def set_timeouts(self, image_item, tenv_item):
self.upload_timeout = config.get_max(
image_item,
tenv_item,
'glance.upload_timeout',
self.LONG_OS_TIMEOUT
)
self.keypair_timeout = config.get_max(
image_item,
tenv_item,
'nova.keypair_timeout',
self.SHORT_OS_TIMEOUT
)
self.cleanup_timeout = config.get_max(
image_item,
tenv_item,
'nova.cleanup_timeout',
self.SHORT_OS_TIMEOUT
)
self.active_timeout = config.get_max(
image_item,
tenv_item,
'nova.active_timeout',
self.LONG_OS_TIMEOUT
)
self.create_timeout = config.get_max(
image_item,
tenv_item,
'nova.create_timeout',
self.LONG_OS_TIMEOUT
)
def wait_port(self, prep_os):
if 'wait_for_port' in self.image['tests']:
port = self.image['tests']['wait_for_port']
port_wait_timeout = config.get_max(
self.image,
self.test_env,
'tests.port_wait_timeout',
self.DEFAULT_PORT_WAIT_TIMEOUT
)
port_available = prep_os.wait_for_port(port, port_wait_timeout)
if not port_available:
self.check_if_keep_stuff_after_fail(prep_os)
raise PortWaitError("Timeout while waiting instance to accept connection on port %s." % port)
return True
else:
return False
import timeline
from logging_hook import get_logging_hook
import training_data as t_data
import config
import pkl
import logging # 如果不加logging
tf.logging._logger.setLevel(logging.INFO) # 和tf.logging，logging_hook信息就打印不出来
GO_TOKEN = 0
END_TOKEN = 1
UNK_TOKEN = 2
input_max_length, output_max_length = config.get_max()
model_dir = 'model/seq2seq'
def load_vocab(filename):
pklData = pkl.read(filename) # list ['我','是']
vocab = {}
for idx, item in enumerate(pklData):
vocab[item.strip()] = idx
return vocab # 一个对象{key,value} value是idx
def predict(est):
"""
因为把output当成feature传入，而不是labels
所以numpy_input_fn中y不填