MakeWarpTask¶

class lsst.pipe.tasks.makeCoaddTempExp.MakeWarpTask(**kwargs)¶

Bases: lsst.pipe.tasks.makeWarp.MakeWarpTask

Deprecated since version v25.0: makeCoaddTempExp is deprecated. It will be removed after v25. Please use lsst.pipe.tasks.makeWarp.MakeWarpTask instead.

Attributes Summary

canMultiprocess

Methods Summary

`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`filterInputs`(indices, inputs)	Filter task inputs by their indices.
`getAllSchemaCatalogs`()	Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.
`getBadPixelMask`()	Convenience method to provide the bitmask from the mask plane names
`getFullMetadata`()	Get metadata for all tasks.
`getFullName`()	Get the task name as a hierarchical name including parent task names.
`getName`()	Get the name of the task.
`getResourceConfig`()	Return resource configuration for this task.
`getSchemaCatalogs`()	Get the schemas generated by this task.
`getSkyInfo`(patchRef)	Use getSkyinfo to return the skyMap, tract and patch information, wcs and the outer bbox of the patch.
`getTaskDict`()	Get a dictionary of all tasks as a shallow copy.
`getTempExpDatasetName`([warpType])	Return warp name for given warpType and task config
`getWarpTypeList`()	Return list of requested warp types per the config.
`makeField`(doc)	Make a `lsst.pex.config.ConfigurableField` for this task.
`makeSubtask`(name, **keyArgs)	Create a subtask as a new instance as the `name` attribute of this task.
`prepareCalibratedExposures`(calExpList[, …])	Calibrate and add backgrounds to input calExpList in place.
`run`(calExpList, ccdIdList, skyInfo[, …])	Create a Warp from inputs.
`runQuantum`(butlerQC, inputRefs, outputRefs)	Method to do butler IO and or transforms to provide in memory objects for tasks run method
`timer`(name, logLevel)	Context manager to log performance data for an arbitrary block of code.

Attributes Documentation

canMultiprocess = True¶

Methods Documentation

emptyMetadata() → None¶: Empty (clear) the metadata for this Task and all sub-Tasks.

filterInputs(indices, inputs)¶

Filter task inputs by their indices.

Parameters:	indices : `list` of `int` inputs : `dict` of `list` A dictionary of input connections to be passed to run.
Returns:	inputs : `dict` of `list` Task inputs with their lists filtered by indices.

getAllSchemaCatalogs() → Dict[str, Any]¶

Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.

Returns:	schemacatalogs : `dict` Keys are butler dataset type, values are a empty catalog (an instance of the appropriate `lsst.afw.table` Catalog type) for all tasks in the hierarchy, from the top-level task down through all subtasks.

Notes

This method may be called on any task in the hierarchy; it will return the same answer, regardless.

The default implementation should always suffice. If your subtask uses schemas the override Task.getSchemaCatalogs, not this method.

getBadPixelMask()¶: Convenience method to provide the bitmask from the mask plane names

getFullMetadata() → lsst.pipe.base._task_metadata.TaskMetadata¶

Get metadata for all tasks.

Returns:	metadata : `TaskMetadata` The keys are the full task name. Values are metadata for the top-level task and all subtasks, sub-subtasks, etc.

Notes

The returned metadata includes timing information (if @timer.timeMethod is used) and any metadata set by the task. The name of each item consists of the full task name with . replaced by :, followed by . and the name of the item, e.g.:

topLevelTaskName:subtaskName:subsubtaskName.itemName

using : in the full task name disambiguates the rare situation that a task has a subtask and a metadata item with the same name.

getFullName() → str¶

Get the task name as a hierarchical name including parent task names.

Returns:	fullName : `str` The full name consists of the name of the parent task and each subtask separated by periods. For example: The full name of top-level task “top” is simply “top”. The full name of subtask “sub” of top-level task “top” is “top.sub”. The full name of subtask “sub2” of subtask “sub” of top-level task “top” is “top.sub.sub2”.

getName() → str¶

Get the name of the task.

Returns:	taskName : `str` Name of the task.

See also

Task.getAllSchemaCatalogs

Notes

Warning

Subclasses that use schemas must override this method. The default implementation returns an empty dict.

This method may be called at any time after the Task is constructed, which means that all task schemas should be computed at construction time, not when data is actually processed. This reflects the philosophy that the schema should not depend on the data.

Returning catalogs rather than just schemas allows us to save e.g. slots for SourceCatalog as well.

getSkyInfo(patchRef)¶

Use getSkyinfo to return the skyMap, tract and patch information, wcs and the outer bbox of the patch.

Parameters:

patchRef : Unknown: Data reference for sky map. Must include keys “tract” and “patch”.

Returns:

getSkyInfo : lsst.pipe.base.Struct

Sky Info as a struct with attributes:

skyMap: sky map (lsst.skyMap.SkyMap).
tractInfo: Information for chosen tract of sky map (lsst.skymap.TractInfo).
patchInfo: Information about chosen patch of tract (lsst.skymap.PatchInfo).
wcs: WCS of tract (lsst.afw.image.SkyWcs).
bbox: Outer bbox of patch, as an geom Box2I (lsst.afw.geom.Box2I).

getTaskDict() → Dict[str, weakref]¶

Get a dictionary of all tasks as a shallow copy.

Returns:	taskDict : `dict` Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.

getTempExpDatasetName(warpType='direct')¶

Return warp name for given warpType and task config

Parameters:	warpType : `str` Either ‘direct’ or ‘psfMatched’.
Returns:	WarpDatasetName : `str`

getWarpTypeList()¶: Return list of requested warp types per the config.

classmethod makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField¶

Make a lsst.pex.config.ConfigurableField for this task.

Parameters:	doc : `str` Help text for the field.
Returns:	configurableField : `lsst.pex.config.ConfigurableField` A `ConfigurableField` for this task.

Examples

Provides a convenient way to specify this task is a subtask of another task.

Here is an example of use:

class OtherTaskConfig(lsst.pex.config.Config):
    aSubtask = ATaskClass.makeField("brief description of task")

makeSubtask(name: str, **keyArgs) → None¶

Create a subtask as a new instance as the name attribute of this task.

Parameters:	name : `str` Brief name of the subtask. keyArgs Extra keyword arguments used to construct the task. The following arguments are automatically provided and cannot be overridden: “config”. “parentTask”.

Notes

The subtask must be defined by Task.config.name, an instance of ConfigurableField or RegistryField.

prepareCalibratedExposures(calExpList, backgroundList=None, skyCorrList=None, externalSkyWcsCatalog=None, externalPhotoCalibCatalog=None, finalizedPsfApCorrCatalog=None, **kwargs)¶

Calibrate and add backgrounds to input calExpList in place.

Parameters:

calExpList : list of lsst.afw.image.Exposure: Sequence of calexps to be modified in place.
backgroundList : list of lsst.afw.math.backgroundList, optional: Sequence of backgrounds to be added back in if bgSubtracted=False.
skyCorrList : list of lsst.afw.math.backgroundList, optional: Sequence of background corrections to be subtracted if doApplySkyCorr=True.
externalSkyWcsCatalog : lsst.afw.table.ExposureCatalog, optional: Exposure catalog with external skyWcs to be applied if config.doApplyExternalSkyWcs=True. Catalog uses the detector id for the catalog id, sorted on id for fast lookup.
externalPhotoCalibCatalog : lsst.afw.table.ExposureCatalog, optional: Exposure catalog with external photoCalib to be applied if config.doApplyExternalPhotoCalib=True. Catalog uses the detector id for the catalog id, sorted on id for fast lookup.
finalizedPsfApCorrCatalog : lsst.afw.table.ExposureCatalog, optional: Exposure catalog with finalized psf models and aperture correction maps to be applied if config.doApplyFinalizedPsf=True. Catalog uses the detector id for the catalog id, sorted on id for fast lookup.
**kwargs: Additional keyword arguments.

Returns:

indices : list [int]: Indices of calExpList and friends that have valid photoCalib/skyWcs.

run(calExpList, ccdIdList, skyInfo, visitId=0, dataIdList=None, **kwargs)¶

Create a Warp from inputs.

We iterate over the multiple calexps in a single exposure to construct the warp (previously called a coaddTempExp) of that exposure to the supplied tract/patch.

Pixels that receive no pixels are set to NAN; this is not correct (violates LSST algorithms group policy), but will be fixed up by interpolating after the coaddition.

calexpRefList : list: List of data references for calexps that (may) overlap the patch of interest.
skyInfo : lsst.pipe.base.Struct: Struct from CoaddBaseTask.getSkyInfo() with geometric information about the patch.
visitId : int: Integer identifier for visit, for the table that will produce the CoaddPsf.

Returns:	result : `lsst.pipe.base.Struct` Results as a struct with attributes: `exposures` A dictionary containing the warps requested: “direct”: direct warp if `config.makeDirect` “psfMatched”: PSF-matched warp if `config.makePsfMatched` (`dict`).

runQuantum(butlerQC, inputRefs, outputRefs)¶

Method to do butler IO and or transforms to provide in memory objects for tasks run method

Parameters:

butlerQC : ButlerQuantumContext: A butler which is specialized to operate in the context of a lsst.daf.butler.Quantum.
inputRefs : InputQuantizedConnection: Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined input/prerequisite connections.
outputRefs : OutputQuantizedConnection: Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined output connections.

timer(name: str, logLevel: int = 10) → Iterator[None]¶

Context manager to log performance data for an arbitrary block of code.

Parameters:	name : `str` Name of code being timed; data will be logged using item name: `Start` and `End`. logLevel A `logging` level constant.

Navigation

MakeWarpTask¶