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Tidy up and auto-format

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This commit is contained in:
Ines Montani 2020-09-04 13:42:33 +02:00
parent df0b68f60e
commit 90043a6f9b
4 changed files with 4 additions and 13 deletions
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2
spacy/language.py
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@ -1376,8 +1376,6 @@ class Language:
docs = (self.make_doc(text) for text in texts) docs = (self.make_doc(text) for text in texts)
for pipe in pipes: for pipe in pipes:
docs = pipe(docs) docs = pipe(docs)
nr_seen = 0
for doc in docs: for doc in docs:
yield doc yield doc

10
spacy/tests/lang/en/test_text.py
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@ -56,15 +56,7 @@ def test_lex_attrs_like_number(en_tokenizer, text, match):
assert tokens[0].like_num == match assert tokens[0].like_num == match
@pytest.mark.parametrize( @pytest.mark.parametrize("word", ["third", "Millionth", "100th", "Hundredth"])
"word",
[
"third",
"Millionth",
"100th",
"Hundredth",
]
)
def test_en_lex_attrs_like_number_for_ordinal(word): def test_en_lex_attrs_like_number_for_ordinal(word):
assert like_num(word) assert like_num(word)

4
spacy/tests/pipeline/test_tagger.py
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@ -71,6 +71,6 @@ def test_overfitting_IO():
def test_tagger_requires_labels(): def test_tagger_requires_labels():
nlp = English() nlp = English()
tagger = nlp.add_pipe("tagger") nlp.add_pipe("tagger")
with pytest.raises(ValueError): with pytest.raises(ValueError):
optimizer = nlp.begin_training() nlp.begin_training()

1
spacy/tests/test_tok2vec.py
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@ -135,6 +135,7 @@ TRAIN_DATA = [
("Eat blue ham", {"tags": ["V", "J", "N"]}), ("Eat blue ham", {"tags": ["V", "J", "N"]}),
] ]
def test_tok2vec_listener(): def test_tok2vec_listener():
orig_config = Config().from_str(cfg_string) orig_config = Config().from_str(cfg_string)
nlp, config = util.load_model_from_config(orig_config, auto_fill=True, validate=True) nlp, config = util.load_model_from_config(orig_config, auto_fill=True, validate=True)