diff --git a/pyproject.toml b/pyproject.toml
index ba588ff..fcf3b52 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "basic_data_handling"
-version = "0.4.1"
+version = "0.4.2"
 description = """Basic Python functions for manipulating data that every programmer is used to.
 Comprehensive node collection for data manipulation in ComfyUI workflows.
 
diff --git a/src/basic_data_handling/control_flow_nodes.py b/src/basic_data_handling/control_flow_nodes.py
index 772d622..64fa3ed 100644
--- a/src/basic_data_handling/control_flow_nodes.py
+++ b/src/basic_data_handling/control_flow_nodes.py
@@ -188,7 +188,7 @@ def check_lazy_status(self, select: int, **kwargs) -> list[str]:
 
         return needed
 
-    def execute(self, selector: int, **kwargs) -> tuple[Any]:
+    def execute(self, select: int, **kwargs) -> tuple[Any]:
         # Build a case array from all case_X inputs
         cases = []
         for i in range(len(kwargs)):
@@ -199,8 +199,8 @@ def execute(self, selector: int, **kwargs) -> tuple[Any]:
                 break
 
         # Return the selected case if valid
-        if 0 <= selector < len(cases) and cases[selector] is not None:
-            return (cases[selector],)
+        if 0 <= select < len(cases) and cases[select] is not None:
+            return (cases[select],)
 
         # If select is out of range or the selected case is None, return default
         return (kwargs.get("default"),)
@@ -229,10 +229,6 @@ def INPUT_TYPES(cls):
     DESCRIPTION = cleandoc(__doc__ or "")
     FUNCTION = "execute"
 
-    @classmethod
-    def IS_CHANGED(s, value: Any):
-        return float("NaN") # not equal to anything -> trigger recalculation
-
     def execute(self, value: Any, select: bool = True) -> tuple[Any]:
         if select:
             return (value,)
@@ -296,6 +292,10 @@ def INPUT_TYPES(cls):
     DESCRIPTION = cleandoc(__doc__ or "")
     FUNCTION = "execute"
 
+    @classmethod
+    def IS_CHANGED(s, value: Any):
+        return float("NaN") # not equal to anything -> trigger recalculation
+
     def execute(self, value: Any) -> tuple[Any, int]:
         return (value,)