U e{j@s,ddlmZmZdgZGdddedZdS))ABCMetaabstractmethod NDDataBasec@seZdZdZeddZeeddZeeddZeedd Z eed d Z ed d Z eeddZ 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)NselfrrY/var/www/html/bwave/python/venv/lib/python3.8/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)z.World coordinate system (WCS) for the dataset.Nrrrrrwcs0szNDDataBase.wcscCsdS)z\Image representation of the PSF for the dataset. Should be `ndarray`-like. Nrrrrrpsf7szNDDataBase.psfcCsdS)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 uncertaintyHs zNDDataBase.uncertaintyN)__name__ __module__ __qualname____doc__rr propertyr r r r rrrrrrrr s.        ) metaclassN)abcrr__all__rrrrrs