human
I wrote the below code

    def conv_none(x):
        return x
    def conv_csr(ind, indptr, shp):
        def f(spdata):
            return CSR(spdata, ind, indptr, shp)
        return f
    def conv_csc(ind, indptr, shp):
        def f(spdata):
            return CSC(spdata, ind, indptr, shp)
        return f
    iconv = []
    dpt = []
    for p in pt:
        if _is_sparse(p):
            if structured:
                dpt.append(p.data)
            else:
                dpt.append(p.toarray())
            if (p.format == 'csr'):
                if structured:
                    iconv.append(conv_csr(p.indices[:p.size], p.indptr, p.shape))
                else:
                    iconv.append(csr_from_dense)
            elif (p.format == 'csc'):
                if structured:
                    iconv.append(conv_csc(p.indices[:p.size], p.indptr, p.shape))
                else:
                    iconv.append(csc_from_dense)
            else:
                raise NotImplementedError(('No    conv    for    %s' % (p.format,)))
        else:
            dpt.append(p)
            iconv.append(conv_none)
    output = op(*[as_sparse_or_tensor_variable(p) for p in pt])
    if isinstance(output, (list, tuple)):
        raise NotImplementedError("verify_grad    can't    deal    with    multiple    outputs")
    if _is_sparse_variable(output):
        oconv = DenseFromSparse(structured=structured)
    else:
        oconv = conv_none
    def conv_op(*inputs):
        ipt = [conv(i) for (i, conv) in zip(inputs, iconv)]
        out = op(*ipt)
        return oconv(out)
    return utt.verify_grad(conv_op, dpt, *args, **kwargs)

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

def verify_grad_sparse(op, pt, structured=False, *args, **kwargs):