FlagSelector

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

Bases: VectorAction

The base flag selector to use to select valid sources for QA.

Attributes Summary

selectWhenFalse	Names of the flag columns to select on when False (List, default [])
selectWhenTrue	Names of the flag columns to select on when True (List, default [])

Methods Summary

__call__(data, **kwargs)	Select on the given flags
getInputSchema()	Return the schema an AnalysisAction expects to be present in the arguments supplied to the __call__ method.

Attributes Documentation

selectWhenFalse

Names of the flag columns to select on when False (List, default [])

selectWhenTrue

Names of the flag columns to select on when True (List, default [])

Methods Documentation

__call__(data: MutableMapping[str, ndarray[Any, dtype[ScalarType]] | Scalar | HealSparseMap | Tensor], **kwargs) → ndarray[Any, dtype[ScalarType]]

Select on the given flags

Parameters:

dataKeyedData

Returns:

resultVector

A mask of the objects that satisfy the given flag cuts.

Notes

Uses the columns in selectWhenFalse and selectWhenTrue to decide which columns to select on in each circumstance.

getInputSchema() → Tensor]]]

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.