if info.Size != 0 {
		ctxt.Diag("makeFuncDebugEntry double process %v", s)
	}
	var scopes []dwarf.Scope
	var inlcalls dwarf.InlCalls
	if ctxt.DebugInfo != nil {
		scopes, inlcalls = ctxt.DebugInfo(s, info, curfn)
	}
	var err error
	dwctxt := dwCtxt{ctxt}
	startPos := ctxt.InnermostPos(textPos(s))
	if !startPos.IsKnown() || startPos.RelLine() != uint(s.Func().StartLine) {

// RUN: tf-quant-opt %s -split-input-file -mlir-print-debuginfo -mlir-print-local-scope -quant-add-quantization-unit-loc -inline -quant-prepare-lifting -quant-lift-quantizable-spots-as-functions='target-opset=XLA' | FileCheck %s

// This file test the selective quantiation feature in TF Quantizer. In the test
// config, the op named "test_opt_out" will not be quantized.

module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1269 : i32}} {

// RUN: tf-quant-opt %s -split-input-file -verify-diagnostics \
// RUN:   -quant-insert-restore-op | FileCheck %s
// RUN: tf-quant-opt %s -split-input-file -verify-diagnostics \
// RUN:   -mlir-print-debuginfo -mlir-print-local-scope \
// RUN:   -quant-insert-restore-op | FileCheck %s --check-prefix CHECK-LOC

// RestoreV2 op created for a single VarHandleOp.

module attributes {tf_saved_model.semantics} {

# RUN: not tf_tfl_translate -mlir-pretty-debuginfo -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-input-shapes=1,224,224,3 -tf-output-arrays=MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm -tf-debug-info=%s.debug %s -o - 2>&1 | FileCheck %s

# CHECK: fake/user/code/file_C.py:27:1: error: 'tf.Conv2D' op attribute 'data_format' failed to satisfy constraint: 'NHWC' or 'NCHW' convnet data format

node {
  name: "input"
  op: "Placeholder"
  attr {

# RUN: not tf_tfl_translate -mlir-pretty-debuginfo -tf-input-arrays=input -tf-input-data-types=DT_FLOAT -tf-input-shapes=1,224,224,3 -tf-output-arrays=MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm -tf-debug-info=%s.debug %s -o - 2>&1 | FileCheck %s

# CHECK: fake/user/code/file_C.py:27:1: error: 'tf.Conv2D' op attribute 'data_format' failed to satisfy constraint: 'NHWC' or 'NCHW' convnet data format
# CHECK: fake/user/code/file_D.py:28:1: note: called from

			// i.e., stack assign if AUTO, or if PARAMOUT in registers (which has no predefined spill locations)
			continue
		}
		if mls != nil && mls.Subsumed(n) {
			continue
		}
		if !n.Used() {
			fn.DebugInfo.(*ssa.FuncDebug).OptDcl = fn.Dcl[i:]
			fn.Dcl = fn.Dcl[:i]
			break
		}
		types.CalcSize(n.Type())
		w := n.Type().Size()
		if w >= types.MaxWidth || w < 0 {
			base.Fatalf("bad width")
		}

	JwtKeyResolver *model.JwksResolver

	// ListRemoteClusters collects debug information about other clusters this istiod reads from.
	ListRemoteClusters func() []cluster.DebugInfo

	// ClusterAliases are alias names for cluster. When a proxy connects with a cluster ID
	// and if it has a different alias we should use that a cluster ID for proxy.
	ClusterAliases map[cluster.ID]cluster.ID

	int(0),
	int8(0),
	int16(0),
	int32(0),
	int64(0),
	uint(0),
	uint8(0),
	uint16(0),
	uint32(0),
	uint64(0),
}

var debugInfo = godebug.New("#fuzzdebug").Value() == "1"

func shouldPrintDebugInfo() bool {
	return debugInfo
}

func (c *coordinator) debugLogf(format string, args ...any) {
	t := time.Now().Format("2006-01-02 15:04:05.999999999")

	// DWARF-gen later on. See issue 48573 for more details.
	var debugInfo ssa.FuncDebug
	for _, n := range fn.Dcl {
		if n.Class == ir.PPARAMOUT && n.IsOutputParamInRegisters() {
			debugInfo.RegOutputParams = append(debugInfo.RegOutputParams, n)
		}
	}
	fn.DebugInfo = &debugInfo

	// Generate addresses of local declarations
	s.decladdrs = map[*ir.Name]*ssa.Value{}

	// scope's parent is stored at Parents[i-1].
	Parents []ScopeID

	// Marks records scope boundary changes.
	Marks []Mark

	FieldTrack map[*obj.LSym]struct{}
	DebugInfo  interface{}
	LSym       *obj.LSym // Linker object in this function's native ABI (Func.ABI)

	Inl *Inline

	// RangeParent, if non-nil, is the first non-range body function containing