use of com.yahoo.document.TensorDataType in project vespa by vespa-engine.
the class TensorFieldProcessor method process.
@Override
public void process(boolean validate) {
if (!validate)
return;
for (SDField field : search.allConcreteFields()) {
if (field.getDataType() instanceof TensorDataType) {
validateIndexingScripsForTensorField(field);
validateAttributeSettingForTensorField(field);
} else if (field.getDataType() instanceof CollectionDataType) {
validateDataTypeForCollectionField(field);
}
}
}
use of com.yahoo.document.TensorDataType in project vespa by vespa-engine.
the class TensorFieldValueSerializationTestCase method createDocType.
private static DocumentType createDocType() {
DocumentType type = new DocumentType("my_type");
type.addField(TENSOR_FIELD, new TensorDataType(tensorType));
return type;
}
use of com.yahoo.document.TensorDataType in project vespa by vespa-engine.
the class JsonWriterTestCase method registerTensorDocumentType.
private void registerTensorDocumentType() {
DocumentType x = new DocumentType("testtensor");
TensorType tensorType = new TensorType.Builder().mapped("x").mapped("y").build();
x.addField(new Field("tensorfield", new TensorDataType(tensorType)));
types.registerDocumentType(x);
}
use of com.yahoo.document.TensorDataType in project vespa by vespa-engine.
the class JsonReaderTestCase method setUp.
@Before
public void setUp() throws Exception {
parserFactory = new JsonFactory();
types = new DocumentTypeManager();
{
DocumentType x = new DocumentType("smoke");
x.addField(new Field("something", DataType.STRING));
x.addField(new Field("nalle", DataType.STRING));
x.addField(new Field("int1", DataType.INT));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("mirrors");
StructDataType woo = new StructDataType("woo");
woo.addField(new Field("sandra", DataType.STRING));
woo.addField(new Field("cloud", DataType.STRING));
x.addField(new Field("skuggsjaa", woo));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testarray");
DataType d = new ArrayDataType(DataType.STRING);
x.addField(new Field("actualarray", d));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testset");
DataType d = new WeightedSetDataType(DataType.STRING, true, true);
x.addField(new Field("actualset", d));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testmap");
DataType d = new MapDataType(DataType.STRING, DataType.STRING);
x.addField(new Field("actualmap", d));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testraw");
DataType d = DataType.RAW;
x.addField(new Field("actualraw", d));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testMapStringToArrayOfInt");
DataType value = new ArrayDataType(DataType.INT);
DataType d = new MapDataType(DataType.STRING, value);
x.addField(new Field("actualMapStringToArrayOfInt", d));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testsinglepos");
DataType d = PositionDataType.INSTANCE;
x.addField(new Field("singlepos", d));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testtensor");
x.addField(new Field("mappedtensorfield", new TensorDataType(new TensorType.Builder().mapped("x").mapped("y").build())));
x.addField(new Field("indexedtensorfield", new TensorDataType(new TensorType.Builder().indexed("x").indexed("y").build())));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testpredicate");
x.addField(new Field("boolean", DataType.PREDICATE));
types.registerDocumentType(x);
}
{
DocumentType x = new DocumentType("testint");
x.addField(new Field("integerfield", DataType.INT));
types.registerDocumentType(x);
}
}
use of com.yahoo.document.TensorDataType in project vespa by vespa-engine.
the class JsonWriterTestCase method testWritingOfTensorFieldValueWithoutTensor.
@Test
public void testWritingOfTensorFieldValueWithoutTensor() throws IOException {
DocumentType documentTypeWithTensor = types.getDocumentType("testtensor");
String docId = "id:unittest:testtensor::0";
Document doc = new Document(documentTypeWithTensor, docId);
Field tensorField = documentTypeWithTensor.getField("tensorfield");
doc.setFieldValue(tensorField, new TensorFieldValue(((TensorDataType) tensorField.getDataType()).getTensorType()));
assertEqualJson(asDocument(docId, "{ \"tensorfield\": {} }"), JsonWriter.toByteArray(doc));
}
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