def saveSnapShot(saveSnapshotTime): if saveSnapshotTime is not None: print("Snapshot missing! Regenenerating over %d periods" % int(saveSnapshotTime)) # typName ='gcal_continuous_%d.typ' % int(saveSnapshotTime) fullTypPath = typPath+ loadSnapshot#typName scheduleInfo(saveSnapshotTime, 10) topo.sim.run(int(saveSnapshotTime)) save_snapshot(os.path.abspath(fullTypPath)) print "Snapshot generated. Rerun script." sys.exit()
def compare_with_and_without_snapshot_CreateSnapshot(script="examples/lissom.ty"): data_filename=os.path.split(script)[1]+"_PICKLETEST" locn = resolve_path(os.path.join('tests',data_filename)) print "Loading pickle at %s"%locn try: data = pickle.load(open(locn,"rb")) except IOError: print "\nData file '"+data_filename+"' could not be opened; run _A() first." raise # retrieve parameters used when script was run run_for=data['run_for'] break_at=data['break_at'] look_at=data['look_at'] # CEBALERT: shouldn't need to re-list - should be able to read from data! cortex_density=data['cortex_density'] lgn_density=data['lgn_density'] retina_density=data['retina_density'] dims=data['dims'] dataset=data['dataset'] __main__.__dict__['cortex_density']=cortex_density __main__.__dict__['lgn_density']=lgn_density __main__.__dict__['retina_density']=retina_density __main__.__dict__['dims']=dims __main__.__dict__['dataset']=dataset execfile(script,__main__.__dict__) # check we have the same before any pickling topo.sim.run(break_at) assert_array_equal(data[topo.sim.time()],topo.sim[look_at].activity, err_msg="\nAt topo.sim.time()=%d"%topo.sim.time()) from topo.command.basic import save_snapshot locn = normalize_path(os.path.join('tests',data_filename+'.typ_')) print "Saving snapshot to %s"%locn save_snapshot(locn)
def saver_function(): from topo.command.basic import save_snapshot save_snapshot(normalize_path('snapshot.typ'))