From 859a1095e19eef6a10e429d1a2c58ffba7238a76 Mon Sep 17 00:00:00 2001 From: Joshua Bakita Date: Wed, 21 Oct 2020 14:08:09 -0400 Subject: Remove duplicate summary script and don't output memory info if non present --- dis/summarize.py | 69 -------------------------------------------------------- 1 file changed, 69 deletions(-) delete mode 100755 dis/summarize.py (limited to 'dis/summarize.py') diff --git a/dis/summarize.py b/dis/summarize.py deleted file mode 100755 index 31dcccc..0000000 --- a/dis/summarize.py +++ /dev/null @@ -1,69 +0,0 @@ -#!/usr/bin/python3 -import sys - -f = sys.argv[1] -if len(sys.argv) < 2: - print("Usage "+sys.argv[0]+" --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/ }}} -avg_max = 0 -avg_99th = 0 -avg_avg = 0 -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}\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])) - else: - print("{:12.12}\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])) - -print("Average average:", avg_avg/len(res.keys())) -print("Average max:", avg_max/len(res.keys())) -print("Average 99th:", avg_99th/len(res.keys())) -- cgit v1.2.2