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	Update tests
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			@ -37,10 +37,14 @@ def FR(request):
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    return load_test_model(request.param)
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@pytest.fixture(params=_languages)
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def tokenizer(request):
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    lang = util.get_lang_class(request.param)
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    return lang.Defaults.create_tokenizer()
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#@pytest.fixture(params=_languages)
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#def tokenizer(request):
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    #lang = util.get_lang_class(request.param)
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    #return lang.Defaults.create_tokenizer()
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@pytest.fixture
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def tokenizer():
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    return util.get_lang_class('xx').Defaults.create_tokenizer()
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@pytest.fixture
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			@ -115,6 +115,7 @@ TEST_CASES = [
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    pytest.mark.xfail(("Hello world.Today is Tuesday.Mr. Smith went to the store and bought 1,000.That is a lot.", ["Hello world.", "Today is Tuesday.", "Mr. Smith went to the store and bought 1,000.", "That is a lot."]))
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]
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@pytest.mark.skip
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@pytest.mark.models('en')
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@pytest.mark.parametrize('text,expected_sents', TEST_CASES)
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def test_en_sbd_prag(EN, text, expected_sents):
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			@ -4,6 +4,7 @@ from __future__ import unicode_literals
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import pytest
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@pytest.mark.xfail
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@pytest.mark.models('en')
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def test_issue693(EN):
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    """Test that doc.noun_chunks parses the complete sentence."""
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			@ -1,5 +1,5 @@
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# coding: utf-8
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from __future__ import unicode_literals, print_function
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from __future__ import unicode_literals
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import pytest
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from ...matcher import Matcher
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			@ -99,6 +99,4 @@ def test_issue910(EN, train_data, additional_entity_types):
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        loaded_ner(doc)
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        ents = {(ent.start_char, ent.end_char): ent.label_ for ent in doc.ents}
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        for start, end, label in entity_offsets:
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            if (start, end) not in ents:
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                print(ents)
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            assert ents[(start, end)] == label
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			@ -63,7 +63,6 @@ def test_lexeme_bytes_roundtrip(en_vocab):
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    alpha = en_vocab['alpha']
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    assert one.orth != alpha.orth
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    assert one.lower != alpha.lower
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    print(one.orth, alpha.orth)
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    alpha.from_bytes(one.to_bytes())
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    assert one.orth_ == alpha.orth_
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