human
Complete the below
def _merge(module):

    ''''Helper to dispatch merge on both pandas and dask structures while
    respecting the return type of each.
    If dask structures are given, a dask structure is returned, if a pandas
    structure is given, a pandas structure is returned.
    Parameters
    module : module
    Either ``pandas`` or ``dask``.'
    '''

What is a the Python code you requested?
assistant
#Here is the Python code you requested.
    if (module is None):
        return
    @dispatch(Merge, VarArgs[(module.Series, base)])
    def compute_up(expr, args, **kwargs):
        "Optimized    handler    when    we    know    the    sequence    doesn't    contain    tabular\n                                elements.\n                                "
        fields = expr.fields
        return module.DataFrame(dict(zip(fields, args)), columns=fields)
    @dispatch(Merge, VarArgs[(module.Series, module.DataFrame, base)])
    def compute_up(expr, args, **kwargs):
        for arg in args:
            try:
                ix = arg.index
            except AttributeError:
                pass
            else:
                break
        return module.concat([(pd.Series(arg, index=ix, name=e._name) if isinstance(arg, base) else arg) for (e, arg) in zip(expr.args, args)], axis=1)