Generating batches from Python generator objects would allow users to use complex and custom filtering in Python to create a high-performance batch object as a result.
This couples well with the new iterate() method, which reuses Python-side objects. This currently doesn't work without the copy:
from copy import copy
# Python generator object
selected_load_objs = (copy(load) for load in altdss.Load.iterate() if predicate_function(load))
selected_load_batch = altdss.Load.batch(objs=selected_load_objs)
The idea is to allow using the temporary iterator objects directly, since they are lightweight.
Generating batches from Python generator objects would allow users to use complex and custom filtering in Python to create a high-performance batch object as a result.
This couples well with the new
iterate()method, which reuses Python-side objects. This currently doesn't work without the copy:The idea is to allow using the temporary iterator objects directly, since they are lightweight.