Fix tests

Author: VeckoTheGecko

tests/test_field.py

@@ -9,14 +9,15 @@
 from parcels._datasets.structured.generic import T as T_structured
 from parcels._datasets.structured.generic import datasets as datasets_structured
 from parcels._datasets.unstructured.generic import datasets as datasets_unstructured
+from parcels._python import NOTSET
 from parcels.interpolators import (
     UxConstantFaceConstantZC,
 )
 
 
 def test_field_init_param_types():
     data = datasets_structured["ds_2d_left"]
-    model = StructuredModelData.from_sgrid_conventions(data, mesh="flat")
+    model = StructuredModelData.from_sgrid_conventions(data, mesh="flat", vector_fields=NOTSET)
 
     with pytest.raises(TypeError, match="Expected a string for variable name, got int instead."):
         Field(name=123, model=model)
@@ -49,7 +50,7 @@ def test_field_init_fail_on_float_time_dim():
         ds["time"].attrs,
     )
 
-    model = StructuredModelData.from_sgrid_conventions(ds, mesh="flat")
+    model = StructuredModelData.from_sgrid_conventions(ds, mesh="flat", vector_fields=NOTSET)
     with pytest.raises(
         ValueError,
         match=r"Are you sure that the time dimension on the xarray dataset is stored as timedelta, datetime or cftime datetime objects\?",
@@ -61,7 +62,7 @@ def test_field_init_fail_on_float_time_dim():
 def test_field_time_interval():
     """Test that field.time_interval delegates correctly to model.time_interval."""
     data = datasets_structured["ds_2d_left"]
-    model = StructuredModelData.from_sgrid_conventions(data, mesh="flat")
+    model = StructuredModelData.from_sgrid_conventions(data, mesh="flat", vector_fields=NOTSET)
     field = Field(name="data_g", model=model)
     assert field.time_interval.left == np.datetime64("2000-01-01")
     assert field.time_interval.right == np.datetime64("2001-01-01")
@@ -74,7 +75,7 @@ def test_vectorfield_init_different_time_intervals():
 
 def test_field_invalid_interpolator():
     ds = datasets_structured["ds_2d_left"]
-    model = StructuredModelData.from_sgrid_conventions(ds, mesh="flat")
+    model = StructuredModelData.from_sgrid_conventions(ds, mesh="flat", vector_fields=NOTSET)
     field = Field(name="data_g", model=model)
 
     def not_a_scalar_interpolator(particle_positions, grid_positions, field):
@@ -87,7 +88,7 @@ def not_a_scalar_interpolator(particle_positions, grid_positions, field):
 
 def test_vectorfield_invalid_interpolator():
     ds = datasets_structured["ds_2d_left"]
-    model = StructuredModelData.from_sgrid_conventions(ds, mesh="flat")
+    model = StructuredModelData.from_sgrid_conventions(ds, mesh="flat", vector_fields=NOTSET)
     fields = {f.name: f for f in model.construct_fields()}
     U = fields["U_A_grid"]
     V = fields["V_A_grid"]