func Generate(ctx context.Context, client kube.Client, opts *GenerateOptions, istioNS string) (string, error) {
	// abort if there exists a revision with the target tag name
	revWebhookCollisions, err := GetWebhooksWithRevision(ctx, client.Kube(), opts.Tag)
	if err != nil {
		return "", err
	}
	if !opts.Generate && !opts.Overwrite &&
		len(revWebhookCollisions) > 0 && opts.Tag != DefaultRevisionName {

func (client *peerRESTClient) SpeedTest(ctx context.Context, opts speedTestOpts) (SpeedTestResult, error) {
	values := make(url.Values)
	values.Set(peerRESTSize, strconv.Itoa(opts.objectSize))
	values.Set(peerRESTConcurrent, strconv.Itoa(opts.concurrency))
	values.Set(peerRESTDuration, opts.duration.String())
	values.Set(peerRESTStorageClass, opts.storageClass)
	values.Set(peerRESTBucket, opts.bucketName)

				if cpus.Intersection(availableCPUs).Size() > 0 {
					t.Errorf("expected intersection of taken cpus [%s] and acc.details.CPUs() [%s] to be empty", cpus, availableCPUs)
				}
				if !cpus.IsSubsetOf(acc.result) {
					t.Errorf("expected [%s] to be a subset of acc.result [%s]", cpus, acc.result)
				}
			}
			expNumCPUsNeeded := tc.numCPUs - totalTaken
			if acc.numCPUsNeeded != expNumCPUsNeeded {

			// for our name.
			if opts.FieldSelector != nil && !opts.FieldSelector.Empty() {
				selectedName, ok := opts.FieldSelector.RequiresExactMatch("metadata.name")
				if !ok || name != selectedName {
					scope.err(errors.NewBadRequest("fieldSelector metadata.name doesn't match requested name"), w, req)
					return
				}
			} else {
				opts.FieldSelector = nameSelector
			}
		}

  auto matmul_op = llvm::dyn_cast<TF::BatchMatMulV2Op>(op);
  if (!matmul_op) return failure();

  // Gets the broadcasted output shape for tf.BatchMatMulV2Op. `shape_x` is the
  // shape of op's first/left-hand-side operand and `shape_y` is the shape of
  // op's second/right-hand-side operand.
  const auto get_broadcasted_shape =
      [&](ArrayRef<int64_t> shape_x, ArrayRef<int64_t> shape_y,
          SmallVectorImpl<int64_t>& result_shape) {

namespace TF {

class IdentityOp;
class IdentityNOp;

// Returns the RankedTensorType for the given operand. TensorFlow constant ops
// may have non-static shape because the shape is not propagated during constant
// folding. If the defining op for the given operand is a constant op, this
// routine uses the constant op's attribute to get the actual shape.
RankedTensorType GetRankedTensorTypeForOperand(Value operand) {
  DenseElementsAttr attr;

		if report == nil || report.BucketStats == nil {
			continue
		}
		for opts := range report.BucketStats {
			d, ok := consolidatedReport.BucketStats[opts]
			if !ok {
				d = bandwidth.Details{
					LimitInBytesPerSecond: report.BucketStats[opts].LimitInBytesPerSecond,
				}
			}
			dt, ok := report.BucketStats[opts]
			if ok {
				d.CurrentBandwidthInBytesPerSecond += dt.CurrentBandwidthInBytesPerSecond

package p1

type O map[string]map[string]string

func (opts O) RemoveOption(sect, opt string) bool {
	if _, ok := opts[sect]; !ok {
		return false
	}
	_, ok := opts[sect][opt]
	delete(opts[sect], opt)
	return ok

				customizeCall func(t framework.TestContext, from echo.Instance, opts *echo.CallOptions)
			}{
				{
					name:       "valid-token-forward-remote-jwks",
					policyFile: "./testdata/remotehttps.yaml.tmpl",
					customizeCall: func(t framework.TestContext, from echo.Instance, opts *echo.CallOptions) {
						opts.HTTP.Path = "/valid-token-forward-remote-jwks"
						opts.HTTP.Headers = headers.New().WithAuthz(jwt.TokenIssuer1).Build()

	}

	if opts.registerTaintsUsingFlags && opts.nodeRegOpts.Taints != nil && len(opts.nodeRegOpts.Taints) > 0 {
		taintStrs := []string{}
		for _, taint := range opts.nodeRegOpts.Taints {
			taintStrs = append(taintStrs, taint.ToString())
		}
		kubeletFlags = append(kubeletFlags, kubeadmapi.Arg{Name: "register-with-taints", Value: strings.Join(taintStrs, ",")})
	}