N
Nathan Harmston
Hi All,
Currently I am working on a generic graph library so I can do various
graph based analysis for various projects I have ideas for. Currently
I am implementing Graph as a wrapper around a dictionary. Currently my
implementation works like this:
t = Graph()
n1 = Node("Node1")
n2 = Node("Test2")
edge1 = Edge("Test3")
t += n1 { n1:{}}
t[n1][n2] = edge1 { n1:{n2:edge1}
However this isnt actually ending up with the structure I want. I want
it to finally end up as ...... { n1:{n2:edge1}, n2:{}}. Is
there anyway I can do this simply????
Also I am looking at having a large graph and was wondering if anyone
knew of anyway I could reduce the memory requirements of this
structure and improve the speed of queries on it. I m thinking writing
a C extension for it....is this a good idea and where would I start?
Or does Python have some kind of transparent memory access module I
can implement.
Many Thanks in advance,
Nathan
PS.....Please find my code below:
class Graph(object):
def __init__(self, g= { } ):
self.graph = g
def __iadd__(self, p):
if p not in self.graph:
self.graph[p] = PathsDict()
return self
def __getitem__(self, p):
try:
return self.graph[p]
except KeyError:
raise KeyError( "%s not in graph" %(repr(p)) )
def __str__(self):
return str(self.graph)
def filter(self, filter):
pass
class PathsDict(object):
def __init__(self):
self.paths = { }
def __setitem__(self, p, val):
if p not in self.paths:
self.paths[p] = val
def __getitem__(self, p):
return self.paths[p]
# catch exception here
def paths(self):
for k, v in self.paths:
yield (k, v)
def edges(self):
return self.paths.values()
def __str__(self):
return str(self.paths)
def __len__(self):
return len(self.paths)
class Node(object):
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class Edge(dict):
def __init__(self, name, weight = 1):
self["name"] = name
self["weight"] = weight
def __str__(self):
return self["name"]
Currently I am working on a generic graph library so I can do various
graph based analysis for various projects I have ideas for. Currently
I am implementing Graph as a wrapper around a dictionary. Currently my
implementation works like this:
t = Graph()
n1 = Node("Node1")
n2 = Node("Test2")
edge1 = Edge("Test3")
t += n1 { n1:{}}
t[n1][n2] = edge1 { n1:{n2:edge1}
However this isnt actually ending up with the structure I want. I want
it to finally end up as ...... { n1:{n2:edge1}, n2:{}}. Is
there anyway I can do this simply????
Also I am looking at having a large graph and was wondering if anyone
knew of anyway I could reduce the memory requirements of this
structure and improve the speed of queries on it. I m thinking writing
a C extension for it....is this a good idea and where would I start?
Or does Python have some kind of transparent memory access module I
can implement.
Many Thanks in advance,
Nathan
PS.....Please find my code below:
class Graph(object):
def __init__(self, g= { } ):
self.graph = g
def __iadd__(self, p):
if p not in self.graph:
self.graph[p] = PathsDict()
return self
def __getitem__(self, p):
try:
return self.graph[p]
except KeyError:
raise KeyError( "%s not in graph" %(repr(p)) )
def __str__(self):
return str(self.graph)
def filter(self, filter):
pass
class PathsDict(object):
def __init__(self):
self.paths = { }
def __setitem__(self, p, val):
if p not in self.paths:
self.paths[p] = val
def __getitem__(self, p):
return self.paths[p]
# catch exception here
def paths(self):
for k, v in self.paths:
yield (k, v)
def edges(self):
return self.paths.values()
def __str__(self):
return str(self.paths)
def __len__(self):
return len(self.paths)
class Node(object):
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class Edge(dict):
def __init__(self, name, weight = 1):
self["name"] = name
self["weight"] = weight
def __str__(self):
return self["name"]
