EiwHSSKJr SSKrSSKJr SSKJr "SS5r\rg)) annotationsN)cached_property)Imagec\rSrSrSSSjjr\SSj5r\SSj5r\SSj5r\SSj5r \SSj5r \SS j5r \SS j5r \SS j5r \SS j5rS rg)StatNc [U[R5(aURU5UlO)[U[5(aXlO Sn[ U5e[ [ [UR5S-55Ulg)a Calculate statistics for the given image. If a mask is included, only the regions covered by that mask are included in the statistics. You can also pass in a previously calculated histogram. :param image: A PIL image, or a precalculated histogram. .. note:: For a PIL image, calculations rely on the :py:meth:`~PIL.Image.Image.histogram` method. The pixel counts are grouped into 256 bins, even if the image has more than 8 bits per channel. So ``I`` and ``F`` mode images have a maximum ``mean``, ``median`` and ``rms`` of 255, and cannot have an ``extrema`` maximum of more than 255. :param mask: An optional mask. z$first argument must be image or listN) isinstancer histogramhlist TypeErrorrangelenbands)self image_or_listmaskmsgs J/home/mande/repo/quber/.venv/lib/python3.13/site-packages/PIL/ImageStat.py__init__ Stat.__init__ sf* mU[[ 1 1",,T2DF  t , ,"F8CC. %DFF s 234 cSSjn[S[UR5S5Vs/sHo!"URUS5PM sn$s snf)a% Min/max values for each band in the image. .. note:: This relies on the :py:meth:`~PIL.Image.Image.histogram` method, and simply returns the low and high bins used. This is correct for images with 8 bits per channel, but fails for other modes such as ``I`` or ``F``. Instead, use :py:meth:`~PIL.Image.Image.getextrema` to return per-band extrema for the image. This is more correct and efficient because, for non-8-bit modes, the histogram method uses :py:meth:`~PIL.Image.Image.getextrema` to determine the bins used. cSup[S5HnX(dMUn O [SSS5HnX(dMUn X4$ X4$)N)rr r)r)r res_minres_maxis rminmaxStat.extrema..minmaxMs_% G3Z<<G 3B'<<G# # (# #rrr N)r list[int]returnztuple[int, int])rrr)rr#r"s rextrema Stat.extrema>sC $-2!S[#,FG,Fqtvvabz",FGGGsA c [S[UR5S5Vs/sHn[URXS-5PM sn$s snf)z2Total number of pixels for each band in the image.rr )rrrsumrr"s rcount Stat.count[sA383tvv;2LM2LQDFF13w'(2LMMMs$A c/n[S[UR5S5H>nSn[S5HnX4URX$--- nM URU5 M@ U$)z-Sum of all pixels for each band in the image.rr )rrrappend)rvr" layer_sumjs rr*Stat.sum`sa q#dff+s+AI3Z..  HHY  , rc /n[S[UR5S5HJnSn[S5H%nX4S-[URX$-5-- nM' UR U5 ML U$)z5Squared sum of all pixels for each band in the image.rr r/)rrrfloatr0)rr1r"sum2r3s rr8 Stat.sum2lsi q#dff+s+AD3ZAtvvae}!555 HHTN , rcURVs/sH7oRU(aURUURU- OSPM9 sn$s snf)zAAverage (arithmetic mean) pixel level for each band in the image.r)rr,r*r+s rmean Stat.meanxsDNRZZXZzz!} djjm+!CZXXXs>Ac/nURHYnSnURUS-nUS-n[S5HnX0RXV--nX4:dM O UR W5 M[ U$)z.Median pixel level for each band in the image.rr6r )rr,rrr0)rr1r"shalfbr3s rmedian Stat.median}ss AA::a=A%DCA3Zqu %8  HHQKrcURVs/sHLnURU(a3[R"URUURU- 5OSPMN sn$s snf)z2RMS (root-mean-square) for each band in the image.r)rr,mathsqrtr8r+s rrmsStat.rmssZ ZZ 8rYs'.# %E<E