Tidy up and auto-format [ci skip]

spacy/cli/project/clone.py

@@ -2,7 +2,6 @@ from typing import Optional
 from pathlib import Path
 from wasabi import msg
 import subprocess
-import shutil
 import re
 
 from ... import about

spacy/gold/loggers.py

@@ -9,7 +9,7 @@ from wasabi import msg
 @registry.loggers("spacy.ConsoleLogger.v1")
 def console_logger():
     def setup_printer(
-        nlp: "Language"
+        nlp: "Language",
     ) -> Tuple[Callable[[Dict[str, Any]], None], Callable]:
         score_cols = list(nlp.config["training"]["score_weights"])
         score_widths = [max(len(col), 6) for col in score_cols]
@@ -73,7 +73,7 @@ def wandb_logger(project_name: str, remove_config_values: List[str] = []):
     console = console_logger()
 
     def setup_logger(
-        nlp: "Language"
+        nlp: "Language",
     ) -> Tuple[Callable[[Dict[str, Any]], None], Callable]:
         config = nlp.config.interpolate()
         config_dot = util.dict_to_dot(config)

spacy/pipeline/attributeruler.py

@@ -242,6 +242,7 @@ class AttributeRuler(Pipe):
 
         DOCS: https://spacy.io/api/attributeruler#from_bytes
         """
+
         def load_patterns(b):
             self.add_patterns(srsly.msgpack_loads(b))
 
@@ -275,6 +276,7 @@ class AttributeRuler(Pipe):
         exclude (Iterable[str]): String names of serialization fields to exclude.
         DOCS: https://spacy.io/api/attributeruler#from_disk
         """
+
         def load_patterns(p):
             self.add_patterns(srsly.read_msgpack(p))
 

spacy/pipeline/entity_linker.py

@@ -2,7 +2,7 @@ from typing import Optional, Iterable, Callable, Dict, Iterator, Union, List, Tu
 from pathlib import Path
 import srsly
 import random
-from thinc.api import CosineDistance, get_array_module, Model, Optimizer, Config
+from thinc.api import CosineDistance, Model, Optimizer, Config
 from thinc.api import set_dropout_rate
 import warnings
 

spacy/tests/pipeline/test_attributeruler.py

@@ -104,7 +104,11 @@ def test_attributeruler_score(nlp, pattern_dicts):
     assert doc[3].lemma_ == "cat"
     assert doc[3].morph_ == "Case=Nom|Number=Sing"
 
-    dev_examples = [Example.from_dict(nlp.make_doc("This is a test."), {"lemmas": ["this", "is", "a", "cat", "."]})]
+    dev_examples = [
+        Example.from_dict(
+            nlp.make_doc("This is a test."), {"lemmas": ["this", "is", "a", "cat", "."]}
+        )
+    ]
     scores = nlp.evaluate(dev_examples)
     # "cat" is the only correct lemma
     assert scores["lemma_acc"] == pytest.approx(0.2)
@@ -115,20 +119,14 @@ def test_attributeruler_score(nlp, pattern_dicts):
 def test_attributeruler_rule_order(nlp):
     a = AttributeRuler(nlp.vocab)
     patterns = [
-        {
-            "patterns": [[{"TAG": "VBZ"}]],
-            "attrs": {"POS": "VERB"},
-        },
-        {
-            "patterns": [[{"TAG": "VBZ"}]],
-            "attrs": {"POS": "NOUN"},
-        },
+        {"patterns": [[{"TAG": "VBZ"}]], "attrs": {"POS": "VERB"}},
+        {"patterns": [[{"TAG": "VBZ"}]], "attrs": {"POS": "NOUN"}},
     ]
     a.add_patterns(patterns)
     doc = get_doc(
         nlp.vocab,
         words=["This", "is", "a", "test", "."],
-        tags=["DT", "VBZ", "DT", "NN", "."]
+        tags=["DT", "VBZ", "DT", "NN", "."],
     )
     doc = a(doc)
     assert doc[1].pos_ == "NOUN"

spacy/tests/test_cli.py

@@ -373,8 +373,7 @@ def test_parse_config_overrides(args, expected):
 
 
 @pytest.mark.parametrize(
-    "args",
-    [["--foo"], ["--x.foo", "bar", "--baz"]],
+    "args", [["--foo"], ["--x.foo", "bar", "--baz"]],
 )
 def test_parse_config_overrides_invalid(args):
     with pytest.raises(NoSuchOption):
@@ -382,8 +381,7 @@ def test_parse_config_overrides_invalid(args):
 
 
 @pytest.mark.parametrize(
-    "args",
-    [["--x.foo", "bar", "baz"], ["x.foo"]],
+    "args", [["--x.foo", "bar", "baz"], ["x.foo"]],
 )
 def test_parse_config_overrides_invalid_2(args):
     with pytest.raises(SystemExit):