From cc05d9dad6de5f74af13ba73d959d2ef80521385 Mon Sep 17 00:00:00 2001
From: Ines Montani <ines@ines.io>
Date: Thu, 24 Oct 2019 16:21:08 +0200
Subject: [PATCH] Auto-format [ci skip]

---
 spacy/cli/convert.py                          | 2 +-
 spacy/cli/converters/conll_ner2json.py        | 4 +++-
 spacy/tests/regression/test_issue3001-3500.py | 6 ++++--
 spacy/tests/test_gold.py                      | 6 +++---
 4 files changed, 11 insertions(+), 7 deletions(-)

diff --git a/spacy/cli/convert.py b/spacy/cli/convert.py
index 2d8661339..fa867fa04 100644
--- a/spacy/cli/convert.py
+++ b/spacy/cli/convert.py
@@ -57,7 +57,7 @@ def convert(
     is written to stdout, so you can pipe them forward to a JSON file:
     $ spacy convert some_file.conllu > some_file.json
     """
-    no_print = (output_dir == "-")
+    no_print = output_dir == "-"
     msg = Printer(no_print=no_print)
     input_path = Path(input_file)
     if file_type not in FILE_TYPES:
diff --git a/spacy/cli/converters/conll_ner2json.py b/spacy/cli/converters/conll_ner2json.py
index 3d0e4d308..46489ad7c 100644
--- a/spacy/cli/converters/conll_ner2json.py
+++ b/spacy/cli/converters/conll_ner2json.py
@@ -9,7 +9,9 @@ from ...tokens.doc import Doc
 from ...util import load_model
 
 
-def conll_ner2json(input_data, n_sents=10, seg_sents=False, model=None, no_print=False, **kwargs):
+def conll_ner2json(
+    input_data, n_sents=10, seg_sents=False, model=None, no_print=False, **kwargs
+):
     """
     Convert files in the CoNLL-2003 NER format and similar
     whitespace-separated columns into JSON format for use with train cli.
diff --git a/spacy/tests/regression/test_issue3001-3500.py b/spacy/tests/regression/test_issue3001-3500.py
index 8ed243051..63836e7bd 100644
--- a/spacy/tests/regression/test_issue3001-3500.py
+++ b/spacy/tests/regression/test_issue3001-3500.py
@@ -297,8 +297,10 @@ def test_issue3410():
 def test_issue3412():
     data = numpy.asarray([[0, 0, 0], [1, 2, 3], [9, 8, 7]], dtype="f")
     vectors = Vectors(data=data)
-    keys, best_rows, scores = vectors.most_similar(numpy.asarray([[9, 8, 7], [0, 0, 0]], dtype="f"))
-    assert(best_rows[0] == 2)
+    keys, best_rows, scores = vectors.most_similar(
+        numpy.asarray([[9, 8, 7], [0, 0, 0]], dtype="f")
+    )
+    assert best_rows[0] == 2
 
 
 def test_issue3447():
diff --git a/spacy/tests/test_gold.py b/spacy/tests/test_gold.py
index 01eaa51be..a7c29f8db 100644
--- a/spacy/tests/test_gold.py
+++ b/spacy/tests/test_gold.py
@@ -90,7 +90,7 @@ def test_gold_ner_missing_tags(en_tokenizer):
 def test_iob_to_biluo():
     good_iob = ["O", "O", "B-LOC", "I-LOC", "O", "B-PERSON"]
     good_biluo = ["O", "O", "B-LOC", "L-LOC", "O", "U-PERSON"]
-    bad_iob = ["O", "O", "\"", "B-LOC", "I-LOC"]
+    bad_iob = ["O", "O", '"', "B-LOC", "I-LOC"]
     converted_biluo = iob_to_biluo(good_iob)
     assert good_biluo == converted_biluo
     with pytest.raises(ValueError):
@@ -99,9 +99,9 @@ def test_iob_to_biluo():
 
 def test_roundtrip_docs_to_json():
     text = "I flew to Silicon Valley via London."
-    tags = ['PRP', 'VBD', 'IN', 'NNP', 'NNP', 'IN', 'NNP', '.']
+    tags = ["PRP", "VBD", "IN", "NNP", "NNP", "IN", "NNP", "."]
     heads = [1, 1, 1, 4, 2, 1, 5, 1]
-    deps = ['nsubj', 'ROOT', 'prep', 'compound', 'pobj', 'prep', 'pobj', 'punct']
+    deps = ["nsubj", "ROOT", "prep", "compound", "pobj", "prep", "pobj", "punct"]
     biluo_tags = ["O", "O", "O", "B-LOC", "L-LOC", "O", "U-GPE", "O"]
     cats = {"TRAVEL": 1.0, "BAKING": 0.0}
     nlp = English()