Mineshroom

Mine pattern

질문, 리뷰하거나, 이 스크립트를 신고하세요.
// ==UserScript==
// @name         Mineshroom
// @namespace    http://tampermonkey.net/
// @version      1.2.1
// @description  Mine pattern
// @author       DEV314R
// @match        https://lom.joynetgame.com/
// @icon         https://icons.duckduckgo.com/ip2/joynetgame.com.ico
// @license MIT
// @grant        none
// ==/UserScript==



(function() {
    'use strict';

    // Ajouter le CSS pour l'overlay
    const style = `
    #overlay-container {
        position: fixed;
        top: 10px;
        left: 10px; /* Positionné à gauche */
        width: auto;
        background: rgba(0, 0, 0, 0.9); /* Fond noir */
        z-index: 10000;
        display: flex;
        justify-content: flex-start;
        align-items: center;
        padding: 1em;
        box-sizing: border-box;
        border-radius: 10px;
    }
    #selectors {
        display: grid;
        grid-template-columns: repeat(6, 1fr);
        gap: 0;
        width: auto;
        padding: 0;
        box-sizing: border-box;
    }
    .digit-select {
        display: flex;
        flex-direction: column;
        align-items: center;
        padding: 0;
        height: auto;
        box-sizing: border-box;
    }
    .digit-select img {
        width: 3em;
        height: 3em;
        cursor: pointer;
        border: 0.2em solid transparent;
        margin: 0;
        padding: 0;
    }
    .digit-select img.selected {
        border: 0.2em solid #0f0;
    }
    #searchButton {
        width: 1.6em;
        height: 1.6em;
        margin-left:  0.4em;
        background-color: #fff;
        color: #000;
        border: none;
        cursor: pointer;
        border-radius: 0.2em;
								font-size: 2.8em;
    }
    #patternDisplay {
        position: fixed;
        right: 0;
        top: 0;
        height: 100vh;
        width: auto;
        overflow-y: auto;
        background: rgba(0, 0, 0, 0.9); /* Fond noir */
        z-index: 10000;
        box-sizing: border-box;
        padding: 10px;
    }
    .pattern-container {
        margin-bottom: 1em;
        background: #fff;
        padding: 10px;
        border-radius: 5px;
    }
    .pattern-line {
        display: flex;
        gap: 0;
    }
    .pattern-line img {
        width: 3em;
        height: 3em;
        border: 0.2em solid #ddd;
        margin: 0;
        padding: 0;
    }
    .pattern-line.highlighted img {
        border: 0.2em solid #0f0;
    }
    `;
    const styleEl = document.createElement('style');
    styleEl.innerHTML = style;
    document.head.appendChild(styleEl);

    // Créer l'overlay flottant
    const overlay = document.createElement('div');
    overlay.id = 'overlay-container';

    // Créer les sélecteurs d'images
    const selectors = document.createElement('div');
    selectors.id = 'selectors';
    for (let i = 0; i < 6; i++) {
        const selectDiv = document.createElement('div');
        selectDiv.className = 'digit-select';
        selectDiv.dataset.index = i;
        selectors.appendChild(selectDiv);
    }
    overlay.appendChild(selectors);

    // Bouton de recherche
    const searchButton = document.createElement('button');
    searchButton.id = 'searchButton';
    searchButton.textContent = '🔍';
    overlay.appendChild(searchButton);

    // Ajouter l'overlay au corps de la page
    document.body.appendChild(overlay);

    // Dictionnaire associant les images aux valeurs
    const imageMap = {
            '0': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEwAAABMCAYAAADHl1ErAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAC8SURBVHhe7dChAYAwEMDAh2lqK9l/MDAM0Pg7E5/r2esdjt1/OWRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFhkWGRYZFgy8wEWQAIp62JnGAAAAABJRU5ErkJggg==',
            '1': 'data:image/png;base64,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',
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            '3': 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',
            '4': 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',
            '5': 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',
            '6': 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',
            '7': 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',
            '8': 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',
            '9': 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4yuLmC23oZKawxVfP/x7y+1JpNRo11lJrE7ik40STLVbTZf4YCcXKOOpc0irt1Ko0+W4Gc9JxKlKvaHbRJPbV/BeB/uFZtIc0edl7YHQggzGB2huY2N9WJ8tB/jk0PoH0whRF9V4+7bYsiS5zFp9e4mbt9PM8LPU1tDSI2P4sn5YZR2dvF/P3+PfjCK2dE+5Kmx0hZLeqslk7RRgZRF+RpPIRTskIaprY53+saVgH2pNUHAyjzV68Bqeh5BJwJG0qNlDRaldpXKjOjpT1Zoanqt0uTElOLU5jjNQ+7Ex0kEudVHIhH4gjRdBp1xml+itw9Tc4y5CFaER5twlILUQigyuq/msshsZ5BhXPfR0jZu3dshUEGcPU8/dnYKw9wZS9ksfvHWAhYW7uGp6SQmh/voW2ttzZGFCASRTFM4SpQqAdOcugAsgmKZDp8VbsOD1A1g1kE20EuhG9w8stwtG6EISgRKnjbSE8bkaC99nVV1jaVvUPU0QbtXwG/fWCWTKYzT9KSVZUbtjTqDWs5PB+2tzSyuL25zY8mgQU2cPzfFg/k5TKRiaOTzWL+/gTd/fYdOfxU9jL0unxvGeCqBPQOYgldNxQKm8b0+7FSAFTghAeEFTAGcvhc1eSa35oGAcZep1Groo2PWs6+dbBElmTode4DHpDABGx6Kw0fANCmtuFyAfJ6W2Wz53I2SqV709lPrCVCBh+o0fVSex6oN5otVH+JJ+rORfpydG8Ls+AC1lWfVjTTuMnh949eLuH13F4FmHaME8dzsMKaGemmSNY4h/rycFjAuvo56jx0wta/wQByLhM0boiyj8i36GUERoOkhEDZX/bIiVyijUqGpkUWT93aX9SNM8+zpZZhDKPfoD/UJeYG7pc6DER66Z89O4NKFCQwnY2hWS9he3cQH1+4hyxAjusfj1E3uZNEwVilkPBHG+ZkhOn0CxoO/73EA9kMCNkXASvq2XT3bsIi0/va+G8BkZnKc4UDQRNhlnuHWttOoyzdywBrC3BWpcXTuLTOWtNJqmR4nV7lR5MssD3NHoN2GeJ19Yhojw4MYSTLkSMaN9qLK49ZWFst3t7BCH3aPJhotl/BUgiZODd3hRnKb/i7F9jMjvVy8sNGw1lEmSUCc8Ks7k/whd8lp7kzaJWU+rDedD1J3gClZ5jrsFriq2+k9+iA5flBT/KgQsETEz2NLlId0PeklYOSjJ8p7PKR/uLzD41MQM9ODmJ4Zxvln5tEbjsBfp1kWCtjZ3sMW46utjSx219Jo7hWR4nFnLO7jZhHF3WoLOwigfyDBMRj4UjM1zQJ3SflL5TsAY15aJneg3yP5KJepkzCs10amR9wdgM0w0te3IiVqghq7jL3ULWAsNmDpSUWOAJS5W+pXGgKGpyVG40EMUjD7YE/9rRaziZn4RytprKaLmKBveuLcOPrpfyo8Gu3s7mGFQGUVCzGs8BcL6KUwIzT9STp1ntvxYamF1WoTw6k+jA/GDV/NVaQ3TT69buN/JwEmrdcDBBcwmaQNXF0NI2DSrCqDSPdHTK5KunQSYFZsWR6H5iD5sh7i2YEEmNCs0yQEmDYETZrDOKTAkECzrR4v37y/izR32KHhfpplAFu7JeztlZCifwxyfn2oIM4dNUlTG2OAGohGsMAN5g7P1iPsM5mKm523bB5dkzt5K3DtBjDJZT6ZoAyqN22NHD4DmPXoDrmfLKoh252O2EFC6/upqlaT//RTlhiFiYRCNI0w4tGQEUQR9z5YIk2c2sDCHmrMLI86+nXaIuOszOImims7uLu4g+lGBbPhGobpxuIhvdjgxkAhr2UKeD9TwSA1TWdGjaFF7RzjZDqgI0dSB2BcYGOrUgirM92RwBXIWgWzIkxB+if5KJV704NINZTRmG6SvucsTTJKTdSJ4ZkhPzelKla5a/Zqs+U44qWYTyHHDWpgsek3R6AYgZaj1kuXx0eanZ17B2AiaZidkIA4eVDbQqd520/mrFBEP5o6LWlM+wVRCyP9PZgb70OZfHZpVqH+flyvRrGerxtQNQ43duwUqjQpWUSTwSnznLPmYZidkrrpYQBTQ2HjAiQt63iaegLZljpisL8B7tA6dE3aMeUzxHSMJjacTOB+0Ye5+VmkLl7Fb/Jh3Nzz4Vreh+uVIO4jglgigiGeGTcZ2OpROJf7VPP3kiA4rqc1PgcsvcqXM5TwRstUeQKpjYS0jlSAH296J5F6ygPSNZmf9c3Qn40y8IwHapicGkXiyatITzyNdGoGhUQv+ngwnz8zjAsMUHu5CazuFnlurLat5ESyOmKpiw5twKTi9ltU55mYI7jqTiIDGv8K6sdBZtrO3OOM2qdG+hBr5lHe/AjJgQh6RwYwzoP5+al+XGBSWJFMRDHUH6NmtdqfhbaZHEPCqN3KldfT7SAHo0dqY34ywkQlc3YY+wyocwk+DtKHeGFMDyXQjz0kKmsYDexgrq+OuRGWESg5eS2yfsIs09QX2/vPvh4v+eVgrSbyDzMGIo5jYjGn7shx/4g4+nncGezrwfw4zW8whDN9foz0hs1TVLkBPWXRdGQRcYIbo1Z2i5URvYPU0dP5AJ+205c2uZ01sDRMSVGfQDtIR5X9IUmxVSwS4hk1ZD41kBwKNOVGtLQuSQoB/NBkWHmEEy6e2zbngwCYOIdgKTg+SAbcgx3+gOQuoE4O+sBEICkxPmZ5h3iPTicwO3YphMlR/XV8+GOTQJNWWQvR+O4cHnUu+7zc3HEcPYDJm/1503FAuUTALKbdOslPOx3E4aCVPYJ3/PSRAUaAHaNqBEwt9veZbhXtGJ6farIaRum185kzaxe2+acAVjcLb1Wlk2SC3kITWTl5UdskzQPBbs9fn2Y6QX4PYHq0bJ9S6EhhklP3qSVjTSdJ2VnfBkwUdECzmkaoXeDE2JP/pCQrjPfeEu+c+Tp5h5TvaGfyNpm8e+uQ5dtRRMBUYJKKW+YHAfodT5hX8yDOdPqkpv25t1P7nxHnUL0K2nk1cer51/Rx69rJYeLk4Ne7Q/Pgj6RXASJ9SahfWAg0Y6Isc47incnyYt5NR7TpSN206T5p2lYoz73G4HmunTf3/GPybEd59tspWSAsD0v2XnUsM21sEvn1g089PzKPdMhJZzYXXfXSWdItMwdy82KTh95aHZU6k67VGlOd57s66kx6CyNeLh8lPYJRHz2g9I7xqMkI387run/fmWy5d2wjD8tt2u9veTp8eNOuI2C+f375fOvSVK95LBIJ6f+/pbcxloGE06MTvYJTczOIAaxpXs5aFiTDjH6PJiyN1PN8/X+87P/Ly/pDfd2nny2LfzRk3x55D/Bs9VDxirswLmlhRCrTIyrJIbZSCLeZrrYdtY0zNzxMhS3XK8l98LTA9sXLux9twveXV8+2rs7EoI/qjKDBgEFVLxMEjga1ZBm30daA4uiQchJaT1b0ebcAcUHT63e9FyyW7e+89XMWvVUSwOafQGYy97oaJi2zI4mvGcUMtz+eSGJ6tdkVXmTm2bBzVUstsre7K5Zgc/vor/jJrMRbxcJAQunh5O9vb8H32Qszrc+MhnEmFTLvJSW2Bjf/vCOQ3FuXvfkgmV3ccqMguhcIyvKPeTbFjPjZF6a6dYExPYwWmg+eBBjBtXXakdiPVyOQM4iyTjezaNIIt94I6GlngZAceqIsOM30zL2pYklT4PCm5QhjNE+Dih9L9L8sZbBlFvnG3TR8zz19rhVCFXODYQwnAgibt2N2EMPzCFKdBjbztrz3ycxIGbfQtDJCdrTzkAuAyILIZP8zczczFz/WaRFVZPIUVCbjDqereR/JBhqrQ3MEmKrYz2ifw1NNrIKIWKcF0I3KTb1uuKBcyNure/B96blnWoVCAQHUkIr5kYwHkAhLBc24DqN9crXOTFp/TSNvq6N6kQSEM3gnsaxd55LbRnW6mD+d7UxeWEojbJGgNICZvLTIzTsAOeO7pqs7Fe1bkgCzINkiC6ju9epwaSOH/wc6gtBLRrX5LgAAAABJRU5ErkJggg==',
            'D': 'data:image/png;base64,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'
    };

    // Base de données des motifs
const patterns = {
'1': ['172811', '033111', '732031', '21D121', '032112', '111103', '333120'],
'2': ['0D1821', '100112', '123222', '120210', '211032', '202330', '213761'],
'3': ['121113', '131212', '132373', '322012', '120111', '121333', '2210D1'],
'4': ['113121', '201312', '113110', '200201', '312120', '101113', '360720'],
'5': ['112016', '313212', '012014', '122111', '210127', '011011', '2D2222'],
'6': ['21220D', '331012', '110111', '030111', '107211', '111203', '012029'],
'7': ['611137', '312310', '102610', '121101', '110137', '621112', '121801'],
'8': ['131113', '217222', '230321', '213333', '333111', '231123', '261122'],
'9': ['102021', '013118', '121461', '334312', '222110', '271212', '112214'],
'10': ['111312', '231100', '312110', '336011', '321131', '003171', '312010'],
'11': ['223101', '202212', '113111', '140111', '121221', '172132', '330114'],
'12': ['321190', '113112', '611233', '111131', '301110', '131301', '273111'],
'13': ['212121', '011522', '712013', '785252', '132211', '002121', '111210'],
'14': ['212321', '031122', '167031', '933010', '323122', '103011', '110220'],
'15': ['111010', '111511', '011203', '103110', '019118', '213102', '111111'],
'16': ['140110', '111242', '231211', '422142', '21D261', '127201', '213200'],
'17': ['241111', '121201', '122012', '213300', '013D01', '301112', '242380'],
'18': ['111011', '301101', '191222', '116123', '108151', '221321', '220152'],
'19': ['221D10', '101110', '122110', '112022', '221111', '010020', '112127'],
'20': ['211231', '304262', '313102', '121124', '101212', '103371', '300121'],
'21': ['010111', '611132', '127310', '230111', '022129', 'D29234', '823122'],
'22': ['222111', '012210', '143201', '102110', '121472', '211121', '311201'],
'23': ['211011', '220111', '112013', '011112', '198211', '220116', '202417'],
'24': ['119111', '101106', '221111', '112200', '141082', '140120', '101122'],
'25': ['120116', '150122', '622111', '7110D2', '100011', '100021', '115101'],
'26': ['121309', '211212', '111002', '101212', '511010', '121012', '121111'],
'27': ['101120', '332013', '111111', '112119', '201120', '121610', '010125'],
'28': ['D11021', '001211', '141111', '122116', '530000', '220000', '041121'],
'29': ['273111', '212321', '031122', '167031', '933010', '323122', '103011'],
'30': ['000720', '321190', '113112', '611233', '211131', '301110', '031301'],
'31': ['670233', '200122', '121011', '121361', '901033', '112013', '183113'],
'32': ['110113', '133113', '112212', '121111', '013262', '0311D1', '111120'],
'33': ['110111', '233320', '103112', '370018', '341162', '214141', '313111'],
'34': ['221211', '112111', '232003', '111111', '172610', '112133', '333223']
};

    // Créer les sélecteurs avec des images pour chaque chiffre
    document.querySelectorAll('.digit-select').forEach((selectDiv) => {
        for (const [value, image] of Object.entries(imageMap)) {
            const img = document.createElement('img');
            img.src = image;
            img.dataset.value = value;
            img.addEventListener('click', () => {
                // Désélectionner les autres images dans le même groupe
                selectDiv.querySelectorAll('img').forEach(img => img.classList.remove('selected'));
                // Sélectionner l'image cliquée
                img.classList.add('selected');
            });
            selectDiv.appendChild(img);
        }
    });

    // Fonction de recherche des motifs
    document.getElementById('searchButton').addEventListener('click', () => {
        let searchValue = '';

        // Récupérer la valeur sélectionnée pour chaque chiffre
        document.querySelectorAll('.digit-select').forEach(selectDiv => {
            const selectedImg = selectDiv.querySelector('.selected');
            if (selectedImg) {
                searchValue += selectedImg.dataset.value;
            } else {
                searchValue += '0'; // Par défaut, 0 si aucune image n'est sélectionnée
            }
        });

        const patternDisplay = document.getElementById('patternDisplay');
        if (!patternDisplay) {
            const newPatternDisplay = document.createElement('div');
            newPatternDisplay.id = 'patternDisplay';
            document.body.appendChild(newPatternDisplay);
        } else {
            patternDisplay.innerHTML = ''; // Réinitialiser l'affichage du pattern
        }

        // Parcourir chaque motif
        for (const [patternId, lines] of Object.entries(patterns)) {
            let patternMatched = false;

            lines.forEach(line => {
                if (line === searchValue) {
                    patternMatched = true;
                }
            });

            if (patternMatched) {
                // Afficher tout le pattern
                const patternContainer = document.createElement('div');
                patternContainer.className = 'pattern-container';
                const patternTitle = document.createElement('h3');
                patternTitle.textContent = `Pattern ${patternId}`;
                patternContainer.appendChild(patternTitle);

                lines.forEach(line => {
                    const lineDiv = document.createElement('div');
                    lineDiv.className = 'pattern-line';
                    if (line === searchValue) {
                        lineDiv.classList.add('highlighted');
                    }

                    // Ajouter les images pour chaque ligne
                    [...line].forEach(char => {
                        const img = document.createElement('img');
                        img.src = imageMap[char];
                        lineDiv.appendChild(img);
                    });

                    patternContainer.appendChild(lineDiv);
                });

                document.getElementById('patternDisplay').appendChild(patternContainer);
            }
        }

        if (!document.getElementById('patternDisplay').children.length) {
            const listItem = document.createElement('div');
            listItem.textContent = 'Aucun résultat trouvé.';
            document.getElementById('patternDisplay').appendChild(listItem);
        }
    });

})();