I'm trying to make use the acceptor function for a matcher, and am getting behavior that I would not expect. My assumption is if an acceptor returns a falsy value (I'm using False), then a match should be rejected. The assertion below fails:
import spacy
from spacy.attrs import LOWER, ORTH
nlp = spacy.en.English()
text = u"""The golf club is broken"""
doc = nlp(text)
golf_pattern = [
{ ORTH: "golf"},
{ ORTH: "club"}
]
def return_false(doc, ent_id, label, start, end):
return False
matcher = spacy.matcher.Matcher(nlp.vocab)
matcher.add_entity('Sport_Equipment'
, acceptor=return_false
)
matcher.add_pattern("Sport_Equipment", golf_pattern)
match = matcher(doc)
assert match == []
Inspecting the match, the entity associated with the given ID does indeed have the correct acceptor function registered:
ent_id = match[0][0]
print matcher._acceptors.get(ent_id)
Your Environment
- Ubuntu
- Python Version: 2.7
- Spacy Version: 1.1.2
I'm trying to make use the acceptor function for a matcher, and am getting behavior that I would not expect. My assumption is if an acceptor returns a falsy value (I'm using False), then a match should be rejected. The assertion below fails:
Inspecting the match, the entity associated with the given ID does indeed have the correct acceptor function registered:
Your Environment