spaCy/tests/spans/test_merge.py

50 lines
1.7 KiB
Python

from __future__ import unicode_literals
import pytest
@pytest.mark.models
def test_merge_tokens(EN):
tokens = EN(u'Los Angeles start.')
assert len(tokens) == 4
assert tokens[0].head.orth_ == 'Angeles'
assert tokens[1].head.orth_ == 'start'
tokens.merge(0, len('Los Angeles'), 'NNP', 'Los Angeles', 'GPE')
assert len(tokens) == 3
assert tokens[0].orth_ == 'Los Angeles'
assert tokens[0].head.orth_ == 'start'
@pytest.mark.models
def test_merge_heads(EN):
tokens = EN(u'I found a pilates class near work.')
assert len(tokens) == 8
tokens.merge(tokens[3].idx, tokens[4].idx + len(tokens[4]), tokens[4].tag_,
'pilates class', 'O')
assert len(tokens) == 7
assert tokens[0].head.i == 1
assert tokens[1].head.i == 1
assert tokens[2].head.i == 3
assert tokens[3].head.i == 1
assert tokens[4].head.i in [1, 3]
assert tokens[5].head.i == 4
def test_issue_54(EN):
text = u'Talks given by women had a slightly higher number of questions asked (3.2$\pm$0.2) than talks given by men (2.6$\pm$0.1).'
tokens = EN(text)
@pytest.mark.models
def test_np_merges(EN):
text = u'displaCy is a parse tool built with Javascript'
tokens = EN(text)
assert tokens[4].head.i == 1
tokens.merge(tokens[2].idx, tokens[4].idx + len(tokens[4]), u'NP', u'tool', u'O')
assert tokens[2].head.i == 1
tokens = EN('displaCy is a lightweight and modern dependency parse tree visualization tool built with CSS3 and JavaScript.')
ents = [(e[0].idx, e[-1].idx + len(e[-1]), e.label_, e.lemma_)
for e in tokens.ents]
for start, end, label, lemma in ents:
merged = tokens.merge(start, end, label, lemma, label)
assert merged != None, (start, end, label, lemma)