perfboot: significant figures + units for summary
This is correct significant figures/units based on the precision of our
measurements, but it does not reflect our actual certainty re the output
data, since in reality, confidence is diminished by temperature, device,
hardware revision, time of day/month/year, spurious activity, data
connectivity, app install list, inherent randomness of multiprogramming,
sensor activity, user interaction, /data caches, build-by-build
differences, charging state, data fragmentation, race-driven sleeps,
cosmic radiation, factory defects, local magnetic or gravitational field
differences, changes in device momentum, or other known and unknown
causes.
Bug: N/A
Test: run perfboot.py, and output has:
mean: 10801 ms
median: 10801 ms
standard deviation: 18 ms
Change-Id: I796396acc203b29e9a14e4d6dffa58db7b8cd9fb
diff --git a/init/perfboot.py b/init/perfboot.py
index 713290b..4b23ad2 100755
--- a/init/perfboot.py
+++ b/init/perfboot.py
@@ -349,9 +349,9 @@
# Filter out invalid data.
end_times = [get_last_value(record, end_tag) for record in record_list
if get_last_value(record, end_tag) != 0]
- print 'mean: ', mean(end_times)
- print 'median:', median(end_times)
- print 'standard deviation:', stddev(end_times)
+ print 'mean:', int(round(mean(end_times))), 'ms'
+ print 'median:', int(round(median(end_times))), 'ms'
+ print 'standard deviation:', int(round(stddev(end_times))), 'ms'
def do_iteration(device, interval_adjuster, event_tags_re, end_tag):