fix code style

MSDLLCpapers · Sep 23, 2024 · 22f9b46 · 22f9b46
1 parent fb83a60
commit 22f9b46
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/obsidian/parameters/param_space.py b/obsidian/parameters/param_space.py
@@ -242,13 +242,13 @@ def search_space(self) -> pd.DataFrame:
                 X_search_t = pd.concat([X_search_t, cont_bounds], axis=1)
 
             # For discrete, encode the available categories, then log the min-max of encoded columns
-            elif isinstance(param, Param_Discrete) and (not isinstance(param, (Param_Ordinal,Param_Discrete_Numeric))):
+            elif isinstance(param, Param_Discrete) and (not isinstance(param, (Param_Ordinal, Param_Discrete_Numeric))):
                 # Discrete parameter bounds aren't actually handled here; they are handled in optimizer._fixed_features())
                 cat_e = param.encode(param.search_categories)
                 disc_bounds = pd.DataFrame(np.vstack([[0]*cat_e.shape[-1], cat_e.max().values]),
                                            columns=cat_e.columns)
                 X_search_t = pd.concat([X_search_t, disc_bounds], axis=1)
-            elif isinstance(param, (Param_Ordinal,Param_Discrete_Numeric)):
+            elif isinstance(param, (Param_Ordinal, Param_Discrete_Numeric)):
                 cat_e = param.encode(param.search_categories)
                 cont_bounds = pd.DataFrame([min(cat_e), max(cat_e)], columns=[param.name])
                 X_search_t = pd.concat([X_search_t, cont_bounds], axis=1)