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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)
#
# 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/>.
#
"""
# Unit tests
# builds on stuff from ImageD11.test.testpeaksearch
Updated by Jerome Kieffer (jerome.kieffer@esrf.eu), 2011
28/11/2014
"""
from __future__ import print_function, with_statement, division, absolute_import
import unittest
import sys
import os
import numpy
import gzip
import bz2
if __name__ == '__main__':
import pkgutil
__path__ = pkgutil.extend_path([os.path.dirname(__file__)], "fabio.test")
from .utilstest import UtilsTest
logger = UtilsTest.get_logger(__file__)
fabio = sys.modules["fabio"]
from fabio.adscimage import adscimage
from fabio.edfimage import edfimage
# statistics come from fit2d I think
# filename dim1 dim2 min max mean stddev
TESTIMAGES = """mb_LP_1_001.img 3072 3072 0.0000 65535. 120.33 147.38
mb_LP_1_001.img.gz 3072 3072 0.0000 65535. 120.33 147.38
mb_LP_1_001.img.bz2 3072 3072 0.0000 65535. 120.33 147.38 """
class TestMatch(unittest.TestCase):
"""
check the ??fit2d?? conversion to edf gives same numbers
"""
def setUp(self):
""" Download images """
self.fn_adsc = UtilsTest.getimage("mb_LP_1_001.img.bz2")[:-4]
self.fn_edf = UtilsTest.getimage("mb_LP_1_001.edf.bz2")[:-4]
def testsame(self):
"""test ADSC image match to EDF"""
im1 = edfimage()
im1.read(self.fn_edf)
im2 = adscimage()
im2.read(self.fn_adsc)
diff = (im1.data.astype("float32") - im2.data.astype("float32"))
logger.debug("type: %s %s shape %s %s " % (im1.data.dtype, im2.data.dtype, im1.data.shape, im2.data.shape))
logger.debug("im1 min %s %s max %s %s " % (im1.data.min(), im2.data.min(), im1.data.max(), im2.data.max()))
logger.debug("delta min %s max %s mean %s" % (diff.min(), diff.max(), diff.mean()))
self.assertEqual(abs(diff).max(), 0.0, "asdc data == edf data")
class TestFlatMccdsAdsc(unittest.TestCase):
"""
"""
def setUp(self):
""" Download images """
self.im_dir = os.path.dirname(UtilsTest.getimage("mb_LP_1_001.img.bz2"))
def test_read(self):
""" check we can read flat ADSC images"""
for line in TESTIMAGES.split("\n"):
vals = line.split()
name = vals[0]
dim1, dim2 = [int(x) for x in vals[1:3]]
mini, maxi, mean, stddev = [float(x) for x in vals[3:]]
obj = adscimage()
obj.read(os.path.join(self.im_dir, name))
self.assertAlmostEqual(mini, obj.getmin(), 2, "getmin")
self.assertAlmostEqual(maxi, obj.getmax(), 2, "getmax")
got_mean = obj.getmean()
self.assertAlmostEqual(mean, got_mean, 2, "getmean exp %s != got %s" % (mean, got_mean))
self.assertAlmostEqual(stddev, obj.getstddev(), 2, "getstddev")
self.assertEqual(dim1, obj.dim1, "dim1")
self.assertEqual(dim2, obj.dim2, "dim2")
def suite():
testsuite = unittest.TestSuite()
testsuite.addTest(TestMatch("testsame"))
testsuite.addTest(TestFlatMccdsAdsc("test_read"))
return testsuite
if __name__ == '__main__':
runner = unittest.TextTestRunner()
runner.run(suite())
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