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# This file is part of xrayutilities.
#
# xrayutilities 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 2 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/>.
#
# Copyright (C) 2015-2020 Dominik Kriegner <dominik.kriegner@gmail.com>
import os.path
import unittest
import numpy
import xrayutilities as xu
testfile = "pilatus100K.tif"
datadir = os.path.join(os.path.dirname(__file__), "data")
fullfilename = os.path.join(datadir, testfile)
@unittest.skipIf(
not os.path.isfile(fullfilename),
"additional test data needed (http://xrayutilities.sf.io)",
)
class TestCCD_Normalizer(unittest.TestCase):
dshape = (2, 195, 487)
dmax = 0.1
dmin = -0.2
nmax = 21
@classmethod
def setUpClass(cls):
imgreader = xu.io.Pilatus100K()
cls.img = imgreader.readImage(testfile, path=datadir)
cls.ccddata = numpy.asarray((cls.img, 2 * cls.img))
cls.fakedata = numpy.array(
[(1.0, 10.0), (2.0, 21.0)],
dtype=[("time", float), ("moni", float)],
)
cls.normalizer = xu.IntensityNormalizer(
mon="moni", time="time", av_mon=1.0
)
cls.normdata = cls.normalizer(cls.fakedata, ccd=cls.ccddata)
def test_datashape(self):
self.assertTrue(numpy.all(self.dshape == self.normdata.shape))
def test_datavalues(self):
self.assertAlmostEqual(self.dmax, self.normdata.max(), places=10)
self.assertAlmostEqual(self.dmin, self.normdata.min(), places=10)
testhist, binedges = numpy.histogram(self.normdata, bins=30)
self.assertEqual(self.nmax, testhist[-1])
if __name__ == "__main__":
unittest.main()
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