24024
d4b28a731a
- 新增 SystemNotification 模型，实现系统通知的数据存储 - 管理后台新增通知相关接口，支持通知的增删改查 - 用户端新增接口，获取最新激活通知并支持标记已读 - 在前端首页添加全局通知弹窗，实现通知自动轮询及已读同步 - 生成历史记录中兼容支持图片缩略图及新旧图片格式 - 优化后台图片同步逻辑，新增缩略图生成与存储 - 支持上传参考图的拖拽、粘贴、多文件上传及排序功能 - 增加购买积分页面入口及菜单项，调整菜单结构 - 日志系统由 Redis 列表迁移为有序集合，保留 30 天日志 - 优化日志页面样式，提升可读性及滚动体验 - 调整部分模板布局为自定义滚动条容器，增强视觉一致性
137 lines
3.8 KiB
Python
137 lines
3.8 KiB
Python
#
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# The Python Imaging Library.
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# $Id$
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#
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# transform wrappers
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#
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# History:
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# 2002-04-08 fl Created
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#
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# Copyright (c) 2002 by Secret Labs AB
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# Copyright (c) 2002 by Fredrik Lundh
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#
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# See the README file for information on usage and redistribution.
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#
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from __future__ import annotations
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from collections.abc import Sequence
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from typing import Any
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from . import Image
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class Transform(Image.ImageTransformHandler):
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"""Base class for other transforms defined in :py:mod:`~PIL.ImageTransform`."""
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method: Image.Transform
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def __init__(self, data: Sequence[Any]) -> None:
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self.data = data
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def getdata(self) -> tuple[Image.Transform, Sequence[int]]:
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return self.method, self.data
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def transform(
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self,
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size: tuple[int, int],
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image: Image.Image,
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**options: Any,
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) -> Image.Image:
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"""Perform the transform. Called from :py:meth:`.Image.transform`."""
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# can be overridden
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method, data = self.getdata()
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return image.transform(size, method, data, **options)
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class AffineTransform(Transform):
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"""
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Define an affine image transform.
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This function takes a 6-tuple (a, b, c, d, e, f) which contain the first
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two rows from the inverse of an affine transform matrix. For each pixel
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(x, y) in the output image, the new value is taken from a position (a x +
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b y + c, d x + e y + f) in the input image, rounded to nearest pixel.
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This function can be used to scale, translate, rotate, and shear the
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original image.
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See :py:meth:`.Image.transform`
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:param matrix: A 6-tuple (a, b, c, d, e, f) containing the first two rows
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from the inverse of an affine transform matrix.
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"""
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method = Image.Transform.AFFINE
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class PerspectiveTransform(Transform):
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"""
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Define a perspective image transform.
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This function takes an 8-tuple (a, b, c, d, e, f, g, h). For each pixel
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(x, y) in the output image, the new value is taken from a position
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((a x + b y + c) / (g x + h y + 1), (d x + e y + f) / (g x + h y + 1)) in
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the input image, rounded to nearest pixel.
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This function can be used to scale, translate, rotate, and shear the
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original image.
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See :py:meth:`.Image.transform`
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:param matrix: An 8-tuple (a, b, c, d, e, f, g, h).
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"""
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method = Image.Transform.PERSPECTIVE
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class ExtentTransform(Transform):
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"""
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Define a transform to extract a subregion from an image.
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Maps a rectangle (defined by two corners) from the image to a rectangle of
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the given size. The resulting image will contain data sampled from between
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the corners, such that (x0, y0) in the input image will end up at (0,0) in
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the output image, and (x1, y1) at size.
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This method can be used to crop, stretch, shrink, or mirror an arbitrary
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rectangle in the current image. It is slightly slower than crop, but about
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as fast as a corresponding resize operation.
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See :py:meth:`.Image.transform`
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:param bbox: A 4-tuple (x0, y0, x1, y1) which specifies two points in the
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input image's coordinate system. See :ref:`coordinate-system`.
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"""
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method = Image.Transform.EXTENT
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class QuadTransform(Transform):
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"""
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Define a quad image transform.
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Maps a quadrilateral (a region defined by four corners) from the image to a
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rectangle of the given size.
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See :py:meth:`.Image.transform`
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:param xy: An 8-tuple (x0, y0, x1, y1, x2, y2, x3, y3) which contain the
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upper left, lower left, lower right, and upper right corner of the
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source quadrilateral.
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"""
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method = Image.Transform.QUAD
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class MeshTransform(Transform):
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"""
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Define a mesh image transform. A mesh transform consists of one or more
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individual quad transforms.
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See :py:meth:`.Image.transform`
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:param data: A list of (bbox, quad) tuples.
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"""
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method = Image.Transform.MESH
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