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environment.py
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environment.py
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# external libraries
import random
import math
# local imports
import gi
import config
from config import g
import stats
def compute_edges():
""" actions performed by the environment
Alzeihmer desease:
select randomly a certain percentage of edges.
The weights of the edges will be reduced
of a certain percentage
"""
num_edges_selected = int(math.ceil(gi.num_alive_edges() * config.frac_edges ))
selected=gi.random_edges(num_edges_selected)
damaged = set()
thisdamage=[]
for e in selected: # each of these edges will be assigned a damage
prev_weight = gi.get_weight(e)
gi.mult_weight(e, config.frac_damage)
diff = prev_weight - e.weight
e.damage = diff # if the edge is too light, destroy it
thisdamage.append((e.source, e.target, e.damage))
if gi.get_weight(e) < 1.0: #del e # FIXME!! careful!!!
pass
damaged.add(e)
return damaged
def affected_nodes(damaged):
waking_nodes = set()
for e in damaged:
waking_nodes.add(e.source)
waking_nodes.add(e.target)
if None in waking_nodes:
waking_nodes.remove(None)
return waking_nodes
def budgetize(damaged):
"""
generates budgets for the nodes involved in the damaged edges.
As some weight is removed, a part of this weight is given as a budget to the involved nodes.
This weight can then be applied to strengtehn other nodes' edges. (this is done by the 'behaviour' func)
the overall idea: some of the weight is lost, some is 'shifted' to other edges
"""
for e in damaged: # reset previous budgets. each cycle is a new story!
e.source.budget = 0
e.target.budget = 0
for e in damaged: # a fraction of the edge's removed-weight becomes edges budget
budget = e.damage * config.factor_reuse
e.source.budget += budget
e.target.budget += budget
# TODO initialize custom fields
def kill_edges(damaged):
for e in gi.alive_edges():
if e.weight < config.treshold_kill: #del e # FIXME!! careful!!!
gi.kill_edge(e)
stats.collector.num_kills += 1
def step():
damaged = compute_edges()
nodes = affected_nodes(damaged)
budgetize(damaged)
kill_edges(damaged)
return nodes