62a897c50214e1fc06d5e9d8906a7e5552b764fa,core/eolearn/core/constants.py,FeatureType,contains_ndarrays,#FeatureType#,83

Before Change

    def contains_ndarrays(self):
        True if FeatureType stores a dictionary of numpy.ndarrays. False otherwise.
        return self in frozenset([FeatureType.DATA, FeatureType.MASK, FeatureType.SCALAR, FeatureType.LABEL,
                                  FeatureType.DATA_TIMELESS, FeatureType.MASK_TIMELESS, FeatureType.SCALAR_TIMELESS,
                                  FeatureType.LABEL_TIMELESS])

    def ndim(self):
        If given FeatureType stores a dictionary of numpy.ndarrays it returns dimensions of such arrays.
        if self.contains_ndarrays():

After Change

    def contains_ndarrays(self):
        True if FeatureType stores a dictionary of numpy.ndarrays. False otherwise.
        return self in FeatureTypeSet.RASTER_TYPES

    def ndim(self):
        If given FeatureType stores a dictionary of numpy.ndarrays it returns dimensions of such arrays.
        if self.is_raster():

Instances