diff --git a/src/sparselm/model/__init__.py b/src/sparselm/model/__init__.py
index 922911a..6ea15d8 100644
--- a/src/sparselm/model/__init__.py
+++ b/src/sparselm/model/__init__.py
@@ -1,4 +1,5 @@
 """Classes implementing generalized linear regression Regressors."""
+
 from ._adaptive_lasso import (
     AdaptiveGroupLasso,
     AdaptiveLasso,
diff --git a/src/sparselm/model/_adaptive_lasso.py b/src/sparselm/model/_adaptive_lasso.py
index 81c03d2..2c6dada 100644
--- a/src/sparselm/model/_adaptive_lasso.py
+++ b/src/sparselm/model/_adaptive_lasso.py
@@ -113,8 +113,9 @@ def __init__(
         max_iter: int = 3,
         eps: float = 1e-6,
         tol: float = 1e-10,
-        update_function: Callable[[NDArray[np.floating], float], ArrayLike]
-        | None = None,
+        update_function: (
+            Callable[[NDArray[np.floating], float], ArrayLike] | None
+        ) = None,
         fit_intercept: bool = False,
         copy_X: bool = True,
         warm_start: bool = True,
@@ -310,8 +311,9 @@ def __init__(
         max_iter: int = 3,
         eps: float = 1e-6,
         tol: float = 1e-10,
-        update_function: Callable[[NDArray[np.floating], float], ArrayLike]
-        | None = None,
+        update_function: (
+            Callable[[NDArray[np.floating], float], ArrayLike] | None
+        ) = None,
         standardize: bool = False,
         fit_intercept: bool = False,
         copy_X: bool = True,
@@ -457,8 +459,9 @@ def __init__(
         max_iter: int = 3,
         eps: float = 1e-6,
         tol: float = 1e-10,
-        update_function: Callable[[NDArray[np.floating], float], ArrayLike]
-        | None = None,
+        update_function: (
+            Callable[[NDArray[np.floating], float], ArrayLike] | None
+        ) = None,
         standardize: bool = False,
         fit_intercept: bool = False,
         copy_X: bool = True,
@@ -606,8 +609,9 @@ def __init__(
         max_iter: int = 3,
         eps: float = 1e-6,
         tol: float = 1e-10,
-        update_function: Callable[[NDArray[np.floating], float], ArrayLike]
-        | None = None,
+        update_function: (
+            Callable[[NDArray[np.floating], float], ArrayLike] | None
+        ) = None,
         standardize: bool = False,
         fit_intercept: bool = False,
         copy_X: bool = True,
@@ -808,8 +812,9 @@ def __init__(
         max_iter: int = 3,
         eps: float = 1e-6,
         tol: float = 1e-10,
-        update_function: Callable[[NDArray[np.floating], float], ArrayLike]
-        | None = None,
+        update_function: (
+            Callable[[NDArray[np.floating], float], ArrayLike] | None
+        ) = None,
         standardize: bool = False,
         fit_intercept: bool = False,
         copy_X: bool = True,
diff --git a/src/sparselm/model/_miqp/__init__.py b/src/sparselm/model/_miqp/__init__.py
index 3bc2b8e..c530db9 100644
--- a/src/sparselm/model/_miqp/__init__.py
+++ b/src/sparselm/model/_miqp/__init__.py
@@ -1,6 +1,5 @@
 """MIQP based regression Regressors."""
 
-
 from ._best_subset import BestSubsetSelection, RidgedBestSubsetSelection
 from ._regularized_l0 import L1L0, L2L0, RegularizedL0
 
diff --git a/tests/test_stepwise.py b/tests/test_stepwise.py
index f20a39d..2b1c7c0 100644
--- a/tests/test_stepwise.py
+++ b/tests/test_stepwise.py
@@ -1,4 +1,5 @@
 """Test composite estimator class."""
+
 import numpy as np
 import numpy.testing as npt
 import pytest