diff --git a/.github/workflows/run-test.yml b/.github/workflows/run-test.yml
index 2633344c..84364973 100644
--- a/.github/workflows/run-test.yml
+++ b/.github/workflows/run-test.yml
@@ -19,7 +19,7 @@ jobs:
   tests:
     strategy:
       matrix:
-        python-version: ["3.7", "3.8", "3.9", "3.10"]
+        python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
         os: [ubuntu-latest, windows-latest, macos-latest]
     runs-on: ${{ matrix.os }}
     steps:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index cc709819..7f5a46f0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
 repos:
 - repo: https://github.com/psf/black
-  rev: 22.12.0
+  rev: 23.3.0
   hooks:
     - id: black
       language_version: python3
@@ -15,14 +15,15 @@ repos:
     - id: check-symlinks
     - id: check-toml
 - repo: https://github.com/pre-commit/pygrep-hooks
-  rev: v1.9.0
+  rev: v1.10.0
   hooks:
     - id: python-no-eval  # A quick check for the eval() built-in function.
 - repo: https://github.com/PyCQA/docformatter
-  rev: v1.5.1
+  rev: v1.6.0
   hooks:
     - id: docformatter
       args: [--in-place]
+      exclude: mkdocs_macros.py
 - repo: https://github.com/PyCQA/flake8
   rev: 6.0.0
   hooks:
@@ -33,11 +34,11 @@ repos:
   hooks:
     - id: nbstripout
 -   repo: https://github.com/asottile/blacken-docs
-    rev: v1.12.1
+    rev: 1.13.0
     hooks:
     - id: blacken-docs
 - repo: https://github.com/nbQA-dev/nbQA
-  rev: 1.6.0
+  rev: 1.7.0
   hooks:
     - id: nbqa-black
       args: [--nbqa-mutate]
diff --git a/src/ruptures/detection/binseg.py b/src/ruptures/detection/binseg.py
index dd8369bf..075212b7 100644
--- a/src/ruptures/detection/binseg.py
+++ b/src/ruptures/detection/binseg.py
@@ -21,7 +21,6 @@ def __init__(self, model="l2", custom_cost=None, min_size=2, jump=5, params=None
             jump (int, optional): subsample (one every *jump* points). Defaults to 5 samples.
             params (dict, optional): a dictionary of parameters for the cost instance.
         """
-
         if custom_cost is not None and isinstance(custom_cost, BaseCost):
             self.cost = custom_cost
         else:
@@ -47,7 +46,6 @@ def _seg(self, n_bkps=None, pen=None, epsilon=None):
         Returns:
             dict: partition dict {(start, end): cost value,...}
         """
-
         # initialization
         bkps = [self.n_samples]
         stop = False
diff --git a/src/ruptures/detection/kernelcpd.py b/src/ruptures/detection/kernelcpd.py
index 8da904c5..970ac7f8 100644
--- a/src/ruptures/detection/kernelcpd.py
+++ b/src/ruptures/detection/kernelcpd.py
@@ -23,8 +23,8 @@ class KernelCPD(BaseEstimator):
     Given a segment model, it computes the best partition for which the
     sum of errors is minimum.
 
-    See the [user guide](../../../user-guide/detection/kernelcpd) for more
-    information.
+    See the [user guide](../../../user-guide/detection/kernelcpd) for
+    more information.
     """
 
     def __init__(self, kernel="linear", min_size=2, jump=1, params=None):
diff --git a/src/ruptures/detection/pelt.py b/src/ruptures/detection/pelt.py
index e4135cc6..1b0c352d 100644
--- a/src/ruptures/detection/pelt.py
+++ b/src/ruptures/detection/pelt.py
@@ -45,7 +45,6 @@ def _seg(self, pen):
         Returns:
             dict: partition dict {(start, end): cost value,...}
         """
-
         # initialization
         # partitions[t] contains the optimal partition of signal[0:t]
         partitions = dict()  # this dict will be recursively filled
diff --git a/src/ruptures/detection/window.py b/src/ruptures/detection/window.py
index 74668a0f..98a36ac6 100644
--- a/src/ruptures/detection/window.py
+++ b/src/ruptures/detection/window.py
@@ -54,7 +54,6 @@ def _seg(self, n_bkps=None, pen=None, epsilon=None):
         Returns:
             list: breakpoint index list
         """
-
         # initialization
         bkps = [self.n_samples]
         stop = False
diff --git a/tests/test_costs.py b/tests/test_costs.py
index 0b10d3cd..6a680d66 100644
--- a/tests/test_costs.py
+++ b/tests/test_costs.py
@@ -204,7 +204,7 @@ def test_costml(signal_bkps_5D_noisy, signal_bkps_1D_noisy):
     """
     # no user-defined metric matrix
     c = CostMl()
-    for (signal, bkps) in (signal_bkps_5D_noisy, signal_bkps_1D_noisy):
+    for signal, bkps in (signal_bkps_5D_noisy, signal_bkps_1D_noisy):
         c.fit(signal=signal)
         c.error(0, 100)
         c.sum_of_costs(bkps)
@@ -219,7 +219,6 @@ def test_costml(signal_bkps_5D_noisy, signal_bkps_1D_noisy):
 
 def test_costl2_small_data():
     """Test if CostL2 returns the correct segmentation for small data."""
-
     signal = np.array([0.0, 0.1, 1.2, 1.0])
     n_samples = signal.shape[0]
     algo = Binseg(model="l2", min_size=1, jump=1).fit(signal)