CharacterizeImageConfig¶

class lsst.pipe.tasks.characterizeImage.CharacterizeImageConfig(*args, **kw)¶

Bases: PipelineTaskConfig

Config for CharacterizeImageTask.

Attributes Summary

`applyApCorr`	Subtask to apply aperture corrections (`ConfigurableInstance`, default `<class 'lsst.meas.base.applyApCorr.ApplyApCorrConfig'>`)
`background`	Configuration for initial background estimation (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>`)
`catalogCalculation`	Subtask to run catalogCalculation plugins on catalog (`ConfigurableInstance`, default `<class 'lsst.meas.base.catalogCalculation.CatalogCalculationConfig'>`)
`checkUnitsParseStrict`	Strictness of Astropy unit compatibility check, can be 'raise', 'warn' or 'silent' (`str`, default `'raise'`)
`computeSummaryStats`	Subtask to run computeSummaryStats on exposure Deprecated: This subtask has been moved to CalibrateTask with DM-30701.
`connections`	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
`deblend`	Split blended source into their components (`ConfigurableInstance`, default `<class 'lsst.meas.deblender.sourceDeblendTask.SourceDeblendConfig'>`)
`detection`	Detect sources (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>`)
`doApCorr`	Run subtasks to measure and apply aperture corrections (`bool`, default `True`)
`doComputeSummaryStats`	Run subtask to measure exposure summary statistics Deprecated: This subtask has been moved to CalibrateTask with DM-30701.
`doDeblend`	Run deblender input exposure (`bool`, default `True`)
`doMeasurePsf`	Measure PSF? If False then for all subsequent operations use either existing PSF model when present, or install simple PSF model when not (see installSimplePsf config options) (`bool`, default `True`)
`doWrite`	Persist results? (`bool`, default `True`)
`doWriteExposure`	Write icExp and icExpBackground in addition to icSrc? Ignored if doWrite False.
`history`
`idGenerator`	Configuration for how to generate catalog IDs from data IDs.
`installSimplePsf`	Install a simple PSF model (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.installGaussianPsf.InstallGaussianPsfConfig'>`)
`measureApCorr`	Subtask to measure aperture corrections (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.measureApCorr.MeasureApCorrConfig'>`)
`measurePsf`	Measure PSF (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.measurePsf.MeasurePsfConfig'>`)
`measurement`	Measure sources (`ConfigurableInstance`, default `<class 'lsst.meas.base.sfm.SingleFrameMeasurementConfig'>`)
`psfIterations`	Number of iterations of detect sources, measure sources, estimate PSF.
`refObjLoader`	reference object loader Deprecated: This field does nothing.
`ref_match`	Task to load and match reference objects.
`repair`	Remove cosmic rays (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.repair.RepairConfig'>`)
`requireCrForPsf`	Require cosmic ray detection and masking to run successfully before measuring the PSF.
`saveLogOutput`	Flag to enable/disable saving of log output for a task, enabled by default.
`saveMetadata`	Flag to enable/disable metadata saving for a task, enabled by default.
`useSimplePsf`	Replace the existing PSF model with a simplified version that has the same sigma at the start of each PSF determination iteration? Doing so makes PSF determination converge more robustly and quickly.

Methods Summary

`applyConfigOverrides`(instrument, ...)	Apply config overrides to this config instance.
`compare`(other[, shortcut, rtol, atol, output])	Compare this configuration to another `Config` for equality.
`formatHistory`(name, **kwargs)	Format a configuration field's history to a human-readable format.
`freeze`()	Make this config, and all subconfigs, read-only.
`items`()	Get configurations as `(field name, field value)` pairs.
`keys`()	Get field names.
`load`(filename[, root])	Modify this config in place by executing the Python code in a configuration file.
`loadFromStream`(stream[, root, filename])	Modify this Config in place by executing the Python code in the provided stream.
`loadFromString`(code[, root, filename])	Modify this Config in place by executing the Python code in the provided string.
`names`()	Get all the field names in the config, recursively.
`save`(filename[, root])	Save a Python script to the named file, which, when loaded, reproduces this config.
`saveToStream`(outfile[, root, skipImports])	Save a configuration file to a stream, which, when loaded, reproduces this config.
`saveToString`([skipImports])	Return the Python script form of this configuration as an executable string.
`setDefaults`()	Subclass hook for computing defaults.
`toDict`()	Make a dictionary of field names and their values.
`update`(**kw)	Update values of fields specified by the keyword arguments.
`validate`()	Validate the Config, raising an exception if invalid.
`values`()	Get field values.

Attributes Documentation

applyApCorr¶: Subtask to apply aperture corrections (ConfigurableInstance, default <class 'lsst.meas.base.applyApCorr.ApplyApCorrConfig'>)

background¶: Configuration for initial background estimation (ConfigurableInstance, default <class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>)

catalogCalculation¶: Subtask to run catalogCalculation plugins on catalog (ConfigurableInstance, default <class 'lsst.meas.base.catalogCalculation.CatalogCalculationConfig'>)

checkUnitsParseStrict¶: Strictness of Astropy unit compatibility check, can be ‘raise’, ‘warn’ or ‘silent’ (str, default 'raise')

computeSummaryStats¶: Subtask to run computeSummaryStats on exposure Deprecated: This subtask has been moved to CalibrateTask with DM-30701. (ConfigurableInstance, default <class 'lsst.pipe.tasks.computeExposureSummaryStats.ComputeExposureSummaryStatsConfig'>)

connections: pexConfig.ConfigField¶: Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

deblend¶: Split blended source into their components (ConfigurableInstance, default <class 'lsst.meas.deblender.sourceDeblendTask.SourceDeblendConfig'>)

detection¶: Detect sources (ConfigurableInstance, default <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)

doApCorr¶: Run subtasks to measure and apply aperture corrections (bool, default True)

doComputeSummaryStats¶: Run subtask to measure exposure summary statistics Deprecated: This subtask has been moved to CalibrateTask with DM-30701. (bool, default True)

doDeblend¶: Run deblender input exposure (bool, default True)

doMeasurePsf¶: Measure PSF? If False then for all subsequent operations use either existing PSF model when present, or install simple PSF model when not (see installSimplePsf config options) (bool, default True)

doWrite¶: Persist results? (bool, default True)

doWriteExposure¶: Write icExp and icExpBackground in addition to icSrc? Ignored if doWrite False. (bool, default True)

history¶: Read-only history.

idGenerator¶: Configuration for how to generate catalog IDs from data IDs. (DetectorVisitIdGeneratorConfig, default <class 'lsst.meas.base._id_generator.DetectorVisitIdGeneratorConfig'>)

installSimplePsf¶: Install a simple PSF model (ConfigurableInstance, default <class 'lsst.meas.algorithms.installGaussianPsf.InstallGaussianPsfConfig'>)

measureApCorr¶: Subtask to measure aperture corrections (ConfigurableInstance, default <class 'lsst.meas.algorithms.measureApCorr.MeasureApCorrConfig'>)

measurePsf¶: Measure PSF (ConfigurableInstance, default <class 'lsst.pipe.tasks.measurePsf.MeasurePsfConfig'>)

measurement¶: Measure sources (ConfigurableInstance, default <class 'lsst.meas.base.sfm.SingleFrameMeasurementConfig'>)

psfIterations¶

Number of iterations of detect sources, measure sources, estimate PSF. If useSimplePsf is True then 2 should be plenty; otherwise more may be wanted. (int, default 2)

Valid Range = [1,inf)

refObjLoader¶: reference object loader Deprecated: This field does nothing. Will be removed after v24 (see DM-34768). (LoadReferenceObjectsConfig, default <class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>)

ref_match¶: Task to load and match reference objects. Only used if measurePsf can use matches. Warning: matching will only work well if the initial WCS is accurate enough to give good matches (roughly: good to 3 arcsec across the CCD). Deprecated: This field was never usable. Will be removed after v24 (see DM-34768). (ConfigurableInstance, default <class 'lsst.meas.astrom.ref_match.RefMatchConfig'>)

repair¶: Remove cosmic rays (ConfigurableInstance, default <class 'lsst.pipe.tasks.repair.RepairConfig'>)

requireCrForPsf¶: Require cosmic ray detection and masking to run successfully before measuring the PSF. (bool, default True)

saveLogOutput¶: Flag to enable/disable saving of log output for a task, enabled by default. (bool, default True)

saveMetadata¶: Flag to enable/disable metadata saving for a task, enabled by default. (bool, default True)

useSimplePsf¶: Replace the existing PSF model with a simplified version that has the same sigma at the start of each PSF determination iteration? Doing so makes PSF determination converge more robustly and quickly. (bool, default True)

Methods Documentation

applyConfigOverrides(instrument: Instrument | None, taskDefaultName: str, pipelineConfigs: Iterable[ConfigIR] | None, parameters: ParametersIR, label: str) → None¶

Apply config overrides to this config instance.

Parameters¶

instrumentInstrument or None: An instance of the Instrument specified in a pipeline. If None then the pipeline did not specify and instrument.
taskDefaultNamestr: The default name associated with the Task class. This may be used with instrumental overrides.
pipelineConfigsIterable of ConfigIR: An iterable of ConfigIR objects that contain overrides to apply to this config instance.
parametersParametersIR: Parameters defined in a Pipeline which are used in formatting of config values across multiple Tasks in a pipeline.
labelstr: The label associated with this class’s Task in a pipeline.

compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶

Compare this configuration to another Config for equality.

Parameters:

otherlsst.pex.config.Config: Other Config object to compare against this config.
shortcutbool, optional: If True, return as soon as an inequality is found. Default is True.
rtolfloat, optional: Relative tolerance for floating point comparisons.
atolfloat, optional: Absolute tolerance for floating point comparisons.
outputcallable, optional: A callable that takes a string, used (possibly repeatedly) to report inequalities.

Returns:

isEqualbool: True when the two lsst.pex.config.Config instances are equal. False if there is an inequality.

See also

lsst.pex.config.compareConfigs

Notes

Unselected targets of RegistryField fields and unselected choices of ConfigChoiceField fields are not considered by this method.

Floating point comparisons are performed by numpy.allclose.

formatHistory(name, **kwargs)¶

Format a configuration field’s history to a human-readable format.

Parameters:

namestr: Name of a Field in this config.
kwargs: Keyword arguments passed to lsst.pex.config.history.format.

Returns:

historystr: A string containing the formatted history.

See also

lsst.pex.config.history.format

freeze()¶: Make this config, and all subconfigs, read-only.

items()¶

Get configurations as (field name, field value) pairs.

Returns:

itemsdict_items

Iterator of tuples for each configuration. Tuple items are:

Field name.
Field value.

keys()¶

Get field names.

Returns:

namesdict_keys: List of lsst.pex.config.Field names.

See also

lsst.pex.config.Config.iterkeys

load(filename, root='config')¶

Modify this config in place by executing the Python code in a configuration file.

Parameters:

filenamestr

Name of the configuration file. A configuration file is Python module.

rootstr, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

See also

lsst.pex.config.Config.loadFromStream
lsst.pex.config.Config.loadFromString
lsst.pex.config.Config.save
lsst.pex.config.Config.saveToStream
lsst.pex.config.Config.saveToString

loadFromStream(stream, root='config', filename=None)¶

Modify this Config in place by executing the Python code in the provided stream.

Parameters:

streamfile-like object, str, bytes, or compiled string

Stream containing configuration override code. If this is a code object, it should be compiled with mode="exec".

rootstr, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

filenamestr, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

See also

lsst.pex.config.Config.load
lsst.pex.config.Config.loadFromString
lsst.pex.config.Config.save
lsst.pex.config.Config.saveToStream
lsst.pex.config.Config.saveToString

Notes

For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use loadFromString instead for most of these types.

loadFromString(code, root='config', filename=None)¶

Modify this Config in place by executing the Python code in the provided string.

Parameters:

codestr, bytes, or compiled string

Stream containing configuration override code.

rootstr, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

filenamestr, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

See also

lsst.pex.config.Config.load
lsst.pex.config.Config.loadFromStream
lsst.pex.config.Config.save
lsst.pex.config.Config.saveToStream
lsst.pex.config.Config.saveToString

names()¶

Get all the field names in the config, recursively.

Returns:

nameslist of str: Field names.

save(filename, root='config')¶

Save a Python script to the named file, which, when loaded, reproduces this config.

Parameters:

filenamestr: Desination filename of this configuration.
rootstr, optional: Name to use for the root config variable. The same value must be used when loading (see lsst.pex.config.Config.load).

See also

lsst.pex.config.Config.saveToStream
lsst.pex.config.Config.saveToString
lsst.pex.config.Config.load
lsst.pex.config.Config.loadFromStream
lsst.pex.config.Config.loadFromString

saveToStream(outfile, root='config', skipImports=False)¶

Save a configuration file to a stream, which, when loaded, reproduces this config.

Parameters:

outfilefile-like object: Destination file object write the config into. Accepts strings not bytes.
root: Name to use for the root config variable. The same value must be used when loading (see lsst.pex.config.Config.load).
skipImportsbool, optional: If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

See also

lsst.pex.config.Config.save
lsst.pex.config.Config.saveToString
lsst.pex.config.Config.load
lsst.pex.config.Config.loadFromStream
lsst.pex.config.Config.loadFromString

saveToString(skipImports=False)¶

Return the Python script form of this configuration as an executable string.

Parameters:

skipImportsbool, optional: If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

Returns:

codestr: A code string readable by loadFromString.

See also

lsst.pex.config.Config.save
lsst.pex.config.Config.saveToStream
lsst.pex.config.Config.load
lsst.pex.config.Config.loadFromStream
lsst.pex.config.Config.loadFromString

setDefaults()¶

Subclass hook for computing defaults.

Notes

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.

toDict()¶

Make a dictionary of field names and their values.

Returns:

dict_dict: Dictionary with keys that are Field names. Values are Field values.

See also

lsst.pex.config.Field.toDict

Notes

This method uses the toDict method of individual fields. Subclasses of Field may need to implement a toDict method for this method to work.

update(**kw)¶

Update values of fields specified by the keyword arguments.

Parameters:

kw: Keywords are configuration field names. Values are configuration field values.

Notes

The __at and __label keyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Do not modify these keywords to subvert a Config instance’s history.

Examples

This is a config with three fields:

>>> from lsst.pex.config import Config, Field
>>> class DemoConfig(Config):
...     fieldA = Field(doc='Field A', dtype=int, default=42)
...     fieldB = Field(doc='Field B', dtype=bool, default=True)
...     fieldC = Field(doc='Field C', dtype=str, default='Hello world')
...
>>> config = DemoConfig()

These are the default values of each field:

>>> for name, value in config.iteritems():
...     print(f"{name}: {value}")
...
fieldA: 42
fieldB: True
fieldC: 'Hello world'

Using this method to update fieldA and fieldC:

>>> config.update(fieldA=13, fieldC='Updated!')

Now the values of each field are:

>>> for name, value in config.iteritems():
...     print(f"{name}: {value}")
...
fieldA: 13
fieldB: True
fieldC: 'Updated!'

validate()¶

Validate the Config, raising an exception if invalid.

Raises:

lsst.pex.config.FieldValidationError: Raised if verification fails.

Notes

The base class implementation performs type checks on all fields by calling their validate methods.

Complex single-field validation can be defined by deriving new Field types. For convenience, some derived lsst.pex.config.Field-types (ConfigField and ConfigChoiceField) are defined in lsst.pex.config that handle recursing into subconfigs.

Inter-field relationships should only be checked in derived Config classes after calling this method, and base validation is complete.

values()¶

Get field values.

Returns:

valuesdict_values: Iterator of field values.

Navigation

CharacterizeImageConfig¶

Parameters¶