CalexpCutoutTask¶
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class lsst.pipe.tasks.calexpCutout.CalexpCutoutTask(*, config: Optional[PipelineTaskConfig] = None, log: Optional[Union[logging.Logger, LsstLogAdapter]] = None, initInputs: Optional[Dict[str, Any]] = None, **kwargs)¶
- Bases: - lsst.pipe.base.PipelineTask- Task for computing cutouts on a specific calexp given positions, xspans, and yspans of the stamps. - Attributes Summary - canMultiprocess- Methods Summary - emptyMetadata()- Empty (clear) the metadata for this Task and all sub-Tasks. - 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. - makeField(doc)- Make a - lsst.pex.config.ConfigurableFieldfor this task.- makeSubtask(name, **keyArgs)- Create a subtask as a new instance as the - nameattribute of this task.- run(in_table, calexp)- Compute and return the cutouts. - 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. 
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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.timeMethodis 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.
- metadata : 
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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”.
 
 
- fullName : 
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getResourceConfig() → Optional[ResourceConfig]¶
- Return resource configuration for this task. - Returns: - Object of type ResourceConfigorNoneif resource
- configuration is not defined for this task.
 
- Object of type 
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getTaskDict() → Dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]¶
- 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. 
 
- taskDict : 
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classmethod makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField¶
- Make a - lsst.pex.config.ConfigurableFieldfor this task.- Parameters: - doc : str
- Help text for the field. 
 - Returns: - configurableField : lsst.pex.config.ConfigurableField
- A - ConfigurableFieldfor 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") 
- doc : 
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makeSubtask(name: str, **keyArgs) → None¶
- Create a subtask as a new instance as the - nameattribute 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- ConfigurableFieldor- RegistryField.
- name : 
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run(in_table, calexp)¶
- Compute and return the cutouts. - Parameters: - in_table : astropy.QTable
- A table containing at least the following columns: position, xspan and yspan. The position should be an - astropy.SkyCoord. The xspan and yspan are the extent of the cutout in x and y in pixels.
- calexp : lsst.afw.image.ExposureF
- The calibrated exposure from which to extract cutouts 
 - Returns: - output : lsst.pipe.base.Struct
- A struct containing: - cutouts: an lsst.meas.algorithms.Stampsobject
- that wraps a list of masked images of the cutouts and a
PropertyListcontaining the metadata to be persisted with the cutouts. The exposure metadata is preserved and, in addition, arrays holding the RA and Dec of each stamp in degrees are added to the metadata. Note: the origin of the output stamps islsst.afw.image.PARENT.
 
- cutouts: an 
- skipped_positions: a listoflsst.geom.SpherePointobjects for
- stamps that were skiped for being off the image or partially off the image
 
- skipped_positions: a 
 
 - Raises: - ValueError
- If the input catalog doesn’t have the required columns, a ValueError is raised 
 
- in_table : 
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runQuantum(butlerQC: ButlerQuantumContext, inputRefs: InputQuantizedConnection, outputRefs: OutputQuantizedConnection) → None¶
- 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 - PipelineTaskConnectionsclass. The values of these attributes are the- lsst.daf.butler.DatasetRefobjects associated with the defined input/prerequisite connections.
- outputRefs : OutputQuantizedConnection
- Datastructure whose attribute names are the names that identify connections defined in corresponding - PipelineTaskConnectionsclass. The values of these attributes are the- lsst.daf.butler.DatasetRefobjects associated with the defined output connections.
 
- butlerQC : 
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timer(name: str, logLevel: int = 10) → Iterator[None]¶
- Context manager to log performance data for an arbitrary block of code. - Parameters: - See also - timer.logInfo
 - Examples - Creating a timer context: - with self.timer("someCodeToTime"): pass # code to time 
 
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