TFE_Op* op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors,
    TF_ShapeAndTypeList* input_tensor_as_shapes,
    TF_ShapeAndTypeList** input_resource_shapes_and_types,
    TF_ShapeAndTypeList** output_shapes,
    TF_ShapeAndTypeList*** output_resource_shapes_and_types, TF_Status* status);

TF_CAPI_EXPORT extern void
TF_ImportGraphDefOptionsSetValidateColocationConstraints(

                    MojoNotFoundException, InvalidPluginDescriptorException {
        /*
         * Initialize mapping from lifecycle phase to bound mojos. The key set of this map denotes the phases the caller
         * is interested in, i.e. all phases up to and including the specified phase.
         */

        Map<String, Map<Integer, List<MojoExecution>>> mappings = new LinkedHashMap<>();

We have a lifecycle mapping for the packaging of *jar* below. You see that for this packaging we have a *default* lifecycle and a list of phases where each phase is a comma separated list of goals to run and they are in the form groupId:artifactId:version.

<configuration>
  <lifecycles>
    <lifecycle>
      <id>default</id>
      <phases>
        <process-resources>org.apache.maven.plugins:maven-resources-plugin:resources</process-resources>

        }

        try ( SmbTreeHandleImpl th = ensureTreeConnected() ) {
            // should not normally be required, but samba without NTStatus does not properly resolve the path and fails
            // with
            // STATUS_UNSUCCESSFUL
            exists();
            // get the path again, this may have changed through DFS referrals

void TFE_InferShapes(TFE_Op* tfe_op, TF_ShapeAndTypeList* input_shapes,
                     TF_Tensor** input_tensors,
                     TF_ShapeAndTypeList* input_tensors_as_shapes,
                     TF_ShapeAndTypeList** input_resource_shapes_and_types,
                     TF_ShapeAndTypeList** output_shapes,
                     TF_ShapeAndTypeList*** output_resource_shapes_and_types,
                     TF_Status* status) {

                    /*input_tensors_as_shapes*/ nullptr,
                    /*input_resource_shapes_and_types*/ nullptr, &output_shapes,
                    /*output_resource_shapes_and_types*/ nullptr, status_);
    CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);
    CHECK_EQ(output_shapes->num_items, 1);

    int num_dims = output_shapes->items[0].num_dims;
    int64_t* dims = output_shapes->items[0].dims;

            want to analyze the set of transitive dependencies, in particular during early lifecycle phases where
            full dependency resolution might fail due to projects which haven't been built yet.
          </description>
        </field>
        <field>
          <name>dependencyCollection</name>
          <version>2.0.0+</version>

			return
		}
		sz := d.sizeRecursive(path.Key())
		leaves = append(leaves, struct {
			objects uint64
			path    dataUsageHash
		}{objects: sz.Objects, path: path})
		for ch := range e.Children {
			add(dataUsageHash(ch))
		}
	}

	// Add path recursively.
	add(path)
	sort.Slice(leaves, func(i, j int) bool {
		return leaves[i].objects < leaves[j].objects
	})
	for remove > 0 && len(leaves) > 0 {

@Singleton
public final class SiteLifecycleProvider extends AbstractLifecycleProvider {
    static final String LIFECYCLE_ID = "site";

    // START SNIPPET: site
    private static final String[] PHASES = {"pre-site", "site", "post-site", "site-deploy"};

    private static final String MAVEN_SITE_PLUGIN_VERSION = "3.12.1";

    private static final String[] BINDINGS = {

  // device. If is_async=false (constructor argument) this means the ops have
  // run and have results. If is_async=true it means that all of the
  // device-specific executors have scheduled the op.
  //
  // Accepts inferred shapes for outputs (`expected_output_shapes`), which if
  // fully defined will avoid querying the shapes of the underlying
  // TensorHandles when ParallelTensor::Shape is called. This allows async