Import matplotlib

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diff --git a/contrib/python/Pillow/py3/PIL/ImageTransform.py b/contrib/python/Pillow/py3/PIL/ImageTransform.py
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+#
+# The Python Imaging Library.
+# $Id$
+#
+# transform wrappers
+#
+# History:
+# 2002-04-08 fl   Created
+#
+# Copyright (c) 2002 by Secret Labs AB
+# Copyright (c) 2002 by Fredrik Lundh
+#
+# See the README file for information on usage and redistribution.
+#
+from __future__ import annotations
+
+from typing import Sequence
+
+from . import Image
+
+
+class Transform(Image.ImageTransformHandler):
+    method: Image.Transform
+
+    def __init__(self, data: Sequence[int]) -> None:
+        self.data = data
+
+    def getdata(self) -> tuple[int, Sequence[int]]:
+        return self.method, self.data
+
+    def transform(
+        self,
+        size: tuple[int, int],
+        image: Image.Image,
+        **options: dict[str, str | int | tuple[int, ...] | list[int]],
+    ) -> Image.Image:
+        # can be overridden
+        method, data = self.getdata()
+        return image.transform(size, method, data, **options)
+
+
+class AffineTransform(Transform):
+    """
+    Define an affine image transform.
+
+    This function takes a 6-tuple (a, b, c, d, e, f) which contain the first
+    two rows from 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:`~PIL.Image.Image.transform`
+
+    :param matrix: A 6-tuple (a, b, c, d, e, f) containing the first two rows
+        from an affine transform matrix.
+    """
+
+    method = Image.Transform.AFFINE
+
+
+class ExtentTransform(Transform):
+    """
+    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:`~PIL.Image.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`.
+    """
+
+    method = Image.Transform.EXTENT
+
+
+class QuadTransform(Transform):
+    """
+    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:`~PIL.Image.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.
+    """
+
+    method = Image.Transform.QUAD
+
+
+class MeshTransform(Transform):
+    """
+    Define a mesh image transform.  A mesh transform consists of one or more
+    individual quad transforms.
+
+    See :py:meth:`~PIL.Image.Image.transform`
+
+    :param data: A list of (bbox, quad) tuples.
+    """
+
+    method = Image.Transform.MESH