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    "info": {
        "author": "John Cupitt",
        "author_email": "jcupitt@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Multimedia :: Graphics",
            "Topic :: Multimedia :: Graphics :: Graphics Conversion"
        ],
        "description": "README\n======\n\n.. image:: https://travis-ci.org/libvips/pyvips.svg?branch=master\n    :alt: Build Status\n    :target: https://travis-ci.org/libvips/pyvips\n\nPyPI package:\n\nhttps://pypi.python.org/pypi/pyvips\n\nThis module wraps the libvips image processing library. \n\nhttps://libvips.github.io/libvips/\n\nIf you have the development headers for libvips installed and have a working C\ncompiler, this module will use cffi API mode to try to build a libvips \nbinary extension for your Python. \n\nIf it is unable to build a binary extension, it will use cffi ABI mode\ninstead and only needs the libvips shared library. This takes longer to\nstart up and is typically ~20% slower in execution.  You can find out how\npyvips installed with ``pip show pyvips``.\n\nThis binding passes the vips test suite cleanly and with no leaks under\npython2.7 - python3.6, pypy and pypy3 on Windows, macOS and Linux. \n\nWe have formatted docs online here:\n\nhttps://libvips.github.io/pyvips/\n\nHow it works\n------------\n\nPrograms that use ``pyvips`` don't manipulate images directly, instead\nthey create pipelines of image processing operations building on a source\nimage. When the end of the pipe is connected to a destination, the whole\npipeline executes at once, streaming the image in parallel from source to\ndestination a section at a time.\n\nBecause ``pyvips`` is parallel, it's quick, and because it doesn't need to\nkeep entire images in memory, it's light.  For example, the libvips \nspeed and memory use benchmark: \n\nhttps://github.com/libvips/libvips/wiki/Speed-and-memory-use\n\nLoads a large tiff image, shrinks by 10%, sharpens, and saves again. On this\ntest ``pyvips`` is typically 3x faster than ImageMagick and needs 5x less\nmemory. \n\nThere's a handy chapter in the docs explaining how libvips opens files,\nwhich gives some more background.\n\nhttp://libvips.github.io/libvips/API/current/How-it-opens-files.md.html\n\nInstall libvips\n---------------\n\nYou need the libvips shared library on your library search path, version 8.2 or\nlater. On Linux and macOS, you can just install via your package manager; on \nWindows you can download a pre-compiled binary from the libvips website.\n\nhttps://libvips.github.io/libvips/install.html\n\nInstall pyvips\n--------------\n\nNext, install this package, perhaps::\n\n    $ pip install --user pyvips\n\nOn Windows, you'll need a 64-bit Python. The official one works well. Anaconda\nprobably won't work without some effort -- they have their own packaging\nsystem.\n\nExtra notes for Windows\n-----------------------\n\nOn Windows, you will need to add `vips-dev-x.y\\bin` to your `PATH` so\nthat pyvips can find all the DLLs it needs. You can either do this in the\n**Advanced System Settings** control panel, or you can just change\n`PATH` for your pyvips program.\n\nIf you set the PATH environment variable in the control panel, you can use\nthe `vips` command-line tools, which I find useful. However, this will add\na lot of extra DLLs to your search path and they might conflict with other\nprograms, so it's usually safer just to set `PATH` in your program.\n\nTo set `PATH` from within Python, you need something like this at the start of\nyour program::\n\n    import os\n    vipshome = 'c:\\\\vips-dev-8.7\\\\bin'\n    os.environ['PATH'] = vipshome + ';' + os.environ['PATH']\n\nNow when you import pyvips, it should be able to find the DLLs.\n\nTest your install\n-----------------\n\nTry this test program::\n\n    import logging; logging.basicConfig(level = logging.DEBUG)\n    import pyvips\n\nIf pyvips was able to build and use a binary module on your computer (API\nmode) you should see::\n\n    $ ./pyv.py \n    DEBUG:pyvips:Loaded binary module _libvips\n    DEBUG:pyvips:Inited libvips\n\nIf the build failed (fallback to ABI mode), or there was a header or version\nmismatch, you might see::\n\n    $ ./pyv.py \n    DEBUG:pyvips:Loaded binary module _libvips\n    DEBUG:pyvips:Binary module load failed: not all arguments converted during string formatting\n    DEBUG:pyvips:Falling back to ABI mode\n    DEBUG:pyvips:Loaded lib <cffi.api.FFILibrary_libvips.so.42 object at 0x7f29fa015190>\n    DEBUG:pyvips:Loaded lib <cffi.api.FFILibrary_libgobject-2.0.so.0 object at 0x7f29fa015110>\n    DEBUG:pyvips:Inited libvips\n\npyvips will work fine in this fallback mode, it's just a bit slower. \n\nIf API mode stops working, you can fix it by reinstalling pyvips. You should\nmake sure pip is not reusing a cached wheel, e.g. by using ``pip install\n--no-cache-dir pyvips``.\n\nExample\n-------\n\nThis sample program loads a JPG image, doubles the value of every green pixel,\nsharpens, and then writes the image back to the filesystem again::\n\n    import pyvips\n\n    image = pyvips.Image.new_from_file('some-image.jpg', access='sequential')\n    image *= [1, 2, 1]\n    mask = pyvips.Image.new_from_array([[-1, -1, -1],\n                                        [-1, 16, -1],\n                                        [-1, -1, -1]\n                                       ], scale=8)\n    image = image.conv(mask, precision='integer')\n    image.write_to_file('x.jpg')\n\nConverting old code\n-------------------\n\nTo convert old code, replace the lines::\n\n    import gi\n    gi.require_version('Vips', '8.0')\n    from gi.repository import Vips \n\nwith::\n\n    import pyvips\n    Vips = pyvips\n\nInstead of the ``pyvips = Vips``, you can of course also swap all ``Vips`` for\n``pyvips`` with eg.::\n\n    %s/Vips/pyvips/g\n\nBackground\n----------\n\nThe Python binding included in libvips works, but porting and installation\nare more difficult than they should be. \n\nThis new binding is:\n\n* compatible with the current Python binding (it runs the same test suite,\n  unmodified)\n\n* easier to install, since the stack is much smaller, and there are \n  no issues with the overrides directory\n\n* faster, since we implement Buffer and save some copies\n\n* faster, since it is \"thinner\". The ffi Ruby binding is about twice\n  as fast as the gobject-introspection one, when running the test suite\n\n* portable across CPython, PyPy and others\n\n* more simply portable to Windows \n\n* easy to package for pip\n\nNotes\n-----\n\nLocal user install::\n\n    $ pip install --user -e .\n    $ pip3 install --user -e .\n    $ pypy -m pip --user -e .\n\nRun all tests::\n\n    $ tox \n\nRun test suite::\n\n    $ tox test\n\nRun a specific test::\n\n    $ pytest tests/test_conversion.py\n\nStylecheck::\n\n    $ tox qa\n\nGenerate HTML docs in ``doc/build/html``::\n\n    $ cd doc; sphinx-build -bhtml . build/html\n\nRegenerate autodocs::\n\n    $ cd doc; \\\n      python -c \"import pyvips; pyvips.Operation.generate_sphinx_all()\" > x \n\nAnd copy-paste ``x`` into the obvious place in ``doc/vimage.rst``.\n\nUpdate version number::\n\n    $ vi pyvips/version.py\n    $ vi doc/conf.py\n\nUpdate pypi package::\n\n    $ python setup.py sdist\n    $ twine upload dist/*",
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