Auto-format code with black (#10333)

Co-authored-by: explosion-bot <explosion-bot@users.noreply.github.com>

spacy/lang/fr/syntax_iterators.py

@@ -64,9 +64,7 @@ def noun_chunks(doclike: Union[Doc, Span]) -> Iterator[Tuple[int, int, int]]:
             prev_end = right_end.i
 
             left_index = word.left_edge.i
-            left_index = (
-                left_index + 1 if word.left_edge.pos == adp_pos else left_index
-            )
+            left_index = left_index + 1 if word.left_edge.pos == adp_pos else left_index
 
             yield left_index, right_end.i + 1, np_label
         elif word.dep == conj_label:

spacy/lang/ko/__init__.py

@@ -99,7 +99,7 @@ def try_mecab_import() -> None:
         return MeCab
     except ImportError:
         raise ImportError(
-            "The Korean tokenizer (\"spacy.ko.KoreanTokenizer\") requires "
+            'The Korean tokenizer ("spacy.ko.KoreanTokenizer") requires '
             "[mecab-ko](https://bitbucket.org/eunjeon/mecab-ko/src/master/README.md), "
             "[mecab-ko-dic](https://bitbucket.org/eunjeon/mecab-ko-dic), "
             "and [natto-py](https://github.com/buruzaemon/natto-py)"

spacy/pipeline/textcat.py

@@ -320,7 +320,7 @@ class TextCategorizer(TrainablePipe):
         self._validate_categories(examples)
         truths, not_missing = self._examples_to_truth(examples)
         not_missing = self.model.ops.asarray(not_missing)  # type: ignore
-        d_scores = (scores - truths)
+        d_scores = scores - truths
         d_scores *= not_missing
         mean_square_error = (d_scores**2).mean()
         return float(mean_square_error), d_scores

spacy/tests/lang/fi/test_noun_chunks.py

@@ -107,7 +107,17 @@ FI_NP_TEST_EXAMPLES = [
     (
         "New York tunnetaan kaupunkina, joka ei koskaan nuku",
         ["PROPN", "PROPN", "VERB", "NOUN", "PUNCT", "PRON", "AUX", "ADV", "VERB"],
-        ["obj", "flat:name", "ROOT", "obl", "punct", "nsubj", "aux", "advmod", "acl:relcl"],
+        [
+            "obj",
+            "flat:name",
+            "ROOT",
+            "obl",
+            "punct",
+            "nsubj",
+            "aux",
+            "advmod",
+            "acl:relcl",
+        ],
         [2, -1, 0, -1, 4, 3, 2, 1, -5],
         ["New York", "kaupunkina"],
     ),
@@ -130,7 +140,12 @@ FI_NP_TEST_EXAMPLES = [
         ["NOUN", "VERB", "NOUN", "NOUN", "ADJ", "NOUN"],
         ["nsubj", "ROOT", "obj", "obl", "amod", "obl"],
         [1, 0, -1, -1, 1, -3],
-        ["sairaanhoitopiirit", "leikkaustoimintaa", "alueellaan", "useammassa sairaalassa"],
+        [
+            "sairaanhoitopiirit",
+            "leikkaustoimintaa",
+            "alueellaan",
+            "useammassa sairaalassa",
+        ],
     ),
     (
         "Lain mukaan varhaiskasvatus on suunnitelmallista toimintaa",