Silence test warnings

pyproject.toml

@@ -226,12 +226,14 @@ filterwarnings = [
     "ignore:Deprecated call to `pkg_resources.declare_namespace:DeprecationWarning",
     "ignore:pkg_resources is deprecated as an API.:DeprecationWarning:lightning_utilities.core.imports",
     "ignore:Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated:DeprecationWarning:jsonargparse",
+    "ignore:`ModuleAvailableCache` is a special case of `RequirementCache`.:DeprecationWarning:lightning.fabric.plugins.environments.xla",
     # https://github.com/pytorch/pytorch/issues/110549
     "ignore:allow_ops_in_compiled_graph failed to import torch:ImportWarning:einops",
     # https://github.com/rr-/docstring_parser/pull/82
     "ignore:ast.* is deprecated and will be removed in Python 3.14:DeprecationWarning:docstring_parser.attrdoc",
     # https://github.com/python/cpython/pull/102953
     "ignore:Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata:DeprecationWarning:torchgeo.datasets.utils",
+    "ignore:Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata:DeprecationWarning:torchvision.datasets.utils",
     # https://github.com/kornia/kornia/pull/2967
     "ignore:`torch.cuda.amp.custom_fwd\\(args...\\)` is deprecated.:FutureWarning:kornia.feature.lightglue",
     # https://github.com/kornia/kornia/pull/2981

torchgeo/datasets/digital_typhoon.py

@@ -5,7 +5,6 @@
 
 import glob
 import os
-import tarfile
 from collections.abc import Callable, Sequence
 from typing import Any, ClassVar, TypedDict
 
@@ -17,7 +16,13 @@
 
 from .errors import DatasetNotFoundError
 from .geo import NonGeoDataset
-from .utils import Path, download_url, lazy_import, percentile_normalization
+from .utils import (
+    Path,
+    download_url,
+    extract_archive,
+    lazy_import,
+    percentile_normalization,
+)
 
 
 class _SampleSequenceDict(TypedDict):
@@ -404,10 +409,7 @@ def _extract(self) -> None:
         """Extract the dataset."""
         # Extract tarball
         for suffix in self.md5sums.keys():
-            with tarfile.open(
-                os.path.join(self.root, f'{self.data_root}.tar.gz{suffix}')
-            ) as tar:
-                tar.extractall(path=self.root)
+            extract_archive(os.path.join(self.root, f'{self.data_root}.tar.gz{suffix}'))
 
     def plot(
         self,