def _replayChanges(self):
"""replayChanges """
if len(self.log) == 0:
return
points = self.log[0].points
values = self.log[0].values
for shadow, point_list, value_list in zip(self.shadow_tensors, points,
values):
if shadow.isMutable():
for point, value in zip(point_list, value_list):
if Payload.isEmpty(value):
continue
ref = shadow.getPayloadRef(*point)
ref <<= value
del self.log[0]
#
# Increment cycle
#
if not self.using_spacetimestamp:
self.cycle += 1
# print(f"\na_d:\n{a_d}")
# print(f"\nd_d:\n{d_d})")
# a_less_d = a_d - d_d
# print(f"\na_less_d:\n{a_less_d})")
# assignment1 = d_d << a_less_d
# print(f"\nd_d << (a_d - d_d):\n{assignment1}")
# assignment2 = f1_d << assignment1
# print(f"\nf1_d << (d_d << (a_d - d_d)):\n{assignment2}")
for d, (f1_ref, (d_ref, _)) in f1_d << (d_d << a_d):
print(f" Processing destination {d} = {d_ref}")
if Payload.isEmpty(d_ref):
print(f"Adding destination {d}")
f1_ref += 1
d_ref += level
level += 1
f0 = f1
f0_d = f0.getRoot()
d_d.print("\nDistance Tensor")
print("")
print("--------------------------------------")
print("")
