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📄 mod-del.py

📁 该软件根据网络数据生成NetFlow记录。NetFlow可用于网络规划、负载均衡、安全监控等
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#! /usr/bin/env python################################################################################                                                                             ##   Copyright 2005 University of Cambridge Computer Laboratory.               ##                                                                             ##   This file is part of Nprobe.                                              ##                                                                             ##   Nprobe 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 2 of the License, or         ##   (at your option) any later version.                                       ##                                                                             ##   Nprobe 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 Nprobe; if not, write to the Free Software                     ##   Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA ##                                                                             ################################################################################from random import *from sys import argvimport getoptimport osimport sysfrom np_TCPConn import D_BIGDELscriptname = os.path.basename(argv[0])ofnm = Nonetry:    optlist, args = getopt.getopt(sys.argv[1:], '')except getopt.error, s:    print '%s: %s' % (scriptname, s)    usage(scriptname)    sys.exit(1)print argsprop = float(args[0])#prop = prop/100.0base = 100.0 - propfor fnm in args[1:]:    ff = fnm.replace('.cdf', '')    newfnm = ff + '-mod'    newfnm += '.cdf'    print fnm    f = open(fnm, 'r')    nf = open(newfnm, 'w')    write = nf.write    xmax = 0    ymin = 100000000000    ymax = 0    bf = []    for l in f.readlines():        #print l        if l[0] =='#':            continue        l = l.replace('\n', '')        l = l.replace('\t', ' ')        l1 = l.split(' ')        #print l1        xc, yc, ya = l1        #print x, y        x = float(xc)        y = float(yc)        bf.append([x, y])        xmax = max(x, xmax)        ymin = min(y, ymin)        ymax = max(y, ymax)    range = ymax-ymin     mult = prop/range    print range, prop, mult            print 'writing to', newfnm    last = bf[0][0]    for i in bf:        p = ((i[1]-ymin)*mult)+base        x = i[0]        #x += x*(100-p)        #x *= (xmax-x)/10000        #if x < last:        #    x = last        #last = x        #print ((i[1]-ymin)*mult)+base        write('%d %f\n' % (x, p))

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