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# SPDX-License-Identifier: BSD-2-Clause

#!/usr/bin/env python

#
# 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.
#
# 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 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()