update test

test/test_helpers/test_statistics.py

@@ -250,13 +250,20 @@ class TestCreateBootstrapRealizations:
     def test_create_n_bootstrap_realizations(self, data):
         boot_data = create_n_bootstrap_realizations(data, dim_name_time='time', dim_name_model='model',
                                                     n_boots=1000, dim_name_boots='boots')
-        assert isinstance(boot_data, xr.DataArray)
-        assert boot_data.shape == (1000, 2)
+        assert isinstance(boot_data, dict)
+        assert "" in boot_data.keys()
+        assert isinstance(boot_data[""], xr.DataArray)
+        assert boot_data[""].shape == (1000, 2)
 
         boot_data = create_n_bootstrap_realizations(data.sel(model='m1').squeeze(), dim_name_time='time',
                                                     dim_name_model='model', n_boots=1000, dim_name_boots='boots')
-        assert isinstance(boot_data, xr.DataArray)
-        assert boot_data.shape == (1000,)
+        assert isinstance(boot_data[""], xr.DataArray)
+        assert boot_data[""].shape == (1000,)
+
+        data["time"] = pd.date_range("2022-01", periods=10, freq="1m")
+        boot_data = create_n_bootstrap_realizations(data, dim_name_time='time', dim_name_model='model',
+                                                    n_boots=100, dim_name_boots='boots', seasons=["JJA", "DJF"])
+        assert sorted(list(boot_data.keys())) == sorted(["", "JJA", "DJF"])
 
 
 class TestMeanSquaredError: