Remove sentinel2 __init__ & fix landsat test

torchgeo/datasets/landsat.py

@@ -74,7 +74,8 @@ def __init__(
         Raises:
             FileNotFoundError: if no files are found in ``root``
         """
-        self.filename_glob = self.filename_glob.format(bands[0])
+        if bands:
+            self.filename_glob = self.filename_glob.format(bands[0])
 
         super().__init__(root, crs, res, bands, transforms, cache)
 

torchgeo/datasets/sentinel.py

@@ -3,11 +3,10 @@
 
 """Sentinel datasets."""
 
-from typing import Any, Callable, Dict, Optional, Sequence
+from typing import Any, Dict, Optional
 
 import matplotlib.pyplot as plt
 import torch
-from rasterio.crs import CRS
 
 from .geo import RasterDataset
 
@@ -72,33 +71,6 @@ class Sentinel2(Sentinel):
 
     separate_files = True
 
-    def __init__(
-        self,
-        root: str = "data",
-        crs: Optional[CRS] = None,
-        res: Optional[float] = None,
-        bands: Optional[Sequence[str]] = None,
-        transforms: Optional[Callable[[Dict[str, Any]], Dict[str, Any]]] = None,
-        cache: bool = True,
-    ) -> None:
-        """Initialize a new Dataset instance.
-
-        Args:
-            root: root directory where dataset can be found
-            crs: :term:`coordinate reference system (CRS)` to warp to
-                (defaults to the CRS of the first file found)
-            res: resolution of the dataset in units of CRS
-                (defaults to the resolution of the first file found)
-            bands: bands to return (defaults to all bands)
-            transforms: a function/transform that takes an input sample
-                and returns a transformed version
-            cache: if True, cache file handle to speed up repeated sampling
-
-        Raises:
-            FileNotFoundError: if no files are found in ``root``
-        """
-        super().__init__(root, crs, res, bands, transforms, cache)
-
     def plot(
         self,
         sample: Dict[str, Any],