def __init__(self,
generator,
n_iter=1000,
step_size=0.1,
offset=0.5,
verbose=False):
DOEGenerator.__init__(self)
self.n_iter = n_iter
self.step_size = step_size
self.offset = offset
if isinstance(generator, list):
generator = ListGenerator(generator)
self.generator = generator
self.verbose = verbose
def _declare_options(self):
"""
Declare options before kwargs are processed in the init method.
"""
self.options.declare('generator', types=(DOEGenerator), default=DOEGenerator(),
desc='The case generator. If default, no cases are generated.')
self.options.declare('run_parallel', types=bool, default=False,
desc='Set to True to execute cases in parallel.')
self.options.declare('procs_per_model', types=int, default=1, lower=1,
desc='Number of processors to give each model under MPI.')
def __init__(self, generator):
DOEGenerator.__init__(self)
if isinstance(generator, list):
generator = ListGenerator(generator)
self.generator = generator