JointcalRunner

class lsst.jointcal.JointcalRunner(TaskClass, parsedCmd, doReturnResults=False)

Bases: lsst.pipe.base.ButlerInitializedTaskRunner

Subclass of TaskRunner for jointcalTask (gen2)

jointcalTask.runDataRef() takes a number of arguments, one of which is a list of dataRefs extracted from the command line (whereas most CmdLineTasks’ runDataRef methods take single dataRef, are are called repeatedly). This class transforms the processed arguments generated by the ArgumentParser into the arguments expected by Jointcal.runDataRef().

See pipeBase.TaskRunner for more information.

Attributes Summary

TIMEOUT

Methods Summary

__call__(args)	Parameters:
getTargetList(parsedCmd, **kwargs)	Return a list of tuples per tract, each containing (dataRefs, kwargs).
makeTask([parsedCmd, args])	A variant of the base version that passes a butler argument to the task’s constructor.
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 runDataRef for this task.

Attributes Documentation

TIMEOUT = 2592000

Methods Documentation

__call__(args)

Parameters:

args

Arguments for Task.runDataRef()

Returns:

pipe.base.Struct

if self.doReturnResults is False:

• exitStatus: 0 if the task completed successfully, 1 otherwise.

if self.doReturnResults is True:

• result: the result of calling jointcal.runDataRef()
• exitStatus: 0 if the task completed successfully, 1 otherwise.

static getTargetList(parsedCmd, **kwargs)

Return a list of tuples per tract, each containing (dataRefs, kwargs).

Jointcal operates on lists of dataRefs simultaneously.

makeTask(parsedCmd=None, args=None)

A variant of the base version that passes a butler argument to the task’s constructor.

Parameters:

parsedCmd : argparse.Namespace

Parsed command-line options, as returned by the ArgumentParser; if specified then args is ignored.

args

Other arguments; if parsedCmd is None then this must be specified.

Raises:

RuntimeError

Raised if parsedCmd and args are both None.

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.

prepareForMultiProcessing()

Prepare this instance for multiprocessing

Optional non-picklable elements are removed.

This is only called if the task is run under multiprocessing.

run(parsedCmd)

Run the task on all targets.

Parameters:

parsedCmd : argparse.Namespace

Parsed command argparse.Namespace.

Returns:

resultList : list

A list of results returned by TaskRunner.__call__, or an empty list if TaskRunner.__call__ is not called (e.g. if TaskRunner.precall returns False). See TaskRunner.__call__ for details.

Notes

The task is run under multiprocessing if TaskRunner.numProcesses is more than 1; otherwise processing is serial.

runTask(task, dataRef, kwargs)

Make the actual call to runDataRef for this task.

Parameters:

task : lsst.pipe.base.CmdLineTask class

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.getTargetList above.

Notes

The default implementation of TaskRunner.runTask works for any command-line task which has a runDataRef method that takes a data reference and an optional set of additional keyword arguments. This method returns the results generated by the task’s runDataRef method.