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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 find_covalent_bonds(ampal, max_range=2.2, threshold=1.1, tag=True):
 """Finds all covalent bonds in the AMPAL object. Parameters ampal : AMPAL Object Any AMPAL object with a `get_atoms` method. max_range : float, optional Used to define the sector size, so interactions at longer ranges will not be found. threshold : float, optional Allows deviation from ideal covalent bond distance to be included. For example, a value of 1.1 would allow interactions up to 10% further from the ideal distance to be included. tag : bool, optional If `True`, will add the covalent bond to the tags dictionary of each `Atom` involved in the interaction under the `covalent_bonds` key. """

    sectors=gen_sectors(ampal.get_atoms(), max_range * 1.1)
    bonds=[]
    for sector in sectors.values():
        atoms=itertools.combinations(sector, 2)
        bonds.extend(covalent_bonds(atoms, threshold=threshold))
    bond_set=list(set(bonds))
    if tag:
        for bond in bond_set:
            a, b=bond.a, bond.b
            if 'covalent_bonds' not in a.tags:
                a.tags['covalent_bonds']=[b]
            else:
                a.tags['covalent_bonds'].append(b)
            if 'covalent_bonds' not in b.tags:
                b.tags['covalent_bonds']=[a]
            else:
                b.tags['covalent_bonds'].append(a)
    return bond_set