* Changes include renaming, creating, or deleting a file.
     */
    public static final int FILE_NOTIFY_CHANGE_FILE_NAME = 0x00000001;

    /**
     * Any directory-name change in the watched directory or subtree causes a change notification wait operation to
     * return. Changes include creating or deleting a directory.
     */

    *, route: routing.APIRoute, method: str, operation_ids: Set[str]
) -> Dict[str, Any]:
    operation: Dict[str, Any] = {}
    if route.tags:
        operation["tags"] = route.tags
    operation["summary"] = generate_operation_summary(route=route, method=method)
    if route.description:
        operation["description"] = route.description
    operation_id = route.operation_id or route.unique_id

	// * a boolean to indicate success/failure of the operation
	// * an error on failure of lock request operation.
	RLock(ctx context.Context, args LockArgs) (bool, error)

	// Do write lock for given LockArgs. It should return
	// * a boolean to indicate success/failure of the operation
	// * an error on failure of lock request operation.
	Lock(ctx context.Context, args LockArgs) (bool, error)

            Doc(
                """
                Custom operation ID to be used by this *path operation*.

                By default, it is generated automatically.

                If you provide a custom operation ID, you need to make sure it is
                unique for the whole API.

                You can customize the
                operation ID generation with the parameter

... das liegt daran, dass der Client-Generator für jede *Pfadoperation* die OpenAPI-interne **Operation-ID** verwendet.

OpenAPI erfordert, dass jede Operation-ID innerhalb aller *Pfadoperationen* eindeutig ist. Daher verwendet FastAPI den **Funktionsnamen**, den **Pfad** und die **HTTP-Methode/-Operation**, um diese Operation-ID zu generieren. Denn so kann sichergestellt werden, dass die Operation-IDs eindeutig sind.

// A TF_ExecutionContext stores knowledge about how to execute an operation.
// E.g. it could know whether we're in eager mode or graph mode, keeps track
// of gradient tapes, etc.
typedef struct TF_ExecutionContext TF_ExecutionContext;

// A TF_AbstractTensor is an input to an operation. E.g. it could be a union
// type of eager and graph tensors. It is also the result of executing an
// operation.
typedef struct TF_AbstractTensor TF_AbstractTensor;

It is the "**path operation decorator**".

///

You can also use the other operations:

* `@app.post()`
* `@app.put()`
* `@app.delete()`

And the more exotic ones:

* `@app.options()`
* `@app.head()`
* `@app.patch()`
* `@app.trace()`

/// tip

You are free to use each operation (HTTP method) as you wish.

```Python hl_lines="3  25"
{!../../docs_src/openapi_callbacks/tutorial001.py!}
```

### Create the callback *path operation*

To create the callback *path operation* use the same `APIRouter` you created above.

It should look just like a normal FastAPI *path operation*:

* It should probably have a declaration of the body it should receive, e.g. `body: InvoiceEvent`.

   *
   * @throws UnsupportedOperationException if this range set does not support the {@code add}
   *     operation
   */
  void add(Range<C> range);

  /**
   * Removes the specified range from this {@code RangeSet} (optional operation). After this
   * operation, if {@code range.contains(c)}, {@code this.contains(c)} will return {@code false}.
   *
   * <p>If {@code range} is empty, this is a no-op.

      @Override
      Object operate(Stream<?> stream) {
        return stream.parallel().reduce((a, b) -> b);
      }
    };

    abstract Object operate(Stream<?> stream);
  }

  @Param private Operation operation;

  Collection<Object> collection;

  @BeforeExperiment
  void setUp() {
    collection = source.supplier.get();
    for (int i = 0; i < size; i++) {
      collection.add(new Object());
    }
  }