@classmethod
  def _ApplyFlags(cls, config_values, flag_values):
    super(BaseDiskSpec, cls)._ApplyFlags(config_values, flag_values)
    if flag_values['data_disk_size'].present:
      config_values['disk_size'] = flag_values.data_disk_size
    if flag_values['data_disk_type'].present:
      config_values['disk_type'] = flag_values.data_disk_type
    if flag_values['num_striped_disks'].present:
      config_values['num_striped_disks'] = flag_values.num_striped_disks
    if flag_values['scratch_dir'].present:
      config_values['mount_point'] = flag_values.scratch_dir
return the dtype object of the underlying data
dataset/ETHPy150Open GoogleCloudPlatform/PerfKitBenchmarker/perfkitbenchmarker/disk.py/BaseDiskSpec._ApplyFlags--crossover with--dataset/ETHPy150Open pydata/pandas/pandas/indexes/base.py/Index.dtype