DiffMatchedTractCatalogConfig

class lsst.pipe.tasks.diff_matched_tract_catalog.DiffMatchedTractCatalogConfig(*args, **kw)

Bases: PipelineTaskConfig

Attributes Summary

column_matched_prefix_ref

The prefix for matched columns copied from the reference catalog (str, default 'refcat_')

column_ref_extended

The boolean reference table column specifying if the target is extended (str, default 'is_pointsource')

column_ref_extended_inverted

Whether column_ref_extended specifies if the object is compact, not extended (bool, default True)

column_target_extended

The target table column estimating the extendedness of the object (0 <= x <= 1) (str, default 'refExtendedness')

columns_flux

Configs for flux columns for each band (ConfigDict, default {})

columns_in_ref

columns_in_target

columns_ref_copy

Reference table columns to copy into cat_matched (List, default [])

columns_ref_mag_to_nJy

Reference table AB mag columns to convert to nJy flux columns with new names (Dict, default {})

columns_target_coord_err

Target table coordinate columns with standard errors (sigma) (List)

columns_target_copy

Target table columns to copy into cat_matched (List, default ('patch',))

columns_target_mag_to_nJy

Target table AB mag columns to convert to nJy flux columns with new names (Dict, default {})

columns_target_select_false

Target table columns to require to be False for selecting sources (List, default ('merge_peak_sky',))

columns_target_select_true

Target table columns to require to be True for selecting sources (List, default ('detect_isPrimary',))

connections

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

coord_format

Configuration for coordinate conversion (ConvertCatalogCoordinatesConfig, default <class 'lsst.meas.astrom.matcher_probabilistic.ConvertCatalogCoordinatesConfig'>)

extendedness_cut

Minimum extendedness for a measured source to be considered extended (float, default 0.5)

history

include_unmatched

Whether to include unmatched rows in the matched table (bool, default False)

mag_brightest_ref

Brightest magnitude cutoff for binning (float, default 15)

mag_ceiling_target

Ceiling (maximum/faint) magnitude for target sources (float, default None)

mag_faintest_ref

Faintest magnitude cutoff for binning (float, default 30)

mag_num_bins

Number of magnitude bins (int, default 15)

mag_zeropoint_ref

Magnitude zeropoint for reference sources (float, default 31.4)

mag_zeropoint_target

Magnitude zeropoint for target sources (float, default 31.4)

percentiles

Percentiles to compute for diff/chi values (List, default ('2.275', '15.866', '84.134', '97.725'))

saveLogOutput

Flag to enable/disable saving of log output for a task, enabled by default.

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

column_matched_prefix_ref

The prefix for matched columns copied from the reference catalog (str, default 'refcat_')

column_ref_extended

The boolean reference table column specifying if the target is extended (str, default 'is_pointsource')

column_ref_extended_inverted

Whether column_ref_extended specifies if the object is compact, not extended (bool, default True)

column_target_extended

The target table column estimating the extendedness of the object (0 <= x <= 1) (str, default 'refExtendedness')

columns_flux

Configs for flux columns for each band (ConfigDict, default {})

columns_in_ref
columns_in_target
columns_ref_copy

Reference table columns to copy into cat_matched (List, default [])

columns_ref_mag_to_nJy

Reference table AB mag columns to convert to nJy flux columns with new names (Dict, default {})

columns_target_coord_err

Target table coordinate columns with standard errors (sigma) (List)

columns_target_copy

Target table columns to copy into cat_matched (List, default ('patch',))

columns_target_mag_to_nJy

Target table AB mag columns to convert to nJy flux columns with new names (Dict, default {})

columns_target_select_false

Target table columns to require to be False for selecting sources (List, default ('merge_peak_sky',))

columns_target_select_true

Target table columns to require to be True for selecting sources (List, default ('detect_isPrimary',))

connections: pexConfig.ConfigField

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

coord_format

Configuration for coordinate conversion (ConvertCatalogCoordinatesConfig, default <class 'lsst.meas.astrom.matcher_probabilistic.ConvertCatalogCoordinatesConfig'>)

extendedness_cut

Minimum extendedness for a measured source to be considered extended (float, default 0.5)

history

Read-only history.

include_unmatched

Whether to include unmatched rows in the matched table (bool, default False)

mag_brightest_ref

Brightest magnitude cutoff for binning (float, default 15)

mag_ceiling_target

Ceiling (maximum/faint) magnitude for target sources (float, default None)

mag_faintest_ref

Faintest magnitude cutoff for binning (float, default 30)

mag_num_bins

Number of magnitude bins (int, default 15)

mag_zeropoint_ref

Magnitude zeropoint for reference sources (float, default 31.4)

mag_zeropoint_target

Magnitude zeropoint for target sources (float, default 31.4)

percentiles

Percentiles to compute for diff/chi values (List, default ('2.275', '15.866', '84.134', '97.725'))

saveLogOutput

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

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.

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:
itemsItemsView

Iterator of tuples for each configuration. Tuple items are:

  1. Field name.

  2. 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.

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.

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.

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.

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.

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:
valuesValuesView

Iterator of field values.