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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 bader_analysis_from_objects(chgcar, potcar=None, aeccar0=None, aeccar2=None):
 """ Convenience method to run Bader analysis from a set of pymatgen Chgcar and Potcar objects. This method will: 1. If aeccar objects are present, constructs a temporary reference file as AECCAR0 + AECCAR2 2. Runs Bader analysis twice: once for charge, and a second time for the charge difference (magnetization density). :param chgcar: Chgcar object :param potcar: (optional) Potcar object :param aeccar0: (optional) Chgcar object from aeccar0 file :param aeccar2: (optional) Chgcar object from aeccar2 file :return: summary dict """


    with ScratchDir(".") as temp_dir:

        if aeccar0 and aeccar2:
            # construct reference file
            chgref = aeccar0.linear_add(aeccar2)
            chgref_path = os.path.join(temp_dir, 'CHGCAR_ref')
            chgref.write_file(chgref_path)
        else:
            chgref_path = None

        chgcar.write_file('CHGCAR')
        chgcar_path = os.path.join(temp_dir, 'CHGCAR')

        if potcar:
            potcar.write_file('POTCAR')
            potcar_path = os.path.join(temp_dir, 'POTCAR')
        else:
            potcar_path = None

        ba = BaderAnalysis(chgcar_path, potcar_filename=potcar_path, chgref_filename=chgref_path)

        summary = {
            "min_dist": [d['min_dist'] for d in ba.data],
            "charge": [d['charge'] for d in ba.data],
            "atomic_volume": [d['atomic_vol'] for d in ba.data],
            "vacuum_charge": ba.vacuum_charge,
            "vacuum_volume": ba.vacuum_volume,
            "reference_used": True if chgref_path else False,
            "bader_version": ba.version,
        }

        if potcar:
            charge_transfer = [ba.get_charge_transfer(i) for i in range(len(ba.data))]
            summary['charge_transfer'] = charge_transfer

        if chgcar.is_spin_polarized:
            # write a CHGCAR containing magnetization density only
            chgcar.data['total'] = chgcar.data['diff']
            chgcar.is_spin_polarized = False
            chgcar.write_file('CHGCAR_mag')

            chgcar_mag_path = os.path.join(temp_dir, 'CHGCAR_mag')
            ba = BaderAnalysis(chgcar_mag_path, potcar_filename=potcar_path, chgref_filename=chgref_path)
            summary["magmom"] = [d['charge'] for d in ba.data]

        return summary