From 8a807ef1ddbea7e3d591dc39027f134689bb2d57 Mon Sep 17 00:00:00 2001
From: kadarakos <kadar.akos@gmail.com>
Date: Tue, 31 Jan 2023 16:30:12 +0000
Subject: [PATCH] black

---
 spacy/pipeline/spancat.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/spacy/pipeline/spancat.py b/spacy/pipeline/spancat.py
index ec1b252f5..6064c8ce2 100644
--- a/spacy/pipeline/spancat.py
+++ b/spacy/pipeline/spancat.py
@@ -71,7 +71,9 @@ depth = 4
 """
 
 DEFAULT_SPANCAT_MODEL = Config().from_str(spancat_default_config)["model"]
-DEFAULT_SPANCAT_SINGLELABEL_MODEL = Config().from_str(spancat_singlelabel_default_config)["model"]
+DEFAULT_SPANCAT_SINGLELABEL_MODEL = Config().from_str(
+    spancat_singlelabel_default_config
+)["model"]
 
 
 @runtime_checkable
@@ -191,7 +193,7 @@ def make_spancat(
         "negative_weight": 1.0,
         "suggester": {"@misc": "spacy.ngram_suggester.v1", "sizes": [1, 2, 3]},
         "scorer": {"@scorers": "spacy.spancat_scorer.v1"},
-        "allow_overlap": True
+        "allow_overlap": True,
     },
     default_score_weights={"spans_sc_f": 1.0, "spans_sc_p": 0.0, "spans_sc_r": 0.0},
 )
@@ -237,7 +239,7 @@ def make_spancat_singlelabel(
         allow_overlap=allow_overlap,
         name=name,
         scorer=scorer,
-        single_label=True
+        single_label=True,
     )
 
 
@@ -332,7 +334,7 @@ class SpanCategorizer(TrainablePipe):
             "threshold": threshold,
             "max_positive": max_positive,
             "negative_weight": negative_weight,
-            "allow_overlap": allow_overlap
+            "allow_overlap": allow_overlap,
         }
         self.vocab = vocab
         self.suggester = suggester
@@ -471,7 +473,7 @@ class SpanCategorizer(TrainablePipe):
                     indices_i,
                     scores[offset : offset + indices.lengths[i]],
                     labels,  # type: ignore[arg-type]
-                    allow_overlap
+                    allow_overlap,
                 )
             else:
                 doc.spans[self.key] = self._make_span_group_multilabel(
@@ -638,7 +640,7 @@ class SpanCategorizer(TrainablePipe):
         indices: Ints2d,
         scores: Floats2d,
         labels: List[str],
-        allow_overlap: bool = True
+        allow_overlap: bool = True,
     ) -> SpanGroup:
         spans = SpanGroup(doc, name=self.key)
         max_positive = self.cfg["max_positive"]