Parametrize pytest

docs/key_functionality.rst

@@ -155,8 +155,8 @@ and continue loading the SDF file as normal. This file contains the initial
 simulation setup information which is not present in SDF outputs. By loading
 this file, you can access these parameters as part of your dataset's metadata.
 To do this, use the ``deck_path`` parameter when loading an SDF file with
-`xarray.open_dataset`, `sdf_xarray.open_datatree`, `sdf_xarray.open_mfdataset`
-or `sdf_xarray.open_mfdatatree`.
+`sdf_xarray.open_dataset`, `xarray.open_dataset`, `sdf_xarray.open_datatree`,
+`xarray.open_datatree`, `sdf_xarray.open_mfdataset` or `sdf_xarray.open_mfdatatree`.
 
 There are a few ways you can load an input deck:
 

src/sdf_xarray/__init__.py

@@ -268,7 +268,7 @@ def open_dataset(
 
 
 def open_mfdataset(
-    path_glob: Iterable | str | Path | Callable[..., Iterable[Path]],
+    paths: Iterable | str | Path | Callable[..., Iterable[Path]],
     *,
     separate_times: bool = False,
     keep_particles: bool = False,
@@ -301,7 +301,7 @@ def open_mfdataset(
 
     Parameters
     ----------
-    path_glob
+    paths
         List of filenames or string glob pattern
     separate_times
         If ``True``, create separate time dimensions for variables defined at
@@ -326,22 +326,22 @@ def open_mfdataset(
         from a relative or absolute file path. See :ref:`loading-input-deck` for details.
     """
 
-    path_glob = _resolve_glob(path_glob)
+    paths = _resolve_glob(paths)
 
     if not separate_times:
         return combine_datasets(
-            path_glob,
+            paths,
             data_vars=data_vars,
             keep_particles=keep_particles,
             probe_names=probe_names,
             chunks=chunks,
             deck_path=deck_path,
         )
 
-    _, var_times_map = make_time_dims(path_glob)
+    _, var_times_map = make_time_dims(paths)
 
     all_dfs = []
-    for f in path_glob:
+    for f in paths:
         ds = xr.open_dataset(
             f,
             keep_particles=keep_particles,
@@ -451,7 +451,7 @@ def open_datatree(
 
 
 def open_mfdatatree(
-    path_glob: Iterable | str | Path | Callable[..., Iterable[Path]],
+    paths: Iterable | str | Path | Callable[..., Iterable[Path]],
     *,
     separate_times: bool = False,
     keep_particles: bool = False,
@@ -512,7 +512,7 @@ def open_mfdatatree(
 
     Parameters
     ----------
-    path_glob
+    paths
         List of filenames or string glob pattern
     separate_times
         If ``True``, create separate time dimensions for variables defined at
@@ -536,7 +536,7 @@ def open_mfdatatree(
     """
     # First, combine the datasets as usual
     combined_ds = open_mfdataset(
-        path_glob,
+        paths,
         separate_times=separate_times,
         keep_particles=keep_particles,
         probe_names=probe_names,