/usr/lib/python2.7/dist-packages/pytidylib-0.2.1.egg-info is in python-tidylib 0.2.1~dfsg-2ubuntu3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | Metadata-Version: 1.1
Name: pytidylib
Version: 0.2.1
Summary: Python wrapper for HTML Tidy (tidylib)
Home-page: http://countergram.com/open-source/pytidylib/
Author: Jason Stitt
Author-email: js@jasonstitt.com
License: UNKNOWN
Download-URL: http://cloud.github.com/downloads/countergram/pytidylib/pytidylib-0.2.1.tar.gz
Description: 0.2.0: Works on Windows! See documentation for available DLL download
locations. Documentation rewritten and expanded.
`PyTidyLib`_ is a Python package that wraps the `HTML Tidy`_ library. This
allows you, from Python code, to "fix" invalid (X)HTML markup. Some of the
library's many capabilities include:
* Clean up unclosed tags and unescaped characters such as ampersands
* Output HTML 4 or XHTML, strict or transitional, and add missing doctypes
* Convert named entities to numeric entities, which can then be used in XML
documents without an HTML doctype.
* Clean up HTML from programs such as Word (to an extent)
* Indent the output, including proper (i.e. no) indenting for ``pre`` elements,
which some (X)HTML indenting code overlooks.
Small example of use
====================
The following code cleans up an invalid HTML document and sets an option::
from tidylib import tidy_document
document, errors = tidy_document('''<p>fõo <img src="bar.jpg">''',
options={'numeric-entities':1})
print document
print errors
Docs
====
Documentation is shipped with the source distribution and is available at
the `PyTidyLib`_ web page.
.. _`HTML Tidy`: http://tidy.sourceforge.net/
.. _`PyTidyLib`: http://countergram.com/open-source/pytidylib/
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Natural Language :: English
Classifier: Topic :: Utilities
Classifier: Topic :: Text Processing :: Markup :: HTML
Classifier: Topic :: Text Processing :: Markup :: XML
|