Metadata-Version: 1.0
Name: bud.nospam
Version: 1.0.1
Summary: ROT 13 encrypt text to prevent spam
Home-page: UNKNOWN
Author: Kevin Teague
Author-email: kevin@bud.ca
License: BSD
Description: Overview
        ========
        
        This package provides a function for ROT 13 encoding text to make it
        email address displayed on the web harder to automatically harvest by
        spammers.
        
        Usage
        =====
        
        This package provides three simple functions::
        
        bud.nospam.rot_13_encrypt('some text')
        bud.nospam.js_obfuscated_text('someemail@example.com')
        bud.nospam.js_obfuscated_mailto('someemail@example.com','Some Name')
        
        Typically you will pass a string to the js_obfuscated_text() function,
        and insert the output into a web page. This function will ROT 13 encrypt
        the text, and embedd it with the necessary Javascript to decrypt the text.
        
        The js_obfuscated_mailto() is a convenience method for wrapping the
        text in an anchor tag with a mailto: attribute.
        
        Credit
        ======
        
        This package was inspired by the TextMate ROT13 function, see
        `the original TextMate blog post
        <http://blog.macromates.com/2006/obfuscating-email-addresses/>`_ for
        further discussion.
        
        Code
        ====
        
        The latest version is available in a `Mercurial repository
        <http://tripbagger.com/hg.repo/bud.nospam/>`_. Clone a copy with::
        
        hg clone http://tripbagger.com/hg.repo/bud.nospam/
        
        
        Changelog
        =========
        
        1.0.1 02-24-2009
        ----------------
        
        * Fix initial release, was missing HISTORY.txt.
        
        1.0 - 02-24-2009
        ----------------
        
        * Initial release
        
        
Keywords: web spam
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: HTML
