ran linter

bayesflow/adapters/adapter.py

@@ -15,7 +15,6 @@
     ConvertDType,
     Drop,
     ExpandDims,
-    ElementwiseTransform, # why wasn't this added before? 
     FilterTransform,
     Keep,
     LambdaTransform,
@@ -80,78 +79,74 @@ def __repr__(self):
         return f"Adapter([{' -> '.join(map(repr, self.transforms))}])"
 
     def __getitem__(self, index):
-
-        if isinstance(index, slice): 
-            if index.start > index.stop: 
+        if isinstance(index, slice):
+            if index.start > index.stop:
                 raise IndexError("Index slice must be positive integers such that a < b for adapter[a:b]")
-            if index.stop < len(self.transforms): 
+            if index.stop < len(self.transforms):
                 # print("What is the slice?")
                 # print(index)
                 # print(type(index))
-                # check that the slice is in range 
+                # check that the slice is in range
                 sliced_transforms = self.transforms[index]
                 # print("Are the sliced transforms a sequence")
                 # print(isinstance(sliced_transforms, Sequence))
                 # print("What is in the slice?")
                 # print(sliced_transforms)
-                new_adapter = Adapter(transforms = sliced_transforms)
+                new_adapter = Adapter(transforms=sliced_transforms)
                 return new_adapter
-            else: 
+            else:
                 raise IndexError("Index slice out of range")
-                        
-        elif isinstance(index, int): 
+
+        elif isinstance(index, int):
             if index < 0:
-                index = index + len(self.transforms) # negative indexing 
-            if index < 0 or index >= len(self.transforms): 
+                index = index + len(self.transforms)  # negative indexing
+            if index < 0 or index >= len(self.transforms):
                 raise IndexError("Adapter index out of range.")
             sliced_transforms = self.transforms[index]
-            new_adapter = Adapter(transforms = sliced_transforms)
+            new_adapter = Adapter(transforms=sliced_transforms)
             return new_adapter
         else:
             raise TypeError("Invalid index type. Must be int or slice.")
-
-
-    def __setitem__(self, index, new_value): 
 
-        if not isinstance(new_value, Adapter): 
+    def __setitem__(self, index, new_value):
+        if not isinstance(new_value, Adapter):
             raise TypeError("new_value must be an Adapter instance")
-
-
-        new_transform = new_value.transforms 
-
-        if len(new_transform) == 0: 
-            raise ValueError("new_value is an Adapter instance without any specified transforms, new_value Adapter must contain at least one transform.")
 
+        new_transform = new_value.transforms
 
-        if isinstance(index, slice): 
-            if index.start > index.stop: 
+        if len(new_transform) == 0:
+            raise ValueError(
+                "new_value is an Adapter instance without any specified transforms, new_value Adapter must contain at least one transform."
+            )
+
+        if isinstance(index, slice):
+            if index.start > index.stop:
                 raise IndexError("Index slice must be positive integers such that a < b for adapter[a:b]")
-            
+
             if index.stop < len(self.transforms):
                 self.transforms[index] = new_transform
-            
-            else: 
+
+            else:
                 raise IndexError("Index slice out of range")
-
 
-        elif isinstance(index, int): 
-            if index < 0: # negative indexing 
+        elif isinstance(index, int):
+            if index < 0:  # negative indexing
                 index = index + len(self.transforms)
-                
-            if index < 0 or index >= len(self.transforms): 
+
+            if index < 0 or index >= len(self.transforms):
                 raise IndexError("Index out of range.")
-                # could add that if the index is out of range, like index == len 
-                # then we just add the transform 
+                # could add that if the index is out of range, like index == len
+                # then we just add the transform
             print("what is self.transforms[index]?")
             print(self.transforms[index])
             print("what is the value of the newvalue")
             print(new_transform)
             print(type(new_transform))
-        
+
             self.transforms[index] = new_transform
-        else: 
-            raise  TypeError("Invalid index type. Must be int or slice.")
-    
+        else:
+            raise TypeError("Invalid index type. Must be int or slice.")
+
     def add_transform(self, transform: Transform):
         self.transforms.append(transform)
         return self
@@ -178,7 +173,7 @@ def apply(
         self.transforms.append(transform)
         return self
 
-    # Begin of transformed derived from transform classes 
+    # Begin of transformed derived from transform classes
     def as_set(self, keys: str | Sequence[str]):
         if isinstance(keys, str):
             keys = [keys]