Function read_approx_fail_freq

test/runner.py:309–321

(test_name)

  previous_test_run_results = common.load_previous_test_run_results()

  def read_approx_fail_freq(test_name):
    if test_name in previous_test_run_results and 'fail_frequency' in previous_test_run_results[test_name]:
      # Quantize the float value to relatively fine-grained buckets for sorting.
      # This bucketization is needed to merge two competing sorting goals: we may
      # want to fail early (so tests with previous history of failures should sort first)
      # but we also want to run the slowest tests first.
      # We cannot sort for both goals at the same time, so have failure frequency
      # take priority over test runtime, and quantize the failures to distinct
      # frequencies, to be able to then sort by test runtime inside the same failure
      # frequency bucket.
      NUM_BUCKETS = 20
      return round(previous_test_run_results[test_name]['fail_frequency'] * NUM_BUCKETS) / NUM_BUCKETS
    return 0

  def sort_tests_failing_and_slowest_first_comparator(x, y):
    x = str(x)