Specify src path for isort. (#8867)

tests/python/test_data_iterator.py

@@ -4,11 +4,11 @@ import numpy as np
 import pytest
 from hypothesis import given, settings, strategies
 from scipy.sparse import csr_matrix
-from xgboost.data import SingleBatchInternalIter as SingleBatch
-from xgboost.testing import IteratorForTest, make_batches, non_increasing
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.data import SingleBatchInternalIter as SingleBatch
+from xgboost.testing import IteratorForTest, make_batches, non_increasing
 
 pytestmark = tm.timeout(30)
 

tests/python/test_dmatrix.py

@@ -6,10 +6,10 @@ import pytest
 import scipy.sparse
 from hypothesis import given, settings, strategies
 from scipy.sparse import csr_matrix, rand
-from xgboost.testing.data import np_dtypes
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.data import np_dtypes
 
 rng = np.random.RandomState(1)
 

tests/python/test_early_stopping.py

@@ -1,9 +1,9 @@
 import numpy as np
 import pytest
-from xgboost.testing.updater import get_basescore
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.updater import get_basescore
 
 rng = np.random.RandomState(1994)
 

tests/python/test_eval_metrics.py

@@ -1,9 +1,9 @@
 import numpy as np
 import pytest
-from xgboost.testing.metrics import check_quantile_error
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.metrics import check_quantile_error
 
 rng = np.random.RandomState(1337)
 

tests/python/test_predict.py

@@ -5,11 +5,11 @@ import numpy as np
 import pandas as pd
 import pytest
 from scipy import sparse
-from xgboost.testing.data import np_dtypes, pd_dtypes
-from xgboost.testing.shared import validate_leaf_output
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.data import np_dtypes, pd_dtypes
+from xgboost.testing.shared import validate_leaf_output
 
 
 def run_threaded_predict(X, rows, predict_func):

tests/python/test_quantile_dmatrix.py

@@ -4,6 +4,8 @@ import numpy as np
 import pytest
 from hypothesis import given, settings, strategies
 from scipy import sparse
+
+import xgboost as xgb
 from xgboost.testing import (
     IteratorForTest,
     make_batches,
@@ -15,8 +17,6 @@ from xgboost.testing import (
 )
 from xgboost.testing.data import np_dtypes
 
-import xgboost as xgb
-
 
 class TestQuantileDMatrix:
     def test_basic(self) -> None:

tests/python/test_updaters.py

@@ -5,6 +5,9 @@ from typing import Any, Dict, List
 import numpy as np
 import pytest
 from hypothesis import given, note, settings, strategies
+
+import xgboost as xgb
+from xgboost import testing as tm
 from xgboost.testing.params import (
     cat_parameter_strategy,
     exact_parameter_strategy,
@@ -12,9 +15,6 @@ from xgboost.testing.params import (
 )
 from xgboost.testing.updater import check_init_estimation, check_quantile_loss
 
-import xgboost as xgb
-from xgboost import testing as tm
-
 
 def train_result(param, dmat, num_rounds):
     result = {}

tests/python/test_with_pandas.py

@@ -3,10 +3,10 @@ from typing import Type
 import numpy as np
 import pytest
 from test_dmatrix import set_base_margin_info
-from xgboost.testing.data import pd_arrow_dtypes, pd_dtypes
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.data import pd_arrow_dtypes, pd_dtypes
 
 try:
     import pandas as pd

tests/python/test_with_sklearn.py

@@ -8,11 +8,11 @@ from typing import Callable, Optional
 import numpy as np
 import pytest
 from sklearn.utils.estimator_checks import parametrize_with_checks
-from xgboost.testing.shared import get_feature_weights, validate_data_initialization
-from xgboost.testing.updater import get_basescore
 
 import xgboost as xgb
 from xgboost import testing as tm
+from xgboost.testing.shared import get_feature_weights, validate_data_initialization
+from xgboost.testing.updater import get_basescore
 
 rng = np.random.RandomState(1994)
 pytestmark = [pytest.mark.skipif(**tm.no_sklearn()), tm.timeout(30)]