public ClassDocSuperTypeBuilder(DslDocModel model, GenerationListener listener) {
        this.model = model;
        this.listener = listener;
    }

    /**
     * Builds and attaches the supertypes of the given class
     */
    void build(ClassDoc classDoc) {
        ClassMetaData classMetaData = classDoc.getClassMetaData();
        String superClassName = classMetaData.getSuperClassName();

        attachArtifact(project, artifact, path);
    }

    /**
     * Attaches a produced artifact to the project at the specified path. This is the base method
     * that the other attachArtifact methods delegate to.
     *
     * @param project the project to attach the artifact to
     * @param artifact the produced artifact to attach
     * @param path the path to the artifact file

// ControlPlaneOptions defines common options used by istioctl.
type ControlPlaneOptions struct {
	// Revision is the istio.io/rev control plane revision
	Revision string
}

// AttachControlPlaneFlags attaches control-plane flags to a Cobra command.
// (Currently just --revision)
func (o *ControlPlaneOptions) AttachControlPlaneFlags(cmd *cobra.Command) {
	cmd.PersistentFlags().StringVarP(&o.Revision, "revision", "r", "",

	Plaintext bool

	// GCP project number or ID to use for XDS calls, if any.
	GCPProject string

	// Istiod address. For MCP may be different than Xds.
	IstiodAddr string
}

// AttachControlPlaneFlags attaches control-plane flags to a Cobra command.
// (Currently just --endpoint)
func (o *CentralControlPlaneOptions) AttachControlPlaneFlags(cmd *cobra.Command) {

message VolumeAttachmentStatus {
  // attached indicates the volume is successfully attached.
  // This field must only be set by the entity completing the attach
  // operation, i.e. the external-attacher.
  optional bool attached = 1;

  // attachmentMetadata is populated with any
  // information returned by the attach operation, upon successful attach, that must be passed

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running

    # Return some error
    ...
```

But by using the `secrets.compare_digest()` it will be secure against a type of attacks called "timing attacks".

### Timing Attacks

But what's a "timing attack"?

Let's imagine some attackers are trying to guess the username and password.

And they send a request with a username `johndoe` and a password `love123`.

the problem. If possible, please share a link to or attach code demonstrating
the problem.

**Any other info / logs**
Include any logs or source code that would be helpful to diagnose the problem.
If including tracebacks, please include the full traceback. Large logs and files

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)

### 3. Configure `mc` and create another user user1 with attached policy user1policy

```
mc alias set myminio-admin1 http://localhost:9000 admin1 admin123 --api s3v4

mc admin user add myminio-admin1 user1 user123
mc admin policy attach myminio-admin1 user1policy ~/user1policy.json
mc admin policy attach myminio-admin1 user1policy --user=user1
```