Something I'm working on ...

[clasqm]

The thought struck me ... an OS called Haiku should be able to ... write a haiku.

So I slapped together a CLI utility along the lines of fortune.

It's been up on my repo for a while now. I forgot that I had promised to report back on this one. It's still not entirely done in terms of data entry, but you can see the structure of the code:

Code:

#!yab
############# Prologue #############


//*****Global Variables****

DEBUG = 0
counter =1

######Preliminary Commands#####
if peek("argument") <> 0 givehelp()
if peek$("refsreceived") <> "" givehelp()
if peek("argument") <> 0 then
    givehelp()
endif

whichstruct = RandInt0To9()
switch whichstruct
    case 0
    case 1
        structure1()
        break
    case 2
    case 3
        structure2()
        break
    case 4
    case 5
        structure3()
        break
    case 6
    case 7
        structure4()
        break
    case 8
    case 9
        structure5()
        break
end switch

sub getdata$()
    local a$, z$(1), counter, tempval
        counter =1
        while(true)
            read a$: if a$ = "_endofdata_" break
            z$(counter) = a$
            counter = counter +1
            dim z$(counter)
        wend
        counter = arraysize(z$(),1)
        tempval=RandInt()/32767
        counter = tempval * counter: counter = int(counter)
        if counter = 0 counter = 1
        a$ = z$(counter): return a$
end sub

sub givehelp()
    ProgramName$ = "makehaiku"
    AuthorName$ = "Michel Clasquin-Johnson <clasqm@gmail.com>"
    ProgramVersion$ = "v0.1"
    ProgramLicense$ = "Public Domain Software"
    ProgramBriefDescription$ = "A haiku generator for Haiku OS"
    ProgramHelpText$ = "DailyHaiku will generate haiku poems according to a randomly-selected syllable\npattern. The generated haiku is printed to standard output, which is\nGeekish for the Terminal, but it can be piped to other programs. Try putting the\nfollowing command in /boot/home/config/settings/boot/UserBootscript:\n\n alert \"`makehaiku`\""
    ProgramLicense$ = "Public Domain Software"
    
    print ProgramName$ + "    " + ProgramVersion$
    print "by " + AuthorName$
    print ProgramBriefDescription$
    print
    print ProgramHelpText$
    print
    print ProgramLicense$
    print
    end
end sub

sub RandInt()
    //returns a random integer between 0 and 32767
    a = val(system$("echo $RANDOM"))
    return a
end sub

sub RandInt0To9()
    //returns a random integer between 0 and 9, inclusive
    a=val(mid$(time$, 8,1))
    return a
end sub

sub structure1()
    local a$, b$, c$, d$
    //Haiku structure:
    //5 A nounnoun verbverbs
    //7 adjadj nounnouns verb advadv
    //5 the nounnoun verbverbs
    
    //first line
    restore  twosyllablenouns
    a$ = getdata$()
    //decide A or An
    switch left$(a$, 1)
        case "a"
        case "e"
        case "i"
        case "o"
        case "u"
        a$ = "An " + a$ + " "
        break
        default
        a$ = "A " + a$ + " "
        break
    end switch
    restore twosyllableverbs
    a$ = a$ + getdata$() + "\n"
    
    // second line
    restore twosyllableadjectives
    b$ = getdata$() + " "
    left$(b$, 1) = upper$(left$(b$, 1))
    restore twosyllablenounsplural
    b$ = b$ + getdata$() + " "
    restore onesyllableverbsplural
    b$ = b$ + getdata$() + " "
    restore twosyllableadverbs
    b$ = b$ + getdata$()+ "\n"
    
    //third line
    c$ = "The "
    restore  twosyllablenouns
    c$ = c$ + getdata$() + " "
    restore twosyllableverbs
    c$ = c$ + getdata$() + "."

    //concatenate    
    d$= a$ + b$ + c$
    print d$
    
    end
end sub

sub structure2()
    //Haiku structure
    //5 nounnouns verbverbverb
    //7 All the nounnouns verbverbverb
    //5 I verb the nounnoun

    //first line
    restore  twosyllablenounsplural
    a$= getdata$() + " "
    left$(a$, 1) = upper$(left$(a$, 1))
    restore threesyllableverbsplural
    a$ = a$ + getdata$() + "\n"
    
    //second line
    b$ = "All the "
    restore  twosyllablenounsplural
    b$= b$ + getdata$() + " "
    restore threesyllableverbsplural
    b$ = b$ + getdata$() + "\n"
    
    //third line
    c$ = "I "
    restore onesyllableverbsplural
    c$= c$ + getdata$() + " the "
    restore  twosyllablenouns
    c$= c$ + getdata$() + "."
    
    //concatenate    
    d$= a$ + b$ + c$
    print d$
    
    end
end sub

sub structure3()
    local a$, b$, c$, d$
    //Haiku structure:
    //5 adj nounnouns verbverb
    //7 But do the nounnouns verbverb?
    //5 nounnouns verb advadv

    //first line
    restore onesyllableadjectives
    a$ = getdata$() + " "
    left$(a$, 1) = upper$(left$(a$, 1))
    restore twosyllablenounsplural
    a$ = a$ + getdata$() + " "
    restore twosyllableverbsplural
    a$ = a$ + getdata$() + "\n"
    
    //second line
    b$="But do the "
    restore twosyllablenounsplural
    b$ = b$ + getdata$() + " "
    restore twosyllableverbsplural
    b$ = b$ + getdata$() + "?\n"

    //third line
    restore twosyllablenounsplural
    c$ = getdata$() + " "
    left$(c$, 1) = upper$(left$(c$, 1))
    restore onesyllableverbsplural
    c$ = c$ + getdata$() + " "
    restore twosyllableadverbs
    c$ = c$ + getdata$() + "."

    //concatenate    
    d$= a$ + b$ + c$
    print d$
    
    end
end sub

sub structure4()
    local a$, b$, c$, d$
    //Haiku structure:
    //5 No nounnoun verbverbs
    //7 We verbverbverb advadvadv
    //5 verbverb advadvadv!
    
    //first line
    a$="No "
    restore  twosyllablenouns
    a$ = a$ + getdata$() + " "
    restore  twosyllableverbs
    a$ = a$ + getdata$() + "\n"

    //second line
    b$="We "
    restore  threesyllableverbsplural
    b$ = b$ + getdata$() + " "
    restore  threesyllableadverbs
    b$ = b$ + getdata$() + "\n"

    
    //third line
    restore  twosyllableverbsplural
    c$ = c$ + getdata$() + " "
    left$(c$, 1) = upper$(left$(c$, 1))
    restore  threesyllableadverbs
    c$ = c$ + getdata$() + "!"
    

    //concatenate    
    d$= a$ + b$ + c$
    print d$
    
    end
end sub

sub structure5()
    local a$, b$, c$, d$
    //Haiku structure:
    //5 verbverb advadvadv
    //7 adjadjadj nounnouns verbverb
    //5 nounnounnounnounnoun

    //first line
    restore twosyllableverbsplural
    a$ = a$ + getdata$() + " "
    left$(a$, 1) = upper$(left$(a$, 1))
    restore threesyllableadverbs
    a$ = a$ + getdata$() + "\n"
    
    //second line
    restore threesyllableadjectives
    b$=getdata$() + " "
    left$(b$, 1) = upper$(left$(b$, 1))
    restore  twosyllablenounsplural
    b$ = b$ + getdata$() + " "
    restore twosyllableverbsplural
    b$ = b$ + getdata$() + "\n"

    //third line
    restore fivesyllablenouns
    c$=getdata$() + "."
    left$(c$, 1) = upper$(left$(c$, 1))

    //concatenate    
    d$= a$ + b$ + c$
    print d$
    
    end
end sub

########################################
###DATA statements come here###
########################################

label twosyllablenouns
data "abbess", "octant", "flashlight", "fleabag", "fledgling", "gelatin"
data "teepee", "abbot", "olive","inchworm", "beanbag", "templar", "taboo", "gelding"
data "aery", "adult", "adman", "adieu", "acne", "account", "accord"
data "bravo", "brainstorm", "bloomer", "billfold", "beldam", "barhop", "baboon","berserk", "bighorn"
data "curler", "creole", "cogwheel", "cocoon", "coalbin", "clover", "clamshell", "cinder", "chamber", "camshaft", "caliph", "caiman", "cabal"
data "dyer", "dumbbell", "dualism", "draftee", "doughboy", "doctor", "dhoti", "demo", "decal", "deathbed", "deacon", "darling", "dabbler"
data "entree", "ennui", "engram", "emu", "emir", "emcee", "ember", "eland", "eggnog", "effect", "eddy", "easel", "eagle"
data "fastball", "fascist", "farthing", "farmyard", "farmer", "fantail", "fandom", "falcon", "fakir", "faker", "facet", "fabric", "fable"
data "gabber", "gable", "gadfly", "gaggle", "galley", "galoot", "gambit", "gangster", "garnet", "garret", "gasbag", "gasket", "gaucho"
data "habit", "hackman", "hackle", "hinge", "highland", "highball", "hickey", "herring", "heron", "hermit", "helmet", "hearsay", "headway"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quidnunc", "quizzer", "quiche", "quetzal", "quagga", "quaestor", "quadrant"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wryneck", "wryness", "wurzel", "writher", "wombat", "witchcraft", "wigwam", "wholism", "wencher", "wainscot", "wainwright", "waitress", "waldorf"
data "xylem", "xyster", "xmas", "xystus", "xerox", "xenon"
data "yachtsman", "yardarm", "yearner", "yenta", "yucca", "yoghurt", "yippie", "yeti", "yearbook", "yankee", "yahoo"
data "zodiac", "zendo", "zeitgeist", "zebra", "zazen"
data "_endofdata_"

label threesyllablenouns
data "abacus", "abaser", "abattoir", "octangle", "flashforward", "zucchini"
data "abalone", "zouave", "incense", "abdomen", "tsarina", "aberrants"
data "amulet", "ambulator", "agouti", "affaire", "acolyte", "acacia", "abrader"
data "bolshevik", "bluebonnet", "bloodsucker", "blockbuster", "blasphemer", "bivouac", "bachelor", "blackmailer", "beluga", "bellwether", "basement", "bacterium", "backslider"
data "clematis", "catalyst", "catapult", "certainty", "christendom", "circumflex", "clavichord", "clingstone", "cowpuncher", "cryostat", "customer", "cypriot", "czarina"
data "dynamo", "dunderhead", "duello", "draftsmanship", "doughtiness", "document", "diadem", "demigod", "decanter", "debauchee", "deaconess", "darwinist", "dakotan"
data "engine", "encampment", "enabler", "emperor", "emerald", "embezzler", "electron", "elector", "egotist", "effendi", "editor", "earthquake", "earache"
data "fetishist", "ferryboat", "felucca", "felony", "fellowman", "fellaheen", "feline", "featherweight", "featherbed", "faultfinder", "fatherland", "fatalism", "fastener"
data "gazetteer", "gemstone", "general", "genesis", "gingersnap", "gigolo", "gigaton", "gigabit", "giantess", "ghostwriter", "germantown", "gentleman", "genteelness"
data "hinderer", "homestead", "homeroom", "hologram", "hollowing", "hollander", "hoecake", "hobbyist", "hoarsening", "historian", "histamin", "hinterland", "hindquarter"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quadruped", "quagmire", "qualifier", "quarterback", "quatrefoil", "quitrent", "quiote"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "woomera", "woolsorter", "winepress", "wickerwork", "whoreson", "whaleboat", "weregild", "weatherworm", "walkover", "wallflower", "wallower", "wanderlust", "warehouse"
data "xylitol", "xylograph", "xylotomy", "xanthoma", "xenograft", "xenolith"
data "yodeler", "yokemate", "yugoslav"
data "zionist", "zitherist", "zoophobia", "zooplankton", "zucchetto", "zambian"
data "_endofdata_"

label fivesyllablenouns
data "absentmindedness", "zoogeography", "hypochondriac","immorality", "impermanence"
data "ambiguousness", "academicism", "censoriousness", "directorates", "disapprobation"
data "anesthesia", "disarrangement", "deaccessioning", "eccentricities", "effeminacy", "anniversaries"
data "absoluteness", "apocalypse", "acromegaly", "abstentionism", "abstemiousness"
data "alliteration", "california", "abomination", "discrimination", "personality"
data "photosynthesis", "syllabication", "Abominable", "marijuana", "Commensalism"
data "constantinople", "pennsylvania", "serendipity", "organisation", "imagination"
data "electricity", "exacerbation", "curiosity", "multiplication", "anniversary"
data "apocalypse", "appreciation", "louisiana", "communication", "acceleration"
data "everybody", "mummification", "annunciation", "illuminati", "appropriation"
data "generosity", "excoriation", "trigonometry", "globalisation", "procrastination"
data "colonisation", "felicitation", "civilisation", "abbreviation", "abracadabra"
data "deforestation", "exasperation", "depreciation", "gentrification", "extraordinary"
data "pulchritudinous", "infatuation", "afforestation", "collaboration", "patriotism"
data "awesomeness", "congratulations", "anticipation", "evacuation", "elimination"
data "cosanguinity", "confederation", "philadelphia", "schizophrenia", "multiprogramming"
data "intolerable", "encouragement", "understandable", "opportunity", "sectionalism"
data "teleprocessing", "degeneration", "kleptomania", "plagiarism", "hypothermia"
data "supernatural", "asphyxiation", "absenteeism", "thessalonica", "unacceptable"
data "sagittarius", "equilibrium", "aboriginal", "transubstantiation", "possibilities"
data "overcomable", "infidelity", "primogeniture", "overachiever", "absentmindedness"
data "pandemonium", "regimentation", "politician", "aphrodisiac", "expressionism"
data "animosity", "justification", "cannibalism", "renunciation", "enthusiasm"
data "disability", "positivity", "astronomica", "equivocation", "sensitivity"
data "acculturation", "ridiculousness", "metamophosis", "accompaniment", "cornucopia"
data "abachronism", "extravaganza", "baccalaureate", "hypersomnia", "Stradivarius"
data "actuality", "juxtaposition", "extrapolation", "tasmania", "arianism"
data "carnivorousness", "pertinacity", "tyrannosaurus", "esoterica", "michelangelo"
data "intercalation", "mccarthyism", "teleportation", "gerrymandering", "elaboration"
data "behaviorist", "mercantilism", "academia", "canonisation", "americana"
data "abstemiousness", "capitalism", "hypnophobia", "miscegenation", "cordiality"
data "quadrumvirate", "haberdasheries", "xenophobia", "wyomingite", "wisconsinite"
data "_endofdata_"

label twosyllablenounsplural
data "abbots", "zulus", "allies", "teepees", "zombies", "templars", "taboos", "canyons"
data "aliens", "alerts", "albums", "alarms", "airheads", "airfoils", "affronts"
data "bravos", "brainstorms", "bloomers", "blindfolds", "beldams", "barhops", "baboons","berserks", "bighorns"
data "cynics", "cyborgs", "cuttings", "culverts", "cubans", "crabbers", "cockscombs", "clarets", "ciphers", "chaplains", "cedars", "cabers", "cabbies"
data "deadwoods", "dandies", "daddies", "deviants", "disproofs", "districts", "doorjambs", "doylies", "dragnets", "dropkicks", "dummkopfs", "dutchmen", "dybbuks"
data "ewes", "evils", "eunuchs", "ethics", "essays", "escorts", "errors", "ergots", "eras", "equals", "epochs", "epees", "entries"
data "finals", "filmstrips", "fillings", "figments", "fighters", "fiestas", "fiefdoms", "fiddles", "fiches", "fibers", "fezzes", "fevers", "fetters"
data "garglers", "gardens", "garcons", "gapers", "gantries", "gannets", "gambles", "gallows", "gallnuts", "galleys", "gaiters", "gainers", "gadgets"
data "hotheads", "hostlers", "hostels", "hornbills", "hoptoads", "hoopsters", "hookahs", "hoofbeats", "hoodlums", "honours", "honkers", "honers", "honchos"
data "hackneys", "hackers", "habits", "hydrants", "hybrids", "huskies", "hurters", "hurrahs", "hunches", "humpbacks", "hummers", "humbugs", "humans"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quotas", "quintets", "quibblers", "quarriers", "quakers", "quahaugs", "quacksters"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wrynecks", "wrenches", "wrasses", "woodwinds", "whooshes", "wherries", "wasters", "washcloths", "warthogs", "warrants", "warpaths", "warlocks", "warheads"
data "xylems", "xymenes", "xysters"
data "yanquis", "yardbirds", "yearlings", "yelpers", "yokels", "youngsters", "yuppies"
data "zlotys", "zombis", "zephyrs", "zebus", "zealots"
data "_endofdata_"

label threesyllablenounsplural
data "caracals", "abaci", "abasers", "abbacies", "octopi", "idioms"
data "canvases", "abattoirs", "abbesses", "octuplets", "incentives"
data "slaughterers", "analysts", "abiders", "abilities"
data "auctioneers", "armatures", "amerinds", "acronyms", "acrobats", "accordions", "acclaimers", "abrogators"
data "bumblers", "bulldogs", "bugles", "bonbons", "boas", "blackguards", "bishops", "birdbrains", "battles", "bandstands", "ballpoints", "backslaps", "backbones"
data "cypriots", "cyclecars", "cuttlefish", "cupbearers", "cuirasses", "crackerjacks", "codewords", "clergymen", "circuses", "charwomen", "censures", "cadillacs", "cabinets"
data "dealerships", "damozels", "daffodils", "detectors", "dispersals", "dissenters", "donators", "dovetails", "dragonflies", "dressmakers", "dukedoms", "duplexes", "dysfunctions"
data "examinees", "evocators", "euphemisms", "eulogies", "estates", "escudos", "escapes", "ermines", "equerries", "equations", "episodes", "epiderms", "envelopes"
data "firehouses", "firebugs", "firebirds", "fireballs", "firearms", "finishers", "fingertips", "fingerprints", "fingernails", "fingerlings", "fingerboards", "fineries", "financiers"
data "gestures", "georgians", "gentlefolk", "generals", "gearcases", "gazetteers", "gazelles", "gaucheries", "gatherers", "gateposts", "gatemen", "gastropods", "gargoyles"
data "hydrators", "hyaenas", "husbandmen", "humorists", "hummingbirds", "humidors", "humdingers", "humanisms", "hubrises", "hovercrafts", "housecoats", "hourglasses", "hothouses"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quaverers", "quaaludes", "quandaries", "quarterdecks", "quaysides", "quickenings", "quintuplets"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wrynesses", "wrongdoers", "wormholes", "worldbeaters", "woodpeckers", "withdrawals", "wishbones", "whoredoms", "weaknesses", "wavefronts", "watersheds", "waterfronts", "watchtowers", "windowpanes", "winemasters", "winebibbers", "wildebeests"
data "xmases", "xanthomas", "xeroxes"
data "yodellers", "yesterdays", "yeshivoth", "yardmasters", "yarmulkes", "yammerers", "yachtswomen"
data "zinnias", "zoologists", "zoophiles", "zoomorphs", "zucchinis", "ziggurats", "zeppelins"
data "_endofdata_"

label twosyllableverbs
data "backfills", "implies", "abducts","backhands","abets"
data "awaits", "avows", "avoids", "averts", "avails", "authors", "augers"
data "burthens", "butchers", "breathes", "bounces", "borrows", "bickers", "bevels", "bellows", "begets", "bedecks", "bedamns", "bargains", "backbites", "babbles"
data "chamfers", "censors", "catnaps", "caters", "captions", "capers", "canters"
data "combats", "combusts", "comforts", "commits", "coopts", "copies", "cordons", "corrupts", "co-stars", "covets", "cuddles", "curtails", "curves"
data "dwindles", "duels", "downshifts", "downlinks", "dodders", "disrupts", "directs", "dimples", "defleas", "deducts", "debarks", "darkens", "dallies"
data "embroils", "embarks", "embalms", "elects", "elbows", "ejects", "effects", "edges", "echoes", "exhorts", "exclaims", "excels", "exceeds"
data "flexes", "flenses", "fleeces", "flavour", "flatters", "flattens", "flares", "flames", "flakes", "fizzes", "fixes", "fishes", "fires"
data "gobbles", "gnashes", "glories", "glories", "glitters", "glimpses", "glazes", "glares", "gladdens", "girdles", "gingers", "gibes", "gibbers"
data "hatches", "hassles", "harrumphs", "harrows", "harbours", "hangeth", "handcuffs", "handcrafts", "hallmarks", "haircuts", "hackles", "hypos", "hypes"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quotes", "quitclaims", "quickens", "questions", "queries", "quarters", "quarrels"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "writhes", "writes", "weewees", "wearies", "whishes", "whinnies", "whiffles", "wheezes", "wheedles", "whammies", "welches", "weathers", "weasels"
data "yellows", "yodels"
data "zizzles", "zones"
data "_endofdata_"

label threesyllableverbs
data "abandons", "imperils", "overload", "overlooks", "televiews", "canvases"
data "annexes", "anguishes", "alleges", "alarums", "afforests", "absolves", "abridges"
data "bemuses", "belittles", "believeth", "belabours", "bedraggles", "bedazzles", "beatifies", "bashes", "barnstorms", "bargains", "banishes", "balances", "backwashes", "backdates"
data "coheres", "coiffures", "collates", "colludes", "commingles", "compasses", "convulses", "copyrights", "corresponds", "counterclaims", "covenants", "crucifies", "crusades"
data "disappears", "disaffects", "disables", "denounces", "denatures", "demotes", "demonizes"
data "declares", "dandifies", "dysfunctions", "downsizes", "domineers", "dissuades", "disrobes", "dilutes", "deflowers", "defiles", "deceives", "debates", "damages"
data "emerges", "embroiders", "emblazons", "embezzles", "eludes", "elopes", "elongates", "elegises", "elapses", "exiles", "excuses", "excludes", "excises"
data "forgathers", "forestalls", "foresees", "foregoes", "forefends", "foredooms", "forecasts", "forearms", "forbodes", "forages", "footnotes", "focuses", "flourishes"
data "gestate", "glorifies", "genuflects", "gazettes", "garottes", "garnishes", "gallivants", "grimaces", "gradates"
data "housecleans", "horrifies", "hornswoggles", "horsewhips", "honoureth", "honeymoons", "hitchhikes", "hedgehops", "headquarters"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quintuples", "quadrates", "qualifies", "quantifies", "quicklimes", "quietens", "quadruples"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "woolgathers", "wiretaps", "welcomes", "waterproofs", "waterlogs", "warrantees", "warmongers", "wallpapers", "witnesses", "wisecracks", "wiredraws", "whitecaps"
data "xeroxes"
data "_endofdata_"

label twosyllableverbsplural
data "canvas", "worship", "imply", "silkscreen", "abhor"
data "accept", "abut", "attract", "attack", "arrest", "answer", "anoint", "annoy"
data "blitzkrieg","bootleg", "border", "bottle", "brainwash", "brandish", "brazen", "brevet", "brighten", "bronze", "browse", "buffet", "burgle", "burrow", "bushwack", "bypass"
data "cache", "cycle", "curdle", "cuddle", "crossbreed", "crochet", "cradle", "confer", "coddle", "coarsen", "cluster", "clodhop", "cleanse"
data "delist", "dehorn", "defoam", "deepen", "decry", "decoct", "declaim", "debrief", "deadhead", "dawdle", "dangle", "dampen", "dabble"
data "enter", "ensoul", "enrich", "enjoy", "engraft", "enfold", "endow", "encrypt", "encrust", "enchain", "empty", "employ", "emit"
data "fritter", "frighten", "freshen", "freeze", "freakout", "frazzle", "founder", "foster", "forward", "forswear", "format", "forgo", "forget"
data "glisten", "glimpse", "gladden", "girdle", "gimbal", "gentle", "gather", "garner", "garden", "gamble", "gallop", "gainsay", "gaffe"

//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quarrel", "queue", "quarter", "question", "quicken", "quiet", "quiver"
//data "", "", "", "", "", "", ""
//data "", "", "", "", "", "", ""
//data "", "", "", "", "", "", ""
//data "", "", "", "", "", "", ""
//data "", "", "", "", "", "", ""
//data "", "", "", "", "", "", ""
data "writhe", "write", "weewee", "weary", "whinny", "whiffle", "wheedle", "whammy", "weather", "weasel", "wrestle", "wassail", "weaken"
data "yodel", "yellow"
data "zigzag"
data "_endofdata_"

label threesyllableverbsplural
data "abandon", "impose", "analyse", "abnegate", "abolish", "overload", "overlook", "teleview"
data "advise", "antique", "arouse", "arrange", "astonish", "automate", "awaken"
data "beautify", "ballyhoo", "backspace", "bamboozle", "bedizen", "belittle", "benefit", "bespatter", "besprinkle", "bewilder", "blockade", "bludgeon", "boomerang", "boondoggle"
data "calcify", "cajole", "currycomb", "curate", "culture", "crucify", "create", "condole", "cognise", "coexist", "co-author", "coalify", "co-admit"
data "delouse", "delete", "degrade", "defuse", "deforest", "define", "deface", "deduce", "decode", "decline", "decide", "decipher", "debase"
data "embellish", "embargo", "elaborate", "efface", "edify", "eavesdrop"
data "entice", "enthrone", "enslave", "enrage", "ennoble", "enlist", "engrave", "enframe", "endure", "encourage", "encage", "enamel", "emote"
data "foresee", "foreknow", "forego", "footnote", "fixate", "firebomb", "finance", "finagle", "filtrate", "feature", "fatigue", "falsify", "frustrate"
data "gestate", "glorify", "genuflect", "gazette", "garotte", "gallivant", "grimace", "gradate", "gatecrash"
data "houseclean", "horrify", "hornswoggle", "horsewhip", "honoureth", "honeymoon", "hitchhike", "hedgehop", "headquarter"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quadrate", "qualify", "quantify", "quickstep", "quintuple", "quieten", "quantize"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "woolgather", "wiretap", "welcome", "waterproof", "waterlog", "warrantee", "warmonger", "wallpaper", "wisecrack", "wiredraw", "whitecap"
data "_endofdata_"

label onesyllableverbsplural
data "tack", "beat", "bed", "beep", "beg", "gel", "sin", "bend", "bet", "blush", "burst"
data "blitz", "blip", "blind", "blend", "bleep", "bleed", "blab", "bin", "bilk", "bid"
data "deal", "cite", "churn", "chirp", "chill", "char", "catch", "blur", "block", "bloat"
data "drift", "dreg", "draw", "drag", "don", "doff", "dig", "dial", "dent", "dean", "brag"
data "feign", "feel", "feed", "farm", "fan", "fall", "fail", "end", "blink", "blow" , "burp"
data "grind", "grill", "grasp", "gain", "gag", "fry", "frisk", "free", "form", "fool"
data "ship", "sheer", "seek", "smell", "hear", "see", "seat", "scrap", "rend", "rear"
data "yowl", "yip", "yield", "yuk", "zip", "zoom", "zag", "zig", "arm", "aid", "build"
data "aim", "air", "arc", "ask", "quip", "quit", "bale", "ban", "bar", "bask", "bat", "bell"
data "clean", "claim", "churn", "chop", "chill", "chant", "cask", "cart", "carp", "cap", "can", "call", "calk"
data "ebb", "eat", "dry", "drink", "dart", "dash"
data "flail", "fizz", "fix", "fit", "find", "fill", "feint", "feign", "feel", "fear", "fax"
data "gyp", "gush", "guess", "grunt", "grub", "grin", "grip", "grow", "greet", "graft", "go", "gnaw", "glow"
data "heat", "hear", "heap", "heal", "haw", "haul", "hath", "harp", "hang", "halt", "hail", "had", "hack"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wrap", "wow", "woof", "whelp", "want", "ward", "warm", "warn", "watch", "wait", "wax", "wear", "weep"
data "_endofdata_"

label onesyllableadjectives
data "blue", "odd", "worst", "few", "bent", "best","red", "brown", "black", "pink", "dead"
data "green", "dean", "blind", "deaf", "blent", "blest", "blank", "bland", "bind", "big"
data "fresh", "free", "frank", "frail", "fond", "fat", "fast", "far", "fair", "drab"
data "raw", "rash", "rank", "low", "lax", "hot", "grim", "grey", "fund", "full", "brief"
data "worn", "full", "tart", "slim", "slick", "shy", "sent", "scrap", "torn", "real"
data "built", "bluff", "blunt", "brisk", "bright", "bad", "quick", "all", "aft", "young", "born", "boss", "boy"
data "crass", "crap", "crack", "cloth", "cheap"
data "dull", "due", "dry","dark", "dank"
data "grim", "green", "greek", "grown", "great", "grand", "gruff", "good", "gnawn", "glib", "glad", "gold", "gilt", "gay", "grey"
data "hit", "hep", "hip", "hind", "hick", "hex", "heard", "Hun", "ham", "half", "hot"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wry", "wrong", "worst"
data "_endofdata_"

label twosyllableadjectives
data "synched", "shrimpy", "inept", "pearly", "pebbly", "swirly", "caput","able","silken", "sane"
data "anglo", "alien", "alert", "airless", "adroit", "abstract", "abrupt"
data "banshee", "barmy", "berber", "beta", "bibless", "blondish", "boggling", "boring", "boyish", "broader", "broken", "bumbling", "bushier", "buxom"
data "crystal", "cryptic", "coral", "coital", "codal", "coastal", "clonal", "choral", "central", "caudal", "causal", "carnal"
data "dwarfed", "dusty", "durndest", "dullish", "dryest", "drugged", "droller", "drilled", "dreary", "dreaded", "doubtful", "doting"
data "earnest", "eager", "extra", "extinct", "extant", "expert", "evil", "even", "ethnic", "errant", "ernest", "erect", "equal"
data "fearful", "fatal", "faster", "fanged", "fancy", "fallow", "faked", "fairest", "faintest", "failed", "faded", "faddish", "factful"
data "grieving", "grinning", "grizzled", "groomed", "grossest", "grouted", "grownup", "gruntled", "guarded", "guilty", "gutted", "guzzled", "gyral"
data "hokey", "hipper", "hilted", "highbrow", "herded", "helpless", "heinous", "hefty", "heeded", "heckled", "heaving", "heathy", "heathen", "has-been"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quirky", "quippish", "queenly", "queasy", "quasi", "quaggy", "quackier"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wryest", "wrothful", "wrinkled", "wetter", "wheaten", "whelming", "whirled", "whistling", "whiter", "winking", "wincing", "wily", "wigged"
data "xanthic", "xyloid"
data "yummy", "yoked", "yogic", "yellow"
data "zesty", "zestful", "zebroid"
data "_endofdata_"

label threesyllableadjectives
data "overlong", "abashed", "zygotic", "zippered", "immoral", "incensed"
data "teetotal", "immortal", "inert", "infernal", "abducted", "abiotic"
data "captured", "insane", "abnormal", "fantastic", "generic", "genial"
data "avenging", "audible", "atonal", "archducal", "anointed", "annealed", "animist"
data "barefoot", "bespangled", "betrothed", "biforked", "bloodthirsty", "bombastic", "bottommost", "bourgeois", "brocaded", "bronchial", "browbeaten", "burnable", "butterier", "bypassed"
data "clinical", "clerical", "classical", "circuital", "chemical", "cerebral", "casual", "cardinal", "cantonal", "cannibal", "cameral", "caliphal", "caesural"
data "duplexed", "duteous", "durable", "dumfounded", "duelling", "drowsiest", "droopiest", "downsized", "coctrinal", "doable", "discounted", "datable", "damnable"
data "explicit", "expelled", "exotic", "excited", "excelling", "euphoric", "ethical", "erratic", "eroded", "erased", "envision", "entwisted", "entire"
data "filagreed", "fermented", "febrile", "fearfully", "fatuous", "farrowed", "farfetched"
data "gluttonous", "gnawable", "goodlier", "gossamer", "governed", "graceful", "gradated", "granular", "graphical", "grassiest", "gratified", "graveled", "grecian"
data "humored", "humanest", "hulloed", "huggable", "huckstering", "hotblooded", "hostessed", "hortative", "horrified", "horrible", "hornswoggled", "hooknosed", "honestest"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "quiescent", "querulous", "quenchable", "quarrelling", "quotable", "quizzical", "quixotic"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wrinkliest", "wraparound", "wireless", "winnable", "wetsuited", "westernmost", "workable", "wordiest", "womanish", "withholden", "wispier", "wintriest", "winsome"
data "yeasty", "youthened"
data "xeroxed"
data "_endofdata_"

label twosyllableadverbs
data "truly", "oddly", "gladly", "badly", "ably", "archly", "idly", "tautly"
data "slackly", "aptly", "numbly", "partly", "patly", "subtly", "sweetly"
data "swiftly", "tartly", "vainly", "vastly", "yearly", "waggly", "wanly"
data "wrongly", "wildly", "weakly", "warmly", "weirdly", "wetly"
data "blandly", "blackly", "quaintly", "quickly", "wryly", "briefly", "boldly", "bluntly", "bleakly", "blankly"
data "curtly", "coyly", "coldly", "coolly", "chiefly", "cheaply"
data  "deftly", "deeply", "deadly", "dankly", "damply", "daily", "daftly"
data "early", "earthly"
data "fully", "freely", "frankly", "frailly", "foully", "flatly", "firmly", "feebly", "fatly", "fairly", "faintly"
data "gruffly", "grossly", "grimly", "grandly", "glumly", "glibly", "gladly", "gently", "gauntly", "gaily"
data "hackly", "haply", "harshly", "highly", "hotly", "hourly", "humbly", "haily"
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
//data "", "", "", "", "", "", "", "", "", "", "", "", ""
data "wryly", "wrongly", "wanly", "weekly"
data "_endofdata_"

label threesyllableadverbs
data "tryingly", "flauntingly", "wontedly","ineptly", "inertly", "infirmly"
data "silently", "abjectly", "abruptly", "absently", "abstractly", "absurdly"
data "sinfully", "acidly", "acridly", "adeptly", "adroitly", "affably", "airily"
data "sinlessly", "alertly", "alienly", "aloofly", "angrily", "apishly", "ardently"
data "arrantly", "artfully", "astrally", "audibly", "augustly", "baldly", "balmily"
data "banally", "barely", "humidly","hungrily", "icily", "ideally", "ignobly"
data "inaptly", "nosily", "nuttily", "oafishly", "openly", "ovally", "owlishly"
data "palely", "pallidly", "paltrily", "peppily", "supplely", "sveltely", "tangibly"
data "papally", "patently", "peevishly", "superbly", "tackily", "tamely", "tardily"
data "parlously", "sulkily", "surely", "sweatily", "tacitly", "tastily", "taxably"
data "patchily", "sunnily", "swankily", "tawdrily", "tearfully", "teasingly"
data "untiringly", "uprightly", "upwardly", "urbanely", "urgently", "usefully", "utterly"
data "venally", "variedly", "vapidly", "validly", "vaguely", "vagrantly", "vacantly"
data "venially","verdantly", "verbally", "ventrally"
data "airlessly", "aimlessly", "aimfully", "aguishly", "aerily", "adjunctly", "achingly", "anciently", "armlessly", "artlessly", "aurally", "avidly", "awfully", "awkwardly"
data "blatantly", "blamably", "bitterly", "bitingly", "beefily", "bearably", "beadily", "backwardly", "bawdily", "bashfully", "basely", "basally", "barrenly", "balkily", "baggily"
data "cordlessly", "compactly", "chidingly", "cheesily", "cheerfully", "cheekily", "centrally", "chastely", "charily", "chancily", "certainly", "cagily", "caddishly"
data "deathlessly", "dazedly", "daringly", "dapperer", "damnably", "daintily"
data "expressly", "expertly", "exactly", "evenly", "erringly", "erectly", "equally", "elfishly", "elderly", "eerily", "eastwardly", "easily"
data "fiendishly", "feudally", "fervidly", "fervently", "fecklessly", "feasibly", "fawningly", "fatherly", "fatally", "famously", "falsely", "fallibly", "fadedly"
data "gloomily", "gleefully", "glancingly", "giftedly", "giddily", "gawkily", "gauzily", "gaudily", "gauchely", "garishly", "gamely", "gallantly", "gainfully"
data "handily", "haplessly", "happily", "hardily", "hardly", "hastily", "haughtily", "hazily", "helplessly", "huffily", "hornily", "heedlessly", "heavily"
data "quotably", "quirkily", "quietly", "qualmishly", "quakingly", "quackishly", "quakily"
data "watchfully", "waspishly", "waspily", "warily", "wantonly", "wailfully"
data "wackily", "waterily", "wavily", "waxily", "waywardly", "wearily"
data "weaselly", "weedily", "weevilly", "weightily", "weightlessly"
data "westerly", "westwardly", "wheezily", "whiningly", "wickedly", "widely"
data "wilfully", "willfully", "willingly", "windily", "wingedly"
data "winningly", "winterly", "wintrily", "wirily", "wisely", "wishfully"
data "wispily", "wistfully", "witlessly", "wittily", "wittingly", "wizardly"
data "woefully", "wondrously", "woodenly", "wooingly", "woozily", "wordily"
data "wordlessly", "worriedly", "worthily", "worthlessly", "woundingly"
data "wrongfully", "writhingly", "wretchedly", "wrathfully"
data "youthfully", "yeomanly", "yellowly", "yeastily", "yearningly"
data "zonally", "zestfully", "zealously", "zanily"
data "_endofdata_"