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- Metadata-Version: 1.0
- 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
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