made new_para instead of previous version test_para.py (the .ipy version is older due to python mode not working on the ipy). new_para is much simpler. uses pool instead of queues. each worker just uses its copy of the global env. global env contains a ripl and worker updates the ripl by evaling instructions from a multiripl object that created the worker pool