[CI] Workaround mypy errors. (#10754)

python-package/xgboost/dask/__init__.py

@@ -1634,7 +1634,7 @@ class DaskScikitLearnBase(XGBModel):
             if isinstance(predts, dd.DataFrame):
                 predts = predts.to_dask_array()
         else:
-            test_dmatrix = await DaskDMatrix(
+            test_dmatrix: DaskDMatrix = await DaskDMatrix(  # type: ignore
                 self.client,
                 data=data,
                 base_margin=base_margin,
@@ -1675,7 +1675,7 @@ class DaskScikitLearnBase(XGBModel):
         iteration_range: Optional[IterationRange] = None,
     ) -> Any:
         iteration_range = self._get_iteration_range(iteration_range)
-        test_dmatrix = await DaskDMatrix(
+        test_dmatrix: DaskDMatrix = await DaskDMatrix(  # type: ignore
             self.client,
             data=X,
             missing=self.missing,

tests/ci_build/conda_env/python_lint.yml

@@ -6,8 +6,7 @@ dependencies:
 - pylint
 - wheel
 - setuptools
-# https://github.com/python/mypy/issues/17617
+- mypy
-- mypy !=1.11.0,!=1.11.1
 - numpy
 - scipy
 - pandas

tests/test_distributed/test_gpu_with_dask/test_gpu_with_dask.py

@@ -647,10 +647,10 @@ async def run_from_dask_array_asyncio(scheduler_address: str) -> dxgb.TrainRetur
         import cupy as cp
 
         X, y, _ = generate_array()
-        X = X.map_blocks(cp.array)  # type: ignore
+        X = X.to_backend("cupy")
-        y = y.map_blocks(cp.array)  # type: ignore
+        y = y.to_backend("cupy")
 
-        m = await xgb.dask.DaskQuantileDMatrix(client, X, y)
+        m: xgb.dask.DaskDMatrix = await xgb.dask.DaskQuantileDMatrix(client, X, y)  # type: ignore
         output = await xgb.dask.train(
             client, {"tree_method": "hist", "device": "cuda"}, dtrain=m
         )