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
|
#!/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 numpy
import logging
import sys
import fabio
import time
from utilstest import UtilsTest, getLogger
logger = getLogger(__file__)
pyFAI = sys.modules["pyFAI"]
if logger.getEffectiveLevel() <= logging.INFO:
import pylab
from pyFAI import spline, _bispev
try:
from scipy.interpolate import fitpack
except:
fitpack = None
class TestBispev(unittest.TestCase):
spinefile = "1461/halfccd.spline"
def setUp(self):
"""Download files"""
self.splineFile = UtilsTest.getimage(self.__class__.spinefile)
self.spline = spline.Spline(self.splineFile)
self.spline.spline2array(timing=True)
def test_bispev(self):
print
x_1d_array = numpy.arange(self.spline.xmin, self.spline.xmax + 1)
y_1d_array = numpy.arange(self.spline.ymin, self.spline.ymax + 1)
t0 = time.time()
dx_ref = fitpack.bisplev(
x_1d_array, y_1d_array, [self.spline.xSplineKnotsX,
self.spline.xSplineKnotsY,
self.spline.xSplineCoeff,
self.spline.splineOrder,
self.spline.splineOrder],
dx=0, dy=0)
t1 = time.time()
print self.spline.xSplineKnotsX.dtype
print self.spline.xSplineKnotsY.dtype
print self.spline.xSplineCoeff.dtype
dx_loc = _bispev.bisplev(
x_1d_array, y_1d_array, [self.spline.xSplineKnotsX,
self.spline.xSplineKnotsY,
self.spline.xSplineCoeff,
self.spline.splineOrder,
self.spline.splineOrder],
)
t2 = time.time()
print("Scipy timings: %.3fs\t cython timings: %.3fs" % (t1 - t0, t2 - t1))
print(dx_ref.shape, dx_loc.shape)
print(dx_ref)
print(dx_loc)
print(abs(dx_loc - dx_ref).max())
if logger.getEffectiveLevel() == logging.DEBUG:
fig = pylab.figure()
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
ax1.imshow(dx_ref)
ax2.imshow(dx_loc)
fig.show()
raw_input()
self.assert_(abs(dx_loc - dx_ref).max() < 2e-5, "Result are similar")
def test_suite_all_bispev():
testSuite = unittest.TestSuite()
testSuite.addTest(TestBispev("test_bispev"))
return testSuite
if __name__ == '__main__':
mysuite = test_suite_all_bispev()
runner = unittest.TextTestRunner()
runner.run(mysuite)
|