PiffPsfDeterminerConfig¶
- class lsst.meas.extensions.piff.piffPsfDeterminer.PiffPsfDeterminerConfig(*args, **kw)¶
Bases:
BasePsfDeterminerConfig
Attributes Summary
Include star images used for fitting in PSF model object.
Random seed to use to downsample candidates.
GalSim interpolant name for Piff to use.
Maximum number of candidates to consider.
Rescale the weight of bright stars such that their SNR is less than this value.
Minimum fraction of unmasked pixels required to use star.
Internal model size for PIFF (typically odd, but not enforced).
Max fraction of stars to remove as outliers each iteration.
n sigma for chisq outlier rejection.
PIFF-specific logging level, from 0 (least chatty) to 3 (very verbose); note that logs will come out with unrelated notations (e.g.
Configuration file for PIFF in YAML format.
Resolution of the internal PSF model relative to the pixel size; e.g.
Spatial order for PSF kernel creation.
Size of the postage stamp (in native pixels) to render the PSF model.
Which spatial coordinates to regress against in PSF modeling.
List of mask bits for which to set pixel weights to zero.
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.
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
- history¶
Read-only history.
- interpolant¶
GalSim interpolant name for Piff to use. Options include ‘Lanczos(N)’, where N is an integer, along with galsim.Cubic, galsim.Delta, galsim.Linear, galsim.Nearest, galsim.Quintic, and galsim.SincInterpolant. Ignored if piffPsfConfigYaml is set. (
str
, default'Lanczos(11)'
)
- maxCandidates¶
Maximum number of candidates to consider. Will down-sample if given more. (
int
, default300
)
- maxSNR¶
Rescale the weight of bright stars such that their SNR is less than this value. (
float
, default200.0
)
- minimumUnmaskedFraction¶
Minimum fraction of unmasked pixels required to use star. (
float
, default0.5
)
- modelSize¶
Internal model size for PIFF (typically odd, but not enforced). Partially ignored if piffPsfConfigYaml is set. (
int
, default25
)
- outlierMaxRemove¶
Max fraction of stars to remove as outliers each iteration. Ignored if piffPsfConfigYaml is set. (
float
, default0.05
)
- outlierNSigma¶
n sigma for chisq outlier rejection. Ignored if piffPsfConfigYaml is set. (
float
, default4.0
)
- piffLoggingLevel¶
PIFF-specific logging level, from 0 (least chatty) to 3 (very verbose); note that logs will come out with unrelated notations (e.g. WARNING does not imply a warning.) (
int
, default0
)Valid Range = [0,3)
- piffPsfConfigYaml¶
Configuration file for PIFF in YAML format. This overrides many other settings in this config and is not validated ahead of runtime. (
str
, defaultNone
)
- samplingSize¶
Resolution of the internal PSF model relative to the pixel size; e.g. 0.5 is equal to 2x oversampling. This affects only the size of the PSF model stamp if piffPsfConfigYaml is set. (
float
, default1
)
- spatialOrder¶
Spatial order for PSF kernel creation. Ignored if piffPsfConfigYaml is set. (
int
, default2
)
- stampSize¶
Size of the postage stamp (in native pixels) to render the PSF model. Should be odd. (
int
, defaultNone
)
- useCoordinates¶
Which spatial coordinates to regress against in PSF modeling. (
str
, default'pixel'
)Allowed values:
'pixel'
Regress against pixel coordinates
'field'
Regress against field angles
'sky'
Regress against RA/Dec
'None'
Field is optional
- zeroWeightMaskBits¶
List of mask bits for which to set pixel weights to zero. (
List
, default['BAD', 'CR', 'INTRP', 'SAT', 'SUSPECT', 'NO_DATA']
)
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 isTrue
.- rtol
float
, optional Relative tolerance for floating point comparisons.
- atol
float
, optional Absolute tolerance for floating point comparisons.
- outputcallable, optional
A callable that takes a string, used (possibly repeatedly) to report inequalities.
- other
- Returns:
- isEqual
bool
True
when the twolsst.pex.config.Config
instances are equal.False
if there is an inequality.
- isEqual
See also
Notes
Unselected targets of
RegistryField
fields and unselected choices ofConfigChoiceField
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
.
- name
- Returns:
- history
str
A string containing the formatted history.
- history
See also
- freeze()¶
Make this config, and all subconfigs, read-only.
- items()¶
Get configurations as
(field name, field value)
pairs.- Returns:
- items
ItemsView
Iterator of tuples for each configuration. Tuple items are:
Field name.
Field value.
- items
- keys()¶
Get field names.
- Returns:
- names
KeysView
List of
lsst.pex.config.Field
names.
- 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 to5
.
- filename
- 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
, orCodeType
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 to5
.- filename
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.- extraLocals
dict
ofstr
toobject
, optional Any extra variables to include in local scope when loading.
- streamfile-like object,
See also
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:
- code
str
,bytes
, orCodeType
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 to5
.- filename
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.- extraLocals
dict
ofstr
toobject
, optional Any extra variables to include in local scope when loading.
- code
- Raises:
- ValueError
Raised if a key in extraLocals is the same value as the value of the root argument.
- 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
).
- filename
- 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
str
, optional 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 includeimport
statements in output, this is to support human-oriented output frompipetask
where additional clutter is not useful.
- saveToString(skipImports=False)¶
Return the Python script form of this configuration as an executable string.
- Parameters:
- Returns:
- code
str
A code string readable by
loadFromString
.
- code
- setDefaults()¶
Subclass hook for computing defaults.
Notes
Derived
Config
classes that must compute defaults rather than using theField
instances’s defaults should do so here. To correctly use inherited defaults, implementations ofsetDefaults
must call their base class’ssetDefaults
.
- toDict()¶
Make a dictionary of field names and their values.
See also
Notes
This method uses the
toDict
method of individual fields. Subclasses ofField
may need to implement atoDict
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 aConfig
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
andfieldC
:>>> 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
andConfigChoiceField
) are defined inlsst.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
ValuesView
Iterator of field values.
- values