mirror of https://github.com/explosion/spaCy.git
202 lines
6.3 KiB
Python
202 lines
6.3 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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import numpy
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from spacy.attrs import IS_ALPHA, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_TITLE, IS_STOP
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from spacy.symbols import VERB
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from spacy.vocab import Vocab
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from spacy.tokens import Doc
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from ..util import get_doc
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@pytest.fixture
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def doc(en_tokenizer):
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# fmt: off
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text = "This is a sentence. This is another sentence. And a third."
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heads = [1, 0, 1, -2, -3, 1, 0, 1, -2, -3, 0, 1, -2, -1]
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deps = ["nsubj", "ROOT", "det", "attr", "punct", "nsubj", "ROOT", "det",
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"attr", "punct", "ROOT", "det", "npadvmod", "punct"]
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# fmt: on
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tokens = en_tokenizer(text)
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return get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps)
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def test_doc_token_api_strings(en_tokenizer):
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text = "Give it back! He pleaded."
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pos = ["VERB", "PRON", "PART", "PUNCT", "PRON", "VERB", "PUNCT"]
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heads = [0, -1, -2, -3, 1, 0, -1]
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deps = ["ROOT", "dobj", "prt", "punct", "nsubj", "ROOT", "punct"]
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tokens = en_tokenizer(text)
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doc = get_doc(
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tokens.vocab, words=[t.text for t in tokens], pos=pos, heads=heads, deps=deps
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)
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assert doc[0].orth_ == "Give"
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assert doc[0].text == "Give"
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assert doc[0].text_with_ws == "Give "
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assert doc[0].lower_ == "give"
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assert doc[0].shape_ == "Xxxx"
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assert doc[0].prefix_ == "G"
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assert doc[0].suffix_ == "ive"
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assert doc[0].pos_ == "VERB"
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assert doc[0].dep_ == "ROOT"
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def test_doc_token_api_flags(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].check_flag(IS_ALPHA)
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assert not tokens[0].check_flag(IS_DIGIT)
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assert tokens[0].check_flag(IS_TITLE)
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assert tokens[1].check_flag(IS_LOWER)
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assert tokens[3].check_flag(IS_PUNCT)
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assert tokens[2].check_flag(IS_STOP)
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assert not tokens[5].check_flag(IS_STOP)
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# TODO: Test more of these, esp. if a bug is found
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@pytest.mark.parametrize("text", ["Give it back! He pleaded."])
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def test_doc_token_api_prob_inherited_from_vocab(en_tokenizer, text):
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word = text.split()[0]
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en_tokenizer.vocab[word].prob = -1
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tokens = en_tokenizer(text)
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assert tokens[0].prob != 0
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@pytest.mark.parametrize("text", ["one two"])
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def test_doc_token_api_str_builtin(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert str(tokens[0]) == text.split(" ")[0]
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assert str(tokens[1]) == text.split(" ")[1]
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def test_doc_token_api_is_properties(en_vocab):
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doc = Doc(en_vocab, words=["Hi", ",", "my", "email", "is", "test@me.com"])
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assert doc[0].is_title
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assert doc[0].is_alpha
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assert not doc[0].is_digit
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assert doc[1].is_punct
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assert doc[3].is_ascii
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assert not doc[3].like_url
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assert doc[4].is_lower
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assert doc[5].like_email
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def test_doc_token_api_vectors():
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vocab = Vocab()
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vocab.reset_vectors(width=2)
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vocab.set_vector("apples", vector=numpy.asarray([0.0, 2.0], dtype="f"))
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vocab.set_vector("oranges", vector=numpy.asarray([0.0, 1.0], dtype="f"))
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doc = Doc(vocab, words=["apples", "oranges", "oov"])
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assert doc.has_vector
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assert doc[0].has_vector
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assert doc[1].has_vector
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assert not doc[2].has_vector
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apples_norm = (0 * 0 + 2 * 2) ** 0.5
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oranges_norm = (0 * 0 + 1 * 1) ** 0.5
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cosine = ((0 * 0) + (2 * 1)) / (apples_norm * oranges_norm)
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assert doc[0].similarity(doc[1]) == cosine
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def test_doc_token_api_ancestors(en_tokenizer):
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# the structure of this sentence depends on the English annotation scheme
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text = "Yesterday I saw a dog that barked loudly."
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heads = [2, 1, 0, 1, -2, 1, -2, -1, -6]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads)
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assert [t.text for t in doc[6].ancestors] == ["dog", "saw"]
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assert [t.text for t in doc[1].ancestors] == ["saw"]
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assert [t.text for t in doc[2].ancestors] == []
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assert doc[2].is_ancestor(doc[7])
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assert not doc[6].is_ancestor(doc[2])
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def test_doc_token_api_head_setter(en_tokenizer):
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# the structure of this sentence depends on the English annotation scheme
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text = "Yesterday I saw a dog that barked loudly."
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heads = [2, 1, 0, 1, -2, 1, -2, -1, -6]
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tokens = en_tokenizer(text)
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doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads)
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assert doc[6].n_lefts == 1
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assert doc[6].n_rights == 1
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assert doc[6].left_edge.i == 5
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assert doc[6].right_edge.i == 7
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assert doc[4].n_lefts == 1
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assert doc[4].n_rights == 1
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assert doc[4].left_edge.i == 3
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assert doc[4].right_edge.i == 7
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assert doc[3].n_lefts == 0
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assert doc[3].n_rights == 0
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assert doc[3].left_edge.i == 3
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assert doc[3].right_edge.i == 3
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assert doc[2].left_edge.i == 0
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assert doc[2].right_edge.i == 8
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doc[6].head = doc[3]
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assert doc[6].n_lefts == 1
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assert doc[6].n_rights == 1
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assert doc[6].left_edge.i == 5
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assert doc[6].right_edge.i == 7
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assert doc[3].n_lefts == 0
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assert doc[3].n_rights == 1
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assert doc[3].left_edge.i == 3
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assert doc[3].right_edge.i == 7
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assert doc[4].n_lefts == 1
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assert doc[4].n_rights == 0
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assert doc[4].left_edge.i == 3
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assert doc[4].right_edge.i == 7
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assert doc[2].left_edge.i == 0
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assert doc[2].right_edge.i == 8
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doc[0].head = doc[5]
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assert doc[5].left_edge.i == 0
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assert doc[6].left_edge.i == 0
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assert doc[3].left_edge.i == 0
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assert doc[4].left_edge.i == 0
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assert doc[2].left_edge.i == 0
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def test_is_sent_start(en_tokenizer):
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doc = en_tokenizer("This is a sentence. This is another.")
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assert doc[5].is_sent_start is None
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doc[5].is_sent_start = True
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assert doc[5].is_sent_start is True
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doc.is_parsed = True
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assert len(list(doc.sents)) == 2
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def test_set_pos():
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doc = Doc(Vocab(), words=["hello", "world"])
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doc[0].pos_ = "NOUN"
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assert doc[0].pos_ == "NOUN"
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doc[1].pos = VERB
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assert doc[1].pos_ == "VERB"
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def test_tokens_sent(doc):
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"""Test token.sent property"""
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assert len(list(doc.sents)) == 3
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assert doc[1].sent.text == "This is a sentence ."
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assert doc[7].sent.text == "This is another sentence ."
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assert doc[1].sent.root.left_edge.text == "This"
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assert doc[7].sent.root.left_edge.text == "This"
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def test_token0_has_sent_start_true():
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doc = Doc(Vocab(), words=["hello", "world"])
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assert doc[0].is_sent_start is True
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assert doc[1].is_sent_start is None
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assert not doc.is_sentenced
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