Remove deps on pandas

<https://github.com/ydb-platform/ydb/pull/14418>

<https://github.com/ydb-platform/ydb/pull/14419>
\-- аналогичные правки в gh

Хочу залить в обход синка, чтобы посмотреть удалится ли pandas в нашей gh репе через piglet
commit_hash:abca127aa37d4dbb94b07e1e18cdb8eb5b711860

1 files changed, 0 insertions, 311 deletions

diff --git a/contrib/python/Pillow/py3/PIL/ImageChops.py b/contrib/python/Pillow/py3/PIL/ImageChops.py
deleted file mode 100644
index 29a5c995fd8..00000000000
--- a/contrib/python/Pillow/py3/PIL/ImageChops.py
+++ /dev/null
@@ -1,311 +0,0 @@
-#
-# The Python Imaging Library.
-# $Id$
-#
-# standard channel operations
-#
-# History:
-# 1996-03-24 fl   Created
-# 1996-08-13 fl   Added logical operations (for "1" images)
-# 2000-10-12 fl   Added offset method (from Image.py)
-#
-# Copyright (c) 1997-2000 by Secret Labs AB
-# Copyright (c) 1996-2000 by Fredrik Lundh
-#
-# See the README file for information on usage and redistribution.
-#
-
-from __future__ import annotations
-
-from . import Image
-
-
-def constant(image: Image.Image, value: int) -> Image.Image:
-    """Fill a channel with a given gray level.
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    return Image.new("L", image.size, value)
-
-
-def duplicate(image: Image.Image) -> Image.Image:
-    """Copy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    return image.copy()
-
-
-def invert(image: Image.Image) -> Image.Image:
-    """
-    Invert an image (channel). ::
-
-        out = MAX - image
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image.load()
-    return image._new(image.im.chop_invert())
-
-
-def lighter(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Compares the two images, pixel by pixel, and returns a new image containing
-    the lighter values. ::
-
-        out = max(image1, image2)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_lighter(image2.im))
-
-
-def darker(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Compares the two images, pixel by pixel, and returns a new image containing
-    the darker values. ::
-
-        out = min(image1, image2)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_darker(image2.im))
-
-
-def difference(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Returns the absolute value of the pixel-by-pixel difference between the two
-    images. ::
-
-        out = abs(image1 - image2)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_difference(image2.im))
-
-
-def multiply(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Superimposes two images on top of each other.
-
-    If you multiply an image with a solid black image, the result is black. If
-    you multiply with a solid white image, the image is unaffected. ::
-
-        out = image1 * image2 / MAX
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_multiply(image2.im))
-
-
-def screen(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Superimposes two inverted images on top of each other. ::
-
-        out = MAX - ((MAX - image1) * (MAX - image2) / MAX)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_screen(image2.im))
-
-
-def soft_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Superimposes two images on top of each other using the Soft Light algorithm
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_soft_light(image2.im))
-
-
-def hard_light(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Superimposes two images on top of each other using the Hard Light algorithm
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_hard_light(image2.im))
-
-
-def overlay(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """
-    Superimposes two images on top of each other using the Overlay algorithm
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_overlay(image2.im))
-
-
-def add(
-    image1: Image.Image, image2: Image.Image, scale: float = 1.0, offset: float = 0
-) -> Image.Image:
-    """
-    Adds two images, dividing the result by scale and adding the
-    offset. If omitted, scale defaults to 1.0, and offset to 0.0. ::
-
-        out = ((image1 + image2) / scale + offset)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_add(image2.im, scale, offset))
-
-
-def subtract(
-    image1: Image.Image, image2: Image.Image, scale: float = 1.0, offset: float = 0
-) -> Image.Image:
-    """
-    Subtracts two images, dividing the result by scale and adding the offset.
-    If omitted, scale defaults to 1.0, and offset to 0.0. ::
-
-        out = ((image1 - image2) / scale + offset)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_subtract(image2.im, scale, offset))
-
-
-def add_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """Add two images, without clipping the result. ::
-
-        out = ((image1 + image2) % MAX)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_add_modulo(image2.im))
-
-
-def subtract_modulo(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """Subtract two images, without clipping the result. ::
-
-        out = ((image1 - image2) % MAX)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_subtract_modulo(image2.im))
-
-
-def logical_and(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """Logical AND between two images.
-
-    Both of the images must have mode "1". If you would like to perform a
-    logical AND on an image with a mode other than "1", try
-    :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask
-    as the second image. ::
-
-        out = ((image1 and image2) % MAX)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_and(image2.im))
-
-
-def logical_or(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """Logical OR between two images.
-
-    Both of the images must have mode "1". ::
-
-        out = ((image1 or image2) % MAX)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_or(image2.im))
-
-
-def logical_xor(image1: Image.Image, image2: Image.Image) -> Image.Image:
-    """Logical XOR between two images.
-
-    Both of the images must have mode "1". ::
-
-        out = ((bool(image1) != bool(image2)) % MAX)
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    image1.load()
-    image2.load()
-    return image1._new(image1.im.chop_xor(image2.im))
-
-
-def blend(image1: Image.Image, image2: Image.Image, alpha: float) -> Image.Image:
-    """Blend images using constant transparency weight. Alias for
-    :py:func:`PIL.Image.blend`.
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    return Image.blend(image1, image2, alpha)
-
-
-def composite(
-    image1: Image.Image, image2: Image.Image, mask: Image.Image
-) -> Image.Image:
-    """Create composite using transparency mask. Alias for
-    :py:func:`PIL.Image.composite`.
-
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    return Image.composite(image1, image2, mask)
-
-
-def offset(image: Image.Image, xoffset: int, yoffset: int | None = None) -> Image.Image:
-    """Returns a copy of the image where data has been offset by the given
-    distances. Data wraps around the edges. If ``yoffset`` is omitted, it
-    is assumed to be equal to ``xoffset``.
-
-    :param image: Input image.
-    :param xoffset: The horizontal distance.
-    :param yoffset: The vertical distance.  If omitted, both
-        distances are set to the same value.
-    :rtype: :py:class:`~PIL.Image.Image`
-    """
-
-    if yoffset is None:
-        yoffset = xoffset
-    image.load()
-    return image._new(image.im.offset(xoffset, yoffset))