Fix formatting leftovers (apache#27750)

PR 27540 left some formattng issues which weren't caught

airflow/models/xcom.py

@@ -629,7 +629,7 @@ def serialize_value(
                 " then you need to enable pickle support for XCom"
                 " in your airflow config or make sure to decorate your"
                 " object with attr.",
-                ex
+                ex,
             )
             raise
 

docs/apache-airflow/concepts/taskflow.rst

@@ -104,39 +104,42 @@ a ``Dataset``, which is ``@attr.define`` decorated, together with TaskFlow.
     from airflow import Dataset
     from airflow.decorators import dag, task
 
-    SRC = Dataset("https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/global/time-series/globe/land_ocean/ytd/12/1880-2022.json")
+    SRC = Dataset(
+        "https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/global/time-series/globe/land_ocean/ytd/12/1880-2022.json"
+    )
     now = pendulum.now()
 
 
     @dag(start_date=now, schedule="@daily", catchup=False)
     def etl():
-      @task()
-      def retrieve(src: Dataset) -> dict:
-        resp = requests.get(url=src.uri)
-        data = resp.json()
-        return data["data"]
-
-      @task()
-      def to_fahrenheit(temps: dict[int, float]) -> dict[int, float]:
-        ret: dict[int, float] = {}
-        for year, celsius in temps.items():
-          ret[year] = float(celsius)*1.8+32
-
-        return ret
-
-      @task()
-      def load(fahrenheit: dict[int, float]) -> Dataset:
-        filename = "/tmp/fahrenheit.json"
-        s = json.dumps(fahrenheit)
-        f = open(filename, "w")
-        f.write(s)
-        f.close()
-
-        return Dataset(f"file:///{filename}")
-
-      data = retrieve(SRC)
-      fahrenheit = to_fahrenheit(data)
-      load(fahrenheit)
+        @task()
+        def retrieve(src: Dataset) -> dict:
+            resp = requests.get(url=src.uri)
+            data = resp.json()
+            return data["data"]
+
+        @task()
+        def to_fahrenheit(temps: dict[int, float]) -> dict[int, float]:
+            ret: dict[int, float] = {}
+            for year, celsius in temps.items():
+                ret[year] = float(celsius) * 1.8 + 32
+
+            return ret
+
+        @task()
+        def load(fahrenheit: dict[int, float]) -> Dataset:
+            filename = "/tmp/fahrenheit.json"
+            s = json.dumps(fahrenheit)
+            f = open(filename, "w")
+            f.write(s)
+            f.close()
+
+            return Dataset(f"file:///{filename}")
+
+        data = retrieve(SRC)
+        fahrenheit = to_fahrenheit(data)
+        load(fahrenheit)
+
 
     etl()