From 887631ca25899bd0574670ad937fec8c606de2df Mon Sep 17 00:00:00 2001
From: Matthew Honnibal <honnibal+gh@gmail.com>
Date: Thu, 10 May 2018 16:42:01 +0200
Subject: [PATCH] Disable some tests to figure out why CI fails

---
 spacy/tests/test_misc.py | 114 +++++++++++++++++++--------------------
 1 file changed, 57 insertions(+), 57 deletions(-)

diff --git a/spacy/tests/test_misc.py b/spacy/tests/test_misc.py
index 659af6c84..3052e971f 100644
--- a/spacy/tests/test_misc.py
+++ b/spacy/tests/test_misc.py
@@ -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.