Specify src path for isort. (#8867)

tests/test_distributed/test_federated/test_federated.py

@@ -3,9 +3,8 @@ import multiprocessing
 import sys
 import time
 
-import xgboost.federated
-
 import xgboost as xgb
+import xgboost.federated
 
 SERVER_KEY = 'server-key.pem'
 SERVER_CERT = 'server-cert.pem'

tests/test_distributed/test_gpu_with_dask/test_gpu_with_dask.py

@@ -10,10 +10,10 @@ import numpy as np
 import pytest
 from hypothesis import given, note, settings, strategies
 from hypothesis._settings import duration
-from xgboost.testing.params import hist_parameter_strategy
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.params import hist_parameter_strategy
 
 pytestmark = [
     pytest.mark.skipif(**tm.no_dask()),
@@ -42,9 +42,9 @@ try:
     from dask import array as da
     from dask.distributed import Client
     from dask_cuda import LocalCUDACluster
-    from xgboost.testing.dask import check_init_estimation
 
     from xgboost import dask as dxgb
+    from xgboost.testing.dask import check_init_estimation
 except ImportError:
     pass
 

tests/test_distributed/test_gpu_with_spark/test_gpu_spark.py

@@ -12,6 +12,7 @@ pytestmark = pytest.mark.skipif(**tm.no_spark())
 from pyspark.ml.linalg import Vectors
 from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
 from pyspark.sql import SparkSession
+
 from xgboost.spark import SparkXGBClassifier, SparkXGBRegressor
 
 gpu_discovery_script_path = "tests/test_distributed/test_gpu_with_spark/discover_gpu.sh"

tests/test_distributed/test_with_dask/test_with_dask.py

@@ -21,6 +21,9 @@ import scipy
 import sklearn
 from hypothesis import HealthCheck, given, note, settings
 from sklearn.datasets import make_classification, make_regression
+
+import xgboost as xgb
+from xgboost import testing as tm
 from xgboost.data import _is_cudf_df
 from xgboost.testing.params import hist_parameter_strategy
 from xgboost.testing.shared import (
@@ -29,9 +32,6 @@ from xgboost.testing.shared import (
     validate_leaf_output,
 )
 
-import xgboost as xgb
-from xgboost import testing as tm
-
 pytestmark = [tm.timeout(60), pytest.mark.skipif(**tm.no_dask())]
 
 import dask
@@ -39,6 +39,7 @@ import dask.array as da
 import dask.dataframe as dd
 from distributed import Client, LocalCluster
 from toolz import sliding_window  # dependency of dask
+
 from xgboost.dask import DaskDMatrix
 from xgboost.testing.dask import check_init_estimation
 

tests/test_distributed/test_with_spark/test_data.py

@@ -8,6 +8,7 @@ from xgboost import testing as tm
 
 pytestmark = [pytest.mark.skipif(**tm.no_spark())]
 
+from xgboost import DMatrix, QuantileDMatrix
 from xgboost.spark.data import (
     _read_csr_matrix_from_unwrapped_spark_vec,
     alias,
@@ -15,8 +16,6 @@ from xgboost.spark.data import (
     stack_series,
 )
 
-from xgboost import DMatrix, QuantileDMatrix
-
 
 def test_stack() -> None:
     a = pd.DataFrame({"a": [[1, 2], [3, 4]]})

tests/test_distributed/test_with_spark/test_spark_local.py

@@ -8,10 +8,10 @@ from typing import Generator, Sequence, Type
 
 import numpy as np
 import pytest
-from xgboost.spark.data import pred_contribs
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.spark.data import pred_contribs
 
 pytestmark = [tm.timeout(60), pytest.mark.skipif(**tm.no_spark())]
 
@@ -23,6 +23,8 @@ from pyspark.ml.linalg import Vectors
 from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
 from pyspark.sql import SparkSession
 from pyspark.sql import functions as spark_sql_func
+
+from xgboost import XGBClassifier, XGBModel, XGBRegressor
 from xgboost.spark import (
     SparkXGBClassifier,
     SparkXGBClassifierModel,
@@ -32,8 +34,6 @@ from xgboost.spark import (
 )
 from xgboost.spark.core import _non_booster_params
 
-from xgboost import XGBClassifier, XGBModel, XGBRegressor
-
 from .utils import SparkTestCase
 
 logging.getLogger("py4j").setLevel(logging.INFO)

tests/test_distributed/test_with_spark/test_spark_local_cluster.py

@@ -11,6 +11,7 @@ from xgboost import testing as tm
 pytestmark = pytest.mark.skipif(**tm.no_spark())
 
 from pyspark.ml.linalg import Vectors
+
 from xgboost.spark import SparkXGBClassifier, SparkXGBRegressor
 from xgboost.spark.utils import _get_max_num_concurrent_tasks
 

tests/test_distributed/test_with_spark/utils.py

@@ -13,6 +13,7 @@ from xgboost import testing as tm
 pytestmark = [pytest.mark.skipif(**tm.no_spark())]
 
 from pyspark.sql import SparkSession
+
 from xgboost.spark.utils import _get_default_params_from_func