def __init__(self, host, port, spec = None, vhost = None):
self.host = host
self.port = port
if spec:
self.spec = spec
else:
from qpid_config import amqp_spec_0_9
self.spec = load(amqp_spec_0_9)
self.structs = StructFactory(self.spec)
self.sessions = {}
self.mechanism = None
self.response = None
self.locale = None
self.vhost = vhost
if self.vhost == None:
self.vhost = "/"
self.queues = {}
self.lock = threading.Lock()
self.closed = False
self.reason = None
self.started = threading.Event()
def init_spec(train_raw):
if OPTIONS.load_file:
print >> sys.stderr, 'Loading saved params from %s' % OPTIONS.load_file
spec = specutil.load(OPTIONS.load_file)
elif OPTIONS.train_data:
print >> sys.stderr, 'Initializing parameters...'
in_vocabulary = get_input_vocabulary(train_raw)
out_vocabulary = get_output_vocabulary(train_raw)
lexicon = get_lexicon()
spec = get_spec(in_vocabulary, out_vocabulary, lexicon)
else:
raise Exception('Must either provide parameters to load or training data.')
return spec
def init_spec(train_raw, databases):
if OPTIONS.load_file:
print >> sys.stderr, 'Loading saved params from %s' % OPTIONS.load_file
spec = specutil.load(OPTIONS.load_file)
elif OPTIONS.train_data:
print >> sys.stderr, 'Initializing parameters...'
in_vocabulary = get_input_vocabulary(train_raw)
out_vocabulary = get_output_vocabulary(OPTIONS.domain, databases)
#out_vocabulary = get_output_vocabulary(train_raw)
spec = get_spec(in_vocabulary, out_vocabulary)
else:
raise Exception('Must either provide parameters to load or training data.')
return spec
def init_spec(train_raw, dev_raw):
if OPTIONS.load_file:
print >> sys.stderr, 'Loading saved params from %s' % OPTIONS.load_file
spec = specutil.load(OPTIONS.load_file)
elif OPTIONS.train_data:
print >> sys.stderr, 'Initializing parameters...'
in_vocabulary = get_input_vocabulary(train_raw)
out_vocabulary = get_output_vocabulary(train_raw)
domain_stats_vocab = DomainStatsVocab(train_raw + dev_raw,
is_use=OPTIONS.domain_stats)
lexicon = get_lexicon()
spec = get_spec(in_vocabulary, out_vocabulary, lexicon,
domain_stats_vocab)
else:
raise Exception(
'Must either provide parameters to load or training data.')
return spec
def init_spec(train_raw):
if OPTIONS.load_file:
print >> sys.stderr, 'Loading saved params from %s' % OPTIONS.load_file
spec = specutil.load(OPTIONS.load_file)
elif OPTIONS.train_data:
print >> sys.stderr, 'Initializing parameters...'
numpy.random.seed(1)
domain_vocabulary = get_domain_vocabulary(train_raw)
out_vocabularies = get_output_vocabularies(train_raw)
numpy.random.seed(0)
in_vocabulary = get_input_vocabulary(train_raw)
out_vocabulary = get_output_vocabulary(train_raw)
lexicon = get_lexicon()
spec = get_spec(in_vocabulary, out_vocabulary, domain_vocabulary,
out_vocabularies, lexicon)
else:
raise Exception(
'Must either provide parameters to load or training data.')
return spec