consistent naming

hydromt_wflow/wflow.py

@@ -5016,7 +5016,7 @@ def rivers(self):
 
     ## WFLOW specific modification (clip for now) methods
 
-    def clip_grid(self, region, buffer=0, align=None, crs=4326, reverse_clip=False):
+    def clip_grid(self, region, buffer=0, align=None, crs=4326, inverse_clip=False):
         """Clip grid to subbasin.
 
         Parameters
@@ -5029,8 +5029,8 @@ def clip_grid(self, region, buffer=0, align=None, crs=4326, reverse_clip=False):
             Align bounds of region to raster with resolution <align>, by default None
         crs: int, optional
             Default crs of the grid to clip.
-        reverse_clip: bool, optional
-            Flag to perform "reverse clipping": removing an upstream part of the model
+        inverse_clip: bool, optional
+            Flag to perform "inverse clipping": removing an upstream part of the model
             instead of the subbasin itself, by default False
 
         Returns
@@ -5058,7 +5058,7 @@ def clip_grid(self, region, buffer=0, align=None, crs=4326, reverse_clip=False):
                 **region,
             )
         # Remove upstream part from model
-        if reverse_clip:
+        if inverse_clip:
             geom = self.basins.overlay(geom, how="difference")
         # clip based on subbasin args, geom or bbox
         if geom is not None:

tests/test_model_class.py

@@ -178,13 +178,13 @@ def test_model_inverse_clip(tmpdir, example_wflow_model):
     example_wflow_model.read()
     # Get number of active pixels from full model
     n_pixels_full = example_wflow_model.grid["wflow_subcatch"].sum()
-    example_wflow_model.clip_grid(region, reverse_clip=True)
+    example_wflow_model.clip_grid(region, inverse_clip=True)
     # Get number of active pixels from inversely clipped model
     n_pixels_inverse_clipped = example_wflow_model.grid["wflow_subcatch"].sum()
 
     # Do clipping again, but normally
     example_wflow_model.read()
-    example_wflow_model.clip_grid(region, reverse_clip=False)
+    example_wflow_model.clip_grid(region, inverse_clip=False)
     # Get number of active pixels from clipped model
     n_pixels_clipped = example_wflow_model.grid["wflow_subcatch"].sum()