To search scripts using Google Search
// ==UserScript==
// @name GreasyFork Search
// @namespace http://tampermonkey.net/
// @version 0.6.5
// @description To search scripts using Google Search
// @author CY Fung
// @match https://greasyfork.org/*
// @icon https://www.google.com/s2/favicons?sz=64&domain=greasyfork.org
// @require https://fastly.jsdelivr.net/npm/jstat@1.9.6/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%3Agreasyfork.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" /><input name="vl" type="hidden" value="">`
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;
if (!/[?&]vl=/.test(location.search)) 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);
});
})();