Modernise Doc API tests and don't depend on models

This commit is contained in:
Ines Montani 2017-01-11 18:05:36 +01:00
parent 8bf3bb5c44
commit 6e883f4c00

View File

@ -1,39 +1,37 @@
# coding: utf-8
from __future__ import unicode_literals
from spacy.tokens import Doc
from spacy.en import English
import numpy
from spacy.attrs import HEAD
from ...vocab import Vocab
from ...tokens.doc import Doc
from ..util import get_doc
import pytest
import numpy
def test_tokens_compare_by_string_position():
vocab = Vocab()
doc = Doc(vocab, [u'one', u'two', u'three'])
@pytest.mark.parametrize('text', [["one", "two", "three"]])
def test_doc_api_compare_by_string_position(en_vocab, text):
doc = get_doc(en_vocab, text)
# Get the tokens in this order, so their ID ordering doesn't match the idx
three = doc[-1]
two = doc[-2]
one = doc[-1]
one, two, three = doc
assert one < two < three
assert not one > two
assert two > one
assert two <= three
assert three >= one
token3 = doc[-1]
token2 = doc[-2]
token1 = doc[-1]
token1, token2, token3 = doc
assert token1 < token2 < token3
assert not token1 > token2
assert token2 > token1
assert token2 <= token3
assert token3 >= token1
@pytest.mark.models
def test_getitem(EN):
tokens = EN(u'Give it back! He pleaded.')
assert tokens[0].orth_ == 'Give'
assert tokens[-1].orth_ == '.'
def test_doc_api_getitem(en_tokenizer):
text = "Give it back! He pleaded."
tokens = en_tokenizer(text)
assert tokens[0].text == 'Give'
assert tokens[-1].text == '.'
with pytest.raises(IndexError):
tokens[len(tokens)]
def to_str(span):
return '/'.join(token.orth_ for token in span)
return '/'.join(token.text for token in span)
span = tokens[1:1]
assert not to_str(span)
@ -99,70 +97,56 @@ def test_getitem(EN):
assert subspan.start == subspan.end == 4 and not to_str(subspan)
@pytest.mark.models
def test_serialize(EN):
tokens = EN(u'Give it back! He pleaded.')
packed = tokens.to_bytes()
new_tokens = Doc(EN.vocab).from_bytes(packed)
@pytest.mark.parametrize('text', ["Give it back! He pleaded.",
" Give it back! He pleaded. "])
def test_doc_api_serialize(en_tokenizer, text):
tokens = en_tokenizer(text)
new_tokens = get_doc(tokens.vocab).from_bytes(tokens.to_bytes())
assert tokens.string == new_tokens.string
assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens]
assert [t.text for t in tokens] == [t.text for t in new_tokens]
assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
@pytest.mark.models
def test_serialize_whitespace(EN):
tokens = EN(u' Give it back! He pleaded. ')
packed = tokens.to_bytes()
new_tokens = Doc(EN.vocab).from_bytes(packed)
assert tokens.string == new_tokens.string
assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens]
assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
def test_set_ents(EN):
tokens = EN.tokenizer(u'I use goggle chrone to surf the web')
def test_doc_api_set_ents(en_tokenizer):
text = "I use goggle chrone to surf the web"
tokens = en_tokenizer(text)
assert len(tokens.ents) == 0
tokens.ents = [(EN.vocab.strings['PRODUCT'], 2, 4)]
tokens.ents = [(tokens.vocab.strings['PRODUCT'], 2, 4)]
assert len(list(tokens.ents)) == 1
assert [t.ent_iob for t in tokens] == [0, 0, 3, 1, 0, 0, 0, 0]
ent = tokens.ents[0]
assert ent.label_ == 'PRODUCT'
assert ent.start == 2
assert ent.end == 4
assert tokens.ents[0].label_ == 'PRODUCT'
assert tokens.ents[0].start == 2
assert tokens.ents[0].end == 4
def test_merge(EN):
doc = EN('WKRO played songs by the beach boys all night')
def test_doc_api_merge(en_tokenizer):
text = "WKRO played songs by the beach boys all night"
assert len(doc) == 9
# merge 'The Beach Boys'
doc = en_tokenizer(text)
assert len(doc) == 9
doc.merge(doc[4].idx, doc[6].idx + len(doc[6]), 'NAMED', 'LEMMA', 'TYPE')
assert len(doc) == 7
assert doc[4].text == 'the beach boys'
assert doc[4].text_with_ws == 'the beach boys '
assert doc[4].tag_ == 'NAMED'
def test_merge_end_string(EN):
doc = EN('WKRO played songs by the beach boys all night')
# merge 'all night'
doc = en_tokenizer(text)
assert len(doc) == 9
# merge 'The Beach Boys'
doc.merge(doc[7].idx, doc[8].idx + len(doc[8]), 'NAMED', 'LEMMA', 'TYPE')
assert len(doc) == 8
assert doc[7].text == 'all night'
assert doc[7].text_with_ws == 'all night'
@pytest.mark.models
def test_merge_children(EN):
def test_doc_api_merge_children(en_tokenizer):
"""Test that attachments work correctly after merging."""
doc = EN('WKRO played songs by the beach boys all night')
# merge 'The Beach Boys'
text = "WKRO played songs by the beach boys all night"
doc = en_tokenizer(text)
assert len(doc) == 9
doc.merge(doc[4].idx, doc[6].idx + len(doc[6]), 'NAMED', 'LEMMA', 'TYPE')
for word in doc:
if word.i < word.head.i:
assert word in list(word.head.lefts)
@ -170,28 +154,31 @@ def test_merge_children(EN):
assert word in list(word.head.rights)
def test_merge_hang():
text = 'through North and South Carolina'
EN = English(parser=False)
doc = EN(text, tag=True)
heads = numpy.asarray([[0, 3, -1, -2, -4]], dtype='int32')
doc.from_array([HEAD], heads.T)
def test_doc_api_merge_hang(en_tokenizer):
text = "through North and South Carolina"
doc = en_tokenizer(text)
doc.merge(18, 32, '', '', 'ORG')
doc.merge(8, 32, '', '', 'ORG')
def test_sents_empty_string(EN):
doc = EN(u'')
def test_doc_api_sents_empty_string(en_tokenizer):
doc = en_tokenizer("")
doc.is_parsed = True
sents = list(doc.sents)
assert len(sents) == 0
@pytest.mark.models
def test_runtime_error(EN):
def test_doc_api_runtime_error(en_tokenizer):
# Example that caused run-time error while parsing Reddit
text = u'67% of black households are single parent \n\n72% of all black babies born out of wedlock \n\n50% of all black kids don\u2019t finish high school'
doc = EN(text)
text = "67% of black households are single parent \n\n72% of all black babies born out of wedlock \n\n50% of all black kids don\u2019t finish high school"
deps = ['nsubj', 'prep', 'amod', 'pobj', 'ROOT', 'amod', 'attr', '',
'nummod', 'prep', 'det', 'amod', 'pobj', 'acl', 'prep', 'prep',
'pobj', '', 'nummod', 'prep', 'det', 'amod', 'pobj', 'aux', 'neg',
'ROOT', 'amod', 'dobj']
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deps)
nps = []
for np in doc.noun_chunks:
while len(np) > 1 and np[0].dep_ not in ('advmod', 'amod', 'compound'):
@ -205,20 +192,28 @@ def test_runtime_error(EN):
doc.merge(*np)
@pytest.mark.models
def test_right_edge(EN):
def test_doc_api_right_edge(en_tokenizer):
# Test for bug occurring from Unshift action, causing incorrect right edge
doc = EN(u'''I have proposed to myself, for the sake of such as live '''
u'''under the government of the Romans, to translate those books '''
u'''into the Greek tongue.''')
token = doc[6]
assert token.text == u'for'
subtree = [w.text for w in token.subtree]
assert subtree == [u'for' , u'the', u'sake', u'of', u'such', u'as', u'live', u'under', u'the', u'government', u'of', u'the', u'Romans', u',']
assert token.right_edge.text == u','
text = "I have proposed to myself, for the sake of such as live under the government of the Romans, to translate those books into the Greek tongue."
heads = [2, 1, 0, -1, -1, -3, 15, 1, -2, -1, 1, -3, -1, -1, 1, -2, -1, 1,
-2, -7, 1, -19, 1, -2, -3, 2, 1, -3, -26]
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, [t.text for t in tokens], heads=heads)
assert doc[6].text == 'for'
subtree = [w.text for w in doc[6].subtree]
assert subtree == ['for' , 'the', 'sake', 'of', 'such', 'as', 'live', 'under', 'the', 'government', 'of', 'the', 'Romans', ',']
assert doc[6].right_edge.text == ','
@pytest.mark.vectors
def test_has_vector(EN):
doc = EN(u'''apple orange pear''')
@pytest.mark.parametrize('text,vectors', [
("apple orange pear", ["apple -1 -1 -1", "orange -1 -1 0", "pear -1 0 -1"])
])
def test_doc_api_has_vector(en_tokenizer, text_file, text, vectors):
text_file.write('\n'.join(vectors))
text_file.seek(0)
vector_length = en_tokenizer.vocab.load_vectors(text_file)
assert vector_length == 3
doc = en_tokenizer(text)
assert doc.has_vector