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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def associate_psds_to_segments(opt, fd_segments, gwstrain, flen, delta_f, flow, dyn_range_factor=1., precision=None):
 """Generate a set of overlapping PSDs covering the data in GWstrain. Then associate these PSDs with the appropriate segment in strain_segments. Parameters opt : object Result of parsing the CLI with OptionParser, or any object with the required attributes (psd_model, psd_file, asd_file, psd_estimation, psd_segment_length, psd_segment_stride, psd_inverse_length, psd_output). fd_segments : StrainSegments.fourier_segments() object The fourier transforms of the various analysis segments. The psd attribute of each segment is updated to point to the appropriate PSD. gwstrain : Strain object The timeseries of raw data on which to estimate PSDs. flen : int The length in samples of the output PSDs. delta_f : float The frequency step of the output PSDs. flow: float The low frequncy cutoff to use when calculating the PSD. dyn_range_factor : {1, float} For PSDs taken from models or text files, if `dyn_range_factor` is not None, then the PSD is multiplied by `dyn_range_factor` ** 2. precision : str, choices (None,'single','double') If not specified, or specified as None, the precision of the returned PSD will match the precision of the data, if measuring a PSD, or will match the default precision of the model if using an analytical PSD. If 'single' the PSD will be converted to float32, if not already in that precision. If 'double' the PSD will be converted to float64, if not already in that precision. """

    psds_and_times = generate_overlapping_psds(opt, gwstrain, flen, delta_f,
                                       flow, dyn_range_factor=dyn_range_factor,
                                       precision=precision)

    for fd_segment in fd_segments:
        best_psd = None
        psd_overlap = 0
        inp_seg = segments.segment(fd_segment.seg_slice.start,
                                   fd_segment.seg_slice.stop)
        for start_idx, end_idx, psd in psds_and_times:
            psd_seg = segments.segment(start_idx, end_idx)
            if psd_seg.intersects(inp_seg):
                curr_overlap = abs(inp_seg & psd_seg)
                if curr_overlap > psd_overlap:
                    psd_overlap = curr_overlap
                    best_psd = psd
        if best_psd is None:
            err_msg = "No PSDs found intersecting segment!"
            raise ValueError(err_msg)
        fd_segment.psd = best_psd