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'))
