Adapt cudf numba config for numba 0.61 removal (rapidsai#17705)

closes rapidsai#17703

Authors:
  - Matthew Roeschke (https://github.com/mroeschke)

Approvers:
  - Tom Augspurger (https://github.com/TomAugspurger)
  - Bradley Dice (https://github.com/bdice)

URL: rapidsai#17705

python/cudf/cudf/utils/_numba.py

@@ -1,11 +1,14 @@
 # Copyright (c) 2023-2025, NVIDIA CORPORATION.
+from __future__ import annotations
 
 import glob
 import os
 import sys
 from functools import lru_cache
 
+import numba
 from numba import config as numba_config
+from packaging import version
 
 
 # Use an lru_cache with a single value to allow a delayed import of
@@ -133,18 +136,25 @@ def _setup_numba():
                 numba_config.CUDA_ENABLE_PYNVJITLINK = True
 
 
+# Avoids using contextlib.contextmanager due to additional overhead
 class _CUDFNumbaConfig:
-    def __enter__(self):
+    def __enter__(self) -> None:
         self.CUDA_LOW_OCCUPANCY_WARNINGS = (
             numba_config.CUDA_LOW_OCCUPANCY_WARNINGS
         )
         numba_config.CUDA_LOW_OCCUPANCY_WARNINGS = 0
 
-        self.CAPTURED_ERRORS = numba_config.CAPTURED_ERRORS
-        numba_config.CAPTURED_ERRORS = "new_style"
+        self.is_numba_lt_061 = version.parse(
+            numba.__version__
+        ) < version.parse("0.61")
 
-    def __exit__(self, exc_type, exc_value, traceback):
+        if self.is_numba_lt_061:
+            self.CAPTURED_ERRORS = numba_config.CAPTURED_ERRORS
+            numba_config.CAPTURED_ERRORS = "new_style"
+
+    def __exit__(self, exc_type, exc_value, traceback) -> None:
         numba_config.CUDA_LOW_OCCUPANCY_WARNINGS = (
             self.CUDA_LOW_OCCUPANCY_WARNINGS
         )
-        numba_config.CAPTURED_ERRORS = self.CAPTURED_ERRORS
+        if self.is_numba_lt_061:
+            numba_config.CAPTURED_ERRORS = self.CAPTURED_ERRORS