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Remove references to Python 2 / is_python2
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@ -8,7 +8,6 @@ from spacy.kb import KnowledgeBase, Writer
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from spacy.vectors import Vectors
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from spacy.language import Language
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from spacy.pipeline import Pipe
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from spacy.compat import is_python2
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from ..util import make_tempdir
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@ -97,14 +96,12 @@ def write_obj_and_catch_warnings(obj):
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return list(filter(lambda x: isinstance(x, ResourceWarning), warnings_list))
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@pytest.mark.skipif(is_python2, reason="ResourceWarning needs Python 3.x")
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@pytest.mark.parametrize("obj", objects_to_test[0], ids=objects_to_test[1])
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def test_to_disk_resource_warning(obj):
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warnings_list = write_obj_and_catch_warnings(obj)
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assert len(warnings_list) == 0
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@pytest.mark.skipif(is_python2, reason="ResourceWarning needs Python 3.x")
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def test_writer_with_path_py35():
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writer = None
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with make_tempdir() as d:
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@ -135,13 +132,11 @@ def test_save_and_load_knowledge_base():
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pytest.fail(str(e))
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if not is_python2:
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class TestToDiskResourceWarningUnittest(TestCase):
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def test_resource_warning(self):
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scenarios = zip(*objects_to_test)
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class TestToDiskResourceWarningUnittest(TestCase):
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def test_resource_warning(self):
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scenarios = zip(*objects_to_test)
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for scenario in scenarios:
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with self.subTest(msg=scenario[1]):
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warnings_list = write_obj_and_catch_warnings(scenario[0])
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self.assertEqual(len(warnings_list), 0)
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for scenario in scenarios:
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with self.subTest(msg=scenario[1]):
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warnings_list = write_obj_and_catch_warnings(scenario[0])
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self.assertEqual(len(warnings_list), 0)
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@ -2,7 +2,6 @@ import pytest
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import pickle
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from spacy.vocab import Vocab
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from spacy.strings import StringStore
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from spacy.compat import is_python2
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from ..util import make_tempdir
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@ -135,7 +134,6 @@ def test_serialize_stringstore_roundtrip_disk(strings1, strings2):
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assert list(sstore1_d) != list(sstore2_d)
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@pytest.mark.skipif(is_python2, reason="Dict order? Not sure if worth investigating")
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_pickle_vocab(strings, lex_attr):
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vocab = Vocab(strings=strings)
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@ -6,7 +6,6 @@ from spacy.vectors import Vectors
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from spacy.tokenizer import Tokenizer
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from spacy.strings import hash_string
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from spacy.tokens import Doc
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from spacy.compat import is_python2
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from ..util import add_vecs_to_vocab, get_cosine, make_tempdir
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@ -336,7 +335,6 @@ def test_vocab_prune_vectors():
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assert_allclose(similarity, get_cosine(data[0], data[2]), atol=1e-4, rtol=1e-3)
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@pytest.mark.skipif(is_python2, reason="Dict order? Not sure if worth investigating")
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def test_vectors_serialize():
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data = numpy.asarray([[4, 2, 2, 2], [4, 2, 2, 2], [1, 1, 1, 1]], dtype="f")
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v = Vectors(data=data, keys=["A", "B", "C"])
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