SingleVisitListTaskRunner¶
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class
lsst.cp.pipe.utils.SingleVisitListTaskRunner(TaskClass, parsedCmd, doReturnResults=False)¶ Bases:
lsst.pipe.base.TaskRunnerSubclass of TaskRunner for tasks requiring a list of visits per dataRef.
This transforms the processed arguments generated by the ArgumentParser into the arguments expected by tasks which require a list of visits to be supplied for each dataRef, as is common in
lsst.cp.pipecode.Such tasks’ run() methods tend to take two arguments, one of which is the dataRef (as usual), and the other is the list of visits. This list is supplied on the command line as documented, and this class parses that, and passes the parsed version to the run() method.
See
lsst.pipe.base.TaskRunnerfor more information.Attributes Summary
TIMEOUTMethods Summary
__call__(args)Run the Task on a single target. getTargetList(parsedCmd, **kwargs)Parse the visit list and pass through explicitly. makeTask([parsedCmd, args])Create a Task instance. precall(parsedCmd)Hook for code that should run exactly once, before multiprocessing. prepareForMultiProcessing()Prepare this instance for multiprocessing run(parsedCmd)Run the task on all targets. runTask(task, dataRef, kwargs)Make the actual call to runDataReffor this task.Attributes Documentation
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TIMEOUT= 2592000¶
Methods Documentation
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__call__(args)¶ Run the Task on a single target.
Parameters: - args
Arguments for Task.runDataRef()
Returns: - struct :
lsst.pipe.base.Struct Contains these fields if
doReturnResultsisTrue:dataRef: the provided data reference.metadata: task metadata after execution of run.result: result returned by task run, orNoneif the task fails.exitStatus: 0 if the task completed successfully, 1 otherwise.
If
doReturnResultsisFalsethe struct contains:exitStatus: 0 if the task completed successfully, 1 otherwise.
Notes
This default implementation assumes that the
argsis a tuple containing a data reference and a dict of keyword arguments.Warning
If you override this method and wish to return something when
doReturnResultsisFalse, then it must be picklable to support multiprocessing and it should be small enough that pickling and unpickling do not add excessive overhead.
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static
getTargetList(parsedCmd, **kwargs)¶ Parse the visit list and pass through explicitly.
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makeTask(parsedCmd=None, args=None)¶ Create a Task instance.
Parameters: - parsedCmd
Parsed command-line options (used for extra task args by some task runners).
- args
Args tuple passed to
TaskRunner.__call__(used for extra task arguments by some task runners).
Notes
makeTaskcan be called with either theparsedCmdargument orargsargument set to None, but it must construct identical Task instances in either case.Subclasses may ignore this method entirely if they reimplement both
TaskRunner.precallandTaskRunner.__call__.
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precall(parsedCmd)¶ Hook for code that should run exactly once, before multiprocessing.
Notes
Must return True if
TaskRunner.__call__should subsequently be called.Warning
Implementations must take care to ensure that no unpicklable attributes are added to the TaskRunner itself, for compatibility with multiprocessing.
The default implementation writes package versions, schemas and configs, or compares them to existing files on disk if present.
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prepareForMultiProcessing()¶ Prepare this instance for multiprocessing
Optional non-picklable elements are removed.
This is only called if the task is run under multiprocessing.
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run(parsedCmd)¶ Run the task on all targets.
Parameters: - parsedCmd :
argparse.Namespace Parsed command
argparse.Namespace.
Returns: Notes
The task is run under multiprocessing if
TaskRunner.numProcessesis more than 1; otherwise processing is serial.- parsedCmd :
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runTask(task, dataRef, kwargs)¶ Make the actual call to
runDataReffor this task.Parameters: - task :
lsst.pipe.base.CmdLineTaskclass The class of the task to run.
- dataRef
Butler data reference that contains the data the task will process.
- kwargs
Any additional keyword arguments. See
TaskRunner.getTargetListabove.
Notes
The default implementation of
TaskRunner.runTaskworks for any command-line task which has arunDataRefmethod that takes a data reference and an optional set of additional keyword arguments. This method returns the results generated by the task’srunDataRefmethod.- task :
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