Use instance check instead of equality in as_dataclass_node

pyiron_workflow/nodes/transform.py

@@ -386,7 +386,7 @@ def _extra_info(cls) -> str:
 def dataclass_node_factory(
     dataclass: type, use_cache: bool = True, /
 ) -> type[DataclassNode]:
-    if type(dataclass) is not type:
+    if not isinstance(dataclass, type):
         raise TypeError(
             f"{DataclassNode} expected to get a dataclass but {dataclass} is not "
             f"type `type`."

tests/unit/nodes/test_transform.py

@@ -1,6 +1,7 @@
 import pickle
 import random
 import unittest
+from abc import ABC, abstractmethod
 from dataclasses import dataclass, field, is_dataclass
 
 from pandas import DataFrame
@@ -249,6 +250,23 @@ class DecoratedDCLike:
                         "instantiation",
                     )
 
+        with self.subTest("From instantiated ABC"):
+
+            class MyAbstractData(ABC):
+                @abstractmethod
+                def shout(self):
+                    pass
+
+            try:
+                @as_dataclass_node
+                class MyConcreteData(MyAbstractData):
+                    name: str
+                    def shout(self):
+                        return f"!{self.name}!"
+            except: # noqa: E722
+                self.fail("Wrapping an implementation of an ABC should not raise exceptions!")
+
+
     def test_dataclass_typing_and_storage(self):
         md = MyData()