def inform(self,state,report):
if self.active is None:return True
dppath = os.path.join(tl.inmem('data'),'mcfgdata')
lfu.user_data_pool_path = dppath
e,zs,ax,al = self.tickets[self.active]
cplan = e.cartographer_plan
pplan = e.postprocess_plan
for x in range(len(report)):
jx,lp = report[x]
ax,lp = lp
if lp is None:
mmap = cplan.metamap
lstr = cplan._print_friendly_pspace_location(ax)
ntraj = cplan.trajectory[ax].trajectory_count
lp = mmap._recover_location(lstr,ntraj)
else:
lp.data = os.path.join(dppath,'mapdata',lp.data_pool_id)
cplan._record_persistent(ax,lp)
self.results[jx] = (ax,lp)
pplan._enact_processes(zs,lp,arcx = ax)
ncnt = self.results.count(None)
perc = (1.0-float(ncnt-1)/al)*100.0
self.update_statbuff(state,'%4s percent complete',str(perc))
cplan._save_metamap()
ncnt = self.results.count(None)
if ncnt == 1:
self.results[-1] = 'DONE'
traj,pspace = cplan.trajectory,cplan.parameter_space
e._output_trajectory_key(traj,pspace)
let = state['lastenqueuetime']
tl.log(5,'duration of simulations',time.time()-let)
tl.log(5,'performing non-0th post processing...')
pstime = time.time()
if pplan.use_plan:pplan._walk_processes()
tl.log(5,'duration of non-0th post processes',time.time()-pstime)
tl.log(5,'saving final data pool...')
dpool = dba.batch_node(rnum = self.rgen.randint(10000,90000))
e._save_data_pool(dpool)
tl.log(5,'saved final data pool')
tl.log(5,'performing mcfg result output...')
e._output()
tl.log(5,'performed mcfg result output')
self.update_statbuff(state,' DONE')
return True
def run_mjob(state,job):
ax,job = job
if job is None:return ax,None
f,args,drseed,dshape,ptargets = job
rgen = random.Random()
rgen.seed(drseed)
dppath = os.path.join(tl.inmem('data'),'mcfgdata')
lfu.user_data_pool_path = dppath
loc_pool = dba.batch_node(
metapool = True,rnum = drseed,
dshape = dshape,targets = ptargets)
tl.log(1,'running pspace location',ax)
for x in range(dshape[0]):
pseed = rgen.randint(0,sys.maxint)
r = f(pseed,*args)
loc_pool._trajectory(r)
loc_pool._stow(v = False)
loc_pool._sanitize()
return ax,loc_pool