from __future__ import unicode_literals from spacy.tokens import Doc from spacy.en import English import numpy from spacy.attrs import HEAD import pytest @pytest.mark.models def test_getitem(EN): tokens = EN(u'Give it back! He pleaded.') assert tokens[0].orth_ == 'Give' assert tokens[-1].orth_ == '.' with pytest.raises(IndexError): tokens[len(tokens)] def to_str(span): return '/'.join(token.orth_ for token in span) span = tokens[1:1] assert not to_str(span) span = tokens[1:4] assert to_str(span) == 'it/back/!' span = tokens[1:4:1] assert to_str(span) == 'it/back/!' with pytest.raises(ValueError): tokens[1:4:2] with pytest.raises(ValueError): tokens[1:4:-1] span = tokens[-3:6] assert to_str(span) == 'He/pleaded' span = tokens[4:-1] assert to_str(span) == 'He/pleaded' span = tokens[-5:-3] assert to_str(span) == 'back/!' span = tokens[5:4] assert span.start == span.end == 5 and not to_str(span) span = tokens[4:-3] assert span.start == span.end == 4 and not to_str(span) span = tokens[:] assert to_str(span) == 'Give/it/back/!/He/pleaded/.' span = tokens[4:] assert to_str(span) == 'He/pleaded/.' span = tokens[:4] assert to_str(span) == 'Give/it/back/!' span = tokens[:-3] assert to_str(span) == 'Give/it/back/!' span = tokens[-3:] assert to_str(span) == 'He/pleaded/.' span = tokens[4:50] assert to_str(span) == 'He/pleaded/.' span = tokens[-50:4] assert to_str(span) == 'Give/it/back/!' span = tokens[-50:-40] assert span.start == span.end == 0 and not to_str(span) span = tokens[40:50] assert span.start == span.end == 7 and not to_str(span) span = tokens[1:4] assert span[0].orth_ == 'it' subspan = span[:] assert to_str(subspan) == 'it/back/!' subspan = span[:2] assert to_str(subspan) == 'it/back' subspan = span[1:] assert to_str(subspan) == 'back/!' subspan = span[:-1] assert to_str(subspan) == 'it/back' subspan = span[-2:] assert to_str(subspan) == 'back/!' subspan = span[1:2] assert to_str(subspan) == 'back' subspan = span[-2:-1] assert to_str(subspan) == 'back' subspan = span[-50:50] assert to_str(subspan) == 'it/back/!' subspan = span[50:-50] assert subspan.start == subspan.end == 4 and not to_str(subspan) @pytest.mark.models def test_serialize(EN): tokens = EN(u'Give it back! He pleaded.') packed = tokens.to_bytes() new_tokens = Doc(EN.vocab).from_bytes(packed) assert tokens.string == new_tokens.string assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens] assert [t.orth for t in tokens] == [t.orth for t in new_tokens] @pytest.mark.models def test_serialize_whitespace(EN): tokens = EN(u' Give it back! He pleaded. ') packed = tokens.to_bytes() new_tokens = Doc(EN.vocab).from_bytes(packed) assert tokens.string == new_tokens.string assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens] assert [t.orth for t in tokens] == [t.orth for t in new_tokens] def test_set_ents(EN): tokens = EN.tokenizer(u'I use goggle chrone to surf the web') assert len(tokens.ents) == 0 tokens.ents = [(EN.vocab.strings['PRODUCT'], 2, 4)] assert len(list(tokens.ents)) == 1 assert [t.ent_iob for t in tokens] == [0, 0, 3, 1, 0, 0, 0, 0] ent = tokens.ents[0] assert ent.label_ == 'PRODUCT' assert ent.start == 2 assert ent.end == 4 def test_merge(EN): doc = EN('WKRO played songs by the beach boys all night') assert len(doc) == 9 # merge 'The Beach Boys' doc.merge(doc[4].idx, doc[6].idx + len(doc[6]), 'NAMED', 'LEMMA', 'TYPE') assert len(doc) == 7 assert doc[4].text == 'the beach boys' assert doc[4].text_with_ws == 'the beach boys ' assert doc[4].tag_ == 'NAMED' def test_merge_end_string(EN): doc = EN('WKRO played songs by the beach boys all night') assert len(doc) == 9 # merge 'The Beach Boys' doc.merge(doc[7].idx, doc[8].idx + len(doc[8]), 'NAMED', 'LEMMA', 'TYPE') assert len(doc) == 8 assert doc[7].text == 'all night' assert doc[7].text_with_ws == 'all night' @pytest.mark.models def test_merge_children(EN): """Test that attachments work correctly after merging.""" doc = EN('WKRO played songs by the beach boys all night') # merge 'The Beach Boys' doc.merge(doc[4].idx, doc[6].idx + len(doc[6]), 'NAMED', 'LEMMA', 'TYPE') for word in doc: if word.i < word.head.i: assert word in list(word.head.lefts) elif word.i > word.head.i: assert word in list(word.head.rights) def test_merge_hang(): text = 'through North and South Carolina' EN = English(parser=False) doc = EN(text, tag=True) heads = numpy.asarray([[0, 3, -1, -2, -4]], dtype='int32') doc.from_array([HEAD], heads.T) doc.merge(18, 32, '', '', 'ORG') doc.merge(8, 32, '', '', 'ORG') @pytest.mark.models def test_runtime_error(EN): # Example that caused run-time error while parsing Reddit text = u'67% of black households are single parent \n\n72% of all black babies born out of wedlock \n\n50% of all black kids don\u2019t finish high school' doc = EN(text) nps = [] for np in doc.noun_chunks: while len(np) > 1 and np[0].dep_ not in ('advmod', 'amod', 'compound'): np = np[1:] if len(np) > 1: nps.append((np.start_char, np.end_char, np.root.tag_, np.text, np.root.ent_type_)) for np in nps: print(np) for word in doc: print(word.idx, word.text, word.head.i, word.head.text) doc.merge(*np) @pytest.mark.models def test_right_edge(EN): # Test for bug occurring from Unshift action, causing incorrect right edge doc = EN(u'''I have proposed to myself, for the sake of such as live ''' u'''under the government of the Romans, to translate those books ''' u'''into the Greek tongue.''') token = doc[6] assert token.text == u'for' subtree = [w.text for w in token.subtree] assert subtree == [u'for' , u'the', u'sake', u'of', u'such', u'as', u'live', u'under', u'the', u'government', u'of', u'the', u'Romans', u','] assert token.right_edge.text == u',' @pytest.mark.vectors def test_has_vector(EN): doc = EN(u'''apple orange pear''') assert doc.has_vector