MakeDirectWarpConfig¶

class lsst.pipe.tasks.make_direct_warp.MakeDirectWarpConfig(*args, **kw)¶

Bases: PipelineTaskConfig

Configuration for the MakeDirectWarpTask.

The config fields are as similar as possible to the corresponding fields in MakeWarpConfig.

Notes

The config fields are in camelCase to match the fields in the earlier version of the makeWarp task as closely as possible.

Attributes Summary

`MAX_NUMBER_OF_NOISE_REALIZATIONS`	numberOfNoiseRealizations is defined as a RangeField to prevent from making multiple output connections and blowing up the memory usage by accident.
`bgSubtracted`
`border`	Pad the patch boundary of the warp by these many pixels, so as to allow for PSF-matching later (`int`, default `256`)
`coaddPsf`	Configuration for CoaddPsf (`CoaddPsfConfig`, default `<class 'lsst.meas.algorithms.CoaddPsfConfig'>`)
`connections`	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
`doApplyNewBackground`	Apply the new backgrounds from the `background_apply_list` connection? (`bool`, default `False`)
`doApplySkyCorr`
`doPreWarpInterpolation`	Interpolate over bad pixels before warping? (`bool`, default `False`)
`doRevertOldBackground`	Revert the old backgrounds from the `background_revert_list` connection? (`bool`, default `False`)
`doSelectPreWarp`	Select ccds before warping? (`bool`, default `True`)
`doWarpMaskedFraction`	Warp the masked fraction image? (`bool`, default `False`)
`history`
`idGenerator`	Configuration for how to generate catalog IDs from data IDs.
`includeCalibVar`	Add photometric calibration variance to warp variance plane? (`bool`, default `False`)
`inputRecorder`	Subtask that helps fill CoaddInputs catalogs added to the final coadd (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>`)
`maskedFractionWarper`	Configuration for the warp that warps the mask fraction image (`WarperConfig`, default `<class 'lsst.afw.math._warper.WarperConfig'>`)
`numberOfNoiseRealizations`	Number of noise realizations to simulate and persist.
`preWarpInterpolation`	Interpolation task to use for pre-warping interpolation (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.cloughTocher2DInterpolator.CloughTocher2DInterpolateConfig'>`)
`saveLogOutput`	Flag to enable/disable saving of log output for a task, enabled by default.
`seedOffset`	Offset to the seed used for the noise realization.
`select`	Image selection subtask.
`useMedianVariance`	Use the median of variance plane in the input calexp to generate noise realizations? If False, per-pixel variance will be used.
`useVisitSummaryPsf`	If True, use the PSF model and aperture corrections from the 'visit_summary' connection to make the warp.
`warper`	Configuration for the warper that warps the image and noise (`WarperConfig`, default `<class 'lsst.afw.math._warper.WarperConfig'>`)

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

MAX_NUMBER_OF_NOISE_REALIZATIONS = 3¶: numberOfNoiseRealizations is defined as a RangeField to prevent from making multiple output connections and blowing up the memory usage by accident. An upper bound of 3 is based on the best guess of the maximum number of noise realizations that will be used for metadetection.

bgSubtracted¶

border¶: Pad the patch boundary of the warp by these many pixels, so as to allow for PSF-matching later (int, default 256)

coaddPsf¶: Configuration for CoaddPsf (CoaddPsfConfig, default <class 'lsst.meas.algorithms.CoaddPsfConfig'>)

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

doApplyNewBackground¶: Apply the new backgrounds from the background_apply_list connection? (bool, default False)

doApplySkyCorr¶

doPreWarpInterpolation¶: Interpolate over bad pixels before warping? (bool, default False)

doRevertOldBackground¶: Revert the old backgrounds from the background_revert_list connection? (bool, default False)

doSelectPreWarp¶: Select ccds before warping? (bool, default True)

doWarpMaskedFraction¶: Warp the masked fraction image? (bool, default False)

history¶: Read-only history.

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

includeCalibVar¶: Add photometric calibration variance to warp variance plane? (bool, default False)

inputRecorder¶: Subtask that helps fill CoaddInputs catalogs added to the final coadd (ConfigurableInstance, default <class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>)

maskedFractionWarper¶: Configuration for the warp that warps the mask fraction image (WarperConfig, default <class 'lsst.afw.math._warper.WarperConfig'>)

numberOfNoiseRealizations¶

Number of noise realizations to simulate and persist. (int, default 0)

Valid Range = [0,3]

preWarpInterpolation¶: Interpolation task to use for pre-warping interpolation (ConfigurableInstance, default <class 'lsst.meas.algorithms.cloughTocher2DInterpolator.CloughTocher2DInterpolateConfig'>)

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

seedOffset¶: Offset to the seed used for the noise realization. This can be used to create a different noise realization if the default ones are catastrophic, or for testing sensitivity to the noise. (int, default 0)

select¶: Image selection subtask. (ConfigurableInstance, default <class 'lsst.pipe.tasks.selectImages.PsfWcsSelectImagesConfig'>)

useMedianVariance¶: Use the median of variance plane in the input calexp to generate noise realizations? If False, per-pixel variance will be used. (bool, default True)

useVisitSummaryPsf¶: If True, use the PSF model and aperture corrections from the ‘visit_summary’ connection to make the warp. If False, use the PSF model and aperture corrections from the ‘calexp’ connection. (bool, default True)

warper¶: Configuration for the warper that warps the image and noise (WarperConfig, default <class 'lsst.afw.math._warper.WarperConfig'>)

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 Task 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:

itemsItemsView

Iterator of tuples for each configuration. Tuple items are:

Field name.
Field value.

keys()¶

Get field names.

Returns:

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

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, extraLocals=None)¶

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

Parameters:

streamfile-like object, str, bytes, or CodeType

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.

extraLocalsdict of str to object, optional

Any extra variables to include in local scope when loading.

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, extraLocals=None)¶

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

Parameters:

codestr, bytes, or CodeType

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.

extraLocalsdict of str to object, optional

Any extra variables to include in local scope when loading.

Raises:

ValueError: Raised if a key in extraLocals is the same value as the value of the root argument.

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.
rootstr, optional: 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() → None¶

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:

valuesValuesView: Iterator of field values.

Navigation

MakeDirectWarpConfig¶