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-rw-r--r--testsuites/tmtests/tmfine01/tmfine01.py116
1 files changed, 58 insertions, 58 deletions
diff --git a/testsuites/tmtests/tmfine01/tmfine01.py b/testsuites/tmtests/tmfine01/tmfine01.py
index 3cbcbbd4d4..54363bee34 100644
--- a/testsuites/tmtests/tmfine01/tmfine01.py
+++ b/testsuites/tmtests/tmfine01/tmfine01.py
@@ -1,62 +1,62 @@
-#!/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('tmfine01.scn').read()
-data = re.sub(r'\*\*\*.*\*\*\*', '', data)
-doc = libxml2.parseDoc(data)
-ctx = doc.xpathNewContext()
-
-plt.yscale('log')
-plt.title('Uncontested Mutex Performance')
-plt.xlabel('Active Workers')
-plt.ylabel('Operation Count')
-
-def m(n):
- return int(n.getContent())
-
-def getCounterSums(variant):
- w = 1
- y = []
- while True:
- c = map(m, ctx.xpathEval('/TestTimeFine01/' + variant + '[@activeWorker="' + str(w) + '"]/Counter'))
- if not c:
- break
- y.append(sum(c))
- w = w + 1
- return y
-
-y = getCounterSums('ManySysLockMutex')
-x = range(1, len(y) + 1)
-plt.plot(x, y, label = 'Sys Lock Mutex', marker = 'o')
-
-y = getCounterSums('ManyMutex')
-plt.plot(x, y, label = 'Classic Inheritance Mutex', marker = 'o')
-
-y = getCounterSums('ManyClassicCeilingMutex')
-plt.plot(x, y, label = 'Classic Ceiling Mutex', marker = 'o')
-
-y = getCounterSums('ManyClassicMrsPMutex')
-plt.plot(x, y, label = 'Classic MrsP Mutex', marker = 'o')
-
-y = getCounterSums('ManyPthreadSpinlock')
-plt.plot(x, y, label = 'Pthread Spinlock', marker = 'o')
-
-y = getCounterSums('ManyPthreadMutexInherit')
-plt.plot(x, y, label = 'Pthread Mutex Inherit', marker = 'o')
-
-y = getCounterSums('ManyPthreadMutexProtect')
-plt.plot(x, y, label = 'Pthread Mutex Protect', 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("Uncontested Mutex Performance")
+ axes.set_xlabel("Active Workers")
+ axes.set_ylabel("Operation Count")
+ x = list(range(1, len(data[0]["counter"]) + 1))
+ axes.xaxis.set_major_locator(ticker.FixedLocator(x))
+ for samples in data:
+ if samples["type"] != "private-mutex":
+ continue
+ y = [sum(values) for values in samples["counter"]]
+ axes.plot(x,
+ y,
+ label=samples["description"].replace(
+ "Obtain/Release Private ", ""),
+ marker="o")
+ axes.legend(loc="best")
+ plt.savefig("tmfine01.png")
+ plt.savefig("tmfine01.pdf")
+ plt.close()
+
+
+_JSON_DATA = re.compile(
+ r"\*\*\* BEGIN OF JSON DATA \*\*\*(.*)"
+ r"\*\*\* END OF JSON DATA \*\*\*", re.DOTALL)
+
+with open("tmfine01.scn", "r", encoding="utf-8") as src:
+ match = _JSON_DATA.search(src.read())
+ data = json.loads(match.group(1))
+
+_plot(data)