TF_Status* status);

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

typedef struct TF_ShapeAndType TF_ShapeAndType;

  TF_DeleteExecutionContext(ctx);
  return wrap(func);
}

TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func,
                                           TF_DataType dtype, TF_Shape shape,
                                           TF_Status* s) {
  DCHECK_GE(shape.num_dims, -1);
  TracingTensorHandle* t;
  TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(func));

	if err != nil {
		return err
	}
	if includeConfigType {
		_, _ = fmt.Fprintln(w, "NAME\tSERVICE FQDN\tPORT\tSUBSET\tDIRECTION\tTYPE\tDESTINATION RULE")
	} else {
		_, _ = fmt.Fprintln(w, "SERVICE FQDN\tPORT\tSUBSET\tDIRECTION\tTYPE\tDESTINATION RULE")
	}
	for _, c := range clusters {
		if filter.Verify(c) {
			if len(strings.Split(c.Name, "|")) > 3 {

      "      attr {"
      "        key: 'dtype'"
      "        value {"
      "          type: DT_FLOAT"
      "        }"
      "      }"
      "    }"
      "    node_def {"
      "      name: 'read1'"
      "      op: 'ReadVariableOp'"
      "      input: 'var'"
      "      device: '/job:localhost/replica:0/task:1/device:CPU:0'"
      "      attr {"
      "        key: 'dtype'"
      "        value {"

  virtual bool PreferCustomSummarizer() const { return false; }

  // Returns a string which summarizes the value of this TensorHandle, for
  // debugging. Does not include a shape or dtype.
  //
  // Included in the default implementation of DebugString.
  virtual absl::Status SummarizeValue(std::string& summary) const;

  // For LLVM style RTTI.
  static bool classof(const AbstractTensorHandle* ptr) {

	callbackTypeAfterFind    callbackType = "AfterFind"
)

// ErrUnsupportedDataType unsupported data type
var ErrUnsupportedDataType = errors.New("unsupported data type")

type Schema struct {
	Name                      string
	ModelType                 reflect.Type
	Table                     string
	PrioritizedPrimaryField   *Field
	DBNames                   []string
	PrimaryFields             []*Field

		}
	}
	_, _ = fmt.Fprintln(c.Stdout, string(out))
	return nil
}

func (c *ConfigWriter) PrintEcdsSummary() error {
	w := new(tabwriter.Writer).Init(c.Stdout, 0, 8, 5, ' ', 0)

	fmt.Fprintln(w, "ECDS NAME\tTYPE")
	dump, err := c.retrieveSortedEcds()
	if err != nil {
		return err
	}
	for _, ecds := range dump {
		fmt.Fprintf(w, "%v\t%v\n",
			ecds.Name,

                    <mxGeometry x="710" y="-50" width="300" height="80" as="geometry"/>
                </mxCell>

se},{\"name\":\"_source\",\"type\":\"_source\",\"esTypes\":[\"_source\"],\"count\":0,\"scripted\":false,\"searchable\":false,\"aggregatable\":false,\"readFromDocValues\":false},{\"name\":\"_type\",\"type\":\"string\",\"esTypes\":[\"_type\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"accessType\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDoc...

	if c.ztunnelDump == nil {
		return fmt.Errorf("config writer has not been primed")
	}
	secretDump := c.ztunnelDump.Certificates
	w := new(tabwriter.Writer).Init(c.Stdout, 0, 8, 5, ' ', 0)
	fmt.Fprintln(w, "CERTIFICATE NAME\tTYPE\tSTATUS\tVALID CERT\tSERIAL NUMBER\tNOT AFTER\tNOT BEFORE")

	for _, secret := range secretDump {
		if strings.Contains(secret.State, "Unavailable") {
			secret.State = "Unavailable"
		}
		if len(secret.CertChain) == 0 {