ensure no breaking change in kwargs

torchgeo/datamodules/geo.py

@@ -21,7 +21,7 @@
     RandomBatchGeoSampler,
 )
 from ..transforms import AugmentationSequential
-from .utils import MisconfigurationException, get_prefixed_kwargs
+from .utils import MisconfigurationException, split_kwargs
 
 
 class BaseDataModule(LightningDataModule):
@@ -53,7 +53,7 @@ def __init__(
         self.dataset_class = dataset_class
         self.batch_size = batch_size
         self.num_workers = num_workers
-        self.kwargs = kwargs
+        self.dataloader_kwargs, self.kwargs = split_kwargs('dataloader_', **kwargs)
 
         # Datasets
         self.dataset: Dataset[dict[str, Tensor]] | None = None
@@ -287,7 +287,7 @@ def _dataloader_factory(self, split: str) -> DataLoader[dict[str, Tensor]]:
             num_workers=self.num_workers,
             collate_fn=self.collate_fn,
             persistent_workers=self.num_workers > 0,
-            **get_prefixed_kwargs('dataloader_', **self.kwargs),
+            **self.dataloader_kwargs,
         )
 
     def train_dataloader(self) -> DataLoader[dict[str, Tensor]]:
@@ -432,7 +432,7 @@ def _dataloader_factory(self, split: str) -> DataLoader[dict[str, Tensor]]:
             num_workers=self.num_workers,
             collate_fn=self.collate_fn,
             persistent_workers=self.num_workers > 0,
-            **get_prefixed_kwargs('dataloader_', **self.kwargs),
+            **self.dataloader_kwargs,
         )
 
     def train_dataloader(self) -> DataLoader[dict[str, Tensor]]:

torchgeo/datamodules/utils.py

@@ -171,14 +171,27 @@ def group_shuffle_split(
     return train_idxs, test_idxs
 
 
-def get_prefixed_kwargs(prefix: str, **kwargs: Any) -> dict[str, Any]:
-    """Get kwargs with a specific prefix.
+def split_kwargs(*prefixes: str, **kwargs: Any) -> tuple[dict[str, Any], ...]:
+    """Split kwargs into prefixed and other kwargs.
 
     Args:
-        prefix: Prefix to filter kwargs by.
+        *prefixes: Prefixes to filter kwargs by.
         **kwargs: Keyword arguments to filter.
 
     Returns:
-        Dictionary of kwargs with the specified prefix.
+        Tuple of prefixed kwargs and other kwargs.
     """
-    return {k.replace(prefix, ''): v for k, v in kwargs.items() if k.startswith(prefix)}
+    prefixed_kwargs: list[dict[str, Any]] = [{} for _ in prefixes]
+    other_kwargs: dict[str, Any] = {}
+
+    for key, value in kwargs.items():
+        matched = False
+        for i, prefix in enumerate(prefixes):
+            if key.startswith(prefix):
+                prefixed_kwargs[i][key[len(prefix) :]] = value
+                matched = True
+                break
+        if not matched:
+            other_kwargs[key] = value
+
+    return *prefixed_kwargs, other_kwargs