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
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Project: Azimuthal integration
# https://forge.epn-campus.eu/projects/azimuthal
#
# File: "$Id$"
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
"test suite for masked arrays"
__author__ = "Jérôme Kieffer"
__contact__ = "Jerome.Kieffer@ESRF.eu"
__license__ = "GPLv3+"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__date__ = "16/11/2012"
import unittest
import os
import numpy
import logging, time
import sys
import fabio
from utilstest import UtilsTest, Rwp, getLogger
logger = getLogger(__file__)
pyFAI = sys.modules["pyFAI"]
if logger.getEffectiveLevel() <= logging.INFO:
import pylab
class TestSaxs(unittest.TestCase):
img = UtilsTest.getimage("1883/Pilatus1M.edf")
data = fabio.open(img).data
ai = pyFAI.AzimuthalIntegrator(1.58323111834, 0.0334170169115, 0.0412277798782, 0.00648735642526, 0.00755810191106, 0.0, detector=pyFAI.detectors.Pilatus1M())
ai.wavelength = 1e-10
npt = 1000
def testMask(self):
ss = self.ai.mask.sum()
self.assertTrue(ss == 73533, "masked pixel = %s expected 73533" % ss)
def testNumpy(self):
qref, Iref, s = self.ai.saxs(self.data, self.npt)
q, I, s = self.ai.saxs(self.data, self.npt, error_model="poisson", method="numpy")
self.assertTrue(q[0] > 0, "q[0]>0 %s" % q[0])
self.assertTrue(q[-1] < 8, "q[-1] < 8, got %s" % q[-1])
self.assertTrue(s.min() >= 0, "s.min() >= 0 got %s" % (s.min()))
self.assertTrue(s.max() < 21, "s.max() < 21 got %s" % (s.max()))
self.assertTrue(I.max() < 52000, "I.max() < 52000 got %s" % (I.max()))
self.assertTrue(I.min() >= 0, "I.min() >= 0 got %s" % (I.min()))
R = Rwp((q, I), (qref, Iref))
if R > 20: logger.error("Numpy has R=%s" % R)
if logger.getEffectiveLevel() == logging.DEBUG:
pylab.errorbar(q, I, s, label="Numpy R=%.1f" % R)
pylab.yscale("log")
self.assertTrue(R < 20, "Numpy: Measure R=%s<2" % R)
def testCython(self):
qref, Iref, s = self.ai.saxs(self.data, self.npt)
q, I, s = self.ai.saxs(self.data, self.npt, error_model="poisson", method="cython")
self.assertTrue(q[0] > 0, "q[0]>0 %s" % q[0])
self.assertTrue(q[-1] < 8, "q[-1] < 8, got %s" % q[-1])
self.assertTrue(s.min() >= 0, "s.min() >= 0 got %s" % (s.min()))
self.assertTrue(s.max() < 21, "s.max() < 21 got %s" % (s.max()))
self.assertTrue(I.max() < 52000, "I.max() < 52000 got %s" % (I.max()))
self.assertTrue(I.min() >= 0, "I.min() >= 0 got %s" % (I.min()))
R = Rwp((q, I), (qref, Iref))
if R > 20: logger.error("Cython has R=%s" % R)
if logger.getEffectiveLevel() == logging.DEBUG:
pylab.errorbar(q, I, s, label="Cython R=%.1f" % R)
pylab.yscale("log")
self.assertTrue(R < 20, "Cython: Measure R=%s<2" % R)
def testSplitBBox(self):
qref, Iref, s = self.ai.saxs(self.data, self.npt)
q, I, s = self.ai.saxs(self.data, self.npt, error_model="poisson", method="splitbbox")
self.assertTrue(q[0] > 0, "q[0]>0 %s" % q[0])
self.assertTrue(q[-1] < 8, "q[-1] < 8, got %s" % q[-1])
self.assertTrue(s.min() >= 0, "s.min() >= 0 got %s" % (s.min()))
self.assertTrue(s.max() < 21, "s.max() < 21 got %s" % (s.max()))
self.assertTrue(I.max() < 52000, "I.max() < 52000 got %s" % (I.max()))
self.assertTrue(I.min() >= 0, "I.min() >= 0 got %s" % (I.min()))
R = Rwp((q, I), (qref, Iref))
if R > 20: logger.error("SplitPixel has R=%s" % R)
if logger.getEffectiveLevel() == logging.DEBUG:
pylab.errorbar(q, I, s, label="SplitBBox R=%.1f" % R)
pylab.yscale("log")
self.assertEqual(R < 20, True, "SplitBBox: Measure R=%s<20" % R)
def testSplitPixel(self):
qref, Iref, s = self.ai.saxs(self.data, self.npt)
q, I, s = self.ai.saxs(self.data, self.npt, error_model="poisson", method="splitpixel")
self.assertTrue(q[0] > 0, "q[0]>0 %s" % q[0])
self.assertTrue(q[-1] < 8, "q[-1] < 8, got %s" % q[-1])
self.assertTrue(s.min() >= 0, "s.min() >= 0 got %s" % (s.min()))
self.assertTrue(s.max() < 21, "s.max() < 21 got %s" % (s.max()))
self.assertTrue(I.max() < 52000, "I.max() < 52000 got %s" % (I.max()))
self.assertTrue(I.min() >= 0, "I.min() >= 0 got %s" % (I.min()))
R = Rwp((q, I), (qref, Iref))
if R > 20: logger.error("SplitPixel has R=%s" % R)
if logger.getEffectiveLevel() == logging.DEBUG:
pylab.errorbar(q, I, s, label="SplitPixel R=%.1f" % R)
pylab.yscale("log")
self.assertEqual(R < 20, True, "SplitPixel: Measure R=%s<20" % R)
def test_suite_all_Saxs():
testSuite = unittest.TestSuite()
testSuite.addTest(TestSaxs("testMask"))
testSuite.addTest(TestSaxs("testNumpy"))
# testSuite.addTest(TestSaxs("testCython"))
testSuite.addTest(TestSaxs("testSplitBBox"))
testSuite.addTest(TestSaxs("testSplitPixel"))
# testSuite.addTest(TestSaxs("test_mask_splitBBox"))
# testSuite.addTest(TestSaxs("test_mask_splitBBox"))
# testSuite.addTest(TestSaxs("test_mask_splitBBox"))
# testSuite.addTest(TestSaxs("test_mask_splitBBox"))
return testSuite
if __name__ == '__main__':
mysuite = test_suite_all_Saxs()
runner = unittest.TextTestRunner()
runner.run(mysuite)
if logger.getEffectiveLevel() == logging.DEBUG:
pylab.legend()
pylab.show()
raw_input()
pylab.clf()
|
