![parallels client timeout parallels client timeout](https://www.parallels.com/blogs/app/uploads/2018/06/Figure-3.png)
Will be imported, for instance: globals=globals() submit(self, *args) Submits function with *arg arguments to the execution queueĬopyright = 'Copyright (c) 2005-2012 Vitalii Vanovschi. Jobs_server - pp server for submitting jobs _init_(self, job_server, func, depfuncs =(), modules =(), callback =None, callbackargs =(), group ='default', globals =None) Creates Template instance If group is omitted waits for all jobs to finish default_port = 60000 default_secret = 'epo20pdosl dksldkmm' Will be imported, for instance: globals=globals() wait(self, group =None) Waits for all jobs in a given group to finish. Globals - dictionary from which all modules, functions and classes Group - job group, is used when wait(group) is called to wait for Modules - tuple with module names to importĬallback - callback function which will be called with argumentĬallbackargs - additional arguments for callback function It will be set to the number of processors in the system submit(self, func, args =(), depfuncs =(), modules =(), callback =None, callbackargs =(), group ='default', globals =None) Submits function to the execution queueĪrgs - tuple with arguments of the 'func'ĭepfuncs - tuple with functions which might be called from 'func' Ncpus - the number of worker processes, if parammeter is omitted Useful for benchmarking onĬlusters set_ncpus(self, ncpus ='autodetect') Sets the number of local worker processes (ppworkers) get_ncpus(self) Returns the number of local worker processes (ppworkers) get_stats(self) Returns job execution statistics as a dictionary print_stats(self) Prints job execution statistics. Or set ncpus to the total number of processors in the system destroy(self) Kills ppworkers and closes open files get_active_nodes(self) Returns active nodes as a dictionary With ncpus = 1 all tasks are executed consequentlyįor the best performance either use the default "autodetect" value If you have long running jobs or decrease if connectivity
![parallels client timeout parallels client timeout](https://download.parallels.com/ras/v17/docs/en_US/Parallels-Client-for-Windows-v17-User-Guide/win-options-general.png)
Proto - protocol number for pickle module socket_timeout - socket timeout in seconds which is also the maximum Restart - whether to restart worker process after each task completion
![parallels client timeout parallels client timeout](https://www.parallels.com/blogs/ras/app/uploads/2018/07/16-768x512.png)
It's highly recommended to use aĬustom passphrase for all network connections. Secret - passphrase for network connections, if omitted a default Ppservers - list of active parallel python execution servers _init_(self, ncpus ='autodetect', ppservers =(), secret =None, restart =False, proto =2, socket_timeout =3600) Creates Server instance ncpus - the number of worker processes to start on the localĬomputer, if parameter is omitted it will be set to Parallel Python SMP execution server class Quick start guide, clusters with auto-discovery