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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 population_variant_regions(items, merged=False):
 """Retrieve the variant region BED file from a population of items. If tumor/normal, return the tumor BED file. If a population, return the BED file covering the most bases. """

    def _get_variant_regions(data):
        out = dd.get_variant_regions(data) or dd.get_sample_callable(data)
        # Only need to merge for variant region inputs, not callable BED regions which don't overlap
        if merged and dd.get_variant_regions(data):
            merged_out = dd.get_variant_regions_merged(data)
            if merged_out:
                out = merged_out
            else:
                out = merge_overlaps(out, data)
        return out
    import pybedtools
    if len(items) == 1:
        return _get_variant_regions(items[0])
    else:
        paired = vcfutils.get_paired(items)
        if paired:
            return _get_variant_regions(paired.tumor_data)
        else:
            vrs = []
            for data in items:
                vr_bed = _get_variant_regions(data)
                if vr_bed:
                    vrs.append((pybedtools.BedTool(vr_bed).total_coverage(), vr_bed))
            vrs.sort(reverse=True)
            if vrs:
                return vrs[0][1]