core.missing typing

xarray/core/dataarray.py

@@ -3592,7 +3592,7 @@ def interpolate_na(
         """
         from xarray.core.missing import interp_na
 
-        return interp_na(
+        return interp_na(  # type: ignore[return-value]
             self,
             dim=dim,
             method=method,
@@ -3685,7 +3685,7 @@ def ffill(self, dim: Hashable, limit: int | None = None) -> Self:
         """
         from xarray.core.missing import ffill
 
-        return ffill(self, dim, limit=limit)
+        return ffill(self, dim, limit=limit)  # type: ignore[return-value]
 
     def bfill(self, dim: Hashable, limit: int | None = None) -> Self:
         """Fill NaN values by propagating values backward
@@ -3769,7 +3769,7 @@ def bfill(self, dim: Hashable, limit: int | None = None) -> Self:
         """
         from xarray.core.missing import bfill
 
-        return bfill(self, dim, limit=limit)
+        return bfill(self, dim, limit=limit)  # type: ignore[return-value]
 
     def combine_first(self, other: Self) -> Self:
         """Combine two DataArray objects, with union of coordinates.

xarray/core/dataset.py

@@ -4077,7 +4077,7 @@ def _validate_interp_indexer(x, new_x):
         # optimization: subset to coordinate range of the target index
         if method in ["linear", "nearest"]:
             for k, v in validated_indexers.items():
-                obj, newidx = missing._localize(obj, {k: v})
+                obj, newidx = missing._localize(obj, {k: v})  # type: ignore[assignment, arg-type]
                 validated_indexers[k] = newidx[k]
 
         # optimization: create dask coordinate arrays once per Dataset
@@ -6758,7 +6758,7 @@ def interpolate_na(
             max_gap=max_gap,
             **kwargs,
         )
-        return new
+        return new  # type: ignore[return-value]
 
     def ffill(self, dim: Hashable, limit: int | None = None) -> Self:
         """Fill NaN values by propagating values forward
@@ -6822,7 +6822,7 @@ def ffill(self, dim: Hashable, limit: int | None = None) -> Self:
         from xarray.core.missing import _apply_over_vars_with_dim, ffill
 
         new = _apply_over_vars_with_dim(ffill, self, dim=dim, limit=limit)
-        return new
+        return new  # type: ignore[return-value]
 
     def bfill(self, dim: Hashable, limit: int | None = None) -> Self:
         """Fill NaN values by propagating values backward
@@ -6887,7 +6887,7 @@ def bfill(self, dim: Hashable, limit: int | None = None) -> Self:
         from xarray.core.missing import _apply_over_vars_with_dim, bfill
 
         new = _apply_over_vars_with_dim(bfill, self, dim=dim, limit=limit)
-        return new
+        return new  # type: ignore[return-value]
 
     def combine_first(self, other: Self) -> Self:
         """Combine two Datasets, default to data_vars of self.