// Attempts to look up the tensor named "name" and stores the found result in
  // "out_tensor".
  void GetTensor(const string& name,
                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;

 private:
  // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type"
  // maps; both owned by caller.

     */
    private final Class<?> targetClass;

    /**
     * The name of the field.
     */
    private final String fieldName;

    /**
     * Creates a {@link FieldNotFoundRuntimeException}.
     *
     * @param targetClass
     *            Target class
     * @param fieldName
     *            Field name
     */

    @Override
    public Object getImmediateNode() {
        return attrib;
    }

    @Override
    public int getLength() {
        return 1;
    }

    @Override
    public QName getName() {
        return new QName(null, attrib.getKey());
    }

    @Override
    public boolean isActual() {
        return true;
    }

    @Override
    public boolean isCollection() {
        return false;

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: Optional[str] = None


app = FastAPI()


@app.post("/items/")
def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> list[Item]:
    return [
        Item(
            name="Portal Gun",
            description="Device to travel through the multi-rick-verse",

 * <li>{@link #client} - OpenSearch client.
 * <li>{@link #index} - Index name.
 * <li>{@link #settings} - Suggest settings.
 * <li>{@link #supportedFields} - Supported fields for suggestions.
 * <li>{@link #tagFieldNames} - Tag field names.
 * <li>{@link #roleFieldName} - Role field name.
 * <li>{@link #langFieldName} - Language field name.
 * <li>{@link #badWords} - List of bad words.

        return Stream.of(Arguments.of((String) null), Arguments.of(""), Arguments.of("unexpected downgrade"));
    }

    @Test
    @DisplayName("Default ctor: null message/cause; toString is class name; type hierarchy")
    void defaultConstructor_hasNullMessageAndCause_andTypeHierarchy() {
        // Arrange & Act
        SMBProtocolDowngradeException ex = new SMBProtocolDowngradeException();

        // toString should include the class name and the message
        String ts = ex.toString();
        assertTrue(ts.contains("SmbUnsupportedOperationException"), "toString should contain class name");
        assertTrue(ts.contains(ex.getMessage()), "toString should contain the detail message");
    }

    @ParameterizedTest(name = "Message preserved: [{0}]")
    @MethodSource("messages")

                    final String name = names.nextElement();
                    if (name.startsWith(prefix)) {
                        final String[] values = request.getParameterValues(name);
                        if (values != null) {
                            for (final String value : values) {
                                buf.append("<input type=\"hidden\" name=\"");

				return
			}
		case "Type":
			z.Type, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Type")
				return
			}
		case "Name":
			z.Name, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Name")
				return
			}
		case "Purge":
			var zb0004 uint32
			zb0004, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "Purge")

                                                   const char* name) {
  const auto& m = reader->GetVariableToDataTypeMap();
  return static_cast<TF_DataType>(m.at(name));
}

TF_Tensor* TF_CheckpointReaderGetTensor(TF_CheckpointReader* reader,
                                        const char* name, TF_Status* status) {
  std::unique_ptr<tensorflow::Tensor> tensor;
  reader->GetTensor(name, &tensor, status);