from __future__ import unicode_literals import pytest import numpy from spacy.vocab import Vocab from spacy.serialize.packer import _BinaryCodec from spacy.serialize.packer import _AttributeCodec from spacy.serialize.bits import BitArray def test_binary(): codec = _BinaryCodec() bits = BitArray() msg = numpy.array([0, 1, 0, 1, 1], numpy.int32) codec.encode(msg, bits) result = numpy.array([0, 0, 0, 0, 0], numpy.int32) bits.seek(0) codec.decode(bits, result) assert list(msg) == list(result) def test_attribute(): freqs = {'the': 10, 'quick': 3, 'brown': 4, 'fox': 1, 'jumped': 5, 'over': 8, 'lazy': 1, 'dog': 2, '.': 9} int_map = {'the': 0, 'quick': 1, 'brown': 2, 'fox': 3, 'jumped': 4, 'over': 5, 'lazy': 6, 'dog': 7, '.': 8} codec = _AttributeCodec([(int_map[string], freq) for string, freq in freqs.items()]) bits = BitArray() msg = numpy.array([1, 7], dtype=numpy.int32) msg_list = list(msg) codec.encode(msg, bits) result = numpy.array([0, 0], dtype=numpy.int32) bits.seek(0) codec.decode(bits, result) assert msg_list == list(result) def test_vocab_codec(): def get_lex_props(string, prob): return { 'flags': 0, 'length': len(string), 'orth': string, 'lower': string, 'norm': string, 'shape': string, 'prefix': string[0], 'suffix': string[-3:], 'cluster': 0, 'prob': prob, 'sentiment': 0 } vocab = Vocab() vocab['dog'] = get_lex_props('dog', 0.001) vocab['the'] = get_lex_props('the', 0.05) vocab['jumped'] = get_lex_props('jumped', 0.005) codec = _AttributeCodec([(lex.orth, lex.prob) for lex in vocab]) bits = BitArray() ids = [vocab[s].orth for s in ('the', 'dog', 'jumped')] msg = numpy.array(ids, dtype=numpy.int32) msg_list = list(msg) codec.encode(msg, bits) result = numpy.array(range(len(msg)), dtype=numpy.int32) bits.seek(0) codec.decode(bits, result) assert msg_list == list(result)