mirror of https://github.com/explosion/spaCy.git
61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
from __future__ import unicode_literals
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import pytest
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import numpy
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from spacy.vocab import Vocab
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from spacy.serialize.packer import _BinaryCodec
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from spacy.serialize.huffman import HuffmanCodec
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from spacy.serialize.bits import BitArray
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def test_binary():
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codec = _BinaryCodec()
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bits = BitArray()
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msg = numpy.array([0, 1, 0, 1, 1], numpy.int32)
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codec.encode(msg, bits)
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result = numpy.array([0, 0, 0, 0, 0], numpy.int32)
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bits.seek(0)
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codec.decode(bits, result)
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assert list(msg) == list(result)
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def test_attribute():
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freqs = {'the': 10, 'quick': 3, 'brown': 4, 'fox': 1, 'jumped': 5, 'over': 8,
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'lazy': 1, 'dog': 2, '.': 9}
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int_map = {'the': 0, 'quick': 1, 'brown': 2, 'fox': 3, 'jumped': 4, 'over': 5,
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'lazy': 6, 'dog': 7, '.': 8}
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codec = HuffmanCodec([(int_map[string], freq) for string, freq in freqs.items()])
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bits = BitArray()
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msg = numpy.array([1, 7], dtype=numpy.int32)
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msg_list = list(msg)
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codec.encode(msg, bits)
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result = numpy.array([0, 0], dtype=numpy.int32)
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bits.seek(0)
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codec.decode(bits, result)
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assert msg_list == list(result)
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def test_vocab_codec():
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vocab = Vocab()
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lex = vocab['dog']
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lex = vocab['the']
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lex = vocab['jumped']
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codec = HuffmanCodec([(lex.orth, lex.prob) for lex in vocab])
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bits = BitArray()
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ids = [vocab[s].orth for s in ('the', 'dog', 'jumped')]
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msg = numpy.array(ids, dtype=numpy.int32)
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msg_list = list(msg)
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codec.encode(msg, bits)
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result = numpy.array(range(len(msg)), dtype=numpy.int32)
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bits.seek(0)
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codec.decode(bits, result)
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assert msg_list == list(result)
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