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https://github.com/python-pillow/Pillow.git
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a7e3b2e47b
There are two main issues fixed with this commit: * bytes vs. str: All file, image, and palette data are now handled as bytes. A new _binary module consolidates the hacks needed to do this across Python versions. tostring/fromstring methods have been renamed to tobytes/frombytes, but the Python 2.6/2.7 versions alias them to the old names for compatibility. Users should move to tobytes/frombytes. One other potentially-breaking change is that text data in image files (such as tags, comments) are now explicitly handled with a specific character encoding in mind. This works well with the Unicode str in Python 3, but may trip up old code expecting a straight byte-for-byte translation to a Python string. This also required a change to Gohlke's tags tests (in Tests/test_file_png.py) to expect Unicode strings from the code. * True div vs. floor div: Many division operations used the "/" operator to do floor division, which is now the "//" operator in Python 3. These were fixed. As of this commit, on the first pass, I have one failing test (improper handling of a slice object in a C module, test_imagepath.py) in Python 3, and three that that I haven't tried running yet (test_imagegl, test_imagegrab, and test_imageqt). I also haven't tested anything on Windows. All but the three skipped tests run flawlessly against Pythons 2.6 and 2.7.
71 lines
1.5 KiB
Python
71 lines
1.5 KiB
Python
#
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# The Python Imaging Library
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# $Id$
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#
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# HDF5 stub adapter
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#
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# Copyright (c) 2000-2003 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 . import Image, ImageFile
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_handler = None
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##
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# Install application-specific HDF5 image handler.
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#
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# @param handler Handler object.
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def register_handler(handler):
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global _handler
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_handler = handler
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# --------------------------------------------------------------------
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# Image adapter
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def _accept(prefix):
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return prefix[:8] == b"\x89HDF\r\n\x1a\n"
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class HDF5StubImageFile(ImageFile.StubImageFile):
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format = "HDF5"
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format_description = "HDF5"
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def _open(self):
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offset = self.fp.tell()
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if not _accept(self.fp.read(8)):
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raise SyntaxError("Not an HDF file")
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self.fp.seek(offset)
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# make something up
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self.mode = "F"
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self.size = 1, 1
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loader = self._load()
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if loader:
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loader.open(self)
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def _load(self):
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return _handler
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def _save(im, fp, filename):
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if _handler is None or not hasattr("_handler", "save"):
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raise IOError("HDF5 save handler not installed")
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_handler.save(im, fp, filename)
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# --------------------------------------------------------------------
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# Registry
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Image.register_open(HDF5StubImageFile.format, HDF5StubImageFile, _accept)
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Image.register_save(HDF5StubImageFile.format, _save)
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Image.register_extension(HDF5StubImageFile.format, ".h5")
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Image.register_extension(HDF5StubImageFile.format, ".hdf")
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