diff --git a/README.md b/README.md
index 263373a..88706f4 100644
--- a/README.md
+++ b/README.md
@@ -274,6 +274,46 @@ ComfyUI has different data types that serve different purposes:
 - Supports built-in ComfyUI iteration over each item
 - Best for:
     - Working directly with multiple items in parallel
+    - Processing each item in a collection separately
+    - When you need ComfyUI's automatic iteration functionality
+
+### 2. LIST
+- A Python list passed as a single ComfyUI variable
+- Must be processed as a complete unit by compatible nodes
+- Operations apply to the entire LIST at once
+- Best for:
+    - Storing and manipulating structured data as a single unit
+    - When you need to preserve ordered collections
+    - Passing complex data structures between nodes
+
+### 3. SET
+- A Python set passed as a single ComfyUI variable
+- Unordered collection of unique items
+- Useful for membership testing, removing duplicates, and set operations
+- Best for:
+    - When you need to ensure uniqueness of items
+    - Performing mathematical set operations (union, intersection, difference)
+    - Efficient membership testing (contains operation)
+    - When item order doesn't matter
+
+## Control Flow Nodes
+
+Control flow nodes provide mechanisms to direct the flow of execution in your ComfyUI workflows, allowing for conditional processing and dynamic execution paths.
+
+### Available Control Flow Nodes:
+
+#### Conditional Processing
+- **if/else** - Routes execution based on a boolean condition
+- **if/elif/.../else** - Supports multiple conditional branches
+- **switch/case** - Selects from multiple options based on an index
+
+#### Execution Management
+- **disable flow** - Conditionally enables or disables a flow
+- **flow select** - Directs output to either "true" or "false" path
+- **force calculation** - Prevents caching and forces recalculation
+- **force execution order** - Controls the sequence of node execution
+
+These control flow nodes enable building more complex, dynamic workflows with decision-making capabilities based on runtime conditions.
     - Batch processing scenarios
     - When you need to apply the same operation to multiple inputs
     - When your operation needs to work with individual items separately
diff --git a/pyproject.toml b/pyproject.toml
index 7dcd4fd..ba588ff 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "basic_data_handling"
-version = "0.4.0"
+version = "0.4.1"
 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 a18d53a..772d622 100644
--- a/src/basic_data_handling/control_flow_nodes.py
+++ b/src/basic_data_handling/control_flow_nodes.py
@@ -90,7 +90,7 @@ def check_lazy_status(self, **kwargs) -> list[str]:
         # Check if condition
         if kwargs.get("if", False) and kwargs.get("then") is None:
             needed.append("then")
-            return needed  # If main condition is true, we only need "then"
+            return needed  # If the main condition is true, we only need "then"
 
         # Check each elif condition
         elif_index = 0
@@ -153,7 +153,7 @@ class SwitchCase(ComfyNodeABC):
     def INPUT_TYPES(cls):
         return {
             "required": ContainsDynamicDict({
-                "selector": (IO.INT, {"default": 0, "min": 0}),
+                "select": (IO.INT, {"default": 0, "min": 0}),
                 "case_0": (IO.ANY, {"lazy": True, "_dynamic": "number"}),
             }),
             "optional": {
@@ -167,29 +167,29 @@ def INPUT_TYPES(cls):
     DESCRIPTION = cleandoc(__doc__ or "")
     FUNCTION = "execute"
 
-    def check_lazy_status(self, selector: int, **kwargs) -> list[str]:
+    def check_lazy_status(self, select: int, **kwargs) -> list[str]:
         needed = []
 
-        # Check for needed case inputs based on selector
+        # Check for necessary case inputs based on select
         case_count = 0
         for key, value in kwargs.items():
             if key.startswith("case_"):
                 try:
                     case_index = int(key.split("_")[1])
                     case_count = max(case_count, case_index + 1)
-                    if value is None and selector == case_index:
+                    if value is None and select == case_index:
                         needed.append(key)
                 except ValueError:
                     pass  # Not a numeric case key
 
-        # Check if default is needed when selector is out of range
-        if "default" in kwargs and kwargs["default"] is None and not 0 <= selector < case_count:
+        # Check if default is needed when select is out of range
+        if "default" in kwargs and kwargs["default"] is None and not 0 <= select < case_count:
             needed.append("default")
 
         return needed
 
     def execute(self, selector: int, **kwargs) -> tuple[Any]:
-        # Build cases array from all case_X inputs
+        # Build a case array from all case_X inputs
         cases = []
         for i in range(len(kwargs)):
             case_key = f"case_{i}"
@@ -202,10 +202,44 @@ def execute(self, selector: int, **kwargs) -> tuple[Any]:
         if 0 <= selector < len(cases) and cases[selector] is not None:
             return (cases[selector],)
 
-        # If selector is out of range or the selected case is None, return default
+        # If select is out of range or the selected case is None, return default
         return (kwargs.get("default"),)
 
 
+class DisableFlow(ComfyNodeABC):
+    """
+    Conditionally enable or disable a flow.
+
+    This node takes a value and either passes it through or blocks execution
+    based on the 'select' parameter. When 'select' is True, the value passes through;
+    when False, execution is blocked.
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": (IO.ANY, {}),
+                "select": (IO.BOOLEAN, {"default": True}),
+            }
+        }
+
+    RETURN_TYPES = (IO.ANY,)
+    RETURN_NAMES = ("value",)
+    CATEGORY = "Basic/flow control"
+    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,)
+        else:
+            return (ExecutionBlocker(None),)
+
+
 class FlowSelect(ComfyNodeABC):
     """
     Select the direction of the flow.
@@ -237,6 +271,35 @@ def select(self, value, select = True) -> tuple[Any, Any]:
             return ExecutionBlocker(None), value
 
 
+class ForceCalculation(ComfyNodeABC):
+    """
+    Forces recalculation of the connected nodes.
+
+    This node passes the input directly to the output but prevents caching
+    by marking itself as an output node and also indicates the out has changed.
+    Use this when you need to ensure nodes are always recalculated.
+    """
+
+    OUTPUT_NODE = True  # Marks as an output node to force calculation
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "value": (IO.ANY, {}),
+            }
+        }
+
+    RETURN_TYPES = (IO.ANY,)
+    RETURN_NAMES = ("value",)
+    CATEGORY = "Basic/flow control"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "execute"
+
+    def execute(self, value: Any) -> tuple[Any, int]:
+        return (value,)
+
+
 class ExecutionOrder(ComfyNodeABC):
     """
     Force execution order in the workflow.
@@ -268,7 +331,9 @@ def execute(self, **kwargs) -> tuple[Any]:
     "Basic data handling: IfElse": IfElse,
     "Basic data handling: IfElifElse": IfElifElse,
     "Basic data handling: SwitchCase": SwitchCase,
+    "Basic data handling: DisableFlow": DisableFlow,
     "Basic data handling: FlowSelect": FlowSelect,
+    "Basic data handling: ForceCalculation": ForceCalculation,
     "Basic data handling: ExecutionOrder": ExecutionOrder,
 }
 
@@ -276,6 +341,8 @@ def execute(self, **kwargs) -> tuple[Any]:
     "Basic data handling: IfElse": "if/else",
     "Basic data handling: IfElifElse": "if/elif/.../else",
     "Basic data handling: SwitchCase": "switch/case",
+    "Basic data handling: DisableFlow": "disable flow",
     "Basic data handling: FlowSelect": "flow select",
+    "Basic data handling: ForceCalculation": "force calculation",
     "Basic data handling: ExecutionOrder": "force execution order",
 }
diff --git a/src/basic_data_handling/data_list_nodes.py b/src/basic_data_handling/data_list_nodes.py
index 5da7b9c..894d68d 100644
--- a/src/basic_data_handling/data_list_nodes.py
+++ b/src/basic_data_handling/data_list_nodes.py
@@ -153,6 +153,56 @@ def create_list(self, **kwargs: list[Any]) -> tuple[list[Any]]:
         return (values[:-1],)
 
 
+class DataListAll(ComfyNodeABC):
+    """
+    Check if all elements in the data list are true.
+    Returns true if all elements are true (or if the list is empty).
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "list": (IO.ANY, {}),
+            }
+        }
+
+    RETURN_TYPES = (IO.BOOLEAN,)
+    RETURN_NAMES = ("result",)
+    CATEGORY = "Basic/Data List"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "check_all"
+    INPUT_IS_LIST = True
+
+    def check_all(self, **kwargs: list[Any]) -> tuple[bool]:
+        return (all(kwargs.get('list', [])),)
+
+
+class DataListAny(ComfyNodeABC):
+    """
+    Check if any element in the data list is true.
+    Returns true if at least one element is true. Returns false if the list is empty.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "list": (IO.ANY, {}),
+            }
+        }
+
+    RETURN_TYPES = (IO.BOOLEAN,)
+    RETURN_NAMES = ("result",)
+    CATEGORY = "Basic/Data List"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "check_any"
+    INPUT_IS_LIST = True
+
+    def check_any(self, **kwargs: list[Any]) -> tuple[bool]:
+        return (any(kwargs.get('list', [])),)
+
+
 class DataListAppend(ComfyNodeABC):
     """
     Adds an item to the end of a list.
@@ -243,6 +293,37 @@ def count(self, **kwargs: list[Any]) -> tuple[int]:
         return (kwargs.get('list', []).count(value),)
 
 
+class DataListEnumerate(ComfyNodeABC):
+    """
+    Enumerate a data list, returning a list of [index, value] pairs.
+    Optionally, specify a starting value for the index.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "list": (IO.ANY, {}),
+            },
+            "optional": {
+                "start": (IO.INT, {"default": 0}),
+            }
+        }
+
+    RETURN_TYPES = (IO.ANY,)
+    RETURN_NAMES = ("list",)
+    CATEGORY = "Basic/Data List"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "enumerate_list"
+    INPUT_IS_LIST = True
+    OUTPUT_IS_LIST = (True,)
+
+    def enumerate_list(self, **kwargs: list[Any]) -> tuple[list]:
+        input_list = kwargs.get('list', [])
+        start = kwargs.get('start', [0])[0]
+        return ([list(item) for item in enumerate(input_list, start=start)],)
+
+
 class DataListExtend(ComfyNodeABC):
     """
     Extends a list by appending elements from another list.
@@ -675,6 +756,37 @@ def pop_random_element(self, **kwargs: list[Any]) -> tuple[list[Any], Any]:
         return input_list, None
 
 
+class DataListRange(ComfyNodeABC):
+    """
+    Creates a data list containing a sequence of numbers.
+
+    This node generates a sequence of numbers similar to Python's range() function.
+    It takes start, stop, and step parameters to define the sequence.
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "start": ("INT", {"default": 0}),
+                "stop": ("INT", {"default": 10}),
+            },
+            "optional": {
+                "step": ("INT", {"default": 1}),
+            }
+        }
+
+    RETURN_TYPES = ("INT",)
+    FUNCTION = "create_range"
+    CATEGORY = "Basic/Data List"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    OUTPUT_IS_LIST = (True,)
+
+    def create_range(self, stop: int, start: int = 0, step: int = 1) -> tuple[list[int]]:
+        if step == 0:
+            raise ValueError("Step cannot be zero")
+        return (list(range(start, stop, step)),)
+
+
 class DataListRemove(ComfyNodeABC):
     """
     Removes the first occurrence of a specified value from a list.
@@ -845,6 +957,37 @@ def sort(self, **kwargs: list[Any]) -> tuple[list[Any]]:
         return (result,)
 
 
+class DataListSum(ComfyNodeABC):
+    """
+    Sum all elements of the data list.
+    Returns 0 for an empty list.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "list": (IO.NUMBER, {}),
+            },
+            "optional": {
+                "start": (IO.INT, {"default": 0}),
+            }
+        }
+
+    RETURN_TYPES = (IO.INT, IO.FLOAT,)
+    RETURN_NAMES = ("int_sum", "float_sum",)
+    CATEGORY = "Basic/Data List"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "sum_list"
+    INPUT_IS_LIST = True
+
+    def sum_list(self, **kwargs: list[Any]) -> tuple[int, float]:
+        input_list = kwargs.get('list', [])
+        start = kwargs.get('start', [0])[0]
+        result = sum(input_list, start)
+        return int(result), float(result)
+
+
 class DataListZip(ComfyNodeABC):
     """
     Combines multiple lists element-wise.
@@ -944,9 +1087,12 @@ def convert(self, **kwargs: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: DataListCreateFromFloat": DataListCreateFromFloat,
     "Basic data handling: DataListCreateFromInt": DataListCreateFromInt,
     "Basic data handling: DataListCreateFromString": DataListCreateFromString,
+    "Basic data handling: DataListAll": DataListAll,
+    "Basic data handling: DataListAny": DataListAny,
     "Basic data handling: DataListAppend": DataListAppend,
     "Basic data handling: DataListContains": DataListContains,
     "Basic data handling: DataListCount": DataListCount,
+    "Basic data handling: DataListEnumerate": DataListEnumerate,
     "Basic data handling: DataListExtend": DataListExtend,
     "Basic data handling: DataListFilter": DataListFilter,
     "Basic data handling: DataListFilterSelect": DataListFilterSelect,
@@ -960,11 +1106,13 @@ def convert(self, **kwargs: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: DataListMin": DataListMin,
     "Basic data handling: DataListPop": DataListPop,
     "Basic data handling: DataListPopRandom": DataListPopRandom,
+    "Basic data handling: DataListRange": DataListRange,
     "Basic data handling: DataListRemove": DataListRemove,
     "Basic data handling: DataListReverse": DataListReverse,
     "Basic data handling: DataListSetItem": DataListSetItem,
     "Basic data handling: DataListSlice": DataListSlice,
     "Basic data handling: DataListSort": DataListSort,
+    "Basic data handling: DataListSum": DataListSum,
     "Basic data handling: DataListZip": DataListZip,
     "Basic data handling: DataListToList": DataListToList,
     "Basic data handling: DataListToSet": DataListToSet,
@@ -976,9 +1124,12 @@ def convert(self, **kwargs: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: DataListCreateFromFloat": "create Data List from FLOATs",
     "Basic data handling: DataListCreateFromInt": "create Data List from INTs",
     "Basic data handling: DataListCreateFromString": "create Data List from STRINGs",
+    "Basic data handling: DataListAll": "all",
+    "Basic data handling: DataListAny": "any",
     "Basic data handling: DataListAppend": "append",
     "Basic data handling: DataListContains": "contains",
     "Basic data handling: DataListCount": "count",
+    "Basic data handling: DataListEnumerate": "enumerate",
     "Basic data handling: DataListExtend": "extend",
     "Basic data handling: DataListFilter": "filter",
     "Basic data handling: DataListFilterSelect": "filter select",
@@ -992,11 +1143,13 @@ def convert(self, **kwargs: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: DataListMin": "min",
     "Basic data handling: DataListPop": "pop",
     "Basic data handling: DataListPopRandom": "pop random",
+    "Basic data handling: DataListRange": "range",
     "Basic data handling: DataListRemove": "remove",
     "Basic data handling: DataListReverse": "reverse",
     "Basic data handling: DataListSetItem": "set item",
     "Basic data handling: DataListSlice": "slice",
     "Basic data handling: DataListSort": "sort",
+    "Basic data handling: DataListSum": "sum",
     "Basic data handling: DataListZip": "zip",
     "Basic data handling: DataListToList": "convert to LIST",
     "Basic data handling: DataListToSet": "convert to SET",
diff --git a/src/basic_data_handling/list_nodes.py b/src/basic_data_handling/list_nodes.py
index 5d3e3e8..870d5ca 100644
--- a/src/basic_data_handling/list_nodes.py
+++ b/src/basic_data_handling/list_nodes.py
@@ -143,6 +143,52 @@ def create_list(self, **kwargs: list[Any]) -> tuple[list[Any]]:
         return (values,)
 
 
+class ListAll:
+    """
+    Check if all elements in the list are true.
+    Returns true if all elements are true (or if the list is empty).
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> dict:
+        return {
+            "required": {
+                "list": ("LIST",),
+            }
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    CATEGORY = "Basic/LIST"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "check_all"
+
+    def check_all(self, list: list[Any]) -> tuple[bool]:
+        return (all(list),)
+
+
+class ListAny:
+    """
+    Check if any element in the list is true.
+    Returns true if at least one element is true. Returns false if the list is empty.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> dict:
+        return {
+            "required": {
+                "list": ("LIST",),
+            }
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    CATEGORY = "Basic/LIST"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "check_any"
+
+    def check_any(self, list: list[Any]) -> tuple[bool]:
+        return (any(list),)
+
+
 class ListAppend(ComfyNodeABC):
     """
     Adds an item to the end of a LIST.
@@ -222,6 +268,32 @@ def count(self, list: list[Any], value: Any) -> tuple[int]:
         return (list.count(value),)
 
 
+class ListEnumerate:
+    """
+    Enumerate a list, returning a list of [index, value] pairs.
+    Optionally, specify a starting value for the index.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> dict:
+        return {
+            "required": {
+                "list": ("LIST",),
+            },
+            "optional": {
+                "start": ("INT", {"default": 0}),
+            }
+        }
+
+    RETURN_TYPES = ("LIST",)
+    CATEGORY = "Basic/LIST"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "enumerate_list"
+
+    def enumerate_list(self, list: list[Any], start: int = 0) -> tuple[list]:
+        return ([__builtins__['list'](enumerate(list, start=start))],)
+
+
 class ListExtend(ComfyNodeABC):
     """
     Extends a LIST by appending elements from another LIST.
@@ -548,6 +620,36 @@ def pop_random_element(self, list: list[Any]) -> tuple[list[Any], Any]:
         return result, None
 
 
+class ListRange(ComfyNodeABC):
+    """
+    Creates a LIST containing a sequence of numbers.
+
+    This node generates a LIST of numbers similar to Python's range() function.
+    It takes start, stop, and step parameters to define the sequence.
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "start": ("INT", {"default": 0}),
+                "stop": ("INT", {"default": 10}),
+            },
+            "optional": {
+                "step": ("INT", {"default": 1}),
+            }
+        }
+
+    RETURN_TYPES = ("LIST",)
+    CATEGORY = "Basic/LIST"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "create_range"
+
+    def create_range(self, start: int, stop: int, step: int = 1) -> tuple[list[int]]:
+        if step == 0:
+            raise ValueError("Step cannot be zero")
+        return (list(range(start, stop, step)),)
+
+
 class ListRemove(ComfyNodeABC):
     """
     Removes the first occurrence of a specified value from a LIST.
@@ -635,7 +737,6 @@ def set_item(self, list: list[Any], index: int, value: Any) -> tuple[list[Any]]:
         except IndexError:
             raise IndexError(f"Index {index} out of range for LIST of length {len(list)}")
 
-
 class ListSlice(ComfyNodeABC):
     """
     Creates a slice of a LIST.
@@ -665,7 +766,6 @@ def slice(self, list: list[Any], start: int = 0, stop: int = INT_MAX,
               step: int = 1) -> tuple[list[Any]]:
         return (list[start:stop:step],)
 
-
 class ListSort(ComfyNodeABC):
     """
     Sorts the items in a LIST.
@@ -702,6 +802,33 @@ def sort(self, list: list[Any], reverse: str = "False") -> tuple[list[Any]]:
             return (list.copy(),)
 
 
+class ListSum:
+    """
+    Sum all elements of the list.
+    Returns 0 for an empty list.
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> dict:
+        return {
+            "required": {
+                "list": ("LIST",),
+            },
+            "optional": {
+                "start": ("INT", {"default": 0}),
+            }
+        }
+
+    RETURN_TYPES = ("INT", "FLOAT",)
+    CATEGORY = "Basic/LIST"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "sum_list"
+
+    def sum_list(self, list: list[Any], start: int = 0) -> tuple[int, float]:
+        result = sum(list, start)
+        return result, float(result)
+
+
 class ListToDataList(ComfyNodeABC):
     """
     Converts a LIST object into a ComfyUI data list.
@@ -758,9 +885,12 @@ def convert(self, list: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: ListCreateFromFloat": ListCreateFromFloat,
     "Basic data handling: ListCreateFromInt": ListCreateFromInt,
     "Basic data handling: ListCreateFromString": ListCreateFromString,
+    "Basic data handling: ListAll": ListAll,
+    "Basic data handling: ListAny": ListAny,
     "Basic data handling: ListAppend": ListAppend,
     "Basic data handling: ListContains": ListContains,
     "Basic data handling: ListCount": ListCount,
+    "Basic data handling: ListEnumerate": ListEnumerate,
     "Basic data handling: ListExtend": ListExtend,
     "Basic data handling: ListFirst": ListFirst,
     "Basic data handling: ListGetItem": ListGetItem,
@@ -772,11 +902,13 @@ def convert(self, list: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: ListMin": ListMin,
     "Basic data handling: ListPop": ListPop,
     "Basic data handling: ListPopRandom": ListPopRandom,
+    "Basic data handling: ListRange": ListRange,
     "Basic data handling: ListRemove": ListRemove,
     "Basic data handling: ListReverse": ListReverse,
     "Basic data handling: ListSetItem": ListSetItem,
     "Basic data handling: ListSlice": ListSlice,
     "Basic data handling: ListSort": ListSort,
+    "Basic data handling: ListSum": ListSum,
     "Basic data handling: ListToDataList": ListToDataList,
     "Basic data handling: ListToSet": ListToSet,
 }
@@ -787,9 +919,12 @@ def convert(self, list: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: ListCreateFromFloat": "create LIST from FLOATs",
     "Basic data handling: ListCreateFromInt": "create LIST from INTs",
     "Basic data handling: ListCreateFromString": "create LIST from STRINGs",
+    "Basic data handling: ListAll": "all",
+    "Basic data handling: ListAny": "any",
     "Basic data handling: ListAppend": "append",
     "Basic data handling: ListContains": "contains",
     "Basic data handling: ListCount": "count",
+    "Basic data handling: ListEnumerate": "enumerate",
     "Basic data handling: ListExtend": "extend",
     "Basic data handling: ListFirst": "first",
     "Basic data handling: ListGetItem": "get item",
@@ -801,11 +936,13 @@ def convert(self, list: list[Any]) -> tuple[set[Any]]:
     "Basic data handling: ListMin": "min",
     "Basic data handling: ListPop": "pop",
     "Basic data handling: ListPopRandom": "pop random",
+    "Basic data handling: ListRange": "range",
     "Basic data handling: ListRemove": "remove",
     "Basic data handling: ListReverse": "reverse",
     "Basic data handling: ListSetItem": "set item",
     "Basic data handling: ListSlice": "slice",
     "Basic data handling: ListSort": "sort",
+    "Basic data handling: ListSum": "sum",
     "Basic data handling: ListToDataList": "convert to Data List",
     "Basic data handling: ListToSet": "convert to SET",
 }
diff --git a/src/basic_data_handling/set_nodes.py b/src/basic_data_handling/set_nodes.py
index e4c12c2..18ce224 100644
--- a/src/basic_data_handling/set_nodes.py
+++ b/src/basic_data_handling/set_nodes.py
@@ -168,6 +168,56 @@ def add(self, set: set[Any], item: Any) -> tuple[set[Any]]:
         return (result,)
 
 
+class SetAll(ComfyNodeABC):
+    """
+    Checks if all elements in the SET are true.
+
+    This node takes a SET as input and returns True if all elements in the SET
+    evaluate to True (or if the SET is empty), and False otherwise.
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "set": ("SET", {}),
+            }
+        }
+
+    RETURN_TYPES = (IO.BOOLEAN,)
+    RETURN_NAMES = ("all_true",)
+    CATEGORY = "Basic/SET"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "check_all"
+
+    def check_all(self, set: set[Any]) -> tuple[bool]:
+        return (all(set),)
+
+
+class SetAny(ComfyNodeABC):
+    """
+    Checks if any element in the SET is true.
+
+    This node takes a SET as input and returns True if at least one element
+    in the SET evaluates to True, and False otherwise (including if the SET is empty).
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "set": ("SET", {}),
+            }
+        }
+
+    RETURN_TYPES = (IO.BOOLEAN,)
+    RETURN_NAMES = ("any_true",)
+    CATEGORY = "Basic/SET"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "check_any"
+
+    def check_any(self, set: set[Any]) -> tuple[bool]:
+        return (any(set),)
+
+
 class SetContains(ComfyNodeABC):
     """
     Checks if a SET contains a specified value.
@@ -248,6 +298,37 @@ def discard(self, set: set[Any], item: Any) -> tuple[set[Any]]:
         return (result,)
 
 
+class SetEnumerate(ComfyNodeABC):
+    """
+    Enumerates elements in a SET.
+
+    This node takes a SET as input and returns a LIST of tuples where each tuple
+    contains an index and a value from the SET. The start parameter specifies the
+    initial index value (default is 0).
+
+    Note: Since SETs are unordered, the enumeration order is arbitrary but consistent
+    within a single operation.
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "set": ("SET", {}),
+            },
+            "optional": {
+                "start": ("INT", {"default": 0}),
+            }
+        }
+
+    RETURN_TYPES = ("LIST",)
+    CATEGORY = "Basic/SET"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "enumerate_set"
+
+    def enumerate_set(self, set: set[Any], start: int = 0) -> tuple[list]:
+        return (list(enumerate(set, start=start)),)
+
+
 class SetIntersection(ComfyNodeABC):
     """
     Returns the intersection of two or more SETs.
@@ -481,6 +562,39 @@ def remove(self, set: set[Any], item: Any) -> tuple[set[Any], bool]:
             return result, False
 
 
+class SetSum(ComfyNodeABC):
+    """
+    Calculates the sum of all elements in a SET.
+
+    This node takes a SET as input and returns the sum of all its elements.
+    The optional start parameter specifies the initial value (default is 0).
+
+    Note: This operation requires all elements to be numeric or otherwise
+    compatible with addition. If the SET contains mixed or incompatible types,
+    it may raise an error.
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "set": ("SET", {}),
+            },
+            "optional": {
+                "start": ("INT", {"default": 0}),
+            }
+        }
+
+    RETURN_TYPES = ("INT", "FLOAT",)
+    RETURN_NAMES = ("sum_int", "sum_float",)
+    CATEGORY = "Basic/SET"
+    DESCRIPTION = cleandoc(__doc__ or "")
+    FUNCTION = "sum_set"
+
+    def sum_set(self, set: set[Any], start: int = 0) -> tuple[int, float]:
+        result = sum(set, start)
+        return result, float(result)
+
+
 class SetSymmetricDifference(ComfyNodeABC):
     """
     Returns the symmetric difference between two SETs.
@@ -604,9 +718,12 @@ def convert(self, set: set[Any]) -> tuple[list[Any]]:
     "Basic data handling: SetCreateFromInt": SetCreateFromInt,
     "Basic data handling: SetCreateFromString": SetCreateFromString,
     "Basic data handling: SetAdd": SetAdd,
+    "Basic data handling: SetAll": SetAll,
+    "Basic data handling: SetAny": SetAny,
     "Basic data handling: SetContains": SetContains,
     "Basic data handling: SetDifference": SetDifference,
     "Basic data handling: SetDiscard": SetDiscard,
+    "Basic data handling: SetEnumerate": SetEnumerate,
     "Basic data handling: SetIntersection": SetIntersection,
     "Basic data handling: SetIsDisjoint": SetIsDisjoint,
     "Basic data handling: SetIsSubset": SetIsSubset,
@@ -615,6 +732,7 @@ def convert(self, set: set[Any]) -> tuple[list[Any]]:
     "Basic data handling: SetPop": SetPop,
     "Basic data handling: SetPopRandom": SetPopRandom,
     "Basic data handling: SetRemove": SetRemove,
+    "Basic data handling: SetSum": SetSum,
     "Basic data handling: SetSymmetricDifference": SetSymmetricDifference,
     "Basic data handling: SetUnion": SetUnion,
     "Basic data handling: SetToDataList": SetToDataList,
@@ -628,9 +746,12 @@ def convert(self, set: set[Any]) -> tuple[list[Any]]:
     "Basic data handling: SetCreateFromInt": "create SET from INTs",
     "Basic data handling: SetCreateFromString": "create SET from STRINGs",
     "Basic data handling: SetAdd": "add",
+    "Basic data handling: SetAll": "all",
+    "Basic data handling: SetAny": "any",
     "Basic data handling: SetContains": "contains",
     "Basic data handling: SetDifference": "difference",
     "Basic data handling: SetDiscard": "discard",
+    "Basic data handling: SetEnumerate": "enumerate",
     "Basic data handling: SetIntersection": "intersection",
     "Basic data handling: SetIsDisjoint": "is disjoint",
     "Basic data handling: SetIsSubset": "is subset",
@@ -639,6 +760,7 @@ def convert(self, set: set[Any]) -> tuple[list[Any]]:
     "Basic data handling: SetPop": "pop",
     "Basic data handling: SetPopRandom": "pop random",
     "Basic data handling: SetRemove": "remove",
+    "Basic data handling: SetSum": "sum",
     "Basic data handling: SetSymmetricDifference": "symmetric difference",
     "Basic data handling: SetUnion": "union",
     "Basic data handling: SetToDataList": "convert to Data List",
diff --git a/tests/test_data_list_nodes.py b/tests/test_data_list_nodes.py
index ac0c5a5..6560716 100644
--- a/tests/test_data_list_nodes.py
+++ b/tests/test_data_list_nodes.py
@@ -1,34 +1,39 @@
 import pytest
 from src.basic_data_handling.data_list_nodes import (
+    DataListAll,
+    DataListAny,
     DataListAppend,
-    #DataListCreate,
-    #DataListCreateFromBoolean,
-    #DataListCreateFromFloat,
-    #DataListCreateFromInt,
-    #DataListCreateFromString,
+    DataListContains,
+    DataListCount,
+    DataListCreate,
+    DataListCreateFromBoolean,
+    DataListCreateFromFloat,
+    DataListCreateFromInt,
+    DataListCreateFromString,
+    DataListEnumerate,
     DataListExtend,
+    DataListFilter,
+    DataListFilterSelect,
+    DataListFirst,
+    DataListGetItem,
+    DataListIndex,
     DataListInsert,
-    DataListRemove,
+    DataListLast,
+    DataListLength,
+    DataListMax,
+    DataListMin,
     DataListPop,
     DataListPopRandom,
-    DataListIndex,
-    DataListCount,
-    DataListSort,
+    DataListRange,
+    DataListRemove,
     DataListReverse,
-    DataListLength,
-    DataListSlice,
-    DataListGetItem,
     DataListSetItem,
-    DataListContains,
+    DataListSlice,
+    DataListSort,
+    DataListSum,
+    DataListToList,
+    DataListToSet,
     DataListZip,
-    DataListFilter,
-    DataListFilterSelect,
-    DataListFirst,
-    DataListLast,
-    DataListMin,
-    DataListMax,
-    #DataListToList,
-    #DataListToSet,
 )
 
 
@@ -174,6 +179,66 @@ def test_filter_select():
     assert false_list == [1, 2, 3]
 
 
+def test_create():
+    node = DataListCreate()
+    # Testing with one item
+    assert node.create_list(item_0="test", _dynamic_number=1) == (["test"],)
+
+    # Testing with multiple items of different types
+    assert node.create_list(item_0=1, item_1="two", item_2=3.0, _dynamic_number=3) == ([1, "two", 3.0],)
+
+    # Testing with empty list (no items)
+    assert node.create_list(_dynamic_number=0) == ([],)
+
+
+def test_create_from_boolean():
+    node = DataListCreateFromBoolean()
+    # Testing with boolean values
+    assert node.create_list(item_0=True, item_1=False, _dynamic_number=2) == ([True, False],)
+
+    # Testing with boolean-convertible values
+    assert node.create_list(item_0=1, item_1=0, _dynamic_number=2) == ([True, False],)
+
+    # Testing with empty list
+    assert node.create_list(_dynamic_number=0) == ([],)
+
+
+def test_create_from_float():
+    node = DataListCreateFromFloat()
+    # Testing with float values
+    assert node.create_list(item_0=1.5, item_1=2.5, _dynamic_number=2) == ([1.5, 2.5],)
+
+    # Testing with float-convertible values
+    assert node.create_list(item_0=1, item_1="2.5", _dynamic_number=2) == ([1.0, 2.5],)
+
+    # Testing with empty list
+    assert node.create_list(_dynamic_number=0) == ([],)
+
+
+def test_create_from_int():
+    node = DataListCreateFromInt()
+    # Testing with integer values
+    assert node.create_list(item_0=1, item_1=2, _dynamic_number=2) == ([1, 2],)
+
+    # Testing with int-convertible values
+    assert node.create_list(item_0="1", item_1=2.0, _dynamic_number=2) == ([1, 2],)
+
+    # Testing with empty list
+    assert node.create_list(_dynamic_number=0) == ([],)
+
+
+def test_create_from_string():
+    node = DataListCreateFromString()
+    # Testing with string values
+    assert node.create_list(item_0="hello", item_1="world", _dynamic_number=2) == (["hello", "world"],)
+
+    # Testing with string-convertible values
+    assert node.create_list(item_0=123, item_1=True, _dynamic_number=2) == (["123", "True"],)
+
+    # Testing with empty list
+    assert node.create_list(_dynamic_number=0) == ([],)
+
+
 def test_pop_random():
     node = DataListPopRandom()
     result_list, item = node.pop_random_element(list=[1])
@@ -201,3 +266,105 @@ def test_last():
     assert node.get_last_element(list=["a", "b", "c"]) == ("c",)
     assert node.get_last_element(list=[]) == (None,)  # Empty list
 
+
+def test_to_list():
+    node = DataListToList()
+    # Test with regular list
+    assert node.convert(list=[1, 2, 3]) == ([1, 2, 3],)
+    # Test with empty list
+    assert node.convert(list=[]) == ([],)
+    # Test with mixed types
+    assert node.convert(list=[1, "two", 3.0]) == ([1, "two", 3.0],)
+
+
+def test_to_set():
+    node = DataListToSet()
+    # Test with regular list
+    assert node.convert(list=[1, 2, 3]) == ({1, 2, 3},)
+    # Test with empty list
+    assert node.convert(list=[]) == (set(),)
+    # Test with duplicates
+    assert node.convert(list=[1, 2, 1, 3, 2]) == ({1, 2, 3},)
+    # Test with mixed types (that can be in a set)
+    assert node.convert(list=[1, "two", 3.0]) == ({1, "two", 3.0},)
+
+
+def test_all():
+    node = DataListAll()
+    # All true values
+    assert node.check_all(list=[True, True, 1, "text"]) == (True,)
+    # Contains false value
+    assert node.check_all(list=[True, False, True]) == (False,)
+    # Empty list (returns True)
+    assert node.check_all(list=[]) == (True,)
+
+
+def test_any():
+    node = DataListAny()
+    # Contains true value
+    assert node.check_any(list=[False, True, False]) == (True,)
+    # All false values
+    assert node.check_any(list=[False, 0, "", None]) == (False,)
+    # Empty list (returns False)
+    assert node.check_any(list=[]) == (False,)
+
+
+def test_enumerate():
+    node = DataListEnumerate()
+    # Basic enumeration starting from 0
+    assert node.enumerate_list(list=['a', 'b', 'c']) == ([[0, 'a'], [1, 'b'], [2, 'c']],)
+    # Custom start index
+    assert node.enumerate_list(list=['x', 'y', 'z'], start=[10]) == ([[10, 'x'], [11, 'y'], [12, 'z']],)
+    # Empty list
+    assert node.enumerate_list(list=[]) == ([],)
+
+
+def test_sum():
+    node = DataListSum()
+    # Integer sum
+    int_sum, float_sum = node.sum_list(list=[1, 2, 3])
+    assert int_sum == 6
+    assert float_sum == 6.0
+
+    # Mixed number types
+    int_sum, float_sum = node.sum_list(list=[1, 2.5, 3])
+    assert int_sum == 6  # Integer part of the sum
+    assert float_sum == 6.5  # Full float sum
+
+    # With start value
+    int_sum, float_sum = node.sum_list(list=[1, 2, 3], start=[10])
+    assert int_sum == 16
+    assert float_sum == 16.0
+
+    # Empty list with start value
+    int_sum, float_sum = node.sum_list(list=[], start=[5])
+    assert int_sum == 5
+    assert float_sum == 5.0
+
+
+def test_range():
+    node = DataListRange()
+    # Test with default start (0) and step (1)
+    assert node.create_range(stop=5) == ([0, 1, 2, 3, 4],)
+
+    # Test with custom start and stop
+    assert node.create_range(start=2, stop=6) == ([2, 3, 4, 5],)
+
+    # Test with custom step
+    assert node.create_range(start=0, stop=10, step=2) == ([0, 2, 4, 6, 8],)
+
+    # Test with negative numbers
+    assert node.create_range(start=-3, stop=3) == ([-3, -2, -1, 0, 1, 2],)
+
+    # Test backward counting
+    assert node.create_range(start=5, stop=0, step=-1) == ([5, 4, 3, 2, 1],)
+
+    # Test empty range
+    assert node.create_range(start=0, stop=0) == ([],)
+
+    # Test when start > stop with positive step (returns empty list)
+    assert node.create_range(start=10, stop=5) == ([],)
+
+    # Test with ValueError (step cannot be zero)
+    with pytest.raises(ValueError, match="Step cannot be zero"):
+        node.create_range(start=0, stop=5, step=0)
diff --git a/tests/test_list_nodes.py b/tests/test_list_nodes.py
index 668fba8..1da2fbb 100644
--- a/tests/test_list_nodes.py
+++ b/tests/test_list_nodes.py
@@ -1,5 +1,7 @@
 import pytest
 from src.basic_data_handling.list_nodes import (
+    ListAll,
+    ListAny,
     ListAppend,
     ListContains,
     ListCount,
@@ -8,6 +10,7 @@
     ListCreateFromFloat,
     ListCreateFromInt,
     ListCreateFromString,
+    ListEnumerate,
     ListExtend,
     ListFirst,
     ListGetItem,
@@ -19,11 +22,13 @@
     ListMin,
     ListPop,
     ListPopRandom,
+    ListRange,
     ListRemove,
     ListReverse,
     ListSetItem,
     ListSlice,
     ListSort,
+    ListSum,
     ListToDataList,
     ListToSet,
 )
@@ -221,3 +226,121 @@ def test_list_to_set():
     assert node.convert([1, 2, 3, 2, 1]) == ({1, 2, 3},)
     assert node.convert([]) == (set(),)
     assert node.convert(["a", "b", "a", "c"]) == ({"a", "b", "c"},)
+
+
+def test_list_range():
+    node = ListRange()
+    # Basic range with default step=1
+    assert node.create_range(start=0, stop=5) == ([0, 1, 2, 3, 4],)
+
+    # Range with custom step
+    assert node.create_range(start=0, stop=10, step=2) == ([0, 2, 4, 6, 8],)
+
+    # Negative step (counting down)
+    assert node.create_range(start=5, stop=0, step=-1) == ([5, 4, 3, 2, 1],)
+
+    # Start > stop with positive step (empty list)
+    assert node.create_range(start=10, stop=5) == ([],)
+
+    # Empty range
+    assert node.create_range(start=0, stop=0) == ([],)
+
+    # Test with negative indices
+    assert node.create_range(start=-5, stop=0) == ([-5, -4, -3, -2, -1],)
+
+    # Test error case: step=0
+    with pytest.raises(ValueError, match="Step cannot be zero"):
+        node.create_range(start=0, stop=5, step=0)
+
+
+def test_list_all():
+    node = ListAll()
+    # All true values
+    assert node.check_all([True, True, True]) == (True,)
+
+    # Mixed values (all truthy)
+    assert node.check_all([1, "text", [1, 2]]) == (True,)
+
+    # Contains a false value
+    assert node.check_all([True, False, True]) == (False,)
+
+    # Contains a falsy value
+    assert node.check_all([True, 0, True]) == (False,)
+
+    # Empty list (returns True according to Python's all() behavior)
+    assert node.check_all([]) == (True,)
+
+
+def test_list_any():
+    node = ListAny()
+    # All true values
+    assert node.check_any([True, True, True]) == (True,)
+
+    # Mixed values with at least one true
+    assert node.check_any([False, True, False]) == (True,)
+
+    # Mixed values with at least one truthy
+    assert node.check_any([0, "", 1]) == (True,)
+
+    # All false values
+    assert node.check_any([False, False, False]) == (False,)
+
+    # All falsy values
+    assert node.check_any([0, "", []]) == (False,)
+
+    # Empty list (returns False according to Python's any() behavior)
+    assert node.check_any([]) == (False,)
+
+
+def test_list_enumerate():
+    node = ListEnumerate()
+
+    # Basic enumeration with default start=0
+    result = node.enumerate_list(["a", "b", "c"])
+    assert result == ([[(0, "a"), (1, "b"), (2, "c")]],)
+
+    # Enumeration with custom start
+    result = node.enumerate_list(["x", "y", "z"], start=10)
+    assert result == ([[(10, "x"), (11, "y"), (12, "z")]],)
+
+    # Enumeration of empty list
+    result = node.enumerate_list([])
+    assert result == ([[]],)
+
+    # Enumeration of list with mixed types
+    result = node.enumerate_list([1, "text", True])
+    assert result == ([[(0, 1), (1, "text"), (2, True)]],)
+
+
+def test_list_sum():
+    node = ListSum()
+
+    # Sum of integers
+    int_result, float_result = node.sum_list([1, 2, 3, 4])
+    assert int_result == 10
+    assert float_result == 10.0
+
+    # Sum with default start value (0)
+    int_result, float_result = node.sum_list([5, 10, 15])
+    assert int_result == 30
+    assert float_result == 30.0
+
+    # Sum with custom start value
+    int_result, float_result = node.sum_list([1, 2, 3], start=10)
+    assert int_result == 16
+    assert float_result == 16.0
+
+    # Sum of floats (should still return both int and float)
+    int_result, float_result = node.sum_list([1.5, 2.5, 3.0])
+    assert int_result == 7.0  # Note: This will be a float, but returned as first value
+    assert float_result == 7.0
+
+    # Sum of empty list
+    int_result, float_result = node.sum_list([])
+    assert int_result == 0
+    assert float_result == 0.0
+
+    # Sum of mixed numbers
+    int_result, float_result = node.sum_list([1, 2.5, 3])
+    assert int_result == 6.5
+    assert float_result == 6.5
diff --git a/tests/test_set_nodes.py b/tests/test_set_nodes.py
index 6ad37a1..dfb2276 100644
--- a/tests/test_set_nodes.py
+++ b/tests/test_set_nodes.py
@@ -1,6 +1,8 @@
 #import pytest
 from src.basic_data_handling.set_nodes import (
     SetAdd,
+    SetAll,
+    SetAny,
     SetContains,
     SetCreate,
     SetCreateFromBoolean,
@@ -9,6 +11,7 @@
     SetCreateFromString,
     SetDifference,
     SetDiscard,
+    SetEnumerate,
     SetIntersection,
     SetIsDisjoint,
     SetIsSubset,
@@ -17,6 +20,7 @@
     SetPop,
     SetPopRandom,
     SetRemove,
+    SetSum,
     SetSymmetricDifference,
     SetToDataList,
     SetToList,
@@ -246,3 +250,95 @@ def test_set_to_data_list():
     # Mixed types
     result = node.convert({1, "string", True})
     assert set(result[0]) == {1, "string", True}  # Can't check order, just content
+
+
+def test_set_all():
+    node = SetAll()
+
+    # Test with all truthy values
+    assert node.check_all({1, True, "string", 3.14}) == (True,)
+
+    # Test with one falsy value
+    assert node.check_all({1, False, "string"}) == (False,)
+
+    # Test with all falsy values
+    assert node.check_all({False, 0, "", None}) == (False,)
+
+    # Test with empty set (should return True per Python's all() behavior)
+    assert node.check_all(set()) == (True,)
+
+
+def test_set_any():
+    node = SetAny()
+
+    # Test with all truthy values
+    assert node.check_any({1, True, "string", 3.14}) == (True,)
+
+    # Test with one truthy value
+    assert node.check_any({0, False, "", 1}) == (True,)
+
+    # Test with all falsy values
+    assert node.check_any({False, 0, "", None}) == (False,)
+
+    # Test with empty set (should return False per Python's any() behavior)
+    assert node.check_any(set()) == (False,)
+
+
+def test_set_enumerate():
+    node = SetEnumerate()
+
+    # Basic test with default start=0
+    result = node.enumerate_set({10, 20, 30})
+    assert isinstance(result, tuple)
+    assert isinstance(result[0], list)
+
+    # Convert to set of tuples for comparison (order may vary)
+    result_set = {tuple(item) for item in result[0]}
+    assert result_set == {(0, 10), (1, 20), (2, 30)}
+
+    # Test with custom start value
+    result = node.enumerate_set({10, 20, 30}, start=5)
+    result_set = {tuple(item) for item in result[0]}
+    assert result_set == {(5, 10), (6, 20), (7, 30)}
+
+    # Test with empty set
+    result = node.enumerate_set(set())
+    assert result[0] == []
+
+    # Test with mixed types
+    result = node.enumerate_set({1, "string", False})
+    assert len(result[0]) == 3
+    # Check format but not exact values due to arbitrary order
+    for item in result[0]:
+        assert isinstance(item, tuple)
+        assert len(item) == 2
+        assert isinstance(item[0], int)
+
+
+def test_set_sum():
+    node = SetSum()
+
+    # Test with integer set
+    int_result, float_result = node.sum_set({1, 2, 3})
+    assert int_result == 6
+    assert float_result == 6.0
+
+    # Test with float set
+    int_result, float_result = node.sum_set({1.5, 2.5, 3.0})
+    assert int_result == 7.0
+    assert float_result == 7.0
+
+    # Test with mixed numeric types
+    int_result, float_result = node.sum_set({1, 2.5, 3})
+    assert int_result == 6.5
+    assert float_result == 6.5
+
+    # Test with custom start value
+    int_result, float_result = node.sum_set({1, 2, 3}, start=10)
+    assert int_result == 16
+    assert float_result == 16.0
+
+    # Test with empty set
+    int_result, float_result = node.sum_set(set(), start=5)
+    assert int_result == 5
+    assert float_result == 5.0