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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 quick_view(structure, bonds=True, conventional=False, transform=None, show_box=True, bond_tol=0.2, stick_radius=0.1):
 """ A function to visualize pymatgen Structure objects in jupyter notebook using chemview package. Args: structure: pymatgen Structure bonds: (bool) visualize bonds. Bonds are found by comparing distances to added covalent radii of pairs. Defaults to True. conventional: (bool) use conventional cell. Defaults to False. transform: (list) can be used to make supercells with pymatgen.Structure.make_supercell method show_box: (bool) unit cell is shown. Defaults to True. bond_tol: (float) used if bonds=True. Sets the extra distance tolerance when finding bonds. stick_radius: (float) radius of bonds. Returns: A chemview.MolecularViewer object """


    s = structure.copy()
    if conventional:
        s = SpacegroupAnalyzer(s).get_conventional_standard_structure()

    if transform:
        s.make_supercell(transform)
    atom_types = [i.symbol for i in s.species]

    if bonds:
        bonds = []
        for i in range(s.num_sites - 1):
            sym_i = s[i].specie.symbol
            for j in range(i + 1, s.num_sites):
                sym_j = s[j].specie.symbol
                max_d = CovalentRadius.radius[sym_i] + CovalentRadius.radius[sym_j] + bond_tol
                if s.get_distance(i, j, np.array([0,0,0])) < max_d:
                    bonds.append((i, j))
    bonds = bonds if bonds else None

    mv = MolecularViewer(s.cart_coords, topology={'atom_types': atom_types, 'bonds': bonds})

    if bonds:
        mv.ball_and_sticks(stick_radius=stick_radius)
    for i in s.sites:
        el = i.specie.symbol
        coord = i.coords
        r = CovalentRadius.radius[el]
        mv.add_representation('spheres', {'coordinates': coord.astype('float32'),
                                          'colors': [get_atom_color(el)],
                                          'radii': [r * 0.5],
                                          'opacity': 1.0})
    if show_box:
        o = np.array([0, 0, 0])
        a, b, c = s.lattice.matrix[0], s.lattice.matrix[1], s.lattice.matrix[2]
        starts = [o, o, o, a, a, b, b, c, c, a + b, a + c, b + c]
        ends = [a, b, c, a + b, a + c, b + a, b + c, c + a, c + b, a + b + c, a + b + c, a + b + c]
        colors = [0xffffff for i in range(12)]
        mv.add_representation('lines', {'startCoords': np.array(starts),
                                        'endCoords': np.array(ends),
                                        'startColors': colors,
                                        'endColors': colors})
    return mv