fix

tasks.py

@@ -9,7 +9,6 @@
 import sys
 from pathlib import Path
 
-from packaging.version import Version
 import tomli
 from invoke import task
 from packaging.requirements import Requirement

tests/end-to-end/bivariate/test_base.py

@@ -1,5 +1,6 @@
 import numpy as np
 import pytest
+
 from copulas.bivariate import Bivariate
 
 

tests/end-to-end/multivariate/test_base.py

@@ -1,5 +1,6 @@
 import numpy as np
 import pytest
+
 from copulas.datasets import sample_trivariate_xyz
 from copulas.multivariate import GaussianMultivariate, VineCopula
 

tests/end-to-end/multivariate/test_gaussian.py

@@ -5,6 +5,7 @@
 
 import numpy as np
 import pandas as pd
+
 from copulas.datasets import sample_trivariate_xyz
 from copulas.multivariate import GaussianMultivariate
 from copulas.univariate import BetaUnivariate, GaussianKDE, ParametricType, Univariate

tests/end-to-end/test___init__.py

@@ -1,4 +1,5 @@
 import numpy as np
+
 from copulas import random_state
 
 

tests/end-to-end/univariate/test_beta.py

@@ -3,9 +3,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import BetaUnivariate
 from scipy.stats import beta
 
+from copulas.univariate import BetaUnivariate
+
 
 class TestGaussian(TestCase):
     def setUp(self):

tests/end-to-end/univariate/test_gamma.py

@@ -3,9 +3,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import GammaUnivariate
 from scipy.stats import gamma
 
+from copulas.univariate import GammaUnivariate
+
 
 class TestGaussian(TestCase):
     def setUp(self):

tests/end-to-end/univariate/test_gaussian.py

@@ -3,9 +3,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import GaussianUnivariate
 from scipy.stats import norm
 
+from copulas.univariate import GaussianUnivariate
+
 
 class TestGaussian(TestCase):
     def setUp(self):

tests/end-to-end/univariate/test_gaussian_kde.py

@@ -3,10 +3,11 @@
 from unittest import TestCase
 
 import numpy as np
+from scipy.stats import ks_2samp, norm, randint
+
 from copulas.datasets import sample_univariate_bimodal
 from copulas.multivariate import GaussianMultivariate
 from copulas.univariate.gaussian_kde import GaussianKDE
-from scipy.stats import ks_2samp, norm, randint
 
 
 class TestGaussian(TestCase):

tests/end-to-end/univariate/test_student_t.py

@@ -3,9 +3,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import StudentTUnivariate
 from scipy.stats import t
 
+from copulas.univariate import StudentTUnivariate
+
 
 class TestStudentT(TestCase):
     def setUp(self):

tests/end-to-end/univariate/test_truncated_gaussian.py

@@ -3,9 +3,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import TruncatedGaussian
 from scipy.stats import truncnorm
 
+from copulas.univariate import TruncatedGaussian
+
 
 class TestGaussian(TestCase):
     def setUp(self):

tests/large_scale_evaluation.py

@@ -43,10 +43,11 @@
 import tabulate
 from botocore import UNSIGNED
 from botocore.client import Config
+from scipy.stats import ks_2samp
+
 from copulas import get_instance
 from copulas.multivariate import GaussianMultivariate, VineCopula
 from copulas.univariate import GaussianUnivariate
-from scipy.stats import ks_2samp
 
 LOGGER = logging.getLogger(__name__)
 

tests/numerical/cdf/test_cdf.py

@@ -5,6 +5,7 @@
 import numpy as np
 import pandas as pd
 import pytest
+
 from copulas import get_instance
 
 BASE = os.path.dirname(__file__)

tests/numerical/fit/test_fit.py

@@ -5,6 +5,7 @@
 import numpy as np
 import pandas as pd
 import pytest
+
 from copulas import get_instance
 
 BASE = os.path.dirname(__file__)

tests/numerical/pdf/test_pdf.py

@@ -5,6 +5,7 @@
 import numpy as np
 import pandas as pd
 import pytest
+
 from copulas import get_instance
 
 BASE = os.path.dirname(__file__)

tests/unit/bivariate/test___init__.py

@@ -1,7 +1,8 @@
 import numpy as np
+from scipy import stats
+
 from copulas.bivariate import select_copula
 from copulas.bivariate.frank import Frank
-from scipy import stats
 
 
 def test_select_copula_negative_tau():

tests/unit/bivariate/test_base.py

@@ -1,8 +1,8 @@
 from unittest import TestCase, mock
 
 import numpy as np
-from copulas.bivariate.base import Bivariate, CopulaTypes
 
+from copulas.bivariate.base import Bivariate, CopulaTypes
 from tests import compare_nested_dicts
 
 

tests/unit/bivariate/test_clayton.py

@@ -1,8 +1,8 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.bivariate.clayton import Clayton
 
+from copulas.bivariate.clayton import Clayton
 from tests import copula_single_arg_not_one, copula_zero_if_arg_zero
 
 

tests/unit/bivariate/test_frank.py

@@ -2,8 +2,8 @@
 from unittest.mock import patch
 
 import numpy as np
-from copulas.bivariate.frank import Frank
 
+from copulas.bivariate.frank import Frank
 from tests import compare_nested_iterables, copula_single_arg_not_one, copula_zero_if_arg_zero
 
 

tests/unit/bivariate/test_gumbel.py

@@ -2,8 +2,8 @@
 from unittest.mock import patch
 
 import numpy as np
-from copulas.bivariate.gumbel import Gumbel
 
+from copulas.bivariate.gumbel import Gumbel
 from tests import compare_nested_iterables, copula_single_arg_not_one, copula_zero_if_arg_zero
 
 

tests/unit/bivariate/test_independence.py

@@ -1,6 +1,7 @@
 from unittest import TestCase
 
 import numpy as np
+
 from copulas.bivariate.independence import Independence
 
 

tests/unit/multivariate/test_base.py

@@ -1,4 +1,5 @@
 import numpy as np
+
 from copulas.multivariate.base import Multivariate
 
 

tests/unit/multivariate/test_gaussian.py

@@ -3,6 +3,7 @@
 
 import numpy as np
 import pandas as pd
+
 from copulas import get_qualified_name
 from copulas.multivariate.gaussian import GaussianMultivariate
 from copulas.univariate import GaussianUnivariate

tests/unit/multivariate/test_tree.py

@@ -5,11 +5,11 @@
 import numpy as np
 import pandas as pd
 import pytest
+
 from copulas import EPSILON
 from copulas.bivariate import CopulaTypes
 from copulas.multivariate.tree import Edge, Tree, TreeTypes, get_tree
 from copulas.univariate.gaussian_kde import GaussianKDE
-
 from tests import compare_nested_dicts, compare_nested_iterables, compare_values_epsilon
 
 

tests/unit/multivariate/test_vine.py

@@ -5,9 +5,9 @@
 import numpy as np
 import pandas as pd
 import pytest
+
 from copulas.multivariate.tree import TreeTypes
 from copulas.multivariate.vine import VineCopula
-
 from tests import compare_nested_dicts, compare_nested_iterables
 
 

tests/unit/optimize/test___init__.py

@@ -1,6 +1,7 @@
 from unittest import TestCase
 
 import numpy as np
+
 from copulas.optimize import bisect, chandrupatla
 
 

tests/unit/test___init__.py

@@ -2,10 +2,12 @@
 from unittest import TestCase
 from unittest.mock import MagicMock, call, patch
 
-import copulas
 import numpy as np
 import pandas as pd
 import pytest
+from numpy.testing import assert_array_equal
+
+import copulas
 from copulas import (
     _find_addons,
     check_valid_values,
@@ -16,7 +18,6 @@
     vectorize,
 )
 from copulas.multivariate import GaussianMultivariate
-from numpy.testing import assert_array_equal
 
 
 class TestVectorize(TestCase):

tests/unit/univariate/test_base.py

@@ -1,6 +1,7 @@
 from unittest.mock import patch
 
 import numpy as np
+
 from copulas.univariate.base import BoundedType, ParametricType, Univariate
 from copulas.univariate.beta import BetaUnivariate
 from copulas.univariate.gamma import GammaUnivariate
@@ -10,7 +11,6 @@
 from copulas.univariate.student_t import StudentTUnivariate
 from copulas.univariate.truncated_gaussian import TruncatedGaussian
 from copulas.univariate.uniform import UniformUnivariate
-
 from tests import compare_nested_iterables
 
 

tests/unit/univariate/test_beta.py

@@ -2,9 +2,10 @@
 from unittest.mock import patch
 
 import numpy as np
-from copulas.univariate import BetaUnivariate
 from scipy.stats import beta
 
+from copulas.univariate import BetaUnivariate
+
 
 class TestBetaUnivariate(TestCase):
     def test__fit_constant(self):

tests/unit/univariate/test_gamma.py

@@ -1,9 +1,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import GammaUnivariate
 from scipy.stats import gamma
 
+from copulas.univariate import GammaUnivariate
+
 
 class TestGammaUnivariate(TestCase):
     def test__fit_constant(self):

tests/unit/univariate/test_gaussian.py

@@ -1,9 +1,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate.gaussian import GaussianUnivariate
 from scipy.stats import norm
 
+from copulas.univariate.gaussian import GaussianUnivariate
+
 
 class TestGaussianUnivariate(TestCase):
     def test__fit_constant(self):

tests/unit/univariate/test_gaussian_kde.py

@@ -8,9 +8,10 @@
 
 import numpy as np
 import pytest
+from scipy.stats import gaussian_kde
+
 from copulas.datasets import sample_univariate_bimodal
 from copulas.univariate.gaussian_kde import GaussianKDE
-from scipy.stats import gaussian_kde
 
 
 class TestGaussianKDE(TestCase):

tests/unit/univariate/test_log_laplace.py

@@ -1,9 +1,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate import LogLaplace
 from scipy.stats import loglaplace
 
+from copulas.univariate import LogLaplace
+
 
 class TestLogLaplaceUnivariate(TestCase):
     def test__fit_constant(self):

tests/unit/univariate/test_selection.py

@@ -1,9 +1,10 @@
 from unittest.mock import Mock, patch
 
 import numpy as np
+from scipy.stats import truncnorm
+
 from copulas.univariate import BetaUnivariate, GaussianKDE, GaussianUnivariate, TruncatedGaussian
 from copulas.univariate.selection import select_univariate
-from scipy.stats import truncnorm
 
 
 def test_select_univariate_bimodal():

tests/unit/univariate/test_student_t.py

@@ -1,9 +1,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate.student_t import StudentTUnivariate
 from scipy.stats import t
 
+from copulas.univariate.student_t import StudentTUnivariate
+
 
 class TestStudentTUnivariate(TestCase):
     def test__fit(self):

tests/unit/univariate/test_truncated_gaussian.py

@@ -3,9 +3,10 @@
 from unittest.mock import patch
 
 import numpy as np
-from copulas.univariate.truncated_gaussian import TruncatedGaussian
 from scipy.stats import truncnorm
 
+from copulas.univariate.truncated_gaussian import TruncatedGaussian
+
 
 class TestTruncatedGaussian(TestCase):
     def test__fit_constant(self):

tests/unit/univariate/test_uniform.py

@@ -1,9 +1,10 @@
 from unittest import TestCase
 
 import numpy as np
-from copulas.univariate.uniform import UniformUnivariate
 from scipy.stats import uniform
 
+from copulas.univariate.uniform import UniformUnivariate
+
 
 class TestUniformUnivariate(TestCase):
     def test__fit_constant(self):