CalibrateConfig

class lsst.pipe.tasks.calibrate.CalibrateConfig(*args, **kw)

Bases: PipelineTaskConfig

Config for CalibrateTask.

Attributes Summary

applyApCorr

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

astromRefObjLoader

reference object loader for astrometric calibration (LoadReferenceObjectsConfig, default <class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>)

astrometry

Perform astrometric calibration to refine the WCS (ConfigurableInstance, default <class 'lsst.meas.astrom.astrometry.AstrometryConfig'>)

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 (ConfigurableInstance, default <class 'lsst.pipe.tasks.computeExposureSummaryStats.ComputeExposureSummaryStatsConfig'>)

connections

Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

deblend

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

detection

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

doApCorr

Run subtask to apply aperture correction (bool, default True)

doAstrometry

Perform astrometric calibration? (bool, default True)

doComputeSummaryStats

Run subtask to measure exposure summary statistics? (bool, default True)

doDeblend

Run deblender input exposure (bool, default True)

doInsertFakes

Run fake sources injection task Deprecated: doInsertFakes is no longer supported.

doPhotoCal

Perform phometric calibration? (bool, default True)

doSkySources

Generate sky sources? (bool, default True)

doWrite

Save calibration results? (bool, default True)

doWriteExposure

Write the calexp? If fakes have been added then we do not want to write out the calexp as a normal calexp but as a fakes_calexp.

doWriteHeavyFootprintsInSources

Include HeavyFootprint data in source table? If false then heavy footprints are saved as normal footprints, which saves some space (bool, default True)

doWriteMatches

Write reference matches (ignored if doWrite or doAstrometry false)? (bool, default True)

doWriteMatchesDenormalized

Write reference matches in denormalized format? This format uses more disk space, but is more convenient to read.

history

icSourceFieldsToCopy

Fields to copy from the icSource catalog to the output catalog for matching sources Any missing fields will trigger a RuntimeError exception.

insertFakes

Injection of fake sources for testing purposes (must be retargeted) Deprecated: insertFakes is no longer supported.

matchRadiusPix

Match radius for matching icSourceCat objects to sourceCat objects (pixels) (float, default 3)

measurement

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

photoCal

Perform photometric calibration (ConfigurableInstance, default <class 'lsst.pipe.tasks.photoCal.PhotoCalConfig'>)

photoRefObjLoader

reference object loader for photometric calibration (LoadReferenceObjectsConfig, default <class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>)

postCalibrationMeasurement

Second round of measurement for plugins that need to be run after photocal (ConfigurableInstance, default <class 'lsst.meas.base.sfm.SingleFrameMeasurementConfig'>)

requireAstrometry

Raise an exception if astrometry fails? Ignored if doAstrometry false.

requirePhotoCal

Raise an exception if photoCal fails? Ignored if doPhotoCal false.

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.

setPrimaryFlags

Set flags for primary source classification in single frame processing.

skySources

Generate sky sources (ConfigurableInstance, default <class 'lsst.meas.algorithms.skyObjects.SkyObjectsConfig'>)

Methods Summary

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'>)

astromRefObjLoader

reference object loader for astrometric calibration (LoadReferenceObjectsConfig, default <class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>)

astrometry

Perform astrometric calibration to refine the WCS (ConfigurableInstance, default <class 'lsst.meas.astrom.astrometry.AstrometryConfig'>)

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 (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 sources into their components (ConfigurableInstance, default <class 'lsst.meas.deblender.sourceDeblendTask.SourceDeblendConfig'>)

detection

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

doApCorr

Run subtask to apply aperture correction (bool, default True)

doAstrometry

Perform astrometric calibration? (bool, default True)

doComputeSummaryStats

Run subtask to measure exposure summary statistics? (bool, default True)

doDeblend

Run deblender input exposure (bool, default True)

doInsertFakes

Run fake sources injection task Deprecated: doInsertFakes is no longer supported. This config will be removed after v24. Please use ProcessCcdWithFakesTask instead. (bool, default False)

doPhotoCal

Perform phometric calibration? (bool, default True)

doSkySources

Generate sky sources? (bool, default True)

doWrite

Save calibration results? (bool, default True)

doWriteExposure

Write the calexp? If fakes have been added then we do not want to write out the calexp as a normal calexp but as a fakes_calexp. (bool, default True)

doWriteHeavyFootprintsInSources

Include HeavyFootprint data in source table? If false then heavy footprints are saved as normal footprints, which saves some space (bool, default True)

doWriteMatches

Write reference matches (ignored if doWrite or doAstrometry false)? (bool, default True)

doWriteMatchesDenormalized

Write reference matches in denormalized format? This format uses more disk space, but is more convenient to read. Ignored if doWriteMatches=False or doWrite=False. (bool, default False)

history

Read-only history.

icSourceFieldsToCopy

Fields to copy from the icSource catalog to the output catalog for matching sources Any missing fields will trigger a RuntimeError exception. Ignored if icSourceCat is not provided. (List, default ('calib_psf_candidate', 'calib_psf_used', 'calib_psf_reserved'))

insertFakes

Injection of fake sources for testing purposes (must be retargeted) Deprecated: insertFakes is no longer supported. This config will be removed after v24. Please use ProcessCcdWithFakesTask instead. (ConfigurableInstance, default <class 'lsst.pipe.tasks.fakes.BaseFakeSourcesConfig'>)

matchRadiusPix

Match radius for matching icSourceCat objects to sourceCat objects (pixels) (float, default 3)

measurement

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

photoCal

Perform photometric calibration (ConfigurableInstance, default <class 'lsst.pipe.tasks.photoCal.PhotoCalConfig'>)

photoRefObjLoader

reference object loader for photometric calibration (LoadReferenceObjectsConfig, default <class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>)

postCalibrationMeasurement

Second round of measurement for plugins that need to be run after photocal (ConfigurableInstance, default <class 'lsst.meas.base.sfm.SingleFrameMeasurementConfig'>)

requireAstrometry

Raise an exception if astrometry fails? Ignored if doAstrometry false. (bool, default True)

requirePhotoCal

Raise an exception if photoCal fails? Ignored if doPhotoCal false. (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)

setPrimaryFlags

Set flags for primary source classification in single frame processing. True if sources are not sky sources and not a parent. (ConfigurableInstance, default <class 'lsst.pipe.tasks.setPrimaryFlags.SetPrimaryFlagsConfig'>)

skySources

Generate sky sources (ConfigurableInstance, default <class 'lsst.meas.algorithms.skyObjects.SkyObjectsConfig'>)

Methods Documentation

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.

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.

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:

  1. Field name.

  2. 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.

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.

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.

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).

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.

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.

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.

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.