Fixes for the tests

pysteps/tests/test_blending_skill_scores.py

@@ -43,7 +43,7 @@
 )
 
 # Set the dummy observation and model values
-dummy_2d_array = np.array([[1, 2], [3, 4]])
+dummy_2d_array = np.array([[1.0, 2.0], [3.0, 4.0]])
 obs_8lev = np.repeat(dummy_2d_array[None, :, :], 8, axis=0)
 obs_6lev = np.repeat(dummy_2d_array[None, :, :], 6, axis=0)
 obs_9lev = np.repeat(dummy_2d_array[None, :, :], 9, axis=0)
@@ -213,8 +213,10 @@ def test_blending_skill_scores(
     extrapolation field.
 
     """
+    domain_mask = np.full(obs[0, :, :].shape, False, dtype=bool)
+
     # Calculate the spatial correlation of the given model field
-    correlations_t0 = np.array(spatial_correlation(obs, mod))
+    correlations_t0 = np.array(spatial_correlation(obs, mod, domain_mask))
 
     # Check if the field has the same number of cascade levels as the model
     # field and as the given n_cascade_levels

pysteps/tests/test_io_bom_nwp.py

@@ -36,7 +36,7 @@ def test_io_import_bom_nwp_xarray_shape():
     ("transform", None, None),
     ("zerovalue", 0.0, 0.1),
     ("unit", "mm", None),
-    ("accutime", np.timedelta64(10, "m"), None),
+    ("accutime", 10, None),
     ("zr_a", None, None),
     ("zr_b", None, None),
     ("xpixelsize", 500.0, 0.1),

pysteps/tests/test_io_knmi_nwp.py

@@ -36,7 +36,7 @@ def test_io_import_knmi_nwp_xarray_shape():
     ("transform", None, None),
     ("zerovalue", 0.0, 0.1),
     ("unit", "mm", None),
-    ("accutime", np.timedelta64(60, "m"), None),
+    ("accutime", 60, None),
     ("zr_a", None, None),
     ("zr_b", None, None),
     ("xpixelsize", 0.037, 0.0001),

pysteps/tests/test_io_rmi_nwp.py

@@ -39,7 +39,7 @@ def test_io_import_rmi_nwp_xarray_shape():
     ("transform", None, None),
     ("zerovalue", 0.0, 0.1),
     ("unit", "mm", None),
-    ("accutime", np.timedelta64(5, "m"), None),
+    ("accutime", 5, None),
     ("zr_a", None, None),
     ("zr_b", None, None),
     ("xpixelsize", 1300.0, 0.1),