diff --git a/src/spikeinterface/extractors/tests/test_iblextractors.py b/src/spikeinterface/extractors/tests/test_iblextractors.py
index 5306de2441..bd0d2184d4 100644
--- a/src/spikeinterface/extractors/tests/test_iblextractors.py
+++ b/src/spikeinterface/extractors/tests/test_iblextractors.py
@@ -68,11 +68,11 @@ def test_channel_ids(self):
 
     def test_gains(self):
         expected_gains = 2.34375 * np.ones(shape=384)
-        assert_array_equal(x=self.recording.get_channel_gains(), y=expected_gains)
+        assert_array_equal(self.recording.get_channel_gains(), expected_gains)
 
     def test_offsets(self):
         expected_offsets = np.zeros(shape=384)
-        assert_array_equal(x=self.recording.get_channel_offsets(), y=expected_offsets)
+        assert_array_equal(self.recording.get_channel_offsets(), expected_offsets)
 
     def test_probe_representation(self):
         probe = self.recording.get_probe()
@@ -142,11 +142,11 @@ def test_channel_ids(self):
 
     def test_gains(self):
         expected_gains = np.concatenate([2.34375 * np.ones(shape=384), [1171.875]])
-        assert_array_equal(x=self.recording.get_channel_gains(), y=expected_gains)
+        assert_array_equal(self.recording.get_channel_gains(), expected_gains)
 
     def test_offsets(self):
         expected_offsets = np.zeros(shape=385)
-        assert_array_equal(x=self.recording.get_channel_offsets(), y=expected_offsets)
+        assert_array_equal(self.recording.get_channel_offsets(), expected_offsets)
 
     def test_probe_representation(self):
         expected_exception = ValueError
diff --git a/src/spikeinterface/postprocessing/tests/test_principal_component.py b/src/spikeinterface/postprocessing/tests/test_principal_component.py
index 77bff7a3d8..0e65bb2338 100644
--- a/src/spikeinterface/postprocessing/tests/test_principal_component.py
+++ b/src/spikeinterface/postprocessing/tests/test_principal_component.py
@@ -101,7 +101,7 @@ def test_get_projections(self, sparse):
 
         random_spikes_ext = sorting_analyzer.get_extension("random_spikes")
         random_spikes_indices = random_spikes_ext.get_data()
-        unit_ids_num_random_spikes = np.sum(random_spikes_ext.params["max_spikes_per_unit"] for _ in some_unit_ids)
+        unit_ids_num_random_spikes = sum(random_spikes_ext.params["max_spikes_per_unit"] for _ in some_unit_ids)
 
         # this should be all spikes all channels
         some_projections, spike_unit_index = ext.get_some_projections(channel_ids=None, unit_ids=None)
diff --git a/src/spikeinterface/preprocessing/tests/test_filter.py b/src/spikeinterface/preprocessing/tests/test_filter.py
index 398b6cbc0e..e95b456542 100644
--- a/src/spikeinterface/preprocessing/tests/test_filter.py
+++ b/src/spikeinterface/preprocessing/tests/test_filter.py
@@ -50,7 +50,7 @@ def test_causal_filter_main_kwargs(self, recording_and_data):
 
         # Then, change all kwargs to ensure they are propagated
         # and check the backwards version.
-        options["band"] = [671]
+        options["band"] = 671
         options["btype"] = "highpass"
         options["filter_order"] = 8
         options["ftype"] = "bessel"