format code

eaf.py

@@ -7,14 +7,19 @@ from joblib import Parallel, delayed
 
 num_cores = multiprocessing.cpu_count()
 
+
 def get_args_parse():
     can = argparse.ArgumentParser()
 
     can.add_argument("--nb-run", type=int, default=10, help="number of runs")
 
-    can.add_argument("--quality-threshold", type=float, default=600, help="Quality threshold")
-    
-    can.add_argument("--not-parallel", type=bool, default=False, help="launch runs sequentialy")
+    can.add_argument(
+        "--quality-threshold", type=float, default=600, help="Quality threshold"
+    )
+
+    can.add_argument(
+        "--not-parallel", type=bool, default=False, help="launch runs sequentialy"
+    )
 
     can.add_argument("--solver", type=str, default="num_random", help="Solver to use.")
 
@@ -23,7 +28,6 @@ def get_args_parse():
 
 def main():
 
-
     can = get_args_parse()
 
     the = can.parse_args()
@@ -34,14 +38,14 @@ def main():
         results = []
         for i in range(the.nb_run):
             # print(f"{i}th run")
-            results.append(
-                run(args)
-            )
+            results.append(run(args))
     else:
+
         def f(i):
             # print(f"{i}th run")
-            return  run(args)
-        results =  Parallel(n_jobs=num_cores)(delayed(f)(i) for i in range(the.nb_run))
+            return run(args)
+
+        results = Parallel(n_jobs=num_cores)(delayed(f)(i) for i in range(the.nb_run))
 
     fig = plt.figure()
 
@@ -51,9 +55,9 @@ def main():
 
     values = sorted(values, key=lambda el: el[1])
 
-    t = [iter for _,iter in values]
-    values = np.array([ val for val, _ in values])
-    values = np.cumsum( values >= the.quality_threshold) / len(values)
+    t = [iter for _, iter in values]
+    values = np.array([val for val, _ in values])
+    values = np.cumsum(values >= the.quality_threshold) / len(values)
 
     ax3.step(t, values)