mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 18:36:36 +03:00
72 lines
2.7 KiB
Python
72 lines
2.7 KiB
Python
# -*- coding: utf-8 -*-
|
|
import pytest
|
|
import numpy
|
|
|
|
|
|
@pytest.mark.models
|
|
class TestModelSanity:
|
|
"""
|
|
This is to make sure the model works as expected. The tests make sure that
|
|
values are properly set.
|
|
Tests are not meant to evaluate the content of the output, only make sure
|
|
the output is formally okay.
|
|
"""
|
|
@pytest.fixture(scope='class', params=['en','de'])
|
|
def example(self, request, EN, DE):
|
|
assert EN.entity != None
|
|
assert DE.entity != None
|
|
if request.param == 'en':
|
|
doc = EN(u'There was a stranger standing at the big ' +
|
|
u'street talking to herself.')
|
|
elif request.param == 'de':
|
|
doc = DE(u'An der großen Straße stand eine merkwürdige ' +
|
|
u'Gestalt und führte Selbstgespräche.')
|
|
return doc
|
|
|
|
def test_tokenization(self, example):
|
|
# tokenization should split the document into tokens
|
|
assert len(example) > 1
|
|
|
|
def test_tagging(self, example):
|
|
# if tagging was done properly, pos tags shouldn't be empty
|
|
assert example.is_tagged
|
|
assert all( t.pos != 0 for t in example )
|
|
assert all( t.tag != 0 for t in example )
|
|
|
|
def test_parsing(self, example):
|
|
# if parsing was done properly
|
|
# - dependency labels shouldn't be empty
|
|
# - the head of some tokens should not be root
|
|
assert example.is_parsed
|
|
assert all( t.dep != 0 for t in example )
|
|
assert any( t.dep != i for i,t in enumerate(example) )
|
|
|
|
def test_ner(self, example):
|
|
# if ner was done properly, ent_iob shouldn't be empty
|
|
assert all([t.ent_iob != 0 for t in example])
|
|
|
|
def test_vectors(self, example):
|
|
# if vectors are available, they should differ on different words
|
|
# this isn't a perfect test since this could in principle fail
|
|
# in a sane model as well,
|
|
# but that's very unlikely and a good indicator if something is wrong
|
|
vector0 = example[0].vector
|
|
vector1 = example[1].vector
|
|
vector2 = example[2].vector
|
|
assert not numpy.array_equal(vector0,vector1)
|
|
assert not numpy.array_equal(vector0,vector2)
|
|
assert not numpy.array_equal(vector1,vector2)
|
|
|
|
def test_probs(self, example):
|
|
# if frequencies/probabilities are okay, they should differ for
|
|
# different words
|
|
# this isn't a perfect test since this could in principle fail
|
|
# in a sane model as well,
|
|
# but that's very unlikely and a good indicator if something is wrong
|
|
prob0 = example[0].prob
|
|
prob1 = example[1].prob
|
|
prob2 = example[2].prob
|
|
assert not prob0 == prob1
|
|
assert not prob0 == prob2
|
|
assert not prob1 == prob2
|