update setup and docs: treebeard supports python 2.4+ and django 1.2+

CHANGES

@@ -9,7 +9,7 @@ Release 1.6X (XXX XX, 2012)
   Applied Science (http://www.orcasinc.com/), developed by Aureal
   (http://aureal.pe/) and inspired by FeinCMS
   (http://www.feinheit.ch/media/labs/feincms/admin.html). Thanks ORCAS!
-* Updated docs: the library supports python 2.5+
+* Updated docs: the library supports python 2.4+ and Django 1.2+
 * Small optimization to ns_tree.is_root (thanks jaap3)
 * Moved treebeard.tests to it's own directory (instead of tests.py)
 * Added the runtests.py test runner

README

@@ -3,7 +3,7 @@ django-treebeard
 ================
 
 django-treebeard is a library that implements efficient tree implementations
-for the Django Web Framework 1.0+, written by Gustavo Picón and licensed under
+for the Django Web Framework 1.2+, written by Gustavo Picón and licensed under
 the Apache License 2.0.
 
 django-treebeard is:

docs/index.rst

@@ -3,7 +3,7 @@ django-treebeard
 
 `django-treebeard <https://tabo.pe/projects/django-treebeard/>`_
 is a library that implements efficient tree implementations for the
-`Django Web Framework 1.0+ <http://www.djangoproject.com/>`_, written by
+`Django Web Framework 1.2+ <http://www.djangoproject.com/>`_, written by
 `Gustavo Picón <https://tabo.pe>`_ and licensed under the Apache License 2.0.
 
 ``django-treebeard`` is:

docs/intro.rst

@@ -8,8 +8,8 @@ Everything you need to get working quickly.
 Prerequisites
 -------------
 
-``django-treebeard`` needs at least **Python 2.5** to run, and
-**Django 1.0 or better**.
+``django-treebeard`` needs at least **Python 2.4** to run, and
+**Django 1.2 or better**.
 
 
 Installation

docs/mp_tree.rst

@@ -5,7 +5,7 @@ Materialized Path trees
 .. moduleauthor:: Gustavo Picon <tabo@tabo.pe>
 
 This is an efficient implementation of Materialized Path
-trees for Django 1.0+, as described by `Vadim Tropashko`_ in `SQL Design
+trees for Django 1.2+, as described by `Vadim Tropashko`_ in `SQL Design
 Patterns`_. Materialized Path is probably the fastest way of working with
 trees in SQL without the need of extra work in the database, like Oracle's
 ``CONNECT BY`` or sprocs and triggers for nested intervals.

docs/ns_tree.rst

@@ -4,7 +4,7 @@ Nested Sets trees
 .. module:: treebeard.ns_tree
 .. moduleauthor:: Gustavo Picon <tabo@tabo.pe>
 
-An implementation of Nested Sets trees for Django 1.0+, as described by
+An implementation of Nested Sets trees for Django 1.2+, as described by
 `Joe Celko`_ in `Trees and Hierarchies in SQL for Smarties`_.
 
 Nested sets have very efficient reads at the cost of high maintenance on

setup.py

@@ -33,7 +33,7 @@ def run_tests(self):
     packages=['treebeard', 'treebeard.templatetags'],
     package_dir={'treebeard': 'treebeard'},
     package_data={'treebeard': ['templates/admin/*.html']},
-    description='Efficient tree implementations for Django 1.0+',
+    description='Efficient tree implementations for Django 1.2+',
     long_description=open(root_dir() + '/README').read(),
     cmdclass={'test': pytest_test},
     install_requires=['Django>=1.2'],
@@ -42,12 +42,17 @@ def run_tests(self):
         'Development Status :: 5 - Production/Stable',
         'Intended Audience :: Developers',
         'License :: OSI Approved :: Apache Software License',
+        'Environment :: Web Environment',
+        'Framework :: Django',
         'Programming Language :: Python',
+        'Programming Language :: Python :: 2.4',
+        'Programming Language :: Python :: 2.5',
+        'Programming Language :: Python :: 2.6',
+        'Programming Language :: Python :: 2.7',
         'Operating System :: OS Independent',
         'Topic :: Software Development :: Libraries',
-        'Topic :: Utilities',
-        'Environment :: Web Environment',
-        'Framework :: Django'])
+        'Topic :: Utilities'])
+
 
 if __name__ == '__main__':
     setup(**setup_args)