Allow op.select to accept tuples

keras/src/legacy/preprocessing/text.py

@@ -79,7 +79,7 @@ def hash_function(w):
 
 
 @keras_export("keras._legacy.preprocessing.text.Tokenizer")
-class Tokenizer(object):
+class Tokenizer:
     """DEPRECATED."""
 
     def __init__(

keras/src/ops/numpy.py

@@ -6125,12 +6125,16 @@ def select(condlist, choicelist, default=0):
     # Returns: tensor([0,  1,  2, 42, 16, 25])
     ```
     """
-    if not isinstance(condlist, list) or not isinstance(choicelist, list):
+    if not isinstance(condlist, (list, tuple)) or not isinstance(
+        choicelist, (list, tuple)
+    ):
         raise ValueError(
             "condlist and choicelist must be lists. Received: "
             f"type(condlist) = {type(condlist)}, "
             f"type(choicelist) = {type(choicelist)}"
         )
+    condlist = list(condlist)
+    choicelist = list(choicelist)
     if not condlist or not choicelist:
         raise ValueError(
             "condlist and choicelist must not be empty. Received: "

keras/src/ops/numpy_test.py

@@ -4265,6 +4265,13 @@ def test_select(self):
         y = knp.select(condlist, choicelist, 42)
         self.assertAllClose(y, [0, 1, 2, 42, 16, 25])
 
+        # Test with tuples
+        condlist = (x < 3, x > 3)
+        choicelist = (x, x**2)
+        y = knp.select(condlist, choicelist, 42)
+        self.assertAllClose(y, [0, 1, 2, 42, 16, 25])
+
+        # Test with symbolic tensors
         x = backend.KerasTensor((6,))
         condlist = [x < 3, x > 3]
         choicelist = [x, x**2]

keras/src/trainers/data_adapters/data_adapter.py

@@ -1,4 +1,4 @@
-class DataAdapter(object):
+class DataAdapter:
     """Base class for input data adapters.
 
     The purpose of a DataAdapter is to provide a unfied interface to