def new_experiment_sequence(new_grid, union_find, show_progress):
resulting_representations = []
connections = RandomConnectionBag(len(new_grid), union_find)
iterations = 0
max_num_of_random_connections = len(new_grid)*3
period = 10
delay = False
effective_iterations = 0
while iterations < max_num_of_random_connections:
x,y = connections.get_next_spiraled()
if union_find.count == 1:
break
if effective_iterations%period == 0 and show_progress and not delay:
next_representation = new_grid.State_info(new_grid, union_find)
resulting_representations.append(next_representation.get_represantation())
# print next_representation
# print union_find
# print 'iterations consumed:', iterations
# print 'connections left', len(connections)
if union_find.connected(x,y):
delay = False
else:
delay = False
effective_iterations +=1
union_find.union(x, y)
# delay = False
iterations += 1
print union_find
last_representation = new_grid.State_info(new_grid, union_find)
resulting_representations.append(next_representation.get_represantation(True))
print 'iterations consumed:', iterations
print len(resulting_representations)
return resulting_representations
def new_experiment(new_grid, union_find, show_progress):
connections = RandomConnectionBag(len(new_grid), union_find)
iterations = 0
max_num_of_random_connections = len(new_grid)
period = new_grid.size() * 10
start = datetime.now()
while iterations < max_num_of_random_connections:
x, y = connections.get_next_spiraled()
if union_find.count == 1:
break
if iterations % period == 0 and show_progress:
print union_find
print 'iterations consumed:', iterations
print 'connections left', len(connections)
union_find.union(x, y)
# delay = False
iterations += 1
end = datetime.now()
print 'iterations consumed:', iterations
print union_find
return iterations, (end - start).total_seconds()
def new_experiment(new_grid, union_find, show_progress):
connections = RandomConnectionBag(len(new_grid), union_find)
iterations = 0
max_num_of_random_connections = len(new_grid)
period = new_grid.size()*10
start = datetime.now()
while iterations < max_num_of_random_connections:
x,y = connections.get_next_spiraled()
if union_find.count == 1:
break
if iterations%period == 0 and show_progress:
print union_find
print 'iterations consumed:', iterations
print 'connections left', len(connections)
union_find.union(x, y)
# delay = False
iterations += 1
end = datetime.now()
print 'iterations consumed:', iterations
print union_find
return iterations, (end -start).total_seconds()
def new_experiment_sequence(new_grid, union_find, show_progress):
resulting_representations = []
connections = RandomConnectionBag(len(new_grid), union_find)
iterations = 0
max_num_of_random_connections = len(new_grid) * 3
period = 10
delay = False
effective_iterations = 0
while iterations < max_num_of_random_connections:
x, y = connections.get_next_spiraled()
if union_find.count == 1:
break
if effective_iterations % period == 0 and show_progress and not delay:
next_representation = new_grid.State_info(new_grid, union_find)
resulting_representations.append(
next_representation.get_represantation())
# print next_representation
# print union_find
# print 'iterations consumed:', iterations
# print 'connections left', len(connections)
if union_find.connected(x, y):
delay = False
else:
delay = False
effective_iterations += 1
union_find.union(x, y)
# delay = False
iterations += 1
print union_find
last_representation = new_grid.State_info(new_grid, union_find)
resulting_representations.append(
next_representation.get_represantation(True))
print 'iterations consumed:', iterations
print len(resulting_representations)
return resulting_representations
