Fixes to use neuron<9, numpy<2.4

.github/workflows/ci.yml

@@ -34,6 +34,8 @@ jobs:
       run: |
           pip install .
           pip install .[dev]
+          pip install "numpy<2.4" # Issue with numpy 2.4 and quantities, see https://github.com/OpenSourceBrain/osb-model-validation/issues/150
+
 
 
     - name: Lint with flake8
@@ -55,7 +57,7 @@ jobs:
         git clone https://github.com/NeuroML/pyNeuroML.git
         cd pyNeuroML
         git checkout $pynml_branch
-        pip install "NEURON>=8.2.2" # Specify version of neuron - 8.2.1 fails
+        pip install "NEURON>=8.2.2,<9.0.0" # Specify version of neuron - 8.2.1 fails
         #pip install -r requirements-dev.txt
         pip install .
         cd -
@@ -105,6 +107,7 @@ jobs:
         #export HDF5_DISABLE_VERSION_CHECK=1
         if [[ ${{ matrix.python-version }} != 2.7 ]]; then omv install PyNEST; fi
         #pip install h5py
+
         omv list -V # list installed engines
 
     - name: Run pytest

examples/Example6.py

@@ -114,7 +114,6 @@ def generate(ref="Example6_PyNN", add_inputs=True):
             d = {}
             d[ref] = Population(id=pop_id, size='int(%s*N_scaling)'%N_full[l][t], component=cell.id, properties={'color':color, 'type':t})
 
-            # Instead of exec, set the attribute directly using locals()
             d[ref].random_layout = RandomLayout(region=r.id)
             net.populations.append(d[ref])
             pop_dict['%s'% (pop_id)] = d[ref]

examples/LEMS_SimExample3.xml

@@ -2,7 +2,7 @@
 
     <!-- 
 
-        This LEMS file has been automatically generated using PyNeuroML v1.3.18 (libNeuroML v0.6.7)
+        This LEMS file has been automatically generated using PyNeuroML v1.3.22 (libNeuroML v0.6.8)
 
      -->
 

examples/LEMS_SimExample4.xml

@@ -2,7 +2,7 @@
 
     <!-- 
 
-        This LEMS file has been automatically generated using PyNeuroML v1.3.18 (libNeuroML v0.6.7)
+        This LEMS file has been automatically generated using PyNeuroML v1.3.22 (libNeuroML v0.6.8)
 
      -->