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Diffstat (limited to '')
| -rw-r--r-- | testsuites/tmtests/tmtimer01/plot.py | 75 |
1 files changed, 53 insertions, 22 deletions
diff --git a/testsuites/tmtests/tmtimer01/plot.py b/testsuites/tmtests/tmtimer01/plot.py index 7f3cf9ece0..73654c5b9d 100644 --- a/testsuites/tmtests/tmtimer01/plot.py +++ b/testsuites/tmtests/tmtimer01/plot.py @@ -1,25 +1,56 @@ +# SPDX-License-Identifier: BSD-2-Clause + +# Copyright (C) 2016, 2024 embedded brains GmbH & Co. KG # -# Copyright (c) 2016 embedded brains GmbH. All rights reserved. -# -# 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. +# 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. # +# 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 matplotlib.pyplot as plt # type: ignore +from matplotlib import ticker # type: ignore + + +def _plot(data: dict) -> None: + _, axes = plt.subplots() + axes.set_title("Timer Fire and Cancel Timing Test") + axes.set_xlabel("Active Timers") + axes.set_xscale("log") + axes.set_ylabel("Timer Fire and Cancel Duration [μs]") + x = [sample["active-timers"] for sample in data["samples"]] + for key in ["first", "middle", "last"]: + y = [sample[key] / 1000.0 for sample in data["samples"]] + axes.plot(x, y, label=f"operate on {key} timer", marker='o') + axes.legend(loc='best') + plt.savefig("tmtimer01.png") + plt.savefig("tmtimer01.pdf") + plt.close() + + +_JSON_DATA = re.compile( + r"\*\*\* BEGIN OF JSON DATA \*\*\*(.*)" + r"\*\*\* END OF JSON DATA \*\*\*", re.DOTALL) + +with open("tmtimer01.scn", "r", encoding="utf-8") as src: + match = _JSON_DATA.search(src.read()) + data = json.loads(match.group(1)) -import libxml2 -from libxml2 import xmlNode -import matplotlib.pyplot as plt -doc = libxml2.parseFile('tmtimer01.scn') -ctx = doc.xpathNewContext() - -plt.title('timer test') -plt.xscale('log') -plt.xlabel('active timers') -plt.ylabel('timer fire and cancel [ns]') - -x = map(xmlNode.getContent, ctx.xpathEval('/TMTimer01/Sample/ActiveTimers')) -for i in ['First', 'Middle', 'Last']: - y = map(xmlNode.getContent, ctx.xpathEval('/TMTimer01/Sample/' + i)) - plt.plot(x, y, label = i) -plt.legend(loc = 'best') -plt.show() +_plot(data) |