spaCy/spacy/tests/matcher/test_dependency_matcher.py

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import pytest
import pickle
import re
import copy
from mock import Mock
from spacy.matcher import DependencyMatcher
from spacy.tokens import Doc, Token
from ..doc.test_underscore import clean_underscore # noqa: F401
@pytest.fixture
def doc(en_vocab):
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words = ["The", "quick", "brown", "fox", "jumped", "over", "the", "lazy", "fox"]
heads = [3, 3, 3, 4, 4, 4, 8, 8, 5]
deps = ["det", "amod", "amod", "nsubj", "ROOT", "prep", "pobj", "det", "amod"]
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return Doc(en_vocab, words=words, heads=heads, deps=deps)
@pytest.fixture
def patterns(en_vocab):
def is_brown_yellow(text):
return bool(re.compile(r"brown|yellow").match(text))
IS_BROWN_YELLOW = en_vocab.add_flag(is_brown_yellow)
pattern1 = [
{"RIGHT_ID": "fox", "RIGHT_ATTRS": {"ORTH": "fox"}},
{
"LEFT_ID": "fox",
"REL_OP": ">",
"RIGHT_ID": "q",
"RIGHT_ATTRS": {"ORTH": "quick", "DEP": "amod"},
},
{
"LEFT_ID": "fox",
"REL_OP": ">",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {IS_BROWN_YELLOW: True},
},
]
pattern2 = [
{"RIGHT_ID": "jumped", "RIGHT_ATTRS": {"ORTH": "jumped"}},
{
"LEFT_ID": "jumped",
"REL_OP": ">",
"RIGHT_ID": "fox1",
"RIGHT_ATTRS": {"ORTH": "fox"},
},
{
"LEFT_ID": "jumped",
"REL_OP": ".",
"RIGHT_ID": "over",
"RIGHT_ATTRS": {"ORTH": "over"},
},
]
pattern3 = [
{"RIGHT_ID": "jumped", "RIGHT_ATTRS": {"ORTH": "jumped"}},
{
"LEFT_ID": "jumped",
"REL_OP": ">",
"RIGHT_ID": "fox",
"RIGHT_ATTRS": {"ORTH": "fox"},
},
{
"LEFT_ID": "fox",
"REL_OP": ">>",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {"ORTH": "brown"},
},
]
pattern4 = [
{"RIGHT_ID": "jumped", "RIGHT_ATTRS": {"ORTH": "jumped"}},
{
"LEFT_ID": "jumped",
"REL_OP": ">",
"RIGHT_ID": "fox",
"RIGHT_ATTRS": {"ORTH": "fox"},
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},
]
pattern5 = [
{"RIGHT_ID": "jumped", "RIGHT_ATTRS": {"ORTH": "jumped"}},
{
"LEFT_ID": "jumped",
"REL_OP": ">>",
"RIGHT_ID": "fox",
"RIGHT_ATTRS": {"ORTH": "fox"},
},
]
return [pattern1, pattern2, pattern3, pattern4, pattern5]
@pytest.fixture
def dependency_matcher(en_vocab, patterns, doc):
matcher = DependencyMatcher(en_vocab)
mock = Mock()
for i in range(1, len(patterns) + 1):
if i == 1:
matcher.add("pattern1", [patterns[0]], on_match=mock)
else:
matcher.add("pattern" + str(i), [patterns[i - 1]])
return matcher
def test_dependency_matcher(dependency_matcher, doc, patterns):
assert len(dependency_matcher) == 5
assert "pattern3" in dependency_matcher
assert dependency_matcher.get("pattern3") == (None, [patterns[2]])
matches = dependency_matcher(doc)
assert len(matches) == 6
assert matches[0][1] == [3, 1, 2]
assert matches[1][1] == [4, 3, 5]
assert matches[2][1] == [4, 3, 2]
assert matches[3][1] == [4, 3]
assert matches[4][1] == [4, 3]
assert matches[5][1] == [4, 8]
span = doc[0:6]
matches = dependency_matcher(span)
assert len(matches) == 5
assert matches[0][1] == [3, 1, 2]
assert matches[1][1] == [4, 3, 5]
assert matches[2][1] == [4, 3, 2]
assert matches[3][1] == [4, 3]
assert matches[4][1] == [4, 3]
def test_dependency_matcher_pickle(en_vocab, patterns, doc):
matcher = DependencyMatcher(en_vocab)
for i in range(1, len(patterns) + 1):
matcher.add("pattern" + str(i), [patterns[i - 1]])
matches = matcher(doc)
assert matches[0][1] == [3, 1, 2]
assert matches[1][1] == [4, 3, 5]
assert matches[2][1] == [4, 3, 2]
assert matches[3][1] == [4, 3]
assert matches[4][1] == [4, 3]
assert matches[5][1] == [4, 8]
b = pickle.dumps(matcher)
matcher_r = pickle.loads(b)
assert len(matcher) == len(matcher_r)
matches = matcher_r(doc)
assert matches[0][1] == [3, 1, 2]
assert matches[1][1] == [4, 3, 5]
assert matches[2][1] == [4, 3, 2]
assert matches[3][1] == [4, 3]
assert matches[4][1] == [4, 3]
assert matches[5][1] == [4, 8]
def test_dependency_matcher_pattern_validation(en_vocab):
pattern = [
{"RIGHT_ID": "fox", "RIGHT_ATTRS": {"ORTH": "fox"}},
{
"LEFT_ID": "fox",
"REL_OP": ">",
"RIGHT_ID": "q",
"RIGHT_ATTRS": {"ORTH": "quick", "DEP": "amod"},
},
{
"LEFT_ID": "fox",
"REL_OP": ">",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {"ORTH": "brown"},
},
]
matcher = DependencyMatcher(en_vocab)
# original pattern is valid
matcher.add("FOUNDED", [pattern])
# individual pattern not wrapped in a list
with pytest.raises(ValueError):
matcher.add("FOUNDED", pattern)
# no anchor node
with pytest.raises(ValueError):
matcher.add("FOUNDED", [pattern[1:]])
# required keys missing
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
del pattern2[0]["RIGHT_ID"]
matcher.add("FOUNDED", [pattern2])
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
del pattern2[1]["RIGHT_ID"]
matcher.add("FOUNDED", [pattern2])
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
del pattern2[1]["RIGHT_ATTRS"]
matcher.add("FOUNDED", [pattern2])
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
del pattern2[1]["LEFT_ID"]
matcher.add("FOUNDED", [pattern2])
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
del pattern2[1]["REL_OP"]
matcher.add("FOUNDED", [pattern2])
# invalid operator
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
pattern2[1]["REL_OP"] = "!!!"
matcher.add("FOUNDED", [pattern2])
# duplicate node name
with pytest.raises(ValueError):
pattern2 = copy.deepcopy(pattern)
pattern2[1]["RIGHT_ID"] = "fox"
matcher.add("FOUNDED", [pattern2])
def test_dependency_matcher_callback(en_vocab, doc):
pattern = [
{"RIGHT_ID": "quick", "RIGHT_ATTRS": {"ORTH": "quick"}},
]
nomatch_pattern = [
{"RIGHT_ID": "quick", "RIGHT_ATTRS": {"ORTH": "NOMATCH"}},
]
matcher = DependencyMatcher(en_vocab)
mock = Mock()
matcher.add("pattern", [pattern], on_match=mock)
matcher.add("nomatch_pattern", [nomatch_pattern], on_match=mock)
matches = matcher(doc)
assert len(matches) == 1
mock.assert_called_once_with(matcher, doc, 0, matches)
# check that matches with and without callback are the same (#4590)
matcher2 = DependencyMatcher(en_vocab)
matcher2.add("pattern", [pattern])
matches2 = matcher2(doc)
assert matches == matches2
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@pytest.mark.parametrize("op,num_matches", [(".", 8), (".*", 20), (";", 8), (";*", 20)])
def test_dependency_matcher_precedence_ops(en_vocab, op, num_matches):
# two sentences to test that all matches are within the same sentence
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doc = Doc(
en_vocab,
words=["a", "b", "c", "d", "e"] * 2,
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heads=[0, 0, 0, 0, 0, 5, 5, 5, 5, 5],
deps=["dep"] * 10,
)
match_count = 0
for text in ["a", "b", "c", "d", "e"]:
pattern = [
{"RIGHT_ID": "1", "RIGHT_ATTRS": {"ORTH": text}},
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{"LEFT_ID": "1", "REL_OP": op, "RIGHT_ID": "2", "RIGHT_ATTRS": {}},
]
matcher = DependencyMatcher(en_vocab)
matcher.add("A", [pattern])
matches = matcher(doc)
match_count += len(matches)
for match in matches:
match_id, token_ids = match
# token_ids[0] op token_ids[1]
if op == ".":
assert token_ids[0] == token_ids[1] - 1
elif op == ";":
assert token_ids[0] == token_ids[1] + 1
elif op == ".*":
assert token_ids[0] < token_ids[1]
elif op == ";*":
assert token_ids[0] > token_ids[1]
# all tokens are within the same sentence
assert doc[token_ids[0]].sent == doc[token_ids[1]].sent
assert match_count == num_matches
@pytest.mark.parametrize(
"left,right,op,num_matches",
[
("fox", "jumped", "<", 1),
("the", "lazy", "<", 0),
("jumped", "jumped", "<", 0),
("fox", "jumped", ">", 0),
("fox", "lazy", ">", 1),
("lazy", "lazy", ">", 0),
("fox", "jumped", "<<", 2),
("jumped", "fox", "<<", 0),
("the", "fox", "<<", 2),
("fox", "jumped", ">>", 0),
("over", "the", ">>", 1),
("fox", "the", ">>", 2),
("fox", "jumped", ".", 1),
("lazy", "fox", ".", 1),
("the", "fox", ".", 0),
("the", "the", ".", 0),
("fox", "jumped", ";", 0),
("lazy", "fox", ";", 0),
("the", "fox", ";", 0),
("the", "the", ";", 0),
("quick", "fox", ".*", 2),
("the", "fox", ".*", 3),
("the", "the", ".*", 1),
("fox", "jumped", ";*", 1),
("quick", "fox", ";*", 0),
("the", "fox", ";*", 1),
("the", "the", ";*", 1),
("quick", "brown", "$+", 1),
("brown", "quick", "$+", 0),
("brown", "brown", "$+", 0),
("quick", "brown", "$-", 0),
("brown", "quick", "$-", 1),
("brown", "brown", "$-", 0),
("the", "brown", "$++", 1),
("brown", "the", "$++", 0),
("brown", "brown", "$++", 0),
("the", "brown", "$--", 0),
("brown", "the", "$--", 1),
("brown", "brown", "$--", 0),
("quick", "fox", "<++", 1),
("quick", "over", "<++", 0),
("over", "jumped", "<++", 0),
("the", "fox", "<++", 2),
("brown", "fox", "<--", 0),
("fox", "jumped", "<--", 0),
("fox", "over", "<--", 1),
("jumped", "over", ">++", 1),
("fox", "lazy", ">++", 0),
("over", "the", ">++", 0),
("brown", "fox", ">--", 0),
("fox", "brown", ">--", 1),
("jumped", "fox", ">--", 1),
("fox", "the", ">--", 2),
],
)
def test_dependency_matcher_ops(en_vocab, doc, left, right, op, num_matches):
right_id = right
if left == right:
right_id = right + "2"
pattern = [
{"RIGHT_ID": left, "RIGHT_ATTRS": {"LOWER": left}},
{
"LEFT_ID": left,
"REL_OP": op,
"RIGHT_ID": right_id,
"RIGHT_ATTRS": {"LOWER": right},
},
]
matcher = DependencyMatcher(en_vocab)
matcher.add("pattern", [pattern])
matches = matcher(doc)
assert len(matches) == num_matches
def test_dependency_matcher_long_matches(en_vocab, doc):
pattern = [
{"RIGHT_ID": "quick", "RIGHT_ATTRS": {"DEP": "amod", "OP": "+"}},
]
matcher = DependencyMatcher(en_vocab)
with pytest.raises(ValueError):
matcher.add("pattern", [pattern])
@pytest.mark.usefixtures("clean_underscore")
def test_dependency_matcher_span_user_data(en_tokenizer):
doc = en_tokenizer("a b c d e")
for token in doc:
token.head = doc[0]
token.dep_ = "a"
Token.set_extension("is_c", default=False)
doc[2]._.is_c = True
pattern = [
{"RIGHT_ID": "c", "RIGHT_ATTRS": {"_": {"is_c": True}}},
]
matcher = DependencyMatcher(en_tokenizer.vocab)
matcher.add("C", [pattern])
doc_matches = matcher(doc)
offset = 1
span_matches = matcher(doc[offset:])
for doc_match, span_match in zip(sorted(doc_matches), sorted(span_matches)):
assert doc_match[0] == span_match[0]
for doc_t_i, span_t_i in zip(doc_match[1], span_match[1]):
assert doc_t_i == span_t_i + offset
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@pytest.mark.issue(9263)
def test_dependency_matcher_order_issue(en_tokenizer):
# issue from #9263
doc = en_tokenizer("I like text")
doc[2].head = doc[1]
# this matches on attrs but not rel op
pattern1 = [
{"RIGHT_ID": "root", "RIGHT_ATTRS": {"ORTH": "like"}},
{
"LEFT_ID": "root",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {"ORTH": "text"},
"REL_OP": "<",
},
]
# this matches on rel op but not attrs
pattern2 = [
{"RIGHT_ID": "root", "RIGHT_ATTRS": {"ORTH": "like"}},
{
"LEFT_ID": "root",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {"ORTH": "fish"},
"REL_OP": ">",
},
]
matcher = DependencyMatcher(en_tokenizer.vocab)
# This should behave the same as the next pattern
matcher.add("check", [pattern1, pattern2])
matches = matcher(doc)
assert matches == []
# use a new matcher
matcher = DependencyMatcher(en_tokenizer.vocab)
# adding one at a time under same label gets a match
matcher.add("check", [pattern1])
matcher.add("check", [pattern2])
matches = matcher(doc)
assert matches == []
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@pytest.mark.issue(9263)
def test_dependency_matcher_remove(en_tokenizer):
# issue from #9263
doc = en_tokenizer("The red book")
doc[1].head = doc[2]
# this matches
pattern1 = [
{"RIGHT_ID": "root", "RIGHT_ATTRS": {"ORTH": "book"}},
{
"LEFT_ID": "root",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {"ORTH": "red"},
"REL_OP": ">",
},
]
# add and then remove it
matcher = DependencyMatcher(en_tokenizer.vocab)
matcher.add("check", [pattern1])
matcher.remove("check")
# this matches on rel op but not attrs
pattern2 = [
{"RIGHT_ID": "root", "RIGHT_ATTRS": {"ORTH": "flag"}},
{
"LEFT_ID": "root",
"RIGHT_ID": "r",
"RIGHT_ATTRS": {"ORTH": "blue"},
"REL_OP": ">",
},
]
# Adding this new pattern with the same label, which should not match
matcher.add("check", [pattern2])
matches = matcher(doc)
assert matches == []