Si vous avez une version plus ancienne, vous obtiendrez des erreurs en essayant d'utiliser `Annotated`.

Assurez-vous de [Mettre à jour la version de FastAPI](../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} à la version 0.95.1 à minima avant d'utiliser `Annotated`.

///

## Déclarer des métadonnées

Vous pouvez déclarer les mêmes paramètres que pour `Query`.

Se você tiver uma versão mais antiga, verá erros ao tentar usar `Annotated`.

Certifique-se de [Atualizar a versão do FastAPI](../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} para pelo menos 0.95.1 antes de usar `Annotated`.

///

## Declare metadados { #declare-metadata }

Você pode declarar todos os mesmos parâmetros que em `Query`.

  * También puedes agregar [dependencias de `Security` con `scopes`](../advanced/security/oauth2-scopes.md){.internal-link target=_blank}.

/// tip | Consejo

}

func isReplicationPermissionCheck(err error) bool {
	_, ok := err.(ReplicationPermissionCheck)
	return ok
}

// DataMovementOverwriteErr - captures the error when a data movement activity
// like rebalance incorrectly tries to overwrite an object.
type DataMovementOverwriteErr GenericError

func (de DataMovementOverwriteErr) Error() string {
	objInfoStr := fmt.Sprintf("bucket=%s object=%s", de.Bucket, de.Object)

	migrateTarget *Target

	// Number of events per HTTP send to webhook target
	// this is ideally useful only if your endpoint can
	// support reading multiple events on a stream for example
	// like : Splunk HTTP Event collector, if you are unsure
	// set this to '1'.
	batchSize   int
	payloadType string

	// store to persist and replay the logs to the target
	// to avoid missing events when the target is down.

2018/12/26 17:49:36 listening on http://localhost:8080/
```

> NOTE: for a reasonable test outcome, make sure the assumed user has at least permission/policy to list all buckets. That policy would look like below:

```
{
  "version": "2012-10-17",
  "statement": [
    {
      "effect": "Allow",
      "action": [
        "s3:ListAllMyBuckets"
      ],
      "resource": [

- **Security:**
Java serialization poses security risks, especially related to deserialization vulnerabilities.

- **Version Compatibility:**
With Java serialization, even minor changes to a class (like adding a field) can break compatibility.

- **Cross-Language Compatibility:**
Java serialization is inherently Java-centric and does not support cross-language scenarios well.

- **Type Safety:**

2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```

import java.util.Objects;

import org.apache.maven.artifact.repository.metadata.Metadata;
import org.apache.maven.metadata.v4.MetadataStaxReader;

/**
 * Handles deserialization of metadata from some kind of textual format like XML.
 *
 */
@Named
@Singleton
public class DefaultMetadataReader implements MetadataReader {

    @Override
    public Metadata read(File input, Map<String, ?> options) throws IOException {

     */
    File getPomFile();

    /**
     * Gets the project that was built.
     *
     * @return The project that was built or {@code null} if an error occurred and this result accompanies a
     *         {@link ProjectBuildingException}.
     */
    MavenProject getProject();

    /**
     * Gets the problems that were encountered during the project building.
     *