code: def _result_in_seconds(row):
      # sample_measured_value - The value of the measurement for this sample.
      # Note that this is the measured value for the whole sample, not the
      # time-per-iteration To calculate the time-per-iteration, use
      # sample_measured_value/iteration_count
      # -- https://bheisler.github.io/criterion.rs/book/user_guide/csv_output.html
      count = int(row["iteration_count"])
      sample = float(row["sample_measured_value"])
      return sample / count / 10**9
  
file_path: arrow-datafusion/conbench/_criterion.py
imports: import collections
  import csv
  import os
  import pathlib
  import subprocess
  import conbench.runner
  from conbench.machine_info import github_info
label_desc: Use image node_id 1 for calling a global function with example usage: _result_in_seconds(row) and returns: unknown