MegacamMapper

class lsst.obs.cfht.MegacamMapper(**kwargs)

Bases: lsst.obs.base.CameraMapper

Camera Mapper for CFHT MegaCam.

Attributes Summary

packageName
translatorClass

Methods Summary

Mapper(cfg) Instantiate a Mapper from a configuration.
backup(datasetType, dataId) Rename any existing object with the given type and dataId.
bypass_CoaddExposureId(datasetType, …)
bypass_CoaddExposureId_bits(datasetType, …)
bypass_camera(datasetType, pythonType, …) Return the (preloaded) camera object.
bypass_ccdExposureId(datasetType, …) Hook to retrieve identifier for CCD
bypass_ccdExposureId_bits(datasetType, …) Hook to retrieve number of bits in identifier for CCD
bypass_deepCoaddId(datasetType, pythonType, …)
bypass_deepCoaddId_bits(datasetType, …)
bypass_deepMergedCoaddId(datasetType, …)
bypass_deepMergedCoaddId_bits(datasetType, …)
bypass_defects(datasetType, pythonType, …) Return a defect based on the butler location returned by map_defects.
bypass_expIdInfo(datasetType, pythonType, …) Hook to retrieve an lsst.obs.base.ExposureIdInfo for an exposure
canStandardize(datasetType) Return true if this mapper can standardize an object of the given dataset type.
getCameraName() Return the name of the camera that this CameraMapper is for.
getDatasetTypes() Return a list of the mappable dataset types.
getDefaultLevel()
getDefaultSubLevel(level)
getGen3Instrument() Return the gen3 Instrument class equivalent for this gen2 Mapper.
getImageCompressionSettings(datasetType, dataId) Stuff image compression settings into a daf.base.PropertySet
getKeys(datasetType, level) Return a dict of supported keys and their value types for a given dataset type at a given level of the key hierarchy.
getPackageDir() Return the base directory of this package
getPackageName() Return the name of the package containing this CameraMapper.
getRegistry() Get the registry used by this mapper.
getShortCcdName(ccdName) Convert a CCD name to a form useful as a filename
keys() Return supported keys.
map(datasetType, dataId[, write]) Map a data id using the mapping method for its dataset type.
map_camera(dataId[, write]) Map a camera dataset.
map_defects(dataId[, write]) Map defects dataset.
map_expIdInfo(dataId[, write])
map_skypolicy(dataId) Map a sky policy.
queryMetadata(datasetType, format, dataId) Get possible values for keys given a partial data id.
standardize(datasetType, item, dataId) Standardize an object using the standardization method for its data set type, if it exists.
std_bfKernel(item, dataId) Disable standardization for bfKernel
std_bias(image, dataId)
std_dark(image, dataId)
std_flat(image, dataId)
std_fringe(image, dataId)
std_raw(item, dataId) Standardize a raw dataset by converting it to an Exposure instead of an Image
std_skypolicy(item, dataId) Standardize a sky policy by returning the one we use.
validate(dataId) Validate a dataId’s contents.

Attributes Documentation

packageName = 'obs_cfht'
translatorClass = None

Methods Documentation

static Mapper(cfg)

Instantiate a Mapper from a configuration. In come cases the cfg may have already been instantiated into a Mapper, this is allowed and the input var is simply returned.

Parameters:cfg – the cfg for this mapper. It is recommended this be created by calling Mapper.cfg()
Returns:a Mapper instance
backup(datasetType, dataId)

Rename any existing object with the given type and dataId.

The CameraMapper implementation saves objects in a sequence of e.g.:

  • foo.fits
  • foo.fits~1
  • foo.fits~2

All of the backups will be placed in the output repo, however, and will not be removed if they are found elsewhere in the _parent chain. This means that the same file will be stored twice if the previous version was found in an input repo.

bypass_CoaddExposureId(datasetType, pythonType, location, dataId)
bypass_CoaddExposureId_bits(datasetType, pythonType, location, dataId)
bypass_camera(datasetType, pythonType, butlerLocation, dataId)

Return the (preloaded) camera object.

bypass_ccdExposureId(datasetType, pythonType, location, dataId)

Hook to retrieve identifier for CCD

bypass_ccdExposureId_bits(datasetType, pythonType, location, dataId)

Hook to retrieve number of bits in identifier for CCD

bypass_deepCoaddId(datasetType, pythonType, location, dataId)
bypass_deepCoaddId_bits(datasetType, pythonType, location, dataId)
bypass_deepMergedCoaddId(datasetType, pythonType, location, dataId)
bypass_deepMergedCoaddId_bits(datasetType, pythonType, location, dataId)
bypass_defects(datasetType, pythonType, butlerLocation, dataId)

Return a defect based on the butler location returned by map_defects.

Parameters:
butlerLocation : lsst.daf.persistence.ButlerLocation

A ButlerLocation with locationList = path to defects FITS file.

dataId : dict

The usual data ID; “ccd” must be set.

Notes

The name “bypass_XXX” means the butler makes no attempt to convert the ButlerLocation into an object, which is what we want for now, since that conversion is a bit tricky.

bypass_expIdInfo(datasetType, pythonType, location, dataId)

Hook to retrieve an lsst.obs.base.ExposureIdInfo for an exposure

canStandardize(datasetType)

Return true if this mapper can standardize an object of the given dataset type.

classmethod getCameraName()

Return the name of the camera that this CameraMapper is for.

getDatasetTypes()

Return a list of the mappable dataset types.

getDefaultLevel()
getDefaultSubLevel(level)
classmethod getGen3Instrument()

Return the gen3 Instrument class equivalent for this gen2 Mapper.

Returns:
instr : type

A Instrument class.

getImageCompressionSettings(datasetType, dataId)

Stuff image compression settings into a daf.base.PropertySet

This goes into the ButlerLocation’s “additionalData”, which gets passed into the boost::persistence framework.

Parameters:
datasetType : str

Type of dataset for which to get the image compression settings.

dataId : dict

Dataset identifier.

Returns:
additionalData : lsst.daf.base.PropertySet

Image compression settings.

getKeys(datasetType, level)

Return a dict of supported keys and their value types for a given dataset type at a given level of the key hierarchy.

Parameters:
datasetType : str

Dataset type or None for all dataset types.

level : str or None

Level or None for all levels or ‘’ for the default level for the camera.

Returns:
`dict`

Keys are strings usable in a dataset identifier, values are their value types.

classmethod getPackageDir()

Return the base directory of this package

classmethod getPackageName()

Return the name of the package containing this CameraMapper.

getRegistry()

Get the registry used by this mapper.

Returns:
Registry or None

The registry used by this mapper for this mapper’s repository.

static getShortCcdName(ccdName)

Convert a CCD name to a form useful as a filename

The default implementation converts spaces to underscores.

keys()

Return supported keys.

Returns:
iterable

List of keys usable in a dataset identifier

map(datasetType, dataId, write=False)

Map a data id using the mapping method for its dataset type.

Parameters:
datasetType : string

The datasetType to map

dataId : DataId instance

The dataId to use when mapping

write : bool, optional

Indicates if the map is being performed for a read operation (False) or a write operation (True)

Returns:
ButlerLocation or a list of ButlerLocation

The location(s) found for the map operation. If write is True, a list is returned. If write is False a single ButlerLocation is returned.

Raises:
NoResults

If no locaiton was found for this map operation, the derived mapper class may raise a lsst.daf.persistence.NoResults exception. Butler catches this and will look in the next Repository if there is one.

map_camera(dataId, write=False)

Map a camera dataset.

map_defects(dataId, write=False)

Map defects dataset.

Returns:
`lsst.daf.butler.ButlerLocation`

Minimal ButlerLocation containing just the locationList field (just enough information that bypass_defects can use it).

map_expIdInfo(dataId, write=False)
map_skypolicy(dataId)

Map a sky policy.

queryMetadata(datasetType, format, dataId)

Get possible values for keys given a partial data id.

Parameters:
  • datasetType – see documentation about the use of datasetType
  • key – this is used as the ‘level’ parameter
  • format
  • dataId – see documentation about the use of dataId
Returns:

standardize(datasetType, item, dataId)

Standardize an object using the standardization method for its data set type, if it exists.

std_bfKernel(item, dataId)

Disable standardization for bfKernel

bfKernel is a calibration product that is numpy array, unlike other calibration products that are all images; all calibration images are sent through _standardizeExposure due to CalibrationMapping, but we don’t want that to happen to bfKernel

std_bias(image, dataId)
std_dark(image, dataId)
std_flat(image, dataId)
std_fringe(image, dataId)
std_raw(item, dataId)

Standardize a raw dataset by converting it to an Exposure instead of an Image

std_skypolicy(item, dataId)

Standardize a sky policy by returning the one we use.

validate(dataId)

Validate a dataId’s contents.

If the dataId is valid, return it. If an invalid component can be transformed into a valid one, copy the dataId, fix the component, and return the copy. Otherwise, raise an exception.