o vh'@sddlmZddlmZddlmZmZmZmZGddde Z e j fddZ d d Z Gd d d e ZGd dde ZGddde ZdS))Anchor)histogram_entropy)Image ImageChops ImageDraw ImageStatc@s(eZdZdZdZdZdZeeeefZdS)SidetrblN)__name__ __module__ __qualname__TOPRIGHTBOTTOMLEFTALLrrT/var/www/html/hyperkenya/venv/lib/python3.10/site-packages/pilkit/processors/crop.pyr s r cCsjtj|vr |dndtj|vr|dndtj|vr|dn|jdtj|vr*|dn|jdf}||S)Nrr)r rrrsizercrop)imgbboxsidesrrr_crops  rcCsttd|jd}|jdd|jdd}}|dkr.|dkr.t|}|dd||gdt|d |j S)N1rrrRGBA) rnewrrDraw rectanglerStatconvert histogrammedian)rmaskwhdrawrrrdetect_border_colors  r-c@s*eZdZdZddejfddZddZdS)TrimBorderColorz/Trims a color from the sides of an image. Ng333333?cCs||_||_||_dS)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)selfr/r0rrrr__init__%s  zTrimBorderColor.__init__cCs|d}|jp tt|}td|j|}t||}|j dvrHd|j kr,dks4nt d|j t |t |j dd}t ||}|}|rUt|||j}|S)Nr!)rrrrzN%s is an invalid tolerance. Acceptable values are between 0 and 1 (inclusive).)r&r/tupler-rr"rr differencer0 ValueErrorconstantintsubtractgetbboxrr)r1rsource border_colorbgdifftmprrrrprocess5s"    zTrimBorderColor.process)rrr__doc__r rr2r@rrrrr.!s r.c@s"eZdZdZdddZddZdS)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. NcCs"||_||_||_||_||_dS)N)widthheightanchorxy)r1rCrDrErFrGrrrr2Ts  z Crop.__init__cCsNddlm}|j\}}t||jt||j}}||||j|j|jd |S)Nr) ResizeCanvas)rErFrG) resizerHrminrCrDrErFrGr@)r1rrHoriginal_widthoriginal_height new_width new_heightrrrr@[s     z Crop.process)NNNNN)rrrrAr2r@rrrrrBKs  rBc@s*eZdZdZd ddZddZddZdS) 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 NcCs||_||_dS)zr :param width: The target width, in pixels. :param height: The target height, in pixels. N)rCrD)r1rCrDrrrr2ps zSmartCrop.__init__cCsht|}t|}|r(t||ddkr(||dkr||fS|d}|||fS||kr0d|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)r1 start_slice end_sliceslicer5 start_entropy end_entropy half_slicerrrcompare_entropyys  zSmartCrop.compare_entropycCsN|j\}}t|t||j}t|t||j}d}}||}} |r^t|t|dd} ||d|| |f} ||| d||f} || | | |\} }|| 7}||8}|| |}|s$|rt|t|dd} |d|||| f} |d| | || f} || | | |\} }|| 7}| |8} || |}|s`|||| f}||}|S)Nr )rr8rJrCrDmaxrrW)r1rsource_xsource_ydiff_xdiff_ylefttoprightbottomrSstartendaddremoveboxrrrr@s4      zSmartCrop.process)NN)rrrrAr2rWr@rrrrrOfs   rON)baserutilsrlibrrrrobjectr rrr-r.rBrOrrrrs   *