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Diffstat (limited to 'src/silx/math/fit/test/test_peaks.py')
| -rw-r--r-- | src/silx/math/fit/test/test_peaks.py | 132 |
1 files changed, 132 insertions, 0 deletions
diff --git a/src/silx/math/fit/test/test_peaks.py b/src/silx/math/fit/test/test_peaks.py new file mode 100644 index 0000000..495c70d --- /dev/null +++ b/src/silx/math/fit/test/test_peaks.py @@ -0,0 +1,132 @@ +# coding: utf-8 +# /*########################################################################## +# Copyright (C) 2016 European Synchrotron Radiation Facility +# +# 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. +# +# ############################################################################*/ +""" +Tests for peaks module +""" + +import unittest +import numpy +import math + +from silx.math.fit import functions +from silx.math.fit import peaks + +class Test_peak_search(unittest.TestCase): + """ + Unit tests of peak_search on various types of multi-peak functions. + """ + def setUp(self): + self.x = numpy.arange(5000) + # (height1, center1, fwhm1, ...) + self.h_c_fwhm = (50, 500, 100, + 50, 600, 80, + 20, 2000, 100, + 50, 2250, 110, + 40, 3000, 99, + 23, 4980, 80) + # (height1, center1, fwhm1, eta1 ...) + self.h_c_fwhm_eta = (50, 500, 100, 0.4, + 50, 600, 80, 0.5, + 20, 2000, 100, 0.6, + 50, 2250, 110, 0.7, + 40, 3000, 99, 0.8, + 23, 4980, 80, 0.3,) + # (height1, center1, fwhm11, fwhm21, ...) + self.h_c_fwhm_fwhm = (50, 500, 100, 85, + 50, 600, 80, 110, + 20, 2000, 100, 100, + 50, 2250, 110, 99, + 40, 3000, 99, 110, + 23, 4980, 80, 80,) + # (height1, center1, fwhm11, fwhm21, eta1 ...) + self.h_c_fwhm_fwhm_eta = (50, 500, 100, 85, 0.4, + 50, 600, 80, 110, 0.5, + 20, 2000, 100, 100, 0.6, + 50, 2250, 110, 99, 0.7, + 40, 3000, 99, 110, 0.8, + 23, 4980, 80, 80, 0.3,) + # (area1, center1, fwhm1, ...) + self.a_c_fwhm = (2550, 500, 100, + 2000, 600, 80, + 500, 2000, 100, + 4000, 2250, 110, + 2300, 3000, 99, + 3333, 4980, 80) + # (area1, center1, fwhm1, eta1 ...) + self.a_c_fwhm_eta = (500, 500, 100, 0.4, + 500, 600, 80, 0.5, + 200, 2000, 100, 0.6, + 500, 2250, 110, 0.7, + 400, 3000, 99, 0.8, + 230, 4980, 80, 0.3,) + # (area, position, fwhm, st_area_r, st_slope_r, lt_area_r, lt_slope_r, step_height_r) + self.hypermet_params = (1000, 500, 200, 0.2, 100, 0.3, 100, 0.05, + 1000, 1000, 200, 0.2, 100, 0.3, 100, 0.05, + 1000, 2000, 200, 0.2, 100, 0.3, 100, 0.05, + 1000, 2350, 200, 0.2, 100, 0.3, 100, 0.05, + 1000, 3000, 200, 0.2, 100, 0.3, 100, 0.05, + 1000, 4900, 200, 0.2, 100, 0.3, 100, 0.05,) + + + def tearDown(self): + pass + + def get_peaks(self, function, params): + """ + + :param function: Multi-peak function + :param params: Parameter for this function + :return: list of (peak, relevance) tuples + """ + y = function(self.x, *params) + return peaks.peak_search(y=y, fwhm=100, relevance_info=True) + + def testPeakSearch_various_functions(self): + """Run peak search on a variety of synthetic functions, and + check that result falls within +-25 samples of the actual peak + (reasonable delta considering a fwhm of ~100 samples) and effects + of overlapping peaks).""" + f_p = ((functions.sum_gauss, self.h_c_fwhm ), + (functions.sum_lorentz, self.h_c_fwhm), + (functions.sum_pvoigt, self.h_c_fwhm_eta), + (functions.sum_splitgauss, self.h_c_fwhm_fwhm), + (functions.sum_splitlorentz, self.h_c_fwhm_fwhm), + (functions.sum_splitpvoigt, self.h_c_fwhm_fwhm_eta), + (functions.sum_agauss, self.a_c_fwhm), + (functions.sum_fastagauss, self.a_c_fwhm), + (functions.sum_alorentz, self.a_c_fwhm), + (functions.sum_apvoigt, self.a_c_fwhm_eta), + (functions.sum_ahypermet, self.hypermet_params), + (functions.sum_fastahypermet, self.hypermet_params),) + + for function, params in f_p: + peaks = self.get_peaks(function, params) + + self.assertEqual(len(peaks), 6, + "Wrong number of peaks detected") + + for i in range(6): + theoretical_peak_index = params[i*(len(params)//6) + 1] + found_peak_index = peaks[i][0] + self.assertLess(abs(found_peak_index - theoretical_peak_index), 25) |