linux gave error because of differently inferred data_freq string

lilio/calendar.py

@@ -376,18 +376,19 @@ def _concatenate_periods(self, year, list_periods, is_target):
             # loop through all the building blocks to
             for block in list_periods:
                 left_date += block.gap_dateoffset
-                right_date = left_date + block.length_dateoffset
-                intervals.append(pd.Interval(left_date, right_date, closed="left"))
+                # -1 day because now closed on both sides
+                right_date = left_date + block.length_dateoffset - DateOffset(days=1)
+                intervals.append(pd.Interval(left_date, right_date, closed="both"))
                 # update left date
                 left_date = right_date
         else:
             # build from right to left
             right_date = self._get_anchor(year)
             # loop through all the building blocks to
             for block in list_periods:
-                right_date -= block.gap_dateoffset
+                right_date -= block.gap_dateoffset - DateOffset(days=1)
                 left_date = right_date - block.length_dateoffset
-                intervals.append(pd.Interval(left_date, right_date, closed="left"))
+                intervals.append(pd.Interval(left_date, right_date, closed="both"))
                 # update right date
                 right_date = left_date
 

lilio/utils.py

@@ -127,7 +127,9 @@ def infer_input_data_freq(
         )
 
         data_freq = (  # Deal with yearly timedelta case
-            replace_year_length(data_freq) if "A" in data_freq else data_freq
+            replace_year_length(data_freq)
+            if "A" in data_freq or "Y" in data_freq
+            else data_freq
         )
 
     return pd.Timedelta(data_freq)

pyproject.toml

@@ -55,7 +55,7 @@ classifiers = [
 dependencies = [
   "netcdf4",
   "numpy",
-  "pandas",
+  "pandas < 2.2",
   "matplotlib",
   "xarray",
   "scikit-learn",