mirror of
https://github.com/explosion/spaCy.git
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95 lines
3.3 KiB
Python
95 lines
3.3 KiB
Python
from __future__ import unicode_literals
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from spacy.attrs import HEAD
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import pytest
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import numpy
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def test_merge_tokens(EN):
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tokens = EN(u'Los Angeles start.')
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tokens.from_array([HEAD], numpy.asarray([[1, 1, 0, -1]], dtype='int32').T)
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assert len(tokens) == 4
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assert tokens[0].head.orth_ == 'Angeles'
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assert tokens[1].head.orth_ == 'start'
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tokens.merge(0, len('Los Angeles'), 'NNP', 'Los Angeles', 'GPE')
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assert len(tokens) == 3
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assert tokens[0].orth_ == 'Los Angeles'
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assert tokens[0].head.orth_ == 'start'
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@pytest.mark.models
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def test_merge_heads(EN):
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tokens = EN(u'I found a pilates class near work.')
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assert len(tokens) == 8
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tokens.merge(tokens[3].idx, tokens[4].idx + len(tokens[4]), tokens[4].tag_,
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'pilates class', 'O')
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assert len(tokens) == 7
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assert tokens[0].head.i == 1
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assert tokens[1].head.i == 1
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assert tokens[2].head.i == 3
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assert tokens[3].head.i == 1
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assert tokens[4].head.i in [1, 3]
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assert tokens[5].head.i == 4
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@pytest.mark.models
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def test_issue_54(EN):
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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).'
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tokens = EN(text)
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@pytest.mark.models
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def test_np_merges(EN):
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text = u'displaCy is a parse tool built with Javascript'
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tokens = EN(text)
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assert tokens[4].head.i == 1
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tokens.merge(tokens[2].idx, tokens[4].idx + len(tokens[4]), u'NP', u'tool', u'O')
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assert tokens[2].head.i == 1
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tokens = EN('displaCy is a lightweight and modern dependency parse tree visualization tool built with CSS3 and JavaScript.')
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ents = [(e[0].idx, e[-1].idx + len(e[-1]), e.label_, e.lemma_)
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for e in tokens.ents]
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for start, end, label, lemma in ents:
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merged = tokens.merge(start, end, label, lemma, label)
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assert merged != None, (start, end, label, lemma)
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tokens = EN(u'One test with entities like New York City so the ents list is not void')
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for span in tokens.ents:
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merged = span.merge()
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assert merged != None, (span.start, span.end, span.label_, span.lemma_)
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@pytest.mark.models
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def test_entity_merge(EN):
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tokens = EN(u'Stewart Lee is a stand up comedian who lives in England and loves Joe Pasquale.\n')
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assert(len(tokens) == 17)
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for ent in tokens.ents:
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label, lemma, type_ = (ent.root.tag_, ent.root.lemma_, max(w.ent_type_ for w in ent))
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ent.merge(label, lemma, type_)
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# check looping is ok
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assert(len(tokens) == 15)
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@pytest.mark.models
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def test_sentence_update_after_merge(EN):
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tokens = EN(u'Stewart Lee is a stand up comedian. He lives in England and loves Joe Pasquale.')
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sent1, sent2 = list(tokens.sents)
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init_len = len(sent1)
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init_len2 = len(sent2)
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merge_me = tokens[0:2]
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merge_me.merge(u'none', u'none', u'none')
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merge_me2 = tokens[-2:]
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merge_me2.merge(u'none', u'none', u'none')
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assert(len(sent1) == init_len - 1)
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assert(len(sent2) == init_len2 - 1)
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@pytest.mark.models
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def test_subtree_size_check(EN):
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tokens = EN(u'Stewart Lee is a stand up comedian who lives in England and loves Joe Pasquale')
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sent1 = list(tokens.sents)[0]
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init_len = len(list(sent1.root.subtree))
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merge_me = tokens[0:2]
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merge_me.merge(u'none', u'none', u'none')
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assert(len(list(sent1.root.subtree)) == init_len - 1)
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