spaCy/spacy/tests/doc/test_doc_api.py

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# coding: utf-8
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from __future__ import unicode_literals
from ..util import get_doc
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import pytest
import numpy
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@pytest.mark.parametrize('text', [["one", "two", "three"]])
def test_doc_api_compare_by_string_position(en_vocab, text):
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
token3 = doc[-1]
token2 = doc[-2]
token1 = doc[-1]
token1, token2, token3 = doc
assert token1 < token2 < token3
assert not token1 > token2
assert token2 > token1
assert token2 <= token3
assert token3 >= token1
def test_doc_api_getitem(en_tokenizer):
text = "Give it back! He pleaded."
tokens = en_tokenizer(text)
assert tokens[0].text == 'Give'
assert tokens[-1].text == '.'
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with pytest.raises(IndexError):
tokens[len(tokens)]
def to_str(span):
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return '/'.join(token.text for token in span)
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span = tokens[1:1]
assert not to_str(span)
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span = tokens[1:4]
assert to_str(span) == 'it/back/!'
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span = tokens[1:4:1]
assert to_str(span) == 'it/back/!'
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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)
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span = tokens[1:4]
assert span[0].orth_ == 'it'
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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)
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@pytest.mark.parametrize('text', ["Give it back! He pleaded.",
" Give it back! He pleaded. "])
def test_doc_api_serialize(en_tokenizer, text):
tokens = en_tokenizer(text)
new_tokens = get_doc(tokens.vocab).from_bytes(tokens.to_bytes())
assert tokens.string == new_tokens.string
assert [t.text for t in tokens] == [t.text for t in new_tokens]
assert [t.orth for t in tokens] == [t.orth for t in new_tokens]
def test_doc_api_set_ents(en_tokenizer):
text = "I use goggle chrone to surf the web"
tokens = en_tokenizer(text)
assert len(tokens.ents) == 0
tokens.ents = [(tokens.vocab.strings['PRODUCT'], 2, 4)]
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]
assert tokens.ents[0].label_ == 'PRODUCT'
assert tokens.ents[0].start == 2
assert tokens.ents[0].end == 4
def test_doc_api_merge(en_tokenizer):
text = "WKRO played songs by the beach boys all night"
# merge 'The Beach Boys'
doc = en_tokenizer(text)
assert len(doc) == 9
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'
# merge 'all night'
doc = en_tokenizer(text)
assert len(doc) == 9
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'
def test_doc_api_merge_children(en_tokenizer):
"""Test that attachments work correctly after merging."""
text = "WKRO played songs by the beach boys all night"
doc = en_tokenizer(text)
assert len(doc) == 9
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_doc_api_merge_hang(en_tokenizer):
text = "through North and South Carolina"
doc = en_tokenizer(text)
doc.merge(18, 32, '', '', 'ORG')
doc.merge(8, 32, '', '', 'ORG')
def test_doc_api_sents_empty_string(en_tokenizer):
doc = en_tokenizer("")
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doc.is_parsed = True
sents = list(doc.sents)
assert len(sents) == 0
def test_doc_api_runtime_error(en_tokenizer):
# Example that caused run-time error while parsing Reddit
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"
deps = ['nsubj', 'prep', 'amod', 'pobj', 'ROOT', 'amod', 'attr', '',
'nummod', 'prep', 'det', 'amod', 'pobj', 'acl', 'prep', 'prep',
'pobj', '', 'nummod', 'prep', 'det', 'amod', 'pobj', 'aux', 'neg',
'ROOT', 'amod', 'dobj']
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, [t.text for t in tokens], deps=deps)
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:
doc.merge(*np)
def test_doc_api_right_edge(en_tokenizer):
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"""Test for bug occurring from Unshift action, causing incorrect right edge"""
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."
heads = [2, 1, 0, -1, -1, -3, 15, 1, -2, -1, 1, -3, -1, -1, 1, -2, -1, 1,
-2, -7, 1, -19, 1, -2, -3, 2, 1, -3, -26]
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, [t.text for t in tokens], heads=heads)
assert doc[6].text == 'for'
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', ',']
assert doc[6].right_edge.text == ','
@pytest.mark.parametrize('text,vectors', [
("apple orange pear", ["apple -1 -1 -1", "orange -1 -1 0", "pear -1 0 -1"])
])
def test_doc_api_has_vector(en_tokenizer, text_file, text, vectors):
text_file.write('\n'.join(vectors))
text_file.seek(0)
vector_length = en_tokenizer.vocab.load_vectors(text_file)
assert vector_length == 3
doc = en_tokenizer(text)
assert doc.has_vector
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def test_parse_tree(en_tokenizer):
"""Tests doc.print_tree() method."""
text = 'I like New York in Autumn.'
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heads = [1, 0, 1, -2, -3, -1, -5]
tags = ['PRP', 'IN', 'NNP', 'NNP', 'IN', 'NNP', '.']
tokens = en_tokenizer(text)
doc = get_doc(tokens.vocab, [t.text for t in tokens], heads=heads, tags=tags)
# full method parse_tree(text) is a trivial composition
trees = doc.print_tree()
assert len(trees) > 0
tree = trees[0]
assert all(k in list(tree.keys()) for k in ['word', 'lemma', 'NE', 'POS_fine', 'POS_coarse', 'arc', 'modifiers'])
assert tree['word'] == 'like' # check root is correct