# SPDX-License-Identifier: BSD-2-Clause
# Copyright (C) 2016, 2024 embedded brains GmbH & Co. KG
#
# 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
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# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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# 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))
_plot(data)