Auto-format code with black (#9474)

* Auto-format code with black

* Update spacy/pipeline/pipe.pyi

Co-authored-by: explosion-bot <explosion-bot@users.noreply.github.com>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

spacy/compat.py

@@ -25,7 +25,7 @@ except ImportError:
 if sys.version_info[:2] >= (3, 8):  # Python 3.8+
     from typing import Literal
 else:
-    from typing_extensions import Literal   # noqa: F401
+    from typing_extensions import Literal  # noqa: F401
 
 # Important note: The importlib_metadata "backport" includes functionality
 # that's not part of the built-in importlib.metadata. We should treat this

spacy/lang/ru/lemmatizer.py

@@ -56,7 +56,9 @@ class RussianLemmatizer(Lemmatizer):
         if not len(filtered_analyses):
             return [string.lower()]
         if morphology is None or (len(morphology) == 1 and POS in morphology):
-            return list(dict.fromkeys([analysis.normal_form for analysis in filtered_analyses]))
+            return list(
+                dict.fromkeys([analysis.normal_form for analysis in filtered_analyses])
+            )
         if univ_pos in ("ADJ", "DET", "NOUN", "PROPN"):
             features_to_compare = ["Case", "Number", "Gender"]
         elif univ_pos == "NUM":
@@ -87,7 +89,9 @@ class RussianLemmatizer(Lemmatizer):
                 filtered_analyses.append(analysis)
         if not len(filtered_analyses):
             return [string.lower()]
-        return list(dict.fromkeys([analysis.normal_form for analysis in filtered_analyses]))
+        return list(
+            dict.fromkeys([analysis.normal_form for analysis in filtered_analyses])
+        )
 
     def pymorphy2_lookup_lemmatize(self, token: Token) -> List[str]:
         string = token.text

spacy/pipeline/pipe.pyi

@@ -1,5 +1,6 @@
 from pathlib import Path
-from typing import Any, Callable, Dict, Iterable, Iterator, List, NoReturn, Optional, Tuple, Union
+from typing import Any, Callable, Dict, Iterable, Iterator, List
+from typing import NoReturn, Optional, Tuple, Union
 
 from ..tokens.doc import Doc
 
@@ -8,9 +9,14 @@ from ..language import Language
 
 class Pipe:
     def __call__(self, doc: Doc) -> Doc: ...
-    def pipe(self, stream: Iterable[Doc], *, batch_size: int = ...) -> Iterator[Doc]: ...
+    def pipe(
+        self, stream: Iterable[Doc], *, batch_size: int = ...
+    ) -> Iterator[Doc]: ...
     def initialize(
-        self, get_examples: Callable[[], Iterable[Example]], *, nlp: Language = ...,
+        self,
+        get_examples: Callable[[], Iterable[Example]],
+        *,
+        nlp: Language = ...,
     ) -> None: ...
     def score(
         self, examples: Iterable[Example], **kwargs: Any
@@ -26,7 +32,7 @@ class Pipe:
         self, error_handler: Callable[[str, "Pipe", List[Doc], Exception], NoReturn]
     ) -> None: ...
     def get_error_handler(
-        self
+        self,
     ) -> Callable[[str, "Pipe", List[Doc], Exception], NoReturn]: ...
 
 def deserialize_config(path: Path) -> Any: ...

spacy/tests/pipeline/test_pipe_factories.py

@@ -196,7 +196,11 @@ def test_pipe_class_component_model_custom():
     @Language.factory(name, default_config=default_config)
     class Component:
         def __init__(
-            self, nlp: Language, model: Model, name: str, value1: StrictInt = StrictInt(10)
+            self,
+            nlp: Language,
+            model: Model,
+            name: str,
+            value1: StrictInt = StrictInt(10),
         ):
             self.nlp = nlp
             self.model = model

spacy/vocab.pyi

@@ -22,7 +22,6 @@ class Vocab:
     strings: StringStore
     vectors: Vectors
     writing_system: Dict[str, Any]
-
     def __init__(
         self,
         lex_attr_getters: Optional[Dict[str, Callable[[str], Any]]] = ...,