# coding: utf8 from __future__ import unicode_literals import pytest from spacy.tokens import Doc from spacy.displacy import render from spacy.gold import iob_to_biluo from spacy.lang.it import Italian import numpy from ..util import add_vecs_to_vocab, get_doc def test_issue2179(): """Test that spurious 'extra_labels' aren't created when initializing NER.""" nlp = Italian() ner = nlp.create_pipe("ner") ner.add_label("CITIZENSHIP") nlp.add_pipe(ner) nlp.begin_training() nlp2 = Italian() nlp2.add_pipe(nlp2.create_pipe("ner")) nlp2.from_bytes(nlp.to_bytes()) assert "extra_labels" not in nlp2.get_pipe("ner").cfg assert nlp2.get_pipe("ner").labels == ("CITIZENSHIP",) def test_issue2219(en_vocab): vectors = [("a", [1, 2, 3]), ("letter", [4, 5, 6])] add_vecs_to_vocab(en_vocab, vectors) [(word1, vec1), (word2, vec2)] = vectors doc = Doc(en_vocab, words=[word1, word2]) assert doc[0].similarity(doc[1]) == doc[1].similarity(doc[0]) def test_issue2361(de_tokenizer): chars = ("<", ">", "&", """) doc = de_tokenizer('< > & " ') doc.is_parsed = True doc.is_tagged = True html = render(doc) for char in chars: assert char in html def test_issue2385(): """Test that IOB tags are correctly converted to BILUO tags.""" # fix bug in labels with a 'b' character tags1 = ("B-BRAWLER", "I-BRAWLER", "I-BRAWLER") assert iob_to_biluo(tags1) == ["B-BRAWLER", "I-BRAWLER", "L-BRAWLER"] # maintain support for iob1 format tags2 = ("I-ORG", "I-ORG", "B-ORG") assert iob_to_biluo(tags2) == ["B-ORG", "L-ORG", "U-ORG"] # maintain support for iob2 format tags3 = ("B-PERSON", "I-PERSON", "B-PERSON") assert iob_to_biluo(tags3) == ["B-PERSON", "L-PERSON", "U-PERSON"] @pytest.mark.parametrize( "tags", [ ("B-ORG", "L-ORG"), ("B-PERSON", "I-PERSON", "L-PERSON"), ("U-BRAWLER", "U-BRAWLER"), ], ) def test_issue2385_biluo(tags): """Test that BILUO-compatible tags aren't modified.""" assert iob_to_biluo(tags) == list(tags) def test_issue2396(en_vocab): words = ["She", "created", "a", "test", "for", "spacy"] heads = [1, 0, 1, -2, -1, -1] matrix = numpy.array( [ [0, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1], [1, 1, 2, 3, 3, 3], [1, 1, 3, 3, 3, 3], [1, 1, 3, 3, 4, 4], [1, 1, 3, 3, 4, 5], ], dtype=numpy.int32, ) doc = get_doc(en_vocab, words=words, heads=heads) span = doc[:] assert (doc.get_lca_matrix() == matrix).all() assert (span.get_lca_matrix() == matrix).all() def test_issue2482(): """Test we can serialize and deserialize a blank NER or parser model.""" nlp = Italian() nlp.add_pipe(nlp.create_pipe("ner")) b = nlp.to_bytes() Italian().from_bytes(b)