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        "author": "Dinu Gherman",
        "author_email": "gherman@darwin.in-berlin.de",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Documentation",
            "Topic :: Multimedia :: Graphics :: Graphics Conversion",
            "Topic :: Printing",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Text Processing :: Markup :: XML",
            "Topic :: Utilities"
        ],
        "description": ".. -*- mode: rst -*-\n\n======\nSvglib\n======\n\n---------------------------------------------------------------------------\nA pure-Python library for reading and converting SVG\n---------------------------------------------------------------------------\n\n.. image:: http://img.shields.io/travis/deeplook/svglib.svg\n  :target: https://travis-ci.org/deeplook/svglib\n\n.. image:: https://ci.appveyor.com/api/projects/status/4guofbxkwgsu8537/branch/master?svg=true\n  :target: https://ci.appveyor.com/project/deeplook/svglib\n\n.. image:: https://pyup.io/repos/github/deeplook/svglib/shield.svg\n  :target: https://pyup.io/repos/github/deeplook/svglib/\n\n.. image:: https://img.shields.io/pypi/implementation/svglib.svg\n  :target: https://pypi.org/project/svglib\n\n.. image:: https://img.shields.io/pypi/pyversions/svglib.svg\n  :target: https://pypi.org/project/svglib\n\n.. image:: https://img.shields.io/pypi/dm/svglib.svg\n  :target: https://pypi.org/project/svglib\n\n.. image:: https://img.shields.io/pypi/v/svglib.svg\n  :target: https://pypi.org/project/svglib\n\n.. image:: https://img.shields.io/conda/vn/conda-forge/svglib.svg\n  :target: https://github.com/conda-forge/svglib-feedstock\n\n.. image:: https://img.shields.io/conda/dn/conda-forge/svglib.svg\n  :target: https://github.com/conda-forge/svglib-feedstock\n\n.. image:: https://img.shields.io/conda/pn/conda-forge/svglib.svg\n  :target: https://pypi.org/project/svglib\n\n.. image:: https://img.shields.io/pypi/l/svglib.svg\n  :target: https://pypi.org/project/svglib\n\n\nAbout\n-----\n\n``Svglib`` is a pure-Python library for reading SVG_ files and converting\nthem (to a reasonable degree) to other formats using the ReportLab_ Open\nSource toolkit.\n\nUsed as a package you can read existing SVG files and convert them into\nReportLab ``Drawing`` objects that can be used in a variety of contexts,\ne.g. as ReportLab Platypus ``Flowable`` objects or in RML_.\nAs a command-line tool it converts SVG files into PDF ones (but adding\nother output formats like bitmap or EPS is really easy and will be better\nsupported, soon).\n\nTests include a huge `W3C SVG test suite`_ plus ca. 200 `flags from\nWikipedia`_ and some selected `symbols from Wikipedia`_ (with increasingly\nless pointing to missing features).\n\nPrevious versions were hosted at https://bitbucket.org/deeplook/svglib.\n\n\nFeatures\n--------\n\n- convert SVG_ files into ReportLab_ Graphics ``Drawing`` objects\n- handle plain or compressed SVG files (.svg and .svgz)\n- allow patterns for output files on command-line\n- install a Python package named ``svglib``\n- install a Python command-line script named ``svg2pdf``\n- provide a PyTest_ test suite with over 90% code coverage\n- test entire `W3C SVG test suite`_ after pulling from the internet\n- test all SVG `flags from Wikipedia`_ after pulling from the internet\n- test selected SVG `symbols from Wikipedia`_ after pulling from the net\n- run on Python 2.7 and Python 3.5, 3.6 and 3.7\n\n\nKnown limitations\n-----------------\n\n- support for stylesheets is still experimental. Please report any\n  bug or shortcoming on the `svglib issue tracker`_.\n- clipping is limited to single paths, no mask support\n- color gradients are not supported\n\n\nExamples\n--------\n\nYou can use ``svglib`` as a Python package e.g. like in the following\ninteractive Python session::\n\n    >>> from svglib.svglib import svg2rlg\n    >>> from reportlab.graphics import renderPDF, renderPM\n    >>>\n    >>> drawing = svg2rlg(\"file.svg\")\n    >>> renderPDF.drawToFile(drawing, \"file.pdf\")\n    >>> renderPM.drawToFile(drawing, \"file.png\", fmt=\"PNG\")\n\nNote that the second parameter of ``drawToFile`` can be any\n`Python file object`_, like a ``BytesIO`` buffer if you don't want the result\nto be written on disk for example.\n\nIn addition a script named ``svg2pdf`` can be used more easily from\nthe system command-line. Here is the output from ``svg2pdf -h``::\n\n    usage: svg2pdf [-h] [-v] [-o PATH_PAT] [PATH [PATH ...]]\n\n    svg2pdf v. 0.9.2\n    A converter from SVG to PDF (via ReportLab Graphics)\n\n    positional arguments:\n      PATH                  Input SVG file path with extension .svg or .svgz.\n\n    optional arguments:\n      -h, --help            show this help message and exit\n      -v, --version         Print version number and exit.\n      -o PATH_PAT, --output PATH_PAT\n                            Set output path (incl. the placeholders: dirname,\n                            basename,base, ext, now) in both, %(name)s and {name}\n                            notations.\n\n    examples:\n      # convert path/file.svg to path/file.pdf\n      svg2pdf path/file.svg\n\n      # convert file1.svg to file1.pdf and file2.svgz to file2.pdf\n      svg2pdf file1.svg file2.svgz\n\n      # convert file.svg to out.pdf\n      svg2pdf -o out.pdf file.svg\n\n      # convert all SVG files in path/ to PDF files with names like:\n      # path/file1.svg -> file1.pdf\n      svg2pdf -o \"%(base)s.pdf\" path/file*.svg\n\n      # like before but with timestamp in the PDF files:\n      # path/file1.svg -> path/out-12-58-36-file1.pdf\n      svg2pdf -o {{dirname}}/out-{{now.hour}}-{{now.minute}}-{{now.second}}-%(base)s.pdf path/file*.svg\n\n    issues/pull requests:\n        https://github.com/deeplook/svglib\n\n    Copyleft by Dinu Gherman, 2008-2018 (LGPL 3):\n        http://www.gnu.org/copyleft/gpl.html\n\n\nDependencies\n------------\n\n``Svglib`` depends mainly on the ``reportlab`` package, which provides\nthe abstractions for building complex ``Drawings`` which it can render\ninto different fileformats, including PDF, EPS, SVG and various bitmaps\nones. Other dependancies are ``lxml`` which is used in the context of SVG\nCSS stylesheets.\n\n\nInstallation\n------------\n\nThere are three ways to install ``svglib``.\n\n1. Using ``pip``\n++++++++++++++++\n\nWith the ``pip`` command on your system and a working internet\nconnection you can install the newest version of ``svglib`` with only\none command in a terminal::\n\n    $ pip install svglib\n\nYou can also use ``pip`` to install the very latest version of the\nrepository from GitHub, but then you won't be able to conveniently\nrun the test suite::\n\n    $ pip install git+https://github.com/deeplook/svglib\n\n\n2. Using ``conda``\n++++++++++++++++++\n\nIf you use Anaconda_ or Miniconda_ you are surely using its respective package\nmanager, Conda_, as well. In that case you should be able to install ``svglib``\nusing these simple commands::\n\n    $ conda config --add channels conda-forge\n    $ conda install svglib\n\n``Svglib`` was kindly packaged for ``conda`` by nicoddemus_. See here more about\n`svglib with conda`_.\n\n\n3. Manual installation\n+++++++++++++++++++++++\n\nAlternatively, you can install a tarball like ``svglib-<version>.tar.gz``\nafter downloading it from the `svglib page on PyPI`_ or the\n`svglib releases page on GitHub`_ and executing a sequence of commands\nlike shown here::\n\n    $ tar xfz svglib-<version>.tar.gz\n    $ cd svglib-<version>\n    $ python setup.py install\n\nThis will install a Python package named ``svglib`` in the\n``site-packages`` subfolder of your Python installation and a script\ntool named ``svg2pdf`` in your ``bin`` directory, e.g. in\n``/usr/local/bin``.\n\n\nTesting\n-------\n\nThe ``svglib`` tarball distribution contains a PyTest_ test suite\nin the ``tests`` directory. There, in ``tests/README.rst``, you can\nalso read more about testing. You can run the testsuite e.g. like\nshown in the following lines on the command-line::\n\n    $ tar xfz svglib-<version>.tar.gz\n    $ cd svglib-<version>\n    $ PYTHONPATH=. py.test\n    ======================== test session starts =========================\n    platform darwin -- Python 3.5.2, pytest-3.0.5, py-1.4.32, pluggy-0.4.0\n    rootdir: /Users/dinu/repos/github/deeplook/svglib, inifile:\n    plugins: cov-2.4.0\n    collected 36 items\n\n    tests/test_basic.py ............................\n    tests/test_samples.py .s.s.s.s\n\n    =============== 32 passed, 4 skipped in 49.18 seconds ================\n\n\nBug reports\n-----------\n\nPlease report bugs on the `svglib issue tracker`_ on GitHub (pull\nrequests are also appreciated)!\nIf necessary, please include information about the operating system, as\nwell as the versions of ``svglib``, ReportLab and Python being used!\n\n\n.. _SVG: http://www.w3.org/Graphics/SVG/\n.. _W3C SVG test suite:\n      http://www.w3.org/Graphics/SVG/WG/wiki/Test_Suite_Overview\n.. _flags from Wikipedia:\n      https://en.wikipedia.org/wiki/Gallery_of_sovereign_state_flags\n.. _symbols from Wikipedia:\n      http://en.wikipedia.org/wiki/List_of_symbols\n.. _ReportLab: http://www.reportlab.org\n.. _RML: http://www.reportlab.com/software/rml-reference/\n.. _svglib issue tracker: https://github.com/deeplook/svglib/issues\n.. _PyTest: http://pytest.org\n.. _svglib page on PyPI: https://pypi.org/project/svglib/\n.. _svglib releases page on GitHub: https://github.com/deeplook/svglib/releases\n.. _Python file object: https://docs.python.org/3/glossary.html#term-file-object\n.. _Anaconda: https://www.anaconda.com/download/\n.. _Miniconda: https://conda.io/miniconda.html\n.. _Conda: https://conda.io\n.. _svglib with conda: https://github.com/conda-forge/svglib-feedstock\n.. _nicoddemus: https://github.com/nicoddemus",
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