py-pynn: add patch for numpy@1:24:

packages/py-pynn/package.py

@@ -61,6 +61,7 @@ class PyPynn(PythonPackage):
     depends_on("py-pytest",             type='test', when="@0.11.0:")
 
     patch('pynn-0.9.6-python3.patch', when='@0.9.6 ^python@3:')
+    patch('pynn-numpy-1.24.patch', when='@0.9.6: ^py-numpy@1.24:')
 
     # neuroml and nineml are optional dependencies. Leave out of import_modules to avoid errors in tests
     skip_modules = ['pyNN.neuroml', 'pyNN.nineml', 'pyNN.hardware']

packages/py-pynn/pynn-numpy-1.24.patch

+diff --git a/pyNN/brian2/projections.py b/pyNN/brian2/projections.py
+index 9fad3b9e..89f98dcf 100644
+--- a/pyNN/brian2/projections.py
++++ b/pyNN/brian2/projections.py
+@@ -169,8 +169,8 @@ class Projection(common.Projection):
+         if isinstance(self.pre, common.Assembly):
+             boundaries = np.cumsum([0] + [p.size for p in self.pre.populations])
+             assert indices.max() < boundaries[-1]
+-            partitions = np.split(indices, np.searchsorted(
+-                indices, boundaries[1:-1])) - boundaries[:-1]
++            partitions = np.array(np.split(indices, np.searchsorted(
++                indices, boundaries[1:-1])), dtype=object) - boundaries[:-1]
+             for i_group, local_indices in enumerate(partitions):
+                 if isinstance(self.pre.populations[i_group], common.PopulationView):
+                     partitions[i_group] = self.pre.populations[i_group].index_in_grandparent(