DcrAssembleCoaddConfig¶
- 
class lsst.pipe.tasks.dcrAssembleCoadd.DcrAssembleCoaddConfig¶
- Bases: - lsst.pipe.tasks.assembleCoadd.CompareWarpAssembleCoaddConfig- Attributes Summary - accelerateModel- Factor to amplify the differences between model planes by to speed convergence. - assembleStaticSkyModel- Task to assemble an artifact-free, PSF-matched Coadd to serve as a naive/first-iteration model of the static sky. - badMaskPlanes- Mask planes that, if set, the associated pixel should not be included in the coaddTempExp. - bandwidth- Bandwidth of the physical filter, in nm.Required if transmission curves aren’t used.Support for using transmission curves is to be added in DM-13668. - baseGain- Relative weight to give the new solution vs. - brightObjectMaskName- Name of mask bit used for bright objects ( - str, default- 'BRIGHT_OBJECT')- calcErrorFromInputVariance- Calculate coadd variance from input variance by stacking statistic.Passed to StatisticsControl.setCalcErrorFromInputVariance() ( - bool, default- True)- clipIter- Number of iterations of outlier rejection; ignored if non-clipping statistic selected. - coaddName- Coadd name: typically one of deep or goodSeeing. - coaddPsf- Configuration for CoaddPsf ( - CoaddPsfConfig, default- <class 'lsst.meas.algorithms.coaddPsf.coaddPsf.CoaddPsfConfig'>)- connections- Configurations describing the connections of the PipelineTask to datatypes ( - Connections, default- <class 'lsst.pipe.base.config.Connections'>)- convergenceMaskPlanes- Mask planes to use to calculate convergence. - convergenceThreshold- Target relative change in convergence between iterations of forward modeling. - dcrNumSubfilters- Number of sub-filters to forward model chromatic effects to fit the supplied exposures. - detect- Detect outlier sources on difference between each psfMatched warp and static sky model ( - ConfigurableInstance, default- <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)- detectPsfSources- Task to detect sources for PSF measurement, if - doCalculatePsfis set.- detectTemplate- Detect sources on static sky model. - doAirmassWeight- Weight exposures by airmass? Useful if there are relatively few high-airmass observations. - doApplyExternalPhotoCalib- Whether to apply external photometric calibration via an - lsst.afw.image.PhotoCalibobject.- doApplyExternalSkyWcs- Whether to apply external astrometric calibration via an - lsst.afw.geom.SkyWcsobject.- doAttachTransmissionCurve- Attach a piecewise TransmissionCurve for the coadd? (requires all input Exposures to have TransmissionCurves). - doCalculatePsf- Set to detect stars and recalculate the PSF from the final coadd.Otherwise the PSF is estimated from a selection of the best input exposures ( - bool, default- False)- doFilterMorphological- Filter artifact candidates based on morphological criteria, i.g. - doInputMap- Create a bitwise map of coadd inputs ( - bool, default- False)- doInterp- Interpolate over NaN pixels? Also extrapolate, if necessary, but the results are ugly. - doMaskBrightObjects- Set mask and flag bits for bright objects? ( - bool, default- False)- doNImage- Create image of number of contributing exposures for each pixel ( - bool, default- False)- doOnlineForMean- Perform online coaddition when statistic=”MEAN” to save memory? ( - bool, default- False)- doPrefilterArtifacts- Ignore artifact candidates that are mostly covered by the bad pixel mask, because they will be excluded anyway. - doPreserveContainedBySource- Rescue artifacts from clipping that completely lie within a footprint detectedon the PsfMatched Template Coadd. - doPsfMatch- Match to modelPsf? Deprecated. - doScaleWarpVariance- Rescale Warp variance plane using empirical noise? ( - bool, default- True)- doSelectVisits- Coadd only visits selected by a SelectVisitsTask ( - bool, default- False)- doSigmaClip- Perform sigma clipped outlier rejection with MEANCLIP statistic? (DEPRECATED) ( - bool, default- False)- doUsePsfMatchedPolygons- Use ValidPolygons from shrunk Psf-Matched Calexps? Should be set to True by CompareWarp only. - doWrite- Persist coadd? ( - bool, default- True)- effectiveWavelength- Effective wavelength of the filter, in nm.Required if transmission curves aren’t used.Support for using transmission curves is to be added in DM-13668. - externalPhotoCalibName- Type of external PhotoCalib if - doApplyExternalPhotoCalibis True.- externalSkyWcsName- Type of external SkyWcs if - doApplyExternalSkyWcsis True.- hasFakes- Should be set to True if fake sources have been inserted into the input data. - history- imageInterpOrder- The order of the spline interpolation used to shift the image plane. - includeCalibVar- Add photometric calibration variance to warp variance plane. - inputMapper- Input map creation subtask. - inputRecorder- Subtask that helps fill CoaddInputs catalogs added to the final Exposure ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>)- interpImage- Task to interpolate (and extrapolate) over NaN pixels ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.interpImage.InterpImageConfig'>)- maskPropagationThresholds- Threshold (in fractional weight) of rejection at which we propagate a mask plane to the coadd; that is, we set the mask bit on the coadd if the fraction the rejected frames would have contributed exceeds this value. - maskStreaks- Detect streaks on difference between each psfMatched warp and static sky model. - matchingKernelSize- Size in pixels of matching kernel. - maxFractionEpochsHigh- Fraction of local number of epochs (N) to use as effective maxNumEpochs for high N. - maxFractionEpochsLow- Fraction of local number of epochs (N) to use as effective maxNumEpochs for low N. - maxNumEpochs- Charactistic maximum local number of epochs/visits in which an artifact candidate can appear and still be masked. - maxNumIter- Maximum number of iterations of forward modeling. - measurePsf- Task to measure the PSF of the coadd, if - doCalculatePsfis set.- measurePsfSources- Task to measure sources for PSF measurement, if - doCalculatePsfis set.- minNumIter- Minimum number of iterations of forward modeling. - modelPsf- Model Psf factory ( - ConfigurableInstance, default- <class 'lsst.meas.algorithms.gaussianPsfFactory.GaussianPsfFactory'>)- modelWeightsWidth- Width of the region around detected sources to include in the DcrModel. - prefilterArtifactsMaskPlanes- Prefilter artifact candidates that are mostly covered by these bad mask planes. - prefilterArtifactsRatio- Prefilter artifact candidates with less than this fraction overlapping good pixels ( - float, default- 0.05)- regularizationWidth- Minimum radius of a region to include in regularization, in pixels. - regularizeModelFrequency- Maximum relative change of the model allowed between subfilters.Set to zero to disable. - regularizeModelIterations- Maximum relative change of the model allowed between iterations.Set to zero to disable. - removeMaskPlanes- Mask planes to remove before coadding ( - List, default- ['NOT_DEBLENDED'])- 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. - scaleWarpVariance- Rescale variance on warps ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.scaleVariance.ScaleVarianceConfig'>)- scaleZeroPoint- Task to adjust the photometric zero point of the coadd temp exposures ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.scaleZeroPoint.ScaleZeroPointConfig'>)- select- Image selection subtask. - sigmaClip- Sigma for outlier rejection; ignored if non-clipping statistic selected. - spatialThreshold- Unitless fraction of pixels defining how much of the outlier region has to meet the temporal criteria. - splitSubfilters- Calculate DCR for two evenly-spaced wavelengths in each subfilter.Instead of at the midpoint ( - bool, default- True)- splitThreshold- Minimum DCR difference within a subfilter to use - splitSubfilters, in pixels.Set to 0 to always split the subfilters.- statistic- Main stacking statistic for aggregating over the epochs. - streakMaskName- Name of mask bit used for streaks ( - str, default- 'STREAK')- subregionSize- Width, height of stack subregion size; make small enough that a full stack of images will fit into memory at once. - useConvergence- Use convergence test as a forward modeling end condition?If not set, skips calculating convergence and runs for - maxNumIteriterations (- bool, default- True)- useGlobalExternalPhotoCalib- When using doApplyExternalPhotoCalib, use ‘global’ calibrations that are not run per-tract. - useGlobalExternalSkyWcs- When using doApplyExternalSkyWcs, use ‘global’ calibrations that are not run per-tract. - useModelWeights- Width of the region around detected sources to include in the DcrModel. - useProgressiveGain- Use a gain that slowly increases above - baseGainto accelerate convergence? When calculating the next gain, we use up to 5 previous gains and convergence values.Can be set to False to force the model to change at the rate of- baseGain.- warpType- Warp name: one of ‘direct’ or ‘psfMatched’ ( - str, default- 'direct')- Methods Summary - compare(other[, shortcut, rtol, atol, output])- Compare this configuration to another - Configfor 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.- iteritems()- Iterate over (field name, field value) pairs. - iterkeys()- Iterate over field names - itervalues()- Iterate over field values. - 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. - 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. - 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 - 
accelerateModel¶
- Factor to amplify the differences between model planes by to speed convergence. ( - float, default- 3)
 - 
assembleStaticSkyModel¶
- Task to assemble an artifact-free, PSF-matched Coadd to serve as a naive/first-iteration model of the static sky. ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.assembleCoadd.AssembleCoaddConfig'>)
 - 
badMaskPlanes¶
- Mask planes that, if set, the associated pixel should not be included in the coaddTempExp. ( - List, default- ('NO_DATA',))
 - 
bandwidth¶
- Bandwidth of the physical filter, in nm.Required if transmission curves aren’t used.Support for using transmission curves is to be added in DM-13668. ( - float)
 - 
baseGain¶
- Relative weight to give the new solution vs. the last solution when updating the model.A value of 1.0 gives equal weight to both solutions.Small values imply slower convergence of the solution, but can help prevent overshooting and failures in the fit.If - baseGainis None, a conservative gain will be calculated from the number of subfilters. (- float, default- None)
 - 
calcErrorFromInputVariance¶
- Calculate coadd variance from input variance by stacking statistic.Passed to StatisticsControl.setCalcErrorFromInputVariance() ( - bool, default- True)
 - 
clipIter¶
- Number of iterations of outlier rejection; ignored if non-clipping statistic selected. ( - int, default- 2)
 - 
coaddPsf¶
- Configuration for CoaddPsf ( - CoaddPsfConfig, default- <class 'lsst.meas.algorithms.coaddPsf.coaddPsf.CoaddPsfConfig'>)
 - 
connections¶
- Configurations describing the connections of the PipelineTask to datatypes ( - Connections, default- <class 'lsst.pipe.base.config.Connections'>)
 - 
convergenceMaskPlanes¶
- Mask planes to use to calculate convergence. ( - List, default- ['DETECTED'])
 - 
convergenceThreshold¶
- Target relative change in convergence between iterations of forward modeling. ( - float, default- 0.001)
 - 
dcrNumSubfilters¶
- Number of sub-filters to forward model chromatic effects to fit the supplied exposures. ( - int, default- 3)
 - 
detect¶
- Detect outlier sources on difference between each psfMatched warp and static sky model ( - ConfigurableInstance, default- <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)
 - 
detectPsfSources¶
- Task to detect sources for PSF measurement, if - doCalculatePsfis set. (- ConfigurableInstance, default- <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)
 - 
detectTemplate¶
- Detect sources on static sky model. Only used if doPreserveContainedBySource is True ( - ConfigurableInstance, default- <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)
 - 
doAirmassWeight¶
- Weight exposures by airmass? Useful if there are relatively few high-airmass observations. ( - bool, default- False)
 - 
doApplyExternalPhotoCalib¶
- Whether to apply external photometric calibration via an - lsst.afw.image.PhotoCalibobject. Uses the- externalPhotoCalibNamefield to determine which calibration to load. (- bool, default- False)
 - 
doApplyExternalSkyWcs¶
- Whether to apply external astrometric calibration via an - lsst.afw.geom.SkyWcsobject. Uses- externalSkyWcsNamefield to determine which calibration to load. (- bool, default- False)
 - 
doAttachTransmissionCurve¶
- Attach a piecewise TransmissionCurve for the coadd? (requires all input Exposures to have TransmissionCurves). ( - bool, default- False)
 - 
doCalculatePsf¶
- Set to detect stars and recalculate the PSF from the final coadd.Otherwise the PSF is estimated from a selection of the best input exposures ( - bool, default- False)
 - 
doFilterMorphological¶
- Filter artifact candidates based on morphological criteria, i.g. those that appear to be streaks. ( - bool, default- False)
 - 
doInterp¶
- Interpolate over NaN pixels? Also extrapolate, if necessary, but the results are ugly. ( - bool, default- True)
 - 
doOnlineForMean¶
- Perform online coaddition when statistic=”MEAN” to save memory? ( - bool, default- False)
 - 
doPrefilterArtifacts¶
- Ignore artifact candidates that are mostly covered by the bad pixel mask, because they will be excluded anyway. This prevents them from contributing to the outlier epoch count image and potentially being labeled as persistant.’Mostly’ is defined by the config ‘prefilterArtifactsRatio’. ( - bool, default- True)
 - 
doPreserveContainedBySource¶
- Rescue artifacts from clipping that completely lie within a footprint detectedon the PsfMatched Template Coadd. Replicates a behavior of SafeClip. ( - bool, default- True)
 - 
doPsfMatch¶
- Match to modelPsf? Deprecated. Sets makePsfMatched=True, makeDirect=False ( - bool, default- False)
 - 
doSigmaClip¶
- Perform sigma clipped outlier rejection with MEANCLIP statistic? (DEPRECATED) ( - bool, default- False)
 - 
doUsePsfMatchedPolygons¶
- Use ValidPolygons from shrunk Psf-Matched Calexps? Should be set to True by CompareWarp only. ( - bool, default- False)
 - 
effectiveWavelength¶
- Effective wavelength of the filter, in nm.Required if transmission curves aren’t used.Support for using transmission curves is to be added in DM-13668. ( - float)
 - 
externalPhotoCalibName¶
- Type of external PhotoCalib if - doApplyExternalPhotoCalibis True. This field is only used for Gen2 middleware. (- str, default- 'jointcal')- Allowed values: - 'jointcal'
- Use jointcal_photoCalib
- 'fgcm'
- Use fgcm_photoCalib
- 'fgcm_tract'
- Use fgcm_tract_photoCalib
- 'None'
- Field is optional
 
 - 
externalSkyWcsName¶
- Type of external SkyWcs if - doApplyExternalSkyWcsis True. This field is only used for Gen2 middleware. (- str, default- 'jointcal')- Allowed values: - 'jointcal'
- Use jointcal_wcs
- 'None'
- Field is optional
 
 - 
hasFakes¶
- Should be set to True if fake sources have been inserted into the input data. ( - bool, default- False)
 - 
history¶
 - 
imageInterpOrder¶
- The order of the spline interpolation used to shift the image plane. ( - int, default- 3)
 - 
inputMapper¶
- Input map creation subtask. ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.healSparseMapping.HealSparseInputMapConfig'>)
 - 
inputRecorder¶
- Subtask that helps fill CoaddInputs catalogs added to the final Exposure ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>)
 - 
interpImage¶
- Task to interpolate (and extrapolate) over NaN pixels ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.interpImage.InterpImageConfig'>)
 - 
maskPropagationThresholds¶
- Threshold (in fractional weight) of rejection at which we propagate a mask plane to the coadd; that is, we set the mask bit on the coadd if the fraction the rejected frames would have contributed exceeds this value. ( - Dict, default- {'SAT': 0.1})
 - 
maskStreaks¶
- Detect streaks on difference between each psfMatched warp and static sky model. Only used if doFilterMorphological is True. Adds a mask plane to an exposure, with the mask plane name set bystreakMaskName ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.maskStreaks.MaskStreaksConfig'>)
 - 
maxFractionEpochsHigh¶
- Fraction of local number of epochs (N) to use as effective maxNumEpochs for high N. Effective maxNumEpochs = min(maxFractionEpochsLow * N, maxNumEpochs + maxFractionEpochsHigh * N) ( - float, default- 0.03)- Valid Range = [0.0,1.0) 
 - 
maxFractionEpochsLow¶
- Fraction of local number of epochs (N) to use as effective maxNumEpochs for low N. Effective maxNumEpochs = min(maxFractionEpochsLow * N, maxNumEpochs + maxFractionEpochsHigh * N) ( - float, default- 0.4)- Valid Range = [0.0,1.0) 
 - 
maxNumEpochs¶
- Charactistic maximum local number of epochs/visits in which an artifact candidate can appear and still be masked. The effective maxNumEpochs is a broken linear function of local number of epochs (N): min(maxFractionEpochsLow*N, maxNumEpochs + maxFractionEpochsHigh*N). For each footprint detected on the image difference between the psfMatched warp and static sky model, if a significant fraction of pixels (defined by spatialThreshold) are residuals in more than the computed effective maxNumEpochs, the artifact candidate is deemed persistant rather than transient and not masked. ( - int, default- 2)
 - 
measurePsf¶
- Task to measure the PSF of the coadd, if - doCalculatePsfis set. (- ConfigurableInstance, default- <class 'lsst.pipe.tasks.measurePsf.MeasurePsfConfig'>)
 - 
measurePsfSources¶
- Task to measure sources for PSF measurement, if - doCalculatePsfis set. (- ConfigurableInstance, default- <class 'lsst.meas.base.sfm.SingleFrameMeasurementConfig'>)
 - 
modelPsf¶
- Model Psf factory ( - ConfigurableInstance, default- <class 'lsst.meas.algorithms.gaussianPsfFactory.GaussianPsfFactory'>)
 - 
modelWeightsWidth¶
- Width of the region around detected sources to include in the DcrModel. ( - float, default- 3)
 - 
prefilterArtifactsMaskPlanes¶
- Prefilter artifact candidates that are mostly covered by these bad mask planes. ( - List, default- ('NO_DATA', 'BAD', 'SAT', 'SUSPECT'))
 - 
prefilterArtifactsRatio¶
- Prefilter artifact candidates with less than this fraction overlapping good pixels ( - float, default- 0.05)
 - 
regularizationWidth¶
- Minimum radius of a region to include in regularization, in pixels. ( - int, default- 2)
 - 
regularizeModelFrequency¶
- Maximum relative change of the model allowed between subfilters.Set to zero to disable. ( - float, default- 4.0)
 - 
regularizeModelIterations¶
- Maximum relative change of the model allowed between iterations.Set to zero to disable. ( - float, default- 2.0)
 - 
removeMaskPlanes¶
- Mask planes to remove before coadding ( - List, default- ['NOT_DEBLENDED'])
 - 
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)
 - 
scaleWarpVariance¶
- Rescale variance on warps ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.scaleVariance.ScaleVarianceConfig'>)
 - 
scaleZeroPoint¶
- Task to adjust the photometric zero point of the coadd temp exposures ( - ConfigurableInstance, default- <class 'lsst.pipe.tasks.scaleZeroPoint.ScaleZeroPointConfig'>)
 - 
select¶
- Image selection subtask. ( - ConfigurableInstance, default- <class 'lsst.pex.config.config.Config'>)
 - 
sigmaClip¶
- Sigma for outlier rejection; ignored if non-clipping statistic selected. ( - float, default- 3.0)
 - 
spatialThreshold¶
- Unitless fraction of pixels defining how much of the outlier region has to meet the temporal criteria. If 0, clip all. If 1, clip none. ( - float, default- 0.5)- Valid Range = [0.0,1.0] 
 - 
splitSubfilters¶
- Calculate DCR for two evenly-spaced wavelengths in each subfilter.Instead of at the midpoint ( - bool, default- True)
 - 
splitThreshold¶
- Minimum DCR difference within a subfilter to use - splitSubfilters, in pixels.Set to 0 to always split the subfilters. (- float, default- 0.1)
 - 
subregionSize¶
- Width, height of stack subregion size; make small enough that a full stack of images will fit into memory at once. ( - List, default- (2000, 2000))
 - 
useConvergence¶
- Use convergence test as a forward modeling end condition?If not set, skips calculating convergence and runs for - maxNumIteriterations (- bool, default- True)
 - 
useGlobalExternalPhotoCalib¶
- When using doApplyExternalPhotoCalib, use ‘global’ calibrations that are not run per-tract. When False, use per-tract photometric calibration files. ( - bool, default- True)
 - 
useGlobalExternalSkyWcs¶
- When using doApplyExternalSkyWcs, use ‘global’ calibrations that are not run per-tract. When False, use per-tract wcs files. ( - bool, default- False)
 - 
useModelWeights¶
- Width of the region around detected sources to include in the DcrModel. ( - bool, default- True)
 - 
useProgressiveGain¶
- Use a gain that slowly increases above - baseGainto accelerate convergence? When calculating the next gain, we use up to 5 previous gains and convergence values.Can be set to False to force the model to change at the rate of- baseGain. (- bool, default- True)
 - Methods Documentation - 
compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶
- Compare this configuration to another - Configfor equality.- Parameters: - other : lsst.pex.config.Config
- Other - Configobject to compare against this config.
- shortcut : bool, optional
- If - True, return as soon as an inequality is found. Default is- True.
- rtol : float, optional
- Relative tolerance for floating point comparisons. 
- atol : float, optional
- Absolute tolerance for floating point comparisons. 
- output : callable, optional
- A callable that takes a string, used (possibly repeatedly) to report inequalities. 
 - Returns: - isEqual : bool
- Truewhen the two- lsst.pex.config.Configinstances are equal.- Falseif there is an inequality.
 - See also - Notes - Unselected targets of - RegistryFieldfields and unselected choices of- ConfigChoiceFieldfields are not considered by this method.- Floating point comparisons are performed by - numpy.allclose.
- other : 
 - 
formatHistory(name, **kwargs)¶
- Format a configuration field’s history to a human-readable format. - Parameters: - name : str
- Name of a - Fieldin this config.
- kwargs
- Keyword arguments passed to - lsst.pex.config.history.format.
 - Returns: - history : str
- A string containing the formatted history. 
 - See also 
- name : 
 - 
freeze()¶
- Make this config, and all subconfigs, read-only. 
 - 
items()¶
- Get configurations as - (field name, field value)pairs.- Returns: - items : list
- List of tuples for each configuration. Tuple items are: - Field name.
- Field value.
 
 - See also 
- items : 
 - 
iteritems()¶
- Iterate over (field name, field value) pairs. - Yields: - item : tuple
- Tuple items are: - Field name.
- Field value.
 
 - See also 
- item : 
 - 
itervalues()¶
- Iterate over field values. - Yields: - value : obj
- A field value. 
 - See also 
 - 
keys()¶
- Get field names. - Returns: - names : list
- List of - lsst.pex.config.Fieldnames.
 - See also 
- names : 
 - 
load(filename, root='config')¶
- Modify this config in place by executing the Python code in a configuration file. - Parameters: - filename : str
- Name of the configuration file. A configuration file is Python module. 
- root : str, 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 - myFieldis set to- 5.- Deprecated: For backwards compatibility, older config files that use - root="root"instead of- root="config"will be loaded with a warning printed to- sys.stderr. This feature will be removed at some point.
 - See also - lsst.pex.config.Config.loadFromStream,- lsst.pex.config.Config.save,- lsst.pex.config.Config.saveFromStream
- filename : 
 - 
loadFromStream(stream, root='config', filename=None)¶
- Modify this Config in place by executing the Python code in the provided stream. - Parameters: - stream : file-like object, str, or compiled string
- Stream containing configuration override code. 
- root : str, 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 - myFieldis set to- 5.- Deprecated: For backwards compatibility, older config files that use - root="root"instead of- root="config"will be loaded with a warning printed to- sys.stderr. This feature will be removed at some point.
- filename : str, optional
- Name of the configuration file, or - Noneif unknown or contained in the stream. Used for error reporting.
 - See also - lsst.pex.config.Config.load,- lsst.pex.config.Config.save,- lsst.pex.config.Config.saveFromStream
- stream : file-like object, 
 - 
names()¶
- Get all the field names in the config, recursively. - Returns: 
 - 
save(filename, root='config')¶
- Save a Python script to the named file, which, when loaded, reproduces this config. - Parameters: - filename : str
- Desination filename of this configuration. 
- root : str, optional
- Name to use for the root config variable. The same value must be used when loading (see - lsst.pex.config.Config.load).
 
- filename : 
 - 
saveToStream(outfile, root='config', skipImports=False)¶
- Save a configuration file to a stream, which, when loaded, reproduces this config. - Parameters: - outfile : file-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).
- skipImports : bool, optional
- If - Truethen do not include- importstatements in output, this is to support human-oriented output from- pipetaskwhere additional clutter is not useful.
 
 - 
setDefaults()¶
- Subclass hook for computing defaults. - Notes - Derived - Configclasses that must compute defaults rather than using the- Fieldinstances’s defaults should do so here. To correctly use inherited defaults, implementations of- setDefaultsmust call their base class’s- setDefaults.
 - 
toDict()¶
- Make a dictionary of field names and their values. - Returns: - See also - Notes - This method uses the - toDictmethod of individual fields. Subclasses of- Fieldmay need to implement a- toDictmethod 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 - __atand- __labelkeyword 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- Configinstance’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 - fieldAand- 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 - validatemethods.- Complex single-field validation can be defined by deriving new Field types. For convenience, some derived - lsst.pex.config.Field-types (- ConfigFieldand- ConfigChoiceField) are defined in- lsst.pex.configthat handle recursing into subconfigs.- Inter-field relationships should only be checked in derived - Configclasses after calling this method, and base validation is complete.
 
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