a ߙfb@s,ddlmZmZdgZGdddedZdS))ABCMetaabstractmethod NDDataBasec@s|eZdZdZeddZeeddZeeddZeedd Z eed d Z eed d Z eeddZ dS)rajBase metaclass that defines the interface for N-dimensional datasets with associated meta information used in ``astropy``. All properties and ``__init__`` have to be overridden in subclasses. See `NDData` for a subclass that defines this interface on `numpy.ndarray`-like ``data``. See also: https://docs.astropy.org/en/stable/nddata/ cCsdS)Nselfrr9lib/python3.9/site-packages/astropy/nddata/nddata_base.py__init__szNDDataBase.__init__cCsdS)zThe stored dataset. NrrrrrdataszNDDataBase.datacCsdS)zMask for the dataset. Masks should follow the ``numpy`` convention that **valid** data points are marked by ``False`` and **invalid** ones with ``True``. Nrrrrrmask"szNDDataBase.maskcCsdS)zUnit for the dataset. Nrrrrrunit,szNDDataBase.unitcCsdS)z7World coordinate system (WCS) for the dataset. Nrrrrrwcs3szNDDataBase.wcscCsdS)zWAdditional meta information about the dataset. Should be `dict`-like. Nrrrrrmeta:szNDDataBase.metacCsdS)zUncertainty in the dataset. Should have an attribute ``uncertainty_type`` that defines what kind of uncertainty is stored, such as ``"std"`` for standard deviation or ``"var"`` for variance. Nrrrrr uncertaintyCs zNDDataBase.uncertaintyN) __name__ __module__ __qualname____doc__rr propertyr r r r rrrrrrr s*       ) metaclassN)abcrr__all__rrrrrs