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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 get_rup_array(ebruptures, srcfilter=nofilter):
 """ Convert a list of EBRuptures into a numpy composite array, by filtering out the ruptures far away from every site """

    if not BaseRupture._code:
        BaseRupture.init()  # initialize rupture codes

    rups = []
    geoms = []
    nbytes = 0
    offset = 0
    for ebrupture in ebruptures:
        rup = ebrupture.rupture
        mesh = surface_to_array(rup.surface)
        sy, sz = mesh.shape[1:]  # sanity checks
        assert sy < TWO16, 'Too many multisurfaces: %d' % sy
        assert sz < TWO16, 'The rupture mesh spacing is too small'
        points = mesh.reshape(3, -1).T   # shape (n, 3)
        minlon = points[:, 0].min()
        minlat = points[:, 1].min()
        maxlon = points[:, 0].max()
        maxlat = points[:, 1].max()
        if srcfilter.integration_distance and len(srcfilter.close_sids(
                (minlon, minlat, maxlon, maxlat),
                rup.tectonic_region_type, rup.mag)) == 0:
            continue
        hypo = rup.hypocenter.x, rup.hypocenter.y, rup.hypocenter.z
        rate = getattr(rup, 'occurrence_rate', numpy.nan)
        tup = (ebrupture.serial, ebrupture.srcidx, ebrupture.grp_id,
               rup.code, ebrupture.n_occ, rup.mag, rup.rake, rate,
               minlon, minlat, maxlon, maxlat,
               hypo, offset, offset + len(points), sy, sz)
        offset += len(points)
        rups.append(tup)
        geoms.append(numpy.array([tuple(p) for p in points], point3d))
        nbytes += rupture_dt.itemsize + mesh.nbytes
    if not rups:
        return ()
    dic = dict(geom=numpy.concatenate(geoms), nbytes=nbytes)
    # TODO: PMFs for nonparametric ruptures are not converted
    return hdf5.ArrayWrapper(numpy.array(rups, rupture_dt), dic)