clean up state and transition stuff

git-svn-id: svn://svn.cy55.de/Zope3/src/cybertools/trunk@1259 fd906abe-77d9-0310-91a1-e0d9ade77398
This commit is contained in:
helmutm 2006-07-09 14:30:56 +00:00
parent 4670c98d1c
commit c0880a046e
5 changed files with 43 additions and 51 deletions

View file

@ -18,12 +18,17 @@ when creating a synapsis:
[]
>>> n01.receivers == [s0102]
True
>>> n01.state.level
>>> n01.state.value
1.0
>>> n02.state.level
>>> n02.state.value
1.0
When we trigger a neuron, all its receivers get triggered so that the
receivers' state is updated:
>>> n01.trigger()
>>> n02.state.level
>>> n01.state.value
1.0
>>> n02.state.value
2.0

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@ -32,8 +32,7 @@ class ISynapsis(Interface):
sender = Attribute("The sender neuron for this synapsis")
reciever = Attribute("The receiver neuron for this synapsis")
transformation = Attribute("A transformation is used to transform "
"the sender neuron's state.")
transition = Attribute("A transition changes the sender neuron's state.")
class INeuron(Interface):
@ -43,13 +42,10 @@ class INeuron(Interface):
senders = Attribute("The sender synapses")
receivers = Attribute("The receiver synapses")
stateMerger = Attribute("Merges a state with a list of other states "
"in order to create a new state.")
def trigger():
""" Notifies the neuron that something has happened. This method
should get the transformed states from all sender synapses
and merge them in order to calculate the neuron's new state;
executes all transitions from all sender synapses in order to
calculate the neuron's new state;
then it should call the trigger() method on all downstream
(receiver)neurons.
In addition it may perform side effects like changing
@ -64,16 +60,9 @@ class IState(Interface):
"""
class IStateTransformation(Interface):
class ITransition(Interface):
def transform(state):
def execute(state):
""" Transform state to a new state value and return it.
"""
class IStateMerger(Interface):
def merge(state, senderStates):
""" Transform state to a new value by taking into account a list
of sender neurons' states. This modifies state in-place.
"""

View file

@ -24,46 +24,47 @@ $Id: type.py 1129 2006-03-19 09:46:08Z helmutm $
from zope.interface import implements
from cybertools.brain.interfaces import INeuron, ISynapsis
from cybertools.brain.state import State, StateMerger, StateTransformation
from cybertools.brain.state import State, Transition
class Synapsis(object):
""" A synapsis connects two neurons.
"""
implements(ISynapsis)
sender = None
reciever = None
transformation = None
transition = None
def __init__(self, sender, receiver):
self.sender = sender
sender.receivers.append(self)
self.receiver = receiver
receiver.senders.append(self)
self.transformation = StateTransformation(self)
def transformSenderState(self):
return self.transformation.transform(self.sender.state)
self.transition = Transition(self)
class Neuron(object):
implements(INeuron)
state = None
stateMerger = None
def __init__(self):
self.senders = []
self.receivers = []
self.state = State()
self.stateMerger = StateMerger(self)
self.active = False
def trigger(self):
if self.active: # avoid cycles
return
self.active = True
senderStates = [s.transformSenderState() for s in self.senders]
self.stateMerger.merge(self.state, senderStates)
state = self.state
for s in self.senders:
state = s.transition.execute(state)
self.state = state
for r in self.receivers:
r.receiver.trigger()
self.active = False

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@ -17,38 +17,34 @@
#
"""
Base classes for state and state manipulations.
Base classes for state and state manipulations using a float-based state.
$Id$
"""
from zope.interface import implements
from cybertools.brain.interfaces import IState, IStateMerger, IStateTransformation
from cybertools.brain.interfaces import IState, ITransition
class State(object):
""" The state of a neuron.
"""
def __init__(self, level=1.0):
self.level = level
implements(IState)
def __init__(self, value=1.0):
self.value = value
class StateTransformation(object):
class Transition(object):
implements(ITransition)
def __init__(self, synapsis, factor=1.0):
self.synapsis = synapsis
self.factor = factor
def transform(self, state):
return State(state.level * self.factor)
def execute(self, state):
return State(state.value + self.synapsis.sender.state.value * self.factor)
class StateMerger(object):
def __init__(self, neuron):
self.neuron = neuron
def merge(self, state, senderStates):
state.level += sum(st.level for st in senderStates)

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@ -1,27 +1,28 @@
# $Id$
import unittest
import unittest, doctest
from zope.testing.doctestunit import DocFileSuite
from zope.interface.verify import verifyClass
from zope.interface import implements
from cybertools.brain.interfaces import INeuron, ISynapsis
from cybertools.brain.interfaces import IState, IStateTransformation, IStateMerger
from cybertools.brain.interfaces import IState, ITransition
from cybertools.brain.neuron import Neuron, Synapsis
from cybertools.brain.state import State, StateTransformation, StateMerger
from cybertools.brain.state import State, Transition
class TestBrain(unittest.TestCase):
"Basic tests for the brain package."
def testInterfaces(self):
pass
verifyClass(INeuron, Neuron)
def test_suite():
flags = doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS
return unittest.TestSuite((
unittest.makeSuite(TestBrain),
DocFileSuite('README.txt'),
DocFileSuite('README.txt',
optionflags=flags,),
))
if __name__ == '__main__':