LSSTApplications
19.0.0-14-gb0260a2+d60062ef16,20.0.0+1540ce6389,20.0.0+7c6b12c2f9,20.0.0+ae956f52c5,20.0.0+be870186d9,20.0.0+e2e26847c2,20.0.0-1-g10df615+7683e4f082,20.0.0-1-g253301a+7c6b12c2f9,20.0.0-1-g2b7511a+46a6078777,20.0.0-1-g3dda6ea+606b36f8c0,20.0.0-1-g4d801e7+901ee84527,20.0.0-1-g5b95a8c+a5fa15ec54,20.0.0-1-gb058bd0+46a6078777,20.0.0-1-gb88604f+acecce4127,20.0.0-1-gc96f8cb+61a4a056b1,20.0.0-1-gedffbd8+4f0e391d5e,20.0.0-10-g0891cd99+aadc987f3e,20.0.0-10-g9a20bd332+576ca7b471,20.0.0-17-gcdbda88+ed0d4927ab,20.0.0-2-g4dae9ad+61a4a056b1,20.0.0-2-g61b8584+85c46248f3,20.0.0-2-gb780d76+f45b7d88f4,20.0.0-2-gf072044+7c6b12c2f9,20.0.0-21-g9bbb7f7+61a4a056b1,20.0.0-22-gc512666+9eba1c4719,20.0.0-23-g8900aa8+68630f7098,20.0.0-3-g1653f94+85c46248f3,20.0.0-3-g4cc78c6+63636aeed8,20.0.0-3-g750bffe+e05f822de9,20.0.0-3-gbd60e8c+ff10c6d78d,20.0.0-32-g15a0e07c+ff1c9f120b,20.0.0-4-g97dc21a+68630f7098,20.0.0-4-gfea843c+f45b7d88f4,20.0.0-5-g357b56b+f45b7d88f4,20.0.0-6-g9a5b7a1+2c4171520d,20.0.0-61-g4de25fb+e4dd172200,20.0.0-7-gcda7bf1+85e953d7e4,w.2020.43
LSSTDataManagementBasePackage
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Public Member Functions | |
def | __init__ (self, *registry, inputCollection, outputCollection, lastRunOnly=True, **kwargs) |
def | run (self, datasetTypeName, timespan) |
Public Attributes | |
registry | |
inputCollection | |
outputCollection | |
Static Public Attributes | |
ConfigClass = pexConfig.Config | |
Create a way to bless existing calibration products. The inputs are assumed to have been constructed via cp_pipe, and already exist in the butler. Parameters ---------- registry : `lsst.daf.butler.Registry` Registry pointing at the butler repository to operate on. inputCollection : `str` Data collection to pull calibrations from. Usually an existing `~CollectionType.RUN` or `~CollectionType.CHAINED` collection, and may _not_ be a `~CollectionType.CALIBRATION` collection or a nonexistent collection. outputCollection : `str` Data collection to store final calibrations. If it already exists, it must be a `~CollectionType.CALIBRATION` collection. If not, a new `~CollectionType.CALIBRATION` collection with this name will be registered. lastRunOnly : `bool`, optional If `True` (default) and ``inputCollection`` is a `~CollectionType.CHAINED` collection, only search its first child collection (which usually corresponds to the last processing run), instead of all child collections in the chain. This behavior ensures that datasets in a collection used as input to that processing run are never included in the certification. **kwargs : Additional arguments forwarded to `lsst.pipe.base.Task.__init__`.
Definition at line 27 of file cpCertify.py.
def lsst.cp.pipe.cpCertify.CertifyCalibration.__init__ | ( | self, | |
* | registry, | ||
inputCollection, | |||
outputCollection, | |||
lastRunOnly = True , |
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** | kwargs | ||
) |
Definition at line 60 of file cpCertify.py.
def lsst.cp.pipe.cpCertify.CertifyCalibration.run | ( | self, | |
datasetTypeName, | |||
timespan | |||
) |
Certify all of the datasets of the given type in the input collection. Parameters ---------- datasetTypeName : `str` Name of the dataset type to certify. timespan : `lsst.daf.butler.Timespan` Timespan for the validity range.
Definition at line 72 of file cpCertify.py.
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static |
Definition at line 58 of file cpCertify.py.
lsst.cp.pipe.cpCertify.CertifyCalibration.inputCollection |
Definition at line 69 of file cpCertify.py.
lsst.cp.pipe.cpCertify.CertifyCalibration.outputCollection |
Definition at line 70 of file cpCertify.py.
lsst.cp.pipe.cpCertify.CertifyCalibration.registry |
Definition at line 62 of file cpCertify.py.