From 859a1095e19eef6a10e429d1a2c58ffba7238a76 Mon Sep 17 00:00:00 2001
From: Joshua Bakita <jbakita@cs.unc.edu>
Date: Wed, 21 Oct 2020 14:08:09 -0400
Subject: Remove duplicate summary script and don't output memory info if non
 present

---
 summarize.py | 78 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 78 insertions(+)
 create mode 100755 summarize.py

(limited to 'summarize.py')

diff --git a/summarize.py b/summarize.py
new file mode 100755
index 0000000..2183c41
--- /dev/null
+++ b/summarize.py
@@ -0,0 +1,78 @@
+#!/usr/bin/python3
+import sys
+
+f = sys.argv[1]
+if len(sys.argv) < 2:
+    print("Usage "+sys.argv[0]+" <filename> --inf-precision")
+res = {}
+mem_res = {}
+memw_res = {}
+samples = {}
+max_res = {}
+
+with open(f) as fp:
+    for line in fp:
+        s = line.split()
+        if s[0] not in res:
+#            print(s[0])
+            res[s[0]] = list([int(s[5])])#)int(s[5])
+            mem_res[s[0]] = int(s[8])
+            memw_res[s[0]] = int(s[9])
+            samples[s[0]] = int(s[4])
+            max_res[s[0]] = int(s[5])
+        else:
+            res[s[0]].append(int(s[5]))
+            mem_res[s[0]] += int(s[8])
+            memw_res[s[0]] += int(s[9])
+            max_res[s[0]] = max(int(s[5]), max_res[s[0]])
+## {{{ http://code.activestate.com/recipes/511478/ (r1)
+import math
+import functools
+
+def percentile(N, percent, key=lambda x:x):
+    """
+    Find the percentile of a list of values.
+
+    @parameter N - is a list of values. Note N MUST BE already sorted.
+    @parameter percent - a float value from 0.0 to 1.0.
+    @parameter key - optional key function to compute value from each element of N.
+
+    @return - the percentile of the values
+    """
+    if not N:
+        return None
+    k = (len(N)-1) * percent
+    f = math.floor(k)
+    c = math.ceil(k)
+    if f == c:
+        return key(N[int(k)])
+    d0 = key(N[int(f)]) * (c-k)
+    d1 = key(N[int(c)]) * (k-f)
+    return d0+d1
+## end of http://code.activestate.com/recipes/511478/ }}}
+def memstring(memr, memw, samples):
+    if memr or memw:
+        return "\t{:>12.f}\t{:>12.f}".format(memr/samples, memw/samples)
+    else:
+        return ""
+avg_max = 0
+avg_99th = 0
+avg_avg = 0
+# Only include memory info in the header if relevant
+if mem_res[s[0]] == 0:
+    print("Name\t\tAverage\t\tMax\t\t99th %")
+else:
+    print("Name\t\tAverage\t\tMax\t\t99th %\t\tAvg Mem Read\tAvg Mem Write\t")
+for r in sorted(res.keys()):
+#    print(r + "\t\t" + str(res[r]/samples[r]) + "\t\t" + str(max_res[r]))
+    avg_avg += sum(res[r])/len(res[r])
+    avg_max += max(res[r])
+    avg_99th += percentile(sorted(res[r]), 0.99)
+    if len(sys.argv) > 2 and sys.argv[2] == "--inf-precision":
+        print("{:12}\t{:>12.0f}\t{:>12.0f}\t{:>12.0f}".format(r, sum(res[r])/len(res[r]), max(res[r]), percentile(sorted(res[r]), 0.99)) + memstring(mem_res[r], memw_res[r], samples[r]))
+    else:
+        print("{:12.12}\t{:>12.0f}\t{:>12.0f}\t{:>12.0f}".format(r, sum(res[r])/len(res[r]), max(res[r]), percentile(sorted(res[r]), 0.99)) + memstring(mem_res[r], memw_res[r], samples[r]))
+
+print("Average average:", avg_avg/len(res.keys()))
+print("Average max:", avg_max/len(res.keys()))
+print("Average 99th:", avg_99th/len(res.keys()))
-- 
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