diff --git a/spacy/pipeline/edit_tree_lemmatizer.py b/spacy/pipeline/edit_tree_lemmatizer.py
index 76b0e0bc9..12f9b73a3 100644
--- a/spacy/pipeline/edit_tree_lemmatizer.py
+++ b/spacy/pipeline/edit_tree_lemmatizer.py
@@ -148,9 +148,7 @@ class EditTreeLemmatizer(TrainablePipe):
         if not any(len(doc) for doc in docs):
             # Handle cases where there are no tokens in any docs.
             n_labels = len(self.cfg["labels"])
-            guesses: List[Ints2d] = [
-                self.model.ops.alloc2i(0, n_labels) for _ in docs
-            ]
+            guesses: List[Ints2d] = [self.model.ops.alloc2i(0, n_labels) for _ in docs]
             assert len(guesses) == n_docs
             return guesses
         scores = self.model.predict(docs)
diff --git a/spacy/schemas.py b/spacy/schemas.py
index ab71b2016..a67d96d9d 100644
--- a/spacy/schemas.py
+++ b/spacy/schemas.py
@@ -508,9 +508,9 @@ class DocJSONSchema(BaseModel):
         None, title="Indices of sentences' start and end indices"
     )
     text: StrictStr = Field(..., title="Document text")
-    spans: Optional[Dict[StrictStr, List[Dict[StrictStr, Union[StrictStr, StrictInt]]]]] = Field(
-        None, title="Span information - end/start indices, label, KB ID"
-    )
+    spans: Optional[
+        Dict[StrictStr, List[Dict[StrictStr, Union[StrictStr, StrictInt]]]]
+    ] = Field(None, title="Span information - end/start indices, label, KB ID")
     tokens: List[Dict[StrictStr, Union[StrictStr, StrictInt]]] = Field(
         ..., title="Token information - ID, start, annotations"
     )