mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 10:26:35 +03:00
61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
from __future__ import unicode_literals
|
|
import pytest
|
|
|
|
import numpy
|
|
|
|
from spacy.vocab import Vocab
|
|
from spacy.serialize.packer import _BinaryCodec
|
|
from spacy.serialize.huffman import HuffmanCodec
|
|
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 = HuffmanCodec([(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():
|
|
vocab = Vocab()
|
|
lex = vocab['dog']
|
|
lex = vocab['the']
|
|
lex = vocab['jumped']
|
|
|
|
codec = HuffmanCodec([(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)
|