You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


"""
This page is in the table of contents.
Statistic is an extremely valuable analyze plugin to print and/or save the statistics of the generated gcode.

The statistic manual page is at:
http://fabmetheus.crsndoo.com/wiki/index.php/Skeinforge_Statistic

==Operation==
The default 'Activate Statistic' checkbox is on.  When it is on, the functions described below will work when called from the skeinforge toolchain, when it is off, the functions will not be called from the toolchain.  The functions will still be called, whether or not the 'Activate Statistic' checkbox is on, when statistic is run directly.

==Settings==
===Print Statistics===
Default is on.

When the 'Print Statistics' checkbox is on, the statistics will be printed to the console.

===Save Statistics===
Default is off.

When the 'Save Statistics' checkbox is on, the statistics will be saved as a .txt file.

==Gcodes==
An explanation of the gcodes is at:
http://reprap.org/bin/view/Main/Arduino_GCode_Interpreter

and at:
http://reprap.org/bin/view/Main/MCodeReference

A gode example is at:
http://forums.reprap.org/file.php?12,file=565

==Examples==
Below are examples of statistic being used.  These examples are run in a terminal in the folder which contains Screw Holder_penultimate.gcode and statistic.py.  The 'Save Statistics' checkbox is selected.

> python statistic.py
This brings up the statistic dialog.

> python statistic.py Screw Holder_penultimate.gcode
Statistics are being generated for the file /home/enrique/Desktop/backup/babbleold/script/reprap/fabmetheus/models/Screw Holder_penultimate.gcode

Cost
Machine time cost is 0.31$.
Material cost is 0.2$.
Total cost is 0.51$.

Extent
X axis extrusion starts at 61 mm and ends at 127 mm, for a width of 65 mm.
Y axis extrusion starts at 81 mm and ends at 127 mm, for a depth of 45 mm.
Z axis extrusion starts at 0 mm and ends at 15 mm, for a height of 15 mm.

Extruder
Build time is 18 minutes 47 seconds.
Distance extruded is 46558.4 mm.
Distance traveled is 58503.3 mm.
Extruder speed is 50.0
Extruder was extruding 79.6 percent of the time.
Extruder was toggled 1688 times.
Operating flow rate is 9.8 mm3/s.
Feed rate average is 51.9 mm/s, (3113.8 mm/min).

Filament
Cross section area is 0.2 mm2.
Extrusion diameter is 0.5 mm.
Extrusion fill density ratio is 0.68

Material
Mass extruded is 9.8 grams.
Volume extruded is 9.1 cc.

Meta
Text has 33738 lines and a size of 1239.0 KB.
Version is 11.09.28

Procedures
carve
bottom
preface
inset
fill
multiply
speed
temperature
raft
skirt
dimension
bookend

Profile
UM-PLA-HighQuality

Slice
Edge width is 0.72 mm.
Layer height is 0.4 mm.

"""

from __future__ import absolute_import
#Init has to be imported first because it has code to workaround the python bug where relative imports don't work if the module is imported as a main module.
import __init__

from fabmetheus_utilities.vector3 import Vector3
from fabmetheus_utilities import archive
from fabmetheus_utilities import euclidean
from fabmetheus_utilities import gcodec
from fabmetheus_utilities import settings
from skeinforge_application.skeinforge_utilities import skeinforge_polyfile
from skeinforge_application.skeinforge_utilities import skeinforge_profile
import cStringIO
import math
import sys


__author__ = 'Enrique Perez (<PRESIDIO_ANONYMIZED_EMAIL_ADDRESS>)'
__date__ = '$Date: 2008/21/04 $'
__license__ = 'GNU Affero General Public License http://www.gnu.org/licenses/agpl.html'


def getNewRepository():
	'Get new repository.'
	return StatisticRepository()

def getWindowAnalyzeFile(fileName):
	"Write statistics for a gcode file."
	return getWindowAnalyzeFileGivenText( fileName, archive.getFileText(fileName) )

def getWindowAnalyzeFileGivenText( fileName, gcodeText, repository=None):
	"Write statistics for a gcode file."
	print('')
	print('')
	print('Statistics are being generated for the file ' + archive.getSummarizedFileName(fileName) )
	if repository == None:
		repository = settings.getReadRepository( StatisticRepository() )
	skein = StatisticSkein()
	statisticGcode = skein.getCraftedGcode(gcodeText, repository)
	if repository.printStatistics.value:
		print(statisticGcode)
	if repository.saveStatistics.value:
		archive.writeFileMessageEnd('.txt', fileName, statisticGcode, 'The statistics file is saved as ')

def writeOutput(fileName, fileNamePenultimate, fileNameSuffix, filePenultimateWritten, gcodeText=''):
	"Write statistics for a skeinforge gcode file, if 'Write Statistics File for Skeinforge Chain' is selected."
	repository = settings.getReadRepository( StatisticRepository() )
	if gcodeText == '':
		gcodeText = archive.getFileText( fileNameSuffix )
	if repository.activateStatistic.value:
		getWindowAnalyzeFileGivenText( fileNameSuffix, gcodeText, repository )


class StatisticRepository:
	"A class to handle the statistics settings."
	def __init__(self):
		"Set the default settings, execute title & settings fileName."
		skeinforge_profile.addListsToCraftTypeRepository('skeinforge_application.skeinforge_plugins.analyze_plugins.statistic.html', self)
		self.openWikiManualHelpPage = settings.HelpPage().getOpenFromAbsolute('http://fabmetheus.crsndoo.com/wiki/index.php/Skeinforge_Statistic')
		self.activateStatistic = settings.BooleanSetting().getFromValue('Activate Statistic', self, True )
		settings.LabelSeparator().getFromRepository(self)
		settings.LabelDisplay().getFromName('- Cost -', self )
		self.machineTime = settings.FloatSpin().getFromValue( 0.0, 'Machine Time ($/hour):', self, 5.0, 1.0 )
		self.material = settings.FloatSpin().getFromValue( 0.0, 'Material ($/kg):', self, 40.0, 20.0 )
		settings.LabelSeparator().getFromRepository(self)
		self.density = settings.FloatSpin().getFromValue( 500.0, 'Density (kg/m3):', self, 2000.0, 930.0 )
		self.fileNameInput = settings.FileNameInput().getFromFileName( [ ('Gcode text files', '*.gcode') ], 'Open File to Generate Statistics for', self, '')
		self.printStatistics = settings.BooleanSetting().getFromValue('Print Statistics', self, True )
		self.saveStatistics = settings.BooleanSetting().getFromValue('Save Statistics', self, False )
		self.executeTitle = 'Generate Statistics'

	def execute(self):
		"Write button has been clicked."
		fileNames = skeinforge_polyfile.getFileOrGcodeDirectory( self.fileNameInput.value, self.fileNameInput.wasCancelled, ['_comment'] )
		for fileName in fileNames:
			getWindowAnalyzeFile(fileName)


class StatisticSkein:
	"A class to get statistics for a gcode skein."
	def __init__(self):
		self.extrusionDiameter = None
		self.oldLocation = None
		self.operatingFeedRatePerSecond = None
		self.output = cStringIO.StringIO()
		self.profileName = None
		self.version = None
		self.volumeFraction = None

	def addLine(self, line):
		"Add a line of text and a newline to the output."
		self.output.write(line + '\n')

	def addToPath(self, location):
		"Add a point to travel and maybe extrusion."
		if self.oldLocation != None:
			travel = location.distance( self.oldLocation )
			if self.feedRateMinute > 0.0:
				self.totalBuildTime += 60.0 * travel / self.feedRateMinute
			self.totalDistanceTraveled += travel
			if self.extruderActive:
				self.totalDistanceExtruded += travel
				self.cornerMaximum.maximize(location)
				self.cornerMinimum.minimize(location)
		self.oldLocation = location

	def extruderSet( self, active ):
		"Maybe increment the number of times the extruder was toggled."
		if self.extruderActive != active:
			self.extruderToggled += 1
		self.extruderActive = active

	def getCraftedGcode(self, gcodeText, repository):
		"Parse gcode text and store the statistics."
		self.absoluteEdgeWidth = 0.4
		self.characters = 0
		self.cornerMaximum = Vector3(-987654321.0, -987654321.0, -987654321.0)
		self.cornerMinimum = Vector3(987654321.0, 987654321.0, 987654321.0)
		self.extruderActive = False
		self.extruderSpeed = None
		self.extruderToggled = 0
		self.feedRateMinute = 600.0
		self.layerHeight = 0.4
		self.numberOfLines = 0
		self.procedures = []
		self.repository = repository
		self.totalBuildTime = 0.0
		self.totalDistanceExtruded = 0.0
		self.totalDistanceTraveled = 0.0
		lines = archive.getTextLines(gcodeText)
		for line in lines:
			self.parseLine(line)
		averageFeedRate = self.totalDistanceTraveled / self.totalBuildTime
		self.characters += self.numberOfLines
		kilobytes = round( self.characters / 1024.0 )
		halfEdgeWidth = 0.5 * self.absoluteEdgeWidth
		halfExtrusionCorner = Vector3( halfEdgeWidth, halfEdgeWidth, halfEdgeWidth )
		self.cornerMaximum += halfExtrusionCorner
		self.cornerMinimum -= halfExtrusionCorner
		extent = self.cornerMaximum - self.cornerMinimum
		roundedHigh = euclidean.getRoundedPoint( self.cornerMaximum )
		roundedLow = euclidean.getRoundedPoint( self.cornerMinimum )
		roundedExtent = euclidean.getRoundedPoint( extent )
		axisString =  " axis extrusion starts at "
		crossSectionArea = self.absoluteEdgeWidth * self.layerHeight
		if self.volumeFraction != None:
			crossSectionArea *= self.volumeFraction
		self.extrusionDiameter = math.sqrt(4.0 * crossSectionArea / math.pi)
		volumeExtruded = 0.001 * crossSectionArea * self.totalDistanceExtruded
		mass = volumeExtruded / repository.density.value
		machineTimeCost = repository.machineTime.value * self.totalBuildTime / 3600.0
		materialCost = repository.material.value * mass
		self.addLine(' ')
		self.addLine('Cost')
		self.addLine( "Machine time cost is %s$." % round( machineTimeCost, 2 ) )
		self.addLine( "Material cost is %s$." % round( materialCost, 2 ) )
		self.addLine( "Total cost is %s$." % round( machineTimeCost + materialCost, 2 ) )
		self.addLine(' ')
		self.addLine('Extent')
		self.addLine( "X%s%s mm and ends at %s mm, for a width of %s mm." % ( axisString, int( roundedLow.x ), int( roundedHigh.x ), int( extent.x ) ) )
		self.addLine( "Y%s%s mm and ends at %s mm, for a depth of %s mm." % ( axisString, int( roundedLow.y ), int( roundedHigh.y ), int( extent.y ) ) )
		self.addLine( "Z%s%s mm and ends at %s mm, for a height of %s mm." % ( axisString, int( roundedLow.z ), int( roundedHigh.z ), int( extent.z ) ) )
		self.addLine(' ')
		self.addLine('Extruder')
		self.addLine( "Build time is %s." % euclidean.getDurationString( self.totalBuildTime ) )
		self.addLine( "Distance extruded is %s mm." % euclidean.getThreeSignificantFigures( self.totalDistanceExtruded ) )
		self.addLine( "Distance traveled is %s mm." % euclidean.getThreeSignificantFigures( self.totalDistanceTraveled ) )
		if self.extruderSpeed != None:
			self.addLine( "Extruder speed is %s" % euclidean.getThreeSignificantFigures( self.extruderSpeed ) )
		self.addLine( "Extruder was extruding %s percent of the time." % euclidean.getThreeSignificantFigures( 100.0 * self.totalDistanceExtruded / self.totalDistanceTraveled ) )
		self.addLine( "Extruder was toggled %s times." % self.extruderToggled )
		if self.operatingFeedRatePerSecond != None:
			flowRate = crossSectionArea * self.operatingFeedRatePerSecond
			self.addLine( "Operating flow rate is %s mm3/s." % euclidean.getThreeSignificantFigures( flowRate ) )
		self.addLine( "Feed rate average is %s mm/s, (%s mm/min)." % ( euclidean.getThreeSignificantFigures( averageFeedRate ), euclidean.getThreeSignificantFigures( 60.0 * averageFeedRate ) ) )
		self.addLine(' ')
		self.addLine('Filament')
		self.addLine( "Cross section area is %s mm2." % euclidean.getThreeSignificantFigures( crossSectionArea ) )
		self.addLine('Extrusion diameter is %s mm.' % euclidean.getThreeSignificantFigures(self.extrusionDiameter))
		if self.volumeFraction != None:
			self.addLine('Volume fraction is %s.' % euclidean.getThreeSignificantFigures(self.volumeFraction))
		self.addLine(' ')
		self.addLine('Material')
		self.addLine( "Mass extruded is %s grams." % euclidean.getThreeSignificantFigures( 1000.0 * mass ) )
		self.addLine( "Volume extruded is %s cc." % euclidean.getThreeSignificantFigures( volumeExtruded ) )
		self.addLine(' ')
		self.addLine('Meta')
		self.addLine( "Text has %s lines and a size of %s KB." % ( self.numberOfLines, kilobytes ) )
		if self.version != None:
			self.addLine( "Version is "  + self.version )
		self.addLine(' ')
		self.addLine( "Procedures" )
		for procedure in self.procedures:
			self.addLine(procedure)
		if self.profileName != None:
			self.addLine(' ')
			self.addLine( 'Profile' )
			self.addLine(self.profileName)
		self.addLine(' ')
		self.addLine('Slice')
		self.addLine( "Edge width is %s mm." % euclidean.getThreeSignificantFigures( self.absoluteEdgeWidth ) )
		self.addLine( "Layer height is %s mm." % euclidean.getThreeSignificantFigures( self.layerHeight ) )
		self.addLine(' ')
		return self.output.getvalue()

	def getLocationSetFeedRateToSplitLine( self, splitLine ):
		"Get location ans set feed rate to the plsit line."
		location = gcodec.getLocationFromSplitLine(self.oldLocation, splitLine)
		indexOfF = gcodec.getIndexOfStartingWithSecond( "F", splitLine )
		if indexOfF > 0:
			self.feedRateMinute = gcodec.getDoubleAfterFirstLetter( splitLine[indexOfF] )
		return location

	def helicalMove( self, isCounterclockwise, splitLine ):
		"Get statistics for a helical move."
		if self.oldLocation == None:
			return
		location = self.getLocationSetFeedRateToSplitLine(splitLine)
		location += self.oldLocation
		center = self.oldLocation.copy()
		indexOfR = gcodec.getIndexOfStartingWithSecond( "R", splitLine )
		if indexOfR > 0:
			radius = gcodec.getDoubleAfterFirstLetter( splitLine[ indexOfR ] )
			halfLocationMinusOld = location - self.oldLocation
			halfLocationMinusOld *= 0.5
			halfLocationMinusOldLength = halfLocationMinusOld.magnitude()
			centerMidpointDistanceSquared = radius * radius - halfLocationMinusOldLength * halfLocationMinusOldLength
			centerMidpointDistance = math.sqrt( max( centerMidpointDistanceSquared, 0.0 ) )
			centerMinusMidpoint = euclidean.getRotatedWiddershinsQuarterAroundZAxis( halfLocationMinusOld )
			centerMinusMidpoint.normalize()
			centerMinusMidpoint *= centerMidpointDistance
			if isCounterclockwise:
				center.setToVector3( halfLocationMinusOld + centerMinusMidpoint )
			else:
				center.setToVector3( halfLocationMinusOld - centerMinusMidpoint )
		else:
			center.x = gcodec.getDoubleForLetter( "I", splitLine )
			center.y = gcodec.getDoubleForLetter( "J", splitLine )
		curveSection = 0.5
		center += self.oldLocation
		afterCenterSegment = location - center
		beforeCenterSegment = self.oldLocation - center
		afterCenterDifferenceAngle = euclidean.getAngleAroundZAxisDifference( afterCenterSegment, beforeCenterSegment )
		absoluteDifferenceAngle = abs( afterCenterDifferenceAngle )
		steps = int( round( 0.5 + max( absoluteDifferenceAngle * 2.4, absoluteDifferenceAngle * beforeCenterSegment.magnitude() / curveSection ) ) )
		stepPlaneAngle = euclidean.getWiddershinsUnitPolar( afterCenterDifferenceAngle / steps )
		zIncrement = ( afterCenterSegment.z - beforeCenterSegment.z ) / float( steps )
		for step in xrange( 1, steps ):
			beforeCenterSegment = euclidean.getRoundZAxisByPlaneAngle( stepPlaneAngle, beforeCenterSegment )
			beforeCenterSegment.z += zIncrement
			arcPoint = center + beforeCenterSegment
			self.addToPath( arcPoint )
		self.addToPath( location )

	def linearMove( self, splitLine ):
		"Get statistics for a linear move."
		location = self.getLocationSetFeedRateToSplitLine(splitLine)
		self.addToPath( location )

	def parseLine(self, line):
		"Parse a gcode line and add it to the statistics."
		self.characters += len(line)
		self.numberOfLines += 1
		splitLine = gcodec.getSplitLineBeforeBracketSemicolon(line)
		if len(splitLine) < 1:
			return
		firstWord = splitLine[0]
		if firstWord == 'G1':
			self.linearMove(splitLine)
		elif firstWord == 'G2':
			self.helicalMove( False, splitLine )
		elif firstWord == 'G3':
			self.helicalMove( True, splitLine )
		elif firstWord == 'M101':
			self.extruderSet( True )
		elif firstWord == 'M102':
			self.extruderSet( False )
		elif firstWord == 'M103':
			self.extruderSet( False )
		elif firstWord == 'M108':
			self.extruderSpeed = gcodec.getDoubleAfterFirstLetter(splitLine[1])
		elif firstWord == '(<layerHeight>':
			self.layerHeight = float(splitLine[1])
		elif firstWord == '(<operatingFeedRatePerSecond>':
			self.operatingFeedRatePerSecond = float(splitLine[1])
		elif firstWord == '(<edgeWidth>':
			self.absoluteEdgeWidth = abs(float(splitLine[1]))
		elif firstWord == '(<procedureName>':
			self.procedures.append(splitLine[1])
		elif firstWord == '(<profileName>':
			self.profileName = line.replace('(<profileName>', '').replace('</profileName>)', '').strip()
		elif firstWord == '(<version>':
			self.version = splitLine[1]
		elif firstWord == '(<volumeFraction>':
			self.volumeFraction = float(splitLine[1])


def main():
	"Display the statistics dialog."
	if len(sys.argv) > 1:
		getWindowAnalyzeFile(' '.join(sys.argv[1 :]))
	else:
		settings.startMainLoopFromConstructor(getNewRepository())

if __name__ == "__main__":
	main()