human
I wrote the below code

    if (maker is None):
        def maker(node, scalar_op):
            return OP(scalar_op)
    def local_fuse(node):
        '\n                                As    part    of    specialization,    we    fuse    two    consecutive    elemwise    Ops    of    the\n                                same    shape.\n\n                                For    mixed    dtype,    we    let    the    Composite    op    do    the    cast.    It    lets    the    C\n                                compiler    do    the    cast.\n                                The    number    of    dimensions    is    validated    at    call    time    by    theano    itself.\n\n                                '
        if (type(node.op) is not OP):
            return False
        if (len(node.outputs) > 1):
            return
        inputs = []
        s_inputs = []
        s_g = []
        max_nb_input = max_input_fct(node)
        new_nb_input = len(node.inputs)
        fused = False
        for i in node.inputs:
            do_fusion = False
            catch = False
            tmp_input = []
            tmp_scalar = []
            if (i.owner and isinstance(i.owner.op, OP) and (len(set([n for (n, idx) in i.clients])) == 1) and (i.owner.outputs[0].broadcastable == node.outputs[0].broadcastable)):
                do_fusion = True
                try:
                    tmp_s_input = []
                    for ii in i.owner.inputs:
                        if (ii in inputs):
                            tmp_s_input.append(s_inputs[inputs.index(ii)])
                        elif (ii in tmp_input):
                            tmp_s_input.append(tmp_scalar[tmp_input.index(ii)])
                        else:
                            tmp = scalar.get_scalar_type(ii.dtype).make_variable()
                            try:
                                tv = gof.op.get_test_value(ii)
                                if (tv.size > 0):
                                    tmp.tag.test_value = tv.flatten()[0]
                               ...

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

def local_elemwise_fusion_op(OP, max_input_fct=(lambda node: 32), maker=None):