本文整理汇总了Python中multiprocessing.Process.sema方法的典型用法代码示例。如果您正苦于以下问题：Python Process.sema方法的具体用法？Python Process.sema怎么用？Python Process.sema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multiprocessing.Process的用法示例。
在下文中一共展示了Process.sema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: plotdata_run
# 需要导入模块: from multiprocessing import Process [as 别名]
# 或者: from multiprocessing.Process import sema [as 别名]
def plotdata_run( plotspec, filetable1, filetable2, varname, seasonname, outputPath, unique_ID, aux=None, newgrid=0 ):
"""Inputs:
plotspec is a plot_spec class to be instantiated
filetable1 is the model data file table
fileteable2 is the obs or reference model data file table
varname is a string representing the variable to be plotted
seasonname is a string representing the season for climatology to be presented
aux is an auxiliary option, if any
This function will spawn another process and return it as p, an instance of
multiprocessing.Process. This p will create a plotspec object and run its compute() method.
To check the status of p, call plotdata_status(p) to get a semaphore value (>0 means done).
To get the computed value, call plotdata_results(p).
"""
#logging.basicConfig(filename="diags.log",level=logging.INFO)
#log = logging.getLogger("diags")
sema = Semaphore()
#log.info("initial sema=%s"%sema)
parent_conn, child_conn = Pipe()
p = Process( target=_plotdata_run,
args=(child_conn, sema,
plotspec, filetable1, filetable2, varname, seasonname, outputPath,
unique_ID, aux, newgrid ) )
#log.info("initial p=%s"%(p))
#outfile=_plotdata_run(plotspec, filetable1, filetable2, varname, seasonname, outputPath,
# unique_ID, aux, newgrid)
#print outfile
"""
p = Process( target=_plotdata_run,
args=( plotspec, filetable1, filetable2, varname, seasonname, outputPath,
unique_ID, aux, newgrid ) )
"""
p.start()
p.sema = sema
#pid = p.pid
#p.join()
p.parent_conn = parent_conn
return p