Fixed some of the typing issues with encounter data

python/swiftest/swiftest/io.py

@@ -823,7 +823,7 @@ def process_netcdf_input(ds, param):
         ds = fix_types(ds,ftype=np.float32)
     ds = ds.where(ds.id >=0 ,drop=True)
     # Check if the name variable contains unique values. If so, make name the dimension instead of id
-    if len(np.unique(ds['name'])) == len(ds['name']):
+    if "name" not in ds.dims and len(np.unique(ds['name'])) == len(ds['name']):
         ds = ds.swap_dims({"id" : "name"})
         ds = ds.reset_coords("id")
 

python/swiftest/swiftest/simulation_class.py

@@ -2771,6 +2771,7 @@ def _preprocess(ds, param):
         partial_func = partial(_preprocess, param=self.param)
 
         self.enc = xr.open_mfdataset(enc_files,parallel=True,combine="nested", concat_dim="encounter",preprocess=partial_func)
+        self.enc = io.process_netcdf_input(self.enc, self.param)
 
         return