MatchTractCatalogProbabilisticConfig¶
-
class
lsst.pipe.tasks.match_tract_catalog_probabilistic.
MatchTractCatalogProbabilisticConfig
¶ Bases:
lsst.meas.astrom.MatchProbabilisticConfig
,lsst.pipe.tasks.match_tract_catalog.MatchTractCatalogSubConfig
Config class for the MatchTractCatalogSubTask to define methods returning values that depend on multiple config settings.
Attributes Summary
column_ref_order
Name of column in reference catalog specifying order for matching. columns_in_ref
columns_in_target
columns_ref_copy
Reference table columns to copy unchanged into both match tables ( List
, default[]
)columns_ref_flux
List of reference flux columns to nansum total magnitudes from if column_order is None ( List
, default[]
)columns_ref_meas
The reference table columns to compute match likelihoods from (usually centroids and fluxes/magnitudes) ( List
)columns_ref_select_false
Reference table columns to require to be False for selecting sources ( List
, default()
)columns_ref_select_true
Reference table columns to require to be True for selecting sources ( List
, default()
)columns_target_copy
Target table columns to copy unchanged into both match tables ( List
, default[]
)columns_target_err
Target table columns with standard errors (sigma) corresponding to columns_ref_meas ( List
)columns_target_meas
Target table columns with measurements corresponding to columns_ref_meas ( List
)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',)
)coord_format
Configuration for coordinate conversion ( ConvertCatalogCoordinatesConfig
, default<class 'lsst.meas.astrom.matcher_probabilistic.ConvertCatalogCoordinatesConfig'>
)history
mag_brightest_ref
Bright magnitude cutoff for selecting reference sources to match. mag_faintest_ref
Faint magnitude cutoff for selecting reference sources to match. match_dist_max
Maximum match distance. match_n_finite_min
Minimum number of columns with a finite value to measure match likelihood ( int
, default3
)match_n_max
Maximum number of spatial matches to consider (in ascending distance order). order_ascending
Whether to order reference match candidates in ascending order of column_ref_order (should be False if the column is a flux and True if it is a magnitude. 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
-
column_ref_order
¶ Name of column in reference catalog specifying order for matching. Derived from columns_ref_flux if not set. (
str
, defaultNone
)
-
columns_in_ref
¶
-
columns_in_target
¶
-
columns_ref_copy
¶ Reference table columns to copy unchanged into both match tables (
List
, default[]
)
-
columns_ref_flux
¶ List of reference flux columns to nansum total magnitudes from if column_order is None (
List
, default[]
)
-
columns_ref_meas
¶ The reference table columns to compute match likelihoods from (usually centroids and fluxes/magnitudes) (
List
)
-
columns_ref_select_false
¶ Reference table columns to require to be False for selecting sources (
List
, default()
)
-
columns_ref_select_true
¶ Reference table columns to require to be True for selecting sources (
List
, default()
)
-
columns_target_copy
¶ Target table columns to copy unchanged into both match tables (
List
, default[]
)
-
columns_target_err
¶ Target table columns with standard errors (sigma) corresponding to columns_ref_meas (
List
)
-
columns_target_meas
¶ Target table columns with measurements corresponding to columns_ref_meas (
List
)
-
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',)
)
-
coord_format
¶ Configuration for coordinate conversion (
ConvertCatalogCoordinatesConfig
, default<class 'lsst.meas.astrom.matcher_probabilistic.ConvertCatalogCoordinatesConfig'>
)
-
history
¶
-
mag_brightest_ref
¶ Bright magnitude cutoff for selecting reference sources to match. Ignored if column_ref_order is None. (
float
, default-inf
)
-
mag_faintest_ref
¶ Faint magnitude cutoff for selecting reference sources to match. Ignored if column_ref_order is None. (
float
, defaultinf
)
-
match_dist_max
¶ Maximum match distance. Units must be arcseconds if coords_spherical, or else match those of column_*_coord[12] multiplied by coords_*_factor. (
float
, default0.5
)
-
match_n_finite_min
¶ Minimum number of columns with a finite value to measure match likelihood (
int
, default3
)
-
match_n_max
¶ Maximum number of spatial matches to consider (in ascending distance order). (
int
, default10
)
-
order_ascending
¶ Whether to order reference match candidates in ascending order of column_ref_order (should be False if the column is a flux and True if it is a magnitude. (
bool
, defaultFalse
)
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.
- output : callable, optional
A callable that takes a string, used (possibly repeatedly) to report inequalities.
Returns: - isEqual :
bool
True
when the twolsst.pex.config.Config
instances are equal.False
if there is an inequality.
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
.- other :
-
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.
See also
- name :
-
freeze
()¶ Make this config, and all subconfigs, read-only.
-
items
()¶ Get configurations as
(field name, field value)
pairs.Returns: - items :
dict_items
Iterator of tuples for each configuration. Tuple items are:
- Field name.
- Field value.
- items :
-
keys
()¶ Get field names.
Returns: - names :
dict_keys
List of
lsst.pex.config.Field
names.
See also
lsst.pex.config.Config.iterkeys
- 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)¶ Modify this Config in place by executing the Python code in the provided stream.
Parameters: - stream : file-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"
.- 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.
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.- stream : file-like object,
-
loadFromString
(code, root='config', filename=None)¶ Modify this Config in place by executing the Python code in the provided string.
Parameters: - code :
str
,bytes
, 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 to5
.- filename :
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.
- code :
-
names
()¶ Get all the field names in the config, recursively.
Returns:
-
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: - 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 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.
Returns: 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 :
dict_values
Iterator of field values.
- values :
-