TEMP: add path for using nanops_numba in masked array reductions

Author: eoincondron

pandas/core/array_algos/masked_reductions.py

@@ -12,7 +12,7 @@
 
 from pandas._libs import missing as libmissing
 
-from pandas.core.nanops import check_below_min_count
+from pandas.core.nanops import check_below_min_count, _USE_NUMBA, nanops_numba
 
 if TYPE_CHECKING:
     from collections.abc import Callable
@@ -51,6 +51,13 @@ def _reductions(
         ``min_count`` non-NA values are present the result will be NA.
     axis : int, optional, default None
     """
+    if _USE_NUMBA:
+        func = getattr(nanops_numba, f"nan{func.__name__}", None)
+        if func is not None:
+            return func(
+                values, mask=mask, skipna=skipna, min_count=min_count, axis=axis
+            )
+
     if not skipna:
         if mask.any() or check_below_min_count(values.shape, None, min_count):
             return libmissing.NA