* Merge train.py

spacy/syntax/_parse_features.pyx

@@ -84,6 +84,7 @@ cdef int fill_context(atom_t* context, State* state) except -1:
             if state.stack_len >= 3:
                 context[S2_has_head] = has_head(get_s2(state))
 
+
 unigrams = (
     (S2W, S2p),
     (S2c6, S2p),

tests/test_token.py

@@ -0,0 +1,15 @@
+from __future__ import unicode_literals
+import pytest
+
+from spacy.en import English
+from spacy.parts_of_speech import ADV
+
+@pytest.fixture
+def nlp():
+    return English()
+
+
+def test_prob(nlp):
+    tokens = nlp(u'Give it back')
+    give = tokens[0]
+    assert give.prob != 0