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File indexing completed on 2025-05-11 08:24:50

0001 # SPDX-License-Identifier: BSD-2-Clause
0002 
0003 # Copyright (C) 2016, 2024 embedded brains GmbH & Co. KG
0004 #
0005 # Redistribution and use in source and binary forms, with or without
0006 # modification, are permitted provided that the following conditions
0007 # are met:
0008 # 1. Redistributions of source code must retain the above copyright
0009 #    notice, this list of conditions and the following disclaimer.
0010 # 2. Redistributions in binary form must reproduce the above copyright
0011 #    notice, this list of conditions and the following disclaimer in the
0012 #    documentation and/or other materials provided with the distribution.
0013 #
0014 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
0015 # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
0016 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
0017 # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
0018 # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
0019 # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
0020 # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
0021 # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
0022 # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
0023 # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
0024 # POSSIBILITY OF SUCH DAMAGE.
0025 
0026 import json
0027 import re
0028 import matplotlib.pyplot as plt  # type: ignore
0029 from matplotlib import ticker  # type: ignore
0030 
0031 
0032 def _plot(data: dict) -> None:
0033     _, axes = plt.subplots()
0034     axes.set_title("Timer Fire and Cancel Timing Test")
0035     axes.set_xlabel("Active Timers")
0036     axes.set_xscale("log")
0037     axes.set_ylabel("Timer Fire and Cancel Duration [μs]")
0038     x = [sample["active-timers"] for sample in data["samples"]]
0039     for key in ["first", "middle", "last"]:
0040         y = [sample[key] / 1000.0 for sample in data["samples"]]
0041         axes.plot(x, y, label=f"operate on {key} timer", marker='o')
0042     axes.legend(loc='best')
0043     plt.savefig("tmtimer01.png")
0044     plt.savefig("tmtimer01.pdf")
0045     plt.close()
0046 
0047 
0048 _JSON_DATA = re.compile(
0049     r"\*\*\* BEGIN OF JSON DATA \*\*\*(.*)"
0050     r"\*\*\* END OF JSON DATA \*\*\*", re.DOTALL)
0051 
0052 with open("tmtimer01.scn", "r", encoding="utf-8") as src:
0053     match = _JSON_DATA.search(src.read())
0054     data = json.loads(match.group(1))
0055 
0056 _plot(data)