def test_order(self):
o = OrderedSet()
o.push('1')
o.push('1')
o.push('2')
o.push('1')
self.assertEqual(o, ['2', '1'])
def test_order(self):
o = OrderedSet()
o.push('1')
o.push('1')
o.push('2')
o.push('1')
self.assertEqual(o, ['2', '1'])
def __init__(self, range_lower, range_upper, ksize):
self.range = (range_lower, range_upper)
self.nodes = OrderedDict()
self.replacementNodes = OrderedSet()
self.touchLastUpdated()
self.ksize = ksize
class KBucket(object):
def __init__(self, range_lower, range_upper, ksize):
self.range = (range_lower, range_upper)
self.nodes = OrderedDict()
self.replacementNodes = OrderedSet()
self.touchLastUpdated()
self.ksize = ksize
def touchLastUpdated(self):
self.lastUpdated = time.time()
def getNodes(self):
return self.nodes.values()
def split(self):
midpoint = self.range[1] - ((self.range[1] - self.range[0]) / 2)
one = KBucket(self.range[0], midpoint, self.ksize)
two = KBucket(midpoint + 1, self.range[1], self.ksize)
for node in self.nodes.values():
bucket = one if node.long_id <= midpoint else two
bucket.nodes[node.id] = node
return one, two
def removeNode(self, node):
if node.id not in self.nodes:
return
# delete node, and see if we can add a replacement
del self.nodes[node.id]
if len(self.replacementNodes) > 0:
newnode = self.replacementNodes.pop()
self.nodes[newnode.id] = newnode
def hasInRange(self, node):
return self.range[0] <= node.long_id <= self.range[1]
def isNewNode(self, node):
return node.id not in self.nodes
def addNode(self, node):
"""
Add a C{Node} to the C{KBucket}. Return True if successful,
False if the bucket is full.
If the bucket is full, keep track of node in a replacement list,
per section 4.1 of the paper.
"""
if node.id in self.nodes:
del self.nodes[node.id]
self.nodes[node.id] = node
elif len(self) < self.ksize:
self.nodes[node.id] = node
else:
self.replacementNodes.push(node)
return False
return True
def depth(self):
sp = sharedPrefix([n.id for n in self.nodes.values()])
return len(sp)
def head(self):
return self.nodes.values()[0]
def __getitem__(self, id):
return self.nodes.get(id, None)
def __len__(self):
return len(self.nodes)
def __init__(self, range_lower, range_upper, ksize):
self.range = (range_lower, range_upper)
self.nodes = OrderedDict()
self.replacementNodes = OrderedSet()
self.touchLastUpdated()
self.ksize = ksize
class KBucket(object):
def __init__(self, range_lower, range_upper, ksize):
self.range = (range_lower, range_upper)
self.nodes = OrderedDict()
self.replacementNodes = OrderedSet()
self.touchLastUpdated()
self.ksize = ksize
def touchLastUpdated(self):
self.lastUpdated = time.time()
def getNodes(self):
return self.nodes.values()
def split(self):
midpoint = self.range[1] - ((self.range[1] - self.range[0]) / 2)
one = KBucket(self.range[0], midpoint, self.ksize)
two = KBucket(midpoint + 1, self.range[1], self.ksize)
for node in self.nodes.values():
bucket = one if node.long_id <= midpoint else two
bucket.nodes[node.id] = node
return one, two
def removeNode(self, node):
if node.id not in self.nodes:
return
# delete node, and see if we can add a replacement
del self.nodes[node.id]
if len(self.replacementNodes) > 0:
newnode = self.replacementNodes.pop()
self.nodes[newnode.id] = newnode
def hasInRange(self, node):
return self.range[0] <= node.long_id <= self.range[1]
def isNewNode(self, node):
return node.id not in self.nodes
def addNode(self, node):
"""
Add a C{Node} to the C{KBucket}. Return True if successful,
False if the bucket is full.
If the bucket is full, keep track of node in a replacement list,
per section 4.1 of the paper.
"""
if node.id in self.nodes:
del self.nodes[node.id]
self.nodes[node.id] = node
elif len(self) < self.ksize:
self.nodes[node.id] = node
else:
self.replacementNodes.push(node)
return False
return True
def depth(self):
sp = sharedPrefix([n.id for n in self.nodes.values()])
return len(sp)
def head(self):
return self.nodes.values()[0]
def __getitem__(self, item_id):
return self.nodes.get(item_id, None)
def __len__(self):
return len(self.nodes)