Change test595 to mock data, instead of requiring model.

spacy/tests/regression/test_issue595.py

@@ -1,12 +1,41 @@
+from __future__ import unicode_literals
 import pytest
 
-import spacy
+from ...symbols import POS, VERB, VerbForm_inf
+from ...tokens import Doc
+from ...vocab import Vocab
+from ...lemmatizer import Lemmatizer
 
 
-@pytest.mark.models
-def test_not_lemmatize_base_forms():
-    nlp = spacy.load('en', parser=False)
-    doc = nlp(u"Don't feed the dog")
+@pytest.fixture
+def index():
+    return {'verb': {}}
+
+@pytest.fixture
+def exceptions():
+    return {'verb': {}}
+
+@pytest.fixture
+def rules():
+    return {"verb": [["ed", "e"]]}
+
+@pytest.fixture
+def lemmatizer(index, exceptions, rules):
+    return Lemmatizer(index, exceptions, rules)
+
+
+@pytest.fixture
+def tag_map():
+    return {'VB': {POS: VERB, 'morph': VerbForm_inf}}
+
+
+@pytest.fixture
+def vocab(lemmatizer, tag_map):
+    return Vocab(lemmatizer=lemmatizer, tag_map=tag_map)
+
+
+def test_not_lemmatize_base_forms(vocab, lemmatizer):
+    doc = Doc(vocab, words=["Do", "n't", "feed", "the", "dog"])
     feed = doc[2]
     feed.tag_ = u'VB'
     assert feed.text == u'feed'