plot: recognize exponential distributions

1 files changed, 9 insertions, 1 deletions

diff --git a/plot.py b/plot.py
index c6676e7..3347993 100755
--- a/plot.py
+++ b/plot.py
@@ -88,6 +88,7 @@ def get_data_tmpfile(datafile, target=None):
 
 def scenario_heading(conf, want_period=False):
     dist = 'unknown distribution'
+    period = None
     if 'dist' in conf:
         if conf['dist'] == 'uni':
             dist = 'utilization uniformly '
@@ -123,9 +124,16 @@ def scenario_heading(conf, want_period=False):
                     dist = dist + 'in [0.001, 0.5] (6/9) and [0.5, %s] (3/9)' % cap
                 elif 'heavy' == weight:
                     dist = dist + 'in [0.001, 0.5] (4/9) and [0.5, %s] (5/9)' % cap
+            m = re.match('exp-(\d+)-(\d+)-(\d+)', conf['dist'])
+            if m:
+                mean   = (float(m.group(1)) / 100)
+                period = (m.group(2), m.group(3))
+                dist = "util. exponentially in [0, 1] with mean %.2f" % mean
 
     if want_period:
-        if '33' in conf:
+        if period:
+            dist += '; period uniformly in [%s, %s]' % period
+        elif '33' in conf:
             dist += '; period uniformly in [3, 33]'
         elif '250' in conf:
             dist += '; period uniformly in [50, 250]'