Dashboard: Touch up timing distributions

tools/dashboard/generate_dashboard.py

@@ -24,6 +24,7 @@
 from pathlib import Path
 import requests
 import hashlib
+from collections import OrderedDict
 
 import matplotlib as mpl
 mpl.use('Agg')  # change backend, to run without X11
@@ -264,11 +265,11 @@ def gen_plots(archive_reports, log, outdir, full_archive):
     ordered_reports = [archive_reports[sha] for sha in ordered_shas if sha in archive_reports]
 
     # collect plot data
-    plots = {}
+    plots = OrderedDict()
     for report in ordered_reports:
         for p in report['plots']:
             if(p['name'] not in plots.keys()):
-                plots[p['name']] = {'curves':{}}
+                plots[p['name']] = {'curves': OrderedDict()}
             plots[p['name']]['title'] = p['title'] # update title
             plots[p['name']]['ylabel'] = p['ylabel'] # update label
         for pp in report['plotpoints']:
@@ -319,7 +320,7 @@ def gen_plots(archive_reports, log, outdir, full_archive):
         ax.set_xlabel('Commit Age')
         ax.set_ylabel(p['ylabel'])
         markers = itertools.cycle('os>^*')
-        for cname in sorted(p['curves'].keys()):
+        for cname in p['curves'].keys():
             c = p['curves'][cname]
             if(full_archive):
                 ax.plot(c['x'], c['y'], label=c['label'], linewidth=2) # less crowded

tools/regtesting/timings.py

@@ -17,7 +17,7 @@ def main():
     with open(filename) as fhandle:
         timings = sorted(float(line.split()[0]) for line in fhandle.readlines())
 
-    print('Plot: name="timings", title="Timings Distribution", ylabel="time [s]"')
+    print('Plot: name="timings", title="Timing Distribution", ylabel="time [s]"')
     tmpl = 'PlotPoint: name="{}th_percentile", plot="timings", label="{}th %ile", y={}, yerr=0.0'
     for p in (100, 99, 98, 95, 90, 80):
         v = percentile(timings, p / 100.0)