mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-28 02:46:35 +03:00
7e4cd7575c
* Refactor Docs.is_ flags
* Add derived `Doc.has_annotation` method
* `Doc.has_annotation(attr)` returns `True` for partial annotation
* `Doc.has_annotation(attr, require_complete=True)` returns `True` for
complete annotation
* Add deprecation warnings to `is_tagged`, `is_parsed`, `is_sentenced`
and `is_nered`
* Add `Doc._get_array_attrs()`, which returns a full list of `Doc` attrs
for use with `Doc.to_array`, `Doc.to_bytes` and `Doc.from_docs`. The
list is the `DocBin` attributes list plus `SPACY` and `LENGTH`.
Notes on `Doc.has_annotation`:
* `HEAD` is converted to `DEP` because heads don't have an unset state
* Accept `IS_SENT_START` as a synonym of `SENT_START`
Additional changes:
* Add `NORM`, `ENT_ID` and `SENT_START` to default attributes for
`DocBin`
* In `Doc.from_array()` the presence of `DEP` causes `HEAD` to override
`SENT_START`
* In `Doc.from_array()` using `attrs` other than
`Doc._get_array_attrs()` (i.e., a user's custom list rather than our
default internal list) with both `HEAD` and `SENT_START` shows a warning
that `HEAD` will override `SENT_START`
* `set_children_from_heads` does not require dependency labels to set
sentence boundaries and sets `sent_start` for all non-sentence starts to
`-1`
* Fix call to set_children_form_heads
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
322 lines
11 KiB
Python
322 lines
11 KiB
Python
import pytest
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import srsly
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from mock import Mock
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from spacy.matcher import PhraseMatcher
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from spacy.tokens import Doc, Span
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from ..util import get_doc
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def test_matcher_phrase_matcher(en_vocab):
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doc = Doc(en_vocab, words=["I", "like", "Google", "Now", "best"])
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# intermediate phrase
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pattern = Doc(en_vocab, words=["Google", "Now"])
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matcher = PhraseMatcher(en_vocab)
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matcher.add("COMPANY", [pattern])
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assert len(matcher(doc)) == 1
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# initial token
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pattern = Doc(en_vocab, words=["I"])
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matcher = PhraseMatcher(en_vocab)
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matcher.add("I", [pattern])
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assert len(matcher(doc)) == 1
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# initial phrase
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pattern = Doc(en_vocab, words=["I", "like"])
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matcher = PhraseMatcher(en_vocab)
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matcher.add("ILIKE", [pattern])
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assert len(matcher(doc)) == 1
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# final token
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pattern = Doc(en_vocab, words=["best"])
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matcher = PhraseMatcher(en_vocab)
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matcher.add("BEST", [pattern])
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assert len(matcher(doc)) == 1
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# final phrase
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pattern = Doc(en_vocab, words=["Now", "best"])
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matcher = PhraseMatcher(en_vocab)
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matcher.add("NOWBEST", [pattern])
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assert len(matcher(doc)) == 1
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def test_phrase_matcher_length(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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assert len(matcher) == 0
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matcher.add("TEST", [Doc(en_vocab, words=["test"])])
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assert len(matcher) == 1
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matcher.add("TEST2", [Doc(en_vocab, words=["test2"])])
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assert len(matcher) == 2
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def test_phrase_matcher_contains(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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matcher.add("TEST", [Doc(en_vocab, words=["test"])])
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assert "TEST" in matcher
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assert "TEST2" not in matcher
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def test_phrase_matcher_add_new_api(en_vocab):
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doc = Doc(en_vocab, words=["a", "b"])
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patterns = [Doc(en_vocab, words=["a"]), Doc(en_vocab, words=["a", "b"])]
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matcher = PhraseMatcher(en_vocab)
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matcher.add("OLD_API", None, *patterns)
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assert len(matcher(doc)) == 2
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matcher = PhraseMatcher(en_vocab)
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on_match = Mock()
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matcher.add("OLD_API_CALLBACK", on_match, *patterns)
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assert len(matcher(doc)) == 2
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assert on_match.call_count == 2
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# New API: add(key: str, patterns: List[List[dict]], on_match: Callable)
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matcher = PhraseMatcher(en_vocab)
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matcher.add("NEW_API", patterns)
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assert len(matcher(doc)) == 2
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matcher = PhraseMatcher(en_vocab)
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on_match = Mock()
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matcher.add("NEW_API_CALLBACK", patterns, on_match=on_match)
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assert len(matcher(doc)) == 2
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assert on_match.call_count == 2
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def test_phrase_matcher_repeated_add(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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# match ID only gets added once
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matcher.add("TEST", [Doc(en_vocab, words=["like"])])
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matcher.add("TEST", [Doc(en_vocab, words=["like"])])
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matcher.add("TEST", [Doc(en_vocab, words=["like"])])
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matcher.add("TEST", [Doc(en_vocab, words=["like"])])
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doc = Doc(en_vocab, words=["I", "like", "Google", "Now", "best"])
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assert "TEST" in matcher
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assert "TEST2" not in matcher
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assert len(matcher(doc)) == 1
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def test_phrase_matcher_remove(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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matcher.add("TEST1", [Doc(en_vocab, words=["like"])])
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matcher.add("TEST2", [Doc(en_vocab, words=["best"])])
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doc = Doc(en_vocab, words=["I", "like", "Google", "Now", "best"])
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assert "TEST1" in matcher
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assert "TEST2" in matcher
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assert "TEST3" not in matcher
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assert len(matcher(doc)) == 2
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matcher.remove("TEST1")
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assert "TEST1" not in matcher
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assert "TEST2" in matcher
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assert "TEST3" not in matcher
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assert len(matcher(doc)) == 1
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matcher.remove("TEST2")
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assert "TEST1" not in matcher
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assert "TEST2" not in matcher
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assert "TEST3" not in matcher
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assert len(matcher(doc)) == 0
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with pytest.raises(KeyError):
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matcher.remove("TEST3")
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assert "TEST1" not in matcher
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assert "TEST2" not in matcher
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assert "TEST3" not in matcher
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assert len(matcher(doc)) == 0
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def test_phrase_matcher_overlapping_with_remove(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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matcher.add("TEST", [Doc(en_vocab, words=["like"])])
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# TEST2 is added alongside TEST
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matcher.add("TEST2", [Doc(en_vocab, words=["like"])])
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doc = Doc(en_vocab, words=["I", "like", "Google", "Now", "best"])
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assert "TEST" in matcher
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assert len(matcher) == 2
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assert len(matcher(doc)) == 2
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# removing TEST does not remove the entry for TEST2
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matcher.remove("TEST")
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assert "TEST" not in matcher
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assert len(matcher) == 1
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assert len(matcher(doc)) == 1
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assert matcher(doc)[0][0] == en_vocab.strings["TEST2"]
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# removing TEST2 removes all
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matcher.remove("TEST2")
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assert "TEST2" not in matcher
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assert len(matcher) == 0
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assert len(matcher(doc)) == 0
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def test_phrase_matcher_string_attrs(en_vocab):
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words1 = ["I", "like", "cats"]
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pos1 = ["PRON", "VERB", "NOUN"]
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words2 = ["Yes", ",", "you", "hate", "dogs", "very", "much"]
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pos2 = ["INTJ", "PUNCT", "PRON", "VERB", "NOUN", "ADV", "ADV"]
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pattern = get_doc(en_vocab, words=words1, pos=pos1)
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matcher = PhraseMatcher(en_vocab, attr="POS")
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matcher.add("TEST", [pattern])
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doc = get_doc(en_vocab, words=words2, pos=pos2)
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matches = matcher(doc)
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assert len(matches) == 1
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match_id, start, end = matches[0]
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assert match_id == en_vocab.strings["TEST"]
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assert start == 2
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assert end == 5
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def test_phrase_matcher_string_attrs_negative(en_vocab):
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"""Test that token with the control codes as ORTH are *not* matched."""
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words1 = ["I", "like", "cats"]
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pos1 = ["PRON", "VERB", "NOUN"]
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words2 = ["matcher:POS-PRON", "matcher:POS-VERB", "matcher:POS-NOUN"]
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pos2 = ["X", "X", "X"]
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pattern = get_doc(en_vocab, words=words1, pos=pos1)
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matcher = PhraseMatcher(en_vocab, attr="POS")
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matcher.add("TEST", [pattern])
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doc = get_doc(en_vocab, words=words2, pos=pos2)
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matches = matcher(doc)
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assert len(matches) == 0
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def test_phrase_matcher_bool_attrs(en_vocab):
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words1 = ["Hello", "world", "!"]
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words2 = ["No", "problem", ",", "he", "said", "."]
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pattern = Doc(en_vocab, words=words1)
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matcher = PhraseMatcher(en_vocab, attr="IS_PUNCT")
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matcher.add("TEST", [pattern])
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doc = Doc(en_vocab, words=words2)
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matches = matcher(doc)
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assert len(matches) == 2
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match_id1, start1, end1 = matches[0]
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match_id2, start2, end2 = matches[1]
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assert match_id1 == en_vocab.strings["TEST"]
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assert match_id2 == en_vocab.strings["TEST"]
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assert start1 == 0
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assert end1 == 3
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assert start2 == 3
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assert end2 == 6
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def test_phrase_matcher_validation(en_vocab):
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doc1 = Doc(en_vocab, words=["Test"])
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doc1[0].dep_ = "ROOT"
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doc2 = Doc(en_vocab, words=["Test"])
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doc2[0].tag_ = "TAG"
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doc2[0].pos_ = "X"
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doc2[0].morph_ = "Feat=Val"
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doc3 = Doc(en_vocab, words=["Test"])
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matcher = PhraseMatcher(en_vocab, validate=True)
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with pytest.warns(UserWarning):
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matcher.add("TEST1", [doc1])
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with pytest.warns(UserWarning):
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matcher.add("TEST2", [doc2])
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with pytest.warns(None) as record:
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matcher.add("TEST3", [doc3])
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assert not record.list
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matcher = PhraseMatcher(en_vocab, attr="POS", validate=True)
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with pytest.warns(None) as record:
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matcher.add("TEST4", [doc2])
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assert not record.list
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def test_attr_validation(en_vocab):
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with pytest.raises(ValueError):
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PhraseMatcher(en_vocab, attr="UNSUPPORTED")
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def test_attr_pipeline_checks(en_vocab):
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doc1 = Doc(en_vocab, words=["Test"])
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doc1[0].dep_ = "ROOT"
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doc2 = Doc(en_vocab, words=["Test"])
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doc2[0].tag_ = "TAG"
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doc2[0].pos_ = "X"
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doc2[0].morph_ = "Feat=Val"
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doc2[0].lemma_ = "LEMMA"
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doc3 = Doc(en_vocab, words=["Test"])
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# DEP requires DEP
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matcher = PhraseMatcher(en_vocab, attr="DEP")
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matcher.add("TEST1", [doc1])
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with pytest.raises(ValueError):
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matcher.add("TEST2", [doc2])
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with pytest.raises(ValueError):
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matcher.add("TEST3", [doc3])
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# TAG, POS, LEMMA require those values
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for attr in ("TAG", "POS", "LEMMA"):
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matcher = PhraseMatcher(en_vocab, attr=attr)
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matcher.add("TEST2", [doc2])
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with pytest.raises(ValueError):
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matcher.add("TEST1", [doc1])
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with pytest.raises(ValueError):
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matcher.add("TEST3", [doc3])
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# TEXT/ORTH only require tokens
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matcher = PhraseMatcher(en_vocab, attr="ORTH")
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matcher.add("TEST3", [doc3])
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matcher = PhraseMatcher(en_vocab, attr="TEXT")
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matcher.add("TEST3", [doc3])
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def test_phrase_matcher_callback(en_vocab):
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mock = Mock()
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doc = Doc(en_vocab, words=["I", "like", "Google", "Now", "best"])
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pattern = Doc(en_vocab, words=["Google", "Now"])
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matcher = PhraseMatcher(en_vocab)
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matcher.add("COMPANY", [pattern], on_match=mock)
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matches = matcher(doc)
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mock.assert_called_once_with(matcher, doc, 0, matches)
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def test_phrase_matcher_remove_overlapping_patterns(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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pattern1 = Doc(en_vocab, words=["this"])
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pattern2 = Doc(en_vocab, words=["this", "is"])
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pattern3 = Doc(en_vocab, words=["this", "is", "a"])
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pattern4 = Doc(en_vocab, words=["this", "is", "a", "word"])
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matcher.add("THIS", [pattern1, pattern2, pattern3, pattern4])
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matcher.remove("THIS")
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def test_phrase_matcher_basic_check(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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# Potential mistake: pass in pattern instead of list of patterns
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pattern = Doc(en_vocab, words=["hello", "world"])
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with pytest.raises(ValueError):
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matcher.add("TEST", pattern)
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def test_phrase_matcher_pickle(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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mock = Mock()
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matcher.add("TEST", [Doc(en_vocab, words=["test"])])
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matcher.add("TEST2", [Doc(en_vocab, words=["test2"])], on_match=mock)
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doc = Doc(en_vocab, words=["these", "are", "tests", ":", "test", "test2"])
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assert len(matcher) == 2
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b = srsly.pickle_dumps(matcher)
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matcher_unpickled = srsly.pickle_loads(b)
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# call after pickling to avoid recursion error related to mock
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matches = matcher(doc)
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matches_unpickled = matcher_unpickled(doc)
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assert len(matcher) == len(matcher_unpickled)
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assert matches == matches_unpickled
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# clunky way to vaguely check that callback is unpickled
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(vocab, docs, callbacks, attr) = matcher_unpickled.__reduce__()[1]
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assert isinstance(callbacks.get("TEST2"), Mock)
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def test_phrase_matcher_as_spans(en_vocab):
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"""Test the new as_spans=True API."""
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matcher = PhraseMatcher(en_vocab)
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matcher.add("A", [Doc(en_vocab, words=["hello", "world"])])
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matcher.add("B", [Doc(en_vocab, words=["test"])])
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doc = Doc(en_vocab, words=["...", "hello", "world", "this", "is", "a", "test"])
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matches = matcher(doc, as_spans=True)
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assert len(matches) == 2
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assert isinstance(matches[0], Span)
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assert matches[0].text == "hello world"
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assert matches[0].label_ == "A"
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assert isinstance(matches[1], Span)
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assert matches[1].text == "test"
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assert matches[1].label_ == "B"
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def test_phrase_matcher_deprecated(en_vocab):
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matcher = PhraseMatcher(en_vocab)
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matcher.add("TEST", [Doc(en_vocab, words=["helllo"])])
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doc = Doc(en_vocab, words=["hello", "world"])
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with pytest.warns(DeprecationWarning) as record:
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for _ in matcher.pipe([doc]):
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pass
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assert record.list
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assert "spaCy v3.0" in str(record.list[0].message)
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