def __str__(self):
sortedByName = lambda itr: sorted(itr, key=lambda i: i.name)
params = {
"name": self.name,
"modules": self.modulesSorted,
"connections": sortedByName(combineLists([sortedByName(self.connections[m]) for m in self.modulesSorted])),
}
s = ("%(name)s\n" + " Modules:\n %(modules)s\n" + " Connections:\n %(connections)s\n") % params
return s
def __str__(self):
sortedByName = lambda itr: sorted(itr, key=lambda i: i.name)
params = {
'name': self.name,
'modules': self.modulesSorted,
'connections':
sortedByName(combineLists(
[sortedByName(self.connections[m]) for m in self.modulesSorted])),
}
s = ("%(name)s\n" +
" Modules:\n %(modules)s\n" +
" Connections:\n %(connections)s\n") % params
return s
def convertNormalNetwork(n):
""" convert a normal network into a decomposable one """
if isinstance(n, RecurrentNetwork):
res = RecurrentDecomposableNetwork()
for c in n.recurrentConns:
res.addRecurrentConnection(c)
else:
res = FeedForwardDecomposableNetwork()
for m in n.inmodules:
res.addInputModule(m)
for m in n.outmodules:
res.addOutputModule(m)
for m in n.modules:
res.addModule(m)
for c in combineLists(n.connections.values()):
res.addConnection(c)
res.name = n.name
res.sortModules()
return res
def convertNormalNetwork(n):
""" convert a normal network into a decomposable one """
if isinstance(n, RecurrentNetwork):
res = RecurrentDecomposableNetwork()
for c in n.recurrentConns:
res.addRecurrentConnection(c)
else:
res = FeedForwardDecomposableNetwork()
for m in n.inmodules:
res.addInputModule(m)
for m in n.outmodules:
res.addOutputModule(m)
for m in n.modules:
res.addModule(m)
for c in combineLists(n.connections.values()):
res.addConnection(c)
res.name = n.name
res.sortModules()
return res
def _topologicalSort(self):
"""Update the network structure and make .modulesSorted a topologically
sorted list of the modules."""
# Algorithm: R. E. Tarjan (1972), stolen from:
# http://www.bitformation.com/art/python_toposort.html
# Create a directed graph, including a counter of incoming connections.
graph = {}
for node in self.modules:
if not node in graph:
# Zero incoming connections.
graph[node] = [0]
for c in combineLists(self.connections.values()):
graph[c.inmod].append(c.outmod)
# Update the count of incoming arcs in outnode.
graph[c.outmod][0] += 1
# Find all roots (nodes with zero incoming arcs).
roots = [
node for (node, nodeinfo) in graph.items() if nodeinfo[0] == 0
]
# Make sure the ordering on all runs is the same.
roots.sort(key=lambda x: x.name)
# Repeatedly emit a root and remove it from the graph. Removing
# a node may convert some of the node's direct children into roots.
# Whenever that happens, we append the new roots to the list of
# current roots.
self.modulesSorted = []
while len(roots) != 0:
root = roots[0]
roots = roots[1:]
self.modulesSorted.append(root)
for child in graph[root][1:]:
graph[child][0] -= 1
if graph[child][0] == 0:
roots.append(child)
del graph[root]
if graph:
raise NetworkConstructionException("Loop in network graph.")
def _topologicalSort(self):
"""Update the network structure and make .modulesSorted a topologically
sorted list of the modules."""
# Algorithm: R. E. Tarjan (1972), stolen from:
# http://www.bitformation.com/art/python_toposort.html
# Create a directed graph, including a counter of incoming connections.
graph = {}
for node in self.modules:
if not graph.has_key(node):
# Zero incoming connections.
graph[node] = [0]
for c in combineLists(self.connections.values()):
graph[c.inmod].append(c.outmod)
# Update the count of incoming arcs in outnode.
graph[c.outmod][0] += 1
# Find all roots (nodes with zero incoming arcs).
roots = [node for (node, nodeinfo) in graph.items() if nodeinfo[0] == 0]
# Make sure the ordering on all runs is the same.
roots.sort(key=lambda x: x.name)
# Repeatedly emit a root and remove it from the graph. Removing
# a node may convert some of the node's direct children into roots.
# Whenever that happens, we append the new roots to the list of
# current roots.
self.modulesSorted = []
while len(roots) != 0:
root = roots[0]
roots = roots[1:]
self.modulesSorted.append(root)
for child in graph[root][1:]:
graph[child][0] -= 1
if graph[child][0] == 0:
roots.append(child)
del graph[root]
if graph:
raise NetworkConstructionException("Loop in network graph.")