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from __future__ import division from __future__ import absolute_import
import numpy as np
from libensemble.message_numbers import STOP_TAG, PERSIS_STOP from libensemble.gen_funcs.support import sendrecv_mgr_worker_msg
def persistent_uniform(H,persis_info,gen_specs,libE_info): """ This generation function always enters into persistent mode and returns ``gen_specs['gen_batch_size']`` uniformly sampled points.
:See: ``libensemble/libensemble/tests/regression_tests/test_6-hump_camel_persistent_uniform_sampling.py`` """ ub = gen_specs['ub'] lb = gen_specs['lb'] n = len(lb) b = gen_specs['gen_batch_size'] comm = libE_info['comm']
# Send batches until manager sends stop tag tag = None while tag not in [STOP_TAG, PERSIS_STOP]: O = np.zeros(b, dtype=gen_specs['out']) O['x'] = persis_info['rand_stream'].uniform(lb,ub,(b,n)) tag, Work, calc_in = sendrecv_mgr_worker_msg(comm, O)
return O, persis_info, tag |