* Update tests

tests/parser/test_parse.py

@@ -1,6 +1,7 @@
 import pytest
 
 
+@pytest.mark.models
 def test_root(EN):
     tokens = EN(u"i don't have other assistance")
     for t in tokens:

tests/parser/test_parse_navigate.py

@@ -12,6 +12,7 @@ def sun_text():
     return text
 
 
+@pytest.mark.models
 def test_consistency(EN, sun_text):
     tokens = EN(sun_text)
     for head in tokens:
@@ -21,6 +22,7 @@ def test_consistency(EN, sun_text):
             assert child.head is head
 
 
+@pytest.mark.models
 def test_child_consistency(EN, sun_text):
     tokens = EN(sun_text)
 
@@ -53,6 +55,7 @@ def test_child_consistency(EN, sun_text):
         assert not children
 
 
+@pytest.mark.models
 def test_edges(EN):
     sun_text = u"Chemically, about three quarters of the Sun's mass consists of hydrogen, while the rest is mostly helium."
     tokens = EN(sun_text)

tests/parser/test_subtree.py

@@ -1,6 +1,8 @@
 from __future__ import unicode_literals
+import pytest
 
 
+@pytest.mark.models
 def test_subtrees(EN):
     sent = EN('The four wheels on the bus turned quickly')
     wheels = sent[2]

tests/spans/test_span.py

@@ -9,6 +9,7 @@ def doc(EN):
     return EN('This is a sentence. This is another sentence. And a third.')
 
 
+@pytest.mark.models
 def test_sent_spans(doc):
     sents = list(doc.sents)
     assert sents[0].start == 0
@@ -17,6 +18,7 @@ def test_sent_spans(doc):
     assert sum(len(sent) for sent in sents) == len(doc)
 
 
+@pytest.mark.models
 def test_root(doc):
     np = doc[2:4]
     assert len(np) == 2

tests/tagger/test_add_lemmas.py

@@ -17,6 +17,7 @@ def lemmas(tagged):
     return [t.lemma_ for t in tagged]
 
 
+@pytest.mark.models
 def test_lemmas(lemmas, tagged):
     assert lemmas[0] == 'banana'
     assert lemmas[1] == 'in'

tests/tagger/test_morph_exceptions.py

@@ -12,6 +12,7 @@ def morph_exc():
            }
 
 
+@pytest.mark.models
 def test_load_exc(morph_exc):
     # Do this local as we want to modify it
     nlp =  English()

tests/tagger/test_tag_names.py

@@ -1,7 +1,9 @@
 from spacy.en import English
 import six
+import pytest
 
 
+@pytest.mark.models
 def test_tag_names(EN):
     tokens = EN(u'I ate pizzas with anchovies.', parse=False, tag=True)
     pizza = tokens[2]

tests/tokens/test_array.py

@@ -15,6 +15,7 @@ def test_attr_of_token(EN):
     assert feats_array[0][0] != feats_array[0][1]
 
 
+@pytest.mark.models
 def test_tag(EN):
     text = u'A nice sentence.'
     tokens = EN(text)
@@ -26,6 +27,7 @@ def test_tag(EN):
     assert feats_array[3][1] == tokens[3].tag
 
 
+@pytest.mark.models
 def test_dep(EN):
     text = u'A nice sentence.'
     tokens = EN(text)

tests/tokens/test_token.py

@@ -4,6 +4,7 @@ import pytest
 from spacy.parts_of_speech import ADV
 
 
+@pytest.mark.models
 def test_prob(EN):
     tokens = EN(u'Give it back', parse=False)
     give = tokens[0]

tests/tokens/test_token_references.py

@@ -9,6 +9,7 @@ data_dir = os.environ.get('SPACY_DATA', LOCAL_DATA_DIR)
 # Let this have its own instances, as we have to be careful about memory here
 # that's the point, after all
 
+@pytest.mark.models
 def get_orphan_token(text, i):
     nlp = English(load_vectors=False, data_dir=data_dir)
     tokens = nlp(text)
@@ -18,6 +19,7 @@ def get_orphan_token(text, i):
     return token
 
 
+@pytest.mark.models
 def test_orphan():
     orphan = get_orphan_token('An orphan token', 1)
     gc.collect()
@@ -36,6 +38,7 @@ def _orphan_from_list(toks):
     return lst
 
 
+@pytest.mark.models
 def test_list_orphans():
     # Test case from NSchrading
     nlp = English(load_vectors=False, data_dir=data_dir)