We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent 8d7d333 commit 538c79eCopy full SHA for 538c79e
src/nwp_consumer/internal/repositories/raw_repositories/ecmwf_realtime.py
@@ -276,7 +276,7 @@ def _convert(path: pathlib.Path) -> ResultE[list[xr.DataArray]]:
276
for i, ds in enumerate(dss):
277
# ECMWF Realtime provides all regions in one set of datasets,
278
# so distinguish via their coordinates
279
- step = np.timedelta64(ds.coords["step"].values, "h").astype(int)
+ step:int = np.timedelta64(ds.coords["step"].values, "h").astype(int)
280
is_relevant_dataset_predicate: bool = (
281
(expected_lons is not None and expected_lats is not None)
282
and (expected_lons[0] <= max(ds.coords["longitude"].values) <= expected_lons[-1])
0 commit comments