* undergone any updates by the model builder, e.g. reflects neither inheritance nor interpolation.
     *
     * @return The raw model, never {@code null}.
     */
    Model getRawModel();

    /**
     * Gets the specified raw model as it was read from a model source. Apart from basic validation, a raw model has not

Guava, the best approach is to create an [issue][] (or comment on an existing
issue if there is one) requesting the feature and describing specific use cases
for it.

If the feature has merit, it will go through a thorough process of API design
and review. Any code should come after this.

[APIs]: https://en.wikipedia.org/wiki/Application_programming_interface
[issue]: https://github.com/google/guava/issues

       actually changes the test classpath itself. This means that it
       can"t benefit from incremental build acceleration, because on every
       execution it sees that the classpath has changed, and so to be
       safe, it needs to re-run.

       - This is unfortunate, because actually it would be safe to declare
       the task as up-to-date, because these two files, which are based on

):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

libcudnn9-dev-cuda-12=9.1.1.17-1
libcudnn9-cuda-12=9.1.1.17-1

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

     */
    @Deprecated
    @Override
    public void setLog(Log log) {
        this.log = log;
    }

    /**
     * <p>
     * Returns the logger that has been injected into this mojo. If no logger has been setup yet, a
     * <code>SystemStreamLog</code> logger will be created and returned.
     * </p>
     * <strong>Note:</strong>

### Choosing between application and network interceptors

Each interceptor chain has relative merits.

**Application interceptors**

  TFE_DeleteOp(op);
  TF_DeleteStatus(status);
}

void TestRemoteExecuteChangeServerDef(bool async) {
  tensorflow::ServerDef server_def = GetServerDef(2);

  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();

  server_def.set_task_index(1);

  std::unique_ptr<tensorflow::GrpcServer> worker_server;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(

		bucketName         string
		objectToUploads    []objectUpload
		pathToDelete       string
		objectsAfterDelete []string
	}{
		// Test 1: removes an object and checks it is the only object
		// that has been deleted.
		{
			"bucket1",
			[]objectUpload{{"object0", "content"}, {"object1", "content"}},
			"object0",
			[]string{"object1"},
		},
		// Test 2: remove an object inside a directory and checks it is deleted

Puedes continuar usando la mayoría de las características de **FastAPI** con el conocimiento del [Tutorial - Guía de Usuario](../tutorial/index.md){.internal-link target=_blank} principal.