From 6ea9939e0610a809f6f47d13ec68df00d1ca0afc Mon Sep 17 00:00:00 2001
From: Joshua Bakita <jbakita@cs.unc.edu>
Date: Fri, 16 Oct 2020 16:55:14 -0400
Subject: Move the DIS benchmarks up a directory and update hardcoded paths

Note that this repo does not attempt to keep a copy of the original
DIS benchmark distributions. UNC real-time has another repo for that.
---
 dis/original/summarize.py | 71 -----------------------------------------------
 1 file changed, 71 deletions(-)
 delete mode 100755 dis/original/summarize.py

(limited to 'dis/original/summarize.py')

diff --git a/dis/original/summarize.py b/dis/original/summarize.py
deleted file mode 100755
index f8f6929..0000000
--- a/dis/original/summarize.py
+++ /dev/null
@@ -1,71 +0,0 @@
-#!/usr/bin/python3
-import sys
-
-f = sys.argv[1]
-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/ }}}
-"""
-print("Average times:")
-for r in res.keys():
-    print(res[r]/samples[r])
-
-print("Average memory read:")
-for r in mem_res.keys():
-    print(mem_res[r]/samples[r])
-
-print("Average memory write:")
-for r in memw_res.keys():
-    print(memw_res[r]/samples[r])
-
-print("Max times:")
-for r in max_res.keys():
-    print(max_res[r])
-"""
-print("Name\t\tAverage\t\tMax\t\t99th %\t\tAvg Mem Read\tAvg Mem Write\t")
-for r in res.keys():
-#    print(r + "\t\t" + str(res[r]/samples[r]) + "\t\t" + str(max_res[r]))
-    print("{:12}\t{:>12.0f}\t{:>12.0f}\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), mem_res[r]/samples[r], memw_res[r]/samples[r]))
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