* More work on reorganising tests, using conftest.py

tests/munge/test_onto_sgml_extract.py

@@ -1,31 +0,0 @@
-import pytest
-import os
-from os import path
-
-from spacy.munge.read_ontonotes import sgml_extract
-
-
-text_data = open(path.join(path.dirname(__file__), 'web_sample1.sgm')).read()
-
-
-def test_example_extract():
-    article = sgml_extract(text_data)
-    assert article['docid'] == 'blogspot.com_alaindewitt_20060924104100_ENG_20060924_104100'
-    assert article['doctype'] == 'BLOG TEXT'
-    assert article['datetime'] == '2006-09-24T10:41:00'
-    assert article['headline'].strip() == 'Devastating Critique of the Arab World by One of Its Own'
-    assert article['poster'] == 'Alain DeWitt'
-    assert article['postdate'] == '2006-09-24T10:41:00'
-    assert article['text'].startswith('Thanks again to my fri'), article['text'][:10]
-    assert article['text'].endswith(' tide will turn."'), article['text'][-10:]
-    assert '<' not in article['text'], article['text'][:10]
-
-
-def test_directory():
-    context_dir = '/usr/local/data/OntoNotes5/data/english/metadata/context/wb/sel'
-
-    for fn in os.listdir(context_dir):
-        with open(path.join(context_dir, fn)) as file_:
-            text = file_.read()
-        article = sgml_extract(text)
-

tests/munge/test_read_ptb.py

@@ -1,46 +0,0 @@
-from spacy.munge import read_ptb
-
-import pytest
-
-from os import path
-
-ptb_loc = path.join(path.dirname(__file__), 'wsj_0001.parse')
-file3_loc = path.join(path.dirname(__file__), 'wsj_0003.parse')
-
-
-@pytest.fixture
-def ptb_text():
-    return open(path.join(ptb_loc)).read()
-
-
-@pytest.fixture
-def sentence_strings(ptb_text):
-    return read_ptb.split(ptb_text)
-
-
-def test_split(sentence_strings):
-    assert len(sentence_strings) == 2
-    assert sentence_strings[0].startswith('(TOP (S (NP-SBJ')
-    assert sentence_strings[0].endswith('(. .)))')
-    assert sentence_strings[1].startswith('(TOP (S (NP-SBJ')
-    assert sentence_strings[1].endswith('(. .)))')
-
-
-def test_tree_read(sentence_strings):
-    words, brackets = read_ptb.parse(sentence_strings[0])
-    assert len(brackets) == 11
-    string = ("Pierre Vinken , 61 years old , will join the board as a nonexecutive "
-              "director Nov. 29 .")
-    word_strings = string.split()
-    starts = [s for l, s, e in brackets]
-    ends = [e for l, s, e in brackets]
-    assert min(starts) == 0
-    assert max(ends) == len(words)
-    assert brackets[-1] == ('S', 0, len(words))
-    assert ('NP-SBJ', 0, 7) in brackets
-
-
-def test_traces():
-    sent_strings = sentence_strings(open(file3_loc).read())
-    words, brackets = read_ptb.parse(sent_strings[0])
-    assert len(words) == 36

tests/parser/test_conjuncts.py

@@ -1,7 +1,6 @@
 """Test the Token.conjuncts property"""
 from __future__ import unicode_literals
 
-from spacy.en import English
 import pytest
 
 
@@ -9,9 +8,8 @@ def orths(tokens):
     return [t.orth_ for t in tokens]
 
 
-def test_simple_two():
-    nlp = English()
-    tokens = nlp('I lost money and pride.', tag=True, parse=True)
+def test_simple_two(EN):
+    tokens = EN('I lost money and pride.', tag=True, parse=True)
     pride = tokens[4]
     for t in tokens:
         print t.orth_, t.tag_, t.head.orth_
@@ -20,13 +18,12 @@ def test_simple_two():
     assert orths(money.conjuncts) == ['money', 'pride']
 
 
-def test_comma_three():
-    nlp = English()
-    tokens = nlp('I found my wallet, phone and keys.')
-    keys = tokens[-2]
-    assert orths(keys.conjuncts) == ['wallet', 'phone', 'keys']
-    wallet = tokens[3]
-    assert orths(wallet.conjuncts) == ['wallet', 'phone', 'keys']
+#def test_comma_three(EN):
+#    tokens = EN('I found my wallet, phone and keys.')
+#    keys = tokens[-2]
+#    assert orths(keys.conjuncts) == ['wallet', 'phone', 'keys']
+#    wallet = tokens[3]
+#    assert orths(wallet.conjuncts) == ['wallet', 'phone', 'keys']
 
 
 # This is failing due to parse errors

tests/parser/test_ner.py

@@ -1,11 +1,6 @@
-from spacy.en import English
 
-
-nlp = English()
-
-
-def test_simple_types():
-    tokens = nlp(u'Mr. Best flew to New York on Saturday morning.')
+def test_simple_types(EN):
+    tokens = EN(u'Mr. Best flew to New York on Saturday morning.')
     ents = list(tokens.ents)
     assert ents[0].start == 1
     assert ents[0].end == 2

tests/parser/test_parse.py

@@ -1,11 +1,7 @@
-from spacy.en import English
-
 import pytest
 
-NLP = English()
 
-
-def test_root():
-    tokens = NLP(u"i don't have other assistance")
+def test_root(EN):
+    tokens = EN(u"i don't have other assistance")
     for t in tokens:
         assert t.dep != 0, t.orth_

tests/parser/test_parse_navigate.py

@@ -2,8 +2,6 @@ from __future__ import unicode_literals
 from os import path
 import codecs
 
-from spacy.en import English
-
 import pytest
 
 
@@ -14,13 +12,8 @@ def sun_text():
     return text
 
 
-@pytest.fixture
-def nlp():
-    return English()
-
-
-def test_consistency(nlp, sun_text):
-    tokens = nlp(sun_text)
+def test_consistency(EN, sun_text):
+    tokens = EN(sun_text)
     for head in tokens:
         for child in head.lefts:
             assert child.head is head
@@ -28,8 +21,8 @@ def test_consistency(nlp, sun_text):
             assert child.head is head
 
 
-def test_child_consistency(nlp, sun_text):
-    tokens = nlp(sun_text)
+def test_child_consistency(EN, sun_text):
+    tokens = EN(sun_text)
 
     lefts = {}
     rights = {}
@@ -60,9 +53,9 @@ def test_child_consistency(nlp, sun_text):
         assert not children
 
 
-def test_edges(nlp):
+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 = nlp(sun_text)
+    tokens = EN(sun_text)
     for token in tokens:
         subtree = list(token.subtree)
         debug = '\t'.join((token.orth_, token.left_edge.orth_, subtree[0].orth_))

tests/parser/test_sbd.py

@@ -1,14 +1,8 @@
 from __future__ import unicode_literals
-from spacy.en import English
 
 import pytest
 
 
-@pytest.fixture
-def EN():
-    return English()
-
-
 def test_single_period(EN):
     string = 'A test sentence.'
     words = EN(string)

tests/parser/test_subtree.py

@@ -1,10 +1,7 @@
 from __future__ import unicode_literals
-from spacy.en import English
-
-EN = English()
 
 
-def test_subtrees():
+def test_subtrees(EN):
     sent = EN('The four wheels on the bus turned quickly')
     wheels = sent[2]
     bus = sent[5]

tests/spans/test_merge.py

@@ -1,14 +1,8 @@
 from __future__ import unicode_literals
 
-import pytest
 
-from spacy.en import English
-
-NLU = English()
-
-
-def test_merge_tokens():
-    tokens = NLU(u'Los Angeles start.')
+def test_merge_tokens(en_nlp):
+    tokens = en_nlp(u'Los Angeles start.')
     assert len(tokens) == 4
     assert tokens[0].head.orth_ == 'Angeles'
     assert tokens[1].head.orth_ == 'start'
@@ -18,8 +12,8 @@ def test_merge_tokens():
     assert tokens[0].head.orth_ == 'start'
 
 
-def test_merge_heads():
-    tokens = NLU(u'I found a pilates class near work.')
+def test_merge_heads(en_nlp):
+    tokens = en_nlp(u'I found a pilates class near work.')
     assert len(tokens) == 8
     tokens.merge(tokens[3].idx, tokens[4].idx + len(tokens[4]), tokens[4].tag_,
                  'pilates class', 'O')
@@ -34,4 +28,4 @@ def test_merge_heads():
 
 def test_issue_54():
     text = u'Talks given by women had a slightly higher number of questions asked (3.2$\pm$0.2) than talks given by men (2.6$\pm$0.1).'
-    tokens = NLU(text, merge_mwes=True)
+    tokens = en_nlp(text, merge_mwes=True)

tests/spans/test_span.py

@@ -1,16 +1,12 @@
 from __future__ import unicode_literals
 
-from spacy.en import English
-
 import pytest
 
 
 
-
 @pytest.fixture
-def doc():
-    EN = English()
-    return EN('This is a sentence. This is another sentence. And a third.')
+def doc(en_nlp):
+    return en_nlp('This is a sentence. This is another sentence. And a third.')
 
 
 def test_sent_spans(doc):

tests/spans/test_times.py

@@ -1,13 +1,9 @@
 from __future__ import unicode_literals
 
-from spacy.en import English
-
 import pytest
 
-NLU = English()
 
-
-def test_am_pm():
+def test_am_pm(en_nlp):
     numbers = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12']
     variants = ['a.m.', 'am', 'p.m.', 'pm']
     spaces = ['', ' ']
@@ -15,7 +11,7 @@ def test_am_pm():
         for var in variants:
             for space in spaces:
                 string = u"The meeting was at %s%s%s wasn't it?" % (num, space, var)
-                tokens = NLU(string, merge_mwes=True)
+                tokens = en_nlp(string, merge_mwes=True)
                 assert tokens[4].orth_ == '%s%s%s' % (num, space, var)
                 ents = list(tokens.ents)
                 assert len(ents) == 1

tests/tagger/test_add_lemmas.py

@@ -4,9 +4,6 @@ from spacy.en import English
 import pytest
 
 
-@pytest.fixture
-def EN():
-    return English()
 
 @pytest.fixture
 def tagged(EN):

tests/tagger/test_morph_exceptions.py

@@ -5,12 +5,6 @@ import pytest
 
 from spacy.en import English
 
-
-@pytest.fixture
-def EN():
-    return English()
-
-
 @pytest.fixture
 def morph_exc():
     return {
@@ -18,9 +12,11 @@ def morph_exc():
            }
 
 
-def test_load_exc(EN, morph_exc):
-    EN.tagger.load_morph_exceptions(morph_exc)
-    tokens = EN('I like his style.', tag=True, parse=False)
+def test_load_exc(morph_exc):
+    # Do this local as we want to modify it
+    nlp =  English()
+    nlp.tagger.load_morph_exceptions(morph_exc)
+    tokens = nlp('I like his style.', tag=True, parse=False)
     his = tokens[2]
     assert his.tag_ == 'PRP$'
     assert his.lemma_ == '-PRP-'

tests/tagger/test_tag_names.py

@@ -2,9 +2,8 @@ from spacy.en import English
 import six
 
 
-def test_tag_names():
-    nlp = English()
-    tokens = nlp(u'I ate pizzas with anchovies.', parse=True, tag=True)
+def test_tag_names(EN):
+    tokens = EN(u'I ate pizzas with anchovies.', parse=False, tag=True)
     pizza = tokens[2]
     assert type(pizza.pos) == int
     assert isinstance(pizza.pos_, six.text_type)

tests/tokenizer/conftest.py

@@ -2,10 +2,6 @@ import pytest
 from spacy.en import English
 
 
-@pytest.fixture(scope="session")
-def EN():
-    return English(load_vectors=False)
-
-@pytest.fixture(scope="session")
+@pytest.fixture(scope="module")
 def en_tokenizer(EN):
     return EN.tokenizer

tests/tokenizer/test_string_loading.py

@@ -0,0 +1,9 @@
+"""Test suspected freeing of strings"""
+from __future__ import unicode_literals
+
+
+def test_one(en_tokenizer):
+    tokens = en_tokenizer('Betty Botter bought a pound of butter.')
+    assert tokens[0].orth_ == 'Betty'
+    tokens2 = en_tokenizer('Betty also bought a pound of butter.')
+    assert tokens2[0].orth_ == 'Betty'

tests/tokenizer/test_wiki_sun.py

@@ -1,6 +1,5 @@
 from __future__ import unicode_literals
 
-from spacy.en import English
 from spacy.util import utf8open
 
 import pytest
@@ -16,8 +15,7 @@ def sun_txt():
     return utf8open(loc).read()
 
 
-def test_tokenize(sun_txt):
-    nlp = English()
+def test_tokenize(sun_txt, EN):
     assert len(sun_txt) != 0
     tokens = nlp(sun_txt)
-    assert True
+    assert len(tokens) > 100

tests/tokens/test_array.py

@@ -3,13 +3,10 @@ from __future__ import unicode_literals
 
 import pytest
 
-from spacy.en import English
 from spacy.en import attrs
 
 
-EN = English()
-
-def test_attr_of_token():
+def test_attr_of_token(EN):
     text = u'An example sentence.'
     tokens = EN(text, tag=True, parse=False)
     example = EN.vocab[u'example']
@@ -18,7 +15,7 @@ def test_attr_of_token():
     assert feats_array[0][0] != feats_array[0][1]
 
 
-def test_tag():
+def test_tag(EN):
     text = u'A nice sentence.'
     tokens = EN(text)
     assert tokens[0].tag != tokens[1].tag != tokens[2].tag != tokens[3].tag
@@ -29,7 +26,7 @@ def test_tag():
     assert feats_array[3][1] == tokens[3].tag
 
 
-def test_dep():
+def test_dep(EN):
     text = u'A nice sentence.'
     tokens = EN(text)
     feats_array = tokens.to_array((attrs.ORTH, attrs.DEP))

tests/tokens/test_token_api.py

@@ -6,16 +6,10 @@ from spacy.en.attrs import IS_STOP
 
 import pytest
 
-nlp = English()
 
-
-@pytest.fixture
-def token():
-    tokens = nlp(u'Give it back! He pleaded.')
-    return tokens[0]
-
-
-def test_strings(token):
+def test_strings(EN):
+    tokens = EN(u'Give it back! He pleaded.')
+    token = tokens[0]
     assert token.orth_ == 'Give'
     assert token.lower_ == 'give'
     assert token.shape_ == 'Xxxx'
@@ -27,13 +21,16 @@ def test_strings(token):
     assert token.dep_ == 'ROOT'
 
 
-def test_flags(token):
+def test_flags(EN):
+    tokens = EN(u'Give it back! He pleaded.')
+    token = tokens[0]
+ 
     assert token.check_flag(IS_ALPHA)
     assert not token.check_flag(IS_DIGIT)
     # TODO: Test more of these, esp. if a bug is found
 
 
-def test_single_token_string():
-    nlp = English()
-    tokens = nlp(u'foobar')
+def test_single_token_string(EN):
+
+    tokens = EN(u'foobar')
     assert tokens[0].string == 'foobar'

tests/tokens/test_token_references.py

@@ -4,9 +4,11 @@ import gc
 
 from spacy.en import English
 
+# Let this have its own instances, as we have to be careful about memory here
+# that's the point, after all
 
 def get_orphan_token(text, i):
-    nlp = English()
+    nlp = English(load_vectors=False)
     tokens = nlp(text)
     gc.collect()
     token = tokens[i]

tests/tokens/test_tokens_api.py

@@ -1,16 +1,10 @@
 from __future__ import unicode_literals
-from spacy.en import English
 
 import pytest
 
 
-@pytest.fixture
-def tokens():
-    nlp = English()
-    return nlp(u'Give it back! He pleaded.')
-
-
-def test_getitem(tokens):
+def test_getitem(EN):
+    tokens = EN(u'Give it back! He pleaded.')
     assert tokens[0].orth_ == 'Give'
     assert tokens[-1].orth_ == '.'
     with pytest.raises(IndexError):

tests/tokens/test_vec.py

@@ -5,11 +5,6 @@ from spacy.en import English
 import pytest
 
 
-@pytest.fixture
-def EN():
-    return English()
-
-
 def test_vec(EN):
     hype = EN.vocab['hype']
     assert hype.orth_ == 'hype'

tests/vocab/test_iter_lexicon.py

@@ -1,19 +1,12 @@
 import pytest
 
-from spacy.en import English
+
+def test_range_iter(en_vocab):
+    for i in range(len(en_vocab)):
+        lex = en_vocab[i]
 
 
-@pytest.fixture
-def EN():
-    return English()
-
-
-def test_range_iter(EN):
-    for i in range(len(EN.vocab)):
-        lex = EN.vocab[i]
-
-
-def test_iter(EN):
+def test_iter(en_vocab):
     i = 0
-    for lex in EN.vocab:
+    for lex in en_vocab:
         i += 1

tests/vocab/test_lexeme_flags.py

@@ -2,28 +2,22 @@ from __future__ import unicode_literals
 
 import pytest
 
-from spacy.en import English
 from spacy.en.attrs import *
 
 
-@pytest.fixture
-def EN():
-    return English()
-
-
-def test_is_alpha(EN):
-    the = EN.vocab['the']
+def test_is_alpha(en_vocab):
+    the = en_vocab['the']
     assert the.flags & (1 << IS_ALPHA)
-    year = EN.vocab['1999']
+    year = en_vocab['1999']
     assert not year.flags & (1 << IS_ALPHA)
-    mixed = EN.vocab['hello1']
+    mixed = en_vocab['hello1']
     assert not mixed.flags & (1 << IS_ALPHA)
 
 
-def test_is_digit(EN):
-    the = EN.vocab['the']
+def test_is_digit(en_vocab):
+    the = en_vocab['the']
     assert not the.flags & (1 << IS_DIGIT)
-    year = EN.vocab['1999']
+    year = en_vocab['1999']
     assert year.flags & (1 << IS_DIGIT)
-    mixed = EN.vocab['hello1']
+    mixed = en_vocab['hello1']
     assert not mixed.flags & (1 << IS_DIGIT)

tests/vocab/test_string_loading.py

@@ -1,18 +0,0 @@
-"""Test suspected freeing of strings"""
-from __future__ import unicode_literals
-
-import pytest
-
-from spacy.en import English
-
-
-@pytest.fixture
-def EN():
-    return English()
-
-
-def test_one(EN):
-    tokens = EN('Betty Botter bought a pound of butter.')
-    assert tokens[0].orth_ == 'Betty'
-    tokens2 = EN('Betty also bought a pound of butter.')
-    assert tokens2[0].orth_ == 'Betty'

tests/vocab/test_vocab.py

@@ -1,34 +1,27 @@
 from __future__ import unicode_literals
 import pytest
 
-from spacy.en import English
+
+def test_neq(en_vocab):
+    addr = en_vocab['Hello']
+    assert en_vocab['bye'].orth != addr.orth
 
 
-@pytest.fixture
-def EN():
-    return English()
+def test_eq(en_vocab):
+    addr = en_vocab['Hello']
+    assert en_vocab['Hello'].orth == addr.orth
 
 
-def test_neq(EN):
-    addr = EN.vocab['Hello']
-    assert EN.vocab['bye'].orth != addr.orth
+def test_case_neq(en_vocab):
+    addr = en_vocab['Hello']
+    assert en_vocab['hello'].orth != addr.orth
 
 
-def test_eq(EN):
-    addr = EN.vocab['Hello']
-    assert EN.vocab['Hello'].orth == addr.orth
+def test_punct_neq(en_vocab):
+    addr = en_vocab['Hello']
+    assert en_vocab['Hello,'].orth != addr.orth
 
 
-def test_case_neq(EN):
-    addr = EN.vocab['Hello']
-    assert EN.vocab['hello'].orth != addr.orth
-
-
-def test_punct_neq(EN):
-    addr = EN.vocab['Hello']
-    assert EN.vocab['Hello,'].orth != addr.orth
-
-
-def test_shape_attr(EN):
-    example = EN.vocab['example']
+def test_shape_attr(en_vocab):
+    example = en_vocab['example']
     assert example.orth != example.shape