func testAddr2Line(t *testing.T, dbgExePath, addr string) {
	funcName, srcPath, srcLineNo := runAddr2Line(t, dbgExePath, addr)
	if symName != funcName {
		t.Fatalf("expected function name %v; got %v", symName, funcName)
	}
	fi1, err := os.Stat("addr2line_test.go")
	if err != nil {
		t.Fatalf("Stat failed: %v", err)
	}

	// Debug paths are stored slash-separated, so convert to system-native.
	srcPath = filepath.FromSlash(srcPath)

func getSource(level int) string {
	pc, file, lineNumber, ok := runtime.Caller(level)
	if ok {
		// Clean up the common prefixes
		file = trimTrace(file)
		_, funcName := filepath.Split(runtime.FuncForPC(pc).Name())
		return fmt.Sprintf("%v:%v:%v()", file, lineNumber, funcName)
	}
	return ""
}

// getTrace method - creates and returns stack trace
func getTrace(traceLevel int) []string {
	var trace []string

		reqPath := r.URL.RawPath
		if reqPath == "" {
			reqPath = r.URL.Path
		}

		// Calculate function name
		funcName := tc.FuncName
		if funcName == "" {
			funcName = "<unknown>"
		}

		t := madmin.TraceInfo{
			TraceType: tt,
			FuncName:  funcName,
			NodeName:  nodeName,
			Time:      reqStartTime,
			Duration:  reqEndTime.Sub(respRecorder.StartTime),
			Path:      reqPath,

  }
  absl::Status SetAttrFunctionName(const char* attr_name, const char* value,
                                   size_t length) override {
    tensorflow::NameAttrList func_name;
    func_name.set_name(string(value, value + length));
    op_->node_builder.Attr(attr_name, func_name);
    return absl::OkStatus();
  }
  absl::Status SetAttrTensor(const char* attr_name,
                             AbstractTensorInterface* tensor) override {

}

func getSource(n int) string {
	var funcName string
	pc, filename, lineNum, ok := runtime.Caller(n)
	if ok {
		filename = pathutil.Base(filename)
		funcName = strings.TrimPrefix(runtime.FuncForPC(pc).Name(),
			"github.com/minio/minio/cmd.")
	} else {
		filename = "<unknown>"
		lineNum = 0
	}

	return fmt.Sprintf("[%s:%d:%s()]", filename, lineNum, funcName)

  delete lib_handle;
}

void TF_GraphRemoveFunction(TF_Graph* g, const char* func_name,
                            TF_Status* status) {
  tensorflow::mutex_lock l(g->mu);
  status->status = g->graph.mutable_flib_def()->RemoveFunction(func_name);

		traceType = madmin.TraceBatchExpire
	}
	funcName := fmt.Sprintf("%s() (job-name=%s)", d.String(), job)
	if attempts > 0 {
		funcName = fmt.Sprintf("%s() (job-name=%s,attempts=%s)", d.String(), job, humanize.Ordinal(attempts))
	}
	return madmin.TraceInfo{
		TraceType: traceType,
		Time:      startTime,
		NodeName:  globalLocalNodeName,
		FuncName:  funcName,
		Duration:  duration,

}

// healTrace sends healing results to trace output.
func healTrace(funcName healingMetric, startTime time.Time, bucket, object string, opts *madmin.HealOpts, err error, result *madmin.HealResultItem) {
	tr := madmin.TraceInfo{
		TraceType: madmin.TraceHealing,
		Time:      startTime,
		NodeName:  globalLocalNodeName,
		FuncName:  "heal." + funcName.String(),
		Duration:  time.Since(startTime),

			// Verify if date headers are set, if not reject the request
			amzDate, errCode := parseAmzDateHeader(r)
			if errCode != ErrNone {
				if ok {
					tc.FuncName = "handler.Auth"
					tc.ResponseRecorder.LogErrBody = true
				}

				// All our internal APIs are sensitive towards Date
				// header, for all requests where Date header is not

		if pool == nil {
			globalHTTPStats.addRequestsInQueue(-1)
			f.ServeHTTP(w, r)
			return
		}

		if tc, ok := r.Context().Value(mcontext.ContextTraceKey).(*mcontext.TraceCtxt); ok {
			tc.FuncName = "s3.MaxClients"
		}

		w.Header().Set("X-RateLimit-Limit", strconv.Itoa(cap(pool)))
		w.Header().Set("X-RateLimit-Remaining", strconv.Itoa(cap(pool)-len(pool)))

		ctx := r.Context()
		select {