Fix data loading test

tests/test_mllam_dataset.py

@@ -7,8 +7,8 @@
 import pytest
 
 # First-party
-from neural_lam.config import Config
 from neural_lam.build_graph import main as build_graph
+from neural_lam.config import Config
 from neural_lam.train_model import main as train_model
 from neural_lam.utils import load_static_data
 from neural_lam.weather_dataset import WeatherDataset
@@ -91,14 +91,14 @@ def test_load_reduced_meps_dataset(meps_example_reduced_filepath):
     assert boundary_forcing.shape == (
         n_prediction_timesteps,
         n_boundary,
-        2 * n_grid + n_forcing_features, # TODO Adjust dimensionality
+        2 * n_state_features + n_forcing_features,  # TODO Adjust dimensionality
     )
 
-    static_data = load_static_data(dataset_name=dataset_name)
-
     required_props = {
-        "border_mask",
+        "boundary_mask",
+        "interior_mask",
         "grid_static_features",
+        "boundary_static_features",
         "step_diff_mean",
         "step_diff_std",
         "data_mean",
@@ -107,7 +107,9 @@ def test_load_reduced_meps_dataset(meps_example_reduced_filepath):
     }
 
     # check the sizes of the props
-    assert static_data["border_mask"].shape == (n_grid, 1)
+    # TODO Should this config not be for only interior?
+    nx, ny = config.values["grid_shape_state"]
+    assert n_grid + n_boundary == nx * ny
     assert static_data["grid_static_features"].shape == (
         n_grid,
         n_grid_static_features,