Refactor: Simplify BatchSimulate parameters by removing n_jobs

Signed-off-by: samadpls <[email protected]>
jonescompneurolab · Dec 3, 2024 · 7c13389 · 7c13389
1 parent c6ab1ae
commit 7c13389
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Showing 2 changed files with 3 additions and 4 deletions.
diff --git a/examples/howto/plot_batch_simulate.py b/examples/howto/plot_batch_simulate.py
@@ -116,8 +116,7 @@ def summary_func(results):
 net = jones_2009_model(mesh_shape=(3, 3))
 batch_simulation = BatchSimulate(net=net,
                                  set_params=set_params,
-                                 summary_func=summary_func,
-                                 n_trials=10)
+                                 summary_func=summary_func)
 simulation_results = batch_simulation.run(param_grid,
                                           n_jobs=n_jobs,
                                           combinations=False,

diff --git a/hnn_core/batch_simulate.py b/hnn_core/batch_simulate.py
@@ -266,10 +266,10 @@ def simulate_batch(self, param_combinations, n_jobs=1,
         with parallel_config(backend=backend):
             res = Parallel(n_jobs=n_jobs, verbose=verbose)(
                 delayed(self._run_single_sim)(
-                    params, n_jobs) for params in param_combinations)
+                    params) for params in param_combinations)
         return res
 
-    def _run_single_sim(self, param_values, n_jobs=1):
+    def _run_single_sim(self, param_values):
         """Run a single simulation.
 
         Parameters