set limited_area correctly for experiments

ci/benchmark.yml

@@ -8,7 +8,8 @@ benchmark_model_stencils:
   extends: .test_template
   stage: benchmark
   script:
-    - tox -r -e run_benchmarks -c model/ -- --backend=$BACKEND --grid=$GRID --verbose
+    # force execution of tests where validation is expected to fail, because the reason for failure is wrong numpy reference
+    - tox -r -e run_benchmarks -c model/ -- --backend=$BACKEND --grid=$GRID --runxfail --verbose
   parallel:
     matrix:
       - BACKEND: [gtfn_cpu, gtfn_gpu]

ci/dace.yml

@@ -27,7 +27,8 @@ benchmark_model_stencils:
 # TODO(edopao): wait for next dace release to fix the inline_sdfgs simplify step
 #   - pip install dace==$DACE_VERSION
     - pip install git+https://github.com/spcl/dace.git@$DACE_VERSION
-    - tox -r -e run_benchmarks -c model/ -- --backend=$BACKEND --grid=$GRID --verbose
+    # force execution of tests where validation is expected to fail, because the reason for failure is wrong numpy reference
+    - tox -r -e run_benchmarks -c model/ -- --backend=$BACKEND --grid=$GRID --runxfail --verbose
   parallel:
     matrix:
     - BACKEND: [dace_cpu, dace_gpu]

model/atmosphere/dycore/tests/dycore_stencil_tests/test_fused_velocity_advection_stencil_1_to_7.py

@@ -205,7 +205,7 @@ def reference(
 
     @pytest.fixture
     def input_data(self, grid):
-        pytest.skip(
+        pytest.xfail(
             "Verification of z_v_grad_w currently not working, because numpy version incorrect."
         )
         if isinstance(grid, IconGrid) and grid.limited_area:

model/atmosphere/dycore/tests/dycore_stencil_tests/test_fused_velocity_advection_stencil_8_to_13.py

@@ -103,7 +103,7 @@ def reference(
 
     @pytest.fixture
     def input_data(self, grid):
-        pytest.skip(
+        pytest.xfail(
             "Verification of w_concorr_c currently not working, because numpy version is incorrect."
         )
         z_kin_hor_e = random_field(grid, EdgeDim, KDim)

model/common/src/icon4py/model/common/grid/grid_manager.py

@@ -240,9 +240,9 @@ def __init__(
         self._grid: Optional[IconGrid] = None
         self._file_name = grid_file
 
-    def __call__(self, on_gpu: bool = False):
+    def __call__(self, on_gpu: bool = False, limited_area=True):
         dataset = self._read_gridfile(self._file_name)
-        _, grid = self._constuct_grid(dataset, on_gpu=on_gpu)
+        _, grid = self._constuct_grid(dataset, on_gpu=on_gpu, limited_area=limited_area)
         self._grid = grid
 
     def _read_gridfile(self, fname: str) -> Dataset:
@@ -326,9 +326,11 @@ def _get_index(self, dim: Dimension, start_marker: int, index_dict):
             self._log.error(msg)
             raise IconGridError(msg) from err
 
-    def _constuct_grid(self, dataset: Dataset, on_gpu: bool) -> tuple[UUID, IconGrid]:
+    def _constuct_grid(
+        self, dataset: Dataset, on_gpu: bool, limited_area: bool
+    ) -> tuple[UUID, IconGrid]:
         grid_id = UUID(dataset.getncattr(GridFile.PropertyName.GRID_ID))
-        return grid_id, self._from_grid_dataset(dataset, on_gpu=on_gpu)
+        return grid_id, self._from_grid_dataset(dataset, on_gpu=on_gpu, limited_area=limited_area)
 
     def get_size(self, dim: Dimension):
         if dim == VertexDim:
@@ -354,7 +356,7 @@ def _get_index_field(
             field = field + self._transformation.get_offset_for_index_field(field)
         return field
 
-    def _from_grid_dataset(self, dataset: Dataset, on_gpu: bool) -> IconGrid:
+    def _from_grid_dataset(self, dataset: Dataset, on_gpu: bool, limited_area=True) -> IconGrid:
         reader = GridFile(dataset)
         num_cells = reader.dimension(GridFile.DimensionName.CELL_NAME)
         num_edges = reader.dimension(GridFile.DimensionName.EDGE_NAME)
@@ -386,7 +388,10 @@ def _from_grid_dataset(self, dataset: Dataset, on_gpu: bool) -> IconGrid:
         ) = self._read_grid_refinement_information(dataset)
 
         config = GridConfig(
-            horizontal_config=grid_size, vertical_config=self._config, on_gpu=on_gpu
+            horizontal_config=grid_size,
+            vertical_config=self._config,
+            on_gpu=on_gpu,
+            limited_area=limited_area,
         )
         icon_grid = (
             IconGrid()

model/common/src/icon4py/model/common/test_utils/grid_utils.py

@@ -39,19 +39,23 @@ def get_icon_grid_from_gridfile(experiment: str, on_gpu: bool = False) -> IconGr
             "icon_grid_0013_R02B04_R.nc",
             num_levels=GLOBAL_NUM_LEVELS,
             on_gpu=on_gpu,
+            limited_area=False,
         )
     elif experiment == REGIONAL_EXPERIMENT:
         return _load_from_gridfile(
             REGIONAL_EXPERIMENT,
             "grid.nc",
             num_levels=MCH_CH_R04B09_LEVELS,
             on_gpu=on_gpu,
+            limited_area=True,
         )
     else:
         raise ValueError(f"Unknown experiment: {experiment}")
 
 
-def _load_from_gridfile(file_path: str, filename: str, num_levels: int, on_gpu: bool) -> IconGrid:
+def _load_from_gridfile(
+    file_path: str, filename: str, num_levels: int, on_gpu: bool, limited_area: bool
+) -> IconGrid:
     grid_file = GRIDS_PATH.joinpath(file_path, filename)
     if not grid_file.exists():
         from icon4py.model.common.test_utils.data_handling import download_and_extract
@@ -66,7 +70,7 @@ def _load_from_gridfile(file_path: str, filename: str, num_levels: int, on_gpu:
         str(grid_file),
         VerticalGridSize(num_levels),
     )
-    gm(on_gpu=on_gpu)
+    gm(on_gpu=on_gpu, limited_area=limited_area)
     return gm.get_grid()
 
 

spack/gt4py-stable/spack.yaml

@@ -1,10 +1,10 @@
 spack:
     specs:
-        - py-icon4py@main%[email protected] ^[email protected].5%[email protected]
+        - py-icon4py@main%[email protected] ^[email protected].6%[email protected]
     view: false
     concretizer:
         unify: true
     develop:
         py-icon4py:
-            spec: py-icon4py@main%[email protected] ^[email protected].5%[email protected]
+            spec: py-icon4py@main%[email protected] ^[email protected].6%[email protected]
             path: ../../