MakeDirectWarpConfig¶
- class lsst.drp.tasks.make_direct_warp.MakeDirectWarpConfig(*args, **kw)¶
Bases:
PipelineTaskConfigConfiguration 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
numberOfNoiseRealizations is defined as a RangeField to prevent from making multiple output connections and blowing up the memory usage by accident.
Pad the patch boundary of the warp by these many pixels, so as to allow for PSF-matching later (
int, default256)Configuration for CoaddPsf (
CoaddPsfConfig, default<class 'lsst.meas.algorithms.CoaddPsfConfig'>)Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
Apply flat background ratio prior to background adjustments? Should be True if processing was done with an illumination correction.
Apply the new backgrounds from the
background_apply_listconnection? (bool, defaultFalse)Interpolate over bad pixels before warping? (
bool, defaultFalse)Revert the old backgrounds from the
background_revert_listconnection? (bool, defaultFalse)Select ccds before warping? (
bool, defaultTrue)Warp the masked fraction image? (
bool, defaultFalse)Configuration for how to generate catalog IDs from data IDs.
Add photometric calibration variance to warp variance plane? Deprecated: Deprecated and disabled.
Subtask that helps fill CoaddInputs catalogs added to the final coadd (
ConfigurableInstance, default<class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>)Configuration for the warp that warps the mask fraction image (
WarperConfig, default<class 'lsst.afw.math._warper.WarperConfig'>)Number of noise realizations to simulate and persist.
Interpolation task to use for pre-warping interpolation (
ConfigurableInstance, default<class 'lsst.meas.algorithms.cloughTocher2DInterpolator.CloughTocher2DInterpolateConfig'>)Flag to enable/disable saving of log output for a task, enabled by default.
Offset to the seed used for the noise realization.
Image selection subtask.
Use the median of variance plane in the input calexp to generate noise realizations? If False, per-pixel variance will be used.
If True, use the photometric calibration from the 'visit_summary' connection to make the warp.
If True, use the PSF model and aperture corrections from the 'visit_summary' connection to make the warp.
If True, use the WCS from the 'visit_summary' connection to make the warp.
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
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.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.
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, default256)
- 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.
- doApplyFlatBackgroundRatio¶
Apply flat background ratio prior to background adjustments? Should be True if processing was done with an illumination correction. (
bool, defaultFalse)
- doApplyNewBackground¶
Apply the new backgrounds from the
background_apply_listconnection? (bool, defaultFalse)
- doApplySkyCorr¶
- doRevertOldBackground¶
Revert the old backgrounds from the
background_revert_listconnection? (bool, defaultFalse)
- 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? Deprecated: Deprecated and disabled. Will be removed after v29. (
bool, defaultFalse)
- 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, default0)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, defaultTrue)
- 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, default0)
- 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, defaultTrue)
- useVisitSummaryPhotoCalib¶
If True, use the photometric calibration from the ‘visit_summary’ connection to make the warp. If False, use the photometric calibration from the ‘calexp’ connection. (
bool, defaultTrue)
- 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, defaultTrue)
- useVisitSummaryWcs¶
If True, use the WCS from the ‘visit_summary’ connection to make the warp. If False, use the WCS from the ‘calexp’ connection. (
bool, defaultTrue)
- 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:
- instrument
InstrumentorNone An instance of the
Instrumentspecified in a pipeline. IfNonethen the pipeline did not specify and instrument.- taskDefaultName
str The default name associated with the
Taskclass. This may be used with instrumental overrides.- pipelineConfigs
IterableofConfigIR An iterable of
ConfigIRobjects that contain overrides to apply to this config instance.- parameters
ParametersIR Parameters defined in a Pipeline which are used in formatting of config values across multiple
Taskin a pipeline.- label
str The label associated with this class’s Task in a pipeline.
- instrument
- 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 isTrue.- rtol
float, optional Relative tolerance for floating point comparisons.
- atol
float, optional Absolute tolerance for floating point comparisons.
- outputcallable, optional
A callable that takes a string, used (possibly repeatedly) to report inequalities.
- other
- Returns:
- isEqual
bool Truewhen the twolsst.pex.config.Configinstances are equal.Falseif there is an inequality.
- isEqual
See also
Notes
Unselected targets of
RegistryFieldfields and unselected choices ofConfigChoiceFieldfields 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:
- name
str Name of a
Fieldin this config.- **kwargs
Keyword arguments passed to
lsst.pex.config.history.format.
- name
- Returns:
- history
str A string containing the formatted history.
- history
See also
- freeze()¶
Make this config, and all subconfigs, read-only.
- items()¶
Get configurations as
(field name, field value)pairs.- Returns:
- items
ItemsView Iterator of tuples for each configuration. Tuple items are:
Field name.
Field value.
- items
- keys()¶
Get field names.
- Returns:
- names
KeysView List of
lsst.pex.config.Fieldnames.
- 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 to5.
- filename
- 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, orCodeType Stream containing configuration override code. If this is a code object, it should be compiled with
mode="exec".- 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 to5.- filename
str, optional Name of the configuration file, or
Noneif unknown or contained in the stream. Used for error reporting.- extraLocals
dictofstrtoobject, optional Any extra variables to include in local scope when loading.
- streamfile-like object,
See also
Notes
For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use
loadFromStringinstead 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:
- code
str,bytes, orCodeType 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 to5.- filename
str, optional Name of the configuration file, or
Noneif unknown or contained in the stream. Used for error reporting.- extraLocals
dictofstrtoobject, optional Any extra variables to include in local scope when loading.
- code
- Raises:
- ValueError
Raised if a key in extraLocals is the same value as the value of the root argument.
- 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:
- outfilefile-like object
Destination file object write the config into. Accepts strings not bytes.
- 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).- skipImports
bool, optional If
Truethen do not includeimportstatements in output, this is to support human-oriented output frompipetaskwhere additional clutter is not useful.
- saveToString(skipImports=False)¶
Return the Python script form of this configuration as an executable string.
- Parameters:
- Returns:
- code
str A code string readable by
loadFromString.
- code
- setDefaults() None¶
Subclass hook for computing defaults.
Notes
Derived
Configclasses that must compute defaults rather than using theFieldinstances’s defaults should do so here. To correctly use inherited defaults, implementations ofsetDefaultsmust call their base class’ssetDefaults.
- toDict()¶
Make a dictionary of field names and their values.
See also
Notes
This method uses the
toDictmethod of individual fields. Subclasses ofFieldmay need to implement atoDictmethod 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 aConfiginstance’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
fieldAandfieldC:>>> 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 (ConfigFieldandConfigChoiceField) are defined inlsst.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.
- values()¶
Get field values.
- Returns:
- values
ValuesView Iterator of field values.
- values