def run(text, nodes, repeat, steps):
"""
Runs the simulation and collects the nodes into a collector,
a convenience class that can average the values that it collects.
"""
coll = util.Collector()
for i in xrange(repeat):
engine = Model(mode='async', text=text)
engine.RULE_GETVALUE = new_getvalue
# minimalist initial conditions, missing nodes set to false
engine.initialize(missing=util.false)
engine.iterate(steps=steps)
coll.collect(states=engine.states, nodes=nodes)
print '- completed'
avgs = coll.get_averages(normalize=True)
return avgs
def run( text, nodes, repeat, steps ):
"""
Runs the simulation and collects the nodes into a collector,
a convenience class that can average the values that it collects.
"""
coll = util.Collector()
for i in xrange( repeat ):
engine = Model( mode='async', text=text )
engine.RULE_GETVALUE = new_getvalue
# minimalist initial conditions, missing nodes set to false
engine.initialize( missing=util.false )
engine.iterate( steps=steps)
coll.collect( states=engine.states, nodes=nodes )
print '- completed'
avgs = coll.get_averages( normalize=True )
return avgs
# pick at random from True, False and original value
value = random.choice([True, False, value])
return util.default_set_value(state, name, value, p)
def new_getvalue(state, name, p):
"""
Called every time a node value is used in an expression.
It will override the value for the current step only.
"""
value = util.default_get_value(state, name, p)
if name == 'B':
# pick at random from True, False and original value
return random.choice([True, False, value])
else:
return value
model = Model(mode='sync', text='demo-rules.txt')
# assign the new rules to the engine
model.RULE_SETVALUE = new_setvalue
model.RULE_GETVALUE = new_getvalue
model.initialize()
model.iterate(steps=5)
for state in model.states:
print state
"""
if name == 'A':
# pick at random from True, False and original value
value = random.choice( [True, False, value] )
return util.default_set_value( state, name, value, p )
def new_getvalue( state, name, p):
"""
Called every time a node value is used in an expression.
It will override the value for the current step only.
"""
value = util.default_get_value( state, name, p )
if name == 'B':
# pick at random from True, False and original value
return random.choice( [True, False, value] )
else:
return value
model = Model( mode='sync', text='demo-rules.txt' )
# assign the new rules to the engine
model.RULE_SETVALUE = new_setvalue
model.RULE_GETVALUE = new_getvalue
model.initialize()
model.iterate( steps=5 )
for state in model.states:
print(state)
