Fixes problem with crop-tgrid

The function xr_crop_tgrid_data was failing tests. The issue has been identified and fixed. This implements the fix from !25.

pyicon/tests/conftest.py

@@ -6,20 +6,23 @@ import pyicon as pyic
 
 @pytest.fixture()
 def lazy_raw_grid():
-    path_data = Path(pyic.params['path_example_data'])
+    path_data = Path(pyic.params["path_example_data"])
     path_data.mkdir(parents=True, exist_ok=True)
     grid_path = path_data / "icon_grid_0014_R02B04_O.nc"
 
     if not grid_path.exists():
         import requests
+
         grid_download_link = "http://icon-downloads.mpimet.mpg.de/grids/public/mpim/0014/icon_grid_0014_R02B04_O.nc"
         try:
             r = requests.get(grid_download_link, allow_redirects=True)
             with open(grid_path, "wb") as grid_file:
                 grid_file.write(r.content)
         except:
-            raise FileNotFoundError("{grid_path} does not exist and unable to \
-                download it")
+            raise FileNotFoundError(
+                "{grid_path} does not exist and unable to \
+                download it"
+            )
 
     ds_grid = xr.open_dataset(grid_path, chunks="auto")
     return ds_grid
@@ -43,20 +46,23 @@ def eager_processed_tgrid(eager_raw_grid):
 
 @pytest.fixture()
 def lazy_examp_icon_dataset():
-    path_data = Path(pyic.params['path_example_data'])
+    path_data = Path(pyic.params["path_example_data"])
     path_data.mkdir(parents=True, exist_ok=True)
     fpath_data = path_data / "icon_example_data_r2b4.nc"
 
     if not fpath_data.exists():
         import requests
+
         download_link = "https://swift.dkrz.de/v1/dkrz_83018ad4-3c8d-4c7d-b684-7ba0742caa1a/pyicon_test_data/icon_example_data_r2b4.nc?temp_url_sig=03fb5d20a44832c7cf736ab83c1be3936364dbf6&temp_url_expires=2026-11-24T11:53:16Z"
         try:
             r = requests.get(download_link, allow_redirects=True, stream=True)
             with open(fpath_data, "wb") as fobj:
                 fobj.write(r.content)
         except:
-            raise FileNotFoundError("{fpath_data} does not exist and unable to \
-                download it")
+            raise FileNotFoundError(
+                "{fpath_data} does not exist and unable to \
+                download it"
+            )
 
     ds = xr.open_dataset(fpath_data, chunks="auto")
     return ds