Ignore 3 mypy errors in add_year/__init__.py

New errors occurring with pandas-stubs v2.3.3.251201.

Author: khaeru

message_ix/tools/add_year/__init__.py

@@ -829,7 +829,7 @@ def idx_check(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
                 d_n = slice_df(df_yrs, idx, year_ref, [yr_nn], yr)
             d_n = d_n.loc[d_n.index.isin(d.index), :]
             d = d.loc[d.index.isin(d_n.index), :]
-            d[d.isnull() & d_n.notnull()] = d_n
+            d[d.isnull() & d_n.notnull()] = d_n  # type: ignore [call-overload]
             df2.loc[df2.index.isin(d.index), :] = d
 
         cond1 = df_dur.index <= yr_diff_new[0]
@@ -910,15 +910,15 @@ def idx_check(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
             )  # type: ignore
             df_yr[np.isinf(df_pre)] = df_pre
 
-            # For those technolofies with one value for each year
+            # For those technologies with one value for each year
             df_to_fill_nans: pd.DataFrame = intpol(
                 df_pre, df_pp.shift(+1, axis=1), year_pre, year_pp, yr
             )  # type: ignore
             df_yr.loc[pd.isna(df_yr[yr])] = df_to_fill_nans.shift(+1, axis=1)
-            df_yr[pd.isna(df_yr)] = df_pre
+            df_yr[pd.isna(df_yr)] = df_pre  # type: ignore [call-overload]
 
             if extrapol_neg:
-                df_yr[(df_yr < 0) & (df_pre >= 0)] = df_pre * extrapol_neg
+                df_yr[(df_yr < 0) & (df_pre >= 0)] = df_pre * extrapol_neg  # type: ignore [call-overload]
             df_yr.loc[:, df_yr.columns < str(yr)] = np.nan
 
         # c) Otherwise, do intrapolation