lint

tests/base/test_diagnostics.py

@@ -7,6 +7,7 @@
 import pandas as pd
 import pytest
 from arviz_base import load_arviz_data, xarray_var_iter
+
 from arviz_stats.base import array_stats
 
 # For tests only, recommended value should be closer to 1.01-1.05

tests/base/test_stats_utils.py

@@ -4,11 +4,12 @@
 #  pylint: disable=no-member,unnecessary-lambda-assignment
 import numpy as np
 import pytest
-from arviz_stats.base.stats_utils import logsumexp as _logsumexp
-from arviz_stats.base.stats_utils import make_ufunc, not_valid
 from numpy.testing import assert_array_almost_equal
 from scipy.special import logsumexp
 
+from arviz_stats.base.stats_utils import logsumexp as _logsumexp
+from arviz_stats.base.stats_utils import make_ufunc, not_valid
+
 
 @pytest.mark.parametrize("ary_dtype", [np.float64, np.float32, np.int32, np.int64])
 @pytest.mark.parametrize("axis", [None, 0, 1, (-2, -1)])

tests/test_psense.py

@@ -1,10 +1,11 @@
 import os
 
 from arviz_base import convert_to_datatree
-from arviz_stats import psense, psense_summary
 from numpy import isclose
 from numpy.testing import assert_almost_equal
 
+from arviz_stats import psense, psense_summary
+
 file_path = os.path.join(os.path.dirname(__file__), "univariate_normal.nc")
 uni_dt = convert_to_datatree(file_path)
 

tests/test_utils.py

@@ -5,6 +5,7 @@
 import numpy as np
 import pytest
 from arviz_base import from_dict, rcParams
+
 from arviz_stats.base.dataarray import dataarray_stats
 from arviz_stats.utils import ELPDData, get_function, get_log_likelihood
 

tox.ini

@@ -9,9 +9,10 @@ isolated_build_env = build
 
 [gh-actions]
 python =
-    3.10: check, py310
+    3.10: py310
     3.11: py311
-    3.12: py312
+    3.12: py312, check
+    3.13: py313
 
 [testenv]
 basepython =