namespace tensorflow {
namespace calibrator {


class CalibrationStatisticsCollectorHistogram
    : public CalibrationStatisticsCollectorBase {
 public:
  explicit CalibrationStatisticsCollectorHistogram() { ClearData(); }

  void ClearData() override;

  void Collect(float min, float max,
               absl::Span<const int64_t> histogram) override;

  std::optional<CalibrationStatistics> GetStatistics() const override;

 private:

    }

    default boolean hasData(MeasuredOperationList measuredOperations) {
        return !measuredOperations.getTotalTime().isEmpty();
    }

    default ExecutionGraph toExecutionGraph(PerformanceTestExecution execution, int index) {
        Line baseline = new Line(execution.getScenarios().stream().filter(this::hasData).findFirst().orElse(new MeasuredOperationList()));

		}
	}

	// Write out the length of the data.
	if spec.HasData {
		w.buf = binary.AppendUvarint(w.buf, uint64(len(e.Data)))
	}

	// Write out varint events.
	_, err := w.w.Write(w.buf)
	w.buf = w.buf[:0]
	if err != nil {
		return err
	}

	// Write out data.
	if spec.HasData {
		_, err := w.w.Write(e.Data)
		return err
	}
	return nil

// 4. Clean up the artifacts (e.g., delete CSR)
func SignCSRK8s(client clientset.Interface, csrData []byte, signerName string, usages []cert.KeyUsage,
	dnsName, caFilePath string, approveCsr, appendCaCert bool, requestedLifetime time.Duration,
) ([]byte, []byte, error) {
	// 1. Submit the CSR
	csr, err := submitCSR(client, csrData, signerName, usages, requestedLifetime)
	if err != nil {
		return nil, nil, err
	}

		{"(CharData).Copy", Method, 0},
		{"(Comment).Copy", Method, 0},
		{"(Directive).Copy", Method, 0},
		{"(ProcInst).Copy", Method, 0},
		{"(StartElement).Copy", Method, 0},
		{"(StartElement).End", Method, 2},
		{"(UnmarshalError).Error", Method, 0},
		{"Attr", Type, 0},
		{"Attr.Name", Field, 0},
		{"Attr.Value", Field, 0},
		{"CharData", Type, 0},
		{"Comment", Type, 0},

class CalibrationStatisticsCollectorBase {
 public:
  // Collect data for calibration.
  virtual void Collect(float min, float max,
                       absl::Span<const int64_t> histogram) = 0;

  virtual void ClearData() = 0;
  // Return the statistics needed for a given calibration method.
  virtual std::optional<CalibrationStatistics> GetStatistics() const = 0;
  virtual ~CalibrationStatisticsCollectorBase() = default;
};

	// otherwise aren't actually surfaced by the trace reader.
	IsTimedEvent bool

	// HasData is true if the event has trailer consisting of a
	// varint length followed by unencoded bytes of some data.
	//
	// An event may not be both a timed event and have data.
	HasData bool

	// IsStack indicates that the event represents a complete
	// stack trace. Specifically, it means that after the arguments

                continue;
            }

            char ch = s.charAt(pos);
            pos++;
            if (ch == '\\') {
                sb.append(ch);
                if (pos >= end) {
                    break; // ERROR, or let it go?
                }
                ch = s.charAt(pos);
                pos++;
            }

            sb.append(ch);
        }

#include "absl/types/span.h"
#include "tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics.pb.h"

namespace tensorflow {
namespace calibrator {

void CalibrationStatisticsCollectorMinMax::ClearData() {
  // global_min will be updated by std::min(global_min, input_value) so
  // it is initialized with the value numeric_limits<float>::max().
  min_max_statistics_.set_global_min(std::numeric_limits<float>::max());

#include "absl/types/span.h"
#include "tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_statistics.pb.h"

namespace tensorflow {
namespace calibrator {

void CalibrationStatisticsCollectorAverageMinMax::ClearData() {
  average_min_max_statistics_.set_min_sum(0.0);
  average_min_max_statistics_.set_max_sum(0.0);
  average_min_max_statistics_.set_num_samples(0);
}

void CalibrationStatisticsCollectorAverageMinMax::Collect(