perfkitbenchmarker/linux_benchmarks/suspend_resume_benchmark.py [63:98]:
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    operation: str,
    vms: List[virtual_machine.BaseVirtualMachine],
) -> List[sample.Sample]:
  """Append samples from given data.

  Args:
    operation_times: The list of times for each vms.
    cluster_time: The cluster time for the benchmark.
    operation: The benchmark operation being run, capitalized with no spaces.
    vms: list of virtual machines.

  Returns:
    List of samples constructed from data.
  """
  samples = []
  metadata_list = []
  for i, vm in enumerate(vms):
    metadata = {
        'machine_instance': i,
        'num_vms': len(vms),
        'os_type': vm.OS_TYPE,
    }
    metadata_list.append(metadata)

  for operation_time, metadata in zip(operation_times, metadata_list):
    samples.append(
        sample.Sample(f'{operation} Time', operation_time, 'seconds', metadata)
    )
  os_types = {vm.OS_TYPE for vm in vms}
  metadata = {'num_vms': len(vms), 'os_type': ','.join(sorted(os_types))}
  samples.append(
      sample.Sample(
          f'Cluster {operation} Time', cluster_time, 'seconds', metadata
      )
  )
  return samples
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perfkitbenchmarker/linux_benchmarks/vm_stop_start_benchmark.py [110:144]:
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    operation: str,
    vms: List[virtual_machine.BaseVirtualMachine],
) -> List[sample.Sample]:
  """Append samples from given data.

  Args:
    operation_times: The list of times for each vms.
    cluster_time: The cluster time for the benchmark.
    operation: The benchmark operation being run, capitalized with no spaces.
    vms: list of virtual machines.

  Returns:
    List of samples constructed from data.
  """
  samples = []
  metadata_list = []
  for i, vm in enumerate(vms):
    metadata = {
        'machine_instance': i,
        'num_vms': len(vms),
        'os_type': vm.OS_TYPE,
    }
    metadata_list.append(metadata)
  for operation_time, metadata in zip(operation_times, metadata_list):
    samples.append(
        sample.Sample(f'{operation} Time', operation_time, 'seconds', metadata)
    )
  os_types = {vm.OS_TYPE for vm in vms}
  metadata = {'num_vms': len(vms), 'os_type': ','.join(sorted(os_types))}
  samples.append(
      sample.Sample(
          f'Cluster {operation} Time', cluster_time, 'seconds', metadata
      )
  )
  return samples
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