Some black formatting

examples/sonatatest/run_bmtk.py

@@ -2,17 +2,17 @@
 
 import sys
 
-def run(config_file, simulator):
 
-    if simulator=='NEURON':
+def run(config_file, simulator):
+    if simulator == "NEURON":
         from bmtk.simulator import bionet
+
         conf = bionet.Config.from_json(config_file, validate=True)
         conf.build_env()
         net = bionet.BioNetwork.from_config(conf)
         sim = bionet.BioSimulator.from_config(conf, network=net)
 
-
-    elif simulator=='NEST':
+    elif simulator == "NEST":
         from bmtk.simulator import pointnet
         conf = pointnet.Config.from_json(config_file)
         conf.build_env()
@@ -22,8 +22,5 @@ def run(config_file, simulator):
     sim.run()
 
 
-if __name__ == '__main__':
-
-        run('config.json', 'NEST')
-
-
+if __name__ == "__main__":
+    run("config.json", "NEST")

neuromllite/MDFHandler.py

@@ -409,7 +409,7 @@ def _comp_to_mdf_node(self, nmllite_comp, lems_comp_id, size=1, properties=None)
                 # node["parameters"][sv.name]["value"] = [0]*size
 
                 node["output_ports"][sv.name] = {"value": sv.name}
-                print_v("Adding %s as an output port"%sv.name)
+                print_v("Adding %s as an output port" % sv.name)
                 if sv.exposure:
                     node["output_ports"][sv.exposure] = {"value": sv.name}
 

neuromllite/NetworkGenerator.py

@@ -410,7 +410,9 @@ def generate_network(
                         if input.weight
                         else 1
                     )
-                    if flip * 100.0 < evaluate(input.percentage, nl_model.parameters, rng):
+                    if flip * 100.0 < evaluate(
+                        input.percentage, nl_model.parameters, rng
+                    ):
                         if input.number_per_cell and input.segment_ids:
                             raise Exception(
                                 "On input: %s, only one of number_per_cell or segment_ids is allowed"
@@ -1284,17 +1286,17 @@ def generate_value_array(node, index, context='{0}', param='value'):
 
 import sys
 
-def run(config_file, simulator):
 
-    if simulator=='NEURON':
+def run(config_file, simulator):
+    if simulator == "NEURON":
         from bmtk.simulator import bionet
+
         conf = bionet.Config.from_json(config_file, validate=True)
         conf.build_env()
         net = bionet.BioNetwork.from_config(conf)
         sim = bionet.BioSimulator.from_config(conf, network=net)
 
-
-    elif simulator=='NEST':
+    elif simulator == "NEST":
         from bmtk.simulator import pointnet
         conf = pointnet.Config.from_json(config_file)
         conf.build_env()
@@ -1304,11 +1306,8 @@ def run(config_file, simulator):
     sim.run()
 
 
-if __name__ == '__main__':
-
-        run('config.json', '%s')
-
-            """
+if __name__ == "__main__":
+    run("config.json", "%s")"""
 
             run_bmtk_file = open("run_bmtk.py", "w")
             run_bmtk_file.write(run_bmtk_template % (target_simulator))

neuromllite/utils.py

@@ -80,6 +80,7 @@ def load_network_yaml(filename):
 
     return net
 
+
 def load_simulation(filename):
     """
     Load a NeuroMLlite simulation JSON/YAML file
@@ -89,6 +90,7 @@ def load_simulation(filename):
     else:
         return load_simulation_json(filename)
 
+
 def load_simulation_json(filename: str) -> Optional[dict]:
     """
     Load a NeuroMLlite simulation JSON file