Format

spacy/pipeline/attributeruler.py

@@ -24,8 +24,6 @@ TagMapType = Dict[str, Dict[Union[int, str], Union[int, str]]]
 MorphRulesType = Dict[str, Dict[str, Dict[Union[int, str], Union[int, str]]]]
 
 
-
-
 def attribute_ruler_score(examples: Iterable[Example], **kwargs) -> Dict[str, Any]:
     def morph_key_getter(token, attr):
         return getattr(token, attr).key

spacy/pipeline/edit_tree_lemmatizer.py

@@ -41,8 +41,6 @@ subword_features = true
 DEFAULT_EDIT_TREE_LEMMATIZER_MODEL = Config().from_str(default_model_config)["model"]
 
 
-
-
 class EditTreeLemmatizer(TrainablePipe):
     """
     Lemmatizer that lemmatizes each word using a predicted edit tree.

spacy/pipeline/entity_linker.py

@@ -42,8 +42,6 @@ subword_features = true
 DEFAULT_NEL_MODEL = Config().from_str(default_model_config)["model"]
 
 
-
-
 def entity_linker_score(examples, **kwargs):
     return Scorer.score_links(examples, negative_labels=[EntityLinker.NIL], **kwargs)
 

spacy/pipeline/entityruler.py

@@ -21,8 +21,6 @@ DEFAULT_ENT_ID_SEP = "||"
 PatternType = Dict[str, Union[str, List[Dict[str, Any]]]]
 
 
-
-
 def entity_ruler_score(examples, **kwargs):
     return get_ner_prf(examples)
 

spacy/pipeline/lemmatizer.py

@@ -18,8 +18,6 @@ from ..vocab import Vocab
 from .pipe import Pipe
 
 
-
-
 def lemmatizer_score(examples: Iterable[Example], **kwargs) -> Dict[str, Any]:
     return Scorer.score_token_attr(examples, "lemma", **kwargs)
 

spacy/pipeline/span_ruler.py

@@ -34,10 +34,6 @@ PatternType = Dict[str, Union[str, List[Dict[str, Any]]]]
 DEFAULT_SPANS_KEY = "ruler"
 
 
-
-
-
-
 def prioritize_new_ents_filter(
     entities: Iterable[Span], spans: Iterable[Span]
 ) -> List[Span]:

spacy/pipeline/spancat.py

@@ -159,10 +159,6 @@ def build_preset_spans_suggester(spans_key: str) -> Suggester:
     return partial(preset_spans_suggester, spans_key=spans_key)
 
 
-
-
-
-
 def spancat_score(examples: Iterable[Example], **kwargs) -> Dict[str, Any]:
     kwargs = dict(kwargs)
     attr_prefix = "spans_"

spacy/pipeline/tok2vec.py

@@ -26,8 +26,6 @@ subword_features = true
 DEFAULT_TOK2VEC_MODEL = Config().from_str(default_model_config)["model"]
 
 
-
-
 class Tok2Vec(TrainablePipe):
     """Apply a "token-to-vector" model and set its outputs in the doc.tensor
     attribute. This is mostly useful to share a single subnetwork between multiple

spacy/tests/test_factory_registrations.py

@@ -14,6 +14,7 @@ from spacy import util
 
 original_is_same_func = util.is_same_func
 
+
 def patched_is_same_func(func1, func2):
     # Handle Cython functions
     try:
@@ -22,17 +23,22 @@ def patched_is_same_func(func1, func2):
         # For Cython functions, just compare the string representation
         return str(func1) == str(func2)
 
+
 util.is_same_func = patched_is_same_func
 
+
 @pytest.fixture
 def reference_factory_registrations():
     """Load reference factory registrations from JSON file"""
     if not REFERENCE_FILE.exists():
-        pytest.fail(f"Reference file {REFERENCE_FILE} not found. Run export_factory_registrations.py first.")
+        pytest.fail(
+            f"Reference file {REFERENCE_FILE} not found. Run export_factory_registrations.py first."
+        )
 
     with REFERENCE_FILE.open("r") as f:
         return json.load(f)
 
+
 def test_factory_registrations_preserved(reference_factory_registrations):
     """Test that all factory registrations from the reference file are still present."""
     # Ensure the registry is populated
@@ -51,13 +57,17 @@ def test_factory_registrations_preserved(reference_factory_registrations):
             module_name = func.__module__
         except (AttributeError, TypeError):
             # For Cython functions, just use a placeholder
-            module_name = str(func).split()[1].split('.')[0]
+            module_name = str(func).split()[1].split(".")[0]
 
         try:
             func_name = func.__qualname__
         except (AttributeError, TypeError):
             # For Cython functions, use the function's name
-            func_name = func.__name__ if hasattr(func, "__name__") else str(func).split()[1].split('.')[-1]
+            func_name = (
+                func.__name__
+                if hasattr(func, "__name__")
+                else str(func).split()[1].split(".")[-1]
+            )
 
         current_registrations[name] = {
             "name": name,
@@ -66,11 +76,19 @@ def test_factory_registrations_preserved(reference_factory_registrations):
         }
 
     # Check for missing registrations
-    missing_registrations = set(reference_factory_registrations.keys()) - set(current_registrations.keys())
+    missing_registrations = set(reference_factory_registrations.keys()) - set(
-    assert not missing_registrations, f"Missing factory registrations: {', '.join(sorted(missing_registrations))}"
+        current_registrations.keys()
+    )
+    assert (
+        not missing_registrations
+    ), f"Missing factory registrations: {', '.join(sorted(missing_registrations))}"
 
     # Check for new registrations (not an error, but informative)
-    new_registrations = set(current_registrations.keys()) - set(reference_factory_registrations.keys())
+    new_registrations = set(current_registrations.keys()) - set(
+        reference_factory_registrations.keys()
+    )
     if new_registrations:
         # This is not an error, just informative
-        print(f"New factory registrations found: {', '.join(sorted(new_registrations))}")
+        print(
+            f"New factory registrations found: {', '.join(sorted(new_registrations))}"
+        )

spacy/tests/test_registry_population.py

@@ -7,6 +7,7 @@ from spacy.util import registry
 # Path to the reference registry contents, relative to this file
 REFERENCE_FILE = Path(__file__).parent / "registry_contents.json"
 
+
 @pytest.fixture
 def reference_registry():
     """Load reference registry contents from JSON file"""
@@ -16,6 +17,7 @@ def reference_registry():
     with REFERENCE_FILE.open("r") as f:
         return json.load(f)
 
+
 def test_registry_types(reference_registry):
     """Test that all registry types match the reference"""
     # Get current registry types
@@ -26,6 +28,7 @@ def test_registry_types(reference_registry):
     missing_types = expected_registry_types - current_registry_types
     assert not missing_types, f"Missing registry types: {', '.join(missing_types)}"
 
+
 def test_registry_entries(reference_registry):
     """Test that all registry entries are present"""
     # Check each registry's entries
@@ -45,4 +48,6 @@ def test_registry_entries(reference_registry):
         # Check for missing entries - these would indicate our new registry population
         # mechanism is missing something
         missing_entries = expected_set - current_set
-        assert not missing_entries, f"Registry '{registry_name}' missing entries: {', '.join(missing_entries)}"
+        assert (
+            not missing_entries
+        ), f"Registry '{registry_name}' missing entries: {', '.join(missing_entries)}"

spacy/util.py

@@ -136,6 +136,7 @@ class registry(thinc.registry):
     def ensure_populated(cls) -> None:
         """Ensure the registry is populated with all necessary components."""
         from .registrations import populate_registry, REGISTRY_POPULATED
+
         if not REGISTRY_POPULATED:
             populate_registry()