Merge pull request #23 from StableLlama/fix_random

Version 0.4.6 - fix pop random to make them always recalculate

Author: StableLlama

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "basic_data_handling"
-version = "0.4.5"
+version = "0.4.6"
 description = """Basic Python functions for manipulating data that every programmer is used to, lightweight with no additional dependencies.
 
 Supported data types:

src/basic_data_handling/data_list_nodes.py

@@ -747,6 +747,10 @@ def INPUT_TYPES(cls):
     INPUT_IS_LIST = True
     OUTPUT_IS_LIST = (True, False)
 
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")  # Not equal to anything -> trigger recalculation
+
     def pop_random_element(self, **kwargs: list[Any]) -> tuple[list[Any], Any]:
         from random import randrange
         input_list = kwargs.get('list', []).copy()

src/basic_data_handling/dict_nodes.py

@@ -736,6 +736,10 @@ def INPUT_TYPES(cls):
     DESCRIPTION = cleandoc(__doc__ or "")
     FUNCTION = "pop_random"
 
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")  # Not equal to anything -> trigger recalculation
+
     def pop_random(self, input_dict: dict) -> tuple[dict, str, Any, bool]:
         import random
         result = input_dict.copy()

src/basic_data_handling/list_nodes.py

@@ -610,6 +610,10 @@ def INPUT_TYPES(cls):
     DESCRIPTION = cleandoc(__doc__ or "")
     FUNCTION = "pop_random_element"
 
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")  # Not equal to anything -> trigger recalculation
+
     def pop_random_element(self, list: list[Any]) -> tuple[list[Any], Any]:
         import random
         result = list.copy()

src/basic_data_handling/set_nodes.py

@@ -520,6 +520,10 @@ def INPUT_TYPES(cls):
     DESCRIPTION = cleandoc(__doc__ or "")
     FUNCTION = "pop_random_element"
 
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return float("NaN")  # Not equal to anything -> trigger recalculation
+
     def pop_random_element(self, set: set[Any]) -> tuple[set[Any], Any]:
         import random
         result = set.copy()