def update_from_select_nm(self):
phase_space = self.phase_space
creator = self.Creator
selector = self.Selector
version = self.version
phase_space.time = phase_space.time + 1
list_particles = [
phase_space.node2particles(node) for node in phase_space.objects
]
print("particles: ", list_particles)
node_max = node_max_particles(phase_space)
p_m = Funct.node2num_particles(node_max)
node_c = phase_space.key2node(phase_space.DNA_graph.center)
p_c = Funct.node2num_particles(node_c)
print(f'The value of p_m is : {p_m} and pc is : {p_c} ')
if (p_m > p_c * 2):
phase_space.time = 0
num_particles = phase_space.num_particles
old_graph = phase_space.DNA_graph
old_center = old_graph.center
condition = old_graph.condition
typos = old_graph.typos
#node_max = phase_space.node_max_particles
node_max = node_max_particles(phase_space)
print("node_max particles:", Funct.node2num_particles(node_max))
center = phase_space.node2key(node_max)
status = phase_space.status
Alai = status.Alai
stream = phase_space.stream
delta = stream.key2len_hist(center)
Alai.update(delta)
stream.signals_off()
stream.key2signal_on(center)
stream.clear()
selector.update(center)
actions = selector.get_predicted_actions()
x = old_graph.x_dim
y = old_graph.y_dim
space = DNA_Graph(center,
1, (x, y),
condition,
actions,
version,
creator,
selector=selector,
num_morphisms=5)
phase_space.DNA_graph = space
phase_space.objects = space.objects
phase_space.support = []
phase_space.create_particles(num_particles + 1)
phase_space.attach_balls()
phase_space.max_changed = False
phase_space.node_max_particles = None
self.space = space
self.phase_space = phase_space
self.objects = phase_space.objects
self.support = phase_space.support
self.Graph = phase_space.DNA_graph
def update_from_select_Alai(self):
phase_space = self.phase_space
creator = self.Creator
selector = self.Selector
version = self.version
phase_space.time = phase_space.time + 1
node_max = node_max_particles(phase_space)
node_c = phase_space.key2node(phase_space.DNA_graph.center)
p_c = Funct.node2num_particles(node_c)
p_m = Funct.node2num_particles(node_max)
print(f'The value of p_m is : {p_m} and p_c is : {p_c} ')
if (p_m > p_c * 2) or (phase_space.time > 4000):
phase_space.time = 0
num_particles = phase_space.num_particles
old_graph = phase_space.DNA_graph
old_center = old_graph.center
condition = old_graph.condition
typos = old_graph.typos
node_max = phase_space.node_max_particles
center = phase_space.node2key(node_max)
selector.update(old_graph, new_center=center)
actions = selector.get_predicted_actions()
x = old_graph.x_dim
y = old_graph.y_dim
space = DNA_Graph(center, 1, (x, y), condition, actions, version,
creator)
phase_space.DNA_graph = space
phase_space.objects = space.objects
phase_space.support = []
phase_space.create_particles(num_particles + 1)
phase_space.stream.signals_off()
phase_space.attach_balls()
phase_space.max_changed = False
phase_space.node_max_particles = None
self.space = space
self.phase_space = phase_space
self.objects = phase_space.objects
self.support = phase_space.support
self.Graph = phase_space.DNA_graph
elif False:
#elif phase_space.time>self.clear_period:
phase_space.time = 0
node2remove = phase_space2node2remove(phase_space)
node_c = phase_space.key2node(phase_space.DNA_graph.center)
if node2remove and not (node2remove == node_c):
remove_node(phase_space, node2remove)
new_DNA = add_node(phase_space, selector)
def node2obs(self, space, node):
creator = self.observation_creator
weight = Funct.node2num_particles(node)
path = list(Funct.node2direction(node))
path[0] = path[0] - self.center
num_conv_layers = len(
[0 for layer in space.node2key(node) if layer[0] == 0])
return creator(num_layer=num_conv_layers, path=path, weight=weight)
def update_from_select_stochastic(self):
phase_space = self.phase_space
creator = self.Creator
selector = self.Selector
version = self.version
phase_space.time = phase_space.time + 1
p = randint(0, 300)
if phase_space.node_max_particles:
node_max = phase_space.node_max_particles
node_c = phase_space.key2node(phase_space.DNA_graph.center)
p_c = Funct.node2num_particles(node_c)
p_m = Funct.node2num_particles(node_max)
if (phase_space.max_changed
and p_m * 0.9 > p_c) or (phase_space.time > 4000):
phase_space.time = 0
num_particles = phase_space.num_particles
old_graph = phase_space.DNA_graph
old_center = old_graph.center
condition = old_graph.condition
typos = old_graph.typos
node_max = phase_space.node_max_particles
center = phase_space.node2key(node_max)
selector.update(old_graph, new_center=center)
actions = selector.get_predicted_actions()
x = old_graph.x_dim
y = old_graph.y_dim
space = DNA_Graph(center, 1, (x, y), condition, actions, version,
creator)
phase_space.DNA_graph = space
phase_space.objects = space.objects
phase_space.support = []
phase_space.create_particles(num_particles + 1)
phase_space.stream.signals_off()
phase_space.attach_balls()
phase_space.max_changed = False
phase_space.node_max_particles = None
self.space = space
self.phase_space = phase_space
self.objects = phase_space.objects
self.support = phase_space.support
self.Graph = phase_space.DNA_graph
def register_observations(self, space, new_center=None):
creator = self.observation_creator
if type(space) is tuple:
num_conv_layers = len([0 for layer in space if layer[0] == 0])
self.current_num_layer = num_conv_layers
if new_center:
self.center_key = new_center
else:
self.center_key = space
else:
if new_center:
self.center_key = new_center
else:
self.center_key = space.center
center = space.center
self.current_num_layer = len(
[0 for layer in new_center if layer[0] == 0])
node_c = space.key2node(center)
self.observations = (self.observations + [
self.node2obs(space, node)
for node in node_c.kids if Funct.node2num_particles(node) > 0
])