var abbrev, aranges, frame, line, pubnames, ranges, str []byte
	info := []byte{0x7, 0x0, 0x0, 0x0, 0x2, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0}

	// A hand-crafted input corresponding to a minimal-size
	// .debug_info (header only, no DIEs) and an empty abbrev table.
	data0, _ := New(abbrev, aranges, frame, info, line, pubnames, ranges, str)
	reader0 := data0.Reader()
	entry0, _ := reader0.SeekPC(0x0)

  // flow frame.
  while (!control_flow_info[src_node->id()].frame_name.empty()) {
    NodeDebugInfo debug_info(*src_node);
    NodeBuilder enter_builder(options.GetNameForOp("Enter"), "Enter",
                              options.op_registry(), &debug_info);
    enter_builder.Attr("frame_name",
                       control_flow_info[src_node->id()].frame_name);

func main() {
	var iface interface{} = map[string]astruct{}
	var iface2 interface{} = []astruct{}
	println(iface, iface2)
}
`

// TestGdbAutotmpTypes ensures that types of autotmp variables appear in .debug_info
// See bug #17830.
func TestGdbAutotmpTypes(t *testing.T) {
	checkGdbEnvironment(t)
	t.Parallel()
	checkGdbVersion(t)

	if runtime.GOOS == "aix" && testing.Short() {

func xcoffGetDwarfSubtype(str string) (string, uint32) {
	switch str {
	default:
		Exitf("unknown DWARF section name for XCOFF: %s", str)
	case ".debug_abbrev":
		return ".dwabrev", SSUBTYP_DWABREV
	case ".debug_info":
		return ".dwinfo", SSUBTYP_DWINFO
	case ".debug_frame":
		return ".dwframe", SSUBTYP_DWFRAME
	case ".debug_line":
		return ".dwline", SSUBTYP_DWLINE
	case ".debug_loc":
		return ".dwloc", SSUBTYP_DWLOC

// limitations under the License.

package cluster

// DebugInfo contains minimal information about remote clusters.
// This struct is defined here, in a package that avoids many imports, since xds/debug usually
// affects agent binary size. We avoid embedding other parts of a "remote cluster" struct like kube clients.
type DebugInfo struct {
	ID         ID     `json:"id"`
	SecretName string `json:"secretName"`

		}
	}
	_ = w.Flush()
	return nil
}

func parseClusterStatuses(input map[string][]byte) (map[string][]cluster.DebugInfo, error) {
	statuses := make(map[string][]cluster.DebugInfo, len(input))
	for istiodKey, bytes := range input {
		var parsed []cluster.DebugInfo
		if err := json.Unmarshal(bytes, &parsed); err != nil {
			return nil, err
		}
		statuses[istiodKey] = parsed
	}
	return statuses, nil

// RUN: tf-opt %s -mlir-print-debuginfo -mlir-print-local-scope | tf-opt -mlir-print-debuginfo -mlir-print-op-generic -mlir-print-local-scope | FileCheck %s

// This file should be written in the generic form with debug locations.
// (that is, as if printed with `-mlir-print-debuginfo -mlir-print-op-generic`).
// The test parses the file, prints it in the pretty form with debug locations,
// then parses it back, then prints it in the generic form again.

// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir --mlir-print-debuginfo -o - | FileCheck %s

// CHECK: #[[LOC0:.*]] = loc("<stdin>":0:0)
// CHECK: "tfl.split"
// CHECK-SAME: loc(#[[SPLIT_LOC:.*]])
// CHECK: #[[LOC1:.*]] = loc("output0"(#[[LOC0]]))
// CHECK: #[[LOC2:.*]] = loc("output1"(#[[LOC0]]))
// CHECK: #[[SPLIT_LOC]] = loc(fused[#[[LOC1]], #[[LOC2]]])

{
  "version": 3,
  "operator_codes": [
    {

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s --mlir-print-debuginfo --print-after-all -tf-input-arrays=arg -tf-input-data-types=DT_INT32 -tf-input-shapes=8 -tf-output-arrays=arg -o - | FileCheck %s

node {
  name: "arg"
  op: "_Arg"
  attr {
    key: "T"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "index"
    value {
      i: 0
    }
  }
}
versions {
  producer: 27

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - -mlir-print-debuginfo -mlir-print-local-scope | FileCheck %s

node {
  name: "Quantized_Constant"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_QUINT8
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_QUINT8
        tensor_shape {
        }
        int_val: 7
      }
    }