fix copilot docstring

Author: LarsKue

bayesflow/networks/sequential/sequential.py

@@ -12,24 +12,24 @@ class Sequential(keras.Layer):
 
     This class extends `keras.Layer` and provides functionality for building,
     calling, and serializing a sequence of layers. Unlike `keras.Sequential`,
-    this implementation allows for more flexibility in handling layer arguments
-    and supports custom serialization through the `@serializable` decorator.
+    this implementation does not eagerly check input shapes, meaning it is
+    compatible with both single inputs and sets.
 
     Parameters
     ----------
-    layers : keras.Layer or Sequence[keras.Layer]
-        A single Keras layer or a sequence of Keras layers to be managed by this model.
-    **kwargs : dict
+    layers : keras.layer | Sequence[keras.layer]
+        A sequence of Keras layers to be managed by this model.
+        Can be passed by unpacking or as a single sequence.
+    **kwargs :
         Additional keyword arguments passed to the base `keras.Layer` class.
 
     Notes
     -----
-    - This class differs from `keras.Sequential` in that it does not assume a strict
-      linear stack of layers and provides custom methods for serialization and
-      configuration.
-    - It is designed to integrate with the BayesFlow framework and supports
-      additional utilities like `layer_kwargs`.
+    - This class differs from `keras.Sequential` in that it does not eagerly check
+        input shapes. This means that it is compatible with both single inputs
+        and sets.
     """
+
     def __init__(self, *layers: keras.Layer | Sequence[keras.Layer], **kwargs):
         super().__init__(**layer_kwargs(kwargs))
         if len(layers) == 1 and isinstance(layers[0], Sequence):