org.nd4j.shade.jackson.databind.JsonNode Java Examples

@Override
public IntegerDistribution deserialize(JsonParser p, DeserializationContext ctxt) throws IOException {
    JsonNode node = p.getCodec().readTree(p);
    String simpleName = node.get("distribution").asText();

    switch (simpleName) {
        case "BinomialDistribution":
            return new BinomialDistribution(node.get("trials").asInt(), node.get("p").asDouble());
        case "GeometricDistribution":
            return new GeometricDistribution(node.get("p").asDouble());
        case "HypergeometricDistribution":
            return new HypergeometricDistribution(node.get("populationSize").asInt(),
                            node.get("numberOfSuccesses").asInt(), node.get("sampleSize").asInt());
        case "PascalDistribution":
            return new PascalDistribution(node.get("r").asInt(), node.get("p").asDouble());
        case "PoissonDistribution":
            return new PoissonDistribution(node.get("p").asDouble());
        case "UniformIntegerDistribution":
            return new UniformIntegerDistribution(node.get("lower").asInt(), node.get("upper").asInt());
        case "ZipfDistribution":
            return new ZipfDistribution(node.get("numElements").asInt(), node.get("exponent").asDouble());
        default:
            throw new RuntimeException("Unknown or not supported distribution: " + simpleName);
    }
}
 

protected Point deserializePoint(JsonNode n2){
    String label = null;
    Double prob = null;
    if(n2.has("label") ){
        label = n2.get("label").textValue();
    } else if(n2.has("@label")){
        label = n2.get("@label").textValue();
    }

    if(n2.has("probability")){
        prob = n2.get("probability").doubleValue();
    } else if(n2.has("@probability")){
        prob = n2.get("@probability").doubleValue();
    }

    ArrayNode n3 = (ArrayNode) n2.get(Data.RESERVED_KEY_POINT_COORDS);
    double[] coords = new double[n3.size()];
    for (int i = 0; i < n3.size(); i++) {
        coords[i] = n3.get(i).asDouble();
    }
    return Point.create(coords, label, prob);
}
 

@Override
public DataFormat deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
    JsonNode node = jp.getCodec().readTree(jp);
    String text = node.textValue();
    switch (text){
        case "NCHW":
            return CNN2DFormat.NCHW;
        case "NHWC":
            return CNN2DFormat.NHWC;
        case "NCW":
            return RNNFormat.NCW;
        case "NWC":
            return RNNFormat.NWC;
        default:
            return null;
    }
}
 

@Override
public int[] deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
    JsonNode n = jp.getCodec().readTree(jp);
    if(n.isArray()){
        ArrayNode an = (ArrayNode)n;
        int size = an.size();
        int[] out = new int[size];
        for( int i=0; i<size; i++ ){
            out[i] = an.get(i).asInt();
        }
        return out;
    } else if(n.isNumber()){
        int v = n.asInt();
        return new int[]{v,v};
    } else {
        throw new IllegalStateException("Could not deserialize value: " + n);
    }
}
 

@Override
public DateTimeFieldType deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)
                throws IOException, JsonProcessingException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    String value = node.get("fieldType").textValue();
    return map.get(value);
}
 

@Override
public INDArray deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)
                throws IOException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    if (node == null)
        return null;
    int size = node.size();
    double[] d = new double[size];
    for (int i = 0; i < size; i++) {
        d[i] = node.get(i).asDouble();
    }

    return Nd4j.create(d);
}
 

@Override
public ConfusionMatrix<Integer> deserialize(JsonParser jp, DeserializationContext ctxt)
                throws IOException, JsonProcessingException {
    JsonNode n = jp.getCodec().readTree(jp);

    //Get class names/labels
    ArrayNode classesNode = (ArrayNode) n.get("classes");
    List<Integer> classes = new ArrayList<>();
    for (JsonNode cn : classesNode) {
        classes.add(cn.asInt());
    }

    ConfusionMatrix<Integer> cm = new ConfusionMatrix<>(classes);

    ObjectNode matrix = (ObjectNode) n.get("matrix");
    Iterator<Map.Entry<String, JsonNode>> matrixIter = matrix.fields();
    while (matrixIter.hasNext()) {
        Map.Entry<String, JsonNode> e = matrixIter.next();

        int actualClass = Integer.parseInt(e.getKey());
        ArrayNode an = (ArrayNode) e.getValue();

        ArrayNode innerMultiSetKey = (ArrayNode) an.get(0);
        ArrayNode innerMultiSetCount = (ArrayNode) an.get(1);

        Iterator<JsonNode> iterKey = innerMultiSetKey.iterator();
        Iterator<JsonNode> iterCnt = innerMultiSetCount.iterator();
        while (iterKey.hasNext()) {
            int predictedClass = iterKey.next().asInt();
            int count = iterCnt.next().asInt();

            cm.add(actualClass, predictedClass, count);
        }
    }

    return cm;
}
 

@Override
public DateTimeFieldType deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)
                throws IOException, JsonProcessingException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    String value = node.get("fieldType").textValue();
    return map.get(value);
}
 

@Override
public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
    JsonNode node = jp.getCodec().readTree(jp);
    if(node.has("dataBuffer")){
        //Must be legacy format serialization
        JsonNode arr = node.get("dataBuffer");
        int rank = node.get("rankField").asInt();
        int numElements = node.get("numElements").asInt();
        int offset = node.get("offsetField").asInt();
        JsonNode shape = node.get("shapeField");
        JsonNode stride = node.get("strideField");
        int[] shapeArr = new int[rank];
        int[] strideArr = new int[rank];
        DataBuffer buff = Nd4j.createBuffer(numElements);
        for (int i = 0; i < numElements; i++) {
            buff.put(i, arr.get(i).asDouble());
        }

        String ordering = node.get("orderingField").asText();
        for (int i = 0; i < rank; i++) {
            shapeArr[i] = shape.get(i).asInt();
            strideArr[i] = stride.get(i).asInt();
        }

        return Nd4j.create(buff, shapeArr, strideArr, offset, ordering.charAt(0));
    }
    //Standard/new format
    return new NDArrayTextDeSerializer().deserialize(node);
}
 

@Override
public TDigest deserialize(JsonParser jp, DeserializationContext d) throws IOException, JsonProcessingException {
    JsonNode node = (JsonNode)jp.getCodec().readTree(jp);
    String field = node.get("digest").asText();
    Base64 b = new Base64();
    byte[] bytes = b.decode(field);
    try(ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(bytes))){
        return (TDigest) ois.readObject();
    } catch (Exception e){
        throw new RuntimeException("Error deserializing TDigest object from JSON", e);
    }
}
 

@Override
public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException {
    JsonNode node = jp.getCodec().readTree(jp);
    String field = node.get("array").asText();
    INDArray ret = Nd4jBase64.fromBase64(field.toString());
    return ret;

}
 

@Override
public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException {
    JsonNode node = jp.getCodec().readTree(jp);
    JsonNode arr = node.get("dataBuffer");
    int rank = node.get("rankField").asInt();
    int numElements = node.get("numElements").asInt();
    int offset = node.get("offsetField").asInt();
    JsonNode shape = node.get("shapeField");
    JsonNode stride = node.get("strideField");
    String type = node.get("typeField").asText();
    int[] realShape = new int[rank];
    int[] realStride = new int[rank];
    DataBuffer buff = Nd4j.createBuffer(numElements);
    for (int i = 0; i < numElements; i++) {
        buff.put(i, arr.get(i).asDouble());
    }

    String ordering = node.get("orderingField").asText();
    for (int i = 0; i < rank; i++) {
        realShape[i] = shape.get(i).asInt();
        realStride[i] = stride.get(i).asInt();
    }

    INDArray ret = type.equals("real") ? Nd4j.create(buff, realShape, realStride, offset, ordering.charAt(0))
                    : Nd4j.createComplex(buff, realShape, realStride, offset, ordering.charAt(0));
    return ret;
}
 

@Override
public INDArray deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)
                throws IOException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    if (node == null)
        return null;
    int size = node.size();
    double[] d = new double[size];
    for (int i = 0; i < size; i++) {
        d[i] = node.get(i).asDouble();
    }

    return Nd4j.create(d);
}
 

@Override
public TDigest deserialize(JsonParser jp, DeserializationContext d) throws IOException, JsonProcessingException {
    JsonNode node = (JsonNode)jp.getCodec().readTree(jp);
    String field = node.get("digest").asText();
    Base64 b = new Base64();
    byte[] bytes = b.decode(field);
    try(ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(bytes))){
        return (TDigest) ois.readObject();
    } catch (Exception e){
        throw new RuntimeException("Error deserializing TDigest object from JSON", e);
    }
}
 

@Override
public Point deserialize(JsonParser jp, DeserializationContext dc) throws IOException, JsonProcessingException {
    JsonNode n = jp.getCodec().readTree(jp);
    String lbl = n.has("label") ? n.get("label").textValue() : null;
    Double prob = n.has("probability") ? n.get("probability").doubleValue() : null;
    ArrayNode cn = (ArrayNode)n.get("coords");
    double[] pts = new double[cn.size()];
    for( int i=0; i<pts.length; i++ ){
        pts[i] = cn.get(i).doubleValue();
    }
    return new NDPoint(pts, lbl, prob);
}
 

protected ValueType nodeType(JsonNode n){
    if (n.isTextual()) {                     //String
        return ValueType.STRING;
    } else if (n.isDouble()) {               //Double
        return ValueType.DOUBLE;
    } else if (n.isInt() || n.isLong()) {   //Long
        return ValueType.INT64;
    } else if (n.isBoolean()) {              //Boolean
        return ValueType.BOOLEAN;
    } else if (n.isArray()){
        return ValueType.LIST;
    } else if (n.isObject()) {
        //Could be: Bytes, image, NDArray, BoundingBox, Point or Data
        if (n.has(Data.RESERVED_KEY_BYTES_BASE64)) {
            return ValueType.BYTES;
        } else if (n.has(Data.RESERVED_KEY_BYTES_ARRAY)) {
            return ValueType.BYTES;
        } else if (n.has(Data.RESERVED_KEY_NDARRAY_TYPE)) {
            //NDArray
            return ValueType.NDARRAY;
        } else if (n.has(Data.RESERVED_KEY_IMAGE_DATA)) {
            //Image
            return ValueType.IMAGE;
        } else if(n.has(Data.RESERVED_KEY_BB_CX) || n.has(Data.RESERVED_KEY_BB_X1)){
            return ValueType.BOUNDING_BOX;
        } else if(n.has(Data.RESERVED_KEY_POINT_COORDS)){
            return ValueType.POINT;
        } else {
            //Must be data
            return ValueType.DATA;
        }
    } else {
        throw new UnsupportedOperationException("Type not yet implemented");
    }
}
 

@Override
public StorageLevel deserialize(JsonParser jsonParser, DeserializationContext deserializationContext)
                throws IOException, JsonProcessingException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    String value = node.textValue();
    if (value == null || "null".equals(value)) {
        return null;
    }
    return StorageLevel.fromString(value);
}
 

public static BoundingBox deserializeBB(JsonNode n2){
    String label = null;
    Double prob = null;
    if(n2.has("label") ){
        label = n2.get("label").textValue();
    } else if(n2.has("@label")){
        label = n2.get("@label").textValue();
    }

    if(n2.has("probability")){
        prob = n2.get("probability").doubleValue();
    } else if(n2.has("@probability")){
        prob = n2.get("@probability").doubleValue();
    }


    if(n2.has(Data.RESERVED_KEY_BB_CX)){
        double cx = n2.get(Data.RESERVED_KEY_BB_CX).doubleValue();
        double cy = n2.get(Data.RESERVED_KEY_BB_CY).doubleValue();
        double h = n2.get(Data.RESERVED_KEY_BB_H).doubleValue();
        double w = n2.get(Data.RESERVED_KEY_BB_W).doubleValue();
        return BoundingBox.create(cx, cy, h, w, label, prob);
    } else {
        double x1 = n2.get(Data.RESERVED_KEY_BB_X1).doubleValue();
        double x2 = n2.get(Data.RESERVED_KEY_BB_X2).doubleValue();
        double y1 = n2.get(Data.RESERVED_KEY_BB_Y1).doubleValue();
        double y2 = n2.get(Data.RESERVED_KEY_BB_Y2).doubleValue();
        return BoundingBox.createXY(x1, x2, y1, y2, label, prob);
    }
}
 

protected Image deserializeImage(JsonNode n2){
    String format = n2.get(Data.RESERVED_KEY_IMAGE_FORMAT).textValue();
    if(!"PNG".equalsIgnoreCase(format)){
        throw new UnsupportedOperationException("Deserialization of formats other than PNG not yet implemented");
    }
    String base64Data = n2.get(Data.RESERVED_KEY_IMAGE_DATA).textValue();
    byte[] bytes = Base64.getDecoder().decode(base64Data);
    Png png = new Png(bytes);
    return Image.create(png);
}
 

protected NDArray deserializeNDArray(JsonNode n){
    NDArrayType type = NDArrayType.valueOf(n.get(Data.RESERVED_KEY_NDARRAY_TYPE).textValue());
    ArrayNode shapeNode = (ArrayNode) n.get(Data.RESERVED_KEY_NDARRAY_SHAPE);
    long[] shape = new long[shapeNode.size()];
    for (int i = 0; i < shape.length; i++)
        shape[i] = shapeNode.get(i).asLong();
    String base64 = n.get(Data.RESERVED_KEY_NDARRAY_DATA_BASE64).textValue();
    byte[] bytes = Base64.getDecoder().decode(base64);
    ByteBuffer bb = ByteBuffer.wrap(bytes);
    SerializedNDArray ndArray = new SerializedNDArray(type, shape, bb);
    return NDArray.create(ndArray);
}
 

@Override
public RealDistribution deserialize(JsonParser p, DeserializationContext ctxt)
                throws IOException, JsonProcessingException {
    JsonNode node = p.getCodec().readTree(p);
    String simpleName = node.get("distribution").asText();

    switch (simpleName) {
        case "BetaDistribution":
            return new BetaDistribution(node.get("alpha").asDouble(), node.get("beta").asDouble());
        case "CauchyDistribution":
            return new CauchyDistribution(node.get("median").asDouble(), node.get("scale").asDouble());
        case "ChiSquaredDistribution":
            return new ChiSquaredDistribution(node.get("dof").asDouble());
        case "ExponentialDistribution":
            return new ExponentialDistribution(node.get("mean").asDouble());
        case "FDistribution":
            return new FDistribution(node.get("numeratorDof").asDouble(), node.get("denominatorDof").asDouble());
        case "GammaDistribution":
            return new GammaDistribution(node.get("shape").asDouble(), node.get("scale").asDouble());
        case "LevyDistribution":
            return new LevyDistribution(node.get("mu").asDouble(), node.get("c").asDouble());
        case "LogNormalDistribution":
            return new LogNormalDistribution(node.get("scale").asDouble(), node.get("shape").asDouble());
        case "NormalDistribution":
            return new NormalDistribution(node.get("mean").asDouble(), node.get("stdev").asDouble());
        case "ParetoDistribution":
            return new ParetoDistribution(node.get("scale").asDouble(), node.get("shape").asDouble());
        case "TDistribution":
            return new TDistribution(node.get("dof").asDouble());
        case "TriangularDistribution":
            return new TriangularDistribution(node.get("a").asDouble(), node.get("b").asDouble(),
                            node.get("c").asDouble());
        case "UniformRealDistribution":
            return new UniformRealDistribution(node.get("lower").asDouble(), node.get("upper").asDouble());
        case "WeibullDistribution":
            return new WeibullDistribution(node.get("alpha").asDouble(), node.get("beta").asDouble());
        case "LogUniformDistribution":
            return new LogUniformDistribution(node.get("min").asDouble(), node.get("max").asDouble());
        default:
            throw new RuntimeException("Unknown or not supported distribution: " + simpleName);
    }


}
 

/**
 * Handle {@link WeightInit} and {@link Distribution} from legacy configs in Json format. Copied from handling of {@link Activation}
 * above.
 * @return True if all is well and layer iteration shall continue. False else-wise.
 */
private static void handleLegacyWeightInitFromJson(String json, Layer layer, ObjectMapper mapper, JsonNode vertices) {
    if (layer instanceof BaseLayer && ((BaseLayer) layer).getWeightInitFn() == null) {
        String layerName = layer.getLayerName();

        try {
            if (vertices == null) {
                JsonNode jsonNode = mapper.readTree(json);
                vertices = jsonNode.get("vertices");
            }

            JsonNode vertexNode = vertices.get(layerName);
            JsonNode layerVertexNode = vertexNode.get("LayerVertex");
            if (layerVertexNode == null || !layerVertexNode.has("layerConf")
                    || !layerVertexNode.get("layerConf").has("layer")) {
                return;
            }
            JsonNode layerWrapperNode = layerVertexNode.get("layerConf").get("layer");

            if (layerWrapperNode == null || layerWrapperNode.size() != 1) {
                return;
            }

            JsonNode layerNode = layerWrapperNode.elements().next();
            JsonNode weightInit = layerNode.get("weightInit"); //Should only have 1 element: "dense", "output", etc
            JsonNode distribution = layerNode.get("dist");

            Distribution dist = null;
            if(distribution != null) {
                dist = mapper.treeToValue(distribution, Distribution.class);
            }

            if (weightInit != null) {
                final IWeightInit wi = WeightInit.valueOf(weightInit.asText()).getWeightInitFunction(dist);
                ((BaseLayer) layer).setWeightInitFn(wi);
            }

        } catch (IOException e) {
            log.warn("Layer with null ActivationFn field or pre-0.7.2 activation function detected: could not parse JSON",
                    e);
        }
    }
}
 

/**
 * Handle {@link WeightInit} and {@link Distribution} from legacy configs in Json format. Copied from handling of {@link Activation}
 * above.
 * @return True if all is well and layer iteration shall continue. False else-wise.
 */
private static boolean handleLegacyWeightInitFromJson(String json, Layer l, ObjectMapper mapper, JsonNode confs, int layerCount) {
    if ((l instanceof BaseLayer) && ((BaseLayer) l).getWeightInitFn() == null) {
        try {
            JsonNode jsonNode = mapper.readTree(json);
            if (confs == null) {
                confs = jsonNode.get("confs");
            }
            if (confs instanceof ArrayNode) {
                ArrayNode layerConfs = (ArrayNode) confs;
                JsonNode outputLayerNNCNode = layerConfs.get(layerCount);
                if (outputLayerNNCNode == null)
                    return false; //Should never happen...
                JsonNode layerWrapperNode = outputLayerNNCNode.get("layer");

                if (layerWrapperNode == null || layerWrapperNode.size() != 1) {
                    return true;
                }

                JsonNode layerNode = layerWrapperNode.elements().next();
                JsonNode weightInit = layerNode.get("weightInit"); //Should only have 1 element: "dense", "output", etc
                JsonNode distribution = layerNode.get("dist");

                Distribution dist = null;
                if(distribution != null) {
                    dist = mapper.treeToValue(distribution, Distribution.class);
                }

                if (weightInit != null) {
                    final IWeightInit wi = WeightInit.valueOf(weightInit.asText()).getWeightInitFunction(dist);
                    ((BaseLayer) l).setWeightInitFn(wi);
                }
            }

        } catch (IOException e) {
            log.warn("Layer with null WeightInit detected: " + l.getLayerName() + ", could not parse JSON",
                    e);
        }
    }
    return true;

}
 

@Override
public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException {
    JsonNode node = jp.getCodec().readTree(jp);
    String field = node.get("array").asText();
    return Nd4jBase64.fromBase64(field);
}
 

@Override
public BoundingBox deserialize(JsonParser jp, DeserializationContext dc) throws IOException, JsonProcessingException {
    JsonNode n = jp.getCodec().readTree(jp);
    return DataJsonDeserializer.deserializeBB(n);
}
 

@Override
public INDArray deserialize(JsonParser jp, DeserializationContext deserializationContext) throws IOException {
    JsonNode n = jp.getCodec().readTree(jp);
    return deserialize(n);
}
 

@Override
public AtomicBoolean deserialize(JsonParser jsonParser, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    boolean value = node.asBoolean();
    return new AtomicBoolean(value);
}
 

@Override
public AtomicDouble deserialize(JsonParser jsonParser, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    double value = node.asDouble();
    return new AtomicDouble(value);
}
 

private static DataAnalysis fromMapper(ObjectMapper om, String json) {

        List<ColumnMetaData> meta = new ArrayList<>();
        List<ColumnAnalysis> analysis = new ArrayList<>();
        try {
            JsonNode node = om.readTree(json);
            Iterator<String> fieldNames = node.fieldNames();
            boolean hasDataAnalysis = false;
            while (fieldNames.hasNext()) {
                if ("DataAnalysis".equals(fieldNames.next())) {
                    hasDataAnalysis = true;
                    break;
                }
            }
            if (!hasDataAnalysis) {
                throw new RuntimeException();
            }

            ArrayNode arrayNode = (ArrayNode) node.get("DataAnalysis");
            for (int i = 0; i < arrayNode.size(); i++) {
                JsonNode analysisNode = arrayNode.get(i);
                String name = analysisNode.get(COL_NAME).asText();
                int idx = analysisNode.get(COL_IDX).asInt();
                ColumnType type = ColumnType.valueOf(analysisNode.get(COL_TYPE).asText());

                JsonNode daNode = analysisNode.get(ANALYSIS);
                ColumnAnalysis dataAnalysis = om.treeToValue(daNode, ColumnAnalysis.class);

                if (type == ColumnType.Categorical) {
                    ArrayNode an = (ArrayNode) analysisNode.get(CATEGORICAL_STATE_NAMES);
                    List<String> stateNames = new ArrayList<>(an.size());
                    Iterator<JsonNode> iter = an.elements();
                    while (iter.hasNext()) {
                        stateNames.add(iter.next().asText());
                    }
                    meta.add(new CategoricalMetaData(name, stateNames));
                } else {
                    meta.add(type.newColumnMetaData(name));
                }

                analysis.add(dataAnalysis);
            }
        } catch (Exception e) {
            throw new RuntimeException(e);
        }

        Schema schema = new Schema(meta);
        return new DataAnalysis(schema, analysis);
    }
 

@Override
public AtomicBoolean deserialize(JsonParser jsonParser, DeserializationContext deserializationContext) throws IOException, JsonProcessingException {
    JsonNode node = jsonParser.getCodec().readTree(jsonParser);
    boolean value = node.asBoolean();
    return new AtomicBoolean(value);
}