1
0
mirror of https://github.com/nmap/nmap.git synced 2025-12-26 01:19:03 +00:00
Files
nmap/zenmap/radialnet/core/Graph.py
2024-02-28 18:46:45 +00:00

249 lines
7.3 KiB
Python

# vim: set fileencoding=utf-8 :
# ***********************IMPORTANT NMAP LICENSE TERMS************************
# *
# * The Nmap Security Scanner is (C) 1996-2024 Nmap Software LLC ("The Nmap
# * Project"). Nmap is also a registered trademark of the Nmap Project.
# *
# * This program is distributed under the terms of the Nmap Public Source
# * License (NPSL). The exact license text applying to a particular Nmap
# * release or source code control revision is contained in the LICENSE
# * file distributed with that version of Nmap or source code control
# * revision. More Nmap copyright/legal information is available from
# * https://nmap.org/book/man-legal.html, and further information on the
# * NPSL license itself can be found at https://nmap.org/npsl/ . This
# * header summarizes some key points from the Nmap license, but is no
# * substitute for the actual license text.
# *
# * Nmap is generally free for end users to download and use themselves,
# * including commercial use. It is available from https://nmap.org.
# *
# * The Nmap license generally prohibits companies from using and
# * redistributing Nmap in commercial products, but we sell a special Nmap
# * OEM Edition with a more permissive license and special features for
# * this purpose. See https://nmap.org/oem/
# *
# * If you have received a written Nmap license agreement or contract
# * stating terms other than these (such as an Nmap OEM license), you may
# * choose to use and redistribute Nmap under those terms instead.
# *
# * The official Nmap Windows builds include the Npcap software
# * (https://npcap.com) for packet capture and transmission. It is under
# * separate license terms which forbid redistribution without special
# * permission. So the official Nmap Windows builds may not be redistributed
# * without special permission (such as an Nmap OEM license).
# *
# * Source is provided to this software because we believe users have a
# * right to know exactly what a program is going to do before they run it.
# * This also allows you to audit the software for security holes.
# *
# * Source code also allows you to port Nmap to new platforms, fix bugs, and
# * add new features. You are highly encouraged to submit your changes as a
# * Github PR or by email to the dev@nmap.org mailing list for possible
# * incorporation into the main distribution. Unless you specify otherwise, it
# * is understood that you are offering us very broad rights to use your
# * submissions as described in the Nmap Public Source License Contributor
# * Agreement. This is important because we fund the project by selling licenses
# * with various terms, and also because the inability to relicense code has
# * caused devastating problems for other Free Software projects (such as KDE
# * and NASM).
# *
# * The free version of Nmap 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. Warranties,
# * indemnification and commercial support are all available through the
# * Npcap OEM program--see https://nmap.org/oem/
# *
# ***************************************************************************/
class Node(object):
"""
Node class
"""
def __init__(self):
"""
Constructor method of Node class
@type : integer
@param : Node identifier
"""
self.__data = None
"""User-controlled data pointer"""
self.__edges = []
"""List of edges to other nodes"""
def get_data(self):
return self.__data
def set_data(self, data):
self.__data = data
def get_edge(self, dest):
"""
Return the edge connecting to dest, or None if none
"""
for edge in self.__edges:
if dest in edge.get_nodes():
return edge
return None
def get_edges(self):
"""
Return the list of edges
"""
return self.__edges
def add_edge(self, edge):
self.__edges.append(edge)
class Edge:
"""
"""
def __init__(self, nodes):
"""
"""
self.__weights = []
self.__nodes = nodes
self.__weights_mean = None
def get_nodes(self):
"""
"""
return self.__nodes
def get_weights(self):
"""
"""
return self.__weights
def set_weights(self, weights):
"""
"""
self.__weights = weights
self.__weights_mean = sum(self.__weights) / len(self.__weights)
def add_weight(self, weight):
"""
"""
self.__weights.append(weight)
self.__weights_mean = sum(self.__weights) / len(self.__weights)
def get_weights_mean(self):
"""
"""
return self.__weights_mean
class Graph:
"""
Network Graph class
"""
def __init__(self):
"""
Constructor method of Graph class
@type : list
@param : List of nodes
"""
self.__main_node = None
self.__nodes = []
self.__max_edge_mean_value = None
self.__min_edge_mean_value = None
def set_nodes(self, nodes):
"""
"""
self.__nodes = nodes
def get_nodes(self):
"""
"""
return self.__nodes
def get_number_of_nodes(self):
"""
Get the number of nodes in graph
@rtype: number
@return: The number of nodes in the graph
"""
return len(self.__nodes)
def set_main_node(self, node):
"""
Set the main node
@type : number
@param : The node
"""
self.__main_node = node
def get_main_node(self):
"""
Get the main node
@rtype: Node
@return: The main node
"""
return self.__main_node
def set_connection(self, a, b, weight=None):
"""
Set node connections
@type : list
@param : List of connections
"""
# if is a new connection make it
edge = a.get_edge(b)
if edge is None:
edge = Edge((a, b))
a.add_edge(edge)
b.add_edge(edge)
# then add new weight value
if weight is not None:
edge.add_weight(weight)
mean_weight = edge.get_weights_mean()
if (self.__min_edge_mean_value is None or
mean_weight < self.__min_edge_mean_value):
self.__min_edge_mean_value = mean_weight
if (self.__max_edge_mean_value is None or
mean_weight > self.__max_edge_mean_value):
self.__max_edge_mean_value = mean_weight
def get_edges(self):
"""
An iterator that yields all edges
"""
for node in self.__nodes:
for edge in node.get_edges():
if edge.get_nodes()[0] == node:
yield edge
def get_node_connections(self, node):
"""
"""
connections = []
for edge in node.get_edges():
(a, b) = edge.get_nodes()
if a == node:
connections.append(b)
if b == node:
connections.append(a)
return connections
def get_max_edge_mean_weight(self):
"""
"""
return self.__max_edge_mean_value
def get_min_edge_mean_weight(self):
"""
"""
return self.__min_edge_mean_value