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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Project: Fable Input Output
# https://github.com/silx-kit/fabio
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# 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.
#
"""
# Unit tests
# builds on stuff from ImageD11.test.testpeaksearch
"""
import unittest
import numpy
import logging
logger = logging.getLogger(__name__)
import fabio.xsdimage
from ..utilstest import UtilsTest
# filename dim1 dim2 min max mean stddev values are from OD Sapphire 3.0
TESTIMAGES = """XSDataImage.xml 512 512 86 61204 511.63 667.15
XSDataImageInv.xml 512 512 -0.2814 0.22705039 2.81e-08 0.010"""
class TestXSD(unittest.TestCase):
def setUp(self):
if fabio.xsdimage.etree is None:
self.skipTest("etree is not available")
self.fn = {}
for i in ["XSDataImage.edf", "XSDataImage.xml", "XSDataImageInv.xml"]:
self.fn[i] = UtilsTest.getimage(i + ".bz2")[:-4]
def test_read(self):
"Test reading of XSD images"
for line in TESTIMAGES.split("\n"):
vals = line.split()
name = vals[0]
dim1, dim2 = [int(x) for x in vals[1:3]]
shape = dim2, dim1
mini, maxi, mean, stddev = [float(x) for x in vals[3:]]
obj = fabio.xsdimage.xsdimage()
obj.read(self.fn[name])
self.assertAlmostEqual(mini, obj.getmin(), 2, "getmin")
self.assertAlmostEqual(maxi, obj.getmax(), 2, "getmax")
self.assertAlmostEqual(mean, obj.getmean(), 2, "getmean")
logger.info("%s %s %s" % (name, stddev, obj.getstddev()))
self.assertAlmostEqual(stddev, obj.getstddev(), 2, "getstddev")
self.assertEqual(shape, obj.shape)
def test_same(self):
""" test if an image is the same as the EDF equivalent"""
xsd = fabio.open(self.fn["XSDataImage.xml"])
edf = fabio.open(self.fn["XSDataImage.edf"])
self.assertAlmostEqual(0, abs(xsd.data - edf.data).max(), 1, "images are the same")
def test_invert(self):
""" Tests that 2 matrixes are invert """
m1 = fabio.open(self.fn["XSDataImage.xml"])
m2 = fabio.open(self.fn["XSDataImageInv.xml"])
delta = abs(numpy.dot(m1.data, m2.data) - numpy.identity(m1.data.shape[0])).max()
if delta >= 1e-3:
logger.error("Matrices are not invert of each other !!! prod = %s", numpy.matrix(m1.data) * numpy.matrix(m2.data))
self.assertTrue(delta < 1e-3, "matrices are invert of each other")
def suite():
loadTests = unittest.defaultTestLoader.loadTestsFromTestCase
testsuite = unittest.TestSuite()
testsuite.addTest(loadTests(TestXSD))
return testsuite
if __name__ == '__main__':
runner = unittest.TextTestRunner()
runner.run(suite())
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