SubtractBackgroundConfig

class lsst.meas.algorithms.SubtractBackgroundConfig

Bases: lsst.pex.config.Config

Config for SubtractBackgroundTask

Many of these fields match fields in lsst.afw.math.BackgroundControl, the control class for lsst.afw.math.makeBackground

Attributes Summary

algorithm how to interpolate the background values.
approxOrderX Approximation order in X for background Chebyshev (valid only with useApprox=True) (int, default 6)
approxOrderY Approximation order in Y for background Chebyshev (valid only with useApprox=True) (int, default -1)
binSize how large a region of the sky should be used for each background point (int, default 128)
binSizeX Sky region size to be used for each background point in X direction.
binSizeY Sky region size to be used for each background point in Y direction.
history
ignoredPixelMask Names of mask planes to ignore while estimating the background (List, default ['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'])
isNanSafe Ignore NaNs when estimating the background (bool, default False)
statisticsProperty type of statistic to use for grid points (str, default 'MEANCLIP')
undersampleStyle behaviour if there are too few points in grid for requested interpolation style (str, default 'REDUCE_INTERP_ORDER')
useApprox Use Approximate (Chebyshev) to model background.
weighting Use inverse variance weighting in calculation (valid only with useApprox=True) (bool, default True)

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.
iteritems() Iterate over (field name, field value) pairs.
iterkeys() Iterate over field names
itervalues() Iterate over field values.
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.
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.
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

algorithm

how to interpolate the background values. This maps to an enum; see afw::math::Background (str, default 'AKIMA_SPLINE')

Allowed values:

'CONSTANT'
Use a single constant value
'LINEAR'
Use linear interpolation
'NATURAL_SPLINE'
cubic spline with zero second derivative at endpoints
'AKIMA_SPLINE'
higher-level nonlinear spline that is more robust to outliers
'NONE'
No background estimation is to be attempted
'None'
Field is optional
approxOrderX

Approximation order in X for background Chebyshev (valid only with useApprox=True) (int, default 6)

approxOrderY

Approximation order in Y for background Chebyshev (valid only with useApprox=True) (int, default -1)

binSize

how large a region of the sky should be used for each background point (int, default 128)

Valid Range = [1,inf)

binSizeX

Sky region size to be used for each background point in X direction. If 0, the binSize config is used. (int, default 0)

Valid Range = [0,inf)

binSizeY

Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. (int, default 0)

Valid Range = [0,inf)

history
ignoredPixelMask

Names of mask planes to ignore while estimating the background (List, default ['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'])

isNanSafe

Ignore NaNs when estimating the background (bool, default False)

statisticsProperty

type of statistic to use for grid points (str, default 'MEANCLIP')

Allowed values:

'MEANCLIP'
clipped mean
'MEAN'
unclipped mean
'MEDIAN'
median
'None'
Field is optional
undersampleStyle

behaviour if there are too few points in grid for requested interpolation style (str, default 'REDUCE_INTERP_ORDER')

Allowed values:

'THROW_EXCEPTION'
throw an exception if there are too few points
'REDUCE_INTERP_ORDER'
use an interpolation style with a lower order.
'INCREASE_NXNYSAMPLE'
Increase the number of samples used to make the interpolation grid.
'None'
Field is optional
useApprox

Use Approximate (Chebyshev) to model background. (bool, default True)

weighting

Use inverse variance weighting in calculation (valid only with useApprox=True) (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 : list

List of tuples for each configuration. Tuple items are:

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

Iterate over (field name, field value) pairs.

Yields:
item : tuple

Tuple items are:

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

Iterate over field names

Yields:
key : str

A field’s key (attribute name).

itervalues()

Iterate over field values.

Yields:
value : obj

A field value.

keys()

Get field names.

Returns:
names : list

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:
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.

Deprecated: For backwards compatibility, older config files that use root="root" instead of root="config" will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

See also

lsst.pex.config.Config.loadFromStream, lsst.pex.config.Config.save, lsst.pex.config.Config.saveFromStream

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, 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.

Deprecated: For backwards compatibility, older config files that use root="root" instead of root="config" will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

filename : str, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

See also

lsst.pex.config.Config.load, lsst.pex.config.Config.save, lsst.pex.config.Config.saveFromStream

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.

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 : list

List of field values.