mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
from ..util import get_doc, get_cosine
|
|
|
|
import numpy
|
|
import pytest
|
|
|
|
|
|
@pytest.fixture
|
|
def vectors():
|
|
return ("apple", [1, 2, 3], "orange", [-1, -2, -3])
|
|
|
|
|
|
@pytest.fixture()
|
|
def vocab(en_vocab, vectors):
|
|
word1, vec1, word2, vec2 = vectors
|
|
en_vocab.resize_vectors(3)
|
|
lex1 = en_vocab[word1]
|
|
lex2 = en_vocab[word2]
|
|
lex1.vector = vec1
|
|
lex2.vector = vec2
|
|
return en_vocab
|
|
|
|
|
|
def test_vectors_similarity_LL(vocab, vectors):
|
|
word1, vec1, word2, vec2 = vectors
|
|
lex1 = vocab[word1]
|
|
lex2 = vocab[word2]
|
|
assert lex1.has_vector
|
|
assert lex2.has_vector
|
|
assert lex1.vector_norm != 0
|
|
assert lex2.vector_norm != 0
|
|
assert lex1.vector[0] != lex2.vector[0] and lex1.vector[1] != lex2.vector[1]
|
|
assert numpy.isclose(lex1.similarity(lex2), get_cosine(vec1, vec2))
|
|
assert numpy.isclose(lex2.similarity(lex2), lex1.similarity(lex1))
|
|
|
|
|
|
def test_vectors_similarity_TT(vocab, vectors):
|
|
word1, vec1, word2, vec2 = vectors
|
|
doc = get_doc(vocab, words=[word1, word2])
|
|
assert doc[0].has_vector
|
|
assert doc[1].has_vector
|
|
assert doc[0].vector_norm != 0
|
|
assert doc[1].vector_norm != 0
|
|
assert doc[0].vector[0] != doc[1].vector[0] and doc[0].vector[1] != doc[1].vector[1]
|
|
assert numpy.isclose(doc[0].similarity(doc[1]), get_cosine(vec1, vec2))
|
|
assert numpy.isclose(doc[1].similarity(doc[0]), doc[0].similarity(doc[1]))
|
|
|
|
|
|
def test_vectors_similarity_TD(vocab, vectors):
|
|
word1, vec1, word2, vec2 = vectors
|
|
doc = get_doc(vocab, words=[word1, word2])
|
|
assert doc.similarity(doc[0]) == doc[0].similarity(doc)
|
|
|
|
|
|
def test_vectors_similarity_DS(vocab, vectors):
|
|
word1, vec1, word2, vec2 = vectors
|
|
doc = get_doc(vocab, words=[word1, word2])
|
|
assert doc.similarity(doc[:2]) == doc[:2].similarity(doc)
|
|
|
|
|
|
def test_vectors_similarity_TS(vocab, vectors):
|
|
word1, vec1, word2, vec2 = vectors
|
|
doc = get_doc(vocab, words=[word1, word2])
|
|
assert doc[:2].similarity(doc[0]) == doc[0].similarity(doc[:2])
|