Metadata-Version: 1.0
Name: vobject
Version: 0.7.1
Summary: VObject: module for reading vCard and vCalendar files
Home-page: http://vobject.skyhouseconsulting.com
Author: Jeffrey Harris
Author-email: jeffrey@osafoundation.org
License: Apache
Description: Description
        -----------
        
        Parses iCalendar and vCard files into Python data structures, decoding the relevant encodings. Also serializes vobject data structures to iCalendar, vCard, or (expirementally) hCalendar unicode strings.
        
        Requirements
        ------------
        
        Requires python 2.4 or later, dateutil (http://labix.org/python-dateutil) 1.1 or later.
        
        Recent changes
        --------------
           - Added change_tz module and script for quickly changing event timezones for an
             ics file.  Requires PyICU.
           - Add support for BYMONTHDAY=-1 (days before the end of the month) when setting rrules
             from a dateutil rrule
           - Tolerate a Ruby iCalendar library escaping semi-colons in RRULEs
           - Make vobjects pickle-able
           - Add introspection help for IPython so tab completion works with
             vobject's custom __getattr__
           - Allow Outlook's technically illegal use of commas in TZIDs
           - Allow unicode names for TZIDs
           - Worked around Lotus Notes use of underscores in names by just silently replacing
             with dashes
           - When allowing quoted-printable data, honor CHARSET for each line, defaulting to 
             iso-8859-1
           - Simplified directory layout, unit tests are now available via setup.py test
        
        For older changes, see
           - http://vobject.skyhouseconsulting.com/history.html or 
           - http://websvn.osafoundation.org/listing.php?repname=vobject&path=/trunk/
        
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier:       Environment :: Console
Classifier:       License :: OSI Approved :: BSD License
Classifier:       Intended Audience :: Developers
Classifier:       Natural Language :: English
Classifier:       Programming Language :: Python
Classifier:       Operating System :: OS Independent
Classifier:       Topic :: Text Processing
