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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 calc_registration(preregistration_map, anchors,
                      max_steps=2000, max_step_size=0.05, method='random'):
    '''
    calc_registration is a calculator that creates the registration coordinates.
    '''
    # if max steps is a tuple (max, stride) then a trajectory is saved into
    # the registered_map meta-data
    pmap = preregistration_map
    if is_tuple(max_steps) or is_list(max_steps):
        (max_steps, stride) = max_steps
        traj = [preregistration_map.coordinates]
        x = preregistration_map.coordinates
        for s in np.arange(0, max_steps, stride):
            x = mesh_register(
                preregistration_map,
                [['edge',      'harmonic',      'scale', 1.0],
                 ['angle',     'infinite-well', 'scale', 1.0],
                 ['perimeter', 'harmonic'],
                 anchors],
                initial_coordinates=x,
                method=method,
                max_steps=stride,
                max_step_size=max_step_size)
            traj.append(x)
        pmap = pmap.with_meta(trajectory=np.asarray(traj))
    else:
        x = mesh_register(
            preregistration_map,
            [['edge',      'harmonic',      'scale', 1.0],
             ['angle',     'infinite-well', 'scale', 1.0],
             ['perimeter', 'harmonic'],
             anchors],
            method=method,
            max_steps=max_steps,
            max_step_size=max_step_size)
    return pmap.copy(coordinates=x)