307 lines
11 KiB
Plaintext
307 lines
11 KiB
Plaintext
Metadata-Version: 2.1
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Name: svglib
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Version: 1.5.1
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Summary: A pure-Python library for reading and converting SVG
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Home-page: https://github.com/deeplook/svglib
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Author: Dinu Gherman
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Author-email: gherman@darwin.in-berlin.de
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License: LGPL 3
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Keywords: SVG,PDF,reportlab,conversion,graphics
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Environment :: Console
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Classifier: Intended Audience :: End Users/Desktop
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
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Classifier: Operating System :: MacOS :: MacOS X
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX
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Classifier: Natural Language :: English
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Topic :: Documentation
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Classifier: Topic :: Utilities
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Classifier: Topic :: Printing
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Classifier: Topic :: Multimedia :: Graphics :: Graphics Conversion
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Classifier: Topic :: Text Processing :: Markup :: XML
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Requires-Python: >=3.7
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License-File: LICENSE.txt
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Requires-Dist: reportlab
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Requires-Dist: lxml
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Requires-Dist: tinycss2 >=0.6.0
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Requires-Dist: cssselect2 >=0.2.0
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.. -*- mode: rst -*-
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======
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Svglib
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======
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---------------------------------------------------------------------------
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A pure-Python library for reading and converting SVG
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---------------------------------------------------------------------------
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.. image:: https://github.com/deeplook/svglib/workflows/CI/badge.svg
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:target: https://github.com/deeplook/svglib/actions?query=workflow%3ACI
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.. image:: https://results.pre-commit.ci/badge/github/deeplook/svglib/master.svg
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:target: https://results.pre-commit.ci/latest/github/deeplook/svglib/master
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:alt: pre-commit.ci status
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.. image:: https://pyup.io/repos/github/deeplook/svglib/shield.svg
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:target: https://pyup.io/repos/github/deeplook/svglib/
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.. image:: https://img.shields.io/pypi/implementation/svglib.svg
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:target: https://pypi.org/project/svglib
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.. image:: https://img.shields.io/pypi/pyversions/svglib.svg
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:target: https://pypi.org/project/svglib
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.. image:: https://img.shields.io/pypi/dm/svglib.svg
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:target: https://pepy.tech/project/svglib
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.. image:: https://img.shields.io/pypi/v/svglib.svg
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:target: https://pypi.org/project/svglib
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.. image:: https://img.shields.io/conda/vn/conda-forge/svglib.svg
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:target: https://github.com/conda-forge/svglib-feedstock
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.. image:: https://img.shields.io/conda/dn/conda-forge/svglib.svg
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:target: https://github.com/conda-forge/svglib-feedstock
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.. image:: https://img.shields.io/conda/pn/conda-forge/svglib.svg
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:target: https://pypi.org/project/svglib
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.. image:: https://img.shields.io/pypi/l/svglib.svg
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:target: https://pypi.org/project/svglib
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.. image:: https://static.streamlit.io/badges/streamlit_badge_black_white.svg
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:target: https://share.streamlit.io/deeplook/streamlit-svglib/master/streamlit_app.py
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About
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-----
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``Svglib`` is a pure-Python library for reading SVG_ files and converting
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them (to a reasonable degree) to other formats using the ReportLab_ Open
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Source toolkit.
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Used as a package you can read existing SVG files and convert them into
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ReportLab ``Drawing`` objects that can be used in a variety of contexts,
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e.g. as ReportLab Platypus ``Flowable`` objects or in RML_.
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As a command-line tool it converts SVG files into PDF ones (but adding
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other output formats like bitmap or EPS is really easy and will be better
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supported, soon).
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Tests include a huge `W3C SVG test suite`_ plus ca. 200 `flags from
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Wikipedia`_ and some selected `symbols from Wikipedia`_ (with increasingly
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less pointing to missing features).
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Features
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--------
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- convert SVG_ files into ReportLab_ Graphics ``Drawing`` objects
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- handle plain or compressed SVG files (.svg and .svgz)
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- allow patterns for output files on command-line
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- install a Python package named ``svglib``
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- install a Python command-line script named ``svg2pdf``
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- provide a PyTest_ test suite with over 90% code coverage
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- test entire `W3C SVG test suite`_ after pulling from the internet
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- test all SVG `flags from Wikipedia`_ after pulling from the internet
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- test selected SVG `symbols from Wikipedia`_ after pulling from the net
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- support Python 3.7+ and PyPy3
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Known limitations
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-----------------
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- @import rules in stylesheets are ignored. CSS is supported, but the range
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of supported attributes is still limited
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- clipping is limited to single paths, no mask support
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- color gradients are not supported (limitation of reportlab)
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- SVG ``ForeignObject`` elements are not supported.
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Examples
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--------
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You can use ``svglib`` as a Python package e.g. like in the following
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interactive Python session:
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.. code:: python
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>>> from svglib.svglib import svg2rlg
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>>> from reportlab.graphics import renderPDF, renderPM
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>>>
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>>> drawing = svg2rlg("file.svg")
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>>> renderPDF.drawToFile(drawing, "file.pdf")
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>>> renderPM.drawToFile(drawing, "file.png", fmt="PNG")
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Note that the second parameter of ``drawToFile`` can be any
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`Python file object`_, like a ``BytesIO`` buffer if you don't want the result
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to be written on disk for example.
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In addition a script named ``svg2pdf`` can be used more easily from
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the system command-line. Here is the output from ``svg2pdf -h``::
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usage: svg2pdf [-h] [-v] [-o PATH_PAT] [PATH [PATH ...]]
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svg2pdf v. x.x.x
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A converter from SVG to PDF (via ReportLab Graphics)
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positional arguments:
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PATH Input SVG file path with extension .svg or .svgz.
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optional arguments:
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-h, --help show this help message and exit
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-v, --version Print version number and exit.
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-o PATH_PAT, --output PATH_PAT
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Set output path (incl. the placeholders: dirname,
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basename,base, ext, now) in both, %(name)s and {name}
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notations.
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examples:
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# convert path/file.svg to path/file.pdf
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svg2pdf path/file.svg
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# convert file1.svg to file1.pdf and file2.svgz to file2.pdf
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svg2pdf file1.svg file2.svgz
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# convert file.svg to out.pdf
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svg2pdf -o out.pdf file.svg
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# convert all SVG files in path/ to PDF files with names like:
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# path/file1.svg -> file1.pdf
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svg2pdf -o "%(base)s.pdf" path/file*.svg
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# like before but with timestamp in the PDF files:
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# path/file1.svg -> path/out-12-58-36-file1.pdf
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svg2pdf -o {{dirname}}/out-{{now.hour}}-{{now.minute}}-{{now.second}}-%(base)s.pdf path/file*.svg
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issues/pull requests:
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https://github.com/deeplook/svglib
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Copyleft by Dinu Gherman, 2008-2021 (LGPL 3):
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http://www.gnu.org/copyleft/gpl.html
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Dependencies
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------------
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``Svglib`` depends mainly on the ``reportlab`` package, which provides
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the abstractions for building complex ``Drawings`` which it can render
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into different fileformats, including PDF, EPS, SVG and various bitmaps
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ones. Other dependancies are ``lxml`` which is used in the context of SVG
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CSS stylesheets.
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Installation
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------------
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There are three ways to install ``svglib``.
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1. Using ``pip``
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++++++++++++++++
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With the ``pip`` command on your system and a working internet
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connection you can install the newest version of ``svglib`` with only
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one command in a terminal::
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$ pip install svglib
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You can also use ``pip`` to install the very latest version of the
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repository from GitHub, but then you won't be able to conveniently
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run the test suite::
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$ pip install git+https://github.com/deeplook/svglib
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2. Using ``conda``
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++++++++++++++++++
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If you use Anaconda_ or Miniconda_ you are surely using its respective package
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manager, Conda_, as well. In that case you should be able to install ``svglib``
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using these simple commands::
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$ conda config --add channels conda-forge
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$ conda install svglib
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``Svglib`` was kindly packaged for ``conda`` by nicoddemus_. See here more about
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`svglib with conda`_.
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3. Manual installation
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+++++++++++++++++++++++
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Alternatively, you can install a tarball like ``svglib-<version>.tar.gz``
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after downloading it from the `svglib page on PyPI`_ or the
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`svglib releases page on GitHub`_ and executing a sequence of commands
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like shown here::
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$ tar xfz svglib-<version>.tar.gz
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$ cd svglib-<version>
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$ python setup.py install
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This will install a Python package named ``svglib`` in the
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``site-packages`` subfolder of your Python installation and a script
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tool named ``svg2pdf`` in your ``bin`` directory, e.g. in
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``/usr/local/bin``.
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Testing
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-------
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The ``svglib`` tarball distribution contains a PyTest_ test suite
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in the ``tests`` directory. There, in ``tests/README.rst``, you can
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also read more about testing. You can run the testsuite e.g. like
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shown in the following lines on the command-line::
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$ tar xfz svglib-<version>.tar.gz
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$ cd svglib-<version>
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$ PYTHONPATH=. py.test
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======================== test session starts =========================
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platform darwin -- Python 3.7.3, pytest-5.0.1, py-1.8.0, pluggy-0.12.0
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rootdir: /Users/dinu/repos/github/deeplook/svglib, inifile:
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plugins: cov-2.4.0
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collected 36 items
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tests/test_basic.py ............................
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tests/test_samples.py .s.s.s.s
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=============== 32 passed, 4 skipped in 49.18 seconds ================
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Bug reports
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-----------
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Please report bugs on the `svglib issue tracker`_ on GitHub (pull
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requests are also appreciated)!
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If necessary, please include information about the operating system, as
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well as the versions of ``svglib``, ReportLab and Python being used!
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.. _SVG: http://www.w3.org/Graphics/SVG/
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.. _W3C SVG test suite:
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http://www.w3.org/Graphics/SVG/WG/wiki/Test_Suite_Overview
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.. _flags from Wikipedia:
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https://en.wikipedia.org/wiki/Gallery_of_sovereign_state_flags
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.. _symbols from Wikipedia:
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https://en.wikipedia.org/wiki/List_of_symbols
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.. _ReportLab: https://www.reportlab.com/opensource/
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.. _RML: https://www.reportlab.com/software/rml-reference/
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.. _svglib issue tracker: https://github.com/deeplook/svglib/issues
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.. _PyTest: http://pytest.org
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.. _svglib page on PyPI: https://pypi.org/project/svglib/
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.. _svglib releases page on GitHub: https://github.com/deeplook/svglib/releases
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.. _Python file object: https://docs.python.org/3/glossary.html#term-file-object
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.. _Anaconda: https://www.anaconda.com/download/
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.. _Miniconda: https://conda.io/miniconda.html
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.. _Conda: https://conda.io
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.. _svglib with conda: https://github.com/conda-forge/svglib-feedstock
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.. _nicoddemus: https://github.com/nicoddemus
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