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Disable some tests to figure out why CI fails

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This commit is contained in:
Matthew Honnibal 2018-05-10 16:42:01 +02:00
parent 902a172cb7
commit 887631ca25
1 changed files with 57 additions and 57 deletions
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114
spacy/tests/test_misc.py
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@ -34,60 +34,60 @@ def test_util_get_package_path(package):
assert isinstance(path, Path)
@pytest.mark.xfail
def test_displacy_parse_ents(en_vocab):
"""Test that named entities on a Doc are converted into displaCy's format."""
doc = get_doc(en_vocab, words=["But", "Google", "is", "starting", "from", "behind"])
doc.ents = [Span(doc, 1, 2, label=doc.vocab.strings[u'ORG'])]
ents = parse_ents(doc)
assert isinstance(ents, dict)
assert ents['text'] == 'But Google is starting from behind '
assert ents['ents'] == [{'start': 4, 'end': 10, 'label': 'ORG'}]
@pytest.mark.xfail
def test_displacy_parse_deps(en_vocab):
"""Test that deps and tags on a Doc are converted into displaCy's format."""
words = ["This", "is", "a", "sentence"]
heads = [1, 0, 1, -2]
pos = ['DET', 'VERB', 'DET', 'NOUN']
tags = ['DT', 'VBZ', 'DT', 'NN']
deps = ['nsubj', 'ROOT', 'det', 'attr']
doc = get_doc(en_vocab, words=words, heads=heads, pos=pos, tags=tags,
deps=deps)
deps = parse_deps(doc)
assert isinstance(deps, dict)
assert deps['words'] == [{'text': 'This', 'tag': 'DET'},
{'text': 'is', 'tag': 'VERB'},
{'text': 'a', 'tag': 'DET'},
{'text': 'sentence', 'tag': 'NOUN'}]
assert deps['arcs'] == [{'start': 0, 'end': 1, 'label': 'nsubj', 'dir': 'left'},
{'start': 2, 'end': 3, 'label': 'det', 'dir': 'left'},
{'start': 1, 'end': 3, 'label': 'attr', 'dir': 'right'}]
@pytest.mark.xfail
def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
model = PrecomputableAffine(nO=nO, nI=nI, nF=nF, nP=nP)
assert model.W.shape == (nF, nO, nP, nI)
tensor = model.ops.allocate((10, nI))
Y, get_dX = model.begin_update(tensor)
assert Y.shape == (tensor.shape[0]+1, nF, nO, nP)
assert model.d_pad.shape == (1, nF, nO, nP)
dY = model.ops.allocate((15, nO, nP))
ids = model.ops.allocate((15, nF))
ids[1,2] = -1
dY[1] = 1
assert model.d_pad[0, 2, 0, 0] == 0.
model._backprop_padding(dY, ids)
assert model.d_pad[0, 2, 0, 0] == 1.
model.d_pad.fill(0.)
ids.fill(0.)
dY.fill(0.)
ids[1,2] = -1
ids[1,1] = -1
ids[1,0] = -1
dY[1] = 1
assert model.d_pad[0, 2, 0, 0] == 0.
model._backprop_padding(dY, ids)
assert model.d_pad[0, 2, 0, 0] == 3.
#@pytest.mark.xfail
#def test_displacy_parse_ents(en_vocab):
# """Test that named entities on a Doc are converted into displaCy's format."""
# doc = get_doc(en_vocab, words=["But", "Google", "is", "starting", "from", "behind"])
# doc.ents = [Span(doc, 1, 2, label=doc.vocab.strings[u'ORG'])]
# ents = parse_ents(doc)
# assert isinstance(ents, dict)
# assert ents['text'] == 'But Google is starting from behind '
# assert ents['ents'] == [{'start': 4, 'end': 10, 'label': 'ORG'}]
#
#
#@pytest.mark.xfail
#def test_displacy_parse_deps(en_vocab):
# """Test that deps and tags on a Doc are converted into displaCy's format."""
# words = ["This", "is", "a", "sentence"]
# heads = [1, 0, 1, -2]
# pos = ['DET', 'VERB', 'DET', 'NOUN']
# tags = ['DT', 'VBZ', 'DT', 'NN']
# deps = ['nsubj', 'ROOT', 'det', 'attr']
# doc = get_doc(en_vocab, words=words, heads=heads, pos=pos, tags=tags,
# deps=deps)
# deps = parse_deps(doc)
# assert isinstance(deps, dict)
# assert deps['words'] == [{'text': 'This', 'tag': 'DET'},
# {'text': 'is', 'tag': 'VERB'},
# {'text': 'a', 'tag': 'DET'},
# {'text': 'sentence', 'tag': 'NOUN'}]
# assert deps['arcs'] == [{'start': 0, 'end': 1, 'label': 'nsubj', 'dir': 'left'},
# {'start': 2, 'end': 3, 'label': 'det', 'dir': 'left'},
# {'start': 1, 'end': 3, 'label': 'attr', 'dir': 'right'}]
#
#
#@pytest.mark.xfail
#def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
# model = PrecomputableAffine(nO=nO, nI=nI, nF=nF, nP=nP)
# assert model.W.shape == (nF, nO, nP, nI)
# tensor = model.ops.allocate((10, nI))
# Y, get_dX = model.begin_update(tensor)
# assert Y.shape == (tensor.shape[0]+1, nF, nO, nP)
# assert model.d_pad.shape == (1, nF, nO, nP)
# dY = model.ops.allocate((15, nO, nP))
# ids = model.ops.allocate((15, nF))
# ids[1,2] = -1
# dY[1] = 1
# assert model.d_pad[0, 2, 0, 0] == 0.
# model._backprop_padding(dY, ids)
# assert model.d_pad[0, 2, 0, 0] == 1.
# model.d_pad.fill(0.)
# ids.fill(0.)
# dY.fill(0.)
# ids[1,2] = -1
# ids[1,1] = -1
# ids[1,0] = -1
# dY[1] = 1
# assert model.d_pad[0, 2, 0, 0] == 0.
# model._backprop_padding(dY, ids)
# assert model.d_pad[0, 2, 0, 0] == 3.