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        LaunchParameters
These are parameters that can change with each job launch.
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 x.__init__(...) initializes x; see help(type(x)) for signature 
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 Sets cwd for job launch. This avoids a chdir command before calling launch potentially allowing for more than one launch from maestro. | 
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 Sets cwd for job launch. This avoids a chdir command before calling launch potentially allowing for more than one launch from maestro. | 
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 Sets a DRIVERHOST hostname. This is an artifact of when we supported remote and local drivers. NOTE: This option is ONLY utilized by toplevel.py since it only is used as an environment variable | 
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 -HOST argument typically refers to the HOST that will run the driver. This host is used to run subjobs. NOTE: This option is ONLY utilized by toplevel.py since it only is used as an environment variable | 
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 Hostname is the name of the host to run the job on. This name needs to correspond to something in schrodinger.hosts file or DNS-resolveable. 
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 Returns hostname is the name of the host to run the job on. This name needs to correspond to something in schrodinger.hosts file or DNS-resolveable. | 
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 Jobname is a non mandatory variable that can be used to indicate name of job in job record. 
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 Viewname is used by a maestro panel to identify a job as belonging to a panel. 
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 Viewname is used by a maestro panel to identify a job as belonging to a panel. 
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 Mark the state of project incorporation. 
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 Returns associated project for a job, marking which project should do the incorporation of results. 
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 Set associated project for a job, marking which project should do the incorporation of results. 
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 Set number of processors to allocate to a job. These may be across multiple nodes. Used by MPI jobs to indicate how many processors the queuing system needs to allocate. 
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 Set number of subjobs that a job could run. This is used by workflow jobs to indicate that a driver job might run and use subjobs. This value is NOT used by the queueing system, but can be accessed from inside the job. 
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 Get number of processors to allocate to a job. Used by MPI jobs. For example 4 processors = 4 nodes allocated by single jobs. | 
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 Get number of subjobs that a job may run. This value is used by product backend (not jobcontrol). In a workflow job, 4 process = 4 jobs running simultaneously. | 
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 Set number of processors on one node. Useful for OpenMP-type jobs, indicates to the queueing system to allocate the requisite number of processors on the same node.. 
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 Return number of processors on one node. Useful for OpenMP-type jobs, indicates to the queueing system to allocate the requisite number of processors on the same node. 
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 Set job to run detached, keeping the files on the remote server until explicitly downloaded. Only valid if your launching host machine has serverhost: in schrodinger.hosts entry (and serverhost is configured correctly) 
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 Sets the TPP option on the cmdline. This will not be used by the parent job unless jobUsesTPP is set in the job specification. | 
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 Return the number of slots we need to request for the queueing system. This value current maps to NPROC. If we don't know how many, return None. | 
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 Validate state of Launch Parameters (may throw RuntimeError) and return list of cmdline parameters. 
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 Converts LaunchParameters to environment. Not all parameters are supported. This option should be limited to use by toplevel.py if possible. | 
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 This consumes arguments from cmdline. The primary purpose is to consume arguments from toplevel $SCHRODINGER/run. @returns cmdline with options filtered out. | 
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