hLSSKJr SSKJr SSKJr SSKJr "SS\R5r "SS \ 5r "S S \ 5r "S S \ 5r "SS\ 5r "SS\ 5rg)) annotations)Sequence)Any)ImagecR\rSrSr%SrS\S'S SjrS SjrS SjrSr g ) TransformzIBase class for other transforms defined in :py:mod:`~PIL.ImageTransform`.zImage.TransformmethodcXlgNdata)selfrs D/var/www/html/env/lib/python3.13/site-packages/PIL/ImageTransform.py__init__Transform.__init__s c2URUR4$r )r r)rs rgetdataTransform.getdatas{{DII%%rc NUR5upEUR"XU40UD6$)z?Perform the transform. Called from :py:meth:`.Image.transform`.)r transform)rsizeimageoptionsr rs rrTransform.transform"s'||~ tT=W==rrN)rz Sequence[Any]returnNone)rz%tuple[Image.Transform, Sequence[int]])rztuple[int, int]r Image.Imagerrrr ) __name__ __module__ __qualname____firstlineno____doc____annotations__rrr__static_attributes__rrr r s@S & > > > >  >rr cD\rSrSrSr\R RrSr g)AffineTransform.a; Define an affine image transform. This function takes a 6-tuple (a, b, c, d, e, f) which contain the first two rows from the inverse of an affine transform matrix. For each pixel (x, y) in the output image, the new value is taken from a position (a x + b y + c, d x + e y + f) in the input image, rounded to nearest pixel. This function can be used to scale, translate, rotate, and shear the original image. See :py:meth:`.Image.transform` :param matrix: A 6-tuple (a, b, c, d, e, f) containing the first two rows from the inverse of an affine transform matrix. r(N) r!r"r#r$r%rr AFFINEr r'r(rrr*r*.s"__ # #Frr*cD\rSrSrSr\R RrSr g)PerspectiveTransformCa Define a perspective image transform. This function takes an 8-tuple (a, b, c, d, e, f, g, h). For each pixel (x, y) in the output image, the new value is taken from a position ((a x + b y + c) / (g x + h y + 1), (d x + e y + f) / (g x + h y + 1)) in the input image, rounded to nearest pixel. This function can be used to scale, translate, rotate, and shear the original image. See :py:meth:`.Image.transform` :param matrix: An 8-tuple (a, b, c, d, e, f, g, h). r(N) r!r"r#r$r%rr PERSPECTIVEr r'r(rrr.r.Cs __ ( (Frr.cD\rSrSrSr\R RrSr g)ExtentTransformWa Define a transform to extract a subregion from an image. Maps a rectangle (defined by two corners) from the image to a rectangle of the given size. The resulting image will contain data sampled from between the corners, such that (x0, y0) in the input image will end up at (0,0) in the output image, and (x1, y1) at size. This method can be used to crop, stretch, shrink, or mirror an arbitrary rectangle in the current image. It is slightly slower than crop, but about as fast as a corresponding resize operation. See :py:meth:`.Image.transform` :param bbox: A 4-tuple (x0, y0, x1, y1) which specifies two points in the input image's coordinate system. See :ref:`coordinate-system`. r(N) r!r"r#r$r%rr EXTENTr r'r(rrr2r2Ws$__ # #Frr2cD\rSrSrSr\R RrSr g) QuadTransformmaV Define a quad image transform. Maps a quadrilateral (a region defined by four corners) from the image to a rectangle of the given size. See :py:meth:`.Image.transform` :param xy: An 8-tuple (x0, y0, x1, y1, x2, y2, x3, y3) which contain the upper left, lower left, lower right, and upper right corner of the source quadrilateral. r(N) r!r"r#r$r%rr QUADr r'r(rrr6r6ms __ ! !Frr6cD\rSrSrSr\R RrSr g) MeshTransform~z Define a mesh image transform. A mesh transform consists of one or more individual quad transforms. See :py:meth:`.Image.transform` :param data: A list of (bbox, quad) tuples. r(N) r!r"r#r$r%rr MESHr r'r(rrr:r:~s__ ! !Frr:N) __future__rcollections.abcrtypingrrImageTransformHandlerr r*r.r2r6r:r(rrrBsa#$>++>.$i$*)9)($i$,"I"" "I "r