centralOpts.AttachControlPlaneFlags(debugCommand)
	debugCommand.Long += "\n\n" + util.ExperimentalMsg
	debugCommand.PersistentFlags().BoolVar(&internalDebugAllIstiod, "all", false,
		"Send the same request to all instances of Istiod. Only applicable for in-cluster deployment.")
	return debugCommand
}

var internalDebugAllIstiod bool

type DebugWriter struct {
	Writer                 io.Writer

			continue
		}
		split := strings.SplitN(v, "=", 2)
		key := split[0]
		value := ""
		if len(split) > 1 {
			value = split[1]
		}

		// Do not send sensitive creds.
		if _, ok := sensitive[key]; ok || strings.Contains(strings.ToLower(key), "password") || strings.HasSuffix(strings.ToLower(key), "key") {
			props.MinioEnvVars[key] = "*** EXISTS, REDACTED ***"
			continue

	_, err = loadSvcActRPC.Call(ctx, client.gridConn(), grid.NewMSSWith(map[string]string{
		peerRESTUser: accessKey,
	}))
	return err
}

// LoadGroup - send load group command to peers.
func (client *peerRESTClient) LoadGroup(ctx context.Context, group string) error {
	_, err := loadGroupRPC.Call(ctx, client.gridConn(), grid.NewMSSWith(map[string]string{
		peerRESTGroup: group,

				// - practically speaking this never happens
				// and should never happen - however it has
				// been seen recently due to hardware issues
				// causes Reads() to go slower than Writes().
				//
				// Send such results anyways as this shall
				// expose a problem underneath.
				if totalPut > throughputHighestPut {
					throughputHighestResults = results
					throughputHighestPut = totalPut

  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);
  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx);
  std::vector<TFE_TensorHandle*> handles_task0;
  if (heavy_load_on_streaming_rpc) {
    // Send 50 tensor copy requests to simulate that there have been some RPC
    // requests been enqueued.
    for (int i = 0; i < 50; ++i) {
      handles_task0.push_back(TestMatrixTensorHandle(ctx));
    }
  }

# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.
# TODO(b/316932689): Avoid copying and replace with a local repository rule.
if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then
  mkdir -p "${TFCI_MACOS_CROSS_COMPILE_SDK_DEST}/usr"

		return
	}

	eventData, err := getLambdaEventData(bucket, object, cred, r)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	resp, err := target.Send(eventData)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}
	defer resp.Body.Close()

	if eventData.GetObjectContext.OutputRoute != resp.Header.Get(xhttp.AmzRequestRoute) {

	// credElement is fetched first to skip replacing the space in access key.
	credElement := strings.TrimPrefix(strings.Split(strings.TrimSpace(v4Auth), ",")[0], signV4Algorithm)
	// Replace all spaced strings, some clients can send spaced
	// parameters and some won't. So we pro-actively remove any spaces
	// to make parsing easier.
	v4Auth = strings.ReplaceAll(v4Auth, " ", "")
	if v4Auth == "" {
		return sv, ErrAuthHeaderEmpty
	}

	OpConnect Op = iota + 1

	// OpConnectResponse is a response to a connect request.
	OpConnectResponse

	// OpPing is a ping request.
	// If a mux id is specified that mux is pinged.
	// Clients send ping requests.
	OpPing

	// OpPong is a OpPing response returned by the server.
	OpPong

	// OpConnectMux will connect a new mux with optional payload.
	OpConnectMux

        // We have collected all the problems so let's mimic the way the old code worked and just blow up right here.
        // That's right lets just let it rip right here and send a big incomprehensible blob of text at unsuspecting
        // users. Bad dog!

        resolutionErrorHandler.throwErrors(request, result);

        return result;
    }