Merge branch 'branch-25.08' into branch-25.10-merge-branch-25.08

Author: davidwendt

python/cudf/cudf/tests/test_groupby.py

@@ -524,10 +524,33 @@ def func(df):
     reason="Include groups missing on old versions of pandas",
 )
 def test_groupby_apply_jit_unary_reductions(
-    func, dtype, dataset, groupby_jit_datasets
+    request, func, dtype, dataset, groupby_jit_datasets
 ):
-    dataset = groupby_jit_datasets[dataset]
-    groupby_apply_jit_reductions_test_inner(func, dataset, dtype)
+    request.applymarker(
+        pytest.mark.xfail(
+            condition=(
+                (
+                    dataset == "nans"
+                    and func in {"var", "std", "mean"}
+                    and str(dtype) in {"int64", "float32", "float64"}
+                )
+                or (
+                    dataset == "nans"
+                    and func in {"idxmax", "idxmin", "sum"}
+                    and dtype.kind == "f"
+                )
+            ),
+            reason=("https://github.com/rapidsai/cudf/issues/14860"),
+        )
+    )
+    warn_condition = (
+        dataset == "nans"
+        and func in {"idxmax", "idxmin"}
+        and dtype.kind == "f"
+    )
+    dataset = groupby_jit_datasets[dataset].copy(deep=True)
+    with expect_warning_if(warn_condition, FutureWarning):
+        groupby_apply_jit_reductions_test_inner(func, dataset, dtype)
 
 
 # test unary reductions for special values
@@ -589,7 +612,7 @@ def func(df):
 def test_groupby_apply_jit_reductions_special_vals(
     func, dtype, dataset, groupby_jit_datasets, special_val
 ):
-    dataset = groupby_jit_datasets[dataset]
+    dataset = groupby_jit_datasets[dataset].copy(deep=True)
     with expect_warning_if(
         func in {"var", "std"} and not np.isnan(special_val), RuntimeWarning
     ):
@@ -621,7 +644,7 @@ def test_groupby_apply_jit_reductions_special_vals(
 def test_groupby_apply_jit_idx_reductions_special_vals(
     func, dtype, dataset, groupby_jit_datasets, special_val
 ):
-    dataset = groupby_jit_datasets[dataset]
+    dataset = groupby_jit_datasets[dataset].copy(deep=True)
     groupby_apply_jit_idx_reductions_special_vals_inner(
         func, dataset, dtype, special_val
     )
@@ -671,7 +694,7 @@ def func(group):
     reason="Fails in older versions of pandas",
 )
 def test_groupby_apply_jit_correlation(dataset, groupby_jit_datasets, dtype):
-    dataset = groupby_jit_datasets[dataset]
+    dataset = groupby_jit_datasets[dataset].copy(deep=True)
 
     dataset["val1"] = dataset["val1"].astype(dtype)
     dataset["val2"] = dataset["val2"].astype(dtype)