spaCy/spacy/tests/test_pickles.py
Matthew Honnibal 793430aa7a Get spaCy train command working with neural network
* Integrate models into pipeline
* Add basic serialization (maybe incorrect)
* Fix pickle on vocab
2017-05-17 12:04:50 +02:00

36 lines
1.1 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
import pytest
import dill as pickle
from ..vocab import Vocab
from ..attrs import NORM
@pytest.mark.parametrize('text1,text2', [('hello', 'bye')])
def test_pickle_string_store(stringstore, text1, text2):
store1 = stringstore[text1]
store2 = stringstore[text2]
data = pickle.dumps(stringstore, protocol=-1)
unpickled = pickle.loads(data)
assert unpickled[text1] == store1
assert unpickled[text2] == store2
assert len(stringstore) == len(unpickled)
@pytest.mark.parametrize('text1,text2', [('dog', 'cat')])
def test_pickle_vocab(text1, text2):
vocab = Vocab(lex_attr_getters={int(NORM): lambda string: string[:-1]})
lex1 = vocab[text1]
lex2 = vocab[text2]
assert lex1.norm_ == text1[:-1]
assert lex2.norm_ == text2[:-1]
data = pickle.dumps(vocab)
unpickled = pickle.loads(data)
assert unpickled[text1].orth == lex1.orth
assert unpickled[text2].orth == lex2.orth
assert unpickled[text1].norm == lex1.norm
assert unpickled[text2].norm == lex2.norm
assert unpickled[text1].norm != unpickled[text2].norm