def test_packer_bad_chars(tokenizer):
string = u'naja gut, is eher bl\xf6d und nicht mit reddit.com/digg.com vergleichbar; vielleicht auf dem weg dahin'
packer = Packer(tokenizer.vocab, [])
doc = tokenizer(string)
bits = packer.pack(doc)
result = packer.unpack(bits)
assert result.string == doc.string
def test_serialize_empty_doc():
vocab = spacy.en.English.Defaults.create_vocab()
doc = Doc(vocab)
packer = Packer(vocab, {})
b = packer.pack(doc)
assert b == b''
loaded = Doc(vocab).from_bytes(b)
assert len(loaded) == 0
def test_packer_bad_chars(tokenizer):
string = u'naja gut, is eher bl\xf6d und nicht mit reddit.com/digg.com vergleichbar; vielleicht auf dem weg dahin'
packer = Packer(tokenizer.vocab, [])
doc = tokenizer(string)
bits = packer.pack(doc)
result = packer.unpack(bits)
assert result.string == doc.string
def test_packer_unannotated(tokenizer):
packer = Packer(tokenizer.vocab, [])
msg = tokenizer(u'the dog jumped')
assert msg.string == 'the dog jumped'
bits = packer.pack(msg)
result = packer.unpack(bits)
assert result.string == 'the dog jumped'
def test_packer_unannotated(tokenizer):
packer = Packer(tokenizer.vocab, [])
msg = tokenizer(u'the dog jumped')
assert msg.string == 'the dog jumped'
bits = packer.pack(msg)
result = packer.unpack(bits)
assert result.string == 'the dog jumped'
def test_packer_annotated(tokenizer):
vocab = tokenizer.vocab
nn = vocab.strings['NN']
dt = vocab.strings['DT']
vbd = vocab.strings['VBD']
jj = vocab.strings['JJ']
det = vocab.strings['det']
nsubj = vocab.strings['nsubj']
adj = vocab.strings['adj']
root = vocab.strings['ROOT']
attr_freqs = [(TAG, [(nn, 0.1), (dt, 0.2), (jj, 0.01), (vbd, 0.05)]),
(DEP, {
det: 0.2,
nsubj: 0.1,
adj: 0.05,
root: 0.1
}.items()),
(HEAD, {
0: 0.05,
1: 0.2,
-1: 0.2,
-2: 0.1,
2: 0.1
}.items())]
packer = Packer(vocab, attr_freqs)
msg = tokenizer(u'the dog jumped')
msg.from_array([TAG, DEP, HEAD],
numpy.array([[dt, det, 1], [nn, nsubj, 1], [vbd, root, 0]],
dtype=numpy.int32))
assert msg.string == 'the dog jumped'
assert [t.tag_ for t in msg] == ['DT', 'NN', 'VBD']
assert [t.dep_ for t in msg] == ['det', 'nsubj', 'ROOT']
assert [(t.head.i - t.i) for t in msg] == [1, 1, 0]
bits = packer.pack(msg)
result = packer.unpack(bits)
assert result.string == 'the dog jumped'
assert [t.tag_ for t in result] == ['DT', 'NN', 'VBD']
assert [t.dep_ for t in result] == ['det', 'nsubj', 'ROOT']
assert [(t.head.i - t.i) for t in result] == [1, 1, 0]
def test_char_packer(vocab):
packer = Packer(vocab, [])
bits = BitArray()
bits.seek(0)
byte_str = bytearray(b'the dog jumped')
packer.char_codec.encode(byte_str, bits)
bits.seek(0)
result = [b''] * len(byte_str)
packer.char_codec.decode(bits, result)
assert bytearray(result) == byte_str
def test_packer_annotated(tokenizer):
vocab = tokenizer.vocab
nn = vocab.strings['NN']
dt = vocab.strings['DT']
vbd = vocab.strings['VBD']
jj = vocab.strings['JJ']
det = vocab.strings['det']
nsubj = vocab.strings['nsubj']
adj = vocab.strings['adj']
root = vocab.strings['ROOT']
attr_freqs = [
(TAG, [(nn, 0.1), (dt, 0.2), (jj, 0.01), (vbd, 0.05)]),
(DEP, {det: 0.2, nsubj: 0.1, adj: 0.05, root: 0.1}.items()),
(HEAD, {0: 0.05, 1: 0.2, -1: 0.2, -2: 0.1, 2: 0.1}.items())
]
packer = Packer(vocab, attr_freqs)
msg = tokenizer(u'the dog jumped')
msg.from_array(
[TAG, DEP, HEAD],
numpy.array([
[dt, det, 1],
[nn, nsubj, 1],
[vbd, root, 0]
], dtype=numpy.int32))
assert msg.string == 'the dog jumped'
assert [t.tag_ for t in msg] == ['DT', 'NN', 'VBD']
assert [t.dep_ for t in msg] == ['det', 'nsubj', 'ROOT']
assert [(t.head.i - t.i) for t in msg] == [1, 1, 0]
bits = packer.pack(msg)
result = packer.unpack(bits)
assert result.string == 'the dog jumped'
assert [t.tag_ for t in result] == ['DT', 'NN', 'VBD']
assert [t.dep_ for t in result] == ['det', 'nsubj', 'ROOT']
assert [(t.head.i - t.i) for t in result] == [1, 1, 0]
