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Diffstat (limited to '.venv/lib/python3.12/site-packages/PIL/ImageMath.py')
| -rw-r--r-- | .venv/lib/python3.12/site-packages/PIL/ImageMath.py | 368 |
1 files changed, 368 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/PIL/ImageMath.py b/.venv/lib/python3.12/site-packages/PIL/ImageMath.py new file mode 100644 index 00000000..484797f9 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/PIL/ImageMath.py @@ -0,0 +1,368 @@ +# +# The Python Imaging Library +# $Id$ +# +# a simple math add-on for the Python Imaging Library +# +# History: +# 1999-02-15 fl Original PIL Plus release +# 2005-05-05 fl Simplified and cleaned up for PIL 1.1.6 +# 2005-09-12 fl Fixed int() and float() for Python 2.4.1 +# +# Copyright (c) 1999-2005 by Secret Labs AB +# Copyright (c) 2005 by Fredrik Lundh +# +# See the README file for information on usage and redistribution. +# +from __future__ import annotations + +import builtins +from types import CodeType +from typing import Any, Callable + +from . import Image, _imagingmath +from ._deprecate import deprecate + + +class _Operand: + """Wraps an image operand, providing standard operators""" + + def __init__(self, im: Image.Image): + self.im = im + + def __fixup(self, im1: _Operand | float) -> Image.Image: + # convert image to suitable mode + if isinstance(im1, _Operand): + # argument was an image. + if im1.im.mode in ("1", "L"): + return im1.im.convert("I") + elif im1.im.mode in ("I", "F"): + return im1.im + else: + msg = f"unsupported mode: {im1.im.mode}" + raise ValueError(msg) + else: + # argument was a constant + if isinstance(im1, (int, float)) and self.im.mode in ("1", "L", "I"): + return Image.new("I", self.im.size, im1) + else: + return Image.new("F", self.im.size, im1) + + def apply( + self, + op: str, + im1: _Operand | float, + im2: _Operand | float | None = None, + mode: str | None = None, + ) -> _Operand: + im_1 = self.__fixup(im1) + if im2 is None: + # unary operation + out = Image.new(mode or im_1.mode, im_1.size, None) + try: + op = getattr(_imagingmath, f"{op}_{im_1.mode}") + except AttributeError as e: + msg = f"bad operand type for '{op}'" + raise TypeError(msg) from e + _imagingmath.unop(op, out.getim(), im_1.getim()) + else: + # binary operation + im_2 = self.__fixup(im2) + if im_1.mode != im_2.mode: + # convert both arguments to floating point + if im_1.mode != "F": + im_1 = im_1.convert("F") + if im_2.mode != "F": + im_2 = im_2.convert("F") + if im_1.size != im_2.size: + # crop both arguments to a common size + size = ( + min(im_1.size[0], im_2.size[0]), + min(im_1.size[1], im_2.size[1]), + ) + if im_1.size != size: + im_1 = im_1.crop((0, 0) + size) + if im_2.size != size: + im_2 = im_2.crop((0, 0) + size) + out = Image.new(mode or im_1.mode, im_1.size, None) + try: + op = getattr(_imagingmath, f"{op}_{im_1.mode}") + except AttributeError as e: + msg = f"bad operand type for '{op}'" + raise TypeError(msg) from e + _imagingmath.binop(op, out.getim(), im_1.getim(), im_2.getim()) + return _Operand(out) + + # unary operators + def __bool__(self) -> bool: + # an image is "true" if it contains at least one non-zero pixel + return self.im.getbbox() is not None + + def __abs__(self) -> _Operand: + return self.apply("abs", self) + + def __pos__(self) -> _Operand: + return self + + def __neg__(self) -> _Operand: + return self.apply("neg", self) + + # binary operators + def __add__(self, other: _Operand | float) -> _Operand: + return self.apply("add", self, other) + + def __radd__(self, other: _Operand | float) -> _Operand: + return self.apply("add", other, self) + + def __sub__(self, other: _Operand | float) -> _Operand: + return self.apply("sub", self, other) + + def __rsub__(self, other: _Operand | float) -> _Operand: + return self.apply("sub", other, self) + + def __mul__(self, other: _Operand | float) -> _Operand: + return self.apply("mul", self, other) + + def __rmul__(self, other: _Operand | float) -> _Operand: + return self.apply("mul", other, self) + + def __truediv__(self, other: _Operand | float) -> _Operand: + return self.apply("div", self, other) + + def __rtruediv__(self, other: _Operand | float) -> _Operand: + return self.apply("div", other, self) + + def __mod__(self, other: _Operand | float) -> _Operand: + return self.apply("mod", self, other) + + def __rmod__(self, other: _Operand | float) -> _Operand: + return self.apply("mod", other, self) + + def __pow__(self, other: _Operand | float) -> _Operand: + return self.apply("pow", self, other) + + def __rpow__(self, other: _Operand | float) -> _Operand: + return self.apply("pow", other, self) + + # bitwise + def __invert__(self) -> _Operand: + return self.apply("invert", self) + + def __and__(self, other: _Operand | float) -> _Operand: + return self.apply("and", self, other) + + def __rand__(self, other: _Operand | float) -> _Operand: + return self.apply("and", other, self) + + def __or__(self, other: _Operand | float) -> _Operand: + return self.apply("or", self, other) + + def __ror__(self, other: _Operand | float) -> _Operand: + return self.apply("or", other, self) + + def __xor__(self, other: _Operand | float) -> _Operand: + return self.apply("xor", self, other) + + def __rxor__(self, other: _Operand | float) -> _Operand: + return self.apply("xor", other, self) + + def __lshift__(self, other: _Operand | float) -> _Operand: + return self.apply("lshift", self, other) + + def __rshift__(self, other: _Operand | float) -> _Operand: + return self.apply("rshift", self, other) + + # logical + def __eq__(self, other: _Operand | float) -> _Operand: # type: ignore[override] + return self.apply("eq", self, other) + + def __ne__(self, other: _Operand | float) -> _Operand: # type: ignore[override] + return self.apply("ne", self, other) + + def __lt__(self, other: _Operand | float) -> _Operand: + return self.apply("lt", self, other) + + def __le__(self, other: _Operand | float) -> _Operand: + return self.apply("le", self, other) + + def __gt__(self, other: _Operand | float) -> _Operand: + return self.apply("gt", self, other) + + def __ge__(self, other: _Operand | float) -> _Operand: + return self.apply("ge", self, other) + + +# conversions +def imagemath_int(self: _Operand) -> _Operand: + return _Operand(self.im.convert("I")) + + +def imagemath_float(self: _Operand) -> _Operand: + return _Operand(self.im.convert("F")) + + +# logical +def imagemath_equal(self: _Operand, other: _Operand | float | None) -> _Operand: + return self.apply("eq", self, other, mode="I") + + +def imagemath_notequal(self: _Operand, other: _Operand | float | None) -> _Operand: + return self.apply("ne", self, other, mode="I") + + +def imagemath_min(self: _Operand, other: _Operand | float | None) -> _Operand: + return self.apply("min", self, other) + + +def imagemath_max(self: _Operand, other: _Operand | float | None) -> _Operand: + return self.apply("max", self, other) + + +def imagemath_convert(self: _Operand, mode: str) -> _Operand: + return _Operand(self.im.convert(mode)) + + +ops = { + "int": imagemath_int, + "float": imagemath_float, + "equal": imagemath_equal, + "notequal": imagemath_notequal, + "min": imagemath_min, + "max": imagemath_max, + "convert": imagemath_convert, +} + + +def lambda_eval( + expression: Callable[[dict[str, Any]], Any], + options: dict[str, Any] = {}, + **kw: Any, +) -> Any: + """ + Returns the result of an image function. + + :py:mod:`~PIL.ImageMath` only supports single-layer images. To process multi-band + images, use the :py:meth:`~PIL.Image.Image.split` method or + :py:func:`~PIL.Image.merge` function. + + :param expression: A function that receives a dictionary. + :param options: Values to add to the function's dictionary. Deprecated. + You can instead use one or more keyword arguments. + :param **kw: Values to add to the function's dictionary. + :return: The expression result. This is usually an image object, but can + also be an integer, a floating point value, or a pixel tuple, + depending on the expression. + """ + + if options: + deprecate( + "ImageMath.lambda_eval options", + 12, + "ImageMath.lambda_eval keyword arguments", + ) + + args: dict[str, Any] = ops.copy() + args.update(options) + args.update(kw) + for k, v in args.items(): + if isinstance(v, Image.Image): + args[k] = _Operand(v) + + out = expression(args) + try: + return out.im + except AttributeError: + return out + + +def unsafe_eval( + expression: str, + options: dict[str, Any] = {}, + **kw: Any, +) -> Any: + """ + Evaluates an image expression. This uses Python's ``eval()`` function to process + the expression string, and carries the security risks of doing so. It is not + recommended to process expressions without considering this. + :py:meth:`~lambda_eval` is a more secure alternative. + + :py:mod:`~PIL.ImageMath` only supports single-layer images. To process multi-band + images, use the :py:meth:`~PIL.Image.Image.split` method or + :py:func:`~PIL.Image.merge` function. + + :param expression: A string containing a Python-style expression. + :param options: Values to add to the evaluation context. Deprecated. + You can instead use one or more keyword arguments. + :param **kw: Values to add to the evaluation context. + :return: The evaluated expression. This is usually an image object, but can + also be an integer, a floating point value, or a pixel tuple, + depending on the expression. + """ + + if options: + deprecate( + "ImageMath.unsafe_eval options", + 12, + "ImageMath.unsafe_eval keyword arguments", + ) + + # build execution namespace + args: dict[str, Any] = ops.copy() + for k in list(options.keys()) + list(kw.keys()): + if "__" in k or hasattr(builtins, k): + msg = f"'{k}' not allowed" + raise ValueError(msg) + + args.update(options) + args.update(kw) + for k, v in args.items(): + if isinstance(v, Image.Image): + args[k] = _Operand(v) + + compiled_code = compile(expression, "<string>", "eval") + + def scan(code: CodeType) -> None: + for const in code.co_consts: + if type(const) is type(compiled_code): + scan(const) + + for name in code.co_names: + if name not in args and name != "abs": + msg = f"'{name}' not allowed" + raise ValueError(msg) + + scan(compiled_code) + out = builtins.eval(expression, {"__builtins": {"abs": abs}}, args) + try: + return out.im + except AttributeError: + return out + + +def eval( + expression: str, + _dict: dict[str, Any] = {}, + **kw: Any, +) -> Any: + """ + Evaluates an image expression. + + Deprecated. Use lambda_eval() or unsafe_eval() instead. + + :param expression: A string containing a Python-style expression. + :param _dict: Values to add to the evaluation context. You + can either use a dictionary, or one or more keyword + arguments. + :return: The evaluated expression. This is usually an image object, but can + also be an integer, a floating point value, or a pixel tuple, + depending on the expression. + + .. deprecated:: 10.3.0 + """ + + deprecate( + "ImageMath.eval", + 12, + "ImageMath.lambda_eval or ImageMath.unsafe_eval", + ) + return unsafe_eval(expression, _dict, **kw) |