"legendFormat": "{{ destination_workload}}.{{ destination_workload_namespace }}",
               "refId": "success"
            }
         ],
         "title": "HTTP/gRPC Workloads",
         "transformations": [
            {
               "id": "merge"
            }
         ],
         "type": "table"
      },
      {
         "datasource": {
            "type": "datasource",

import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**
 * A model building request that delegates all methods invocations to another request, meant for easy transformations by
 * subclassing.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
class FilterModelBuildingRequest implements ModelBuildingRequest {

      writeUtf8CodePoint(codePoint)
    }
    i += Character.charCount(codePoint)
  }
}

/**
 * Returns a substring of `input` on the range `[pos..limit)` with the following
 * transformations:
 *
 *  * Tabs, newlines, form feeds and carriage returns are skipped.
 *
 *  * In queries, ' ' is encoded to '+' and '+' is encoded to "%2B".
 *
 *  * Characters in `encodeSet` are percent-encoded.
 *

  // CustomDeviceOpHandler.
  virtual absl::Status RegisterCustomDevice(
      const string& name, std::unique_ptr<CustomDevice> device) = 0;

  // Return FunctionLibraryDefinition. Transformations need to use it to use it
  // to invoke MLIR compiler passes.
  virtual FunctionLibraryDefinition* FuncLibDef() = 0;

  // Resets the global rendezvous used for functions.

    MavenExecutionRequest addPluginArtifactRepository(ArtifactRepository repository);

    /**
     * Set a new list of remote repositories to use the execution request. This is necessary if you perform
     * transformations on the remote repositories being used. For example if you replace existing repositories with
     * mirrors then it's easier to just replace the whole list with a new list of transformed repositories.
     *

*   `tf.data`:

    *   Fixed a bug where setting `options.deterministic = False` would only
        modify one transformation to run non-deterministically, leaving other
        transformations deterministic. The option will now apply the same across
        all transformations.
    *   The optimization `parallel_batch` now becomes default if not disabled by
        users, which will parallelize copying of batch elements.

@Consumer
@Named
public interface ModelTransformer extends SpiService {

    /**
     * Apply a transformation on the file model.
     *
     * This method will be called on each file model being loaded,
     * just before validation.
     *
     * @param model the input model
     * @return the transformed model, or the input model if no transformation is needed
     * @throws ModelTransformerException
     */
    @Nonnull

    String ROLE = ArtifactTransformationManager.class.getName();

    /**
     * Take in an artifact and return the transformed artifact for locating in the remote repository. If no
     * transformation has occurred the original artifact is returned.
     *
     * @param artifact           Artifact to be transformed.
     * @param request the repositories to check
     */

                "We expected the release transformation and got " + tms.get(0));

        assertTrue(
                tms.get(1) instanceof LatestArtifactTransformation,
                "We expected the latest transformation and got " + tms.get(1));

        assertTrue(
                tms.get(2) instanceof SnapshotTransformation,
                "We expected the snapshot transformation and got " + tms.get(2));
    }

        this.algorithm = algorithm;
    }

    public String getTransformation() {
        return transformation;
    }

    public void setTransformation(final String transformation) {
        this.transformation = transformation;
    }

    public String getKey() {
        return key;
    }

    public void setKey(final String key) {
        this.key = key;