From 1dacecbbfbf1648ec0d6a44d0c53d722de0c2c40 Mon Sep 17 00:00:00 2001
From: Paul O'Leary McCann <polm@dampfkraft.com>
Date: Sun, 3 Jul 2022 14:49:02 +0900
Subject: [PATCH] Run black

---
 spacy/tests/pipeline/test_coref.py | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/spacy/tests/pipeline/test_coref.py b/spacy/tests/pipeline/test_coref.py
index 73c09b48e..4b8ca1653 100644
--- a/spacy/tests/pipeline/test_coref.py
+++ b/spacy/tests/pipeline/test_coref.py
@@ -34,17 +34,19 @@ TRAIN_DATA = [
 ]
 # fmt: on
 
+
 def spans2ints(doc):
-    """Convert doc.spans to nested list of ints for comparison. 
+    """Convert doc.spans to nested list of ints for comparison.
     The ints are token indices.
 
     This is useful for checking consistency of predictions.
     """
     out = []
     for key, cluster in doc.spans.items():
-        out.append( [(ss.start, ss.end) for ss in cluster] )
+        out.append([(ss.start, ss.end) for ss in cluster])
     return out
 
+
 @pytest.fixture
 def nlp():
     return English()
@@ -70,6 +72,7 @@ def test_not_initialized(nlp):
     with pytest.raises(ValueError, match="E109"):
         nlp(text)
 
+
 @pytest.mark.skipif(not has_torch, reason="Torch not available")
 def test_initialized(nlp):
     nlp.add_pipe("coref")
@@ -148,6 +151,7 @@ def test_overfitting_IO(nlp):
     assert spans2ints(docs1[0]) == spans2ints(docs2[0])
     assert spans2ints(docs1[0]) == spans2ints(docs3[0])
 
+
 @pytest.mark.skipif(not has_torch, reason="Torch not available")
 def test_tokenization_mismatch(nlp):
     train_examples = []
@@ -158,7 +162,7 @@ def test_tokenization_mismatch(nlp):
         for key, cluster in ref.spans.items():
             char_spans[key] = []
             for span in cluster:
-                char_spans[key].append( (span[0].idx, span[-1].idx + len(span[-1])) )
+                char_spans[key].append((span[0].idx, span[-1].idx + len(span[-1])))
         with ref.retokenize() as retokenizer:
             # merge "many friends"
             retokenizer.merge(ref[5:7])
@@ -203,6 +207,7 @@ def test_tokenization_mismatch(nlp):
     assert spans2ints(docs1[0]) == spans2ints(docs2[0])
     assert spans2ints(docs1[0]) == spans2ints(docs3[0])
 
+
 @pytest.mark.skipif(not has_torch, reason="Torch not available")
 def test_crossing_spans():
     starts = [6, 10, 0, 1, 0, 1, 0, 1, 2, 2, 2]
@@ -215,6 +220,7 @@ def test_crossing_spans():
     guess = sorted(guess)
     assert gold == guess
 
+
 @pytest.mark.skipif(not has_torch, reason="Torch not available")
 def test_sentence_map(snlp):
     doc = snlp("I like text. This is text.")