Flags   int32
	Index   uint16
	Data    IfData
}

type ifData struct {
	Type       uint8
	Physical   uint8
	Addrlen    uint8
	Hdrlen     uint8
	Link_state uint8
	Vhid       uint8
	Datalen    uint16
	Mtu        uint32
	Metric     uint32
	Baudrate   uint64
	Ipackets   uint64
	Ierrors    uint64
	Opackets   uint64
	Oerrors    uint64
	Collisions uint64
	Ibytes     uint64

	Flags   int32
	Index   uint16
	Data    IfData
}

type ifData struct {
	Type       uint8
	Physical   uint8
	Addrlen    uint8
	Hdrlen     uint8
	Link_state uint8
	Vhid       uint8
	Datalen    uint16
	Mtu        uint32
	Metric     uint32
	Baudrate   uint64
	Ipackets   uint64
	Ierrors    uint64
	Opackets   uint64
	Oerrors    uint64
	Collisions uint64
	Ibytes     uint64

  // `tags`, `signature_def_map`, and `signature_keys` are required to properly
  // save and load the module_op to and from SavedModel.
  // `representative_dataset_file_map` contains information about the
  // calibration dataset.
  CalibrationComponent(
      absl::Nonnull<MLIRContext*> ctx,
      absl::Nonnull<const tensorflow::quantization::PyFunctionLibrary*>
          py_function_lib,
      absl::string_view src_saved_model_path,

	Flags   int32
	Index   uint16
	Data    IfData
}

type ifData struct {
	Type       uint8
	Physical   uint8
	Addrlen    uint8
	Hdrlen     uint8
	Link_state uint8
	Vhid       uint8
	Datalen    uint16
	Mtu        uint32
	Metric     uint32
	Baudrate   uint64
	Ipackets   uint64
	Ierrors    uint64
	Opackets   uint64
	Oerrors    uint64
	Collisions uint64
	Ibytes     uint64

};

void ExpandStaticRangePtqPreset(const StaticRangePtqPreset& preset,
                                QuantizationConfig& config) {
  // Populate with preset's representative dataset configs if the user didn't
  // explicitly specify other representative dataset configs to the top-level
  // `CalibrationOptions`.
  if (config.calibration_options().representative_datasets().empty()) {
    auto preset_datasets = preset.representative_datasets();

	Flags   int32
	Index   uint16
	Data    IfData
}

type ifData struct {
	Type       uint8
	Physical   uint8
	Addrlen    uint8
	Hdrlen     uint8
	Link_state uint8
	Vhid       uint8
	Datalen    uint16
	Mtu        uint32
	Metric     uint32
	Baudrate   uint64
	Ipackets   uint64
	Ierrors    uint64
	Opackets   uint64
	Oerrors    uint64
	Collisions uint64
	Ibytes     uint64

	Flags   int32
	Index   uint16
	Data    IfData
}

type ifData struct {
	Type       uint8
	Physical   uint8
	Addrlen    uint8
	Hdrlen     uint8
	Link_state uint8
	Vhid       uint8
	Datalen    uint16
	Mtu        uint32
	Metric     uint32
	Baudrate   uint64
	Ipackets   uint64
	Ierrors    uint64
	Opackets   uint64
	Oerrors    uint64
	Collisions uint64
	Ibytes     uint64

			data = data[1:]
			offset++
		}

		for len(data) > 0 {
			dataLen := int32(len(data))
			var segmentEnd, zeroEnd int32
			if len(segments)+(len(dataSects)-secIndex) == maxNumSegments {
				segmentEnd = dataLen
				zeroEnd = dataLen
			} else {
				for {
					// look for beginning of zeroes
					for segmentEnd < dataLen && data[segmentEnd] != 0 {
						segmentEnd++
					}

  // an option in the TF Quantizer in StableHLO Quantizer v1.
  STABLEHLO = 4;
}

// The data format of each sample in the representative dataset.
message RepresentativeDataSample {
  map<string, TensorProto> tensor_proto_inputs = 2;
}

// Specifies the type and path to the representative dataset.
// NEXT ID: 2
message RepresentativeDatasetFile {
  // Only TfRecord file is supported at the moment but defining this field

      srq_spec.input_quantized_types().at(1).dimension_specs();
  ASSERT_TRUE(dimension_specs.has_dimension());
  EXPECT_THAT(dimension_specs.dimension(), Eq(3));

  // Test that representative dataset config has been transferred to the
  // `CalibrationOptions`.
  ASSERT_THAT(new_config.calibration_options().representative_datasets(),
              SizeIs(1));
  EXPECT_THAT(new_config.calibration_options()