OverscanCorrectionTaskConfig

class lsst.ip.isr.OverscanCorrectionTaskConfig(*args, **kw)

Bases: Config

Overscan correction options.

Attributes Summary

doParallelOverscan

Correct using parallel overscan after serial overscan correction? (bool, default False)

fitType

The method for fitting the overscan bias level.

history

leadingColumnsToSkip

Number of leading columns to skip in serial overscan correction.

leadingRowsToSkip

Number of leading rows to skip in parallel overscan correction.

maskPlanes

Mask planes to reject when measuring overscan (List, default ['BAD', 'SAT'])

maxDeviation

Maximum deviation from median (in ADU) to mask in overscan correction.

numSigmaClip

Rejection threshold (sigma) for collapsing overscan before fit (float, default 3.0)

order

Order of polynomial to fit if overscan fit type is a polynomial, or number of spline knots if overscan fit type is a spline.

overscanIsInt

Treat overscan as an integer image for purposes of fitType=MEDIAN and fitType=MEDIAN_PER_ROW.

parallelOverscanMaskGrowSize

Masks created from saturated bleeds should be grown by this many pixels during construction of the parallel overscan mask.

parallelOverscanMaskThreshold

Threshold above which pixels in the parallel overscan are masked as bleeds.

trailingColumnsToSkip

Number of trailing columns to skip in serial overscan correction.

trailingRowsToSkip

Number of trailing rows to skip in parallel overscan correction.

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

doParallelOverscan

Correct using parallel overscan after serial overscan correction? (bool, default False)

fitType

The method for fitting the overscan bias level. (str, default 'MEDIAN')

Allowed values:

'POLY'

Fit ordinary polynomial to the longest axis of the overscan region

'CHEB'

Fit Chebyshev polynomial to the longest axis of the overscan region

'LEG'

Fit Legendre polynomial to the longest axis of the overscan region

'NATURAL_SPLINE'

Fit natural spline to the longest axis of the overscan region

'CUBIC_SPLINE'

Fit cubic spline to the longest axis of the overscan region

'AKIMA_SPLINE'

Fit Akima spline to the longest axis of the overscan region

'MEAN'

Correct using the mean of the overscan region

'MEANCLIP'

Correct using a clipped mean of the overscan region

'MEDIAN'

Correct using the median of the overscan region

'MEDIAN_PER_ROW'

Correct using the median per row of the overscan region

'None'

Field is optional

history

Read-only history.

leadingColumnsToSkip

Number of leading columns to skip in serial overscan correction. (int, default 0)

leadingRowsToSkip

Number of leading rows to skip in parallel overscan correction. (int, default 0)

maskPlanes

Mask planes to reject when measuring overscan (List, default ['BAD', 'SAT'])

maxDeviation

Maximum deviation from median (in ADU) to mask in overscan correction. (float, default 1000.0)

numSigmaClip

Rejection threshold (sigma) for collapsing overscan before fit (float, default 3.0)

order

Order of polynomial to fit if overscan fit type is a polynomial, or number of spline knots if overscan fit type is a spline. (int, default 1)

overscanIsInt

Treat overscan as an integer image for purposes of fitType=MEDIAN and fitType=MEDIAN_PER_ROW. (bool, default True)

parallelOverscanMaskGrowSize

Masks created from saturated bleeds should be grown by this many pixels during construction of the parallel overscan mask. This value determined from the ITL chip in the LATISS camera (int, default 7)

parallelOverscanMaskThreshold

Threshold above which pixels in the parallel overscan are masked as bleeds. (int, default 100000)

trailingColumnsToSkip

Number of trailing columns to skip in serial overscan correction. (int, default 0)

trailingRowsToSkip

Number of trailing rows to skip in parallel overscan correction. (int, default 0)

Methods Documentation

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:
itemsdict_items

Iterator of tuples for each configuration. Tuple items are:

  1. Field name.

  2. Field value.

keys()

Get field names.

Returns:
namesdict_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:
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)

Modify this Config in place by executing the Python code in the provided stream.

Parameters:
streamfile-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".

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.

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:
codestr, bytes, or compiled string

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.

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.

root

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:
valuesdict_values

Iterator of field values.