Question 4:\n\nWhich of the following is in the past tense?\n\n[[I want the store.|PlacementQuiz5][$placementQuizAnswer4 to "want"]]\n[[I went to the store.|PlacementQuiz5][$placementQuizAnswer4 to "went"]]\n[[I am the store.|PlacementQuiz5][$placementQuizAnswer4 to "am"]]

Question 5:\n\nWhat's the correct way to greet someone new?\n<<textinput $placementQuizAnswer5>>\n<<button [[Submit|PlacementQuizResults]]>>

document.addEventListener("contextmenu", function(e){\n e.preventDefault();\n}, false);

<<set $letters to $allAngConsonantsExtended>>\s\n<<set $randLetter to random(0,$letters.length-1)>>\s\n<<set $letter1 to $letters[$randLetter]>>\s\n<<set $letters.splice($letters.indexOf($letter1),1)>>\s\n<<set $randLetter to random(0,$letters.length-1)>>\s\n<<set $letter2 to $letters[$randLetter]>>\s\n\s\n<<timedreplace 1s>>You forgot <<print $letter1>> and <<print $letter2>>, but that's okay.<<gains>>\n\nQuestion 2:\n\nWhat is a pronoun?\n\n[[Whatever you want it to be, baby.|PlacementQuiz3][$placementQuizAnswer2 to "whatever"]]\n[[A placeholder for something's name.|PlacementQuiz3][$placementQuizAnswer2 to "placeholder"]]\n[[The expensive upgrade from noun lite.|PlacementQuiz3][$placementQuizAnswer2 to "upgrade"]]\n<<endtimedreplace>>

Question 3:\n\nHow many forms of 'be' are in the sentence the reader is reading now?\n[[None|PlacementQuiz4][$placementQuizAnswer3 to "wrong"]]\n[[One|PlacementQuiz4][$placementQuizAnswer3 to "wrong"]]\n[[Three|PlacementQuiz4][$placementQuizAnswer3 to "probably right"]]\n[[Fourteen|PlacementQuiz4][$placementQuizAnswer3 to "wrong"]]

After class, a boy comes running up to you, in a fit of emotion.\n\n<<continue "Ask what's wrong.">>\s\n<<stat Morality +2>>\n\nHe said "I <<print $placementQuizAnswer4>> to my class. My friend she's no there."\n\n<<continue "Help him find his friend.">>\s\nYou have a bit of planning left <<replace>>to do<<gains>> (<<stat Discipline +3>>)<<endreplace>>, but you take him by the hand and you hunt for his friend together.\n\n<<continue "Oh, she's like right there.">>\s\nThey're very happy to see each other. They say "<<mword 3>>" <<if $MoounFluency >10>> (an excited casual greeting)<<endif>> to each other and they're off to play.\n\n<<stat Morality +2>>\n<<stat MoounFluency +3>>\n<<stat Stamina -2>>\n\n<<display goHome>>

<<if $isNight is true>>\s\n[[Go home to sleep and go to work tomorrow|Work]]\n<<else>>\s\n[[Go home for the day.|Night]]\s\n<<set $whichDay +=1>>\n<<endif>>

<<if $whichDay > $maxDays>>\s\n<<display Finale>>\s\n<<else>>\s\n<<set $isNight to true>>\s\n<<if $landed is false>>\s\n<<once>>You arrive at the station orbiting Kwan'thelth. You stay in a Home Pod, which is basically just for sleeping. It was fabricated to galactic standards, so it has everything you need.\n\n<<endonce>>\s\nWork begins tomorrow, so you can spend tonight how you'd like:\n\n<<if $explored>>\s\n[[Social Pod]]\n[[Learning Pod]]\n[[Entertainment Pod]]\n<<else>>\s\n[[Go exploring|Explore]]\n<<endif>>\s\n\n[[Just sleep and go to work.|Work]]\s\n<<else>>\s\n\s\n!It's night <<print $whichDay>> of <<print $maxDays>>. Time flies.\nYou're on the station orbiting Kwan'thelth. \nHow will you spend it?\n\n[[Social Pod]]\n[[Learning Pod]]\n[[Entertainment Pod]]\n\n[[Just sleep and go to work.|Work]]\n\n<<endif>>\s\n\s\n<<display checkStats>>\n<<endif>>\n

Today you're teaching the youngest students the Ang-C alphabet. You've started them off by writing the characters a simple child would know, like <<print $placementQuizAnswer1>> and told them to try writing it down.\n\n<<continue "Time to take a look around.">>\s\nYou walk around, monitoring the kids. <<if $AngFluency >= 50>>Most of them seem to get it! (<<stat AngFluency +4)<<else>>Only a couple of them seem to know what's going on. (<<stat AngFluency -4>>)<<endif>>\n\n<<continue "Looks like one boy needs some help.">>\s\nYou walk over to one boy who seems to be <<replace>>struggling<<gains>> (<<stat Morality +2>>)<<endreplace>>. You show him that the ball goes on the left side of the stick.\n\n<<continue "What's that sound?!">>\s\nAn alarm begins blasting.\n\n<<continue "Uh-oh.">>\s\nAn automated message begins speaking, repeating something about <<mword 8>>, <<if $MoounFluency >= 15>>which means a poison gas storm is incoming.<<else>>and you have no idea what that means.<<endif>> The students all stand up and make way for the doors.\n\n<<continue "Better follow them out.">>\s\nYou're the last one out the door. As you exit, you see one of the local Kwan'thelth teachers, guiding them somewhere. She calmly tells you <<mword 4>>, <<if $MoounFluency >20>>it's just a drill (<<stat Stamina +7>>)<<else>>which might as well be gibberish. Why can't she just speak Ang-C? (<<stat Morality -4>>)<<endif>> She gestures that you should stay in your room alone.\n\n<<continue "I'm sure it'll be over soon.">>\s\n\n<<stat AngFluency +2>>\n<<stat MoounFluency +1>>\n<<stat Stamina -3>>\n\n<<display goHome>>

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

Some of your friends back on Earth want to play an online game with you.\n\n<<continue "Oh, awesome!">>\s\nIt's been a while. Even though you're just cracking wise on voice comms and blasting heads, it's nice to digitally hold hands and go for a walk through the killing fields together like this.\n\n<<continue "...Uh, right...">>\s\nUnfortunately it can't last too long. Being lightyears away from home, the connection is pretty bad.\n\n<<continue "It's like 8 minute ping at least.">>\s\nYou give up after a short while, and <<replace>>just idly listen in<<becomes>>actively listen (<<stat AngFluency +5>>)<<endreplace>> to their conversation.\n\n<<continue "That was relaxing.">>\s\n<<stat Stamina +8>>\n<<stat AngFluency -1>>\n<<stat MoounFluency -2>>\n<<stat Morality -2>>\n<<stat Discipline -4>>\n\n<<display goHome>>

!TEACH ABROAD\n\nis a short game about being a young, dumb cog in a galactic lingual colonization machine.\n\n![[Please Play|Intro]]\n\n/%<<print $allAngLetters>>%/\s\n/%<<print $allMooLetters>>%/\s\n\nCreated for the wonderful:\n[img[tojam13_tagline][https://twitter.com/torontogamejam]]\nBy the terrible [[@CBaragar|https://twitter.com/cbaragar]]

<<revision goNight>>\s\nIn the social pod, you can hang out with the other Ang-C teachers.\n\nYou can also expect the following personal growth:\n<<good "Ang-C Fluency +">>\n<<good "Morality +">>\n<<bad "Stamina -">>\n\n[[I don't want to do this tonight.|Night]]\n\n<<revise goNight "I'll do something social!">>\s\n<<if $SocialPods.length is 0>>There are no more social events.\n<<display goHome>>\s\n<<else>>\s\n<<set n to random(0,$SocialPods.length-1)>>\s\n<<set $destination to $SocialPods[n]>>\s\n<<set $SocialPods.splice(n,1)>>\s\n<<endif>>\s\n<<becomes>>\s\n<<set $isNight to true>>\s\n<<display $destination>>\s\n<<endrevision>>\s\n<<display checkStats>>

The kids tell you there's a special lunch today.\n\n<<continue "What is it?">>\s\nThey say it's '<<mword 6>>' <<if $MoounFluency >= 15>>which you know means 'Red Vegetable Parts' <<else>>and you have no idea what that means.<<endif>>\n\n<<continue "Alright, let's eat it.">>\s\nThe cafeteria is busy, but you notice the signs around that probably promote healthy living and hand washing. They love the hand washing.\n\n<<continue "Let's eat!">>\s\nThe dish looks like mashed up bones swimming in blood. There's a really suspicious smell coming from it.\n\n<<continue "Take a bite.">>\s\nIt tastes oddly familiar. It's actually not bad!\n\n<<stat Stamina +3>>\n<<stat MoounFluency +1>>\n\n<<display goHome>>

There's a traditional Kwan'thelth music class tonight.\n\n<<continue "Sounds awesome!">>\s\nIt's awesome, there's a bunch of stringed instruments, a few things that look like the <<aword 8>>s from back home, and a really neat hourglass-shaped drum with tassles and lots of colors.\n\n<<continue "I sit at the drum, of course.">>\s\nThe teacher, a Kwan'thelth native, walks in and starts giving instructions in Moo'un. <<if $MoounFluency >=30>>You grasp most of it! (<<stat MoounFluency +10>>)<<else if $MoounFluency >=10>>You pick up a few words of it. (<<stat MoounFluency +5>>)<<endif>>\n\n<<continue "Follow along as best I can.">>\s\nIt's actually a bit of a workout! (<<stat Stamina +5>>)\nBy the end of it, you've memorized a simple traditional rhythm that's more emotional than anything a procedural DJ could produce.\n\n<<continue "That was fun.">>\s\nDrumming's always fun, even if you are new to it.\n\n<<stat MoounFluency +6>>\n<<stat Discipline +3>>\n<<stat Stamina -4>>\n\n<<display goHome>>

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There's a pod party. You haven't been to one of those in...\n\n<<continue "A long time.">>\s\nA long time, but it'll be good to see how everyone's coping with life abroad.\n\n<<continue "What's it like for everyone?">>\s\nIt seems like everyone else has a lot more work to do than you do, and there's a few complaints about the food and culture.\n\n<<continue "Let's lighten the mood!">>\s\nYou reassure everyone that they're doing a great job, and that the kids must be happy to have teachers that work so hard.\n\n<<continue "Crank some bangers and get funky.">>\s\nGood music fixes everything.\n\n<<stat AngFluency +5>>\n<<stat Morality +4>>\n<<stat Stamina -6>>\n\n<<display goHome>>

It's the end of your stay at Kwan'thelth. \n\n<<continue "Yeah.">>\s\nYou've taught a lot. \n\n<<continue "I have.">>\s\nWhat have you learned?\n\nTell me on Twitter at [[@CBaragar|https://twitter.com/cbaragar]]. Even if it's mean. I still love you.\n\n<<display showStats>>

There's an assembly today.\n\n<<continue "Let's go!">>\s\nFor students only.\n\n<<continue "Oh.">>\s\nSo you have to stay in your classroom.\n\n<<continue "For how long?">>\s\nNobody's told you for how long.\n\n<<continue "Better make the best of my time!">>\s\nAll your plans are complete for the next two weeks.\n\n<<continue "So...">>\s\nSo you spend the day watching videos about politics.\n\n<<continue "Rough.">>\s\n<<stat Discipline -4>>\n<<stat Stamina +1>>\n<<stat Morality +3>>\n\n<<display goHome>>\n

/%1 Length: <<print $placementQuizAnswer1.length>>%/\s\n<<if $placementQuizAnswer1.length >= 5>>\s\n<<set $AngFluency to $AngFluency+=10>>\s\n<<set $MoounFluency to $MoounFluency -=5>>\s\n<<set $Discipline to $Discipline+=10>>\s\n<<else>>\s\n<<set $AngFluency to $AngFluency-=10>>\s\n<<set $Discipline to $Discipline-=5>>\s\n<<endif>>\s\n\s\n/%2 whatever/placeholder/upgrade: <<print $placementQuizAnswer2>>%/\s\n<<if $placementQuizAnswer2 is "whatever">>\s\n<<set $Morality to $Morality += 10>>\s\n<<else if $placementQuizAnswer2 is "placeholder">>\s\n<<set $AngFluency to $AngFluency += 10>>\s\n<<else if $placementQuizAnswer2 is "upgrade">>\s\n<<set $Discipline to $Discipline -= 10>>\s\n<<endif>>\s\n\s\n/%3 wrong/probably right: <<print $placementQuizAnswer3>>%/\s\n<<if $placementQuizAnswer3 is "probably right">>\s\n<<set $AngFluency to $AngFluency +=10>>\s\n<<else if $placementQuizAnswer3 is "wrong">>\s\n<<set $AngFluency to $AngFluency -=5>>\s\n<<endif>>\s\n\s\n/%4 want/went/am: <<print $placementQuizAnswer4>>%/\s\n<<if $placementQuizAnswer4 is "want">>\s\n<<set $AngFluency to $AngFluency -=15>>\s\n<<else if $placementQuizAnswer4 is "went">>\s\n<<set $AngFluency to $AngFluency +=10>>\s\n<<else if $placementQuizAnswer4 is "am">>\s\n<<set $AngFluency to $AngFluency -=15>>\s\n<<endif>>\s\n\s\n/%5 save it for later: <<print $placementQuizAnswer5>>%/\s\n\s\nGrading complete! You've received a final mark of 76%. That's better than most. \n\n<<continue "Hey neat!">>\s\n\s\n/%<<display showStats>>%/\s\n\s\nYou will be placed at Kwan'thleth. \s\n<<replace "(What's that?)">>It's an eastern-octant moon. Their first language is Moo'un. \s\n<<replace "(What's that?) ">>It's a language that's about as different as you can get from Ang-C, and only about 3% of the galaxy can speak it. \s\n<<replace "(This is gonna be tough.) ">>It's going to be tough for you to adapt and for your students to learn from you. \s\n<<endreplace>>\s\n<<endreplace>>It's totally a safe place. \s\n<<replace "(Totally totally?)">>Well, as long as you're aware of the rare poison gas storms you'll be fine. \s\n<<replace "(And the locals are hostile too, right?)">> You'll be happy to know that the inhabitants are peace loving, warm and treat even foreigners as family. \s\n<<replace "(All of them?)">>Not all of them, I mean, how could a whole world of people be exactly the same? That's like, a \s\n stereotype. Just exercise caution near the north-south border. \s\n<<replace "(Uh-oh.)">> There's a bit of a war going on, but there hasn't been any active fighting in almost a century. You'll be fine.\s\n<<endreplace>>\s\n<<endreplace>>\s\n<<endreplace>>\s\n<<endreplace>> You will be teaching your native language, Ang-<span class="importantFact">C</span>,\s\n<<replace " (Remind me what that is.)">> the most <span class="importantFact">c</span>ommon spoken descendant of Earth English, \s\n<<endreplace>> to children there.\s\n<<endreplace>> \n\n...Ready?\n\n[[Let's Teach Abroad!|Night]]

<<revision goNight>>\s\nIn the entertainment pod, you can spend some time relaxing with the familiar media comforts of home.\n\nYou can also expect the following personal growth:\n<<good "Stamina +">>\n<<bad "Ang-C Fluency -">>\n<<bad "Moo'un Fluency -">>\n<<bad "Morality -">>\n<<bad "Discipline -">>\n\n[[I don't want to do this tonight.|Night]]\n\n<<revise goNight "I'll do something fun!">>\s\n<<if $FunPods.length is 0>>You've dried up your queue of entertainment.\n<<display goHome>>\s\n<<else>>\s\n<<set n to random(0,$FunPods.length-1)>>\s\n<<set $destination to $FunPods[n]>>\s\n<<set $FunPods.splice(n,1)>>\s\n<<endif>>\s\n<<becomes>>\s\n<<set $isNight to true>>\s\n<<display $destination>>\s\n<<endrevision>>\s\n<<display checkStats>>

<<if $explored is false>>\s\nYou explored and found the other pods. There's a Social Pod, a Learning Pod, and an Entertainment Pod. Everything you need to be a fully realised human being!\s\n<<set $explored to true>>\n\n[[I should check these out!|Night]]\n<<else>>\s\n[[I don't want to do this tonight.|Night]]\n\s\n<<endif>>\s\n\s\n<<display checkStats>>

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There's a bunch of tables set up for an open freetalking language exchange. There's a whole bunch of people, and you can hear that most of them are pretty fluent in both Moo'un and Ang-C. <<if $MoounFluency <= 10>>You're a little jealous.<<endif>>\n\n<<continue "Intimidating.">>\s\nBefore you can really think about how worried you are, an older Kwan'thelth man waves you over. He excitedly greets you with "<<print $placementQuizAnswer5>>" and invites you to sit down.\n\n<<continue "He smells weird.">>\s\nYou exchange basic greetings and then move on to small talk. You pick up that he's trying to ask about the weather surface-side and that '<<mword 3>>' means a poison-gas storm. He's lived through <<replace>>a lot of them.<<gains>> and he gives you some tips on making it through one (<<stat Stamina +4>>)<<endreplace>>\n\n<<continue "He's actually pretty cool.">>\s\nThe conversation makes its way to interests and he name drops his favourite Earth actress, S<<aword 5>> A<<aword 3>>. You've seen all her films and they're genius.\n\n<<continue "Welp, see ya.">>\s\nYou bid him farewell in Moo'un, saying "<<mword 7>>".\n\n<<stat MoounFluency +8>>\n<<stat Discipline +5>>\n<<stat Stamina -6>>\n\n<<display goHome>>

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<<if $AngFluency<0>><<set $AngFluency to 0>><<endif>>\s\n<<if $MoounFluency<0>><<set $MoounFluency to 0>><<endif>>\s\n<<if $Morality<0>><<set $Morality to 0>><<endif>>\s\n<<if $Stamina<0>><<set $Stamina to 0>><<endif>>\s\n<<if $Discipline<0>><<set $Discipline to 0>><<endif>>\s\n\s\n<<if $AngFluency>100>><<set $AngFluency to 100>><<endif>>\s\n<<if $MoounFluency>100>><<set $MoounFluency to 100>><<endif>>\s\n<<if $Morality>100>><<set $Morality to 100>><<endif>>\s\n<<if $Stamina>100>><<set $Stamina to 100>><<endif>>\s\n<<if $Discipline>100>><<set $Discipline to 100>><<endif>>\s\n\n------------------------\n<<revert checkStats "Close">>\nAng-C Fluency: <<print $AngFluency>>\n<<if $landed>>Moo'un Fluency: <<print $MoounFluency>>\n<<endif>>\s\nMorality: <<print $Morality>>\nStamina: <<print $Stamina>>\nDiscipline: <<print $Discipline>>\n------------------------\n

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There's a megacity under the satellite's orbit tonight. The other teachers want to go to a dance club.\n\n<<continue "That's not really my thing.">>\s\nYou push yourself to go, with the hope that it'll be a cultural experience.\n\n<<continue "So what's it like dancing on Kwan'thelth?">>\s\nSlow your roll, huggable. There's a long transit down to the surface and you've got to fill that time somehow.\n\n<<continue "What did everyone do back home?">>\s\nEveryone starts talking about how they spent their time back home. Some had gotten bored of making art and consuming media. Others wanted to go abroad to become inspired.\n\n<<continue "What does that even mean?">>\s\nDon't worry, nobody knows what that means. You've arrived at the club.\n\n<<continue "There's lot of people here.">>\s\nThe crowds in here are thick and intimidating. The procedural music machine, named DJ-DGenerate, is pumping out a solid polyrhythm.\n<<playsound "audio/polyrhythm.mp3">>\n\s\n<<continue "This is a real toe-tapper.">>\s\nIt's scientifically determined to get your body moving, and that's what everybody but you is doing.\n\n<<continue "Take it all in.">>\s\nYou find a second-floor area to look down on the throng. Everyone else is twirling and grinding and <<if $AngFluency >=60>>kwerking and smupting<<else>>other things<<endif>>, with the odd circle forming around a breakdancer. This would probably be fun to participate in.\n\n<<continue "Why am I not in there?!">>\s\n<table style="width:100%">\s\n<tr>\s\n<td>Just doesn't look like the kind of thing you could do.\n<<revision clubText>>\n<<revise clubText "Might as well just leave.">>\s\n<<becomes>>Forgetting to really tell anyone that you're heading out, you make for the door to catch the next elevator up to the station.\n\n<<revise clubText "Well at least I didn't ruin anyone else's night.">>\s\n<<gains>>\s\n<<stat AngFluency +3>>\n<<stat Morality +3>>\n<<stat Stamina -6>>\n<<stat Discipline +1>>\n\n<<display goHome>>\n<<endrevision>>\n</td>\n<td>When I say 'Hell', you say 'Yeah!'<<timedinsert 2s>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<gains>>\nHell<<endtimedinsert>>\n</td>\n</tr>\n</table>\n\n\n

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Number(s.slice(0,-2))||0;\n}else{if(s.slice(-1).toLowerCase()=="s"){return Number(s.slice(0,-1))*1000||0;}}}throwError(g,s+" isn't a CSS time unit");return 0;}var tm=cssTimeUnit(f[0]);var s=state.history[0].passage.title;\nsetTimeout(function timefn(){if(state.history[0].passage.title==s){var done=!revise("revise",m);if(!done){setTimeout(timefn,tm);}}},tm);}function hoverSetup(m){var fn,noMouseEnter=(document.head.onmouseenter!==null),m1=m.children[0],m2=m.children[1],gains=m2.className.indexOf("gains")>-1;\nif(!m1||!m2){return;}m1.onmouseenter=function(e){var efp=document.elementFromPoint(e.clientX,e.clientY);while(efp&&efp!==this){efp=efp.parentNode;}if(!efp){return;\n}if(this.getAttribute("data-enabled")!="false"){revise("revise",this.parentNode);}};m2.onmouseleave=function(e){var efp=document.elementFromPoint(e.clientX,e.clientY);\nwhile(efp&&efp!==this){efp=efp.parentNode;}if(efp){return;}if(this.getAttribute("data-enabled")!="false"){revise("revert",this.parentNode);}};if(gains){m1.onmouseleave=m2.onmouseleave;\n}if(noMouseEnter){fn=function(n){return function(e){if(!event.relatedTarget||(event.relatedTarget!=this&&!(this.compareDocumentPosition(event.relatedTarget)&Node.DOCUMENT_POSITION_CONTAINED_BY))){this[n]();\n}};};m1.onmouseover=fn("onmouseenter");m2.onmouseout=fn("onmouseleave");if(gains){m1.onmouseout=m2.onmouseout;}}m=null;}function mouseSetup(m){var evt=(document.head.onmouseenter===null?"onmouseenter":"onmouseover");\nm[evt]=function(){var done=!revise("revise",this);if(done){this[evt]=null;}};m=null;}function linkSetup(m,g,f){var l=Wikifier.createInternalLink(),p=m.parentNode;\nl.className="internalLink replaceLink";p.insertBefore(l,m);l.insertBefore(m,null);l.onclick=function(){var p,done=false;if(m&&m.parentNode==this){done=!revise("revise",m);\nscrollWindowTo(m);}if(done){this.parentNode.insertBefore(m,this);this.parentNode.removeChild(this);}};l=null;}function visitedSetup(m,g,f){var i,done,shv=state.history[0].variables,os="once seen",d=(m.firstChild&&(this.flavour=="insert"?m.firstChild.nextSibling:m.firstChild).tweecode);\nshv[os]=shv[os]||{};if(d&&!shv[os].hasOwnProperty(d)){shv[os][d]=1;}else{for(i=shv[os][d];i>0&&!done;i--){done=!revise("revise",m,true);}if(shv[os].hasOwnProperty(d)){shv[os][d]+=1;\n}}}[{name:"insert",flavour:"insert",trigger:"link",setup:linkSetup},{name:"timedinsert",flavour:"insert",trigger:"time",setup:timeSetup},{name:"insertion",flavour:"insert",trigger:"revisemacro",setup:revisionSetup},{name:"later",flavour:"insert",trigger:"visited",setup:visitedSetup},{name:"keyinsert",flavour:"insert",trigger:"key",setup:keySetup},{name:"replace",flavour:"replace",trigger:"link",setup:linkSetup},{name:"timedreplace",flavour:"replace",trigger:"time",setup:timeSetup},{name:"mousereplace",flavour:"replace",trigger:"mouse",setup:mouseSetup},{name:"hoverreplace",flavour:"replace",trigger:"hover",setup:hoverSetup},{name:"revision",flavour:"replace",trigger:"revisemacro",setup:revisionSetup},{name:"keyreplace",flavour:"replace",trigger:"key",setup:keySetup},{name:"timedremove",flavour:"remove",trigger:"time",setup:timeSetup},{name:"mouseremove",flavour:"remove",trigger:"mouse",setup:mouseSetup},{name:"hoverremove",flavour:"remove",trigger:"hover",setup:hoverSetup},{name:"removal",flavour:"remove",trigger:"revisemacro",setup:revisionSetup},{name:"once",flavour:"remove",trigger:"visited",setup:visitedSetup},{name:"keyremove",flavour:"remove",trigger:"key",setup:keySetup},{name:"continue",flavour:"continue",trigger:"link",setup:linkSetup},{name:"timedcontinue",flavour:"continue",trigger:"time",setup:timeSetup},{name:"mousecontinue",flavour:"continue",trigger:"mouse",setup:mouseSetup},{name:"keycontinue",flavour:"continue",trigger:"key",setup:keySetup},{name:"cycle",flavour:"cycle",trigger:"revisemacro",setup:revisionSetup},{name:"mousecycle",flavour:"cycle",trigger:"mouse",setup:mouseSetup},{name:"timedcycle",flavour:"cycle",trigger:"time",setup:timeSetup},{name:"keycycle",flavour:"replace",trigger:"key",setup:keySetup}].forEach(function(e){e.handler=revisionSpanHandler;\ne.shorthand=(["link","mouse","hover"].indexOf(e.trigger)>-1);macros[e.name]=e;macros["end"+e.name]=nullobj;begintags.push(e.name);endtags.push("end"+e.name);});function insideDepartingSpan(elem){var r=elem.parentNode;\nwhile(!r.classList.contains("passage")){if(r.classList.contains("revision-span-out")){return true;}r=r.parentNode;}}function reviseAll(rt,rname){var rall=document.querySelectorAll(".passage [data-flavour]."+rname),ret=false;\nfor(var i=0;i<rall.length;i++){if(!insideDepartingSpan(rall[i])){ret=revise(rt,rall[i])||ret;}}return ret;}function revise(rt,r,notrans){var ind2,curr,next,ind=-1,rev=(rt=="revert"),rnd=(rt.indexOf("random")>-1),fl=r.getAttribute("data-flavour"),rc=r.childNodes,cyc=(fl=="cycle"),rcl=rc.length-1;\nfunction doToGainerSpans(n,fn){for(var k=n-1;k>=0;k--){if(rc[k+1].classList.contains("gains")){fn(rc[k],notrans);}else{break;}}}for(var k=0;k<=rcl;k++){if(rc[k].getAttribute("data-enabled")=="true"){ind=k;\n}}if(rev){ind-=1;}curr=(ind>=0?rc[ind]:(cyc?rc[rcl]:null));ind2=ind;if(rnd){ind2=(ind+(Math.floor(Math.random()*rcl)))%rcl;}next=((ind2<rcl)?rc[ind2+1]:(cyc?rc[0]:null));\nvar docurr=(rev?showVer:hideVer);var donext=(rev?hideVer:showVer);var currfn=function(){if(!(next&&next.classList.contains("gains"))||rnd){docurr(curr,notrans);doToGainerSpans(ind,docurr,notrans);\n}};var nextfn=function(){donext(next,notrans);if(rnd){doToGainerSpans(ind2+1,donext,notrans);}};if(!rev){currfn();nextfn();}else{nextfn();currfn();}return(cyc?true:(rev?(ind>0):(ind2<rcl-1)));\n}macros.revert=macros.revise=macros.randomise=macros.randomize={handler:function(a,b,c){var l,rev,rname;function disableLink(l){l.style.display="none";}function enableLink(l){l.style.display="inline";\n}function updateLink(l){if(l.className.indexOf("random")>-1){enableLink(l);return;}var rall=document.querySelectorAll(".passage [data-flavour]."+rname),cannext,canprev,i,ind,r,fl;\nfor(i=0;i<rall.length;i++){r=rall[i],fl=r.getAttribute("data-flavour");if(insideDepartingSpan(r)){continue;}if(fl=="cycle"){cannext=canprev=true;}else{if(r.firstChild.getAttribute("data-enabled")==!1+""){canprev=true;\n}if(r.lastChild.getAttribute("data-enabled")==!1+""){cannext=true;}}}var can=(l.classList.contains("revert")?canprev:cannext);(can?enableLink:disableLink)(l);}function toggleText(w){w.classList.toggle(rl+"Enabled");\nw.classList.toggle(rl+"Disabled");w.style.display=((w.style.display=="none")?"inline":"none");}var rl="reviseLink";if(c.length<2){throwError(a,b+" macro needs 2 parameters");\nreturn;}rname=c.shift().replace(" ","_");l=Wikifier.createInternalLink(a,null);l.className="internalLink "+rl+" "+rl+"_"+rname+" "+b;var v="";var end=false;var out=false;\nif(c.length>1&&c[0][0]=="$"){v=c[0].slice(1);c.shift();}switch(c[c.length-1]){case"end":end=true;c.pop();break;case"out":out=true;c.pop();break;}var h=state.history[0].variables;\nfor(var i=0;i<c.length;i++){var on=(i==Math.max(c.indexOf(h[v]),0));var d=insertElement(null,"span",null,rl+((on)?"En":"Dis")+"abled");if(on){h[v]=c[i];l.setAttribute("data-cycle",i);\n}else{d.style.display="none";}insertText(d,c[i]);l.appendChild(d);}l.onclick=function(){reviseAll(b,rname);var t=this.childNodes,u=this.getAttribute("data-cycle")-0,m=t.length,n,lall,i;\nif((end||out)&&u>=m-(end?2:1)){if(end){n=this.removeChild(t[u+1]||t[u]);n.className=rl+"End";n.style.display="inline";this.parentNode.replaceChild(n,this);}else{this.parentNode.removeChild(this);\nreturn;}}else{toggleText(t[u]);u=(u+1)%m;if(v){h[v]=c[u];}toggleText(t[u]);this.setAttribute("data-cycle",u);}lall=document.getElementsByClassName(rl+"_"+rname);\nfor(i=0;i<lall.length;i++){updateLink(lall[i]);}};disableLink(l);setTimeout((function(l){return function(){updateLink(l);};}(l)),1);l=null;}};macros.mouserevise=macros.hoverrevise={handler:function(a,b,c,d){var endtags=["end"+b],evt=(window.onmouseenter===null?"onmouseenter":"onmouseover"),t=tagcontents(d,[b],endtags,endtags,d.source.indexOf(">>",d.matchStart)+2);\nif(t){var rname=c[0].replace(" ","_"),h=insertElement(a,"span",null,"hoverrevise hoverrevise_"+rname),f=function(){var done=!reviseAll("revise",rname);if(b!="hoverrevise"&&done){this[evt]=null;\n}};new Wikifier(h,t[0]);if(b=="hoverrevise"){h.onmouseover=f;h.onmouseout=function(){reviseAll("revert",rname);};}else{h[evt]=f;}h=null;}}};macros.instantrevise={handler:function(a,b,c,d){reviseAll("revise",c[0].replace(" ","_"));\n}};macros.endmouserevise=nullobj;macros.endhoverrevise=nullobj;}());

Teach Abroad

Today is going to be a fun day. You've planned a game for the kids.\n\n<<continue "Let's explain the game.">>\s\nThere's a bunch of stations around the room. Every station has a phrase written on it. The students will walk from one station to the next and when they meet at a station, they speak its phrase.\n\n<<continue "Is this really going to be fun for them?">>\s\nWe'll see. There's a prize of candy from Earth: real chocolate flavouring powder.\n\n<<continue "Let's play!">>\s\nOh heavens no, you don't play, you supervise.\n\n<<continue "Let's supervise!">>\s\nFive minutes into the game, two kids start staring each other down aggressively. They've said a few <<replace>>angry words<<becomes>>swear words (<<stat MoounFluency +2>>)<<endreplace>>.\n\n<<continue "Tell them to ignore each other and play the game.">>\s\nThey don't understand you, or they do, and they're ignoring you.\n\n<<continue>>Ask someone for help.<<endcontinue>>\s\nBefore you can get out of the room, the two start fighting. It's over as soon as it's begun, and one of the kids is crying as the other just stands there.\n\nThere's nothing you could've done differently. You tried your best. No one will blame you for this.\n\n<<continue "It's as if I wasn't even there.">>\s\n<<stat Stamina -3>>\n<<stat Morality -1>>\n\n<<display goHome>>\s\n

The kids have some questions for you, but they're not very good at queueing up and waiting their turn.\n\n<<continue "Ok...">>\s\nSo go ahead and click on the real Ang-C words as they come.\n\n<<continue "Oh god...">>\s\n<<timedreplace 50s>>\s\n<table style="width:300px">\s\n<tr>\s\n<td>\s\n</td>\s\n<td>\s\n/%<<timedreplace 0.9s>>\s\n<<aword 6>>\n<<becomes>>\s\n<<mword 6>>\n<<becomes>>\s\n<<mword 6>>\n<<endtimedreplace>>\s%/\n</td>\s\n<td>\s\n/%<<timedreplace 1.3s>>\s\nhi\s\n<<becomes>>\s\n<<mword 6>>\n<<becomes>>\s\n<<aword 6>>\n<<endtimedreplace>>\s%/\n</td>\s\n</tr>\s\n</table>\s\n<<becomes>>\s\n<<stat Discipline +1>>\n\n<<display goHome>>\n<<endtimedreplace>>\n\n<<display showStats>>

macros['good'] =\n{\n\thandler: function(place, macroName, params, parser)\n\t{\n\t\tvar s = params[0];\n\t\tnew Wikifier (place, "<span class=\s"goodThing\s">" + s + "</span>");\n\t}\n}\nmacros['bad'] =\n{\n\thandler: function(place, macroName, params, parser)\n\t{\n\t\tvar s = params[0];\n\t\tnew Wikifier (place, "<span class=\s"badThing\s">" + s + "</span>");\n\t}\n}

jquery:on\nhash:on\nbookmark:on\nmodernizr:off\nundo:off\nobfuscate:off\nexitprompt:off\nblankcss:on\n

.transition-in .char {\n\topacity: 0;\n}\n.char:nth-child(12n) {\n\ttransition: 2s;\n\t-webkit-transition: 2s;\n}\n.char:nth-child(12n+1) {\n\ttransition: 3s;\n\t-webkit-transition: 3s;\n}\n.char:nth-child(12n+2) {\n\ttransition: 1s;\n\t-webkit-transition: 1s;\n}\n.char:nth-child(12n+3) {\n\ttransition: 0.5s;\n\t-webkit-transition: 0.5s;\n}\n.char:nth-child(12n+4) {\n\ttransition: 1.5s;\n\t-webkit-transition: 1.5s;\n}\n.char:nth-child(12n+5) {\n\ttransition: 3.25s;\n\t-webkit-transition: 3.25s;\n}\n.char:nth-child(12n+6) {\n\ttransition: 2.5s;\n\t-webkit-transition: 2.5s;\n}\n.char:nth-child(12n+7) {\n\ttransition: 0.25s;\n\t-webkit-transition: 0.25s;\n}\n.char:nth-child(12n+8) {\n\ttransition: 2.75s;\n\t-webkit-transition: 2.75s;\n}\n.char:nth-child(12n+9) {\n\ttransition: 1.25s;\n\t-webkit-transition: 1.25s;\n}\n.char:nth-child(12n+10) {\n\ttransition: 1.75s;\n\t-webkit-transition: 1.75s;\n}\n.char:nth-child(12n+11) {\n\ttransition: 0.75s;\n\t-webkit-transition: 0.75s;\n}\n.char {\n\topacity: 1;\n\tposition:relative;\n}\n.transition-out {\n\tdisplay:none;\n}

<<set $landed to true>>\s\n<<set $isNight to false>>\s\n<<if $WorkDays.length is 0>>There's no work.\n<<display goHome>>\n<<else>>\s\nYour commute to the surface is long and mostly uneventful.\n\n<<set n to random(0,$WorkDays.length-1)>>\s\n<<display $WorkDays[n]>>\s\n<<set $WorkDays.splice(n,1)>>\s\n<<endif>>\s\n<<display checkStats>>

You half pay attention, half daydream as the podcast plays.\n\n"OPEN UP! TIME FOR AN INFODUMP"\n\n"... we looked at seven studies and most of them agreed..."\n\n"... some people actually don't like being referred to as<<replace>>...<<gains>> a <<aword 7>> anymore... (<<stat AngFluency +7>>)<<endreplace>>"\n\n"... and that's actually the most common one on Earth..."\n\n<<continue "I think I learned something...">>\s\n<<stat Stamina +8>>\n<<stat AngFluency -1>>\n<<stat MoounFluency -2>>\n<<stat Morality -2>>\n<<stat Discipline -4>>\n\n<<display goHome>>

Tonight you're sitting down with a nice cozy video game.\n\n<<continue "I sure am!">>\s\n<<if $MoounFluency >= 30>>\s\nThis time, you thought you'd try playing something in Moo'un. It's tough and slow, but you learn a few words along the way.\n<<stat MoounFluency +7>>\s\n<<endif>>\s\n\s\nThere's a really neat movement mechanic in this one, but as with a lot of games, you just end up killing a whole lot of things in it.\n\nLooks like even winning is for losers.\n\n<<continue "I'll finish it later.">>\n\s\n<<stat Stamina +8>>\n<<stat AngFluency -1>>\n<<stat MoounFluency -2>>\n<<stat Morality -2>>\n<<stat Discipline -4>>\n\n<<display goHome>>

You half pay attention, half daydream as the podcast plays.\n\n"Today on Internet Detectives..."\n\n"...we went to the source..."\n\n"...found that it wasn't the computer at all<<replace>>...<<gains>> but was the <<aword 7>> they kept next to it... (<<stat AngFluency +7>>)<<endreplace>>"\n\n"...never went to that VR room again..."\n\n<<continue "I think I learned something...">>\s\n<<stat Stamina +8>>\n<<stat AngFluency -1>>\n<<stat MoounFluency -2>>\n<<stat Morality -2>>\n<<stat Discipline -4>>\n\n<<display goHome>>

//requires jquery

.transition-in .char {\n\tcolor:transparent !important;\n\ttext-shadow: #fff 0 0 1em;\n}\n.passage:not(.transition-out) .char {\n\ttransition: 2s;\n\t-webkit-transition: 2s;\n}\n.transition-out {\n\tdisplay:none;\n}

macros['fastword'] =\n{\n\thandler: function(place, macroName, params, parser)\n\t{\n\t\tvar num = params[0];\n\t\tvar r = Math.floor((Math.random()*7)+3);\n\t\tnew Wikifier (place, "<<timedreplace>>");\n\t\tnew Wikifier (place, "<<mword 6>><<becomes>>");\n\t\tfor( var i = 0; i < num; i++ ) \n\t\t{\n\t\t\tnew Wikifier (place, "<<mword 4>>");\n\t\t\tnew Wikifier (place, "<<becomes>>");\n\t\t}\n\t\tnew Wikifier (place, "<<endtimedreplace>>");\n\t}\n}

It's a class about writing in Moo'un. There's only a few people here, but everyone looks like they're friendly and ready to put in some effort learning.\n\n<<continue "Me too!">>\s\nYou grab a pencil and start trying to copy the instructor's handwriting.\n\nShe draws a large <<mword 1>> on the holoboard. It's hard to see because it's on a holographic whiteboard, but you copy it down quickly.\n\n<<continue "Slow steps move mountains.">>\s\nPretty soon you've moved on to some really useful words like <<mword 3>>, which means 'to eat', and <<mword 7>>, which means 'to eat while someone older than you is watching'.\n\n<<continue "That seems really useful!">>\s\n<<if $MoounFluency >= 20>>\s\nYou ask an advanced question about conjugating <<mword 6>> in the astral tense, and the teacher is impressed. She gives you a quick tip before moving on. (<<stat MoounFluency +8>>)\n<<else>>\s\nYou have a bit of difficulty with one of the words, but the instructor is kind enough to spend a few minutes walking you through it. (It's more of a wrist flick than a straight line). (<<stat MoounFluency +2>>)\n<<endif>>\n\n<<continue "That was really worth the night!">>\s\n\n<<stat MoounFluency +6>>\n<<stat Discipline +4>>\n<<stat Stamina -6>>\n\n<<display goHome>>

One of the Kwan'thelth teachers approaches you, probably a homeroom teacher. You've never seen him before, so you assume there's a big problem. <<continue "Uh-oh.">>He greets you with a hearty "<<print $placementQuizAnswer5>>" and with a big thumbs up and a smile, shouting in his best Ang-C, "You are greatest!"\n\n<<continue "Feels good.">>\s\n\s\n<<stat Discipline +2>>\n<<stat Stamina +3>>\n\n<<display goHome>>

/*!\n*\tjQuery - barIndicator\n*\tA jQuery plugin that helps you visualize percentage or absolute amounts with bars\n*\tAuthor: Ioannis Kapantzakis\n*\tReleased under the MIT License\n*/ \n;(function($, window, document, undefined) {\n\t\n\tvar pluginName = 'barIndicator';\n\t\n\tfunction Plugin(element, options, selector) {\n\t\tthis.el = element;\n\t\tthis.$el = $(element);\t\t\n\t\tthis.opt = $.extend({}, $.fn[pluginName].defaults, options );\n\t\tthis.selector = selector;\n\t\tthis._init();\n\t}\n\t\n\tPlugin.prototype = {\n\t\t\n\t\t//Private methods -------------------------------------------------------------------------------- //\n\t\t_init: function() {\n\t\t\tvar that = this;\n\t\t\tvar $el = that.$el;\n\t\t\tvar opt = that.opt;\n\t\t\tvar selector = that.selector;\n\t\t\tvar style = opt.style;\n\t\t\tvar data = opt.data;\n\t\t\tvar type = opt.numType;\n\t\t\tvar dec = opt.lbDecimals;\t\n\t\t\tvar $elID = $el.attr('id');\n\t\t\t\n\t\t\tvar orText = $el.text();\n\t\t\tvar orClass = $el.attr('class');\n\n\t\t\tif (data && !isNaN(data)) {\n\t\t\t\tvar num = parseFloat(data).toFixed(dec);\n\t\t\t} else if (data == false) {\n\t\t\t\tvar num = parseFloat(orText.replace(',','.')).toFixed(dec);\n\t\t\t} else {\n\t\t\t\tconsole.log('data are not valid');\n\t\t\t}\n\t\t\t//Get length object\n\t\t\tvar paramsLength = {\n\t\t\t\tthat: that,\n\t\t\t\tnum: num\n\t\t\t}\n\t\t\tvar lengthObj = Plugin.prototype._getLength.apply(this, [paramsLength]);\n\t\t\tvar lbNum = lengthObj.lbNum;\n\t\t\tvar barLength = lengthObj.barLength;\n\t\t\t\n\t\t\t//Add unique data-biID\n\t\t\tvar paramsID = {\n\t\t\t\tthat: that\n\t\t\t}\n\t\t\tvar unID = Plugin.prototype._getUniqueID.apply(this, [paramsID]);\n\t\t\t$el.attr('data-biID', unID);\n\t\t\t\n\t\t\t//Add classes (bi-wrp + theme class)\n\t\t\t$el.addClass(opt.wrpClass + ' ' + opt.theme).attr('data-lbNum', lbNum);\n\t\t\t\n\t\t\t//Store original attributes (applied on destroy)\n\t\t\t$.data($el, 'storedAttr', {\n\t\t\t\t'selector': selector,\n\t\t\t\t'orClass': orClass,\n\t\t\t\t'orText': orText,\n\t\t\t\t'barLength': barLength,\n\t\t\t\t'num': num,\n\t\t\t\t'lbNum': lbNum,\n\t\t\t\t'numType': type\n\t\t\t});\n\t\t\t//console.log($.data($el, 'storedAttr'));\n\t\t\t\n\t\t\t// Build and get inner html ------------------------------------------------------------------------------------------------- //\n\t\t\tvar numMin = opt.numMin;\n\t\t\tvar numMax = opt.numMax;\n\t\t\tvar numMinLabel = opt.numMinLabel;\n\t\t\tvar numMaxLabel = opt.numMaxLabel;\n\t\t\tvar numMinLbLeft = (opt.numMinLbLeft && !isNaN(opt.numMinLbLeft)) ? opt.numMinLbLeft : '';\n\t\t\tvar numMaxLbRight = (opt.numMaxLbRight && !isNaN(opt.numMaxLbRight)) ? opt.numMaxLbRight : '';\n\t\t\tvar numMinLbTop = (opt.numMinLbTop && !isNaN(opt.numMinLbTop)) ? opt.numMinLbTop : '';\n\t\t\tvar numMaxLbTop = (opt.numMaxLbTop && !isNaN(opt.numMaxLbTop)) ? opt.numMaxLbTop : '';\n\t\t\tvar numLabelEdge = '';\n\t\t\tif (numMinLabel) {\n\t\t\t\tnumLabelEdge += '<span class="bi-labelEdge bi-edge-min" style="left:' + numMinLbLeft + 'px;top:' + numMinLbTop + 'px">' + numMin + '</span>';\n\t\t\t}\n\t\t\tif (numMaxLabel) {\n\t\t\t\tnumLabelEdge += '<span class="bi-labelEdge bi-edge-max" style="right:' + numMaxLbRight + 'px;top:' + numMaxLbTop + 'px">' + numMax + '</span>';\n\t\t\t}\n\t\t\tif (style == 'vertical') {\t\n\t\t\t\tvar lb = opt.vertLabelPos;\t\t\n\t\t\t\tvar w = opt.vertBarWidth;\n\t\t\t\tvar h = opt.vertBarHeight;\n\t\t\t\tvar elemH = $el.css('height');\n\t\t\t\tvar va = opt.vertLabelAlign;\t\t\t\t\n\t\t\t\t$el.addClass('bi-vertical');\n\t\t\t\t\n\t\t\t\tif (h == 'line') {\n\t\t\t\t\tvar bh = elemH;\n\t\t\t\t} else if (h.indexOf('%') != -1) {\n\t\t\t\t\t//Percent of line height\n\t\t\t\t\tvar bh = parseFloat(elemH) * (parseFloat(h.replace('%','')) / 100);\n\t\t\t\t} else if (h.indexOf('px') != -1) {\n\t\t\t\t\tvar bh = h.replace('px','');\n\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\tvar bar = '<div class="bi-bar" style="width:' + w + 'px;height:' + bh + '">' + numLabelEdge + '<div class="bi-barInner"></div></div>';\n\t\t\t\tif (lb == 'right') {\n\t\t\t\t\tvar label = '<span class="bi-label bi-label-r" style="vertical-align:' + va + '">' + lbNum + '</span>';\n\t\t\t\t\tvar inner = bar + label;\n\t\t\t\t} else if (lb == 'left') {\n\t\t\t\t\tvar label = '<span class="bi-label bi-label-l" style="vertical-align:' + va + '">' + lbNum + '</span>';\n\t\t\t\t\tvar inner = label + bar;\n\t\t\t\t}\n\t\t\t} else if (style == 'horizontal') {\n\t\t\t\tvar bh = opt.horBarHeight;\n\t\t\t\tvar lbPos = opt.horLabelPos;\n\t\t\t\tvar ttl = opt.horTitle;\n\t\t\t\t\t\t\t\t\n\t\t\t\tvar label = '<span class="bi-label">' + lbNum + '</span>';\n\t\t\t\tvar bar = '<div class="bi-bar" style="height:' + bh + 'px">' + numLabelEdge + '<div class="bi-barInner"></div></div>';\t\n\t\t\t\t\t\t\t\t\n\t\t\t\tswitch (lbPos) {\n\t\t\t\t\tcase 'topLeft':\n\t\t\t\t\t\tvar horPosClass = 'bi-hor-topLeft';\n\t\t\t\t\t\tvar inner = label + bar;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'topRight':\n\t\t\t\t\t\tvar horPosClass = 'bi-hor-topRight';\n\t\t\t\t\t\tvar inner = label + bar;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'left':\n\t\t\t\t\t\tvar horPosClass = 'bi-hor-left';\n\t\t\t\t\t\tvar inner = label + bar;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'right':\n\t\t\t\t\t\tvar horPosClass = 'bi-hor-right';\n\t\t\t\t\t\tvar inner = bar + label;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\t$el.addClass('bi-horizontal ' + horPosClass);\n\t\t\t}\n\t\t\t\n\t\t\tif (style == 'horizontal' && ttl) {\n\t\t\t\tvar t = '';\n\t\t\t\tif (ttl == 'bi-title-id') {\n\t\t\t\t\tt = $el.attr('id');\n\t\t\t\t} else if (ttl == 'bi-data-title') {\n\t\t\t\t\tvar dataT = $el.attr('data-title');\n\t\t\t\t\tt = (dataT) ? dataT : 'noTitle';\n\t\t\t\t} else {\n\t\t\t\t\tt = ttl;\n\t\t\t\t}\n\t\t\t\tvar limSpan = '<span class="bi-limSpan"></span>';\n\t\t\t\tvar title = '<span class="bi-titleSpan bi-titleSpan-' + lbPos + '">' + t + ' ' + limSpan + '</span>';\n\t\t\t\tinner = title + inner;\n\t\t\t}\n\t\t\t\n\t\t\t//Append inner html\n\t\t\t$el.empty().append(inner);\n\t\t\tvar bi_bar = $el.find('.bi-barInner');\n\t\t\tvar bi_barHolder = $el.find('.bi-bar');\n\t\t\tvar bi_label = $el.find('.bi-label');\n\t\t\t//Trigger event\n\t\t\t$(document).trigger('bi.innerContentAppended', [$el]);\t\t\t\n\t\t\tif ($elID) {\n\t\t\t\t$(document).trigger('bi_' + $elID + '.innerContentAppended');\n\t\t\t}\n\t\t\t\n\t\t\tif (style == 'horizontal') {\n\t\t\t\tvar lbPos = opt.horLabelPos;\n\t\t\t\tif (lbPos == 'left' || lbPos == 'right') {\n\t\t\t\t\tvar wrpW = parseFloat($el.outerWidth());\n\t\t\t\t\tvar lbW = parseFloat($el.find('.bi-label').outerWidth());\n\t\t\t\t\tvar barWrpW = wrpW - lbW - 1;\n\t\t\t\t\tvar lbH = $el.find('.bi-label').outerHeight();\n\t\t\t\t\tvar topPos = (lbH - bh) / 2;\n\t\t\t\t\t//console.log(lbH + ' - ' + bh);\n\t\t\t\t\tbi_barHolder.css({'width':barWrpW + 'px','top':topPos + 'px'});\t\t\t\t\t\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t//ColorRange\n\t\t\tvar paramsColorRange = {\n\t\t\t\tthat: that,\n\t\t\t\tnum: num\n\t\t\t}\n\t\t\tvar lengthObj = Plugin.prototype._getColorRangeClass.apply(this, [paramsColorRange]);\n\t\t\t\n\t\t\t//Apply colours (if set in options)\n\t\t\tvar foreColor = opt.foreColor;\n\t\t\tvar backColor = opt.backColor;\n\t\t\tvar labelColor = opt.labelColor;\n\t\t\tif (foreColor) {\n\t\t\t\tvar fColor = Plugin.prototype._getColorValue.apply(this, [foreColor]);\n\t\t\t\tif (fColor) {\n\t\t\t\t\tbi_bar.css({'background-color':fColor});\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (backColor) {\n\t\t\t\tvar bColor = Plugin.prototype._getColorValue.apply(this, [backColor]);\n\t\t\t\tif (bColor) {\n\t\t\t\t\tbi_barHolder.css({'background-color':bColor});\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (labelColor) {\n\t\t\t\tvar lColor = Plugin.prototype._getColorValue.apply(this, [labelColor]);\n\t\t\t\tif (lColor) {\n\t\t\t\t\tbi_label.css({'color':lColor});\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t//Set label visibility and position (hover)\n\t\t\tswitch (opt.labelVisibility) {\n\t\t\t\tcase 'default':\n\t\t\t\t\tvar labelVisClass = 'bi-label-vis-default';\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'hover':\n\t\t\t\t\tvar labelVisClass = 'bi-label-vis-hover';\n\t\t\t\t\tvar posObj = opt.labelHoverPos;\n\t\t\t\t\tvar lb = $el.find('.bi-label');\n\t\t\t\t\tvar posString = '';\n\t\t\t\t\tfor(n in posObj) {\n\t\t\t\t\t\tswitch (n) {\n\t\t\t\t\t\t\tcase 'top':\n\t\t\t\t\t\t\tcase 'left':\n\t\t\t\t\t\t\tcase 'bottom':\n\t\t\t\t\t\t\tcase 'right':\n\t\t\t\t\t\t\t\tlb.css({n:posObj[n]});\n\t\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'hidden':\n\t\t\t\t\tvar labelVisClass = 'bi-label-vis-hidden';\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t\t$el.addClass(labelVisClass);\n\t\t\t\n\t\t\t//If average (avgActive) is set to true, first calculate the average and then set the milestones\n\t\t\tvar avg = opt.avgActive;\n\t\t\tif (avg) {\n\t\t\t\tvar paramsAvg = {\n\t\t\t\t\tthat: that\n\t\t\t\t}\n\t\t\t\tPlugin.prototype._getAverage.apply(this, [paramsAvg]);\n\t\t\t} else {\n\t\t\t\t//Set milestones\n\t\t\t\tvar mlst = opt.milestones; \n\t\t\t\tif (mlst && !$.isEmptyObject(mlst)) {\n\t\t\t\t\tvar paramsMlst = {\n\t\t\t\t\t\tthat: that\n\t\t\t\t\t}\n\t\t\t\t\tPlugin.prototype._getMilestones.apply(this, [paramsMlst]);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\t\t\t\n\t\t\t//Load bar -------------------------------------------------------------------------------------------------------- //\t\t\t\n\t\t\tif (opt.animation) {\n\t\t\t\tvar timeOut = opt.timeout;\n\t\t\t\tvar event = opt.triggerEvent;\n\t\t\t\tvar forceAnim = opt.forceAnim;\n\t\t\t\tvar forceDelay = opt.forceDelay;\n\t\t\t\tvar paramsAnim = {\n\t\t\t\t\tthat: that,\n\t\t\t\t\tbl: barLength\n\t\t\t\t}\n\t\t\t\tvar paramsCount = {\n\t\t\t\t\tthat: that,\n\t\t\t\t\ttarget: num\n\t\t\t\t}\n\t\t\t\tif (forceAnim == false) {\n\t\t\t\t\tif (event == 'load') {\n\t\t\t\t\t\t$(window).load(function() {\n\t\t\t\t\t\t\tPlugin.prototype._animateBar.apply(this, [paramsAnim]);\n\t\t\t\t\t\t\tif (opt.labelNumCount) {\n\t\t\t\t\t\t\t\tPlugin.prototype._labelNumCounter.apply(this, [paramsCount]);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t} else {\n\t\t\t\t\t\t$(document).on(event, function() {\n\t\t\t\t\t\t\tPlugin.prototype._animateBar.apply(this, [paramsAnim]);\n\t\t\t\t\t\t\tif (opt.labelNumCount) {\n\t\t\t\t\t\t\t\tPlugin.prototype._labelNumCounter.apply(this, [paramsCount]);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsetTimeout(function() {\n\t\t\t\t\t\tPlugin.prototype._animateBar.apply(this, [paramsAnim]);\n\t\t\t\t\t\tif (opt.labelNumCount) {\n\t\t\t\t\t\t\tPlugin.prototype._labelNumCounter.apply(this, [paramsCount]);\n\t\t\t\t\t\t}\n\t\t\t\t\t},forceDelay);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tvar style = opt.style;\n\t\t\t\tif (style == 'vertical') {\n\t\t\t\t\tbi_bar.css({'height': barLength});\n\t\t\t\t} else if (style == 'horizontal') {\n\t\t\t\t\tbi_bar.css({'width': barLength});\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\t\n\t\t_getUniqueID: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar wrpClass = opt.wrpClass;\n\t\t\t\tvar idnum = 0;\n\t\t\t\tvar nArr = [];\n\t\t\t\t$('.' + wrpClass).each(function() {\n\t\t\t\t\tvar dn = $(this).attr('data-biID');\n\t\t\t\t\tif (dn) {\n\t\t\t\t\t\tvar n = parseInt(dn.replace('bi_', ''));\n\t\t\t\t\t\tnArr.push(n);\n\t\t\t\t\t}\n\t\t\t\t});\t\t\t\t\t\n\t\t\t\tif (nArr.length > 0) {\n\t\t\t\t\tvar nmax = nArr.sort(function(a,b) { return b-a });\n\t\t\t\t\tidnum = parseInt(nmax) + 1;\n\t\t\t\t}\n\t\t\t\treturn 'bi_' + idnum;\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\t_getLength: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar type = opt.numType;\n\t\t\t\tvar num = par.num;\n\t\t\t\t\n\t\t\t\tif (type == 'percent') {\n\t\t\t\t\tvar lbNum = num + '%';\n\t\t\t\t\tvar barLength = num + '%';\n\t\t\t\t} else if (type == 'absolute') {\n\t\t\t\t\tvar lbNum = num;\n\t\t\t\t\tvar min = opt.numMin;\n\t\t\t\t\tvar max = opt.numMax;\n\t\t\t\t\tvar barLength = (num / (max - min)) * 100 + '%';\n\t\t\t\t}\n\t\t\t\tvar lengthObj = {\n\t\t\t\t\tlbNum: lbNum,\n\t\t\t\t\tbarLength: barLength\n\t\t\t\t};\n\t\t\t\t\n\t\t\t\treturn lengthObj;\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\t_getColorRangeClass: function(par) {\n\t\t\tif (par) {\t\t\t\t\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar num = par.num;\n\t\t\t\tvar $el = that.$el;\n\t\t\t\tvar bar = $el.find('.bi-barInner');\n\t\t\t\tvar opt = that.opt;\t\n\t\t\t\tvar barstyle = bar.attr('style');\n\t\t\t\tif (barstyle) {\n\t\t\t\t\tbar.attr('style', barstyle.replace('background-color', ''));\n\t\t\t\t}\n\t\t\t\tif (opt.colorRange) {\n\t\t\t\t\tvar limObj = opt.colorRangeLimits;\t\t\t\t\t\n\t\t\t\t\tvar allRangeClasses = '';\n\t\t\t\t\tfor (l in limObj) {\t\t\t\t\t\t\n\t\t\t\t\t\tvar rng = limObj[l].split('-');\n\t\t\t\t\t\tvar min = parseFloat(rng[0]);\n\t\t\t\t\t\tvar max = parseFloat(rng[1]);\n\t\t\t\t\t\t//If range colour is passed into the options object\t\t\t\t\t\t\n\t\t\t\t\t\tif (num >= min && num <= max) {\n\t\t\t\t\t\t\tvar rangeClass = 'bi-cRange-' + l;\n\t\t\t\t\t\t\tif (rng.length == 3) {\n\t\t\t\t\t\t\t\tvar rngColor = rng[2];\n\t\t\t\t\t\t\t\tvar rngCl = Plugin.prototype._getColorValue.apply(this, [rngColor]);\n\t\t\t\t\t\t\t\tif (typeof rngCl !== 'undefined') {\n\t\t\t\t\t\t\t\t\tbar.css({'background-color':rngCl});\n\t\t\t\t\t\t\t\t};\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tallRangeClasses += 'bi-cRange-' + l + ' ';\n\t\t\t\t\t}\t\t\t\t\t\n\t\t\t\t\t//Remove any bi-cRange-* class and add the appropriate one\n\t\t\t\t\t$el.removeClass(allRangeClasses).addClass(rangeClass);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\t_animateBar: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar $el = that.$el;\n\t\t\t\tvar $elID = $el.attr('id');\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar style = opt.style;\n\t\t\t\tvar at = opt.animTime;\n\t\t\t\tvar eas = opt.easing;\n\t\t\t\tvar tm = opt.timeOut;\n\t\t\t\tvar bar = that.$el.find('.bi-barInner');\n\t\t\t\tvar bl = par.bl;\n\t\t\t\tsetTimeout(function() {\n\t\t\t\t\tif (style == 'vertical') {\n\t\t\t\t\t\tif (par.reanim) {\n\t\t\t\t\t\t\tbar.css({'height':0}); \n\t\t\t\t\t\t}\n\t\t\t\t\t\tbar.animate({'height':bl},at,eas).queue(function() {\n\t\t\t\t\t\t\t$(document).trigger('bi.animationCompleted');\n\t\t\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '.animationCompleted');\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (par.reanim) {\n\t\t\t\t\t\t\t\t$(document).trigger('bi.reanimateBarStop'); \n\t\t\t\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '.reanimateBarStop');\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (par.loadData) {\n\t\t\t\t\t\t\t\t$(document).trigger('bi.loadDataStop');\n\t\t\t\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '.loadDataStop');\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t$(this).dequeue();\n\t\t\t\t\t\t});\n\t\t\t\t\t} else if (style == 'horizontal') {\n\t\t\t\t\t\tif (par.reanim) {\n\t\t\t\t\t\t\tbar.css({'width':0}); \n\t\t\t\t\t\t}\n\t\t\t\t\t\tbar.animate({'width':bl},at,eas).queue(function() {\n\t\t\t\t\t\t\t$(document).trigger('bi.animationCompleted');\n\t\t\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '.animationCompleted');\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (par.reanim) {\n\t\t\t\t\t\t\t\t$(document).trigger('bi.reanimateBarStop'); \n\t\t\t\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '.reanimateBarStop');\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (par.loadData) {\n\t\t\t\t\t\t\t\t$(document).trigger('bi.loadDataStop'); \n\t\t\t\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '.loadDataStop');\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t$(this).dequeue();\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t},tm);\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\t_labelNumCounter: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar $el = that.$el;\n\t\t\t\tvar label = $el.find('.bi-label');\n\t\t\t\tvar min = opt.numMin;\n\t\t\t\tvar target = parseFloat(par.target);\n\t\t\t\tvar countTime = opt.animTime;\n\t\t\t\tvar decim = opt.lbDecimals;\n\t\t\t\tvar step = opt.counterStep;\n\t\t\t\tvar type = opt.numType; \n\t\t\t\tvar limLabelPos = opt.limLabelPos;\n\t\t\t\t\n\t\t\t\tif (type == 'percent') {\n\t\t\t\t\tvar sign = '%';\n\t\t\t\t} else if (type == 'absolute') {\t\t\t\t\t\n\t\t\t\t\tvar sign = '';\n\t\t\t\t}\n\t\t\t\tvar i = parseFloat(min);\n\t\t\t\tvar ct = (countTime / (target - i)) * step;\n\t\t\t\tlabel.html(min + sign);\n\t\t\t\tfunction counter() {\n\t\t\t\t\tsetTimeout(function() {\n\t\t\t\t\t\tlabel.html(i.toFixed(decim) + sign);\t\t\t\t\t\n\t\t\t\t\t\tif (i<target) {\n\t\t\t\t\t\t\ti = Math.min(i + step, target);\n\t\t\t\t\t\t\tcounter();\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tif (limLabelPos == 'num') { \n\t\t\t\t\t\t\t\tvar counterLb = label.closest('.bi-wrp').find('.bi-limSpan').prop('outerHTML');\n\t\t\t\t\t\t\t\tif (typeof counterLb != 'undefined') {\n\t\t\t\t\t\t\t\t\tvar cntrLb = counterLb;\n\t\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t\tvar cntrLb = '';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tlabel.html(label.html() + cntrLb);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t},ct);\t\t\t\t\n\t\t\t\t}\t\n\t\t\t\tcounter();\t\t\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\t_getColorValue: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar validHex = new RegExp(/(^#[0-9A-F]{6}$)|(^#[0-9A-F]{3}$)/i);\n\t\t\t\tvar colorNameList = ["AliceBlue","AntiqueWhite","Aqua","Aquamarine","Azure","Beige","Bisque","Black","BlanchedAlmond","Blue","BlueViolet","Brown","BurlyWood","CadetBlue","Chartreuse","Chocolate","Coral","CornflowerBlue","Cornsilk","Crimson","Cyan","DarkBlue","DarkCyan","DarkGoldenRod","DarkGray","DarkGrey","DarkGreen","DarkKhaki","DarkMagenta","DarkOliveGreen","Darkorange","DarkOrchid","DarkRed","DarkSalmon","DarkSeaGreen","DarkSlateBlue","DarkSlateGray","DarkSlateGrey","DarkTurquoise","DarkViolet","DeepPink","DeepSkyBlue","DimGray","DimGrey","DodgerBlue","FireBrick","FloralWhite","ForestGreen","Fuchsia","Gainsboro","GhostWhite","Gold","GoldenRod","Gray","Grey","Green","GreenYellow","HoneyDew","HotPink","IndianRed","Indigo","Ivory","Khaki","Lavender","LavenderBlush","LawnGreen","LemonChiffon","LightBlue","LightCoral","LightCyan","LightGoldenRodYellow","LightGray","LightGrey","LightGreen","LightPink","LightSalmon","LightSeaGreen","LightSkyBlue","LightSlateGray","LightSlateGrey","LightSteelBlue","LightYellow","Lime","LimeGreen","Linen","Magenta","Maroon","MediumAquaMarine","MediumBlue","MediumOrchid","MediumPurple","MediumSeaGreen","MediumSlateBlue","MediumSpringGreen","MediumTurquoise","MediumVioletRed","MidnightBlue","MintCream","MistyRose","Moccasin","NavajoWhite","Navy","OldLace","Olive","OliveDrab","Orange","OrangeRed","Orchid","PaleGoldenRod","PaleGreen","PaleTurquoise","PaleVioletRed","PapayaWhip","PeachPuff","Peru","Pink","Plum","PowderBlue","Purple","Red","RosyBrown","RoyalBlue","SaddleBrown","Salmon","SandyBrown","SeaGreen","SeaShell","Sienna","Silver","SkyBlue","SlateBlue","SlateGray","SlateGrey","Snow","SpringGreen","SteelBlue","Tan","Teal","Thistle","Tomato","Turquoise","Violet","Wheat","White","WhiteSmoke","Yellow","YellowGreen"];\n\t\t\t\tif (par.indexOf('rgb') == -1) {\n\t\t\t\t\tif (par.indexOf('#') == 0) {\n\t\t\t\t\t\tif (validHex.test(par)) {\n\t\t\t\t\t\t\tvar fColor = par;\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif ($.inArray(par, colorNameList)) {\n\t\t\t\t\t\t\tvar fColor = par;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tvar fColor = par;\n\t\t\t\t}\n\t\t\t\treturn fColor;\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\t_getMilestones: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar $el = that.$el;\t\n\t\t\t\tvar $elID = $el.attr('id');\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar style = opt.style;\n\t\t\t\tvar mlst = opt.milestones;\n\t\t\t\tvar slf = par.self; \n\t\t\t\tvar barWrp = (slf || $el).find('.bi-bar');\n\n\t\t\t\t//Append milestones\n\t\t\t\tif (par.mlstObj) {\n\t\t\t\t\tmlst = par.mlstObj;\n\t\t\t\t}\t\n\t\t\t\tfor (m in mlst) {\t\n\t\t\t\t\tvar mlstObj = mlst[m];\n\t\t\t\t\tvar pos = mlstObj.mlPos;\n\t\t\t\t\tvar mlstId = mlstObj.mlId;\n\t\t\t\t\tvar mlstClass = mlstObj.mlClass;\n\t\t\t\t\tvar mlstDim = mlstObj.mlDim;\n\t\t\t\t\tvar mlstLabel = mlstObj.mlLabel;\n\t\t\t\t\tvar mlstVis = mlstObj.mlLabelVis;\n\t\t\t\t\tvar mlstHoverRange = mlstObj.mlHoverRange;\n\t\t\t\t\tvar mlstLineHeight = mlstObj.mlLineWidth;\n\t\t\t\t\t//Get length object\n\t\t\t\t\tvar paramsLength = {\n\t\t\t\t\t\tthat: that,\n\t\t\t\t\t\tnum: pos\n\t\t\t\t\t}\n\t\t\t\t\tvar mlstLb = mlstLabel;\n\t\t\t\t\tif (opt.avgLabelNum) {\n\t\t\t\t\t\tif (mlstObj.mlClass == 'bi-average-mlst') {\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tmlstLb = mlstLabel + ' ' + mlstObj.mlPos;\n\t\t\t\t\t\t\tif (opt.numType == 'percent') {\n\t\t\t\t\t\t\t\tmlstLb += '%';\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\t\t\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t\tvar lengthObj = Plugin.prototype._getLength.apply(this, [paramsLength]);\n\t\t\t\t\tvar barLength = lengthObj.barLength;\n\t\t\t\t\tvar ml = '<span class="bi-milestone bi-mlst_' + m + ' ' + mlstClass + '" data-id="' + mlstId + '" data-pos="' + barLength + '" data-dim="' + mlstDim + '" data-label="' + mlstLabel + '" data-visible="' + mlstVis + '" data-hoverRange="' + mlstHoverRange + '" data-mlLineWidth="' + mlstLineHeight + '">';\n\t\t\t\t\tml += '<span class="bi-mlst-inner"><span class="bi-mlst-innerLine"></span>';\n\t\t\t\t\tml += '<span class="bi-mlst-label"><span class="bi-mlst-labelTxt">' + mlstLb + '</span></span>';\n\t\t\t\t\tml +=' </span></span>';\n\t\t\t\t\tbarWrp.append(ml);\n\t\t\t\t\tvar $ml = barWrp.find('.bi-mlst_' + m);\n\t\t\t\t\t$(document).trigger('bi.milestoneAppended', [$ml]);\n\t\t\t\t\tif ($elID) {\n\t\t\t\t\t\t$(document).trigger('bi_' + $elID + '_' + mlstId + '.milestoneAppended');\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t//Give position and (if true)dimensions\n\t\t\t\tvar thisEl = (slf || $el);\n\n\t\t\t\tthisEl.find('.bi-milestone').each(function() {\n\t\t\t\t\tvar ml = $(this);\n\t\t\t\t\tvar mlId = ml.attr('data-id');\n\t\t\t\t\tvar mlPos = ml.attr('data-pos');\n\t\t\t\t\tvar mlDim = ml.attr('data-dim');\n\t\t\t\t\tvar mlLabel = ml.attr('data-label');\n\t\t\t\t\tvar mlVis = ml.attr('data-visible');\n\t\t\t\t\tvar mlHoverRange = ml.attr('data-hoverRange');\n\t\t\t\t\tvar mlLineWidth = ml.attr('data-mlLineWidth');\n\t\t\t\t\tvar absolutePull = parseFloat(mlHoverRange) / 2;\n\t\t\t\t\tvar mlLineAbsPull = parseFloat(mlLineWidth) / 2;\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\tvar mlInner = ml.find('.bi-mlst-inner');\n\t\t\t\t\tvar mlLine = mlInner.find('.bi-mlst-innerLine');\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t//Get id (if set)\n\t\t\t\t\tif (mlId != 'false') {\n\t\t\t\t\t\tml.attr('id', mlId);\n\t\t\t\t\t}\t\t\t\t\t\n\t\t\t\t\t//Get position\n\t\t\t\t\tif (style == 'vertical') {\t\t\t\t\t\t\n\t\t\t\t\t\tml.css({\n\t\t\t\t\t\t\t'bottom':mlPos,\n\t\t\t\t\t\t\t'height':mlHoverRange + 'px',\n\t\t\t\t\t\t\t'margin-bottom': -absolutePull + 'px'\n\t\t\t\t\t\t});\n\t\t\t\t\t\tmlLine.css({\n\t\t\t\t\t\t\t'height': mlLineWidth + 'px',\n\t\t\t\t\t\t\t'margin-top': -mlLineAbsPull + 'px'\n\t\t\t\t\t\t});\n\t\t\t\t\t} else if (style == 'horizontal') {\n\t\t\t\t\t\tml.css({\n\t\t\t\t\t\t\t'left':mlPos,\n\t\t\t\t\t\t\t'width':mlHoverRange + 'px',\n\t\t\t\t\t\t\t'margin-left': -absolutePull + 'px'\n\t\t\t\t\t\t});\n\t\t\t\t\t\tmlLine.css({\n\t\t\t\t\t\t\t'width': mlLineWidth + 'px',\n\t\t\t\t\t\t\t'margin-left': -mlLineAbsPull + 'px'\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t\t//Get label visibility\n\t\t\t\t\tif (mlVis == 'hover') {\n\t\t\t\t\t\tmlInner.addClass('bi-mlst-innerHover').removeClass('bi-mlst-innerVisible bi-mlst-innerHidden');\n\t\t\t\t\t} else if (mlVis == 'visible') {\n\t\t\t\t\t\tmlInner.addClass('bi-mlst-innerVisible').removeClass('bi-mlst-innerHover bi-mlst-innerHidden');\n\t\t\t\t\t} else if (mlVis == 'hidden') {\n\t\t\t\t\t\tmlInner.addClass('bi-mlst-innerHidden').removeClass('bi-mlst-innerVisible bi-mlst-innerHover');\n\t\t\t\t\t}\n if (mlVis == 'hover') {\n mlInner.on({\n 'mouseenter': function() { \n $(this).addClass('bi-mlst-innerOverflowVisible'); \n },\n 'mouseleave': function() { \n setTimeout(function() {\n $('.bi-mlst-inner').removeClass('bi-mlst-innerOverflowVisible'); \n }, 150);\n }\n });\n } else {\n $(document).off('mouseenter mouseleave', '.bi-mlst-inner');\n }\n\t\t\t\t\t//If mlDim -> apply the given dimensions\n\t\t\t\t\tif (mlDim) {\n\t\t\t\t\t\tif (mlDim == 'inherit') {\n\t\t\t\t\t\t\tvar d = '100%';\n\t\t\t\t\t\t} else if (mlDim.indexOf('%') != -1 || mlDim.indexOf('px') != -1) {\n\t\t\t\t\t\t\tvar d = mlDim;\n\t\t\t\t\t\t}\t\t\t\t\t\t\n\t\t\t\t\t\tif (style == 'vertical') {\t\t\t\t\t\t\n\t\t\t\t\t\t\tml.css({'width':d});\n\t\t\t\t\t\t\tvar mlW = ml.css('width');\n\t\t\t\t\t\t\tvar mrgL = parseFloat(mlW.replace('px','')) / 2;\n\t\t\t\t\t\t\tml.css({marginLeft: -mrgL + 'px'});\n\t\t\t\t\t\t} else if (style == 'horizontal') {\n\t\t\t\t\t\t\tml.css({'height':d});\n\t\t\t\t\t\t\tvar mlH = ml.css('height');\n\t\t\t\t\t\t\tvar mrgT = parseFloat(mlH.replace('px','')) / 2;\n\t\t\t\t\t\t\tml.css({marginTop: -mrgT + 'px'});\n\t\t\t\t\t\t}\n\t\t\t\t\t}\t\t\t\t\t\n\t\t\t\t});\t\t\t\t\n\t\t\t}\n\t\t},\n\t\t\n\t\t_getAverage: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar $el = that.$el;\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar barWrp = $el.find('.bi-bar');\n\t\t\t\t\n\t\t\t\tvar avgMlDim = opt.avgMlDim;\n\t\t\t\tvar avgLabel = opt.avgLabel;\n\t\t\t\tvar avgLabelNum = opt.avgLabelNum;\n\t\t\t\tvar avgLabelVis = opt.avgLabelVis;\n\t\t\t\tvar avgLabelHoverRange = opt.avgLabelHoverRange;\n\t\t\t\tvar avgLineHeight = opt.avgLineWidth;\n\t\t\t\tvar lim = opt.limLabel;\n\t\t\t\tvar limMinLabel = opt.limMinLabel;\n\t\t\t\tvar limMaxLabel = opt.limMaxLabel;\n\t\t\t\tvar limMinVisible = opt.limMinVisible;\n\t\t\t\tvar limMaxVisible = opt.limMaxVisible;\n\t\t\t\tvar limLabelPos = opt.limLabelPos;\n\t\t\t\t\n\t\t\t\t//Detect data-avgClass attributes\n\t\t\t\tvar dtAvgCl = $el.attr('data-avgClass');\n\t\t\t\tif (dtAvgCl && dtAvgCl.length > 0) {\n\t\t\t\t\tvar avgAttr = $el.attr('data-biAvg');\n\t\t\t\t\tvar sel = $.data($el,'storedAttr').selector;\n\t\t\t\t\tvar elem = $(sel + '[data-avgClass="' + dtAvgCl + '"]');\n\t\t\t\t\tvar notInitCount = 0;\n\t\t\t\t\telem.each(function() {\t\n\t\t\t\t\t\tvar notInit = !$.data(this, 'plugin_' + pluginName);\n\t\t\t\t\t\tif (notInit) {\n\t\t\t\t\t\t\tnotInitCount++;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\tif (notInitCount == 1 && elem.length > 1) {\n\t\t\t\t\t\tvar sum = 0;\n\t\t\t\t\t\tvar i = 1;\n\t\t\t\t\t\tvar numArr = [];\n\t\t\t\t\t\telem.each(function() {\t\t\n\t\t\t\t\t\t\tvar that = $(this);\n\t\t\t\t\t\t\tif (!that.hasClass('bi-avgCalculated')) {\n\t\t\t\t\t\t\t\tvar lbNum = parseFloat(that.attr('data-lbNum'));\n\t\t\t\t\t\t\t\tthat.addClass('bi-avgCalculated');\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tsum += lbNum;\n\t\t\t\t\t\t\t\ti++;\n\t\t\t\t\t\t\t\tnumArr.push(lbNum);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t\tvar avg = sum / (i - 1);\n\t\t\t\t\t\tif (lim) {\n\t\t\t\t\t\t\tvar numArrSorted = numArr.sort(function(a,b) { return a-b });\n\t\t\t\t\t\t\tvar numArrMin = numArrSorted[0];\n\t\t\t\t\t\t\tvar\tnumArrMax = numArrSorted[numArrSorted.length - 1];\n\t\t\t\t\t\t\telem.each(function() {\n\t\t\t\t\t\t\t\tvar self = $(this);\n\t\t\t\t\t\t\t\tif (self.attr('data-lbNum').indexOf(numArrMin) != -1 && limMinVisible) {\n\t\t\t\t\t\t\t\t\tself.addClass('bi-lbNum-min').find('.bi-limSpan').html(limMinLabel).addClass('bi-limSpan-min');\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif (self.attr('data-lbNum').indexOf(numArrMax) != -1 && limMaxVisible) {\n\t\t\t\t\t\t\t\t\tself.addClass('bi-lbNum-max').find('.bi-limSpan').html(limMaxLabel).addClass('bi-limSpan-max');\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tif (limLabelPos == 'num') {\n\t\t\t\t\t\t\t\t\telem.addClass('bi-limPos-num');\n\t\t\t\t\t\t\t\t} else if (limLabelPos == 'title') {\n\t\t\t\t\t\t\t\t\telem.addClass('bi-limPos-title');\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t}\n\t\t\t\t\t\telem.attr('data-biAvg', avg.toFixed(2));\t\n\t\t\t\t\t\tvar trigObj = {\n\t\t\t\t\t\t\tthat: par.that,\n\t\t\t\t\t\t\tsel: sel\n\t\t\t\t\t\t}\n\t\t\t\t\t\t$(document).trigger('bi.dataAvgSet', [trigObj]);\n\t\t\t\t\t}\t\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\t\n\t\t_setAvgMilestone: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar that = par.that;\n\t\t\t\tvar $el = par.$el;\n\t\t\t\tvar opt = that.opt;\n\t\t\t\tvar mlst = opt.milestones;\n\t\t\t\tvar avgColorIndicator = opt.avgColorIndicator;\n\t\t\t\tvar avgColorBelowAvg = opt.avgColorBelowAvg;\n\t\t\t\tvar avgColorAboveAvg = opt.avgColorAboveAvg;\n\t\t\t\tvar avgAttr = $el.attr('data-biAvg');\n\t\t\t\tif (avgAttr && avgAttr.length > 0) {\n\t\t\t\t\tvar avg = parseFloat(avgAttr);\n\t\t\t\t\tvar avgObj = {\n\t\t\t\t\t\tavg: {\n\t\t\t\t\t\t\tmlPos: avg,\n\t\t\t\t\t\t\tmlId: opt.avgMlId,\n\t\t\t\t\t\t\tmlClass: opt.avgMlClass,\n\t\t\t\t\t\t\tmlDim: opt.avgMlDim,\n\t\t\t\t\t\t\tmlLabel: opt.avgLabel,\n\t\t\t\t\t\t\tmlLabelVis: opt.avgLabelVis,\t \n\t\t\t\t\t\t\tmlHoverRange: opt.avgLabelHoverRange,\t\n\t\t\t\t\t\t\tmlLineWidth: opt.avgLineWidth\t\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t\tvar mlstObj = $.extend({}, mlst, avgObj);\n\t\t\t\t\tif (avgColorIndicator) {\n\t\t\t\t\t\tvar innerBar = $el.find('.bi-barInner');\n\t\t\t\t\t\tvar lbNum = $el.attr('data-lbnum');\t\t\t\t\t\t\n\t\t\t\t\t\tif (parseFloat(lbNum) > avg) {\n\t\t\t\t\t\t\t$el.addClass('bi-avgAbove');\n\t\t\t\t\t\t\tif (avgColorAboveAvg) {\n\t\t\t\t\t\t\t\tvar colAbove = Plugin.prototype._getColorValue.apply(this, [avgColorAboveAvg]);\n\t\t\t\t\t\t\t\tinnerBar.css({'background-color':colAbove});\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t$el.addClass('bi-avgBelow');\n\t\t\t\t\t\t\tif (avgColorBelowAvg) {\n\t\t\t\t\t\t\t\tvar colBelow = Plugin.prototype._getColorValue.apply(this, [avgColorBelowAvg]);\n\t\t\t\t\t\t\t\tinnerBar.css({'background-color':colBelow});\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tvar mlstObj = mlst;\n\t\t\t\t}\t\t\t\t\n\t\t\t\tif (mlstObj && !$.isEmptyObject(mlstObj)) {\t\t\t\t\t\n\t\t\t\t\tvar paramsMlst = {\n\t\t\t\t\t\tthat: par.that,\n\t\t\t\t\t\tself: par.$el,\n\t\t\t\t\t\tmlstObj: mlstObj\n\t\t\t\t\t}\t\t\t\t\t\n\t\t\t\t\tPlugin.prototype._getMilestones.apply(this, [paramsMlst]);\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\t\n\t\t//Getters (no chainability) ---------------------------------------------------------------------- //\n\t\tgetPluginData: function() {\t\t\t\n\t\t\tvar $el = this.$el;\n\t\t\tvar pluginData = $.data($el,'storedAttr');\n\t\t\treturn pluginData;\n\t\t},\n\t\t\n\t\t//Public methods --------------------------------------------------------------------------------- //\n\t\treanimateBar: function() {\n\t\t\tvar $el = this.$el;\n\t\t\tvar $elID = $el.attr('id');\n\t\t\tvar opt = this.opt;\n\t\t\tvar barLength = $.data($el, 'storedAttr').barLength;\n\t\t\tvar num = $.data($el, 'storedAttr').num;\t\n\n\t\t\t//Get color range class\n\t\t\tvar paramsColorRange = {\n\t\t\t\tthat: this,\n\t\t\t\tnum: num\n\t\t\t}\n\t\t\tvar lengthObj = Plugin.prototype._getColorRangeClass.apply(this, [paramsColorRange]);\n\t\t\t\n\t\t\t//Reanimate bar\n\t\t\tvar paramsAnim = {\n\t\t\t\tthat: this,\n\t\t\t\tbl: barLength,\n\t\t\t\treanim: true\n\t\t\t}\t\t\n\t\t\tvar paramsCount = {\n\t\t\t\tthat: this,\n\t\t\t\ttarget: num\n\t\t\t}\n\t\t\tPlugin.prototype._animateBar.apply(this, [paramsAnim]);\n\t\t\tif (opt.labelNumCount) {\n\t\t\t\tPlugin.prototype._labelNumCounter.apply(this, [paramsCount]);\n\t\t\t}\n\t\t\t//Trigger event\n\t\t\t$(document).trigger('bi.reanimateBarStart');\n\t\t\tif ($elID) {\n\t\t\t\t$(document).trigger('bi_' + $elID + '.reanimateBarStart');\n\t\t\t}\n\t\t},\n\t\t\n\t\tloadNewData: function(par) {\n\t\t\tif (par) {\n\t\t\t\tvar newNum = par;\n\t\t\t\tvar $elID = this.$el.attr('id');\n\t\t\t\t//Get length object\n\t\t\t\tvar paramsLength = {\n\t\t\t\t\tthat: this,\n\t\t\t\t\tnum: newNum\n\t\t\t\t}\n\t\t\t\tvar lengthObj = Plugin.prototype._getLength.apply(this, [paramsLength]);\n\t\t\t\tvar lbNum = lengthObj.lbNum;\n\t\t\t\tvar barLength = lengthObj.barLength;\n\t\t\t\t\n\t\t\t\t//Get color range class\n\t\t\t\tvar paramsColorRange = {\n\t\t\t\t\tthat: this,\n\t\t\t\t\tnum: parseFloat(lbNum)\n\t\t\t\t}\n\t\t\t\tvar lengthObj = Plugin.prototype._getColorRangeClass.apply(this, [paramsColorRange]);\n\t\t\t\t\n\t\t\t\tvar paramsAnim = {\n\t\t\t\t\tthat: this,\n\t\t\t\t\tbl: barLength,\n\t\t\t\t\tloadData: true\n\t\t\t\t}\n\t\t\t\tvar paramsCount = {\n\t\t\t\t\tthat: this,\n\t\t\t\t\ttarget: lbNum\n\t\t\t\t}\t\n\t\t\t\tPlugin.prototype._animateBar.apply(this, [paramsAnim]);\n\t\t\t\tif (this.opt.labelNumCount) {\n\t\t\t\t\tPlugin.prototype._labelNumCounter.apply(this, [paramsCount]);\n\t\t\t\t}\n\t\t\t\t//Trigger event\n\t\t\t\t$(document).trigger('bi.loadDataStart');\n\t\t\t\tif ($elID) {\n\t\t\t\t\t$(document).trigger('bi_' + $elID + '.loadDataStart');\n\t\t\t\t}\n\t\t\t\t//Change plugin stored data\n\t\t\t\tvar storedData = $.data(this.$el, 'storedAttr');\n\t\t\t\tstoredData['barLength'] = barLength;\t\t\t\t\n\t\t\t\tstoredData['num'] = parseFloat(newNum);\n\t\t\t}\n\t\t},\n\t\t\t\t\n\t\tdestroy: function() {\n\t\t\t//console.log('destroy()');\n\t\t\tvar $el = this.$el;\n\t\t\tvar opt = this.opt;\n\t\t\tvar storedData = $.data($el, 'storedAttr'); \n\t\t\tvar orText = storedData.orText;\n\t\t\tvar orClass = storedData.orClass;\n\t\t\t$el.removeData()\n\t\t\t\t.empty()\n\t\t\t\t.html(orText)\n\t\t\t\t.attr('class', orClass)\n\t\t\t\t.removeAttr('data-lbNum data-biid');\n\t\t}\n\t\t\n\t}\n\t\t\n\t$.fn[pluginName] = function(options) {\n\t\tvar args = arguments;\t\n\t\tvar selector = $(this).selector;\n\t\tif (options === undefined || typeof options === 'object') {\n\t\t\treturn this.each(function() {\t\t\t\n\t\t\t\tif (!$.data(this, 'plugin_' + pluginName)) {\n\t\t\t\t\t$.data(this, 'plugin_' + pluginName, new Plugin(this, options, selector));\n\t\t\t\t}\n\t\t\t});\t\n\t\t} else if (typeof options === 'string' && options[0] !== '_' && options !== 'init') {\n\t\t\tif (Array.prototype.slice.call(args, 1).length == 0 && $.inArray(options, $.fn[pluginName].getters) != -1) {\n\t\t\t\tvar instance = $.data(this[0], 'plugin_' + pluginName);\n\t\t\t\treturn instance[options].apply(instance, Array.prototype.slice.call(args,1));\n\t\t\t} else {\n\t\t\t\treturn this.each(function() {\n\t\t\t\t\tvar instance = $.data(this, 'plugin_' + pluginName);\n\t\t\t\t\tif (instance instanceof Plugin && typeof instance[options] === 'function') {\n\t\t\t\t\t\tinstance[options].apply(instance, Array.prototype.slice.call(args, 1));\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t}\n\t\n\t$.fn[pluginName].getters = ['getPluginData'];\n\t\n\t$.fn[pluginName].defaults = {\n\t\twrpClass: 'bi-wrp',\n\t\tdata: false,\n\t\tstyle: 'horizontal',\t\n\t\ttheme: 'bi-default-theme',\n\t\tanimation: true,\n\t\tanimTime: 300,\t\n\t\teasing: 'easeOutExpo',\n\t\ttimeout: 0,\t\n\t\tcolorRange: false,\t\n\t\tcolorRangeLimits: {\t\t\n\t\t\toptimal: '0-40',\n\t\t\talert: '41-70',\n\t\t\tcritical: '71-100'\n\t\t},\n\t\tforeColor: false,\t\n\t\tbackColor: false,\n\t\tlabelColor: false,\t\t\n\t\tlabelVisibility: 'default', \n\t\tlabelHoverPos: {\n\t\t\ttop:'0',\n\t\t\tleft:'20px'\n\t\t},\n\t\tvertLabelPos: 'right',\t\n\t\tvertLabelAlign: 'middle',\t\n\t\thorLabelPos: 'topLeft', \n\t\thorTitle: false,\n\t\tnumType: 'percent',\n\t\tlbDecimals: 0,\n\t\tnumMin: 0,\n\t\tnumMax: 100,\n\t\tnumMinLabel: false,\t\n\t\tnumMaxLabel: false,\t\n\t\tnumMinLbLeft: false, \n\t\tnumMaxLbRight: false, \n\t\tnumMinLbTop: false, \n\t\tnumMaxLbTop: false,\n\t\tvertBarWidth: 10,\n\t\thorBarHeight: 10,\n\t\tvertBarHeight: 'line',\t\t\t\n\t\ttriggerEvent: 'load',\t\n\t\tforceAnim: false,\n\t\tforceDelay: 100,\n\t\tlabelNumCount: true,\t\n\t\tcounterStep: 10,\t\t\n\t\tmilestones: {\n\t\t\t1: {\n\t\t\t\tmlPos: 50,\n\t\t\t\tmlId: 'mlst-half',\n\t\t\t\tmlClass: 'bi-middle-mlst',\n\t\t\t\tmlDim: 'inherit',\n\t\t\t\tmlLabel: 'Half',\n\t\t\t\tmlLabelVis: 'hover',\t \n\t\t\t\tmlHoverRange: 15,\t\n\t\t\t\tmlLineWidth: 1\t\n\t\t\t}\n\t\t},\n\t\tavgActive: false,\n\t\tavgColorIndicator: false,\t\n\t\tavgColorBelowAvg: false,\n\t\tavgColorAboveAvg: false,\n\t\tavgMlId: false,\n\t\tavgMlClass: 'bi-average-mlst',\n\t\tavgMlDim: 'inherit',\n\t\tavgLabel: 'Average',\n\t\tavgLabelNum: true,\t\n\t\tavgLabelVis: 'hover',\t\n\t\tavgLabelHoverRange: 15,\t\n\t\tavgLineWidth: 1,\n\t\tlimLabel: true,\n\t\tlimMinLabel: 'min',\n\t\tlimMaxLabel: 'max',\n\t\tlimMinVisible: true,\n\t\tlimMaxVisible: true,\n\t\tlimLabelPos: 'num'\t\n\t}\n\t\n\t$(document).on('bi.dataAvgSet', function(e,a) {\t\t\n\t\tvar sel = a.sel;\n\t\t$(sel).each(function() {\t\t\t\n\t\t\tvar self = $(this);\n\t\t\tvar paramsAvg = {\n\t\t\t\tthat: a.that,\n\t\t\t\t$el: self\n\t\t\t};\n\t\t\tPlugin.prototype._setAvgMilestone.apply(this, [paramsAvg]);\n\t\t});\n\t});\n\t\t\n})(jQuery, window, document);\n

<<revision checkStats>>\n------------------------\n<<revise checkStats "Reflect on your Stats">><<becomes>>\s\n<<display showStats>>\s\n<<endrevision>>

oldman

(function () {\n "use strict";\n version.extensions['soundMacros'] = {\n major: 1,\n minor: 1,\n revision: 2\n };\n var p = macros['playsound'] = {\n soundtracks: {},\n handler: function (a, b, c, d) {\n var loop = function (m) {\n if (m.loop == undefined) {\n m.loopfn = function () {\n this.play();\n };\n m.addEventListener('ended', m.loopfn, 0);\n } else m.loop = true;\n m.play();\n };\n var s = eval(d.fullArgs());\n if (s) {\n s = s.toString();\n var m = this.soundtracks[s.slice(0, s.lastIndexOf("."))];\n if (m) {\n if (b == "playsound") {\n m.play();\n } else if (b == "loopsound") {\n loop(m);\n } else if (b == "pausesound") {\n m.pause();\n } else if (b == "unloopsound") {\n if (m.loop != undefined) {\n m.loop = false;\n } else if (m.loopfn) {\n m.removeEventListener('ended', m.loopfn);\n delete m.loopfn;\n }\n } else if (b == "stopsound") {\n m.pause();\n m.currentTime = 0;\n } else if (b == "fadeoutsound" || b == "fadeinsound") {\n if (m.interval) clearInterval(m.interval);\n if (b == "fadeinsound") {\n if (m.currentTime>0) return;\n m.volume = 0;\n loop(m);\n } else {\n if (!m.currentTime) return;\n m.play();\n }\n var v = m.volume;\n m.interval = setInterval(function () {\n v = Math.min(1, Math.max(0, v + 0.005 * (b == "fadeinsound" ? 1 : -1)));\n m.volume = Math.easeInOut(v);\n if (v == 0 || v == 1) clearInterval(m.interval);\n if (v == 0) {\n m.pause();\n m.currentTime = 0;\n m.volume = 1;\n }\n }, 10);\n }\n }\n }\n }\n }\n macros['fadeinsound'] = p;\n macros['fadeoutsound'] = p;\n macros['unloopsound'] = p;\n macros['loopsound'] = p;\n macros['pausesound'] = p;\n macros['stopsound'] = p;\n macros['stopallsound'] = {\n handler: function () {\n var s = macros.playsound.soundtracks;\n for (var j in s) {\n\t\tif (s.hasOwnProperty(j)) {\n s[j].pause();\n if (s[j].currentTime) {\n\t\t s[j].currentTime = 0;\n\t\t }\n\t\t}\n }\n }\n }\n var div = document.getElementById("storeArea").firstChild;\n var fe = ["ogg", "mp3", "wav", "webm"];\n while (div) {\n var b = String.fromCharCode(92);\n var q = '"';\n var re = "['" + q + "]([^" + q + "']*?)" + b + ".(ogg|mp3|wav|webm)['" + q + "]";\n k(new RegExp(re, "gi"));\n div = div.nextSibling;\n }\n\n function k(c, e) {\n do {\n var d = c.exec(div.innerHTML);\n if (d) {\n var a = new Audio();\n if (a.canPlayType) {\n for (var i = -1; i < fe.length; i += 1) {\n if (i >= 0) d[2] = fe[i];\n if (a.canPlayType("audio/" + d[2])) break;\n }\n if (i < fe.length) {\n a.setAttribute("src", d[1] + "." + d[2]);\n a.interval = null;\n macros.playsound.soundtracks[d[1]] = a;\n } else console.log("Browser can't play '" + d[1] + "'");\n }\n }\n } while (d);\n }\n}());

/% Place your story's setup code in this passage.\nAny macros in this passage will be run before the Start passage (or any passage you wish to Test Play) is run. %/\n<<set $allAngVowels to ["a", "e", "i", "o", "u", "y"]>>\n<<set $allAngConsonantsExtended to ["the double F", "new J", "the E on a Y thing", "the excitation mark", "the hard PG", "warm-L"]>>\n<<set $allAngConsonantsNormal to ["b","c","d","f","g","h","j","k","l","m","n","p","q","r","s","t","v","w","x","z"]>>\n<<set $allAngLetters to ($allAngVowels + $allAngConsonantsNormal + $allAngConsonantsExtended)>>\n\n<<set $allMooVowels to ["や", "얘","의", "으","ʌ", "ㄛ", "ㄞ", "ㄠ", "ㄭ", "ะ", "ใ", "า","اَ","ə","oʊ"]>>\n<<set $allMooConsonants to ["ŋ", "ʒ", "Þ","ㅎ","ʔ", "ʃ", "ㅋ","ジ", "ㄅ", "ㄇ", "ㄐ", "ก", "ข", "ฐ"]>>\n<<set $allMooLetters to ($allMooVowels +$allMooConsonants)>>\n\n<<set $AngFluency to 50>>\n<<set $MoounFluency to 5>>\n<<set $Morality to 50>>\n<<set $Stamina to 50>>\n<<set $Discipline to 50>>\n\n<<set $landed to false>>\n<<set $explored to false>>\n\n<<set $whichDay to 1>>\n<<set $maxDays to 4>>\n\n\n/% "Work_Fast",%/\n<<set $WorkDays to ["Work_Fight","Work_Idle","Work_Lunch","Work_Compliment","Work_Crying","Work_PoisonDay"]>>\n/%"Social_Date","Social_OldMan","Social_Politics"%/\n<<set $SocialPods to ["Social_Party","Social_Club","Social_Dinner"]>>\n<<set $FunPods to ["Fun_Games","Fun_Podcast","Fun_MultiplayerGames"]>>\n/%,"Learn_Cooking"%/\n<<set $LearnPods to ["Learn_Drum","Learn_Written","Learn_LanguageExchange"]>>

You half pay attention, half daydream as the podcast plays...\n\n"What's up TWIPAs!"\n\n"...across the planet protests are planned to..."\n\n"...actually said that. I mean on a live broadcast, actually said that <<replace>>...<<gains>> he was the world's greatest <<aword 7>>... (<<stat AngFluency +7>>)<<endreplace>>"\n\n"... probably an impeachable offense I guess..."\n\n<<continue "I think I learned something...">>\s\n<<stat Stamina +8>>\n<<stat AngFluency -1>>\n<<stat MoounFluency -2>>\n<<stat Morality -2>>\n<<stat Discipline -4>>\n\n<<display goHome>>

date

macros['stat'] =\n{\n\thandler: function(place, macroName, params, parser)\n\t{\n\t\tvar stat = params[0]\n\t\tvar op = params[1]\n\t\tnew Wikifier (place, "Your " + stat + " changes by " + op + ".")\n\t\tnew Wikifier (place, "<<set $" + stat + " to $" + stat + " " + op + ">>")\n\t}\n}

The other teachers invited you out for dinner.\n\n<<continue "I can't not go!">>\s\nIt's going to be soy, just like home, but with local spices.\n\n<<continue "I'm more excited to just have a conversation.">>\s\nOn the way there, you all crack jokes about how even thoguh you all speak Ang-C, there's remnants of regional accents from around Earth.\n\n<<continue "Like what?">>\s\nWell, you say 'bagel' weird.\n\n<<continue "Yeah, I guess I do.">>\s\nPlaying along with it makes a better time for everybody. Humility is humour.\n\n<<stat AngFluency +5>>\n<<stat Morality +5>>\n<<stat Stamina -4>>\n\n<<display goHome>>

<<becomes>>\n<<mword 6>>\n<<becomes>>\n<<display wordLoop>>

It's one hundred, hundred, hundred years in the future.\n\n<<continue "Wow.">>\s\nSpace travel is trivial.\n\n<<continue "I bet it is.">>\s\nEnergy is limitless.\n\n<<continue "Probably Dyson spheres?">>\s\nAutomation has rendered almost all human work irrelevant.\n\n<<continue "But...">>But...\n\nWe still have to send native Ang-C speakers like you to teach the language, face to face, to students across the galaxy.\n\n<<continue "Let's do that!">>\s\nYou've already taken your online course, but you still must prove your mastery of the language through a comprehensive 5 question [[quiz|Placement Quiz]]. This extensive test of knowledge and proof of practice will determine your teaching placement.

version.extensions.cyclinglinkMacro={major:3,minor:3,revision:0};\nmacros.cyclinglink={handler:function(a,b,c){var rl="cyclingLink";\nfunction toggleText(w){w.classList.remove("cyclingLinkInit");\nw.classList.toggle(rl+"Enabled");w.classList.toggle(rl+"Disabled");\nw.style.display=((w.style.display=="none")?"inline":"none")}switch(c[c.length-1]){case"end":var end=true;\nc.pop();break;case"out":var out=true;c.pop();break}var v="";if(c.length&&c[0][0]=="$"){v=c[0].slice(1);\nc.shift()}var h=state.history[0].variables;if(out&&h[v]===""){return\n}var l=Wikifier.createInternalLink(a,null);l.className="internalLink cyclingLink";\nl.setAttribute("data-cycle",0);for(var i=0;i<c.length;i++){var on=(i==Math.max(c.indexOf(h[v]),0));\nvar d=insertElement(null,"span",null,"cyclingLinkInit cyclingLink"+((on)?"En":"Dis")+"abled");\nif(on){h[v]=c[i];l.setAttribute("data-cycle",i)}else{d.style.display="none"\n}insertText(d,c[i]);if(on&&end&&i==c.length-1){l.parentNode.replaceChild(d,l)\n}else{l.appendChild(d)}}l.onclick=function(){var t=this.childNodes;\nvar u=this.getAttribute("data-cycle")-0;var m=t.length;toggleText(t[u]);\nu=(u+1);if(!(out&&u==m)){u%=m;if(v){h[v]=c[u]}}else{h[v]=""}if((end||out)&&u==m-(end?1:0)){if(end){var n=this.removeChild(t[u]);\nn.className=rl+"End";n.style.display="inline";this.parentNode.replaceChild(n,this)\n}else{this.parentNode.removeChild(this);return}return}toggleText(t[u]);\nthis.setAttribute("data-cycle",u)}}};

function isEven(n) {\n return n % 2 == 0;\n}\n\nfunction isOdd(n) {\n return Math.abs(n % 2) == 1;\n}\n\nmacros['mword'] =\n{\n\thandler: function(place, macroName, params, parser)\n\t{\n\t\tvar len = params[0];\n\t\tvar topV = state.history[0].variables.allMooVowels.length-1;\n\t\tvar topC = state.history[0].variables.allMooConsonants.length-1;\n\t\tfor( var i = 0; i < len; i++ ) \n\t\t{\n\t\t\tif (isOdd(i))\n\t\t\t{\n\t\t\t\tvar n = Math.floor((Math.random()*topV)+1);\n\t\t\t\tnew Wikifier (place, state.history[0].variables.allMooVowels[n]);\n\t\t\t} else {\n\t\t\t\tvar n = Math.floor((Math.random()*topC)+1);\n\t\t\t\tnew Wikifier (place, state.history[0].variables.allMooConsonants[n]);\n\t\t\t}\n\t\t}\n\t}\n}\n\nmacros['aword'] =\n{\n\thandler: function(place, macroName, params, parser)\n\t{\n\t\tvar len = params[0];\n\t\tvar topV = state.history[0].variables.allAngVowels.length-1;\n\t\tvar topC = state.history[0].variables.allAngConsonantsNormal.length-1;\n\t\tfor( var i = 0; i < len; i++ ) \n\t\t{\n\t\t\tif (isOdd(i))\n\t\t\t{\n\t\t\t\tvar n = Math.floor((Math.random()*topV)+1);\n\t\t\t\tnew Wikifier (place, state.history[0].variables.allAngVowels[n]);\n\t\t\t} else {\n\t\t\t\tvar n = Math.floor((Math.random()*topC)+1);\n\t\t\t\tnew Wikifier (place, state.history[0].variables.allAngConsonantsNormal[n]);\n\t\t\t}\n\t\t}\n\t}\n}

<<revision goNight>>\s\nIn the learning pod, you can study the culture of Kwan'thelth and its language, Moo'un.\n\nYou can also expect the following personal growth:\n<<good "Moo'un Fluency +" >>\n<<good "Discipline +">>\n<<bad "Stamina -">>\n\n[[I don't want to do this tonight.|Night]]\n\n<<revise goNight "I'll do something educational!">>\s\n<<if $LearnPods.length is 0>>You don't have anything left to learn.\n<<display goHome>>\s\n<<else>>\s\n<<set n to random(0,$LearnPods.length-1)>>\s\n<<set $destination to $LearnPods[n]>>\s\n<<set $LearnPods.splice(n,1)>>\s\n<<endif>>\s\n<<becomes>>\s\n<<set $isNight to true>>\s\n<<display $destination>>\s\n<<endrevision>>\s\n<<display checkStats>>

@CBaragar

politics

You relax on your pod bed and throw in some earbuds. There's a few new episodes of your favourite podcasts.\n\n[[This Week in Political Anger]]\n[[Internet Detectives]]\n[[InfoDump]]