diff --git a/src/nwbinspector/checks/time_series.py b/src/nwbinspector/checks/time_series.py
index c59ddc587..04b114865 100644
--- a/src/nwbinspector/checks/time_series.py
+++ b/src/nwbinspector/checks/time_series.py
@@ -92,12 +92,14 @@ def check_timestamps_ascending(time_series: TimeSeries, nelems=200):
     if time_series.timestamps is not None and not is_ascending_series(time_series.timestamps, nelems=nelems):
         return InspectorMessage(f"{time_series.name} timestamps are not ascending.")
 
+
 @register_check(importance=Importance.BEST_PRACTICE_VIOLATION, neurodata_type=TimeSeries)
 def check_timestamps_with_nans(time_series: TimeSeries):
     """Check if there are NaN values in the timestamps array."""
     if time_series.timestamps is not None and np.isnan(time_series.timestamps).any():
         return InspectorMessage(f"{time_series.name} timestamps contain NaN values.")
 
+
 @register_check(importance=Importance.BEST_PRACTICE_SUGGESTION, neurodata_type=TimeSeries)
 def check_timestamp_of_the_first_sample_is_not_negative(time_series: TimeSeries):
     """
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 88a07219d..5ff3781bc 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -19,6 +19,7 @@
 
 import numpy as np
 
+
 def test_format_byte_size():
     assert format_byte_size(byte_size=12345) == "12.35KB"
 
diff --git a/tests/unit_tests/test_time_series.py b/tests/unit_tests/test_time_series.py
index b47a0336f..2d49033c0 100644
--- a/tests/unit_tests/test_time_series.py
+++ b/tests/unit_tests/test_time_series.py
@@ -227,10 +227,14 @@ def test_pass_check_timestamps_ascending_pass():
     time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[1, 2, 3])
     assert check_timestamps_ascending(time_series) is None
 
+
 def test_pass_check_timestamps_ascending_with_nans_pass():
-    time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[1, np.nan, 3])
+    time_series = pynwb.TimeSeries(
+        name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[1, np.nan, 3]
+    )
     assert check_timestamps_ascending(time_series) is None
 
+
 def test_check_timestamps_ascending_fail():
     time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[1, 3, 2])
     assert check_timestamps_ascending(time_series) == InspectorMessage(
@@ -242,8 +246,11 @@ def test_check_timestamps_ascending_fail():
         location="/",
     )
 
+
 def test_check_timestamps_ascending_with_nans_fail():
-    time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[np.nan, 3, 2])
+    time_series = pynwb.TimeSeries(
+        name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[np.nan, 3, 2]
+    )
     assert check_timestamps_ascending(time_series) == InspectorMessage(
         message="test_time_series timestamps are not ascending.",
         importance=Importance.BEST_PRACTICE_VIOLATION,
@@ -253,12 +260,16 @@ def test_check_timestamps_ascending_with_nans_fail():
         location="/",
     )
 
+
 def test_check_timestamps_with_nans_pass():
     time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[1, 2, 3])
     assert check_timestamps_with_nans(time_series) is None
 
+
 def test_check_timestamps_with_nans_fail():
-    time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[np.nan, 2, 3])
+    time_series = pynwb.TimeSeries(
+        name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[np.nan, 2, 3]
+    )
     assert check_timestamps_with_nans(time_series) == InspectorMessage(
         message="test_time_series timestamps contain NaN values.",
         importance=Importance.BEST_PRACTICE_VIOLATION,
@@ -268,6 +279,7 @@ def test_check_timestamps_with_nans_fail():
         location="/",
     )
 
+
 def test_check_timestamp_of_the_first_sample_is_not_negative_with_timestamps_fail():
     time_series = pynwb.TimeSeries(name="test_time_series", unit="test_units", data=[1, 2, 3], timestamps=[-1, 0, 1])
     message = (