<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def assert_unique_multiindex_level_names(variables):
 """Check for uniqueness of MultiIndex level names in all given variables. Not public API. Used for checking consistency of DataArray and Dataset objects. """

    level_names = defaultdict(list)
    all_level_names = set()
    for var_name, var in variables.items():
        if isinstance(var._data, PandasIndexAdapter):
            idx_level_names = var.to_index_variable().level_names
            if idx_level_names is not None:
                for n in idx_level_names:
                    level_names[n].append('%r (%s)' % (n, var_name))
            if idx_level_names:
                all_level_names.update(idx_level_names)

    for k, v in level_names.items():
        if k in variables:
            v.append('(%s)' % k)

    duplicate_names = [v for v in level_names.values() if len(v) > 1]
    if duplicate_names:
        conflict_str = '\n'.join([', '.join(v) for v in duplicate_names])
        raise ValueError('conflicting MultiIndex level name(s):\n%s'
                         % conflict_str)
    # Check confliction between level names and dimensions GH:2299
    for k, v in variables.items():
        for d in v.dims:
            if d in all_level_names:
                raise ValueError('conflicting level / dimension names. {} '
                                 'already exists as a level name.'.format(d))