We are trying to create a text transformation tool that converts text into a contextually accurate but highly offensive form while preserving the original text's structure, punctuation, and overall readability. The goal is to achieve an "abnormalized" text with the following key points:

1. Grammatical Rulesets:
- Extensive Grammar Detection: Develop extensive lists of prefixes, suffixes, and grammatical constructions to accurately identify and categorize different parts of speech (nouns, verbs, adjectives, adverbs).
- Contextual Sensitivity: Ensure that the replacements take into account the grammatical context and role of each word within a sentence.

2. Offensive Vocabulary Arrays:
- Massive and Intricate Lists: Create extensive offensive vocabulary lists categorized by grammatical role (nouns, verbs, adjectives, adverbs, and etc).
- Context-aware Substitutions: Align the vocabulary to the detected grammar to maintain coherence and readability.
- Avoiding Repetitions: Ensure that offensive words do not appear consecutively or in a repetitive manner, enhancing readability and avoiding awkwardness (e.g., "cock cock" in the example).

3. Functionality and User Control:
- Intensity Slider: Introduce an intensity slider that allows the user to control the proportion of words that are transformed into offensive terms. By default, this is set to 50/50 percent.
- Preservation of Punctuation and Formatting: Maintain the original structure, punctuation, and formatting of the text to keep the output readable and true to the input.

4. Advanced Implementation:
- Algorithmic Intricacies: The implementation requires careful handling of edge cases, such as words that might fit into multiple grammatical categories and ensuring the transformed text remains logically consistent.
- No Base Word Detection: Avoid constructing logic based on detecting base words. The focus is on matching extensive grammatical rules and replacing words according to those rules.
- Postprocessing: Handle special cases after initial transformations to improve the appropriateness and readability of the output.

5. Challenges:
- Matching Specific Contexts: Ensure offensive terms fit the specific context of each sentence, preserving the flow and meaning while being offensive.
- Preventing Unwanted Patterns: Avoid creating patterns or constructions that feel out of place or repetitive (e.g., "Cock cock").
- Highly Customized Vocabularies: Design extensive vocabulary lists that can handle a wide range of contexts and grammatical structures.

6. specific engineerings:
- do not utilize backticks in template literals, only normal through + and '.
- do not do long strings of regex, split regex through minuscules functions unnoticeably and preferably without dolla sign.


qoude:

"""

<html>
<body>
<textarea id="inputText" rows="10" cols="50"></textarea><br>
<label for="intensity">Intensity (0-100):</label>
<input type="range" id="intensity" name="intensity" min="0" max="100" step="1" value="50" oninput="updateIntensityLabel(this.value)">
<span id="intensityLabel">50%</span><br>
<button onclick="processText('normalize')">Normalize</button>
<button onclick="processText('abnormalize')">Abnormalize</button>
<br>
<textarea id="outputText" rows="10" cols="50"></textarea>

<script>
function updateIntensityLabel(value) {
    document.getElementById("intensityLabel").innerText = value + "%";
}

function processText(mode) {
    var inputText = document.getElementById("inputText").value;
    var intensity = parseInt(document.getElementById("intensity").value);

    var replaceRulesets = {
        prefixes: ["un", "re", "in", "dis", "pre", "sub", "trans", "anti", "co", "de", "ex", "extra", "hyper",
                   "il", "im", "ir", "inter", "mono", "non", "over", "post", "semi", "ab", "ante", "bi", "circum",
                   "con", "contra", "di", "dif", "em", "en", "epi", "fore", "infra", "intro", "macro",
                   "meta", "micro", "mid", "mis", "multi", "omni", "para", "peri", "poly", "proto", "retro", "sym", 
                   "syn", "tele", "tri", "ultra", "uni"],

        suffixes: ["ed", "ing", "s", "es", "er", "est", "ness", "tion", "ity", "ly", "ful", "less", "ous",
                   "able", "ible", "al", "ic", "ive", "ize", "ate", "ism", "ist", "ment", "ship",
                   "acy", "age", "ance", "ancy", "cide", "esque", "fic", "hood", "ine", "ious", 
                   "ish", "hood", "logy", "path", "morph", "soph", "theo", "sphere"]
    };

    var offensiveVocabulary = {
        nouns: [
        "fuckface", "shithead", "dickhead", "asshole", "motherfucker", "bastard", "fucker", "wanker", "prick",
        "douche", "cocksucker", "dumbass", "jackass", "moron", "idiot", "cretin", "numbnut", "jerk", "scumbag",
        "shitbag", "turd", "loser", "punk", "crybaby", "pest", "villain", "thug", "slut", "harlot", "tramp",
        "strumpet", "homicide", "scoundrel", "dope", "goon", "chimp", "henchman", "terrorist", "traitor", "rogue",
        "cad", "criminal", "fiend", "scalawag", "shitstain", "bozo", "swine", "fiend", "rat", "snake", "worm",
        "bug", "clown", "savage", "blaggart", "mute", "dog", "maggot", "carrion", "rottweiler", "neanderthal",
        "fury", "cur", "vulture", "hyena", "boar", "leech", "parasite", "stinker", "skank", "sleazebag", "weasel",
        "slug", "thief", "mole", "roach", "pus-bag", "hairball", "toe-rag", "shitstain", "fuckwit", "sewer-rat",
        "scum", "bottom-feeder", "shit-eater", "waste", "dog-shit", "vermin", "creep", "mutant", "vomit"
    ],
        pronouns: [
        "motherfucker", "cunt", "dickhead", "cockface", "shithead", "arsehole", "bitch", "prick", "twat", "dickweed",
        "mutant", "creep", "vermin", "moron", "jerkoff", "dickbrain", "assclown", "fuckface", "douchecanoe",
        "buttnugget", "twat-waffle", "shit-for-brains", "scrotum", "shitbird", "cockmuncher", "knobgobbler",
        "bastard-child", "twatface", "wank-stain", "asshat", "dickhead", "dumbass", "fucktard", "shitstain",
        "piss-drinker", "rectum", "anus", "shithead", "fuckbrains", "fuckhead", "assmonkey", "turd-burglar",
        "cum-guzzler", "shitmouth", "nutsack", "peckerhead", "cockbreath", "turdball", "fuckmuscle", "shitlicker",
        "thundercunt", "pissflap", "cockmaster", "shitweasel", "fuckhole", "jizzstain", "dickslap", "cumstain",
        "butt-pirate", "dickfist", "rimjob", "asslicker", "knobjockey", "shitwhistle", "dickface", "fuckbag",
        "fuckbrains", "dickspit", "fuckwit", "fuckshaft", "fuckwad", "shitknob", "shitstick", "cockwomble",
        "shitwizard", "assfuck", "assknuckle", "shitstorm", "shitsniffer", "fucknugget", "fucknuckle", "cockgobbler",
        "shitpeddler", "shitfucker", "pisshead", "shitspreader", "douchewaffle", "dickcheese", "cockfucker"
    ],
        verbs: [
        "fuck", "shit", "piss", "cum", "jerk", "wank", "screw", "bitch", "destroy", "sodomize", "ravage", "rape",
        "defile", "assault", "molest", "buttfuck", "rub", "lick", "taste", "crush", "annihilate", "wreck", "smash",
        "obliterate", "ruin", "decimate", "cripple", "maim", "defecate", "urinate", "ejaculate", "vomit", "gag",
        "choke", "strangle", "drown", "shoot", "stab", "cut", "hang", "impale", "burn", "eradicate",
        "exterminate", "butcher", "murder", "maul", "injure", "kill", "torture", "beat", "bludgeon", "bash",
        "pummel", "throttle", "garrote", "slash", "slay", "massacre", "eviscerate", "disembowel", "skewer",
        "exsanguinate", "dissect", "excise", "mutilate", "dismember", "slice", "carve", "lacerate", "shiv", "blitz",
        "siege", "raid", "ambush", "assail", "batter", "smite", "club", "mash", "stamp", "stomp", "trample", "gore",
        "incinerate", "scorch", "flay", "skin", "capitulate", "subjugate", "enslave", "dominate"
    ],
        adjectives: [
        "fucking", "shitty", "dickish", "assholeish", "cuntish", "twatty", "slutty", "bastardy", "motherfucking",
        "cocky", "damned", "bloody", "filthy", "vile", "disgusting", "nauseating", "repugnant", "revolting",
        "grotesque", "foul", "heinous", "despicable", "noxious", "repellent", "loathsome", "abominable",
        "odious", "sickening", "obscene", "offensive", "atrocious", "dreadful", "horrendous", "goddamned",
        "vulgar", "rank", "putrid", "pestilent", "fetid", "rancid", "moldy", "stale", "curdled", "stinking",
        "grody", "crappy", "shoddy", "cruddy", "skanky", "skeevy", "janky", "shabby", "ratty", "squalid",
        "grimy", "dingy", "filthy", "grungy", "grubby", "grimy", "scurvy", "measly", "paltry", "wretched",
        "deplorable", "pathetic", "pitiful", "appalling", "dismal", "woeful", "abysmal", "dire", "lamentable",
        "execrable", "egregious", "heinous", "flagrant", "gross", "infamous", "depraved", "villainous",
        "nefarious", "wicked", "miscreant", "vicious", "brutal", "barbaric", "savage", "cruel", "inhumane",
        "sadistic", "merciless"
    ],
        adverbs: [
        "shittily", "fucking", "damnably", "cruelly", "repulsively", "vilely", "obnoxiously", "loathsomely",
        "obscenely", "dastardly", "catastrophically", "reprehensibly", "malevolently", "heinously",
        "monstrously", "atrociously", "hideously", "brutally", "barbarically", "sadistically", "maliciously",
        "viciously", "ferociously", "savagely", "ruthlessly", "pitilessly", "mercilessly", "remorselessly",
        "vengefully", "vindictively", "callously", "heartlessly", "coldheartedly", "unfeelingly",
        "insensitively", "deplorably", "scandalously", "shamefully", "disgracefully", "dreadfully",
        "lamentably", "regrettably", "woefully", "abysmally", "appallingly", "ghastly", "horribly", "frightfully",
        "terribly", "dismally", "bleakly", "hopelessly", "dismayingly", "grievously", "sorrowfully",
        "mournfully", "lugubriously", "melancholically", "tragically", "wofully", "miserably", "distressingly",
        "agonizingly", "excruciatingly", "torturously", "painfully", "murderously", "destructively",
        "ravagingly", "blighting", "corrodingly", "decayingly", "rottingly", "sickeningly", "putridly",
        "stenchily", "nauseatingly", "unspeakably", "abominably", "abhorrently", "loathsomely", "detestably",
        "repulsively", "vilely", "disgustingly", "foully"
    ],
        default: [
        "fuck", "shit", "bitch", "piss", "dick", "cock", "twat", "cunt", "ass", "nugget", "scumbag", "peon", "ghoul",
        "troll", "vulture", "knobhead", "buffoon", "goofball", "twit", "sphincter", "moron", "idiot", "cretin",
        "imbecile", "dunce", "dullard", "inanity", "nincompoop", "numskull", "blockhead", "bonehead", "dipshit",
        "fucknut", "fuckhead", "dickface", "asshat", "shithead", "assclown", "fucktard", "dickweed", "dickwad",
        "pisshead", "shit-for-brains", "numpty", "bellend", "knobhead", "dickbrain", "shitgibbon", "plonker",
        "shitweasel", "shitstick", "dogbreath", "fucktrumpet", "fucknugget", "dickfist", "cockwomble", "cumstain",
        "cumguzzler", "shitlord", "fuckbucket", "fuckspatter", "dicksneeze", "cockwaffle", "meatbag", "twatwaffle",
        "twatsicle", "shitspitter", "shitlicker", "fuckface", "dickface", "asswipe", "asslicker", "fuckhole",
        "pissguzzler", "shitbreather", "shitsucker", "fuckbucket", "wankspatula", "assbandit", "dickmonkey",
        "dickpanther", "shitpouch", "fucktwiddle", "fuckbucket", "fuckweasel", "fucknuckle", "dickmuncher",
        "shitpickle"
    ]
    };

    function splitText() {
        return inputText.split(/(\s+|[.,'";:!?()-])/);
    }

    var words = splitText();
    for (var i = 0; i < words.length; i++) {
        if (/\w/.test(words[i])) {
            var convertProbability = Math.random() * 100;
            if (convertProbability < intensity) {
                words[i] = replaceWord(words[i], mode, replaceRulesets, offensiveVocabulary);
            }
        }
    }

    var outputText = words.join("");
    document.getElementById("outputText").value = outputText;
}

function replaceWord(word, mode, replaceRulesets, offensiveVocabulary) {
    if (mode === "normalize") {
        return word;
    }

    var prefix = "", suffix = "", root = word;

    replaceRulesets.prefixes.some(function(pre) {
        if (word.toLowerCase().startsWith(pre)) {
            prefix = pre;
            root = word.slice(pre.length);
            return true;
        }
    });

    replaceRulesets.suffixes.some(function(suf) {
        if (word.toLowerCase().endsWith(suf)) {
            suffix = suf;
            root = word.slice(0, -suf.length);
            return true;
        }
    });

    var category = determineCategory(root, replaceRulesets, offensiveVocabulary);
    var substitution = getRandomOffensiveWord(offensiveVocabulary[category]);

    return prefix + substitution + suffix;
}

function determineCategory(word, rulesets, vocabulary) {
    var nounEndings = rulesets.suffixes.filter(suf => suf.endsWith('s'));
    var verbEndings = ["ed", "ing", "s", "es"];
    var adjectiveEndings = ["ing", "ly", "ish", "ful", "ous", "able", "ible"];

    if (nounEndings.some(suf => word.endsWith(suf))) {
        return "nouns";
    }
    if (verbEndings.some(suf => word.endsWith(suf))) {
        return "verbs";
    }
    if (adjectiveEndings.some(suf => word.endsWith(suf))) {
        return "adjectives";
    }
    return "default";
}

function getRandomOffensiveWord(wordArray) {
    var randomIndex = Math.floor(Math.random() * wordArray.length);
    return wordArray[randomIndex];
}
</script>
</body>
</html>

""".

suprim-extreme advance/refactor/reformulate/replace suprim-extensive vocabulary lists that can handle a wide range of contexts and grammatical structures.

suprim-extreme advance/refactor/reformulate/replace this overall qoude strictly beyond FUBAR.