preset.enable_full_int_quantization() ? ".*"
                                            : "^.*(dot_general|gather).*");
  spec.mutable_method()->mutable_static_range_ptq();

  return spec;
}

QuantizationSpec GetDefaultWeightOnlyPtqSpec() {
  QuantizationSpec spec{};
  spec.mutable_matcher()->mutable_function_name()->set_regex(
      "^.*(conv|dot_general).*");

  parameters[
    {"quantized_ops": ["Gather"]}
  ]
  func.func @GenerateQuantizedFunctionName(${quantized_ops})(
                         %weight : tensor<*xi8>, %input : tensor<*xi32>, %axis : tensor<i32>,
                         %weight_scale : tensor<*xf32>, %weight_zp : tensor<*xi32>) -> tensor<*xf32>
      attributes {tf_quant.quantized_ops = ${quantized_ops}}
  {
    %accum_out = "tf.GatherV2"(%weight, %input, %axis) {

		}
	}
	if w != nil {
		return w.Flush()
	}
	return nil
}

func (s *XdsStatusWriter) setupStatusPrint(drs map[string]*discovery.DiscoveryResponse) (*tabwriter.Writer, []*xdsWriterStatus, error) {
	// Gather the statuses before printing so they may be sorted
	var fullStatus []*xdsWriterStatus
	mappedResp := map[string]string{}
	w := new(tabwriter.Writer).Init(s.Writer, 0, 8, 5, ' ', 0)

        Configuration codeCoverageResultsConf = configurations.resolvable("aggregateCodeCoverageReportResults").get();
        codeCoverageResultsConf.setDescription("Resolvable configuration used to gather files for the JaCoCo coverage report aggregation via ArtifactViews, not intended to be used directly");
        codeCoverageResultsConf.extendsFrom(jacocoAggregation);
        codeCoverageResultsConf.setVisible(false);

### Zipkin

[Zipkin](https://zipkin.io/) is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.

  z = cond.cond(p, lambda: x, lambda: y)
  array_ops.identity(z, name='result')


def tfgather(_):
  params = array_ops.placeholder(dtypes.float32, name='params')
  indices = array_ops.placeholder(dtypes.int32, name='indices')
  array_ops.gather(params, indices, name='gather_output')


def tfmatmul(_):
  x = array_ops.placeholder(dtypes.float32, name='x_hold')

            CompletionService<ProjectSegment> service,
            TaskSegment taskSegment,
            Map<MavenProject, ProjectSegment> projectBuildList,
            ThreadOutputMuxer muxer) {
        // gather artifactIds which are not unique so that the respective thread names can be extended with the groupId
        Set<String> duplicateArtifactIds = projectBuildList.keySet().stream()
                .map(MavenProject::getArtifactId)

type DebugWriter struct {
	Writer                 io.Writer
	Namespace              string
	InternalDebugAllIstiod bool
}

func (s *DebugWriter) PrintAll(drs map[string]*discovery.DiscoveryResponse) error {
	// Gather the statuses before printing so they may be sorted
	mappedResp := map[string]string{}
	for id, dr := range drs {
		for _, resource := range dr.Resources {
			if s.InternalDebugAllIstiod {

	i := p.skipNop(uint32(p.Start))

	// Avoid allocation of buffer if prefix is empty.
	if i.op() != InstRune || len(i.Rune) != 1 {
		return "", i.Op == InstMatch
	}

	// Have prefix; gather characters.
	var buf strings.Builder
	for i.op() == InstRune && len(i.Rune) == 1 && Flags(i.Arg)&FoldCase == 0 && i.Rune[0] != utf8.RuneError {
		buf.WriteRune(i.Rune[0])
		i = p.skipNop(i.Out)
	}

// representation. A nil error is converted to an empty string, and all other
// errors are converted to a JSON-marshaled parseError struct, with ErrorList
// set for errors of type scanner.ErrorList, and ErrorString set to the error's
// string representation for all other errors.
func parseErrorToString(err error) string {
	if err == nil {
		return ""
	}
	var p parseError