added basic transaction management
git-svn-id: svn://svn.cy55.de/Zope3/src/cybertools/trunk@1260 fd906abe-77d9-0310-91a1-e0d9ade77398
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5 changed files with 137 additions and 42 deletions
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@ -18,17 +18,29 @@ when creating a synapsis:
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[]
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[]
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>>> n01.receivers == [s0102]
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>>> n01.receivers == [s0102]
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True
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True
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>>> n01.state.value
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>>> n01.getState()
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1.0
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<State 0.0>
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>>> n02.state.value
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>>> n02.getState()
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1.0
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<State 0.0>
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When we trigger a neuron, all its receivers get triggered so that the
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When we change the state of a neuron and notify it, all its receiver synapses
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receivers' state is updated:
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get triggered so that the receiver neurons' states are updated:
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>>> n01.trigger()
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>>> from cybertools.brain.state import State
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>>> n01.state.value
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>>> n01.setState(State(1.0))
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1.0
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>>> n01.getState()
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>>> n02.state.value
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<State 1.0>
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2.0
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>>> n01.notify()
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>>> n02.getState()
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<State 1.0>
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To allow for concurrent (thread-safe) access to the brain all changes to
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the neurons' states is under the control of a transaction. If we end the
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current transaction all state changes will be forgotton:
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>>> from cybertools.brain.transaction import endTransaction
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>>> endTransaction()
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>>> n01.getState()
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<State 0.0>
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>>> n02.getState()
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<State 0.0>
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@ -34,24 +34,32 @@ class ISynapsis(Interface):
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transition = Attribute("A transition changes the sender neuron's state.")
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transition = Attribute("A transition changes the sender neuron's state.")
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def trigger(transaction=None):
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""" Recalculate the receiver neuron's state by executing the
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synapse's transition using the state of the sender neuron.
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"""
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class INeuron(Interface):
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class INeuron(Interface):
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state = Attribute("The current state of the neuron")
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senders = Attribute("The sender synapses")
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senders = Attribute("The sender synapses")
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receivers = Attribute("The receiver synapses")
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receivers = Attribute("The receiver synapses")
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def trigger():
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def setState(state, transaction=None):
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""" Set the neuron's state.
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"""
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def getState(transaction=None):
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""" Return the neuron's state.
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"""
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def notify(transaction=None):
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""" Notifies the neuron that something has happened. This method
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""" Notifies the neuron that something has happened. This method
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executes all transitions from all sender synapses in order to
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calls the trigger() method on all downstream (receiver) synapses.
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calculate the neuron's new state;
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then it should call the trigger() method on all downstream
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(receiver)neurons.
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In addition it may perform side effects like changing
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In addition it may perform side effects like changing
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transition properties of adjacent synapses or even create new
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transition properties of adjacent synapses or even create new
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synapses or neurons; this side effects should happen before
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synapses or neurons; this side effects should happen before
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triggering the receiver neurons.
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triggering the receiver synapses.
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"""
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"""
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@ -62,7 +70,12 @@ class IState(Interface):
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class ITransition(Interface):
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class ITransition(Interface):
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def execute(state):
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def execute(transaction=None):
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""" Transform state to a new state value and return it.
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""" Transform the receiver's state to a new state value and return it.
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"""
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"""
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class ITransaction(Interface):
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""" A transaction that keeps track of the neurons' states.
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"""
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@ -19,12 +19,13 @@
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"""
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"""
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A simple basic implementation of Neuron and Synapsis.
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A simple basic implementation of Neuron and Synapsis.
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$Id: type.py 1129 2006-03-19 09:46:08Z helmutm $
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$Id$
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"""
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"""
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from zope.interface import implements
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from zope.interface import implements
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from cybertools.brain.interfaces import INeuron, ISynapsis
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from cybertools.brain.interfaces import INeuron, ISynapsis
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from cybertools.brain.state import State, Transition
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from cybertools.brain.state import State, Transition
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from cybertools.brain.transaction import getTransaction
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class Synapsis(object):
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class Synapsis(object):
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@ -33,10 +34,6 @@ class Synapsis(object):
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implements(ISynapsis)
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implements(ISynapsis)
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sender = None
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reciever = None
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transition = None
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def __init__(self, sender, receiver):
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def __init__(self, sender, receiver):
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self.sender = sender
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self.sender = sender
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sender.receivers.append(self)
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sender.receivers.append(self)
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@ -44,28 +41,33 @@ class Synapsis(object):
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receiver.senders.append(self)
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receiver.senders.append(self)
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self.transition = Transition(self)
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self.transition = Transition(self)
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def trigger(self, transaction=None):
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receiver = self.receiver
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receiver.setState(self.transition.execute(transaction), transaction)
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receiver.notify(transaction)
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class Neuron(object):
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class Neuron(object):
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implements(INeuron)
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implements(INeuron)
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state = None
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def __init__(self):
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def __init__(self):
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self.senders = []
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self.senders = []
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self.receivers = []
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self.receivers = []
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self.state = State()
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self.state = State()
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self.active = False
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def trigger(self):
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def setState(self, state, transaction=None):
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if self.active: # avoid cycles
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transaction = getTransaction(transaction)
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return
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transaction.setState(self, state)
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self.active = True
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state = self.state
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def getState(self, transaction=None):
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for s in self.senders:
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if transaction is None:
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state = s.transition.execute(state)
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transaction = getTransaction(create=False)
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self.state = state
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if transaction is None:
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return self.state
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return transaction.getState(self)
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def notify(self, transaction=None):
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for r in self.receivers:
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for r in self.receivers:
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r.receiver.trigger()
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r.trigger(transaction)
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self.active = False
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@ -32,9 +32,12 @@ class State(object):
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implements(IState)
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implements(IState)
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def __init__(self, value=1.0):
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def __init__(self, value=0.0):
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self.value = value
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self.value = value
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def __repr__(self):
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return '<State %0.1f>' % self.value
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class Transition(object):
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class Transition(object):
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@ -44,7 +47,9 @@ class Transition(object):
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self.synapsis = synapsis
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self.synapsis = synapsis
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self.factor = factor
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self.factor = factor
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def execute(self, state):
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def execute(self, transaction=None):
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return State(state.value + self.synapsis.sender.state.value * self.factor)
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oldState = self.synapsis.receiver.getState(transaction)
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senderState = self.synapsis.sender.getState(transaction)
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return State(oldState.value + senderState.value * self.factor)
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63
brain/transaction.py
Normal file
63
brain/transaction.py
Normal file
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@ -0,0 +1,63 @@
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#
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# Copyright (c) 2006 Helmut Merz helmutm@cy55.de
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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"""
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Transaction management.
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$Id$
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"""
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from zope.interface import implements
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from cybertools.brain.interfaces import ITransaction
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class Transaction(object):
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implements(ITransaction)
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def __init__(self):
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self.states = {}
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def setState(self, neuron, state):
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self.states[neuron] = state
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def getState(self, neuron):
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return self.states.get(neuron, neuron.state)
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transactions = []
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def getTransaction(transaction=None, create=True):
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if transaction is None:
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if transactions:
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transaction = transactions[0]
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elif create:
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transaction = Transaction()
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transactions.append(transaction)
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else:
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return None
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return transaction
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def endTransaction(transaction=None):
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if transaction is None:
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if transactions:
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del transactions[0]
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else:
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if transaction in transactions:
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del transactions[transactions.index(transaction)]
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