unpack compressed tuples

Author: lukaspie

src/pynxtools/dataconverter/helpers.py

@@ -717,6 +717,8 @@ def is_value_valid_element_of_enum(value, elist) -> tuple[bool, list]:
 
 def is_valid_data_type(value: Any, accepted_types: Sequence) -> bool:
     """Checks whether the given value or its children are of an accepted type."""
+    if isinstance(value, tuple) and len(value) == 1:
+        value = value[0]
     if not isinstance(value, np.ndarray):
         value = np.array(value)
     # Handle 'object' dtype separately (for lists from HDF5 files)

src/pynxtools/dataconverter/validation.py

@@ -243,9 +243,6 @@ def best_namefit_of(
                     best_match = node
                     best_score = score
 
-        # if hint:
-        #     print(hint, node, name)
-
         return best_match
 
     # Only cache based on path. That way we retain the nx_class information