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https://gitlab.rtems.org/rtems/rtos/rtems.git
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57 lines
2.3 KiB
Python
57 lines
2.3 KiB
Python
# SPDX-License-Identifier: BSD-2-Clause
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# Copyright (C) 2016, 2024 embedded brains GmbH & Co. KG
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions
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# are met:
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# 1. Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# 2. Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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# POSSIBILITY OF SUCH DAMAGE.
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import json
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import re
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import matplotlib.pyplot as plt # type: ignore
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from matplotlib import ticker # type: ignore
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def _plot(data: dict) -> None:
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_, axes = plt.subplots()
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axes.set_title("Timer Fire and Cancel Timing Test")
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axes.set_xlabel("Active Timers")
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axes.set_xscale("log")
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axes.set_ylabel("Timer Fire and Cancel Duration [us]")
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x = [sample["active-timers"] for sample in data["samples"]]
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for key in ["first", "middle", "last"]:
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y = [sample[key] / 1000.0 for sample in data["samples"]]
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axes.plot(x, y, label=f"operate on {key} timer", marker='o')
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axes.legend(loc='best')
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plt.savefig("tmtimer01.png")
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plt.savefig("tmtimer01.pdf")
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plt.close()
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_JSON_DATA = re.compile(
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r"\*\*\* BEGIN OF JSON DATA \*\*\*(.*)"
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r"\*\*\* END OF JSON DATA \*\*\*", re.DOTALL)
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with open("tmtimer01.scn", "r", encoding="utf-8") as src:
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match = _JSON_DATA.search(src.read())
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data = json.loads(match.group(1))
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_plot(data)
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