UpdateVisitSummaryConfig¶
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class
lsst.drp.tasks.update_visit_summary.UpdateVisitSummaryConfig¶ Bases:
lsst.pipe.base.PipelineTaskConfigConfiguration for UpdateVisitSummaryTask.
Notes
The configuration defaults for this task reflect a simple or “least common denominator” pipeline, not the more complete, more sophisticated pipeline we run on the instruments we support best. The expectation is that the various full pipeline definitions will generally import the simpler definition, so making the defaults correspond to any full pipeline would just lead to the simple pipeline setting them back to the simple-pipeline values and the full pipeline still having to then override them to the full-pipeline values.
Attributes Summary
background_providerWhich connection(s) and behavior to use when applying background overrides. compute_summary_statsSubtask that computes summary statistics from Exposure components. connectionsConfigurations describing the connections of the PipelineTask to datatypes ( Connections, default<class 'lsst.pipe.base.config.Connections'>)historyphoto_calib_providerWhich connection and behavior to use when applying photometric calibration overrides. saveLogOutputFlag to enable/disable saving of log output for a task, enabled by default. saveMetadataFlag to enable/disable metadata saving for a task, enabled by default. wcs_providerWhich connection and behavior to use when applying WCS overrides. Methods Summary
compare(other[, shortcut, rtol, atol, output])Compare this configuration to another Configfor 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
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background_provider¶ Which connection(s) and behavior to use when applying background overrides. (
str, default'input_summary')Allowed values:
'input_summary'- The input visit summary catalog already includes summary statistics for the final backgrounds that can be used as-is.
'replacement'- {“The ‘background_originals’ connection refers to a background model that has been superseded by the model referred to by the ‘background_overrides’ connection.”}
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compute_summary_stats¶ Subtask that computes summary statistics from Exposure components. (
ConfigurableInstance, default<class 'lsst.pipe.tasks.computeExposureSummaryStats.ComputeExposureSummaryStatsConfig'>)
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connections¶ Configurations describing the connections of the PipelineTask to datatypes (
Connections, default<class 'lsst.pipe.base.config.Connections'>)
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history¶
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photo_calib_provider¶ Which connection and behavior to use when applying photometric calibration overrides. (
str, default'input_summary')Allowed values:
'input_summary'- Propagate the PhotoCalib from the input visit summary catalog and do not recompute photometric calibration summary statistics.
'tract'- {“Use the ‘photo_calib_overrides_tract’ connection to load an
ExposureCatalogwith {visit, tract} dimensions and per-detector rows, and recommpute photometric calibration summary statistics.”} 'global'- {“Use the ‘photo_calib_overrides_global’ connection to load an
ExposureCatalogwith {visit} dimensions and per-detector rows, and recommpute photometric calibration summary statistics.”}
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saveLogOutput¶ Flag to enable/disable saving of log output for a task, enabled by default. (
bool, defaultTrue)
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saveMetadata¶ Flag to enable/disable metadata saving for a task, enabled by default. (
bool, defaultTrue)
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wcs_provider¶ Which connection and behavior to use when applying WCS overrides. (
str, default'input_summary')Allowed values:
'input_summary'- Propagate the WCS from the input visit summary catalog and do not recompute WCS-based summary statistics.
'tract'- {“Use the ‘wcs_overrides_tract’ connection to load an
ExposureCatalogwith {visit, tract} dimensions and per-detector rows, and recommpute WCS-based summary statistics.”} 'global'- {“Use the ‘wcs_overrides_global’ connection to load an
ExposureCatalogwith {visit} dimensions and per-detector rows, and recommpute WCS-based summary statistics.”}
Methods Documentation
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compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶ Compare this configuration to another
Configfor equality.Parameters: - other :
lsst.pex.config.Config Other
Configobject 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 Truewhen the twolsst.pex.config.Configinstances are equal.Falseif there is an inequality.
See also
Notes
Unselected targets of
RegistryFieldfields and unselected choices ofConfigChoiceFieldfields are not considered by this method.Floating point comparisons are performed by
numpy.allclose.- other :
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formatHistory(name, **kwargs)¶ Format a configuration field’s history to a human-readable format.
Parameters: - name :
str Name of a
Fieldin this config.- kwargs
Keyword arguments passed to
lsst.pex.config.history.format.
Returns: - history :
str A string containing the formatted history.
See also
- name :
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freeze()¶ Make this config, and all subconfigs, read-only.
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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 :
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keys()¶ Get field names.
Returns: - names :
dict_keys List of
lsst.pex.config.Fieldnames.
See also
lsst.pex.config.Config.iterkeys
- names :
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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
myFieldis set to5.
- filename :
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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
myFieldis set to5.- filename :
str, optional Name of the configuration file, or
Noneif 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
loadFromStringinstead for most of these types.- stream : file-like object,
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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
myFieldis set to5.- filename :
str, optional Name of the configuration file, or
Noneif unknown or contained in the stream. Used for error reporting.
- code :
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names()¶ Get all the field names in the config, recursively.
Returns:
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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 :
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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
Truethen do not includeimportstatements in output, this is to support human-oriented output frompipetaskwhere additional clutter is not useful.
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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 :
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setDefaults()¶ Subclass hook for computing defaults.
Notes
Derived
Configclasses that must compute defaults rather than using theFieldinstances’s defaults should do so here. To correctly use inherited defaults, implementations ofsetDefaultsmust call their base class’ssetDefaults.
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toDict()¶ Make a dictionary of field names and their values.
Returns: See also
Notes
This method uses the
toDictmethod of individual fields. Subclasses ofFieldmay need to implement atoDictmethod for this method to work.
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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
__atand__labelkeyword 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 aConfiginstance’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
fieldAandfieldC:>>> 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!'
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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
validatemethods.Complex single-field validation can be defined by deriving new Field types. For convenience, some derived
lsst.pex.config.Field-types (ConfigFieldandConfigChoiceField) are defined inlsst.pex.configthat handle recursing into subconfigs.Inter-field relationships should only be checked in derived
Configclasses after calling this method, and base validation is complete.
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values()¶ Get field values.
Returns: - values :
dict_values Iterator of field values.
- values :
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