ExposureInjectConfig

class lsst.source.injection.ExposureInjectConfig(*args, **kw)

Bases: VisitInjectConfig

Exposure-level configuration for source injection tasks.

Attributes Summary

calib_flux_radius

Aperture radius (in pixels) that was used to define the calibration for this image+catalog.

col_dec

Column name for declination (in degrees).

col_draw_size

Column name providing pixel size of the region into which the source profile will be drawn.

col_mag

Column name for magnitude.

col_ra

Column name for right ascension (in degrees).

col_source_type

Column name for the source type used in the input catalog.

col_stamp

Column name to identify FITS file postage stamps for direct injection.

col_trail_length

Column name for specifying a satellite trail length (in pixels).

connections

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

external_photo_calib

If True, use the photometric calibration from a visit summary table.

external_psf

If True, use the PSF model from a visit summary table.

external_wcs

If True, use the astrometric calibration from a visit summary table.

fits_alignment

How should injections from FITS files be aligned? (str, default 'pixel')

history

mask_plane_name

Name assigned to the injected mask plane which is attached to the output exposure.

process_all_data_ids

If True, all input data IDs will be processed, even those where no synthetic sources were identified for injection.

saveLogOutput

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

selection

A string that can be evaluated as a boolean expression to select rows in the input injection catalog.

stamp_prefix

String to prefix to the entries in the col_stamp column, for example, a directory path.

trim_padding

Size of the pixel padding surrounding the image.

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

calib_flux_radius

Aperture radius (in pixels) that was used to define the calibration for this image+catalog. This will be used to produce the correct instrumental fluxes within the radius. This value should match that of the field defined in slot_CalibFlux_instFlux. (float, default 12.0)

col_dec

Column name for declination (in degrees). (str, default 'dec')

col_draw_size

Column name providing pixel size of the region into which the source profile will be drawn. If this column is not provided as an input, the GalSim method getGoodImageSize will be used instead. (str, default 'draw_size')

col_mag

Column name for magnitude. (str, default 'mag')

col_ra

Column name for right ascension (in degrees). (str, default 'ra')

col_source_type

Column name for the source type used in the input catalog. Must match one of the surface brightness profiles defined by GalSim. (str, default 'source_type')

col_stamp

Column name to identify FITS file postage stamps for direct injection. The strings in this column will be prefixed with a string given in stamp_prefix, to assist in providing the full path to a FITS file. (str, default 'stamp')

col_trail_length

Column name for specifying a satellite trail length (in pixels). (str, default 'trail_length')

connections: pexConfig.ConfigField

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

external_photo_calib

If True, use the photometric calibration from a visit summary table. If False (default), use the photometric calibration attached to the input exposure. (bool, default False)

external_psf

If True, use the PSF model from a visit summary table. If False (default), use the PSF model attached to the input exposure. (bool, default False)

external_wcs

If True, use the astrometric calibration from a visit summary table. If False (default), use the astrometric calibration attached to the input exposure. (bool, default False)

fits_alignment

How should injections from FITS files be aligned? (str, default 'pixel')

Allowed values:

'wcs'

Input image will be transformed such that the local WCS in the FITS header matches the local WCS in the target image. I.e., North, East, and angular distances in the input image will match North, East, and angular distances in the target image.

'pixel'

Input image will not be transformed. Up, right, and pixel distances in the input image will match up, right and pixel distances in the target image.

'None'

Field is optional

history

Read-only history.

mask_plane_name

Name assigned to the injected mask plane which is attached to the output exposure. (str, default 'INJECTED')

process_all_data_ids

If True, all input data IDs will be processed, even those where no synthetic sources were identified for injection. In such an eventuality this returns a clone of the input image, renamed to the output_exposure connection name and with an empty mask_plane_name mask plane attached. (bool, default False)

saveLogOutput

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

selection

A string that can be evaluated as a boolean expression to select rows in the input injection catalog. To make use of this configuration option, the internal object name injection_catalog must be used. For example, to select all sources with a magnitude in the range 20.0 < mag < 25.0, set selection="(injection_catalog['mag'] > 20.0) & (injection_catalog['mag'] < 25.0)". The {visit} field will be substituted for the current visit ID of the exposure being processed. For example, to select only visits that match a user-supplied visit column in the input injection catalog, set selection="np.isin(injection_catalog['visit'], {visit})". (str, default None)

stamp_prefix

String to prefix to the entries in the col_stamp column, for example, a directory path. (str, default '')

trim_padding

Size of the pixel padding surrounding the image. Only those synthetic sources with a centroid falling within the image + trim_padding region will be considered for source injection. (int, default 100)

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.