spaCy/tests/spans/test_merge.py

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, merge_mwes=True)

@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) 
    for tok in tokens:
        print tok.orth_, tok.dep_, tok.head.orth_