Source code for fraudar.export.MinTree

#
#  MinTree.py
#
#  Copyright (c) 2016-2023 Junpei Kawamoto
#
#  This file is part of rgmining-fraudar.
#
#  rgmining-fraudar is free software: you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
#
#  rgmining-fraudar is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#  GNU General Public License for more details.
#
#  You should have received a copy of the GNU General Public License
#  along with rgmining-fraudar. If not, see <http://www.gnu.org/licenses/>.
#
#  This file was originally made by Bryan Hooi et al,
#  and distributed under Apache License, Version 2.0.
#
import math


[docs]class MinTree: """ A tree data structure which stores a list of degrees and can quickly retrieve the min degree element, or modify any of the degrees, each in logarithmic time. It works by creating a binary tree with the given elements in the leaves, where each internal node stores the min of its two children. """ def __init__(self, degrees): self.height = int(math.ceil(math.log(len(degrees), 2))) self.numLeaves = 2**self.height self.numBranches = self.numLeaves - 1 self.n = self.numBranches + self.numLeaves self.nodes = [float("inf")] * self.n for i in range(len(degrees)): self.nodes[self.numBranches + i] = degrees[i] for i in reversed(range(self.numBranches)): self.nodes[i] = min(self.nodes[2 * i + 1], self.nodes[2 * i + 2]) # @profile
[docs] def getMin(self): cur = 0 for i in range(self.height): cur = (2 * cur + 1) if self.nodes[2 * cur + 1] <= self.nodes[2 * cur + 2] else (2 * cur + 2) # print "found min at %d: %d" % (cur, self.nodes[cur]) return (cur - self.numBranches, self.nodes[cur])
# @profile
[docs] def changeVal(self, idx, delta): cur = self.numBranches + idx self.nodes[cur] += delta for i in range(self.height): cur = (cur - 1) // 2 nextParent = min(self.nodes[2 * cur + 1], self.nodes[2 * cur + 2]) if self.nodes[cur] == nextParent: break self.nodes[cur] = nextParent
[docs] def dump(self): print(f"numLeaves: {self.numLeaves}, numBranches: {self.numBranches}, n: {self.n}, nodes: ") cur = 0 for i in range(self.height + 1): for j in range(2**i): print(self.nodes[cur], end=" ") cur += 1 print("")