networkmastered_obsidian-compress/util/networkmastercompression.js

//Credit: github networkmaster
import { BB } from "./BB.js"
import LZ from "./runlengthMatch.js"
import { inflate, deflate } from "./pakoMinified.js"
import { decodeSafe, encodeSafe } from "./runlength.js"

//compressed json. (dictionaryBIG.json)
let wordDict = (() => { let r = new BB(); r.F("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"); let pr = []; while (true) { let m = r.RU(8); if (isNaN(m)) break; pr.push(m) } return new TextDecoder().decode(inflate(new Uint8Array(pr))).split(";") })()




//compressed json. (dictionaryBIG2.json)
let wordDictLarge = (() => { let r = new BB(); r.F("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"); let pr = []; while (true) { let m = r.RU(8); if (isNaN(m)) break; pr.push(m) } return new TextDecoder().decode(inflate(new Uint8Array(pr))).split(";") })()

let wordDictSmall = ["im", "we", "am", "it", "in", "my", "and", "the"] // Max Length: 8, entry length 2+
let wordDictTiny = ["i", " ", "a", "\n"] // Max Length: 4, entry length 1+

wordDict.forEach((w, i) => {
    if (w.length < 3) throw new Error("Dict, " + (i + 1))
})

let type1 = /[a-z\.\-\: \n]/gm
let type1swap = "\nabcdefghijklmnopqrstuvwxyz.-: ".split("")
function runTest(str, specificTest) {
    let CompData = new BB()
    CompData.WU(5, 0)
    let results = { type1: { done: false }, type2: { done: false }, type3: { done: false }, type4: { done: false }, type5: { done: false } }
    if (str.replace(type1, "") == "") {
        let W = new BB()
        str.split("").forEach((char) => {
            W.WU(5, type1swap.indexOf(char))
        })
        results.type1.result = W.G()
        results.type1.done = true
    }
    if (true) {
        let W = new BB()
        let largest = 0
        let smallest = Infinity
        str.split("").forEach((char) => {
            if (char.charCodeAt(0) && char.charCodeAt(0) > largest) largest = char.charCodeAt(0)
            if (char.charCodeAt(0) && char.charCodeAt(0) < smallest) smallest = char.charCodeAt(0)
        })
        let size = largest - smallest
        if (size == 0) size++
        W.WU(8, size)
        W.WU(8, smallest)
        str.split("").forEach((char) => {
            W.WU(Math.ceil(Math.log2(size)) + 1, char.charCodeAt(0) - smallest + 1)
        })
        results.type2.result = W.G()
        results.type2.done = true
    }
    if (true) {
        let W = new BB()
        let drain = str
        while (true) {
            if (drain.length == 0) break
            let fnd = false
            wordDict.forEach((wrd, i) => {
                if (!fnd && drain.startsWith(wrd)) {
                    W.WU(2, 0)
                    W.WU(12, i)
                    drain = drain.replace(wrd, "")
                    fnd = true
                }
            })
            wordDictSmall.forEach((wrd, i) => {
                if (!fnd && drain.startsWith(wrd)) {
                    W.WU(2, 1)
                    W.WU(3, i)
                    drain = drain.replace(wrd, "")
                    fnd = true
                }
            })
            wordDictTiny.forEach((wrd, i) => {
                if (!fnd && drain.startsWith(wrd)) {
                    W.WU(2, 2)
                    W.WU(2, i)
                    drain = drain.replace(wrd, "")
                    fnd = true
                }
            })
            if (!fnd) {
                if (!drain.charCodeAt(0)) throw new Error("Unknown char")
                W.WU(2, 3)
                W.WU(8, drain.charCodeAt(0))
                drain = drain.substring(1)
            }
        }
        results.type3.result = W.G()
        results.type3.done = true
    }
    if (true) {
        results.type4.result = str
        results.type4.done = true
    }
    if (true) {
        let W = new BB()
        let drain = str
        let good = true
        while (true) {
            if (drain.length == 0) break
            let fnd = false
            wordDictLarge.forEach((wrd, i) => {
                if (!fnd && drain.startsWith(wrd)) {
                    W.WU(2, 0)
                    W.WU(13, i)
                    drain = drain.replace(wrd, "")
                    fnd = true
                }
            })
            wordDictSmall.forEach((wrd, i) => {
                if (!fnd && drain.startsWith(wrd)) {
                    W.WU(2, 1)
                    W.WU(3, i)
                    drain = drain.replace(wrd, "")
                    fnd = true
                }
            })
            wordDictTiny.forEach((wrd, i) => {
                if (!fnd && drain.startsWith(wrd)) {
                    W.WU(2, 2)
                    W.WU(2, i)
                    drain = drain.replace(wrd, "")
                    fnd = true
                }
            })
            if (!fnd) {
                if (!drain.charCodeAt(0)) throw new Error("Unknown char")
                if (drain.charCodeAt(0) <= 64) good = false
                W.WU(2, 3)
                W.WU(6, drain.charCodeAt(0) - 64)
                drain = drain.substring(1)
            }
        }
        results.type5.result = W.G()
        results.type5.done = good
    }


    Object.keys(results).forEach((type) => {
        if (results[type] && results[type].done && results[type].result) {
            let MD = new BB()
            let LZC = ""
            let PKC = ""
            let temp = LZ.compress(results[type].result)
            if (LZ.decompress(temp) == results[type].result) { LZC = temp.replace("` ", "•") } else { throw new Error("Mismatch 1") }
            temp = deflate(results[type].result)
            if (new TextDecoder().decode(inflate(temp)) == results[type].result) {
                let W = new BB()
                temp.forEach((byte) => {
                    if (byte >= 2 ** 8) throw new Error("OOR")
                    W.WU(8, byte)
                })
                PKC = W.G()
            } else { throw new Error("Mismatch 2") }

            // console.log("DATA", "\n1.", LZC, "\n2.", PKC, "\n3.", PZC, "\n4.", LKC)
            // if (LZC.length <= PKC.length && LZC.length <= PZC.length && LZC.length <= LKC.length && LZC.length < results[type].result.length) {
            //     MD.WU(5, 0)
            //     results[type].result = LZC
            // } else if (PKC.length <= LZC.length && PKC.length <= PZC.length && PKC.length <= LKC.length && PKC.length < results[type].result.length) {
            //     MD.WU(5, 1)
            //     results[type].result = PKC
            // } else if (PZC.length <= PKC.length && PZC.length <= PZC.length && PZC.length <= LKC.length && PZC.length < results[type].result.length) {
            //     MD.WU(5, 2)
            //     results[type].result = PZC
            // } else if (LKC.length <= PKC.length && LKC.length <= PZC.length && LKC.length <= LZC.length && LKC.length < results[type].result.length) {
            //     MD.WU(5, 3)
            //     results[type].result = LKC
            // } else {
            //     MD.WU(5, 31)
            // }
            // results[type].result = MD.G() + results[type].result
            if (LZC.length <= PKC.length && LZC.length < results[type].result.length) {
                results[type].result = LZC
                MD.WU(5, 1)
            } else if (PKC.length <= LZC.length && PKC.length < results[type].result.length) {
                results[type].result = PKC
                MD.WU(5, 2)
            } else {
                MD.WU(5, 31)
            }
            results[type].result = MD.G() + results[type].result
        }
    })
    let largest = null
    let size = Infinity
    Object.keys(results).forEach((type) => {
        if (results[type] && results[type].done && results[type].result) {
            if (results[type].result.length < size) { size = results[type].result.length; largest = type }
        }
    })
    if (specificTest) largest = specificTest
    if (largest) {
        let id = parseInt(largest.substring(4))
        if (id) {
            CompData.WU(5, id)
            return encodeSafe(CompData.G() + results[largest].result)
        } else { throw new Error("Cannot find type " + largest) }
    } else {
        return "UNCOMP" + encodeSafe(str)
    }
}
export function netcompress(str, imdtyp) {
    let out = runTest(str, imdtyp); return out
}
export function netdecompress(str) {
    if (str.startsWith("UNCOMP")) return decodeSafe(str.substring(6))
    str = decodeSafe(str)
    let meta = str.substring(0, 2)
    str = str.substring(2)
    let r = new BB()
    r.F(meta)
    let ver = r.RU(5)
    let id = r.RU(5)
    let out = ""
    let finals = str.substring(0, 1)
    str = str.substring(1)
    r = new BB()
    r.F(finals)
    let typ = r.RU(5)
    switch (typ) {
        case 1:
            str = LZ.decompress(str.replaceAll("•", "` "))
            break
        case 2:
            let sta = new BB()
            sta.F(str)
            let bk = []
            while (true) { let nr = sta.RU(8); if (isNaN(nr)) { break }; bk.push(nr) }
            str = new TextDecoder().decode(inflate(new Uint8Array(bk)))
            break
    }
    let W = new BB()
    W.F(str)
    switch (id) {
        case 1:
            while (true) {
                let n = W.RU(5)
                if (!isNaN(n)) {
                    out += type1swap[n]
                } else break
            }
            break;
        case 2:
            let size = W.RU(8)
            let small = W.RU(8)
            while (true) {
                let n = W.RU(Math.ceil(Math.log2(size)) + 1)
                if (!isNaN(n) && n != 0) {
                    out += String.fromCharCode(n + small - 1)
                } else break
            }
            break;
        case 3:
        case 5:
            let go = true
            while (go) {
                let n = W.RU(2)
                if (isNaN(n)) break
                switch (n) {
                    case 0:
                        let ind = W.RU(13)
                        if (isNaN(ind)) break
                        out += wordDictLarge[ind]
                        break;
                    case 1:
                        out += wordDictSmall[W.RU(3)]
                        break;
                    case 2:
                        out += wordDictTiny[W.RU(2)]
                        break;
                    case 3:
                        let chid = 0
                        if (id == 5) chid = W.RU(6) + 64
                        if (id == 3) chid = W.RU(8)
                        out += String.fromCharCode(chid)
                        break;
                }
            }
            break;
        case 4:
            out += str
            break;
    }
    return out
}