/~h'ddlmZddlmZddlmZmZmZmZGdde Z e jfdZ dZ Gd d e ZGd d e ZGd de Zy))Anchor)histogram_entropy)Image ImageChops ImageDraw ImageStatc(eZdZdZdZdZdZeeeefZy)SidetrblN)__name__ __module__ __qualname__TOPRIGHTBOTTOMLEFTALL_/var/www/peopleoo.sandbox-dev.co.uk/venv/lib/python3.12/site-packages/pilkit/processors/crop.pyr r s$ C E F D vt $Crr ctj|vr|dndtj|vr|dndtj|vr|dn|jdtj |vr|dn|jdf}|j |S)Nrr)r rrrsizercrop)imgbboxsidess r_cropr#sy99%Q188u$Q!::&QCHHQK;;%'QSXXa[  D 88D>rcptjd|jd}|jddz |jddz }}|dkDr0|dkDr+tj|}|j dd||gdt j|jdj|jS)N1rrrRGBA) rnewrrDraw rectangler Statconvert histogrammedian)r maskwhdraws rdetect_border_colorr2s 99S#((A &D 88A;?CHHQK!OqA1uQ~~d# 1a|Q' >>#++f-77= > E EErc8eZdZdZddej fdZdZy)TrimBorderColorz/Trims a color from the sides of an image. Ng333333?c.||_||_||_y)a :param color: The color to trim from the image, in a 4-tuple RGBA value, where each component is an integer between 0 and 255, inclusive. If no color is provided, the processor will attempt to detect the border color automatically. :param tolerance: A number between 0 and 1 where 0. Zero is the least tolerant and one is the most. :param sides: A list of sides that should be trimmed. Possible values are provided by the :class:`Side` enum class. N)colorr" tolerance)selfr6r7r"s r__init__zTrimBorderColor.__init__%s  "rcH|jd}|jxstt|}t j d|j |}tj||}|jdvrd|jcxkrdksntd|jztj|t|jdzjd}tj||}|j}|rt|||j }|S)Nr&)rrrrzN%s is an invalid tolerance. Acceptable values are between 0 and 1 (inclusive).)r+r6tupler2rr'rr differencer7 ValueErrorconstantintsubtractgetbboxr#r")r8r source border_colorbgdifftmpr!s rprocesszTrimBorderColor.process5sV$zzGU+>v+F%G YYvsxx 6$$VR0 >> '+!+ "<>Bnn"MNN%%dC0D,EFWV_ &&tS1D||~ T4::.C r)rrr__doc__r rr9rHrrrr4r4!s"S# rr4ceZdZdZddZdZy)Cropa Crops an image, cropping it to the specified width and height. You may optionally provide either an anchor or x and y coordinates. This processor functions exactly the same as ``ResizeCanvas`` except that it will never enlarge the image. NcJ||_||_||_||_||_y)N)widthheightanchorxy)r8rMrNrOrPrQs rr9z Crop.__init__Ts%   rcddlm}|j\}}t||jt||j }}||||j |j|jj|S)Nr) ResizeCanvas)rOrPrQ) resizerSrminrMrNrOrPrQrH)r8r rSoriginal_widthoriginal_height new_width new_heights rrHz Crop.process[se(*-((' #NDJJ ?OT[[1 Iz$++&&DFF$$+GCL 1r)NNNNN)rrrrIr9rHrrrrKrKKs1rrKc$eZdZdZddZdZdZy) SmartCropa Crop an image to the specified dimensions, whittling away the parts of the image with the least entropy. Based on smart crop implementation from easy-thumbnails: https://github.com/SmileyChris/easy-thumbnails/blob/master/easy_thumbnails/processors.py#L193 Nc ||_||_y)zr :param width: The target width, in pixels. :param height: The target height, in pixels. N)rMrN)r8rMrNs rr9zSmartCrop.__init__ps   rct|}t|}|r,t||z dz dkr||dzk\r||fS|dz}|||z fS||kDrd|fS|dfS)z Calculate the entropy of two slices (from the start and end of an axis), returning a tuple containing the amount that should be added to the start and removed from the end of the axis. rg{Gz?rr)rabs)r8 start_slice end_sliceslicer= start_entropy end_entropy half_slices rcompare_entropyzSmartCrop.compare_entropyysz*+6 ' 2 3}{:Q>?$FUQY&e|#!Juz11 1 ; &e8O!8Orc|j\}}t|t||jz }t|t||jz }dx}}||} }|rut|t |dzd} |j |d|| z|f} |j || z d||f} |j| | | |\} }|| z }||z}|| z |z }|ru|rut|t |dzd} |j d|||| zf} |j d| | z || f} |j| | | |\} }|| z }| |z} || z |z }|ru|||| f}|j |}|S)Nr )rr@rUrMrNmaxrre)r8r source_xsource_ydiff_xdiff_ylefttoprightbottomrastartendaddremoveboxs rrHzSmartCrop.processs XX(XHdjj 99:XHdkk ::;s (vFaK 45EHHdAte|X>?E((EEM1eX>?C..uc5&IKC CKD VOEc\F*FFaK 45EHHahe <=E((Av~x@AC..uc5&IKC 3JC f Fc\F*FS%(hhsm r)NN)rrrrIr9rerHrrrr[r[fs,rr[N)baserutilsrlibrrrr objectr rr#r2r4rKr[rrrr{sX$99%6% 88F'f'T1616DDr