§ IR-e×ãó:—ddlmZmZdgZGd„de¬¦«ZdS)é)ÚABCMetaÚabstractmethodÚ NDDataBasecó"—eZdZdZed„¦«Zeed„¦«¦«Zeed„¦«¦«Zeed„¦«¦«Z eed„¦«¦«Z ed„¦«Z eed„¦«¦«Z eed „¦«¦«Z d S) 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/ có—dS)N©©Úselfs ú:lib/python3.11/site-packages/astropy/nddata/nddata_base.pyÚ__init__zNDDataBase.__init__s€à ˆócó—dS)zThe stored dataset.Nrr s r ÚdatazNDDataBase.datas €ð ˆr có—dS)z³Mask for the dataset. Masks should follow the ``numpy`` convention that **valid** data points are marked by ``False`` and **invalid** ones with ``True``. Nrr s r ÚmaskzNDDataBase.mask s €ðˆtr có—dS)zUnit for the dataset.Nrr s r ÚunitzNDDataBase.unit*ó €ðˆtr có—dS)z.World coordinate system (WCS) for the dataset.Nrr s r ÚwcszNDDataBase.wcs0rr có—dS)z\Image representation of the PSF for the dataset. Should be `ndarray`-like. Nrr s r ÚpsfzNDDataBase.psf7s €ð ˆtr có—dS)zWAdditional meta information about the dataset. Should be `dict`-like. Nrr s r ÚmetazNDDataBase.meta?s €ðˆtr có—dS)zàUncertainty 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. Nrr s r Ú uncertaintyzNDDataBase.uncertaintyHs €ðˆtr N)Ú__name__Ú __module__Ú __qualname__Ú__doc__rr Úpropertyrrrrrrrrr r rr s2€€€€€ð ð ðð ð ñ„^ð ðØð ð ñ„^ñ„Xð ðØððñ„^ñ„XððØððñ„^ñ„XððØððñ„^ñ„Xðð ððñ„XððØððñ„^ñ„XððØððñ„^ñ„Xðððr )Ú metaclassN)ÚabcrrÚ__all__rrr r úr%sjðð (Ð'Ð'Ð'Ð'Ð'Ð'Ð'à ˆ.€ðGðGðGðGðG˜7ðGñGôGðGðGðGr