// when we attempt to reach all clusters), converging will result in sending at least
	// `converge * count` requests. When running multiple requests in parallel, this can contribute
	// to resource (e.g. port) exhaustion in the echo servers. To avoid that problem, we disable
	// converging by default, so long as the count is greater than the default converge value.

		if err != nil {
			return err
		}
	} else {
		return fmt.Errorf("existing data directory '%s' is missing version.txt file, unable to migrate", m.dataDirectory.path)
	}

	for {
		klog.Infof("Converging current version '%s' to target version '%s'", current, target)
		currentNextMinorVersion := &EtcdVersion{Version: semver.Version{Major: current.version.Major, Minor: current.version.Minor + 1}}
		switch {

func Forever(f func(), period time.Duration) {
	Until(f, period, NeverStop)
}

// Jitter returns a time.Duration between duration and duration + maxFactor *
// duration.
//
// This allows clients to avoid converging on periodic behavior. If maxFactor
// is 0.0, a suggested default value will be chosen.
func Jitter(duration time.Duration, maxFactor float64) time.Duration {
	if maxFactor <= 0.0 {
		maxFactor = 1.0
	}

		n2, ok := GoroutineProfile(make([]StackRecord, n1))
		if n2 == n1 && ok {
			break
		}
		t.Logf("GoroutineProfile(%d) = %d, %v, want %d, true", n1, n2, ok, n1)
		if i >= 10 {
			t.Fatalf("GoroutineProfile not converging")
		}
	}
}

func BenchmarkGoroutineProfile(b *testing.B) {
	run := func(fn func() bool) func(b *testing.B) {
		runOne := func(b *testing.B) {
			latencies := make([]time.Duration, 0, b.N)

            ModelType.of(type),
            viewTypes.collect { ModelType.of(it) },
            delegateType == null ? null : ModelType.of(delegateType)
        )
    }

    def "finds #results.simpleName as the converging types among #types.simpleName"() {
        expect:
        DefaultStructBindingsStore.findConvergingTypes(types.collect { ModelType.of(it) }) as List == results.collect { ModelType.of(it) }

        where:

	var i34 int64 = ^0;  // note: 2's complement means ^0 == -1
	if i34 != -1 { panic("i34") }
}
/*
bug12.go:5: overflow converting constant to <uint64>UINT64
bug12.go:6: overflow converting constant to <uint64>UINT64
bug12.go:7: overflow converting constant to <uint64>UINT64
bug12.go:8: overflow converting constant to <uint64>UINT64

// MetricSpecsAnnotation is the annotation which holds non-CPU-utilization HPA metric
// specs when converting the `Metrics` field from autoscaling/v2beta1
const MetricSpecsAnnotation = "autoscaling.alpha.kubernetes.io/metrics"

// MetricStatusesAnnotation is the annotation which holds non-CPU-utilization HPA metric
// statuses when converting the `CurrentMetrics` field from autoscaling/v2beta1

// Convert_Slice_string_To_v1beta1_IncludeObjectPolicy allows converting a URL query parameter value
func Convert_Slice_string_To_v1beta1_IncludeObjectPolicy(in *[]string, out *IncludeObjectPolicy, s conversion.Scope) error {
	if len(*in) > 0 {
		*out = IncludeObjectPolicy((*in)[0])
	}
	return nil
}

// Convert_v1beta1_PartialObjectMetadataList_To_v1_PartialObjectMetadataList allows converting PartialObjectMetadataList between versions

    return OkStatus();
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.def"

    default:
      return errors::Unimplemented(absl::StrCat(
          "Converting DataType '", DataTypeString(dtype), "' to MLIR Type"));
  }
}

Status ConvertScalarTypeToDataType(Type type, DataType* dtype) {
  if (type.isF16()) {
    *dtype = DT_HALF;
    return absl::OkStatus();

// RUN: tf-opt -verify-diagnostics -tf-readonly-references-to-resources -split-input-file %s | FileCheck %s

// Test case: Basic converting.

func.func @f() {
  // CHECK: "tf.VarHandleOp"
  // CHECK: "tf.ReadVariableOp"
  %val0 = "tf.VariableV2"() {_class = ["loc:@v"], container = "", device = "", shape = #tf_type.shape<96>, shared_name = ""} : () -> tensor<96x!tf_type.f32ref>
  %val1 = "tf.Identity"(%val0) : (tensor<96x!tf_type.f32ref>) -> tensor<96xf32>