def from_codes_and_metadata(cls,
                                codes,
                                categories,
                                reverse_categories,
                                missing_value):
        """
        Rehydrate a LabelArray from the codes and metadata.

        Parameters
        ----------
        codes : np.ndarray[integral]
            The codes for the label array.
        categories : np.ndarray[object]
            The unique string categories.
        reverse_categories : dict[str, int]
            The mapping from category to its code-index.
        missing_value : any
            The value used to represent missing data.
        """
        ret = codes.view(type=cls, dtype=np.void)
        ret._categories = categories
        ret._reverse_categories = reverse_categories
        ret._missing_value = missing_value
        return ret
def from_codes_and_metadata ( cls , codes , categories , reverse_categories , missing_value ) : ret = codes . view ( type = cls , dtype = np . void ) ret . _categories = categories ret . _reverse_categories = reverse_categories ret . _missing_value = missing_value return ret
Rehydrate a LabelArray from the codes and metadata.

        Parameters
        ----------
        codes : np.ndarray[integral]
            The codes for the label array.
        categories : np.ndarray[object]
            The unique string categories.
        reverse_categories : dict[str, int]
            The mapping from category to its code-index.
        missing_value : any
            The value used to represent missing data.