[MNT] black format

learnware/client/learnware_client.py

@@ -432,11 +432,17 @@ class LearnwareClient:
         logger.info("test ok")
         pass
 
-    def reuse_learnware(self, input_array: np.ndarray, learnware_list: List[Learnware], learnware_zippaths: List[str], reuser: BaseReuser):
+    def reuse_learnware(
+        self,
+        input_array: np.ndarray,
+        learnware_list: List[Learnware],
+        learnware_zippaths: List[str],
+        reuser: BaseReuser,
+    ):
         logger.info(f"reuse learnare list {learnware_list} with reuser {reuser}")
         with LearnwaresContainer(learnware_list, learnware_zippaths) as env_container:
             learnware_list = env_container.get_learnware_list_with_container()
             reuser.reset(learnware_list=learnware_list)
             result = reuser.predict(input_array)
-            
-        return result
+
+        return result

learnware/learnware/base.py

@@ -91,7 +91,7 @@ class BaseReuser:
         for _k, _v in kwargs.items():
             if hasattr(_k):
                 setattr(_k, _v)
-        
+
     def predict(self, user_data: np.ndarray) -> np.ndarray:
         """Give the final prediction for user data with reused learnware
 

learnware/learnware/reuse.py

@@ -265,7 +265,7 @@ class JobSelectorReuser(BaseReuser):
 class AveragingReuser(BaseReuser):
     """Baseline Multiple Learnware Reuser using Ensemble Method"""
 
-    def __init__(self, learnware_list: List[Learnware] = None, mode: str = 'mean'):
+    def __init__(self, learnware_list: List[Learnware] = None, mode: str = "mean"):
         """The initialization method for averaging ensemble reuser
 
         Parameters
@@ -330,7 +330,7 @@ class EnsemblePruningReuser(BaseReuser):
     References: [1] Yu-Chang Wu, Yi-Xiao He, Chao Qian, and Zhi-Hua Zhou. Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. In: Proceedings of the 17th International Conference on Parallel Problem Solving from Nature (PPSN'22), Dortmund, Germany, 2022.
     """
 
-    def __init__(self, learnware_list: List[Learnware] = None, mode: str = 'classification'):
+    def __init__(self, learnware_list: List[Learnware] = None, mode: str = "classification"):
         """The initialization method for ensemble pruning reuser
 
         Parameters