Merge pull request #119 from smoia/pre-commit-ci-update-config

[pre-commit.ci] pre-commit autoupdate
smoia · Jun 1, 2024 · cc73b57 · cc73b57
2 parents 9b04648 + 9b7af82
commit cc73b57
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -33,6 +33,6 @@ repos:
       - id: rst-directive-colons
       - id: rst-inline-touching-normal
 -   repo: https://github.com/codespell-project/codespell
-    rev: v2.2.6
+    rev: v2.3.0
     hooks:
       - id: codespell
diff --git a/phys2cvr/phys2cvr.py b/phys2cvr/phys2cvr.py
@@ -660,7 +660,7 @@ def phys2cvr(
 
                 for i in lag_idx_list:
                     LGR.info(
-                        f"Perform L-GLM for lag {lag_list[i]} ({i+1} of "
+                        f"Perform L-GLM for lag {lag_list[i]} ({i + 1} of "
                         f"{len(lag_idx_list)}"
                     )
                     try:
@@ -700,7 +700,7 @@ def phys2cvr(
                 )
 
                 for n, i in enumerate(lag_range):
-                    LGR.info(f"Perform L-GLM number {n+1} of {len(lag_range)}")
+                    LGR.info(f"Perform L-GLM number {n + 1} of {len(lag_range)}")
                     try:
                         regr = regr_shifts[:, i]
                         LGR.debug(f"Using shift {i} from matrix in memory: {regr}")

diff --git a/phys2cvr/stats.py b/phys2cvr/stats.py
@@ -218,10 +218,10 @@ def get_regr(
 
     if not skip_xcorr:
         _, optshift, xcorr = x_corr(func_cut, petco2hrf, nrep, abs_xcorr=abs_xcorr)
-        LGR.info(f"Cross correlation estimated bulk shift at {optshift/freq} seconds")
+        LGR.info(f"Cross correlation estimated bulk shift at {optshift / freq} seconds")
         # Export estimated optimal shift in seconds
         with open(f"{outname}_optshift.1D", "w") as f:
-            print(f"{(optshift/freq):.4f}", file=f)
+            print(f"{(optshift / freq):.4f}", file=f)
         # Export xcorr figure
         plt.figure(figsize=FIGSIZE, dpi=SET_DPI)
         plt.plot(time_axis, xcorr)