# Test script used to verify CPU status of the test PC
# Recommended to run this script before executing any test suites
#
################################################################################
################################################################################
import sys
sys.path.append("../lib")
from commonlib import *
from TestController import *
import xml.etree.ElementTree as ET
import re
import time
#Custom Test libraries
cLib = CommonLib()
testcontrol = TestController()
################################################################################
# Parse the Command Line Arguments
################################################################################
import argparse
def fnTestModule_1():
cLib.logger(
"----------------------------------------------------------------------"
)
cLib.logger(
"Module 1: Basic Functionality - Frequency Shift & Negative Load "
)
cLib.logger(
With the initial Berkeley dataset, we've got some backbone traffic in the data.
As a result, only a few kinds of 'packets' make up most of our data. Using just
IP & Port, roughly 90% (or more) of the traffic is traffic on one of 6 connections.
(according to raw packet count)
My instinct is generally no, but it might be useful to make KNN's output
more sensible. Possibly. I don't know, this may just be an expected result.
I'm curious if some of the CRAWDAD data will have similar proprties. I assume
it will, if backbone traffic is included.
"""
# Making a ML system and passing to TestController after this point.
kns = KNNSys.KNearestSystem()
knc = KNCSys.KNClassifierSystem()
controller = TestController.TestController(data)
# Working out what the constructor looks like.
#knnResults = controller.run(kns)
# Data formatting notes
# The various scikit-learn libraries expect an 'array like' object.
# Fortunately, they can correctly convert a list. So, a list-of-lists is a
# valid object to pass them. We may want to convert to array's at some point
# for memory reasons, but that can be done hear. Below this, I'll probably
# just pass inputs through array() as necessary.
