human
I wrote the below code

    graphs_seen = set()
    def wrapped_replacer(graph):
        if (graph in graphs_seen):
            return graph
        else:
            new_graph = replacer(graph)
            graphs_seen.add(new_graph)
            return new_graph
    graphs = list(graphs)
    inputs_ = list(set((gof.graph.inputs(graphs) + list(additional_inputs))))
    new_inputs = list(map(wrapped_replacer, inputs_))
    replacements = [(input_, new_input) for (input_, new_input) in zip(inputs_, new_inputs) if (new_input is not input_)]
    graphs = clone(graphs, share_inputs=True, replace=replacements)
    inputs_ = list(set((gof.graph.inputs(graphs) + list(additional_inputs))))
    cached_constants = [x for x in inputs_ if getattr(x, 'cached', False)]
    copied_constants = clone(cached_constants, share_inputs=False)
    replacements = list(zip(cached_constants, copied_constants))
    inputs_ = (list((set(inputs_) - set(cached_constants))) + list(copied_constants))
    graphs = clone(graphs, share_inputs=True, replace=replacements)
    fg = gof.fg.FunctionGraph(inputs_, graphs, clone=False)
    nodes_seen = set()
    @gof.opt.local_optimizer(None)
    def local_transform(node):
        if (node in nodes_seen):
            return False
        from theano.scan_module.scan_op import Scan
        from theano.compile import OpFromGraph
        if isinstance(node.op, (Scan, OpFromGraph)):
            (new_inner_inputs, new_outer_inputs, new_inner_outputs) = _map_variables_inner(wrapped_replacer, inner_inputs=node.op.inputs, outer_inputs=node.inputs, inner_outputs=node.op.outputs, containing_op=node.op)
            if isinstance(node.op, Scan):
                new_op = Scan(new_inner_inputs, new_inner_outputs, node.op.info, typeConstructor=None)
            elif isinstance(node.op, OpFromGraph):
                new_op = OpFromGraph(new_inner_inputs, new_inner_outputs, **node.op.kwargs)
            new_node = new_op.make_node(*new_outer_inputs)
            nodes_seen.add(new_node)
            return new_node.outputs
        else:
       ...

What's a good function header?

=====
Here's a good function header?
assistant
#Here's a good function header.

def map_variables(replacer, graphs, additional_inputs=[]):