31:T5b5, { let shown_data; if (order === 'Fréquence') { shown_data = data2; } else { shown_data = data_wracc; } const limitedData = shown_data.filter(d => joueur1.includes(d.Joueur1)) .filter(d => lat1.includes(d.lat1)) .filter(d => Coup1.includes(d.Coup1)) .filter(d => Zone1.includes(d.Zone1)) .filter(d => lat2.includes(d.lat2)) .filter(d => Coup2.includes(d.Coup2)) .filter(d => Zone2.includes(d.Zone2)) .slice(0, nb_sequences); // Création d'un élément conteneur pour le tableau const container = d3.create("div").style("overflow", "auto"); // Créer un tableau HTML const table = container.append("table").style("width", "100%"); const thead = table.append("thead"); const tbody = table.append("tbody"); // Ajouter les en-têtes de colonne thead.append("tr") .selectAll("th") .data([...Object.keys(limitedData[0])]) .enter() .append("th") .text(d => d); // Ajouter les lignes de données const rows = tbody.selectAll("tr") .data(limitedData) .enter() .append("tr"); // Ajouter les cellules pour chaque ligne rows.selectAll("td.data") .data(row => Object.values(row)) .enter() .append("td") .attr("class", "data") .text(d => d); return container.node(); }32:T963,function afficher_evol_sequences(csv) { // Identifier les changements de set let changes = []; for (let i = 1; i < csv.length; i++) { if (csv[i].set !== csv[i-1].set){ let dif_score = csv[i].score_equipe_A + csv[i].score_equipe_B; changes.push(csv[i].num_echange - 0.5 - dif_score); } } let maxEchange = Math.max(...csv.map(d => d.num_echange)); let scoreMark = evolution_score(csv_score, true, true, true, true); // Fonction pour créer les points de Plot, incluant une condition pour ignorer les séquences vides function createDotPlot(index) { // Vérifier si l'index de la séquence est dans filteredSequences if (!filteredSequences.includes(index)) return null; let seqKey = `seq${index}`; let filteredData = csv.filter(d => d[seqKey] != null && d[seqKey] !== ""); if (filteredData.length === 0) return null; return Plot.dot(filteredData, { x: "num_echange", y: seqKey, fill: "winner", symbol: "serveur", r: 5 }); } // Génération des interactions pour chaque séquence function generateInteractions(index) { // Vérifier si l'index de la séquence est dans filteredSequences if (!filteredSequences.includes(index)) return null; let seqKey = `seq${index}`; return on(Plot.dot(csv, { x: "num_echange", y: seqKey, opacity: 0, // rendre la série invisible initialement fill: "#f02b2b77", r: 10 }), { dblclick: function (event, { datum }) { mutable out_visu_thomas = datum; }, click: function (event, { datum }) { d3.select(event.target).style("fill", "#f02b2b77"); mutable out_visu_thomas = datum; mutable debug_visu_thomas = arguments; }, pointerenter: function (event) { d3.select(event.target).style("cursor", "pointer").style("opacity", 1); }, pointerout: function (event) { d3.select(event.target).style("cursor", "pointer").style("opacity", 0); } }); } // Configuration et affichage du graphique return Plot.plot({ height: 600, width: 1200, style: "overflow: visible;", color: { legend: true }, marginLeft: 110, x: { domain: [0, maxEchange + 1] }, marks: [ ...Array.from({length: nb_sequences+1}, (_, i) => createDotPlot(i)), ...Array.from({length: nb_sequences+1}, (_, i) => generateInteractions(i)), Plot.ruleX(changes, { x: d => d, stroke: "black", strokeWidth: 2, strokeDasharray: "5,5" }), ] }); } 33:T564,function on(mark, listeners = {}) { const render = mark.render; mark.render = function (facet, { x, y }, channels) { // 🌶 I'd like to be allowed to read the facet // … mutable debug = fx.domain()?? // 🌶 data[i] may or may not be the datum, depending on transforms // (at this stage we only have access to the materialized channels we requested) // but in simple cases it works const data = this.data; // 🌶 since a point or band scale doesn't have an inverse, create one from its domain and range if (x && x.invert === undefined) x.invert = d3.scaleQuantize(x.range(), x.domain()); if (y && y.invert === undefined) y.invert = d3.scaleQuantize(y.range(), y.domain()); const g = render.apply(this, arguments); const r = d3.select(g).selectChildren(); for (const [type, callback] of Object.entries(listeners)) { r.on(type, function (event, i) { const p = d3.pointer(event, g); callback(event, { type, p, datum: data[i], i, facet, data, ...(x && { x: x.invert(p[0]) }), ...(y && { y: y.invert(p[1]) }), ...(x && channels.x2 && { x2: x.invert(channels.x2[i]) }), ...(y && channels.y2 && { y2: y.invert(channels.y2[i]) }) }); }); } return g; }; return mark; }34:T42f,{ await data3; // Application des filtres const limitedData = data3.slice(0, lim_echange); const sequenceIndices = filteredSequences; const otherKeys = ['num_echange', 'serveur', 'winner', 'set', 'score_joueur_A', 'score_joueur_B']; const allKeys = Object.keys(limitedData[0]); const keysToShow = allKeys.filter(key => key.startsWith("seq") && sequenceIndices.includes(parseInt(key.substring(3))) ); const keys = [...otherKeys, ...keysToShow]; // Création du tableau const container = d3.create("div").style("overflow", "auto"); const table = container.append("table").style("width", "100%"); const thead = table.append("thead"); const tbody = table.append("tbody"); thead.append("tr") .selectAll("th") .data(keys) .enter() .append("th") .text(d => d); tbody.selectAll("tr") .data(limitedData) .enter() .append("tr") .selectAll("td.data3") .data(row => keys.map(key => row[key])) .enter() .append("td") .attr("class", "data3") .text(d => d); return container.node(); } 35:T763, /* { // Charger les données const limitedData = data3.slice(0, lim_echange); const sequenceIndices = filteredSequences; const otherKeys = ['num_echange', 'serveur', 'winner', 'set', 'score_joueur_A', 'score_joueur_B']; // Filtrer les clés des colonnes à afficher, en incluant uniquement les 'seq{i}' nécessaires const allKeys = Object.keys(limitedData[0]); const keysToShow = allKeys.filter(key => key.startsWith("seq") && sequenceIndices.includes(parseInt(key.substring(3))) ); // Création d'un élément conteneur pour le tableau const container = d3.create("div").style("overflow", "auto"); // Créer un tableau HTML const table = container.append("table").style("width", "100%"); const thead = table.append("thead"); const tbody = table.append("tbody"); // Déterminer les clés à utiliser basées sur nb_sequences // const keys = Object.keys(limitedData[0]).slice(0, nb_sequences+6); const keys = [...otherKeys, ...keysToShow]; const headers = [...keys]; // Ajouter une colonne pour le numéro de ligne // Ajout d'autres clés si nécessaire // const otherKeys = ['someOtherKey1', 'someOtherKey2']; // Remplacer par les clés réelles que vous voulez inclure // const keys = [...otherKeys, ...keysToShow]; // Ajouter les en-têtes de colonne thead.append("tr") .selectAll("th") .data(headers) .enter() .append("th") .text(d => d); // Ajouter les lignes de données const rows = tbody.selectAll("tr") .data(limitedData) .enter() .append("tr"); // Ajouter les cellules pour chaque ligne en se limitant aux clés sélectionnées rows.selectAll("td.data3") .data(row => keys.map(key => row[key])) // Prendre seulement les valeurs des clés sélectionnées .enter() .append("td") .attr("class", "data3") .text(d => d); return container.node(); } */36:T7b7,flat_filtre = flat.filter(d => ["PRITHIKA-PAVADE_vs_SIBEL-ALTINKAYA","ALEXIS-LEBRUN_vs_BENDIKT-DUDA","ALEXIS-LEBRUN_vs_DARKO-JORGIC","FELIX-LEBRUN_vs_TOMOKAZU-HARIMOTO","ALEXIS-LEBRUN_vs_FAN-ZHENDONG","ALEXIS-LEBRUN_vs_TRULS-MOREGARDH","PRITHIKA-PAVADE_vs_LIU-HSING-YIN","ALEXIS-LEBRUN_vs_IVOR-BAN","ALEXIS-LEBRUN_vs_DIMITRIJ-OVTCHAROV","ECE-HARAC_vs_ARIANNA-BARANI","ALEXIS-LEBRUN_vs_MA-LONG","ALEXIS-LEBRUN_vs_HUGO-CALDERANO","GAIA-MONFARDINI_vs_OZGE-YILMAZ","PRITHIKA-PAVADE_vs_GIORGIA-PICCOLIN","JIA-NAN-YUAN_vs_DEBORA-VIVARELLI","JIA-NAN-YUAN_vs_NICOLE-ARLIA","HUGO-CALDERANO_vs_FELIX-LEBRUN","FELIX-LEBRUN_vs_HUGO-CALDERANO","FAN-ZHENDONG_vs_ALEXIS-LEBRUN","FAN-ZHENDONG_vs_FELIX-LEBRUN","FAN-ZHENDONG_vs_WANG-CHUQIN","LEE-SANG-SU_vs_FAN-ZHENDONG","ALEXIS-LEBRUN_vs_KRISTIAN-KARLSSON"].includes(d.game_name) && d.competition_name != "2022_macao_china" && d.competition_name != "2023_coupe_monde_mixte" && d.competition_name != "2023_xinxiang")//flat.filter(d => ["PAVADE-PRITHIKA_LUTZ-CAMILLE_vs_WEGRZYN-ANNA_WEGRZYN-KATARZYNA","WINTER-SABINE_MITTELHAM-NINA_vs_LIAN-NI-XIA_DE-NUTTE-SARAH","LEBRUN-ALEXIS_vs_MOREGARDH-TRULS","SHAO-JIENI_YU-FU_vs_HAEUN-YANG_JIHEE-JEON","GAIA-MONFARDINI_vs_OZGE-YILMAZ","PRITHIKA-PAVADE_vs_SIBEL-ALTINKAYA","YUAN-JIA-NAN_vs_NICOLE-ARLIA","PRITHIKA-PAVADE_vs_GIORGIA-PICCOLIN","ECE-HARAC_vs_ARIANNA_BARANI","JIA-NAN-YUAN_vs_DEBORA-VIVARELLI","GAIA-MONFARDINI_vs_OZGE-YILMAZ","ALEXIS-LEBRUN_vs_DARKO-JORGIC","LEBRUN-ALEXIS_vs_OVTCHAROV-DIMITRIJ","LEBRUN-ALEXIS_vs_DUDA-BENDIKT","ALEXIS-LEBRUN_vs_KRISTIAN-KARLSSON","LEBRUN-FELIX_PAVADE-PRITHIKA_vs_YIGENLER-ABDULLAH_YILMAZ-OZGE","LEBRUN-FELIX_PAVADE-PRITHIKA_vs_HARIMOTO-TOMOKAZU_HAYATA-HINA","LEBRUN-FELIX_PAVADE-PRITHIKA_vs_ROBLES-ALVARO_XIAO-MARIA","LEBRUN-FELIX_PAVADE-PRITHIKA_vs_GNANASEKARAN_BATRA","FAN-ZHENDONG_vs_WANG-CHUQIN","LEBRUN-FELIX_vs_HARIMOTO-TOMOKAZU"].includes(d.game_name))//,"ALEXIS-LEBRUN_vs_FAN-ZHENDONG","WINTER-SABINE_MITTELHAM-NINA_vs_LIAN-NI-XIA_DE-NUTTE-SARAH"37:T43f,csv_annotation = d3.csv(url_csv_annotation, (d,i) => { d = d3.autoType(d) var num_point = d.num_point console.log(d.num_point) d.id_coup = i d.nom_jA_1 = players[0] d.nom_jA_2 = players[1] d.nom_jB_1 = players[2] d.nom_jB_2 = players[3] d.est_coup = 1 d.score_jA = csv_evolution_score[d.num_point]['score_jA'] d.score_jB = csv_evolution_score[d.num_point]['score_jB'] d.set_jA = csv_evolution_score[d.num_point]['set_jA'] d.set_jB = csv_evolution_score[d.num_point]['set_jB'] d.cote_jA = csv_evolution_score[d.num_point]['cote_jA'] d.cote_jB = csv_evolution_score[d.num_point]['cote_jB'] d.url = url_pipeline + "/" + competition + "/" + game + "/clips/" + flat.filter(d=>d.competition_name == competition && d.game_name == game)[0]["game_clips"].filter(d=>d.name.includes('point_'+num_point))[0]['name'] + "/" + flat.filter(d=>d.competition_name == competition && d.game_name == game)[0]["game_clips"].filter(d=>d.name.includes('point_'+num_point))[0]['name'] + "_crop_carre.jpg" d.afficher_facette = true d.afficher_similarite = false return d })38:[] 2f:{"title":"Services-remises par match","cells":[{"id":0,"value":"# Services-remises par match\n\n_Ce notebook permet d'afficher les meilleures séquences de service-remise ayant été jouées par chaque joueur au cours des différents matchs annotés._","pinned":false,"hidden":false,"mode":"md"},{"id":8,"value":"get_notebooks_tt(competition, game)","pinned":false,"hidden":false,"mode":"ojs"},{"id":266,"value":"\n**TODO :**\n","pinned":false,"hidden":false,"mode":"md"},{"id":1335,"value":"- Laisser le choix d'ordre des séquences : soit fréquence soit wracc\n- Afficher les compilations des points contenant une séquence en particulier en cliquant sur le point\n- **Ajouter les matchs de double**\n- S'occuper des 5 matchs qui ne fonctionnent pas ","pinned":false,"hidden":false,"mode":"md"},{"id":504,"value":"Sont présents **${actual_flat_filtre.length}** matchs parmi **${Array.from(d3.group(actual_flat_filtre, d => d.competition_name)).length}** compétitions différentes","pinned":false,"hidden":false,"mode":"md"},{"id":1359,"value":"viewof type_match = Inputs.radio(['Simples','Doubles'], {value: \"Simples\", label: \"Format des matchs :\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1361,"value":"actual_flat_filtre = (type_match == \"Simples\") ? flat_filtre : flat_double;","pinned":false,"hidden":false,"mode":"ojs"},{"id":506,"value":"viewof competition = select_competitions(actual_flat_filtre, (competition_from_url !== \"NONE\") ? competition_from_url: \"\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":509,"value":"viewof game = select_games(actual_flat_filtre, competition, (game_from_url !== \"NONE\") ? game_from_url: \"\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":614,"value":"viewof gagnant = Inputs.radio([teams[0],teams[1],\"LES DEUX\"], {value: \"LES DEUX\", label: \"Afficher les points gagnés par :\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1082,"value":"viewof serveur = Inputs.radio(\n players.filter(player => player !== \"balle\").concat(\"TOUS\"), \n {\n value: \"TOUS\", \n label: \"Afficher les points ayant comme serveur :\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":914,"value":"viewof nb_sequences = Inputs.range([1, nb_max_seq], {step: 1, value: 10, label: \"Nombre de séquences affichées\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":386,"value":"{\n return html`\n

\n \n

\n ${\n serveur !== \"TOUS\" && gagnant !== \"LES DEUX\" ?\n afficher_evol_sequences(csv_thomas_pipeline.filter(d => d.winner == gagnant && d.serveur == serveur)) :\n serveur !== \"TOUS\" ?\n afficher_evol_sequences(csv_thomas_pipeline.filter(d => d.serveur == serveur)) :\n gagnant !== \"LES DEUX\" ?\n afficher_evol_sequences(csv_thomas_pipeline.filter(d => d.winner == gagnant)) :\n afficher_evol_sequences(csv_thomas_pipeline)\n }\n

\n \n

\n ${\n video_interactif_thomas\n } \n

\n\n`\n \n} ","pinned":false,"hidden":false,"mode":"ojs"},{"id":963,"value":"**Evolution du score :**","pinned":false,"hidden":false,"mode":"md"},{"id":655,"value":"{\nreturn html`\n

\n \n

\n ${evolution_score(csv_score,true,true,true,true)}\n

\n\n`\n \n} ","pinned":false,"hidden":false,"mode":"ojs"},{"id":966,"value":"**Liste des séquences étudiées ordonné par fréquence :**","pinned":false,"hidden":false,"mode":"md"},{"id":1035,"value":"viewof target = Inputs.radio(\n players.filter(player => player !== \"balle\"), \n {\n value: players[0], \n label: \"Afficher les séquences efficaces pour :\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1352,"value":"viewof order = Inputs.radio(['Fréquence','Wracc'], {value: 'Fréquence', label: \"Classer les séquences par :\"})","pinned":true,"hidden":false,"mode":"ojs"},{"id":1025,"value":"nb_max_seq = d3.csv(url_tableau_sequences, d3.autoType)\n .then(data => {\n console.log(\"Nombre de lignes dans le CSV :\", data.length);\n return data.length; // Cette valeur sera affectée à rowCount\n });","pinned":false,"hidden":false,"mode":"ojs"},{"id":1075,"value":"viewof joueur1 = Inputs.checkbox(\n players.filter(player => player !== \"balle\"), \n {\n value: players.filter(player => player !== \"balle\"), \n label: \"Joueur1 : serveur\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1087,"value":"viewof lat1 = Inputs.checkbox([\"coup_droit\",\"revers\", \"all\"], {value: [\"coup_droit\",\"revers\", \"all\"],label: \"lat1 : latéralité service\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1092,"value":"viewof Coup1 = Inputs.checkbox([\"lat_droit\",\"lat_gauche\",\"droit\", \"all\"], {value: [\"lat_droit\",\"lat_gauche\",\"droit\", \"all\"],label: \"Coup1 : effet service\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1143,"value":"viewof Zone1 = Inputs.checkbox([\"G_Court\",\"M_Court\",\"D_Court\",\"G_Long\",\"M_Long\",\"D_Long\",\"all\"], {value: [\"G_Court\",\"M_Court\",\"D_Court\",\"G_Long\",\"M_Long\",\"D_Long\",\"all\"],label: \"Zone1 : zone 2ème rebond service\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1090,"value":"viewof lat2 = Inputs.checkbox([\"coup_droit\",\"revers\",\"all\"], {value: [\"coup_droit\",\"revers\",\"all\"],label: \"lat2 : lateralité remise\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1145,"value":"viewof Coup2 = Inputs.checkbox([\"flip\",\"poussette\",\"topspin\", \"all\"], {value: [\"flip\",\"poussette\",\"topspin\", \"all\"],label: \"Coup2 : effet remise\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1147,"value":"viewof Zone2 = Inputs.checkbox([\"G_Court\",\"M_Court\",\"D_Court\",\"G_Long\",\"M_Long\",\"D_Long\",\"all\"], {value: [\"G_Court\",\"M_Court\",\"D_Court\",\"G_Long\",\"M_Long\",\"D_Long\",\"all\"],label: \"Zone2 : zone remise\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1056,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":1341,"value":"data = await d3.csv(url_tableau_sequences, d3.autoType)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1344,"value":"data_wracc = data2.slice().sort(function(a, b) {\n return b[\"WRACC\"] - a[\"WRACC\"];\n});","pinned":false,"hidden":false,"mode":"ojs"},{"id":1105,"value":"limitedData2 = data2.filter(d => joueur1.includes(d.Joueur1))\n .filter(d => lat1.includes(d.lat1))\n .filter(d => Coup1.includes(d.Coup1))\n .filter(d => Zone1.includes(d.Zone1))\n .filter(d => lat2.includes(d.lat2))\n .filter(d => Coup2.includes(d.Coup2))\n .filter(d => Zone2.includes(d.Zone2))\n .slice(0, nb_sequences);","pinned":false,"hidden":false,"mode":"ojs"},{"id":1093,"value":"data2 = d3.csv(url_tableau_sequences, (d, i) => {\n // Auto-typing toutes les propriétés sauf Index\n d = d3.autoType(d);\n \n // Créer un nouvel objet avec Index en première position\n let newData = { Numéro_séquence: i + 1 }; // Définir d'abord l'Index\n \n // Copier toutes les autres propriétés de d dans newData\n Object.keys(d).forEach(key => {\n newData[key] = d[key];\n });\n \n return newData;\n});","pinned":false,"hidden":false,"mode":"ojs"},{"id":1176,"value":"filteredSequences = limitedData2.map(d => d.Numéro_séquence);","pinned":false,"hidden":false,"mode":"ojs"},{"id":1073,"value":"Target : ","pinned":false,"hidden":false,"mode":"md"},{"id":579,"value":"teams[1]","pinned":false,"hidden":false,"mode":"ojs"},{"id":272,"value":"afficher_evol_sequences(csv_thomas_pipeline)","pinned":false,"hidden":false,"mode":"ojs"},{"id":647,"value":"video_interactif_thomas_bis = {\n let src_video = url_video_interactif_thomas_bis;\n return html`\n

`\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":977,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":974,"value":"video_interactif_thomas = {\n let src_video = url_video_interactif_thomas;\n return html`\n

`\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":295,"value":"mutable out_visu_thomas = ({})","pinned":false,"hidden":false,"mode":"ojs"},{"id":297,"value":"mutable debug_visu_thomas = ({})","pinned":false,"hidden":false,"mode":"ojs"},{"id":550,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":957,"value":"rowCount = d3.csv(url_csv_thomas, d3.autoType)\n .then(data => {\n console.log(\"Nombre de lignes dans le CSV :\", data.length);\n return data.length; // Cette valeur sera affectée à rowCount\n });","pinned":false,"hidden":false,"mode":"ojs"},{"id":950,"value":"viewof lim_echange = Inputs.range([1, rowCount], {\n step: 1,\n label: \"lim_echange\",\n value: 10 // Définit la valeur par défaut à 10\n});","pinned":false,"hidden":false,"mode":"ojs"},{"id":1217,"value":"data3 = d3.csv(url_csv_thomas, d3.autoType);","pinned":false,"hidden":false,"mode":"ojs"},{"id":1251,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":1270,"value":"$35","pinned":true,"hidden":false,"mode":"ojs"},{"id":44,"value":"## Csv","pinned":false,"hidden":false,"mode":"md"},{"id":341,"value":"csv_thomas_pipeline = d3.csv(url_csv_thomas, (d,i) => { \n d = d3.autoType(d)\n return d\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":846,"value":"csv_tableau_sequences = d3.csv(url_tableau_sequences, (d,i) => { \n d = d3.autoType(d)\n return d\n});","pinned":true,"hidden":false,"mode":"ojs"},{"id":1330,"value":"csv_tableau_sequences.then(data => {\n // Trier par WRACC décroissant\n data.sort((a, b) => b.WRACC - a.WRACC);\n\n let url_tableau_sequences_wracc = data;\n});","pinned":true,"hidden":false,"mode":"ojs"},{"id":46,"value":"$36","pinned":true,"hidden":false,"mode":"ojs"},{"id":1365,"value":"flat_double = flat.filter(d => d.game_name.split('_vs_')[0].split('_').length == 2 && d.game_name.split('_vs_').length == 2)","pinned":true,"hidden":false,"mode":"ojs"},{"id":56,"value":"$37","pinned":false,"hidden":false,"mode":"ojs"},{"id":62,"value":"players = (json_game.playerA_2 != '' & json_game.playerA_2 != undefined)?[json_game.playerA_1,json_game.playerA_2,json_game.playerB_1,json_game.playerB_2]:[json_game.playerA,json_game.playerB,\"balle\"]","pinned":false,"hidden":false,"mode":"ojs"},{"id":64,"value":"teams = [json_game.playerA,json_game.playerB]","pinned":false,"hidden":false,"mode":"ojs"},{"id":66,"value":"json_game = d3.json(url_json_game, d => { \n d = d3.autoType(d)\n return d\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":71,"value":"csv_evolution_score = d3.csv(url_csv_evolution_score, (d,i) => { \n d = d3.autoType(d)\n return d\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":659,"value":"csv_score = d3.csv(url_csv_score, (d,i) => { \n d = d3.autoType(d)\n d.nom_jA = players[0]\n d.nom_jB = players[1]\n d.num_point = i+1\n d.diff_jA = d.score_jA - d.score_jB\n d.diff_jB = d.score_jB - d.score_jA\n d.point_pour_jA = (d.point_pour == players[0])?1:0\n d.point_pour_jB = (d.point_pour == players[1])?1:0\n return d\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":27,"value":"## Url","pinned":false,"hidden":false,"mode":"md"},{"id":1372,"value":"file1 = (type_match == \"Simples\") ? 'evol_service_remise' : 'doubles_services-remises';","pinned":true,"hidden":false,"mode":"ojs"},{"id":1379,"value":"file2 = (type_match == \"Simples\") ? 'service_remise' : 'doubles_services-remises';","pinned":true,"hidden":false,"mode":"ojs"},{"id":338,"value":"url_csv_thomas = url_pipeline + \"Dossier_Thomas_Lou\" + \"/\" + \"csv_sequences_pour_notebook\" + \"/\" + \"service_remise\" + \"/\" + file1 + \"/\" + \"evol_service-remise_\" + target + \"_match_\" + game + \".csv?test=test7\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":850,"value":"url_tableau_sequences = url_pipeline + \"Dossier_Thomas_Lou\" + \"/\" + \"csv_sequences_pour_notebook\" + \"/\" + \"service_remise\" + \"/\" + file2 + \"/\" + \"service-remise_\" + target + \"_match_\" + game + \".csv?test=test2\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":1332,"value":"","pinned":true,"hidden":false,"mode":"ojs"},{"id":661,"value":"url_csv_score = url_pipeline + competition + \"/\" + game + \"/\" + \"/\" + game + \"_evolution_score.csv?test=test3\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":68,"value":"url_json_game = url_pipeline + competition + \"/\" + game + \"/\" + game + \"_game.json?test=test0\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":60,"value":"url_csv_evolution_score = url_pipeline + competition + \"/\" + game +\"/\" + game + \"_evolution_score.csv?test=test2\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":58,"value":"url_csv_annotation = url_pipeline + competition + \"/\" + game +\"/\" + game + \"_annotation_enrichi.csv?test=test8\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":350,"value":"url_video_interactif_thomas = url_pipeline + \"/\" + competition + \"/\" + game + \"/clips/\" + nom_clip_thomas + \"/\" + nom_clip_thomas + \".mp4\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":650,"value":"url_video_interactif_thomas_bis = url_pipeline + \"/\" + competition + \"/\" + game + \"/clips/\" + nom_clip_thomas + \"/\" + nom_clip_thomas + \".mp4\"\n// Ajouter les temps de début et fin de chaque service dans le csv services à partir du csv enrichi, et délimiter la vidéo en fonction de ces frames là\n// S'aider du notebook \"Services\"\n\n/* url_video = url_pipeline + \"/\" + competition + \"/\" + game + \"/clips/\" + nom_clip_selection + \"/\" + nom_clip_selection + \".mp4#t=0,\"+(((csv_annotation.filter(d => d.num_coup == 1 && d.num_point == counter)[0].fin-csv_annotation.filter(d => d.num_coup == 1 && d.num_point == counter)[0].debut)/30)+0.25) */","pinned":true,"hidden":false,"mode":"ojs"},{"id":355,"value":"nom_clip_thomas = flat.filter(d=>d.competition_name == competition && d.game_name == game)[0][\"game_clips\"].filter(d=>d.name.includes('point_'+((debug_visu_thomas[1] == null)?0:((debug_visu_thomas[1][\"datum\"][\"num_echange\"]<=csv_thomas_pipeline.length)?debug_visu_thomas[1][\"datum\"][\"num_echange\"]:0))))[0]['name']","pinned":true,"hidden":false,"mode":"ojs"},{"id":730,"value":"## Querry","pinned":false,"hidden":false,"mode":"md"},{"id":25,"value":"game_from_url = querystrings.get(\"game\") || \"NONE\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":29,"value":"competition_from_url = querystrings.get(\"competition\") || \"NONE\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":31,"value":"clip_from_url = querystrings.get(\"clip\") || \"NONE\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":10,"value":"## Import","pinned":false,"hidden":false,"mode":"md"},{"id":13,"value":"import {get_notebooks_tt, url_pipeline} from \"@liris/tt\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":16,"value":"import {flat, select_competitions, select_games, select_clips} from \"@liris/selecteur-tt\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":18,"value":"import {Select,checkbox} from \"@observablehq/inputs\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":140,"value":"import {coor_filet,coor_table,zone_table} from \"@liris/tt-constantes\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":34,"value":"import {TABLE,TABLE_LENGTH,TABLE_WIDTH} from \"@liris/tt-constantes\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":36,"value":"import {TABLE_MINUS_2,CENTER_LINE,WHITE_NET,BLACK_NET_LEFT,BLACK_NET_RIGTH} from \"@liris/tt-constantes\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":38,"value":"import { videoControls } from '@severo/detached-video-controls'","pinned":true,"hidden":false,"mode":"ojs"},{"id":40,"value":"import {querystrings} from \"@liris/selecteur\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":657,"value":"import {evolution_score} from \"@liris/tt-score\"","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W38","stdlib":"1","titling":"auto"}