FgcmOutputProductsConfig

class lsst.fgcmcal.FgcmOutputProductsConfig

Bases: lsst.pipe.base.PipelineTaskConfig

Config for FgcmOutputProductsTask

Attributes Summary

connections Configurations describing the connections of the PipelineTask to datatypes (Connections, default <class 'lsst.pipe.base.config.Connections'>)
cycleNumber Final fit cycle from FGCM fit (int)
datasetConfig Configuration for writing/reading ingested catalog Deprecated: The datasetConfig was only used for gen2; this config will be removed after v24.
doApplyMeanChromaticCorrection Apply the mean chromatic correction to the zeropoints? (bool, default True)
doAtmosphereOutput Output atmospheres in transmission_atmosphere_fgcm format (bool, default True)
doComposeWcsJacobian Compose Jacobian of WCS with fgcm calibration for output photoCalib? (bool, default True)
doRefcatOutput Output standard stars in reference catalog format Deprecated: doRefcatOutput is no longer supported; this config will be removed after v24 (bool, default False)
doReferenceCalibration Transfer ‘absolute’ calibration from reference catalog? This afterburner step is unnecessary if reference stars were used in the full fit in FgcmFitCycleTask.
doZeropointOutput Output zeropoints in fgcm_photoCalib format (bool, default True)
history
photoCal task to perform ‘absolute’ calibration (ConfigurableInstance, default <class 'lsst.pipe.tasks.photoCal.PhotoCalConfig'>)
physicalFilterMap Mapping from ‘physicalFilter’ to band.
refObjLoader reference object loader for ‘absolute’ photometric calibration Deprecated: refObjLoader is deprecated, and will be removed after v24 (ConfigurableInstance, default <class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>)
referenceMinMatch Minimum number of stars matched to reference catalog to be used in statistics (int, default 50)
referencePixelizationMinStars Minimum number of stars per healpix pixel to select for comparisonto the specified reference catalog (int, default 200)
referencePixelizationNPixels Number of healpix pixels to sample to do comparison.
referencePixelizationNside Healpix nside to pixelize catalog to compare to reference catalog (int, default 64)
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.

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

connections

Configurations describing the connections of the PipelineTask to datatypes (Connections, default <class 'lsst.pipe.base.config.Connections'>)

cycleNumber

Final fit cycle from FGCM fit (int)

datasetConfig

Configuration for writing/reading ingested catalog Deprecated: The datasetConfig was only used for gen2; this config will be removed after v24. (DatasetConfig, default <class 'lsst.meas.algorithms.ingestIndexReferenceTask.DatasetConfig'>)

doApplyMeanChromaticCorrection

Apply the mean chromatic correction to the zeropoints? (bool, default True)

doAtmosphereOutput

Output atmospheres in transmission_atmosphere_fgcm format (bool, default True)

doComposeWcsJacobian

Compose Jacobian of WCS with fgcm calibration for output photoCalib? (bool, default True)

doRefcatOutput

Output standard stars in reference catalog format Deprecated: doRefcatOutput is no longer supported; this config will be removed after v24 (bool, default False)

doReferenceCalibration

Transfer ‘absolute’ calibration from reference catalog? This afterburner step is unnecessary if reference stars were used in the full fit in FgcmFitCycleTask. (bool, default False)

doZeropointOutput

Output zeropoints in fgcm_photoCalib format (bool, default True)

history
photoCal

task to perform ‘absolute’ calibration (ConfigurableInstance, default <class 'lsst.pipe.tasks.photoCal.PhotoCalConfig'>)

physicalFilterMap

Mapping from ‘physicalFilter’ to band. (Dict, default {})

refObjLoader

reference object loader for ‘absolute’ photometric calibration Deprecated: refObjLoader is deprecated, and will be removed after v24 (ConfigurableInstance, default <class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>)

referenceMinMatch

Minimum number of stars matched to reference catalog to be used in statistics (int, default 50)

referencePixelizationMinStars

Minimum number of stars per healpix pixel to select for comparisonto the specified reference catalog (int, default 200)

referencePixelizationNPixels

Number of healpix pixels to sample to do comparison. Doing too many will take a long time and not yield any more precise results because the final number is the median offset (per band) from the set of pixels. (int, default 100)

referencePixelizationNside

Healpix nside to pixelize catalog to compare to reference catalog (int, default 64)

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)

Methods Documentation

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

Compare this configuration to another Config for equality.

Parameters:
other : lsst.pex.config.Config

Other Config object 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

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:
name : str

Name of a Field in this config.

kwargs

Keyword arguments passed to lsst.pex.config.history.format.

Returns:
history : str

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:
items : dict_items

Iterator of tuples for each configuration. Tuple items are:

  1. Field name.
  2. Field value.
keys()

Get field names.

Returns:
names : dict_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:
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 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:
stream : file-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".

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 myField is set to 5.

filename : str, 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:
code : str, bytes, 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 myField is set to 5.

filename : str, 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:
names : list of str

Field names.

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).

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 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:
skipImports : bool, 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:
code : str

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:
values : dict_values

Iterator of field values.