def test_find_peaks_withnoise(self):
        """
        Verify that peak locations are (approximately) found
        for a series of gaussians with added noise.
        """
        sigmas = [5.0, 3.0, 10.0, 20.0, 10.0, 50.0]
        num_points = 500
        test_data, act_locs = _gen_gaussians_even(sigmas, num_points)
        widths = np.arange(0.1, max(sigmas))
        noise_amp = 0.07
        np.random.seed(18181911)
        test_data += (np.random.rand(num_points) - 0.5)*(2*noise_amp)
        found_locs = find_peaks_cwt(test_data, widths, min_length=15,
                                         gap_thresh=1, min_snr=noise_amp / 5)

        np.testing.assert_equal(len(found_locs), len(act_locs), 'Different number' +
                                'of peaks found than expected')
        diffs = np.abs(found_locs - act_locs)
        max_diffs = np.array(sigmas) / 5
        np.testing.assert_array_less(diffs, max_diffs, 'Maximum location differed' +
                                     'by more than %s' % (max_diffs))
dataset/ETHPy150Open scipy/scipy/scipy/signal/tests/test_peak_finding.py/TestFindPeaks.test_find_peaks_withnoise/original