[pre-commit.ci] auto fixes from pre-commit.com hooks

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scripts/plotext_dataset.py

@@ -3,6 +3,7 @@
 sys.path.append("..")
 
 import plotext as plt
+
 from coniferest.datasets import Label, MalanchevDataset
 
 dataset = MalanchevDataset(inliers=100, outliers=10, regions=(Label.R, Label.R, Label.A))

scripts/plotext_pineforest.py

@@ -4,6 +4,7 @@
 
 import numpy as np
 import plotext as plt
+
 from coniferest.datasets import Label, MalanchevDataset
 from coniferest.pineforest import PineForest
 

tests/test_aadforest.py

@@ -1,5 +1,6 @@
 import numpy as np
 import pytest
+
 from coniferest.aadforest import AADForest
 from coniferest.datasets import single_outlier
 from coniferest.label import Label

tests/test_coniferest.py

@@ -2,10 +2,11 @@
 
 import numpy as np
 import pytest
-from coniferest.coniferest import Coniferest
 from numpy.testing import assert_equal
 from sklearn.tree._tree import Tree
 
+from coniferest.coniferest import Coniferest
+
 
 class ConiferestImpl(Coniferest):
     def fit(self, data, labels=None):

tests/test_datasets.py

@@ -1,7 +1,8 @@
 import numpy as np
-from coniferest.datasets import dev_net_dataset, plasticc_gp, ztf_m31
 from numpy.testing import assert_allclose, assert_array_equal
 
+from coniferest.datasets import dev_net_dataset, plasticc_gp, ztf_m31
+
 
 def test_ztf_m31():
     data, metadata = ztf_m31()

tests/test_isoforest.py

@@ -1,10 +1,11 @@
 import numpy as np
 import pytest
+from numpy.testing import assert_allclose, assert_equal
+from sklearn.ensemble import IsolationForest as SkIsolationForest
+
 from coniferest.datasets import MalanchevDataset
 from coniferest.isoforest import IsolationForest
 from coniferest.sklearn.isoforest import IsolationForestEvaluator
-from numpy.testing import assert_allclose, assert_equal
-from sklearn.ensemble import IsolationForest as SkIsolationForest
 
 
 @pytest.fixture()

tests/test_onnx.py

@@ -1,6 +1,7 @@
 import numpy as np
 import onnx
 import onnxruntime as rt
+
 from coniferest.aadforest import AADForest
 from coniferest.datasets import single_outlier
 from coniferest.onnx import to_onnx

tests/test_session.py

@@ -1,5 +1,6 @@
 import numpy as np
 import pytest
+
 from coniferest.aadforest import AADForest
 from coniferest.datasets import non_anomalous_outliers, ztf_m31
 from coniferest.label import Label