MakeWarpTask

class lsst.pipe.tasks.makeWarp.MakeWarpTask(**kwargs)

Bases: CoaddBaseTask

Warp and optionally PSF-Match calexps onto an a common projection.

Warp and optionally PSF-Match calexps onto a common projection, by performing the following operations: - Group calexps by visit/run - For each visit, generate a Warp by calling method @ref run.

run loops over the visit’s calexps calling WarpAndPsfMatchTask on each visit

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.

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.

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[, ...])

Deprecated function.

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: ClassVar[bool] = 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:
indiceslist [int]
inputsdict [list]

A dictionary of input connections to be passed to run.

Returns:
inputsdict [list]

Task inputs with their lists filtered by indices.

getBadPixelMask()

Convenience method to provide the bitmask from the mask plane names

getFullMetadata() TaskMetadata

Get metadata for all tasks.

Returns:
metadataTaskMetadata

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:
fullNamestr

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:
taskNamestr

Name of the task.

See also

getFullName
getResourceConfig() ResourceConfig | None

Return resource configuration for this task.

Returns:
Object of type ResourceConfig or None if resource
configuration is not defined for this task.
getTaskDict() Dict[str, ReferenceType[Task]]

Get a dictionary of all tasks as a shallow copy.

Returns:
taskDictdict

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:
warpTypestr

Either ‘direct’ or ‘psfMatched’.

Returns:
WarpDatasetNamestr
getWarpTypeList()

Return list of requested warp types per the config.

classmethod makeField(doc: str) ConfigurableField

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

Parameters:
docstr

Help text for the field.

Returns:
configurableFieldlsst.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: Any) None

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

Parameters:
namestr

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)

Deprecated function.

Please use _prepareCalibratedExposure(), which this delegates to and noting its slightly updated API, instead.

Deprecated since version v25.0: This method is deprecated in favor of its leading underscore version, _prepareCalibratedfExposures(). Will be removed after v25.

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.

calexpRefListlist

List of data references for calexps that (may) overlap the patch of interest.

skyInfolsst.pipe.base.Struct

Struct from makeSkyInfo() with geometric information about the patch.

visitIdint

Integer identifier for visit, for the table that will produce the CoaddPsf.

Returns:
resultlsst.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:
butlerQCButlerQuantumContext

A butler which is specialized to operate in the context of a lsst.daf.butler.Quantum.

inputRefsInputQuantizedConnection

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.

outputRefsOutputQuantizedConnection

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:
namestr

Name of code being timed; data will be logged using item name: Start and End.

logLevel

A logging level constant.

See also

timer.logInfo

Examples

Creating a timer context:

with self.timer("someCodeToTime"):
    pass  # code to time