Update broadcast_arrays to return a tuple instead of a list

CHANGELOG.md

@@ -22,6 +22,7 @@ This release is compatible with NumPy 2.4.5.
 * Replaced `.pxi` includes in `dpnp.tensor` with modular `.pxd`/`.pyx` Cython imports [#2913](https://github.com/IntelPython/dpnp/pull/2913)
 * Reimplemented `dpnp.eye` and `dpnp.tensor.eye` with a branchless kernel [gh-2937](https://github.com/IntelPython/dpnp/pull/2937)
 * Cleaned up Python bindings for indexing functions, renaming `usm_ndarray_take` and `usm_ndarray_put` to `py_take` and `py_put` and refactoring validation [gh-2935](https://github.com/IntelPython/dpnp/pull/2935)
+* Changed `dpnp.broadcast_arrays` and `dpnp.tensor.broadcast_arrays` to return a tuple instead of a list, aligning with NumPy 2.x behavior and 2025.12 version of the Python array API standard [#2944](https://github.com/IntelPython/dpnp/pull/2944)
 
 ### Deprecated
 

dpnp/dpnp_iface_manipulation.py

@@ -1060,8 +1060,8 @@ def broadcast_arrays(*args, subok=False):
 
     Returns
     -------
-    out : list of dpnp.ndarray
-        A list of arrays which are views on the original arrays from `args`.
+    out : tuple of dpnp.ndarray
+        A tuple of arrays which are views on the original arrays from `args`.
 
     Limitations
     -----------
@@ -1078,20 +1078,20 @@ def broadcast_arrays(*args, subok=False):
     >>> x = np.array([[1, 2, 3]])
     >>> y = np.array([[4], [5]])
     >>> np.broadcast_arrays(x, y)
-    [array([[1, 2, 3],
+    (array([[1, 2, 3],
             [1, 2, 3]]), array([[4, 4, 4],
-            [5, 5, 5]])]
+            [5, 5, 5]]))
 
     """
 
     if subok is not False:
         raise NotImplementedError(f"subok={subok} is currently not supported")
 
     if len(args) == 0:
-        return []
+        return ()
 
     usm_arrays = dpt.broadcast_arrays(*[dpnp.get_usm_ndarray(a) for a in args])
-    return [dpnp_array._create_from_usm_ndarray(a) for a in usm_arrays]
+    return tuple(dpnp_array._create_from_usm_ndarray(a) for a in usm_arrays)
 
 
 def broadcast_shapes(*args):

dpnp/tensor/_manipulation_functions.py

@@ -228,8 +228,8 @@ def broadcast_arrays(*args):
             broadcasted.
 
     Returns:
-        List[usm_ndarray]:
-            A list of broadcasted arrays. Each array
+        tuple[usm_ndarray, ...]:
+            A tuple of broadcasted arrays. Each array
             must have the same shape. Each array must have the same `dtype`,
             `device` and `usm_type` attributes as its corresponding input
             array.
@@ -245,7 +245,7 @@ def broadcast_arrays(*args):
     if all(X.shape == shape for X in args):
         return args
 
-    return [broadcast_to(X, shape) for X in args]
+    return tuple(broadcast_to(X, shape) for X in args)
 
 
 def broadcast_to(X, /, shape):

dpnp/tests/test_arraymanipulation.py

@@ -289,7 +289,7 @@ def test_incompatible_shapes_raise_valueerror(self, shapes):
             self.assert_broadcast_arrays_raise(input_shapes[::-1])
 
     def test_broadcast_arrays_empty_input(self):
-        assert dpnp.broadcast_arrays() == []
+        assert dpnp.broadcast_arrays() == ()
 
     def test_subok_error(self):
         x = dpnp.ones(4)