Merge branch 'branch-23.12' into feat/nightly_versions

python/cuml/model_selection/_split.py

@@ -13,12 +13,15 @@
 # limitations under the License.
 #
 
-from typing import Union
-from cuml.internals.safe_imports import gpu_only_import_from
+from typing import Optional, Union
+
 from cuml.common import input_to_cuml_array
 from cuml.internals.array import array_to_memory_order
-from cuml.internals.safe_imports import cpu_only_import
-from cuml.internals.safe_imports import gpu_only_import
+from cuml.internals.safe_imports import (
+    cpu_only_import,
+    gpu_only_import,
+    gpu_only_import_from,
+)
 
 cudf = gpu_only_import("cudf")
 cp = gpu_only_import("cupy")
@@ -138,7 +141,6 @@ def _stratify_split(
         if hasattr(X, "__cuda_array_interface__") or isinstance(
             X, cupyx.scipy.sparse.csr_matrix
         ):
-
             X_train_i = cp.array(
                 X[perm_indices_class_i[: n_i[i]]], order=x_order
             )
@@ -244,11 +246,11 @@ def _approximate_mode(class_counts, n_draws, rng):
 def train_test_split(
     X,
     y=None,
-    test_size: Union[float, int] = None,
-    train_size: Union[float, int] = None,
+    test_size: Optional[Union[float, int]] = None,
+    train_size: Optional[Union[float, int]] = None,
     shuffle: bool = True,
-    random_state: Union[
-        int, cp.random.RandomState, np.random.RandomState
+    random_state: Optional[
+        Union[int, cp.random.RandomState, np.random.RandomState]
     ] = None,
     stratify=None,
 ):