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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 topology_to_numpy(top):
 """Convert this topology into a pandas dataframe Returns ------- atoms : np.ndarray dtype=[("serial", 'i4'), ("name", 'S4'), ("element", 'S3'), ("resSeq", 'i4'), ("resName",'S4'), ("chainID", 'i4'), ("segmentID", 'S4')] The atoms in the topology, represented as a data frame. bonds : np.ndarray The bonds in this topology, represented as an n_bonds x 2 array of the indices of the atoms involved in each bond. """

    data = [(atom.serial, atom.name, atom.element.symbol,
             atom.residue.resSeq, atom.residue.name,
             atom.residue.chain.index, atom.segment_id) for atom in top.atoms]
    atoms = np.array(data,
                     dtype=[("serial", 'i4'), ("name", 'S4'), ("element", 'S3'),
                            ("resSeq", 'i4'), ("resName", 'S4'), ("chainID", 'i4'), ("segmentID", 'S4')])

    bonds = np.fromiter(((a.index, b.index) for (a, b) in top.bonds), dtype='i4,i4', count=top.n_bonds)
    return atoms, bonds