本文整理汇总了Python中Network.Network.queue_weekly_csv方法的典型用法代码示例。如果您正苦于以下问题：Python Network.queue_weekly_csv方法的具体用法？Python Network.queue_weekly_csv怎么用？Python Network.queue_weekly_csv使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Network.Network的用法示例。
在下文中一共展示了Network.queue_weekly_csv方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from Network import Network [as 别名]
# 或者: from Network.Network import queue_weekly_csv [as 别名]
def main(argv):
# Arguments
network_path = '' # Default
level_path = ''
econ_path = ''
output_queue_wait_path = ''
output_weekly_queue_path = ''
asn_policy = ''
prio_policy = ''
weeks = 26
delay = -1
pr_dist = 'Constant'
variance = 0
range_window = 0
try:
opts, args = getopt.getopt(argv, "hn:l:e:a:p:w:d:q:o:r:v:i:")
except getopt.GetoptError:
print 'Simulation.py -n <network csv> -l <level csv> -e <econ csv> -a <assignment policy> ' \
'-p <priority policy> -w <weeks> -d <surge delay> -q <output csv> -o <output weekly queue> -r <probability distribution>' \
'-v <variance> -i <range window>'
sys.exit(2)
# Initialize simpy environment
env = simpy.Environment()
# Build Network
# This will be done via the CSV later
for opt, arg in opts:
if opt == '-h':
print 'Simulation.py -n <network csv> -l <level csv> -e <econ csv> -a <assignment policy> ' \
'-p <priority policy> -w <weeks> -d <surge delay> -q <output csv> -o <output weekly queue> -r <probability distribution>' \
'-v <variance> -i <range window>'
print '-a: Uniform, Deterministic Wait, Deterministic Service\n'
print '-p: FIFO, Centre, Refugee, Balance'
print '-r: Constant, Uniform, Normal, Exponential'
return
elif opt == '-n':
network_path = arg
elif opt == '-l':
level_path = arg
elif opt == '-e':
econ_path = arg
elif opt == '-a':
asn_policy = arg
elif opt == '-p':
prio_policy = arg
elif opt == '-q':
output_queue_wait_path = arg
elif opt == '-o':
output_weekly_queue_path = arg
elif opt == '-w':
weeks = int(arg)
elif opt == '-d':
delay = int(arg)
elif opt == '-r':
pr_dist = arg
elif opt == '-v':
variance = int(arg)
elif opt == '-i':
range_window = int(arg)
if delay == -1:
delay = weeks
# Build network
network = Network(env, network_path)
network.set_level_arrival(level_path)
network.asn_policy = asn_policy
# Set Class Time distribution
Member.pr_dist = pr_dist
Member.variance = variance
Member.range_window = range_window
# Set priority policy
QueueNode.priority_policy = prio_policy
Network.service_rate = SERVICE_RATE
QueueNode.service_rate = SERVICE_RATE
# Set up the Member proportions
Member.set_priority_class(econ_path)
# Set Member csvs
Member.queue_csv = output_queue_wait_path
Member.begin_csv()
network.queue_weekly_csv = output_weekly_queue_path
network.initialize_queue_csv()
# Run simulation for 104+ weeks -> ~ 2 years
env.process(network.arrival())
env.process(network.refugee_surge(delay))
env.process(network.print_network_queues())
env.run(until=weeks)
Member.end_csv()
network.close_queue_csv()