MAINT: Small NumPy 2 related fixes

This applys some smaller NumPy 2 related fixes.  With (in progress)
cupy 13.2 fixups, the single gpu test suite seems to be doing fine
(not quite finished, I may push more commits, but can also open a new PR).

The one thinig I noticed that is a bit anonying is that hdbscan is not
yet released for NumPy 2, is that actually still required since I think
sklearn has a version?
(I don't expect this to be a problem for long, but there is at least one odd test
failure trying to make hdbscan work in scikit-learn-contrib/hdbscan#644)

python/cuml/cuml/_thirdparty/sklearn/utils/sparsefuncs.py

@@ -214,7 +214,7 @@ def _sparse_min_or_max(X, axis, min_or_max):
         if np.isnan(m):
             if 'nan' in min_or_max:
                 m = 0
-        elif X.nnz != cpu_np.product(X.shape):
+        elif X.nnz != cpu_np.prod(X.shape):
             if 'min' in min_or_max:
                 m = m if m <= 0 else 0
             else:

python/cuml/cuml/internals/array.py

@@ -1168,6 +1168,9 @@ def from_input(
             )
 
         make_copy = force_contiguous and not arr.is_contiguous
+        if not make_copy:
+           # NumPy now interprets False as never copy, so must use None
+           make_copy = None
 
         if (
             not fail_on_order and order != arr.order and order != "K"