[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

rsp_vision/analysis/gaussians_calculations.py

@@ -53,9 +53,7 @@ def elliptical_gaussian_andermann(
     r = (
         peak_response
         * np.exp(-((np.log2(sf) - np.log2(sf_0)) ** 2) / 2 * (sigma_sf**2))
-        * np.exp(
-            -((np.log2(tf) - log_2_tf_pref_sf) ** 2) / 2 * (sigma_tf**2)
-        )
+        * np.exp(-((np.log2(tf) - log_2_tf_pref_sf) ** 2) / 2 * (sigma_tf**2))
     )
 
     return r

rsp_vision/analysis/spatial_freq_temporal_freq.py

@@ -66,9 +66,9 @@ def __call__(self) -> PhotonData:
             ]
         )
 
-        self.data.p_values[
-            "Kruskal-Wallis test"
-        ] = self.nonparam_anova_over_rois()
+        self.data.p_values["Kruskal-Wallis test"] = (
+            self.nonparam_anova_over_rois()
+        )
         (
             self.data.p_values["Sign test"],
             self.data.p_values["Wilcoxon signed rank test"],
@@ -504,9 +504,11 @@ def get_median_subtracted_response_and_params(
 
         median_subtracted_response = (
             responses[
-                (responses.roi_id == roi_id) & (responses.direction == dir)
-                if not pool_directions
-                else (responses.roi_id == roi_id)
+                (
+                    (responses.roi_id == roi_id) & (responses.direction == dir)
+                    if not pool_directions
+                    else (responses.roi_id == roi_id)
+                )
             ]
             .groupby(["sf", "tf"])[["subtracted"]]
             .median()
@@ -520,9 +522,9 @@ def get_median_subtracted_response_and_params(
 
         for i, sf in enumerate(sfs):
             for j, tf in enumerate(tfs):
-                median_subtracted_response_2d_matrix[
-                    i, j
-                ] = median_subtracted_response.loc[(sf, tf)]["subtracted"]
+                median_subtracted_response_2d_matrix[i, j] = (
+                    median_subtracted_response.loc[(sf, tf)]["subtracted"]
+                )
 
         return median_subtracted_response_2d_matrix, sf_0, tf_0, peak_response
 
@@ -701,6 +703,6 @@ def get_all_fits(self) -> None:
                         key
                     ][0]
                     self.data.fit_output[(roi_id, key)] = roi_data[key][1]
-                    self.data.median_subtracted_response[
-                        (roi_id, key)
-                    ] = roi_data[key][2]
+                    self.data.median_subtracted_response[(roi_id, key)] = (
+                        roi_data[key][2]
+                    )

rsp_vision/save/save_data.py

@@ -304,9 +304,11 @@ def save_metadata_about_this_analysis(
     #  save in a file details about the experimental data that was analysed
     metadata = {
         "folder_name": folder_naming_specs.folder_name,
-        "photon_type": "two_photon"
-        if photon_data.photon_type == PhotonType.TWO_PHOTON
-        else "three_photon",
+        "photon_type": (
+            "two_photon"
+            if photon_data.photon_type == PhotonType.TWO_PHOTON
+            else "three_photon"
+        ),
         "date": str(datetime.datetime.now()),
         "rsp_vision_latest_commit_hash": str(
             git.Repo(search_parent_directories=True).head.object.hexsha
@@ -363,9 +365,11 @@ def save_info_in_main_log(
         "commit_hash": str(
             git.Repo(search_parent_directories=True).head.object.hexsha
         ),
-        "microscope": "two_photon"
-        if photon_data.photon_type == PhotonType.TWO_PHOTON
-        else "three_photon",
+        "microscope": (
+            "two_photon"
+            if photon_data.photon_type == PhotonType.TWO_PHOTON
+            else "three_photon"
+        ),
         "n_roi": photon_data.n_roi,
         "n_responsive_roi": len(photon_data.responsive_rois),
         "days_of_the_experiment": photon_data.total_n_days,