diff options
Diffstat (limited to 'testsuites/smptests/smplock01/smplock01perf.py')
-rwxr-xr-x | testsuites/smptests/smplock01/smplock01perf.py | 91 |
1 files changed, 56 insertions, 35 deletions
diff --git a/testsuites/smptests/smplock01/smplock01perf.py b/testsuites/smptests/smplock01/smplock01perf.py index 43816814f8..09c7fb10b4 100755 --- a/testsuites/smptests/smplock01/smplock01perf.py +++ b/testsuites/smptests/smplock01/smplock01perf.py @@ -1,39 +1,60 @@ -#!/usr/bin/env python +# SPDX-License-Identifier: BSD-2-Clause +# Copyright (C) 2016, 2024 embedded brains GmbH & Co. KG # -# Copyright (c) 2016 embedded brains GmbH. All rights reserved. +# Redistribution and use in source and binary forms, with or without +# modification, are permitted provided that the following conditions +# are met: +# 1. Redistributions of source code must retain the above copyright +# notice, this list of conditions and the following disclaimer. +# 2. Redistributions in binary form must reproduce the above copyright +# notice, this list of conditions and the following disclaimer in the +# documentation and/or other materials provided with the distribution. # -# The license and distribution terms for this file may be -# found in the file LICENSE in this distribution or at -# http://www.rtems.org/license/LICENSE. -# - +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE +# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR +# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF +# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS +# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN +# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +# POSSIBILITY OF SUCH DAMAGE. + +import json import re -import libxml2 -from libxml2 import xmlNode -import matplotlib.pyplot as plt -data = open('smplock01.scn').read() -data = re.sub(r'\*\*\*.*\*\*\*', '', data) -doc = libxml2.parseDoc(data) -ctx = doc.xpathNewContext() - -plt.title('SMP Lock Performance') -plt.xlabel('Active Workers') -plt.ylabel('Operation Count') - -y = map(xmlNode.getContent, ctx.xpathEval('/SMPLock01/GlobalTicketLockWithLocalCounter/SumOfLocalCounter')) -x = range(1, len(y) + 1) -plt.xticks(x) -plt.plot(x, y, label = 'Ticket Lock', marker = 'o') - -y = map(xmlNode.getContent, ctx.xpathEval('/SMPLock01/GlobalMCSLockWithLocalCounter/SumOfLocalCounter')) -plt.plot(x, y, label = 'MCS Lock', marker = 'o') - -y = map(xmlNode.getContent, ctx.xpathEval('/SMPLock01/GlobalTASLockWithLocalCounter/SumOfLocalCounter')) -plt.plot(x, y, label = 'TAS Lock', marker = 'o') - -y = map(xmlNode.getContent, ctx.xpathEval('/SMPLock01/GlobalTTASLockWithLocalCounter/SumOfLocalCounter')) -plt.plot(x, y, label = 'TTAS Lock', marker = 'o') - -plt.legend(loc = 'best') -plt.show() +import matplotlib.pyplot as plt # type: ignore +from matplotlib import ticker # type: ignore + + +def _plot(data: dict) -> None: + _, axes = plt.subplots() + axes.set_title("SMP Lock Performance") + axes.set_xlabel("Active Workers") + axes.set_ylabel("Operation Count") + x = list(range(1, len(data[0]["results"]) + 1)) + axes.xaxis.set_major_locator(ticker.FixedLocator(x)) + for samples in data: + if samples["lock-object"] != "global": + continue + if samples["section-type"] != "local counter": + continue + y = [sum(results["counter"]) for results in samples["results"]] + axes.plot(x, y, label=samples["lock-type"], marker="o") + axes.legend(loc="best") + plt.savefig("smplock01perf.png") + plt.savefig("smplock01perf.pdf") + plt.close() + + +_JSON_DATA = re.compile( + r"\*\*\* BEGIN OF JSON DATA \*\*\*(.*)" + r"\*\*\* END OF JSON DATA \*\*\*", re.DOTALL) + +with open("smplock01.scn", "r", encoding="utf-8") as src: + match = _JSON_DATA.search(src.read()) + data = json.loads(match.group(1)) + +_plot(data) |