Simplify SimulationProgress() to a normal class instead of a decorator

neurodamus/core/_utils.py

@@ -70,23 +70,15 @@ def rank0_wrapper(*args, **kw):
 
 
 class SimulationProgress:
-    def __init__(self, f):
+    def __init__(self):
         """
-        Decorator class which will set up a timer to perioducally check the amount of time lapsed
-        in the simulation compared to the final tstop value.  This is converted into a percentage
+        Class which will set up a timer to perioducally check the amount of time lapsed
+        in the simulation compared to the final tstop value. This is converted into a percentage
         of the job complete which is then printed to the console.
         """
-        self.f = f
-        wraps(f)(self)
-
-    def __call__(self, *args, **kwargs):
-        # Start / update progress tracking
         self.last_time_check = time.time()
         self.sim_start = self.last_time_check
         self.update_progress()
-        # Execute the decorated function
-        result = self.f(*args, **kwargs)
-        return result
 
     @run_only_rank0
     def update_progress(self):

neurodamus/node.py

@@ -1300,8 +1300,8 @@ def run_all(self):
 
     # -
     @return_neuron_timings
-    @SimulationProgress
     def _run_neuron(self):
+        SimulationProgress()
         self.solve()
         logging.info("Simulation finished.")