@runtime_checkable
class 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."""
        ...