MegacamMapper¶

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

Bases: lsst.obs.base.CameraMapper

Camera Mapper for CFHT MegaCam.

Attributes Summary

packageName

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)
`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'¶

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)¶

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.

Navigation

MegacamMapper¶