From 70673cee6a570350b142758d52fba215bec2cf46 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 19 Nov 2024 10:29:07 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/spikeinterface/sorters/internal/spyking_circus2.py    | 4 ++--
 src/spikeinterface/sortingcomponents/clustering/circus.py | 8 ++++----
 .../sortingcomponents/clustering/random_projections.py    | 8 ++++----
 src/spikeinterface/sortingcomponents/peak_detection.py    | 2 +-
 4 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/src/spikeinterface/sorters/internal/spyking_circus2.py b/src/spikeinterface/sorters/internal/spyking_circus2.py
index fcba32aeb9..c55a152d10 100644
--- a/src/spikeinterface/sorters/internal/spyking_circus2.py
+++ b/src/spikeinterface/sorters/internal/spyking_circus2.py
@@ -204,7 +204,7 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
             detection_params["prototype"] = prototype
             detection_params["ms_before"] = ms_before
             if params["debug"]:
-                np.save(clustering_folder / 'prototype.npy', prototype)
+                np.save(clustering_folder / "prototype.npy", prototype)
             if skip_peaks:
                 detection_params["skip_after_n_peaks"] = n_peaks
             peaks = detect_peaks(recording_w, "matched_filtering", **detection_params, **job_kwargs)
@@ -450,4 +450,4 @@ def get_prototype(recording, n_peaks, ms_before, ms_after, **all_kwargs):
     waveforms = res[1]
     with np.errstate(divide="ignore", invalid="ignore"):
         prototype = np.nanmedian(waveforms[:, :, 0] / (np.abs(waveforms[:, nbefore, 0][:, np.newaxis])), axis=0)
-    return prototype
\ No newline at end of file
+    return prototype
diff --git a/src/spikeinterface/sortingcomponents/clustering/circus.py b/src/spikeinterface/sortingcomponents/clustering/circus.py
index 4a8ff78c95..cc8ce9e551 100644
--- a/src/spikeinterface/sortingcomponents/clustering/circus.py
+++ b/src/spikeinterface/sortingcomponents/clustering/circus.py
@@ -60,7 +60,7 @@ class CircusClustering:
         "n_svd": [5, 2],
         "ms_before": 0.5,
         "ms_after": 0.5,
-        "noise_threshold" : 4,
+        "noise_threshold": 4,
         "rank": 5,
         "noise_levels": None,
         "tmp_folder": None,
@@ -241,10 +241,10 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
             job_name=None,
             **job_kwargs,
         )
-    
-        peak_snrs = np.abs(templates_array[:, nbefore, :])/templates_array_std[:, nbefore, :]
+
+        peak_snrs = np.abs(templates_array[:, nbefore, :]) / templates_array_std[:, nbefore, :]
         best_channels = np.argmax(np.abs(templates_array[:, nbefore, :]), axis=1)
-        best_snrs_ratio = (peak_snrs/params["noise_levels"])[np.arange(len(peak_snrs)), best_channels]
+        best_snrs_ratio = (peak_snrs / params["noise_levels"])[np.arange(len(peak_snrs)), best_channels]
         valid_templates = best_snrs_ratio > params["noise_threshold"]
 
         if d["rank"] is not None:
diff --git a/src/spikeinterface/sortingcomponents/clustering/random_projections.py b/src/spikeinterface/sortingcomponents/clustering/random_projections.py
index 666cc9e747..8db7202deb 100644
--- a/src/spikeinterface/sortingcomponents/clustering/random_projections.py
+++ b/src/spikeinterface/sortingcomponents/clustering/random_projections.py
@@ -53,7 +53,7 @@ class RandomProjectionClustering:
         "random_seed": 42,
         "noise_levels": None,
         "smoothing_kwargs": {"window_length_ms": 0.25},
-        "noise_threshold" : 4,
+        "noise_threshold": 4,
         "tmp_folder": None,
         "verbose": True,
     }
@@ -144,10 +144,10 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
             job_name=None,
             **job_kwargs,
         )
-            
-        peak_snrs = np.abs(templates_array[:, nbefore, :])/templates_array_std[:, nbefore, :]
+
+        peak_snrs = np.abs(templates_array[:, nbefore, :]) / templates_array_std[:, nbefore, :]
         best_channels = np.argmax(np.abs(templates_array[:, nbefore, :]), axis=1)
-        best_snrs_ratio = (peak_snrs/params["noise_levels"])[np.arange(len(peak_snrs)), best_channels]
+        best_snrs_ratio = (peak_snrs / params["noise_levels"])[np.arange(len(peak_snrs)), best_channels]
         valid_templates = best_snrs_ratio > params["noise_threshold"]
 
         templates = Templates(
diff --git a/src/spikeinterface/sortingcomponents/peak_detection.py b/src/spikeinterface/sortingcomponents/peak_detection.py
index a3b7f35f2b..8a22b35152 100644
--- a/src/spikeinterface/sortingcomponents/peak_detection.py
+++ b/src/spikeinterface/sortingcomponents/peak_detection.py
@@ -727,7 +727,7 @@ def compute(self, traces, start_frame, end_frame, segment_index, max_margin):
 
         peak_sample_ind += self.exclude_sweep_size + self.conv_margin + self.nbefore
         peak_amplitude = traces[peak_sample_ind, peak_chan_ind]
-        
+
         local_peaks = np.zeros(peak_sample_ind.size, dtype=self._dtype)
         local_peaks["sample_index"] = peak_sample_ind
         local_peaks["channel_index"] = peak_chan_ind