<bomDescription>Bill Of Materials for Apache Maven - Maven JARS only</bomDescription>
              <outputFilename>maven-skinny-bom.xml</outputFilename>
              <reactorDependencies>REACTOR</reactorDependencies>
              <transitiveDependencies>NONE</transitiveDependencies>
              <usePropertiesForVersion>true</usePropertiesForVersion>
              <attach>true</attach>
            </configuration>

        List<ArtifactRepository> pomRepositories = null;

        Artifact pomArtifact;

        Artifact relocatedArtifact = null;

        // TODO hack: don't rebuild model if it was already loaded during reactor resolution
        RepositorySystemSession repositorySession = legacySupport.getRepositorySession();
        final WorkspaceReader workspace = repositorySession.getWorkspaceReader();
        Model model;

     */
    @Nonnull
    default String getId() {
        return getModel().getId();
    }

    /**
     * Returns a boolean indicating if the project is the top level project for
     * this reactor build.  The top level project may be different from the
     * {@code rootDirectory}, especially if a subtree of the project is being
     * built, either because Maven has been launched in a subdirectory or using

 * href="https://github.com/ReactiveX/RxAndroid">RxAndroid</a> extension if you are building for
 * Android) or <a href="https://projectreactor.io/">Project Reactor</a>. (For the basics of
 * translating code from using an event bus to using a reactive-streams framework, see these two
 * guides: <a href="https://blog.jkl.gg/implementing-an-event-bus-with-rxjava-rxbus/">1</a>, <a

    /**
     * User property for overriding calculated "build number" for snapshot deploys. Caution: this property should
     * be RARELY used (if used at all). It may help in special cases like "aligning" a reactor build subprojects
     * build numbers to perform a "snapshot lock down". Value given here must be <code>maxRemoteBuildNumber + 1</code>

	VFWCVTXUFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTXFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTRTZXUFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTRTZXFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTFXUV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTFXV	X10, V3				// ERROR "expected vector register in vs2 position"

	return 0
}

// term = factor | factor ('*' | '/' | '%' | '>>' | '<<' | '&') factor
func (p *Parser) term() uint64 {
	value := p.factor()
	for {
		switch p.peek() {
		case '*':
			p.next()
			value *= p.factor()
		case '/':
			p.next()
			if int64(value) < 0 {
				p.errorf("divide of value with high bit set")
			}
			divisor := p.factor()
			if divisor == 0 {

  if (!status->status.ok()) return;

  // Initialize a input_tensor vector with `nullptr` values.
  std::vector<const Tensor*> input_tensors_vector(num_inputs, nullptr);
  // A vector to keep track of newly created `tf::Tensor` objects.
  std::vector<Tensor> all_input_tensors;
  // Update the vector with information from `input_tensors` if provided.
  if (input_tensors != nullptr) {

	VWSUBWX		X10, V2, V4, V3			// ERROR "invalid vector mask register"
	VWCVTXXV	V2, V1, V3			// ERROR "invalid vector mask register"
	VWCVTUXXV	V2, V1, V3			// ERROR "invalid vector mask register"
	VZEXTVF2	V2, V3, V4			// ERROR "invalid vector mask register"
	VSEXTVF2	V2, V3, V4			// ERROR "invalid vector mask register"
	VZEXTVF4	V2, V3, V4			// ERROR "invalid vector mask register"

  // Process inputs.
  std::vector<tensorflow::OutputTensor> input_tensors;
  std::unordered_map<const Node*, std::vector<int>> input_nodes;
  status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs,
                                             &input_tensors, &input_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Process outputs.
  std::vector<tensorflow::OutputTensor> output_tensors;