1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
|
from libcpp.string cimport string
from libcpp.vector cimport vector
from utils cimport *
cimport decoder
cdef char* as_str(data, char* error_msg='Cannot convert type %s to str'):
cdef bytes ret
if isinstance(data, unicode):
ret = data.encode('utf8')
elif isinstance(data, str):
ret = data
else:
raise TypeError(error_msg.format(type(data)))
return ret
include "vectors.pxi"
include "grammar.pxi"
include "hypergraph.pxi"
include "lattice.pxi"
include "mteval.pxi"
SetSilent(True)
decoder.register_feature_functions()
class InvalidConfig(Exception): pass
class ParseFailed(Exception): pass
def set_silent(yn):
SetSilent(yn)
def _make_config(config):
for key, value in config.items():
if isinstance(value, dict):
for name, info in value.items():
yield key, '%s %s' % (name, info)
elif isinstance(value, list):
for name in value:
yield key, name
else:
yield key, str(value)
cdef class Decoder:
cdef decoder.Decoder* dec
cdef DenseVector weights
def __cinit__(self, config_str=None, **config):
""" Configuration can be given as a string:
Decoder('formalism = scfg')
or using keyword arguments:
Decoder(formalism='scfg')
"""
if config_str is None:
formalism = config.get('formalism', None)
if formalism not in ('scfg', 'fst', 'lextrans', 'pb',
'csplit', 'tagger', 'lexalign'):
raise InvalidConfig('formalism "%s" unknown' % formalism)
config_str = '\n'.join('%s = %s' % kv for kv in _make_config(config))
cdef istringstream* config_stream = new istringstream(config_str)
self.dec = new decoder.Decoder(config_stream)
del config_stream
self.weights = DenseVector.__new__(DenseVector)
self.weights.vector = &self.dec.CurrentWeightVector()
self.weights.owned = True
def __dealloc__(self):
del self.dec
property weights:
def __get__(self):
return self.weights
def __set__(self, weights):
if isinstance(weights, DenseVector):
self.weights.vector[0] = (<DenseVector> weights).vector[0]
elif isinstance(weights, SparseVector):
self.weights.vector.clear()
((<SparseVector> weights).vector[0]).init_vector(self.weights.vector)
elif isinstance(weights, dict):
self.weights.vector.clear()
for fname, fval in weights.items():
self.weights[fname] = fval
else:
raise TypeError('cannot initialize weights with %s' % type(weights))
property formalism:
def __get__(self):
cdef variables_map* conf = &self.dec.GetConf()
return str(conf[0]['formalism'].as_str().c_str())
def read_weights(self, weights):
with open(weights) as fp:
for line in fp:
if line.strip().startswith('#'): continue
fname, value = line.split()
self.weights[fname.strip()] = float(value)
def translate(self, sentence, grammar=None):
cdef bytes input_str
if isinstance(sentence, unicode) or isinstance(sentence, str):
input_str = as_str(sentence.strip())
elif isinstance(sentence, Lattice):
input_str = str(sentence) # PLF format
else:
raise TypeError('Cannot translate input type %s' % type(sentence))
if grammar:
if isinstance(grammar, str) or isinstance(grammar, unicode):
self.dec.AddSupplementalGrammarFromString(string(as_str(grammar)))
else:
self.dec.AddSupplementalGrammar(TextGrammar(grammar).grammar[0])
cdef decoder.BasicObserver observer = decoder.BasicObserver()
self.dec.Decode(string(input_str), &observer)
if observer.hypergraph == NULL:
raise ParseFailed()
cdef Hypergraph hg = Hypergraph()
hg.hg = new hypergraph.Hypergraph(observer.hypergraph[0])
return hg
|
