.nd4j.graph.ExecutionMode.SEQUENTIAL : executionMode == ExecutionMode.AUTO ? org.nd4j.graph.ExecutionMode.AUTO : executionMode == ExecutionMode.STRICT ? org.nd4j.graph.ExecutionMode.STRICT : -1; byte outp = outputMode == OutputMode.IMPLICIT ? org.nd4j.graph.OutputMode.IMPLICIT : outputMode == OutputMode.EXPLICIT ? org.nd4j.graph.OutputMode.EXPLICIT : outputMode == OutputMode.EXPLICIT_AND_IMPLICIT ? org.nd4j.graph.OutputMode.EXPLICIT_AND_IMPLICIT : outputMode == OutputMode.VARIABLE_SPACE ? org.nd4j.graph.OutputMode.VARIABLE_SPACE : -1; if (exec == -1) throw new UnsupportedOperationException("Unknown values were passed into configuration as ExecutionMode: [" + executionMode + "]"); if (outp == -1) throw new UnsupportedOperationException("Unknown values were passed into configuration as OutputMode: [" + outputMode + "]"); return FlatConfiguration.createFlatConfiguration(builder, -1, prof, exec, outp, gatherTimings, footprintForward, footprintBackward, Direction.FORWARD_ONLY); }
Example #11
Source File: FunctionProperties.java From nd4j with Apache License 2.0 | 6 votes |
/** * This method converts this FunctionProperties instance to FlatBuffers representation * @param bufferBuilder * @return */ public int asFlatProperties(FlatBufferBuilder bufferBuilder) { int iname = bufferBuilder.createString(name); int ii = FlatProperties.createIVector(bufferBuilder, Ints.toArray(i)); int il = FlatProperties.createLVector(bufferBuilder, Longs.toArray(l)); int id = FlatProperties.createDVector(bufferBuilder, Doubles.toArray(d)); int arrays[] = new int[a.size()]; int cnt = 0; for (val array: a) { int off = array.toFlatArray(bufferBuilder); arrays[cnt++] = off; } int ia = FlatProperties.createAVector(bufferBuilder, arrays); return FlatProperties.createFlatProperties(bufferBuilder, iname, ii, il, id, ia); }
Example #12
Source File: ArrowSerde.java From deeplearning4j with Apache License 2.0 | 6 votes |
/** * Convert an {@link INDArray} * to an arrow {@link Tensor} * @param arr the array to convert * @return the equivalent {@link Tensor} */ public static Tensor toTensor(INDArray arr) { FlatBufferBuilder bufferBuilder = new FlatBufferBuilder(1024); long[] strides = getArrowStrides(arr); int shapeOffset = createDims(bufferBuilder,arr); int stridesOffset = Tensor.createStridesVector(bufferBuilder,strides); Tensor.startTensor(bufferBuilder); addTypeTypeRelativeToNDArray(bufferBuilder,arr); Tensor.addShape(bufferBuilder,shapeOffset); Tensor.addStrides(bufferBuilder,stridesOffset); Tensor.addData(bufferBuilder,addDataForArr(bufferBuilder,arr)); int endTensor = Tensor.endTensor(bufferBuilder); Tensor.finishTensorBuffer(bufferBuilder,endTensor); return Tensor.getRootAsTensor(bufferBuilder.dataBuffer()); }
Example #13
Source File: MixedDataTypesTests.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testFlatSerde_3() { val arrayX = Nd4j.create(new boolean[]{true, false, true, true}, new long[]{4}, DataType.BOOL); val builder = new FlatBufferBuilder(512); val flat = arrayX.toFlatArray(builder); builder.finish(flat); val db = builder.dataBuffer(); val flatb = FlatArray.getRootAsFlatArray(db); val restored = Nd4j.createFromFlatArray(flatb); assertEquals(arrayX, restored); }
Example #14
Source File: BNLS.java From riiablo with Apache License 2.0 | 5 votes |
private boolean ConnectionDenied(Socket socket, String reason) throws IOException { FlatBufferBuilder builder = new FlatBufferBuilder(); int reasonOffset = builder.createString(reason); int connectionDeniedId = ConnectionClosed.createConnectionClosed(builder, reasonOffset); int id = com.riiablo.net.packet.bnls.BNLS.createBNLS(builder, BNLSData.ConnectionClosed, connectionDeniedId); builder.finish(id); ByteBuffer data = builder.dataBuffer(); OutputStream out = socket.getOutputStream(); WritableByteChannel channel = Channels.newChannel(out); channel.write(data); return true; }
Example #15
Source File: MixedDataTypesTests.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testFlatSerde_2() { val arrayX = Nd4j.create(new long[]{1, 2, 3, 4}, new long[]{4}, DataType.LONG); val builder = new FlatBufferBuilder(512); val flat = arrayX.toFlatArray(builder); builder.finish(flat); val db = builder.dataBuffer(); val flatb = FlatArray.getRootAsFlatArray(db); val restored = Nd4j.createFromFlatArray(flatb); assertEquals(arrayX, restored); }
Example #16
Source File: LogFileWriter.java From deeplearning4j with Apache License 2.0 | 5 votes |
private int[] encodeStrings(FlatBufferBuilder fbb, List<String> list){ if(list == null || list.isEmpty()) return null; int[] idx = new int[list.size()]; for( int i=0; i<idx.length; i++ ){ idx[i] = fbb.createString(list.get(i)); } return idx; }
Example #17
Source File: LobbyScreen.java From riiablo with Apache License 2.0 | 5 votes |
private void JoinGame(GameSession session, ResponseListener listener) { Gdx.app.debug(TAG, "Joining game " + session); FlatBufferBuilder builder = new FlatBufferBuilder(); int gameNameOffset = builder.createString(session.name); JoinGame.startJoinGame(builder); JoinGame.addGameName(builder, gameNameOffset); int joinGameOffset = JoinGame.endJoinGame(builder); int id = MCP.createMCP(builder, MCPData.JoinGame, joinGameOffset); builder.finish(id); ByteBuffer data = builder.dataBuffer(); connection.sendRequest(data, listener); }
Example #18
Source File: ByteOrderTests.java From nd4j with Apache License 2.0 | 5 votes |
@Test public void testByteArrayOrder2() { val original = Nd4j.linspace(1, 25, 25).reshape(5, 5); val bufferBuilder = new FlatBufferBuilder(0); int array = original.toFlatArray(bufferBuilder); bufferBuilder.finish(array); val flatArray = FlatArray.getRootAsFlatArray(bufferBuilder.dataBuffer()); val restored = Nd4j.createFromFlatArray(flatArray); assertEquals(original, restored); }
Example #19
Source File: ByteOrderTests.java From nd4j with Apache License 2.0 | 5 votes |
@Test public void testByteArrayOrder3() { val original = Nd4j.linspace(1, 25, 25).reshape('f', 5, 5); val bufferBuilder = new FlatBufferBuilder(0); int array = original.toFlatArray(bufferBuilder); bufferBuilder.finish(array); val flatArray = FlatArray.getRootAsFlatArray(bufferBuilder.dataBuffer()); val restored = Nd4j.createFromFlatArray(flatArray); assertEquals(original, restored); }
Example #20
Source File: MixedDataTypesTests.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Test public void testFlatSerde_1() { val arrayX = Nd4j.create(new int[]{1, 2, 3, 4}, new long[]{4}, DataType.INT); val builder = new FlatBufferBuilder(512); val flat = arrayX.toFlatArray(builder); builder.finish(flat); val db = builder.dataBuffer(); val flatb = FlatArray.getRootAsFlatArray(db); val restored = Nd4j.createFromFlatArray(flatb); assertEquals(arrayX, restored); }
Example #21
Source File: FunctionProperties.java From nd4j with Apache License 2.0 | 5 votes |
/** * This method converts multiple FunctionProperties to FlatBuffers representation * * @param bufferBuilder * @param properties * @return */ public static int asFlatProperties(FlatBufferBuilder bufferBuilder, Collection<FunctionProperties> properties) { int props[] = new int[properties.size()]; int cnt = 0; for (val p: properties) props[cnt++] = p.asFlatProperties(bufferBuilder); return FlatNode.createPropertiesVector(bufferBuilder, props); }
Example #22
Source File: LobbyScreen.java From riiablo with Apache License 2.0 | 5 votes |
private void CreateGame(GameSession session, ResponseListener listener) { Gdx.app.debug(TAG, "Creating game " + session); FlatBufferBuilder builder = new FlatBufferBuilder(); int gameNameOffset = builder.createString(session.name); int descriptionOffset = builder.createString(session.desc); CreateGame.startCreateGame(builder); CreateGame.addGameName(builder, gameNameOffset); CreateGame.addDescription(builder, descriptionOffset); int createGameOffset = CreateGame.endCreateGame(builder); int id = MCP.createMCP(builder, MCPData.CreateGame, createGameOffset); builder.finish(id); ByteBuffer data = builder.dataBuffer(); connection.sendRequest(data, listener); }
Example #23
Source File: SerializationManager.java From riiablo with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") public int serialize(FlatBufferBuilder builder, int entityId) { dataType.clear(); data.clear(); components.clear(); int type = mClass.get(entityId).type.ordinal(); int flags = mFlags.get(entityId).flags; if ((flags & EntityFlags.deleted) == EntityFlags.deleted) { int dataTypeOffset = EntitySync.createComponentTypeVector(builder, ArrayUtils.EMPTY_BYTE_ARRAY); int dataOffset = EntitySync.createComponentVector(builder, ArrayUtils.EMPTY_INT_ARRAY); return EntitySync.createEntitySync(builder, entityId, type, flags, dataTypeOffset, dataOffset); } componentManager.getComponentsFor(entityId, components); for (Component c : components) { FlatBuffersSerializer serializer = serializers.get(c.getClass()); if (serializer == null) continue; dataType.add(serializer.getDataType()); data.add(serializer.putData(builder, c)); } assert dataType.size == data.size; final int dataTypeSize = dataType.size; final byte[] dataType = this.dataType.items; EntitySync.startComponentTypeVector(builder, dataTypeSize); for (int i = 0; i < dataTypeSize; i++) builder.addByte(dataType[i]); int dataTypeOffset = builder.endVector(); final int dataSize = data.size; final int[] data = this.data.items; EntitySync.startComponentVector(builder, dataSize); for (int i = 0; i < dataSize; i++) builder.addOffset(data[i]); int dataOffset = builder.endVector(); return EntitySync.createEntitySync(builder, entityId, type, flags, dataTypeOffset, dataOffset); }
Example #24
Source File: LogFileWriter.java From deeplearning4j with Apache License 2.0 | 5 votes |
/** * Write marker for final static data * @return * @throws IOException */ public long writeFinishStaticMarker() throws IOException { Preconditions.checkState(endStaticInfoOffset < 0, "Wrote final static already information already"); Pair<Integer, FlatBufferBuilder> encoded = encodeStaticHeader(UIInfoType.START_EVENTS); long out = append(encoded.getSecond(), null); endStaticInfoOffset = file.length(); return out; }
Example #25
Source File: D2GS.java From riiablo with Apache License 2.0 | 5 votes |
private void Ping(Packet packet) { Ping ping = (Ping) packet.data.data(new Ping()); FlatBufferBuilder builder = new FlatBufferBuilder(0); int dataOffset = Ping.createPing(builder, ping.tickCount(), ping.sendTime(), TimeUtils.millis() - packet.time, false); int root = com.riiablo.net.packet.d2gs.D2GS.createD2GS(builder, D2GSData.Ping, dataOffset); com.riiablo.net.packet.d2gs.D2GS.finishSizePrefixedD2GSBuffer(builder, root); Packet response = Packet.obtain(1 << packet.id, builder.dataBuffer()); outPackets.offer(response); }
Example #26
Source File: NetworkedClientItemManager.java From riiablo with Apache License 2.0 | 5 votes |
@Override public void cursorToGround() { FlatBufferBuilder builder = obtainBuilder(); CursorToGround.startCursorToGround(builder); int dataOffset = CursorToGround.endCursorToGround(builder); wrapAndSend(builder, D2GSData.CursorToGround, dataOffset); }
Example #27
Source File: NetworkedClientItemManager.java From riiablo with Apache License 2.0 | 5 votes |
@Override public void groundToCursor(int entityId) { int serverId = mNetworked.get(entityId).serverId; FlatBufferBuilder builder = obtainBuilder(); int dataOffset = GroundToCursor.createGroundToCursor(builder, serverId); wrapAndSend(builder, D2GSData.GroundToCursor, dataOffset); }
Example #28
Source File: BaseNDArray.java From deeplearning4j with Apache License 2.0 | 5 votes |
@Override public int toFlatArray(FlatBufferBuilder builder) { if(isView()){ return dup(this.ordering()).toFlatArray(builder); } int shape = FlatArray.createShapeVector(builder, this.shapeInfoDataBuffer().asLong()); int buffer = this.isEmpty() ? 0 : this.dataType() == DataType.UTF8 ? stringBuffer(builder, this.data()) : FlatArray.createBufferVector(builder, this.data().asBytes()); val type = this.isEmpty() ? FlatBuffersMapper.getDataTypeAsByte(this.dataType()) : FlatBuffersMapper.getDataTypeAsByte(this.data().dataType()); int array = FlatArray.createFlatArray(builder, shape, buffer, type, ByteOrder.BE); return array; }
Example #29
Source File: Pinger.java From riiablo with Apache License 2.0 | 5 votes |
@Override protected void processSystem() { FlatBufferBuilder builder = new FlatBufferBuilder(0); int dataOffset = Ping.createPing(builder, tick++, TimeUtils.millis(), 0, false); int root = D2GS.createD2GS(builder, D2GSData.Ping, dataOffset); D2GS.finishSizePrefixedD2GSBuffer(builder, root); try { OutputStream out = socket.getOutputStream(); WritableByteChannel channelOut = Channels.newChannel(out); channelOut.write(builder.dataBuffer()); } catch (Throwable t) { Gdx.app.error(TAG, t.getMessage(), t); } }
Example #30
Source File: BNLS.java From riiablo with Apache License 2.0 | 5 votes |
private boolean ConnectionAccepted(Socket socket) throws IOException { Gdx.app.debug(TAG, "Connection accepted!"); FlatBufferBuilder builder = new FlatBufferBuilder(); ConnectionAccepted.startConnectionAccepted(builder); int connectionAcceptedId = ConnectionAccepted.endConnectionAccepted(builder); int id = com.riiablo.net.packet.bnls.BNLS.createBNLS(builder, BNLSData.ConnectionAccepted, connectionAcceptedId); builder.finish(id); ByteBuffer data = builder.dataBuffer(); OutputStream out = socket.getOutputStream(); WritableByteChannel channel = Channels.newChannel(out); channel.write(data); return false; }