From 82f3c21e9c1c259c8b57039bd7c19c941eea6c9a Mon Sep 17 00:00:00 2001
From: Deepak Cherian <deepak@cherian.net>
Date: Sat, 21 Sep 2024 21:22:23 -0600
Subject: [PATCH] Add skeleton tests

---
 xarray/tests/test_groupby.py | 21 ++++++++++++++++++++-
 1 file changed, 20 insertions(+), 1 deletion(-)

diff --git a/xarray/tests/test_groupby.py b/xarray/tests/test_groupby.py
index dff1fc61313..3949049f6a9 100644
--- a/xarray/tests/test_groupby.py
+++ b/xarray/tests/test_groupby.py
@@ -11,7 +11,7 @@
 from packaging.version import Version
 
 import xarray as xr
-from xarray import DataArray, Dataset, Variable
+from xarray import DataArray, Dataset, Variable, cftime_range
 from xarray.core.alignment import broadcast
 from xarray.core.groupby import _consolidate_slices
 from xarray.core.types import InterpOptions, ResampleCompatible
@@ -19,6 +19,7 @@
     BinGrouper,
     EncodedGroups,
     Grouper,
+    SeasonResampler,
     TimeResampler,
     UniqueGrouper,
     season_to_month_tuple,
@@ -2944,6 +2945,24 @@ def test_season_to_month_tuple():
     )
 
 
+def test_season_resampler():
+    time = cftime_range("2001-01-01", "2002-12-30", freq="D", calendar="360_day")
+    da = DataArray(np.ones(time.size), dims="time", coords={"time": time})
+
+    # through resample
+    da.resample(time=SeasonResampler(["DJF", "MAM", "JJA", "SON"])).sum()
+
+    # through groupby
+    da.groupby(time=SeasonResampler(["DJF", "MAM", "JJA", "SON"])).sum()
+
+    # skip september
+    da.groupby(time=SeasonResampler(["DJF", "MAM", "JJA", "ON"])).sum()
+
+    # overlapping
+    with pytest.raises(ValueError):
+        da.groupby(time=SeasonResampler(["DJFM", "MAMJ", "JJAS", "SOND"])).sum()
+
+
 # Possible property tests
 # 1. lambda x: x
 # 2. grouped-reduce on unique coords is identical to array