1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
|
#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2014 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
__author__ = "V. Armando Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import unittest
import os
import numpy
class testGefit(unittest.TestCase):
def setUp(self):
"""
import the module
"""
try:
from PyMca5.PyMcaMath.fitting import Gefit
self.gefit = Gefit
except:
self.gefit = None
def gaussianPlusLinearBackground(self, param, t):
dummy = 2.3548200450309493 * (t - param[3])/ param[4]
return param[0] + param[1] * t +\
param[2] * numpy.exp(-0.5 * dummy * dummy)
def testGefitImport(self):
self.assertTrue(self.gefit is not None)
def testGefitLeastSquares(self):
self.testGefitImport()
x = numpy.arange(500.)
originalParameters = numpy.array([10.5, 2, 1000.0, 200., 100],
numpy.float64)
fitFunction = self.gaussianPlusLinearBackground
y = fitFunction(originalParameters, x)
startingParameters = [0.0 ,1.0,900.0, 150., 90]
fittedpar, chisq, sigmapar =self.gefit.LeastSquaresFit(fitFunction,
startingParameters,
xdata=x,
ydata=y,
sigmadata=None)
for i in range(len(originalParameters)):
self.assertTrue(abs(fittedpar[i] - originalParameters[i]) < 0.01)
def getSuite(auto=True):
testSuite = unittest.TestSuite()
if auto:
testSuite.addTest(\
unittest.TestLoader().loadTestsFromTestCase(testGefit))
else:
# use a predefined order
testSuite.addTest(testGefit("testGefitImport"))
testSuite.addTest(testGefit("testGefitLeastSquares"))
return testSuite
def test(auto=False):
unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto))
if __name__ == '__main__':
test()
|
