下面是Python中的代码片段,如果IP属于前缀,则将IP前缀存储在基数树中,然后将字典中的IP和ASN关联起来。
我想找出特定前缀的所有不同ASN。更多详情如下:
#rtree is a radix tree which has prefixes stored.
rtree = radix.Radix()
with open(path-to-prefix-file,'r') as fp:
for line in fp:
rnode = rtree.add(line) # Eg, Prefixes like "192.168.2.0/24"
rnode.data["count"]= 0
...
# The code has several lines here for processing a capnproto - skipping them.
rnode.data[IP]=asn_complete # I read a Capnproto buffer and store IP and asn_complete
...
for rnode in rtree:
seen_list = [] # defining a list to store different val, i.e.,asn_complete values
if rnode.data["count"] > 1:
""" Iterate through the rnode.data dictionary """
for ip,val in rnode.data.iteritems():
if val not in seen_list: # Condition is always satisfied!!
seen_list.append(val)
例如:val
在几次迭代中从protobuf中得到以下值:
[<capnp list reader [15169]>, <capnp list reader [1239]>, <capnp list reader [4837]>]
当我打印出seen_list
:
[[<capnp list reader [15169]>, <capnp list reader [1239]>, <capnp list reader [4837]>], [<capnp list reader [15169]>, <capnp list reader [1239]>, <capnp list reader [4837]>], [<capnp list reader [15169]>, <capnp list reader [1239]>, <capnp list reader [4837]>],....]
显然val
位于seen_list
;但是,if val not in seen_list:
始终为真,并且val
被多次附加到seen_list
。我不明白为什么这种情况总是如此。是因为seen_list
中存储的对象类型?