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Modernise Doc API tests and don't depend on models
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@ -1,39 +1,37 @@
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# coding: utf-8
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from __future__ import unicode_literals
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from spacy.tokens import Doc
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from spacy.en import English
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import numpy
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from spacy.attrs import HEAD
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from ...vocab import Vocab
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from ...tokens.doc import Doc
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from ..util import get_doc
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import pytest
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import numpy
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def test_tokens_compare_by_string_position():
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vocab = Vocab()
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doc = Doc(vocab, [u'one', u'two', u'three'])
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@pytest.mark.parametrize('text', [["one", "two", "three"]])
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def test_doc_api_compare_by_string_position(en_vocab, text):
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doc = get_doc(en_vocab, text)
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# Get the tokens in this order, so their ID ordering doesn't match the idx
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three = doc[-1]
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two = doc[-2]
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one = doc[-1]
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one, two, three = doc
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assert one < two < three
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assert not one > two
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assert two > one
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assert two <= three
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assert three >= one
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token3 = doc[-1]
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token2 = doc[-2]
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token1 = doc[-1]
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token1, token2, token3 = doc
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assert token1 < token2 < token3
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assert not token1 > token2
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assert token2 > token1
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assert token2 <= token3
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assert token3 >= token1
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@pytest.mark.models
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def test_getitem(EN):
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tokens = EN(u'Give it back! He pleaded.')
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assert tokens[0].orth_ == 'Give'
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assert tokens[-1].orth_ == '.'
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def test_doc_api_getitem(en_tokenizer):
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text = "Give it back! He pleaded."
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tokens = en_tokenizer(text)
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assert tokens[0].text == 'Give'
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assert tokens[-1].text == '.'
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with pytest.raises(IndexError):
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tokens[len(tokens)]
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def to_str(span):
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return '/'.join(token.orth_ for token in span)
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return '/'.join(token.text for token in span)
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span = tokens[1:1]
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assert not to_str(span)
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@ -99,68 +97,54 @@ def test_getitem(EN):
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assert subspan.start == subspan.end == 4 and not to_str(subspan)
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@pytest.mark.models
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def test_serialize(EN):
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tokens = EN(u'Give it back! He pleaded.')
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packed = tokens.to_bytes()
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new_tokens = Doc(EN.vocab).from_bytes(packed)
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@pytest.mark.parametrize('text', ["Give it back! He pleaded.",
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" Give it back! He pleaded. "])
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def test_doc_api_serialize(en_tokenizer, text):
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tokens = en_tokenizer(text)
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new_tokens = get_doc(tokens.vocab).from_bytes(tokens.to_bytes())
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assert tokens.string == new_tokens.string
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assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens]
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assert [t.text for t in tokens] == [t.text for t in new_tokens]
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assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
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@pytest.mark.models
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def test_serialize_whitespace(EN):
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tokens = EN(u' Give it back! He pleaded. ')
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packed = tokens.to_bytes()
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new_tokens = Doc(EN.vocab).from_bytes(packed)
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assert tokens.string == new_tokens.string
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assert [t.orth_ for t in tokens] == [t.orth_ for t in new_tokens]
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assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
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def test_set_ents(EN):
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tokens = EN.tokenizer(u'I use goggle chrone to surf the web')
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def test_doc_api_set_ents(en_tokenizer):
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text = "I use goggle chrone to surf the web"
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tokens = en_tokenizer(text)
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assert len(tokens.ents) == 0
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tokens.ents = [(EN.vocab.strings['PRODUCT'], 2, 4)]
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tokens.ents = [(tokens.vocab.strings['PRODUCT'], 2, 4)]
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assert len(list(tokens.ents)) == 1
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assert [t.ent_iob for t in tokens] == [0, 0, 3, 1, 0, 0, 0, 0]
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ent = tokens.ents[0]
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assert ent.label_ == 'PRODUCT'
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assert ent.start == 2
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assert ent.end == 4
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assert tokens.ents[0].label_ == 'PRODUCT'
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assert tokens.ents[0].start == 2
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assert tokens.ents[0].end == 4
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def test_merge(EN):
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doc = EN('WKRO played songs by the beach boys all night')
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def test_doc_api_merge(en_tokenizer):
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text = "WKRO played songs by the beach boys all night"
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assert len(doc) == 9
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# merge 'The Beach Boys'
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doc = en_tokenizer(text)
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assert len(doc) == 9
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doc.merge(doc[4].idx, doc[6].idx + len(doc[6]), 'NAMED', 'LEMMA', 'TYPE')
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assert len(doc) == 7
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assert doc[4].text == 'the beach boys'
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assert doc[4].text_with_ws == 'the beach boys '
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assert doc[4].tag_ == 'NAMED'
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def test_merge_end_string(EN):
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doc = EN('WKRO played songs by the beach boys all night')
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# merge 'all night'
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doc = en_tokenizer(text)
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assert len(doc) == 9
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# merge 'The Beach Boys'
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doc.merge(doc[7].idx, doc[8].idx + len(doc[8]), 'NAMED', 'LEMMA', 'TYPE')
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assert len(doc) == 8
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assert doc[7].text == 'all night'
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assert doc[7].text_with_ws == 'all night'
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@pytest.mark.models
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def test_merge_children(EN):
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def test_doc_api_merge_children(en_tokenizer):
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"""Test that attachments work correctly after merging."""
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doc = EN('WKRO played songs by the beach boys all night')
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# merge 'The Beach Boys'
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text = "WKRO played songs by the beach boys all night"
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doc = en_tokenizer(text)
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assert len(doc) == 9
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doc.merge(doc[4].idx, doc[6].idx + len(doc[6]), 'NAMED', 'LEMMA', 'TYPE')
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for word in doc:
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@ -170,28 +154,31 @@ def test_merge_children(EN):
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assert word in list(word.head.rights)
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def test_merge_hang():
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text = 'through North and South Carolina'
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EN = English(parser=False)
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doc = EN(text, tag=True)
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heads = numpy.asarray([[0, 3, -1, -2, -4]], dtype='int32')
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doc.from_array([HEAD], heads.T)
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def test_doc_api_merge_hang(en_tokenizer):
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text = "through North and South Carolina"
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doc = en_tokenizer(text)
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doc.merge(18, 32, '', '', 'ORG')
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doc.merge(8, 32, '', '', 'ORG')
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def test_sents_empty_string(EN):
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doc = EN(u'')
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def test_doc_api_sents_empty_string(en_tokenizer):
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doc = en_tokenizer("")
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doc.is_parsed = True
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sents = list(doc.sents)
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assert len(sents) == 0
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@pytest.mark.models
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def test_runtime_error(EN):
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def test_doc_api_runtime_error(en_tokenizer):
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# Example that caused run-time error while parsing Reddit
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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'
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doc = EN(text)
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text = "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"
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deps = ['nsubj', 'prep', 'amod', 'pobj', 'ROOT', 'amod', 'attr', '',
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'nummod', 'prep', 'det', 'amod', 'pobj', 'acl', 'prep', 'prep',
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'pobj', '', 'nummod', 'prep', 'det', 'amod', 'pobj', 'aux', 'neg',
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'ROOT', 'amod', 'dobj']
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deps)
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nps = []
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for np in doc.noun_chunks:
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while len(np) > 1 and np[0].dep_ not in ('advmod', 'amod', 'compound'):
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@ -205,20 +192,28 @@ def test_runtime_error(EN):
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doc.merge(*np)
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@pytest.mark.models
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def test_right_edge(EN):
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def test_doc_api_right_edge(en_tokenizer):
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# Test for bug occurring from Unshift action, causing incorrect right edge
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doc = EN(u'''I have proposed to myself, for the sake of such as live '''
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u'''under the government of the Romans, to translate those books '''
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u'''into the Greek tongue.''')
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token = doc[6]
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assert token.text == u'for'
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subtree = [w.text for w in token.subtree]
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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',']
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assert token.right_edge.text == u','
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text = "I have proposed to myself, for the sake of such as live under the government of the Romans, to translate those books into the Greek tongue."
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heads = [2, 1, 0, -1, -1, -3, 15, 1, -2, -1, 1, -3, -1, -1, 1, -2, -1, 1,
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-2, -7, 1, -19, 1, -2, -3, 2, 1, -3, -26]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, [t.text for t in tokens], heads=heads)
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assert doc[6].text == 'for'
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subtree = [w.text for w in doc[6].subtree]
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assert subtree == ['for' , 'the', 'sake', 'of', 'such', 'as', 'live', 'under', 'the', 'government', 'of', 'the', 'Romans', ',']
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assert doc[6].right_edge.text == ','
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@pytest.mark.vectors
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def test_has_vector(EN):
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doc = EN(u'''apple orange pear''')
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@pytest.mark.parametrize('text,vectors', [
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("apple orange pear", ["apple -1 -1 -1", "orange -1 -1 0", "pear -1 0 -1"])
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])
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def test_doc_api_has_vector(en_tokenizer, text_file, text, vectors):
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text_file.write('\n'.join(vectors))
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text_file.seek(0)
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vector_length = en_tokenizer.vocab.load_vectors(text_file)
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assert vector_length == 3
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doc = en_tokenizer(text)
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assert doc.has_vector
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