// Convert from TF_Output and TF_Tensor to a string and Tensor.
  std::vector<std::pair<string, Tensor>> input_pairs(ninputs);
  if (!TF_Run_Inputs(input_values, &input_pairs, status)) return;
  for (int i = 0; i < ninputs; ++i) {
    input_pairs[i].first = OutputName(inputs[i]);
  }

  // Convert from TF_Output to string names.
  std::vector<string> output_names(noutputs);
  for (int i = 0; i < noutputs; ++i) {

		Description:          m.Description,
		Value:                m.Value,
		HistogramBucketLabel: m.HistogramBucketLabel,
		StaticLabels:         make(map[string]string, len(m.StaticLabels)),
		VariableLabels:       make(map[string]string, len(m.VariableLabels)),
		Histogram:            make(map[string]uint64, len(m.Histogram)),
	}
	for k, v := range m.StaticLabels {
		metric.StaticLabels[k] = v
	}
	for k, v := range m.VariableLabels {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

        }
    }

    public void scriptedMetric(String name, ConditionOptionCall<ScriptedMetricAggregationBuilder> opLambda) {
        ScriptedMetricAggregationBuilder builder = regScriptedMetricA(name);
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void topHits(String name, ConditionOptionCall<TopHitsAggregationBuilder> opLambda) {

	}
	info.BucketStats = make(map[string]map[string]madmin.SRBucketStatsSummary, len(sinfo.Sites))
	info.PolicyStats = make(map[string]map[string]madmin.SRPolicyStatsSummary)
	info.UserStats = make(map[string]map[string]madmin.SRUserStatsSummary)
	info.GroupStats = make(map[string]map[string]madmin.SRGroupStatsSummary)
	info.ILMExpiryStats = make(map[string]map[string]madmin.SRILMExpiryStatsSummary)
	numSites := len(info.Sites)

func filterReplicationStatusMetadata(metadata map[string]string) map[string]string {
	// Copy on write
	dst := metadata
	var copied bool
	delKey := func(key string) {
		if _, ok := metadata[key]; !ok {
			return
		}
		if !copied {
			dst = make(map[string]string, len(metadata))
			for k, v := range metadata {
				dst[k] = v
			}
			copied = true

internal class WrongAnnotationTargetImpl(
    override val actualTarget: String,
    firDiagnostic: KtPsiDiagnostic,
    token: KtLifetimeToken,
) : KtAbstractFirDiagnostic<KtAnnotationEntry>(firDiagnostic, token), KtFirDiagnostic.WrongAnnotationTarget

internal class WrongAnnotationTargetWithUseSiteTargetImpl(
    override val actualTarget: String,
    override val useSiteTarget: String,
    firDiagnostic: KtPsiDiagnostic,

// header values specified in X-Amz-Metadata-Directive.
func getCpObjMetadataFromHeader(ctx context.Context, r *http.Request, userMeta map[string]string) (map[string]string, error) {
	// Make a copy of the supplied metadata to avoid
	// to change the original one.
	defaultMeta := make(map[string]string, len(userMeta))
	for k, v := range userMeta {
		// skip tier metadata when copying metadata from source object
		switch k {

	// map header, size 4
	// string "current"
	o = append(o, 0x84, 0xa7, 0x63, 0x75, 0x72, 0x72, 0x65, 0x6e, 0x74)
	o = msgp.AppendUint64(o, z.current)
	// string "next"
	o = append(o, 0xa4, 0x6e, 0x65, 0x78, 0x74)
	o = msgp.AppendUint64(o, z.next)
	// string "started"
	o = append(o, 0xa7, 0x73, 0x74, 0x61, 0x72, 0x74, 0x65, 0x64)
	o = msgp.AppendTime(o, z.started)
	// string "cycleCompleted"