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PIL /
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__pycache__
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BdfFontFile.py
2.75
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_binary.py
2
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BlpImagePlugin.py
14.23
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BmpImagePlugin.py
13.91
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BufrStubImagePlugin.py
1.48
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ContainerIO.py
2.82
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CurImagePlugin.py
1.64
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DcxImagePlugin.py
2.09
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DdsImagePlugin.py
7.8
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EpsImagePlugin.py
11.64
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ExifTags.py
9.22
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features.py
9.17
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FitsStubImagePlugin.py
2.5
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FliImagePlugin.py
4.16
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FontFile.py
2.7
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FpxImagePlugin.py
6.5
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FtexImagePlugin.py
3.23
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GbrImagePlugin.py
2.73
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GdImageFile.py
2.41
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GifImagePlugin.py
32.05
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GimpGradientFile.py
3.27
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GimpPaletteFile.py
1.24
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GribStubImagePlugin.py
1.48
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Hdf5StubImagePlugin.py
1.48
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IcnsImagePlugin.py
11.46
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IcoImagePlugin.py
10.57
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ImageChops.py
7.13
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ImageCms.py
36.22
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ImageColor.py
8.52
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ImageDraw2.py
4.9
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ImageDraw.py
33.9
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ImageEnhance.py
3.12
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ImageFile.py
20.58
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ImageFilter.py
15.75
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ImageFont.py
44.29
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ImageGrab.py
3.54
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ImageMath.py
7.44
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ImageMode.py
2.03
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ImageMorph.py
7.59
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ImageOps.py
19.82
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ImagePalette.py
7.66
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ImagePath.py
336
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Image.py
118.51
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ImageQt.py
6.54
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ImageSequence.py
1.81
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ImageShow.py
7.75
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ImageStat.py
3.81
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ImageTransform.py
2.78
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ImageWin.py
7.02
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_imagingcms.cpython-310-x86_64-linux-gnu.so
37.8
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_imaging.cpython-310-x86_64-linux-gnu.so
438.53
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_imagingft.cpython-310-x86_64-linux-gnu.so
41.46
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_imagingmath.cpython-310-x86_64-linux-gnu.so
18.43
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_imagingmorph.cpython-310-x86_64-linux-gnu.so
14.46
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ImImagePlugin.py
10.48
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ImtImagePlugin.py
2.15
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__init__.py
1.7
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IptcImagePlugin.py
5.58
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Jpeg2KImagePlugin.py
10.14
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JpegImagePlugin.py
27.79
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JpegPresets.py
12.06
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__main__.py
41
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McIdasImagePlugin.py
1.71
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MicImagePlugin.py
2.55
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MpegImagePlugin.py
1.76
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MpoImagePlugin.py
4.3
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MspImagePlugin.py
5.4
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PaletteFile.py
1.08
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PalmImagePlugin.py
8.89
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PcdImagePlugin.py
1.44
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PcfFontFile.py
6.2
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PcxImagePlugin.py
5.73
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PdfImagePlugin.py
7.16
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PdfParser.py
33.75
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PixarImagePlugin.py
1.59
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PngImagePlugin.py
43.11
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PpmImagePlugin.py
4.34
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PsdImagePlugin.py
7.88
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PSDraw.py
6.56
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PyAccess.py
9.38
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SgiImagePlugin.py
5.95
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SpiderImagePlugin.py
9.31
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SunImagePlugin.py
4.18
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TarIO.py
1.41
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TgaImagePlugin.py
6.32
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TiffImagePlugin.py
71.17
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TiffTags.py
14.93
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_tkinter_finder.py
525
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_util.py
359
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_version.py
50
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WalImageFile.py
5.42
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_webp.cpython-310-x86_64-linux-gnu.so
28.09
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WebPImagePlugin.py
10.58
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WmfImagePlugin.py
4.53
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XbmImagePlugin.py
2.37
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XpmImagePlugin.py
2.99
KB
-rw-r--r--
XVThumbImagePlugin.py
1.89
KB
-rw-r--r--
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Code Editor : ImageMath.py
# # 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. # import builtins from . import Image, _imagingmath VERBOSE = 0 def _isconstant(v): return isinstance(v, (int, float)) class _Operand: """Wraps an image operand, providing standard operators""" def __init__(self, im): self.im = im def __fixup(self, im1): # 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: raise ValueError(f"unsupported mode: {im1.im.mode}") else: # argument was a constant if _isconstant(im1) 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, im1, im2=None, mode=None): im1 = self.__fixup(im1) if im2 is None: # unary operation out = Image.new(mode or im1.mode, im1.size, None) im1.load() try: op = getattr(_imagingmath, op + "_" + im1.mode) except AttributeError as e: raise TypeError(f"bad operand type for '{op}'") from e _imagingmath.unop(op, out.im.id, im1.im.id) else: # binary operation im2 = self.__fixup(im2) if im1.mode != im2.mode: # convert both arguments to floating point if im1.mode != "F": im1 = im1.convert("F") if im2.mode != "F": im2 = im2.convert("F") if im1.mode != im2.mode: raise ValueError("mode mismatch") if im1.size != im2.size: # crop both arguments to a common size size = (min(im1.size[0], im2.size[0]), min(im1.size[1], im2.size[1])) if im1.size != size: im1 = im1.crop((0, 0) + size) if im2.size != size: im2 = im2.crop((0, 0) + size) out = Image.new(mode or im1.mode, size, None) else: out = Image.new(mode or im1.mode, im1.size, None) im1.load() im2.load() try: op = getattr(_imagingmath, op + "_" + im1.mode) except AttributeError as e: raise TypeError(f"bad operand type for '{op}'") from e _imagingmath.binop(op, out.im.id, im1.im.id, im2.im.id) return _Operand(out) # unary operators def __bool__(self): # an image is "true" if it contains at least one non-zero pixel return self.im.getbbox() is not None def __abs__(self): return self.apply("abs", self) def __pos__(self): return self def __neg__(self): return self.apply("neg", self) # binary operators def __add__(self, other): return self.apply("add", self, other) def __radd__(self, other): return self.apply("add", other, self) def __sub__(self, other): return self.apply("sub", self, other) def __rsub__(self, other): return self.apply("sub", other, self) def __mul__(self, other): return self.apply("mul", self, other) def __rmul__(self, other): return self.apply("mul", other, self) def __truediv__(self, other): return self.apply("div", self, other) def __rtruediv__(self, other): return self.apply("div", other, self) def __mod__(self, other): return self.apply("mod", self, other) def __rmod__(self, other): return self.apply("mod", other, self) def __pow__(self, other): return self.apply("pow", self, other) def __rpow__(self, other): return self.apply("pow", other, self) # bitwise def __invert__(self): return self.apply("invert", self) def __and__(self, other): return self.apply("and", self, other) def __rand__(self, other): return self.apply("and", other, self) def __or__(self, other): return self.apply("or", self, other) def __ror__(self, other): return self.apply("or", other, self) def __xor__(self, other): return self.apply("xor", self, other) def __rxor__(self, other): return self.apply("xor", other, self) def __lshift__(self, other): return self.apply("lshift", self, other) def __rshift__(self, other): return self.apply("rshift", self, other) # logical def __eq__(self, other): return self.apply("eq", self, other) def __ne__(self, other): return self.apply("ne", self, other) def __lt__(self, other): return self.apply("lt", self, other) def __le__(self, other): return self.apply("le", self, other) def __gt__(self, other): return self.apply("gt", self, other) def __ge__(self, other): return self.apply("ge", self, other) # conversions def imagemath_int(self): return _Operand(self.im.convert("I")) def imagemath_float(self): return _Operand(self.im.convert("F")) # logical def imagemath_equal(self, other): return self.apply("eq", self, other, mode="I") def imagemath_notequal(self, other): return self.apply("ne", self, other, mode="I") def imagemath_min(self, other): return self.apply("min", self, other) def imagemath_max(self, other): return self.apply("max", self, other) def imagemath_convert(self, mode): return _Operand(self.im.convert(mode)) ops = {} for k, v in list(globals().items()): if k[:10] == "imagemath_": ops[k[10:]] = v def eval(expression, _dict={}, **kw): """ Evaluates an image expression. :param expression: A string containing a Python-style expression. :param options: 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. """ # build execution namespace args = ops.copy() for k in list(_dict.keys()) + list(kw.keys()): if "__" in k or hasattr(builtins, k): msg = f"'{k}' not allowed" raise ValueError(msg) args.update(_dict) args.update(kw) for k, v in list(args.items()): if hasattr(v, "im"): args[k] = _Operand(v) compiled_code = compile(expression, "<string>", "eval") def scan(code): for const in code.co_consts: if type(const) == type(compiled_code): scan(const) for name in code.co_names: if name not in args and name != "abs": raise ValueError(f"'{name}' not allowed") scan(compiled_code) out = builtins.eval(expression, {"__builtins": {"abs": abs}}, args) try: return out.im except AttributeError: return out
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