GreasyFork Search

To search scripts using Google Search

Από την 31/08/2024. Δείτε την τελευταία έκδοση.

θα χρειαστεί να εγκαταστήσετε μια επέκταση όπως το Tampermonkey, το Greasemonkey ή το Violentmonkey για να εγκαταστήσετε αυτόν τον κώδικα.

θα χρειαστεί να εγκαταστήσετε μια επέκταση όπως το Tampermonkey ή το Violentmonkey για να εγκαταστήσετε αυτόν τον κώδικα.

θα χρειαστεί να εγκαταστήσετε μια επέκταση όπως το Tampermonkey ή το Violentmonkey για να εγκαταστήσετε αυτόν τον κώδικα.

θα χρειαστεί να εγκαταστήσετε μια επέκταση όπως το Tampermonkey ή το Userscripts για να εγκαταστήσετε αυτόν τον κώδικα.

You will need to install an extension such as Tampermonkey to install this script.

Θα χρειαστεί να εγκαταστήσετε μια επέκταση διαχείρισης κώδικα χρήστη για να εγκαταστήσετε αυτόν τον κώδικα.

(Έχω ήδη έναν διαχειριστή κώδικα χρήστη, επιτρέψτε μου να τον εγκαταστήσω!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(Έχω ήδη έναν διαχειριστή στυλ χρήστη, επιτρέψτε μου να τον εγκαταστήσω!)

// ==UserScript==
// @name         GreasyFork Search
// @name:zh-CN         GreasyFork Search
// @namespace     https://greatest.deepsurf.us/zh-CN/users/1169082
// @version 0.6.5.8
// @description  To search scripts using Google Search
// @description:zh-CN   使用谷歌搜索GreasyFork和SleazyFork上的脚本
// @author       CY Fung , 人民的勤务员 <[email protected]>
// @match        https://greatest.deepsurf.us/*
// @match        https://sleazyfork.org/*
// @icon         https://www.google.com/s2/favicons?sz=64&domain=greatest.deepsurf.us
// @require      https://fastly.jsdelivr.net/npm/[email protected]/dist/jstat.min.js
// @grant        none
// @license MIT

// ==/UserScript==



(() => {



    function jacobi(a) {
        var n = a.length
        var trial = n * n * 2
        var e = jStat.identity(n, n)
        var ev = []
        var i, j, p, q, maxim, s
        let vaildResult = false
        outer: while (trial-- > 0) {
            maxim = a[0][1]
            p = 0
            q = 1
            for (i = 0; i < n; i++) {
                for (j = 0; j < n; j++) {
                    if (i != j) {
                        let t = Math.abs(a[i][j])
                        if (maxim < t) {
                            maxim = t
                            p = i
                            q = j
                        }
                    }
                }
            }

            s = jStat.identity(n, n)

            let tanValue = 2 * a[p][q] / (a[p][p] - a[q][q])

            let cosTwoTheta = Math.sqrt(1 / (1 + tanValue * tanValue))
            let cosTheta = Math.sqrt(.5 * (1 + cosTwoTheta))
            let sinTheta = Math.sqrt(.5 * (1 - cosTwoTheta))

            s[p][p] = cosTheta
            s[p][q] = -sinTheta
            s[q][p] = sinTheta
            s[q][q] = cosTheta

            e = jStat.multiply(e, s)
            a = jStat.multiply(jStat.multiply(jStat.transpose(s), a), s)

            for (i = 0; i < n; i++) {
                for (j = i + 1; j < n; j++) {
                    if (Math.abs(a[i][j]) > .0004) {
                        continue outer
                    }
                }
            }

            vaildResult = true
            break
        }
        if (!vaildResult) {
            console.warn("The matrix is not symmetric.")
            return null
        }
        for (i = 0; i < n; i++) ev.push(a[i][i])
        //returns both the eigenvalue and eigenmatrix
        return [e, ev]
    }



    function getVN(A) {
        // normalized the matrix values such that det(A) will be a finite value close to 1.0
        // vn = sqrt( ( column_vector_1 ^2 + column_vector_2 ^2 + ... + column_vector_n ^2 ) / n )
        let vn = 0
        const AT = jStat.transpose(A)
        let N = AT.length
        for (let i = 0; i < N; i++) {
            vn += jStat.dot(AT[i], AT[i])
        }
        vn = Math.sqrt(vn / N)
        return vn
    }

    function subtractLambdaFromDiagonal(matrix, lambda) {
        // A - lambda I
        return matrix.map((row, rowIndex) => row.map((val, colIndex) => rowIndex === colIndex ? val - lambda : val))
    }


    function eigenvalueNewton(A, lambda0) {
        const N = A.length
        const epsilon = 1e-5 // epsilon is applied on the normalized scale of lambda
        const maxTrial = 8

        function f(lambda) {
            return jStat.det(subtractLambdaFromDiagonal(A, lambda))
        }

        function fPrime(lambda) {
            return (f(lambda + epsilon) - f(lambda)) / epsilon
        }

        let x_k = lambda0
        let positiveSign = 0
        let negativeSign = 0
        for (let i = 0; i < maxTrial; i++) {
            const fx = f(x_k)
            const fxPrime = fPrime(x_k)
            const diff = fx / fxPrime
            if (isNaN(diff)) return x_k // ignore f/f'
            const x_k1 = x_k - diff
            if ((diff > 0 ? diff : -diff) < epsilon) {
                return x_k1
            }
            x_k = x_k1
            if (fx > 0) positiveSign = 1
            else if (fx < 0) negativeSign = 1
        }
        return positiveSign && negativeSign ? x_k : lambda0 // avoid diverging iterations
    }

    function vectorNorm(v) {
        // Math.sqrt(v dot v), same as jStat.norm(jStat.transpose(v))
        let s = 0
        for (const k of v) s += k[0] * k[0]
        return Math.sqrt(s)
    }

    function isUnitVector(v, tol = 0.01) {
        // Check if it is likely a unit vector
        let s = 0
        for (const k of v) {
            s += k[0] * k[0]
            if (s > 1 + tol) return false
        }
        return s > 1 - tol
    }

    jStat.jacobiOri = jStat.jacobi
    // https://www.statskingdom.com/pca-calculator.html
    jStat.jacobi = function (C) {

        const vn = getVN(C)
        C = jStat.multiply(C, 1 / vn)
        let r1 = jacobi(C)
        // let r0 = JSON.parse(JSON.stringify(r1))
        // r0[1] = r0[1].map(v => vn * v);
        let A = C
        let eigenvectors = r1[0]
        let eigenvalues = r1[1]
        const iterationCount = 4

        for (let i = 0; i < eigenvalues.length; i++) {
            let q, m
            q = jStat.transpose(eigenvectors[i])
            if (!isUnitVector(q)) break
            eigenvalues[i] = eigenvalueNewton(A, eigenvalues[i]) // refine eigenvalues obtained in jacobiOri

            // inverse power method (A-lambda I) y_k = b_{k-1}
            // b_k = y_k / norm(y_k)
            let M = subtractLambdaFromDiagonal(A, eigenvalues[i])
            for (let j = 0; j < iterationCount; j++) {
                m = jStat.transpose(jStat.gauss_elimination(M, q))
                m = jStat.multiply(m, 1 / vectorNorm(m))
                if (!isUnitVector(m)) break // avoid Inf / NaN error
                q = m
            }
            eigenvectors[i] = jStat.transpose(q)

        }
        r1[1] = r1[1].map(v => vn * v)
        return r1
    }



})()


jStat.PCA = function PCA(X) {
    var m = X.length
    var n = X[0].length
    var i = 0
    var j, temp1
    var u = []
    var D = []
    var result = []
    var temp2 = []
    var Y = []
    var Bt = []
    var B = []
    var C = []
    var V = []
    var Vt = []
    for (i = 0; i < m; i++) {
        u[i] = jStat.sum(X[i]) / n
    }
    for (i = 0; i < n; i++) {
        B[i] = []
        for (j = 0; j < m; j++) {
            B[i][j] = X[j][i] - u[j]
        }
    }
    B = jStat.transpose(B)
    for (i = 0; i < m; i++) {
        C[i] = []
        for (j = 0; j < m; j++) {
            C[i][j] = (jStat.dot([B[i]], [B[j]])) / (n - 1)
        }
    }
    result = jStat.jacobi(C)
    V = result[0]
    D = result[1]

    Vt = jStat.transpose(V)


    let vd = []
    for (i = 0; i < D.length; i++) {
        vd[i] = {
            Vt: Vt[i],
            D: D[i],
            k: D[i] * D[i]
        }
    }

    vd.sort((a, b) => {
        return b.k - a.k
    })

    Vt = vd.map(e => e.Vt)
    D = vd.map(e => e.D)



    V = null


    Bt = jStat.transpose(B)

    let pcs_11 = []
    let pt_11 = [1, 1]
    for (i = 0; i < m; i++) {


        pcs_11[i] = jStat.dot([Vt[i]], [pt_11])
        if (pcs_11[i] < 0) Vt[i] = jStat.multiply(Vt[i], -1)
        pcs_11[i] = jStat.dot([Vt[i]], [pt_11])
    }





    for (i = 0; i < m; i++) {
        Y[i] = []
        for (j = 0; j < Bt.length; j++) {
            Y[i][j] = jStat.dot([Vt[i]], [Bt[j]])
        }
    }
    return [X, D, Vt, Y]
};

(function () {
    'use strict'

    let input = document.querySelector('form input[name="q"]')
    if (!(input instanceof HTMLInputElement)) return
    let form = input.closest('form')
    if (!(form instanceof HTMLFormElement)) return


    let locales = [...document.querySelectorAll('select#language-selector-locale > option')].map(x => x.value)

    document.head.appendChild(document.createElement('style')).textContent = `


    @keyframes rs1tmAnimation {
        0% {
            background-position-x: 3px;
        }
        100% {
            background-position-x: 4px;
        }
    }

    form.rs1tm{
        position: fixed;
        top:-300px;
        left:-300px;
        width: 1px;
        height: 1px;
        contain: strict;
        display: flex;
        overflow: hidden;
        animation: rs1tmAnimation 1ms linear 1ms 1 normal forwards;
    }

    `
    document.addEventListener('animationstart', (evt) => {

        if (evt.animationName === 'rs1tmAnimation') {
            const target = evt.target
            target && target.parentNode && target.remove()
        }

    }, true)

    window.callback947 = function (rainijpolynomialRegressionJs) {
        if (!rainijpolynomialRegressionJs) return
        const { PolynomialFeatures, PolynomialRegressor, RegressionError } = rainijpolynomialRegressionJs
        if (!PolynomialFeatures || !PolynomialRegressor || !RegressionError) return

        console.log(rainijpolynomialRegressionJs)
    }

    form.addEventListener('submit', function (evt) {

        try {


            let form = evt.target
            if (!(form instanceof HTMLFormElement)) return
            let input = form.querySelector('input[name="q"]')
            if (!(input instanceof HTMLInputElement)) return

            if (form.classList.contains('rs1tm')) return

            let value = input.value
            const lang = document.documentElement.lang || ''

            let useLang = false


            let u = 0
            let isGoogleSearch = false

            let sites = []

            const split = value.split(/\s+/)
            let forceLang = 'all'
            let reformedSplit = []
            for (const s of split) {

                if (!isGoogleSearch && /^[a-z][a-z0-9_-]{2,}(\.[a-z][a-z0-9_-]{2,})*(\.[a-z-]{2,4})+$/.test(s)) {
                    if (/\.(js|css|html|htm|xml|img|svg|txt|php|cgi|xhtml|ini|vue|xhr|ajax)$/.test(s)) {
                        reformedSplit.push(s)
                    } else {
                        sites.push(s)
                    }
                } else if (s === 'js') {
                    forceLang = 'js'; reformedSplit.push(s)
                } else if (s === 'css') {
                    forceLang = 'css'; reformedSplit.push(s)
                } else if (s === 'user.js') {
                    forceLang = 'js'
                } else if (s === 'user.css') {
                    forceLang = 'css'
                } else if (s === '"js"') {
                    reformedSplit.push('js')
                } else if (s === '"css"') {
                    reformedSplit.push('css')
                } else if (u === 0 && s === 'g') {
                    isGoogleSearch = true
                } else if (locales.indexOf(s) >= 0 || s === lang) {
                    useLang = s
                } else {
                    reformedSplit.push(s)
                }
                u++
            }
            console.log(sites)

            value = reformedSplit.join(' ')

            let onlySite = ''

            if (sites.length === 1 && sites[0]) {
                onlySite = sites[0]
            }

            /*
              if (!isGoogleSearch && onlySite && /\.\w+\.\w+/.test(onlySite)) {
                  alert('Greasy Fork only lists eTLD+1.');
                      evt.preventDefault();
                  evt.stopImmediatePropagation();
                  evt.stopPropagation();
                  return;
              }
              */


            if (isGoogleSearch && value) {
                let q = value.replace('g ', '')

                let m = "-inurl%3A%22%2Fusers%2F%22+-inurl%3A%22%2Fdiscussions%22-inurl%3A%22%2Fstats%22+-inurl%3A%22%2Ffeedback%22+-inurl%3A%22%2Fcode%22+-inurl%3A%22q%3D%22+-inurl%3A%22%2Fby-site%2F%22+inurl%3A%22%2Fscripts%2F%22+site%3A"
                var currentUrl = window.location.origin
                var index1 = currentUrl.indexOf("sleazyfork")
                var index2 = currentUrl.indexOf("greasyfork")//搜索
                if (index2 !== -1) {
                    m = m + "greatest.deepsurf.us"
                }
                if (index1 !== -1) {
                    m = m + "sleazyfork.org"
                }
                let lr = useLang ? `&lr=lang_${useLang}` : ''
                evt.preventDefault()
                evt.stopImmediatePropagation()
                evt.stopPropagation()

                location.href = `https://www.google.com/search?q=${encodeURIComponent(q)}+${m}${lr}`

            } else if (!isGoogleSearch && (value || onlySite)) {


                let newForm = document.createElement('form')
                newForm.className = 'rs1tm'
                const copyAttr = (x) => {
                    let t = form.getAttribute(x)
                    if (typeof t === 'string') newForm.setAttribute(x, t)
                }
                copyAttr('action')
                copyAttr('accept-charset')
                copyAttr('method')
                newForm.innerHTML = `<input name="q" type="hidden" value="" /><input name="site" type="hidden" /><input name="language" type="hidden" value="all" /><input name="sort" type="hidden" />`


                const nq = newForm.querySelector('input[name="q"]')
                const language = newForm.querySelector('input[name="language"]')
                const site = newForm.querySelector('input[name="site"]')
                const sort = newForm.querySelector('input[name="sort"]')

                value = value.replace(/\s+/g, ' ')
                site.value = onlySite

                if (form.getAttribute('action') === `/${lang}/scripts` && useLang && useLang !== lang) {
                    form.setAttribute('action', `/${useLang}/scripts`)
                }


                if (site.value === '') site.remove()

                nq.value = value

                language.value = forceLang

                if (language.value === '') language.remove()


                sort.value = 'updated'

                let sorting = document.querySelector('#script-list-sort')
                if (sorting) {
                    let sorts1 = {
                        nil: 0,
                        daily_installs: 0,
                        total_installs: 0,
                        ratings: 0,
                        created: 0,
                        updated: 0,
                        name: 0
                    }
                    let sorts2 = {
                        daily_installs: 0,
                        total_installs: 0,
                        ratings: 0,
                        created: 0,
                        updated: 0,
                        name: 0
                    }
                    const allOptions = sorting.querySelectorAll('.list-option')
                    const sorts = allOptions.length === 6 ? (sorts2) : (sorts1)
                    const keys = Object.keys(sorts)

                    if (allOptions.length === keys.length) {


                        for (const key of keys) {
                            let e = `.list-option:not(.list-current) a[href$="sort=${key}"]`
                            if (key === 'nil') {
                                e = `.list-option:not(.list-current) a[href]:not([href*="sort="])`
                                e = sorting.querySelector(e)
                            } else {
                                e = sorting.querySelector(e)
                            }

                            if (e) {
                                sorts[key] = 1
                            }

                        }



                        let p = Object.entries(sorts).filter(r => !r[1])
                        if (p.length === 1) {
                            sort.value = p[0][0]
                        }

                    }

                }




                if (sort.value === '') sort.remove()

                evt.preventDefault()
                evt.stopImmediatePropagation()
                evt.stopPropagation()

                form.parentNode.insertBefore(newForm, form)
                newForm.submit()
                Promise.resolve().then(() => {
                    newForm.remove()
                })


            } else {
                evt.preventDefault()
                evt.stopImmediatePropagation()
                evt.stopPropagation()
            }

        } catch (e) {
            console.log(e)

            evt.preventDefault()
            evt.stopImmediatePropagation()
            evt.stopPropagation()
        }

    })

    // Your code here...
})();

(() => {

    function prettyMatrix(A) {
        let w = ''
        for (let i = 0; i < A.length; i++) {
            for (let j = 0; j < A[i].length; j++) {
                w += A[i][j].toFixed(4) + '\t'
            }
            w += '\n\t'
        }
        return '[\n\t' + w.trim() + '\n]'
    }


    requestAnimationFrame(() => {

        setTimeout(() => {

            if ((location.search.includes('sort=updated') || location.search.includes('sort=created')) && location.pathname.endsWith('/scripts')) { } else return
            let items = document.querySelectorAll('[data-script-id][data-script-daily-installs][data-script-total-installs]')

            let data = [...items].map(e => ({
                id: parseInt(e.getAttribute('data-script-id')),
                daily: parseInt(e.getAttribute('data-script-daily-installs')),
                total: parseInt(e.getAttribute('data-script-total-installs'))
            })).filter(e => e.id && !isNaN(e.daily) && !isNaN(e.total))

            const daily = data.map(d => d.daily)
            const total = data.map(d => d.total)
            dailyMean = jStat.mean(daily)
            dailySD = jStat.stdev(daily, true)
            totalMean = jStat.mean(total)
            totalSD = jStat.stdev(total, true)

            const uDaily = jStat.multiply(jStat.subtract(daily, dailyMean), 1 / dailySD)
            const uTotal = jStat.multiply(jStat.subtract(total, totalMean), 1 / totalSD)

            let dataA = data.map((d, i) => [uDaily[i], uTotal[i]])

            // dataA = dataA.slice(0, 4)
            // console.log(dataA)

            let matrixA = jStat.transpose(dataA)


            const result = jStat.PCA(matrixA)
            const [X, D, Vt, Y] = result



            let q = null
            let qSet = null
            if (location.search.includes('q=')) {
                q = new URLSearchParams(location.search)
                q = q.get('q')

            }

            function makeQA(q) {
                let qSet = new Set()
                q.replace(/_-/g, ' ').replace(/\b\S+\b/g, (_) => {
                    qSet.add(_.toLowerCase())
                })
                return qSet
            }

            if (q) {
                qSet = makeQA(q)
            }

            let mr = new Map()
            let u = 0
            for (const d of data) {
                d.pcaScore = Y[0][u++]
                let elm = document.querySelector(`[data-script-id="${d.id}"]`)
                if (elm) {

                    let order = 0
                    order -= Math.floor(d.pcaScore * 1000)

                    let u1 = 0, u2 = 0

                    if (qSet) {

                        const pSet = qSet

                        let elp = elm.querySelector('.script-link')
                        if (elp) {
                            let t = elp.textContent

                            t.replace(/_-/g, ' ').replace(/\b\S+\b/g, (_) => {
                                if (pSet.has(_.toLowerCase())) u1++
                            })


                        }



                        let elq = elm.querySelector('.script-description')

                        if (elq) {
                            let t = elq.textContent

                            t.replace(/_-/g, ' ').replace(/\b\S+\b/g, (_) => {
                                if (pSet.has(_.toLowerCase())) u2++
                            })


                        }


                    }


                    if (u1 && u2) order -= 30000
                    else if (u1) order -= 20000
                    else if (u2) order -= 10000


                    mr.set(d.id, order)
                    // elm.style.order = order;
                    // elm.parentNode.style.display = 'flex';


                    // elm.parentNode.style.flexDirection = 'column';


                }
            }

            /*
                        let lists = [...new Set([...document.querySelectorAll(`[data-script-id]`)].map(p => p.parentNode))];
                        for (const list of lists) {
            
                            let m = [...list.childNodes].map(e => ({
                                element: e,
                                order: mr.get(e instanceof HTMLElement ? (+e.getAttribute('data-script-id') || '') : '') || 0
                            }));
            
                            m.sort((a, b) => {
                                return Math.round(a.order - b.order)
                            });
                            let newNodes = m.map(e => e.element);
            
                            list.replaceChildren(...newNodes);
                        }
            */

            // console.log(prettyMatrix(X))

            // console.log(prettyMatrix(Y))





        }, 300)

    })



})()