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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Project: Fast Azimuthal Integration
# https://github.com/pyFAI/pyFAI
#
# 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__ = "20/10/2014"
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 TestIntegrate1D(unittest.TestCase):
npt = 1000
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
Rmax = 3
def testQ(self):
res = {}
for m in ("numpy", "cython", "BBox" , "splitpixel", "lut", "lut_ocl"):
res[m] = self.ai.integrate1d(self.data, self.npt, method=m, radial_range=(0.5, 5.8))
for a in res:
for b in res:
R = Rwp(res[a], res[b])
mesg = "testQ: %s vs %s measured R=%s<%s" % (a, b, R, self.Rmax)
if R > self.Rmax:
logger.error(mesg)
else:
logger.info(mesg)
self.assertTrue(R <= self.Rmax, mesg)
def testR(self):
res = {}
for m in ("numpy", "cython", "BBox" , "splitpixel", "lut", "lut_ocl"):
res[m] = self.ai.integrate1d(self.data, self.npt, method=m, unit="r_mm", radial_range=(20, 150))
for a in res:
for b in res:
R = Rwp(res[a], res[b])
mesg = "testR: %s vs %s measured R=%s<%s" % (a, b, R, self.Rmax)
if R > self.Rmax:
logger.error(mesg)
else:
logger.info(mesg)
self.assertTrue(R <= self.Rmax, mesg)
def test2th(self):
res = {}
for m in ("numpy", "cython", "BBox" , "splitpixel", "lut", "lut_ocl"):
res[m] = self.ai.integrate1d(self.data, self.npt, method=m, unit="2th_deg", radial_range=(0.5, 5.5))
for a in res:
for b in res:
R = Rwp(res[a], res[b])
mesg = "test2th: %s vs %s measured R=%s<%s" % (a, b, R, self.Rmax)
if R > self.Rmax:
logger.error(mesg)
else:
logger.info(mesg)
self.assertTrue(R <= self.Rmax, mesg)
class TestIntegrate2D(unittest.TestCase):
npt = 500
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
Rmax = 20
delta_pos_azim_max = 0.28
def testQ(self):
res = {}
for m in ("numpy", "cython", "BBox" , "splitpixel"):#, "lut", "lut_ocl"):
res[m] = self.ai.integrate2d(self.data, self.npt, method=m)
mask = (res["numpy"][0] != 0)
self.assertTrue(mask.sum() > 36 * self.npt, "10%% of the pixels are valid at least")
for a in res:
for b in res:
delta_pos_rad = abs(res[a][1] - res[b][1]).max()
delta_pos_azim = abs(res[a][2] - res[b][2]).max()
R = abs((res[a][0][mask] - res[b][0][mask]) / numpy.maximum(1, res[a][0][mask])).mean() * 100
mesg = "testQ 2D: %s vs %s measured delta rad=%s azim=%s R=%s<%s" % (a, b, delta_pos_rad, delta_pos_azim, R, self.Rmax)
if R > self.Rmax:
logger.error(mesg)
else:
logger.info(mesg)
self.assertTrue(delta_pos_rad <= 0.01, mesg)
self.assertTrue(delta_pos_azim <= self.delta_pos_azim_max, mesg)
self.assertTrue(R <= self.Rmax, mesg)
def testR(self):
res = {}
for m in ("numpy", "cython", "BBox" , "splitpixel"):#, "lut", "lut_ocl"):
res[m] = self.ai.integrate2d(self.data, self.npt, method=m, unit="r_mm")#, radial_range=(20, 150))
mask = (res["numpy"][0] != 0)
self.assertTrue(mask.sum() > 36 * self.npt, "10%% of the pixels are valid at least")
for a in res:
for b in res:
delta_pos_rad = abs(res[a][1] - res[b][1]).max()
delta_pos_azim = abs(res[a][2] - res[b][2]).max()
R = abs((res[a][0][mask] - res[b][0][mask]) / numpy.maximum(1, res[a][0][mask])).mean() * 100
mesg = "testR 2D: %s vs %s measured delta rad=%s azim=%s R=%s<%s" % (a, b, delta_pos_rad, delta_pos_azim, R, self.Rmax)
if R > self.Rmax:
logger.error(mesg)
else:
logger.info(mesg)
self.assertTrue(delta_pos_rad <= 0.28, mesg)
self.assertTrue(delta_pos_azim <= self.delta_pos_azim_max, mesg)
self.assertTrue(R <= self.Rmax, mesg)
def test2th(self):
res = {}
for m in ("numpy", "cython", "BBox" , "splitpixel"):#, "lut", "lut_ocl"):
res[m] = self.ai.integrate2d(self.data, self.npt, method=m, unit="2th_deg")#, radial_range=(0.5, 5.5))
mask = (res["numpy"][0] != 0)
self.assertTrue(mask.sum() > 36 * self.npt, "10%% of the pixels are valid at least")
for a in res:
for b in res:
if a == b:
continue
delta_pos_rad = abs(res[a][1] - res[b][1]).max()
delta_pos_azim = abs(res[a][2] - res[b][2]).max()
R = abs((res[a][0][mask] - res[b][0][mask]) / numpy.maximum(1, res[a][0][mask])).mean() * 100
mesg = "test2th 2D: %s vs %s measured delta rad=%s azim=%s R=%s<%s" % (a, b, delta_pos_rad, delta_pos_azim, R, self.Rmax)
if R > self.Rmax:
logger.error(mesg)
else:
logger.info(mesg)
self.assertTrue(delta_pos_rad <= 0.01, mesg)
self.assertTrue(R <= self.Rmax, mesg)
def test_suite_all_Integrate1d():
testSuite = unittest.TestSuite()
testSuite.addTest(TestIntegrate1D("testQ"))
testSuite.addTest(TestIntegrate1D("testR"))
testSuite.addTest(TestIntegrate1D("test2th"))
testSuite.addTest(TestIntegrate2D("testQ"))
testSuite.addTest(TestIntegrate2D("testR"))
testSuite.addTest(TestIntegrate2D("test2th"))
return testSuite
if __name__ == '__main__':
mysuite = test_suite_all_Integrate1d()
runner = unittest.TextTestRunner()
runner.run(mysuite)
# if logger.getEffectiveLevel() == logging.DEBUG:
# pylab.legend()
# pylab.show()
# raw_input()
# pylab.clf()
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