*   <li>Retrieval of the specific version of the toolchain.</li>
 *   <li>Configuration of toolchain properties to match the project's requirements.</li>
 * </ul>
 *
 * <p>Example usage:</p>
 * <pre>
 * Toolchain toolchain = ...; // Obtain a Toolchain instance
 * String type = toolchain.getType(); // Get the type of the toolchain
 * String version = toolchain.getVersion(); // Get the version of the toolchain
 * </pre>
 *
 *

import org.apache.maven.artifact.versioning.VersionRange;

/**
 * Maven Artifact interface. Notice that it mixes artifact definition concepts (groupId, artifactId, version)
 * with dependency information (version range, scope).
 */
public interface Artifact extends Comparable<Artifact> {

    @Deprecated(since = "4.0.0")
    String RELEASE_VERSION = "RELEASE";

    @Deprecated(since = "4.0.0")

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

To update the lock files, make sure

	Size      int64
	Objects   uint64
	Versions  uint64 // Versions that are not delete markers.
	ObjSizes  sizeHistogram
	Compacted bool
}

//msgp:tuple dataUsageEntryV6
type dataUsageEntryV6 struct {
	Children dataUsageHashMap
	// These fields do no include any children.
	Size      int64
	Objects   uint64
	Versions  uint64 // Versions that are not delete markers.
	ObjSizes  sizeHistogram

}

// DeleteVersions deletes slice of versions, it can be same object
// or multiple objects.
func (p *xlStorageDiskIDCheck) DeleteVersions(ctx context.Context, volume string, versions []FileInfoVersions, opts DeleteOptions) (errs []error) {
	// Merely for tracing storage
	path := ""
	if len(versions) > 0 {
		path = versions[0].Name
	}
	errs = make([]error, len(versions))

  <groupId>ut.simple</groupId>
  <artifactId>artifact</artifactId>
  <versioning>
    <latest>1.0</latest>
    <release>1.0</release>
    <versions>
      <version>1.0</version>
    </versions>
    <lastUpdated>20111123122038</lastUpdated>
  </versioning>

   
   **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**
   
   
   Make sure you are using compatible TF and CUDA versions.
   Please refer following TF version and CUDA version compatibility table.
   
   | TF  | CUDA |
   
   | :-------------: | :-------------: |
   
   | 2.5.0  | 11.2 |
   
   | 2.4.0  | 11.0 |
   
   | 2.1.0 - 2.3.0  | 10.1 |

    public List<String> findVersions(Artifact artifact) {
        Collection<String> versions = new LinkedHashSet<>();

        if (buildReactor != null) {
            versions.addAll(buildReactor.findVersions(artifact));
        }

        if (ideWorkspace != null) {
            versions.addAll(ideWorkspace.findVersions(artifact));
        }

        versions.addAll(userLocalArtifactRepository.findVersions(artifact));

	DeleteMarker ExpireDeleteMarker `xml:"ExpiredObjectDeleteMarker"`
	// Indicates whether MinIO will remove all versions. If set to true, all versions will be deleted;
	// if set to false the policy takes no action. This action uses the Days/Date to expire objects.
	// This check is verified for latest version of the object.
	DeleteAll Boolean `xml:"ExpiredObjectAllVersions"`

	set bool
}

     */
    @Nonnull
    Version getVersion();

    /**
     * {@return the version or meta-version of the artifact}.
     * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.
     * Meta-versions are represented in a base version by their symbols (e.g., {@code SNAPSHOT}),
     * while they are replaced by, for example, the actual timestamp in the {@linkplain #getVersion() version}.
     */
    @Nonnull