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