archive = dir_archive(ar_name, serialized=True, cached=False)
else: archive = None
searcher = Searcher(npts, retry, tol, mem, _map, archive, sprayer, seeker)
searcher.Verbose(disp)
searcher.UseTrajectories(traj)
searcher.Reset(archive, inv=False)
searcher.Search(model, bounds, stop=stop, monitor=stepmon)
searcher._summarize()
##### extract results #####
xyz = searcher.Samples()
##### invert the model, and get the maxima #####
imodel = lambda *args, **kwds: -model(*args, **kwds)
#CUTE: 'configure' monitor and archive if they are desired
if stepmon not in (None, False):
itermon = LoggingMonitor(1, filename='inv.txt') #XXX: log.txt?
else: itermon = None
if archive not in (None, False): #python2.5
ar_name = '__%s_%sD_invcache__' % (model.__self__.__class__.__name__,ndim)
archive = dir_archive(ar_name, serialized=True, cached=False)
else: archive = None
searcher.Reset(archive, inv=True)
searcher.Search(imodel, bounds, stop=stop, monitor=itermon)
searcher._summarize()
##### extract results #####
archive,
sprayer,
seeker,
repeat=repeat)
searcher.Verbose(disp)
searcher.UseTrajectories(traj)
searcher.Reset(archive, inv=False)
searcher.Search(model, bounds, stop=stop, monitor=stepmon)
searcher._summarize()
##### extract results #####
xyz = searcher.Samples()
##### invert the model, and get the maxima #####
imodel = lambda *args, **kwds: -model(*args, **kwds)
#CUTE: 'configure' monitor and archive if they are desired
if stepmon not in (None, False):
itermon = LoggingMonitor(1, filename='inv.txt') #XXX: log.txt?
else:
itermon = None
if archive not in (None, False): #python2.5
name = getattr(model, '__name__', 'model')
ar_name = '__%s_%sD_invcache__' % (name, ndim)
archive = dir_archive(ar_name, serialized=True, cached=False)
else:
archive = None
searcher.Reset(archive, inv=True)
searcher.Search(imodel, bounds, stop=stop, monitor=itermon)