ryanwitt

#!/usr/bin/python

#jh- pasted from:
#    http://peerit.blogspot.com/2007/07/multipartposthandler-doesnt-work-for.html

####
# 02/2006 Will Holcomb <[email protected]>
# 
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public

ryanwitt

# $Id: pcap.py 26 2006-11-21 01:18:55Z dahelder $

"""Libpcap file format."""

import sys, time
import dpkt

TCPDUMP_MAGIC = 0xa1b2c3d4L
PMUDPCT_MAGIC = 0xd4c3b2a1L

ryanwitt

#!/usr/bin/python
# -*- coding: utf8 -*-

import hashlib, random, timeit

def generate_it(bytes):
    return ''.join(chr(random.getrandbits(8)) for x in xrange(bytes))

def hash_it(stuff):
    return hashlib.md5(stuff).hexdigest()

ryanwitt

function si_prefix(size) {
  var suffixes =['', 'k', 'M', 'G', 'T', 'P', 'E'];
  if (size === 0) return '0';
  base = Math.log(size) / Math.log(1000);
  return suffixes[Math.floor(base)];
}

ryanwitt

from django.core.exceptions import ImproperlyConfigured
from django.core.management.base import BaseCommand, CommandError
from django.core import serializers
from django.utils.datastructures import SortedDict

from optparse import make_option

class Command(BaseCommand):
    option_list = BaseCommand.option_list + (
        make_option('--format', default='json', dest='format',

ryanwitt

confusion.glm <- function(data, model) {
  prediction <- ifelse(predict(model, data, type='response') > 0.5, TRUE, FALSE)
  confusion  <- table(prediction, as.logical(model$y))
  confusion  <- cbind(confusion, c(1 - confusion[1,1]/(confusion[1,1]+confusion[2,1]), 1 - confusion[2,2]/(confusion[2,2]+confusion[1,2])))
  confusion  <- as.data.frame(confusion)
  names(confusion) <- c('FALSE', 'TRUE', 'class.error')
  confusion
}

ryanwitt

__all__ = (
    'frequency_histogram',
    'endode_simple',
    'decode_simple',
    'huffman_tree',
    'encode_character',
    'encode_huffman',
    'hist2dot',
    'tree2dot',
)

ryanwitt

#
# Version 1 
#
# - data stored as node and edge sets
# - frontier is set of (src, dst, weight)
# - far too many O(n) loops
#

# Load graph 
nodes = set()

ryanwitt

class Request(object):
    def __init__(self, host, path):
        self.get_host = lambda:host
        self.get_full_path = lambda:path

ryanwitt

def static_lcs(one,two):
    lcs, candidate = '', ''
    for o,t in zip(one, two):
        if o == t:
            candidate = candidate + o
            if len(candidate) > len(lcs):
                lcs = candidate
        else:
            candidate = ''
    return lcs