Source code for PAMI.subgraphMining.basic.extendedEdge

# gSpan is a subgraph mining algorithm that uses DFS and DFS codes to mine subgraphs
#
# **Importing this algorithm into a python program**
#
#             from PAMI.subgraphMining.basic import gspan as alg
#
#             obj = alg.GSpan(iFile, minSupport)
#
#             obj.mine()
#
#             obj.run()
#
#             frequentGraphs = obj.getFrequentSubgraphs()
#
#             memUSS = obj.getMemoryUSS()
#
#             obj.save(oFile)
#
#             print("Total Memory in USS:", memUSS)
#
#             memRSS = obj.getMemoryRSS()
#
#             print("Total Memory in RSS", memRSS)
#
#             run = obj.getRuntime()
#
#             print("Total ExecutionTime in seconds:", run)
#


__copyright__ = """
 Copyright (C)  2021 Rage Uday Kiran

     This program 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.

     This program 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 this program.  If not, see <https://www.gnu.org/licenses/>.
"""
[docs] class ExtendedEdge: def __init__(self, v1, v2, vLabel1, vLabel2, edgeLabel): self.v1 = v1 self.v2 = v2 self.vLabel1 = vLabel1 self.vLabel2 = vLabel2 self.edgeLabel = edgeLabel self.hashcode = (1 + v1) * 100 + (1 + v2) * 50 + (1 + vLabel1) * 30 + (1 + vLabel2) * 20 + (1 + edgeLabel)
[docs] def smallerThan(self, that): if that is None: return True x1, x2, y1, y2 = self.v1, self.v2, that.v1, that.v2 if self.pairSmallerThan(x1, x2, y1, y2): return True elif x1 == y1 and x2 == y2: return (self.vLabel1 < that.vLabel1 or (self.vLabel1 == that.vLabel1 and self.vLabel2 < that.vLabel2) or (self.vLabel1 == that.vLabel1 and self.vLabel2 == that.vLabel2 and self.edgeLabel < that.edgeLabel)) else: return False
[docs] def smallerThanOriginal(self, that): if that is None: return True x1, x2, y1, y2 = self.v1, self.v2, that.v1, that.v2 if self.pairSmallerThan(x1, x2, y1, y2): return True elif x1 == y1 and x2 == y2: return (self.vLabel1 < that.vLabel1 or (self.vLabel1 == that.vLabel1 and self.edgeLabel < that.edgeLabel) or (self.vLabel1 == that.vLabel1 and self.edgeLabel == that.edgeLabel and self.vLabel2 < that.vLabel2)) else: return False
[docs] def pairSmallerThan(self, x1, x2, y1, y2): xForward = x1 < x2 yForward = y1 < y2 if xForward and yForward: return x2 < y2 or (x2 == y2 and x1 > y1) elif not xForward and not yForward: return x1 < y1 or (x1 == y1 and x2 < y2) elif xForward: return x2 <= y1 else: return x1 < y2
def __hash__(self): return self.hashcode def __eq__(self, other): if not isinstance(other, ExtendedEdge): return False return (self.v1 == other.v1 and self.v2 == other.v2 and self.vLabel1 == other.vLabel1 and self.vLabel2 == other.vLabel2 and self.edgeLabel == other.edgeLabel) def __repr__(self): return f"<{self.v1},{self.v2},{self.vLabel1},{self.vLabel2},{self.edgeLabel}>"
[docs] def getV1(self): return self.v1
[docs] def getV2(self): return self.v2
[docs] def getVLabel1(self): return self.vLabel1
[docs] def getVLabel2(self): return self.vLabel2
[docs] def getEdgeLabel(self): return self.edgeLabel