ButlerFactory creates data Butlers containing data mappers. Use of it
is deprecated in favor of the direct Butler constructor.
The ButlerFactory class takes a mapper for a data collection.
It can then create Butlers with these mappers.
A data identifier is a dictionary. The keys match those understood by a
mapper; the values select particular data sets or collections of data
sets. For example, one key might be "visit". Specifying a value of
"695934" for this key might select a collection of images.
The mappers perform four functions:
1. Determine what keys are valid for dataset ids.
2. Obtain a collection of potential dataset ids matching a
partial dataset id.
3. Map a dataset id to the location of the dataset, including its
C++ and Python types.
4. Manipulate a retrieved dataset object so that it conforms to a
standard.
Public methods:
__init__(self, mapper)
create(self)
Definition at line 31 of file butlerFactory.py.