[MNT] Add args and kwargs for derived market

learnware/market/anchor.py

@@ -51,8 +51,8 @@ class AnchoredMarket(BaseMarket):
         Basic market version
     """
 
-    def __init__(self):
-        super(AnchoredMarket, self).__init__()
+    def __init__(self, *args, **kwargs):
+        super(AnchoredMarket, self).__init__(*args, **kwargs)
         self.anchor_learnware_list = {}  # anchor_id: anchor learnware
 
     def _update_anchor_learnware(self, anchor_id: str, anchor_learnware: Learnware):

learnware/market/evolve.py

@@ -14,8 +14,8 @@ class EvolvedMarket(BaseMarket):
         Basic market version
     """
 
-    def __init__(self):
-        super(EvolvedMarket, self).__init__()
+    def __init__(self, *args, **kwargs):
+        super(EvolvedMarket, self).__init__(*args, **kwargs)
 
     def generate_new_stat_specification(self, learnware: Learnware) -> BaseStatSpecification:
         """Generate new statistical specification for learnwares

learnware/market/evolve_anchor.py

@@ -15,8 +15,8 @@ class EvolvedAnchoredMarket(AnchoredMarket, EvolvedMarket):
         Market version with evolved learnwares
     """
 
-    def __init__(self):
-        super(EvolvedAnchoredMarket, self).__init__()
+    def __init__(self, *args, **kwargs):
+        super(EvolvedAnchoredMarket, self).__init__(*args, **kwargs)
 
     def evolve_anchor_learnware_list(self, anchor_id_list: List[str]):
         """Enable anchor learnwares to evolve, e.g., new stat_spec

learnware/market/heterogeneous_feature.py

@@ -34,8 +34,8 @@ class HeterogeneousFeatureMarket(EvolvedMarket):
         Market version with evolved learnwares
     """
 
-    def __init__(self):
-        super(HeterogeneousFeatureMarket, self).__init__()
+    def __init__(self, *args, **kwargs):
+        super(HeterogeneousFeatureMarket, self).__init__(*args, **kwargs)
         self.mapping_function_list = {}
 
     def _mapping_function_list_initialization(self, learnware_list: List[Learnware]):