InjectedClassSelector¶

class lsst.analysis.tools.actions.vector.InjectedClassSelector(*args, **kw)¶

A selector for injected objects of a given class.

Attributes Summary

`key_class`	Key for the field indicating the class of the object (`str`, default `'ref_source_type'`)
`key_injection_flag`	Key for the field indicating that the object was not injected (per band) (`str`, default `'ref_{band}_injection_flag'`)
`name_class`	Name of the class of objects (`str`)
`plotLabelKey`	Key to use when populating plot info, ignored if empty string (`str`, default `''`)
`value_compare`	Value of the type_key field for objects that are stars (`str`, default `'DeltaFunction'`)
`value_is_equal`	Whether the value must equal value_compare to be of this class (`bool`, default `True`)
`vectorKey`	Key to select from data (`str`, default `'ref_injected_isPrimary'`)

Methods Summary

`__call__`(data, **kwargs)	Call self as a function.
`getInputSchema`()	Return the schema an `AnalysisAction` expects to be present in the arguments supplied to the __call__ method.

Attributes Documentation

key_class¶: Key for the field indicating the class of the object (str, default 'ref_source_type')

key_injection_flag¶: Key for the field indicating that the object was not injected (per band) (str, default 'ref_{band}_injection_flag')

plotLabelKey¶: Key to use when populating plot info, ignored if empty string (str, default '')

value_compare¶: Value of the type_key field for objects that are stars (str, default 'DeltaFunction')

value_is_equal¶: Whether the value must equal value_compare to be of this class (bool, default True)

vectorKey¶: Key to select from data (str, default 'ref_injected_isPrimary')

Methods Documentation

__call__(data: MutableMapping[str, ndarray[tuple[Any, ...], dtype[_ScalarT]] | Scalar | HealSparseMap | Tensor | Mapping], **kwargs) → ndarray[tuple[Any, ...], dtype[_ScalarT]]¶: Call self as a function.

getInputSchema() → Iterable[tuple[str, type[numpy.ndarray[tuple[Any, ...], numpy.dtype[_ScalarT]]] | type[lsst.analysis.tools.interfaces._interfaces.Scalar] | type[healsparse.healSparseMap.HealSparseMap] | type[lsst.analysis.tools.interfaces._interfaces.Tensor] | type[Mapping]]]¶

Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Returns:

resultKeyedDataSchema: The schema this action requires to be present when calling this action, keys are unformatted.