def _get_norm_opts(self, obj):
        """
        Gets the normalization options for a LabelledData object by
        traversing the object for to find elements and their ids.
        The id is then used to select the appropriate OptionsTree,
        accumulating the normalization options into a dictionary.
        Returns a dictionary of normalization options for each
        element in the tree.
        """
        norm_opts = {}

        # Get all elements' type.group.label specs and ids
        type_val_fn = lambda x: (x.id, (type(x).__name__, util.group_sanitizer(x.group, escape=False),
                                        util.label_sanitizer(x.label, escape=False))) \
            if isinstance(x, Element) else None
        element_specs = {(idspec[0], idspec[1]) for idspec in obj.traverse(type_val_fn)
                         if idspec is not None}

        # Group elements specs by ID and override normalization
        # options sequentially
        key_fn = lambda x: -1 if x[0] is None else x[0]
        id_groups = groupby(sorted(element_specs, key=key_fn), key_fn)
        for gid, element_spec_group in id_groups:
            gid = None if gid == -1 else gid
            group_specs = [el for _, el in element_spec_group]

            backend = self.renderer.backend
            optstree = Store.custom_options(
                backend=backend).get(gid, Store.options(backend=backend))
            # Get the normalization options for the current id
            # and match against customizable elements
            for opts in optstree:
                path = tuple(opts.path.split('.')[1:])
                applies = any(path == spec[:i] for spec in group_specs
                              for i in range(1, 4))
                if applies and 'norm' in opts.groups:
                    nopts = opts['norm'].options
                    if nopts in 'axiswise' or 'framewise' in nopts:
                        norm_opts.update({path: (nopts.get('axiswise', False),
                                                 nopts.get('framewise', False))})
        element_specs = [spec for eid, spec in element_specs]
        norm_opts.update({spec: (False, False) for spec in element_specs
                          if not any(spec[:i] in norm_opts.keys() for i in range(1, 4))})
        return norm_opts
dataset/ETHPy150Open ioam/holoviews/holoviews/plotting/plot.py/DimensionedPlot._get_norm_opts/swapped operands of `in`