HighResolutionHipsTask¶
- class lsst.pipe.tasks.hips.HighResolutionHipsTask(**kwargs)¶
Bases:
PipelineTask
Task for making high resolution HiPS images.
Attributes Summary
Methods Summary
build_quantum_graph
(task_def, registry, ...)Generate a
QuantumGraph
for running just this task.build_quantum_graph_cli
(argv)A command-line interface entry point to
build_quantum_graph
.Empty (clear) the metadata for this Task and all sub-Tasks.
Get metadata for all tasks.
Get the task name as a hierarchical name including parent task names.
getName
()Get the name of the task.
Return resource configuration for this task.
Get a dictionary of all tasks as a shallow copy.
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.run
(pixels, coadd_exposure_handles)Run the HighResolutionHipsTask.
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
Methods Documentation
- classmethod build_quantum_graph(task_def, registry, constraint_order, constraint_ranges, where=None, collections=None, metadata=None)¶
Generate a
QuantumGraph
for running just this task.This is a temporary workaround for incomplete butler query support for HEALPix dimensions.
- Parameters:
- task_def
lsst.pipe.base.TaskDef
Task definition.
- registry
lsst.daf.butler.Registry
Client for the butler database. May be read-only.
- constraint_order
int
HEALPix order used to contrain which quanta are generated, via
constraint_indices
. This should be a coarser grid (smaller order) than the order used for the task’s quantum and output data IDs, and ideally something between the spatial scale of a patch or the data repository’s “common skypix” system (usuallyhtm7
).- constraint_ranges
lsst.sphgeom.RangeSet
RangeSet which describes constraint pixels (HEALPix NEST, with order constraint_order) to constrain generated quanta.
- where
str
, optional A boolean
str
expression of the form accepted byRegistry.queryDatasets
to constrain input datasets. This may contain a constraint on tracts, patches, or bands, but not HEALPix indices. Constraints on tracts and patches should usually be unnecessary, however - existing coadds that overlap the given HEALpix indices will be selected without such a constraint, and providing one may reject some that should normally be included.- collections
str
orIterable
[str
], optional Collection or collections to search for input datasets, in order. If not provided,
registry.defaults.collections
will be searched.- metadata
dict
[str
,Any
] Graph metadata. It is required to contain “output_run” key with the name of the output RUN collection.
- task_def
- classmethod build_quantum_graph_cli(argv)¶
A command-line interface entry point to
build_quantum_graph
. This method provides the implementation for thebuild-high-resolution-hips-qg
script.- Parameters:
- argv
Sequence
[str
] Command-line arguments (e.g.
sys.argv[1:]
).
- argv
- getFullMetadata() 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.
- metadata
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”.
- fullName
- getResourceConfig() ResourceConfig | None ¶
Return resource configuration for this task.
- Returns:
- Object of type
ResourceConfig
orNone
if resource - configuration is not defined for this task.
- Object of type
- getTaskDict() Dict[str, ReferenceType[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
- classmethod makeField(doc: str) ConfigurableField ¶
Make a
lsst.pex.config.ConfigurableField
for this task.- Parameters:
- doc
str
Help text for the field.
- doc
- Returns:
- configurableField
lsst.pex.config.ConfigurableField
A
ConfigurableField
for this task.
- configurableField
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:
- 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”.
- name
Notes
The subtask must be defined by
Task.config.name
, an instance ofConfigurableField
orRegistryField
.
- run(pixels, coadd_exposure_handles)¶
Run the HighResolutionHipsTask.
- Parameters:
- pixels
Iterable
[int
] Iterable of healpix pixels (nest ordering) to warp to.
- coadd_exposure_handles
list
[lsst.daf.butler.DeferredDatasetHandle
] Handles for the coadd exposures.
- pixels
- Returns:
- outputs
lsst.pipe.base.Struct
hips_exposures
is a dict with pixel (key) and hips_exposure (value)
- outputs
- 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 thelsst.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 thelsst.daf.butler.DatasetRef
objects associated with the defined output connections.
- butlerQC