@runtime_checkableclass Norm(Protocol):    @property    def vmin(self):        """Lower limit of the input data interval; maps to 0."""        ...    @property    def vmax(self):        """Upper limit of the input data interval; maps to 1."""        ...    @property    def clip(self):        """        Determines the behavior for mapping values outside the range ``[vmin, vmax]``.        See the *clip* parameter in `.Normalize`.        """        ...    def _changed(self):        """        Call this whenever the norm is changed to notify all the        callback listeners to the 'changed' signal.        """        ...    def __call__(self, value, clip=None):        """        Normalize the data and return the normalized data.        Parameters        ----------        value            Data to normalize.        clip : bool, optional            See the description of the parameter *clip* in `.Normalize`.            If ``None``, defaults to ``self.clip`` (which defaults to            ``False``).        Notes        -----        If not already initialized, ``self.vmin`` and ``self.vmax`` are        initialized using ``self.autoscale_None(value)``.        """        ...    def inverse(self, value):        """        Maps the normalized value (i.e., index in the colormap) back to image        data value.        Parameters        ----------        value            Normalized value.        """        ...    def autoscale(self, A):        """Set *vmin*, *vmax* to min, max of *A*."""        ...    def autoscale_None(self, A):        """If *vmin* or *vmax* are not set, use the min/max of *A* to set them."""        ...    def scaled(self):        """Return whether *vmin* and *vmax* are both set."""        ...