Release 0.9.3

Author: Andrew Davison

MANIFEST.in

@@ -10,6 +10,7 @@ include test/system/scenarios/*.py
 include test/unittests/*.py
 include examples/*.py
 include doc/*.txt
+include doc/*/*.txt
 include LICENSE
 include AUTHORS
 include README.rst

pyNN/__init__.py

@@ -1,9 +1,9 @@
 """
 PyNN (pronounced 'pine') is a Python package for simulator-independent
-specification of neuronal network models. 
+specification of neuronal network models.
 
 In other words, you can write the code for a model once, using the PyNN API, and
-then run it without modification on any simulator that PyNN supports. 
+then run it without modification on any simulator that PyNN supports.
 
 To use PyNN, import the particular simulator module you wish to use, e.g.
     import pyNN.neuron as sim
@@ -23,15 +23,15 @@
     rank()
     num_processes()
     list_standard_models()
-    
+
 Functions for creating, connecting, modifying and recording from neurons
 (low-level interface):
     create()
     connect()
     set()
     record()
     initialize()
-    
+
 Classes for creating, connecting, modifying and recording from neurons
 (high-level interface):
     Population
@@ -69,7 +69,7 @@
 :license: CeCILL, see LICENSE for details.
 """
 
-__version__ = '0.9.2'
+__version__ = '0.9.3'
 __all__ = ["common", "random", "nest", "neuron", "brian",
            "recording", "errors", "space", "descriptions",
            "standardmodels", "parameters", "core"]

setup.py

@@ -86,7 +86,7 @@ def find(self, command):
 
 setup(
     name="PyNN",
-    version="0.9.2",
+    version="0.9.3",
     packages=['pyNN', 'pyNN.nest', 'pyNN.neuron',
                 'pyNN.brian', 'pyNN.common', 'pyNN.mock', 'pyNN.neuroml',
                 'pyNN.recording', 'pyNN.standardmodels', 'pyNN.descriptions',