Specify src path for isort. (#8867)

python-package/xgboost/spark/core.py

@@ -34,12 +34,12 @@ from pyspark.sql.types import (
     ShortType,
 )
 from scipy.special import expit, softmax  # pylint: disable=no-name-in-module
-from xgboost.compat import is_cudf_available
-from xgboost.core import Booster
-from xgboost.training import train as worker_train
 
 import xgboost
 from xgboost import XGBClassifier, XGBRanker, XGBRegressor
+from xgboost.compat import is_cudf_available
+from xgboost.core import Booster
+from xgboost.training import train as worker_train
 
 from .data import (
     _read_csr_matrix_from_unwrapped_spark_vec,

python-package/xgboost/spark/data.py

@@ -6,9 +6,9 @@ from typing import Any, Callable, Dict, Iterator, List, Optional, Sequence, Tupl
 import numpy as np
 import pandas as pd
 from scipy.sparse import csr_matrix
-from xgboost.compat import concat
 
 from xgboost import DataIter, DMatrix, QuantileDMatrix, XGBModel
+from xgboost.compat import concat
 
 from .._typing import ArrayLike
 from ..core import _convert_ntree_limit

python-package/xgboost/spark/model.py

@@ -8,6 +8,7 @@ import uuid
 from pyspark import SparkFiles, cloudpickle
 from pyspark.ml.util import DefaultParamsReader, DefaultParamsWriter, MLReader, MLWriter
 from pyspark.sql import SparkSession
+
 from xgboost.core import Booster
 
 from .utils import get_class_name, get_logger

python-package/xgboost/spark/utils.py

@@ -8,9 +8,9 @@ from typing import Any, Callable, Dict, Set, Type
 import pyspark
 from pyspark import BarrierTaskContext, SparkContext
 from pyspark.sql.session import SparkSession
-from xgboost.tracker import RabitTracker
 
 from xgboost import collective
+from xgboost.tracker import RabitTracker
 
 
 def get_class_name(cls: Type) -> str:

python-package/xgboost/testing/__init__.py

@@ -33,10 +33,10 @@ from urllib import request
 import numpy as np
 import pytest
 from scipy import sparse
-from xgboost.core import ArrayLike
-from xgboost.sklearn import SklObjective
 
 import xgboost as xgb
+from xgboost.core import ArrayLike
+from xgboost.sklearn import SklObjective
 
 hypothesis = pytest.importorskip("hypothesis")
 

python-package/xgboost/testing/dask.py

@@ -2,9 +2,9 @@
 import numpy as np
 from dask import array as da
 from distributed import Client
-from xgboost.testing.updater import get_basescore
 
 import xgboost as xgb
+from xgboost.testing.updater import get_basescore
 
 
 def check_init_estimation_clf(tree_method: str, client: Client) -> None:

python-package/xgboost/testing/data.py

@@ -2,6 +2,7 @@
 from typing import Any, Generator, Tuple, Union
 
 import numpy as np
+
 from xgboost.data import pandas_pyarrow_mapper
 
 

python-package/xgboost/testing/shared.py

@@ -8,9 +8,9 @@ import tempfile
 from typing import Any, Callable, Dict, Type
 
 import numpy as np
-from xgboost._typing import ArrayLike
 
 import xgboost as xgb
+from xgboost._typing import ArrayLike
 
 
 def validate_leaf_output(leaf: np.ndarray, num_parallel_tree: int) -> None:

python-package/xgboost/testing/updater.py

@@ -4,9 +4,9 @@ from functools import partial, update_wrapper
 from typing import Dict
 
 import numpy as np
-import xgboost.testing as tm
 
 import xgboost as xgb
+import xgboost.testing as tm
 
 
 def get_basescore(model: xgb.XGBModel) -> float:
@@ -78,6 +78,7 @@ def check_quantile_loss(tree_method: str, weighted: bool) -> None:
     """Test for quantile loss."""
     from sklearn.datasets import make_regression
     from sklearn.metrics import mean_pinball_loss
+
     from xgboost.sklearn import _metric_decorator
 
     n_samples = 4096