Release 0.10.1

NeuralEnsemble · Oct 13, 2022 · d76b4d0 · d76b4d0
1 parent ba50a22
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diff --git a/changelog b/changelog
@@ -1,3 +1,9 @@
+==============
+Release 0.10.1
+==============
+
+see doc/releases/0.10.1.txt
+
 ==============
 Release 0.10.0
 ==============

diff --git a/doc/conf.py b/doc/conf.py
@@ -78,7 +78,7 @@ class MockNESTModule(mock.Mock):
 # The short X.Y version.
 version = '0.10'
 # The full version, including alpha/beta/rc tags.
-release = '0.10.1.dev'
+release = '0.10.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -293,4 +293,4 @@ class MockNESTModule(mock.Mock):
 
 # -- inter-Sphinx mapping options ----------------------------------------------
 
-intersphinx_mapping = {'python': ('http://docs.python.org/3.8', None)}
+intersphinx_mapping = {'python': ('http://docs.python.org/3.9', None)}
diff --git a/doc/connections.txt b/doc/connections.txt
@@ -378,7 +378,7 @@ Optionally, we can also specify:
 
     * the name of the post-synaptic mechanism (e.g. ‘excitatory’, ‘NMDA’)
       (if not specified, PyNN picks a default depending on the weight
-       parameter of the synapse type);
+      parameter of the synapse type);
     * a label (autogenerated if not specified);
     * a :class:`Space` object, which determines how distances should be
       calculated for distance-dependent wiring schemes or parameter values.

diff --git a/doc/download.txt b/doc/download.txt
@@ -5,7 +5,7 @@ Downloads
 Source distributions
 --------------------
 
-The `latest stable version of PyNN`_ (0.10.0) may be downloaded from the
+The `latest stable version of PyNN`_ (0.10.1) may be downloaded from the
 `Python Package Index`_. This is recommended for
 anyone using PyNN for the first time.
 
@@ -14,6 +14,7 @@ the links below.
 
 Older versions:
 
+    * `0.10.0 <https://pypi.python.org/pypi/PyNN/0.10.0>`_
     * `0.9.6 <https://pypi.python.org/pypi/PyNN/0.9.6>`_
     * `0.8.0 <https://pypi.python.org/pypi/PyNN/0.8.0>`_
     * `0.7.5 <https://pypi.python.org/pypi/PyNN/0.7.5>`_

diff --git a/doc/installation.txt b/doc/installation.txt
@@ -7,10 +7,10 @@ install and run PyNN on Windows, but this has not been tested.
 
 Installing PyNN requires:
 
-    * Python (version 2.7, 3.6+)
+    * Python (version 3.7+)
     * a recent version of the NumPy_ package
     * the lazyarray_ package
-    * the Neo_ package (>= 0.8.0)
+    * the Neo_ package (>= 0.11.0)
     * at least one of the supported simulators: e.g. NEURON, NEST, or Brian 2.
 
 Optional dependencies are:
@@ -32,8 +32,8 @@ The easiest way to get PyNN is to use pip_::
 If you would prefer to install manually, :doc:`download the latest
 source distribution <download>`, then run the setup script, e.g.::
 
-    $ tar xzf PyNN-0.10.0.tar.gz
-    $ cd PyNN-0.10.0
+    $ tar xzf PyNN-0.10.1.tar.gz
+    $ cd PyNN-0.10.1
     $ python setup.py install
 
 This will install it to your Python :file:`site-packages` directory, and may

diff --git a/doc/introduction.txt b/doc/introduction.txt
@@ -12,7 +12,7 @@ Even if you don't wish to run simulations on multiple simulators, you may benefi
 
 It is straightforward to port an existing model from a Python-supporting simulator to PyNN, since this can be done incrementally, replacing one piece of simulator-specific code at a time with the PyNN equivalent, and testing that the model behaviour is unchanged at each step.
 
-:doc:`Download<download>` the current stable release of the library (0.10.0) or get the development version from the `Git repository`_ .
+:doc:`Download<download>` the current stable release of the library (0.10.1) or get the development version from the `Git repository`_ .
 
 Licence
 -------

diff --git a/pyNN/__init__.py b/pyNN/__init__.py
@@ -69,7 +69,7 @@
 :license: CeCILL, see LICENSE for details.
 """
 
-__version__ = '0.10.1.dev'
+__version__ = '0.10.1'
 __all__ = ["common", "random", "nest", "neuron", "brian2",
            "recording", "errors", "space", "descriptions",
            "standardmodels", "parameters", "core", "serialization"]
diff --git a/pyNN/common/projections.py b/pyNN/common/projections.py
@@ -168,7 +168,7 @@ def __repr__(self):
         return 'Projection("%s")' % self.label
 
     def __getitem__(self, i):
-        """Return the *i*th connection within the Projection."""
+        """Return the /i/th connection within the Projection."""
         raise NotImplementedError
 
     def __iter__(self):

diff --git a/setup.py b/setup.py
@@ -83,7 +83,7 @@ def find(self, command):
 
 setup(
     name="PyNN",
-    version="0.10.1.dev",
+    version="0.10.1",
     packages=['pyNN', 'pyNN.nest', 'pyNN.neuron',
               'pyNN.brian2', 'pyNN.common', 'pyNN.mock', 'pyNN.neuroml',
               'pyNN.recording', 'pyNN.standardmodels', 'pyNN.descriptions',
-Original file line number
+Diff line change
@@ Expand Up @@
     It is straightforward to port an existing model from a Python-supporting simulator to PyNN, since this can be done incrementally, replacing one piece of simulator-specific code at a time with the PyNN equivalent, and testing that the model behaviour is unchanged at each step.
-    :doc:`Download<download>` the current stable release of the library (0.10.0) or get the development version from the `Git repository`_ .
+    :doc:`Download<download>` the current stable release of the library (0.10.1) or get the development version from the `Git repository`_ .
     Licence
     -------
@@ Expand Down @@