Tidy up

spacy_layout/layout.py

@@ -150,16 +150,14 @@ def _texts_to_doc(
     def _get_span_layout(
         self, item: DoclingItem, pages: dict[int, PageLayout]
     ) -> SpanLayout | None:
-        bounding_box = None
         if item.prov:
             prov = item.prov[0]
             page = pages[prov.page_no]
             if page.width and page.height:
                 x, y, width, height = get_bounding_box(prov.bbox, page.height)
-                bounding_box = SpanLayout(
+                return SpanLayout(
                     x=x, y=y, width=width, height=height, page_no=prov.page_no
                 )
-        return bounding_box
 
     def get_pages(self, doc: Doc) -> list[tuple[PageLayout, list[Span]]]:
         """Get all pages and their layout spans."""

spacy_layout/util.py

@@ -1,5 +1,5 @@
 import dataclasses
-from typing import TYPE_CHECKING, Callable
+from typing import TYPE_CHECKING, Any, Callable
 
 from docling_core.types.doc.base import CoordOrigin
 from pandas import DataFrame
@@ -13,7 +13,7 @@
 OBJ_TYPES = {"SpanLayout": SpanLayout, "DocLayout": DocLayout, "PageLayout": PageLayout}
 
 
-def encode_obj(obj, chain: Callable | None = None):
+def encode_obj(obj: Any, chain: Callable | None = None) -> Any:
     """Convert custom dataclass to dict for serialization."""
     if isinstance(obj, tuple(OBJ_TYPES.values())):
         result = dataclasses.asdict(obj)
@@ -22,22 +22,22 @@ def encode_obj(obj, chain: Callable | None = None):
     return obj if chain is None else chain(obj)
 
 
-def decode_obj(obj, chain: Callable | None = None):
+def decode_obj(obj: Any, chain: Callable | None = None) -> Any:
     """Load custom dataclass from serialized dict."""
     if isinstance(obj, dict) and obj.get(TYPE_ATTR) in OBJ_TYPES:
         obj_type = obj.pop(TYPE_ATTR)
         return OBJ_TYPES[obj_type].from_dict(obj)
     return obj if chain is None else chain(obj)
 
 
-def encode_df(obj, chain: Callable | None = None):
+def encode_df(obj: Any, chain: Callable | None = None) -> Any:
     """Convert pandas.DataFrame for serialization."""
     if isinstance(obj, DataFrame):
         return {"data": obj.to_dict(), TYPE_ATTR: "DataFrame"}
     return obj if chain is None else chain(obj)
 
 
-def decode_df(obj, chain: Callable | None = None):
+def decode_df(obj: Any, chain: Callable | None = None) -> Any:
     """Load pandas.DataFrame from serialized data."""
     if isinstance(obj, dict) and obj.get(TYPE_ATTR) == "DataFrame":
         return DataFrame(obj["data"])