31:T6aa, { let shown_data; if (order === 'Fréquence') { shown_data = data2; } else { shown_data = data_freq; } 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)) .filter(d => lat3.includes(d.lat3)) .filter(d => Coup3.includes(d.Coup3)) .filter(d => Zone3.includes(d.Zone3)) .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])]) // Ajouter une colonne pour le numéro de ligne .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:T89c,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_joueur_A + csv[i].score_joueur_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(sequence) { let filteredData = csv.filter(d => d[sequence] != null && d[sequence] !== ""); if (filteredData.length === 0) return null; return Plot.dot(filteredData, { x: "num_echange", y: sequence, fill: "winner", symbol: "serveur", r: 5 }); } // Génération des interactions pour chaque séquence function generateInteractions(index) { return on(Plot.dot(csv, { x: "num_echange", y: `sequence${index}`, opacity: 0, // rendre la série invisible initialement fill: "#f02b2b77", r: 10 }), { dblclick: function (event, { datum }) { mutable out_visu_thomas = datum; }, click: function (event, { datum }) { d3.select(event.target).style("fill", "#f02b2b77"); mutable out_visu_thomas = datum; mutable debug_visu_thomas = arguments; }, pointerenter: function (event) { d3.select(event.target).style("cursor", "pointer").style("opacity", 1); }, pointerout: function (event) { d3.select(event.target).style("cursor", "pointer").style("opacity", 0); } }); } // Configuration et affichage du graphique return Plot.plot({ height: 600, width: 1200, style: "overflow: visible;", color: { legend: true }, marginLeft: 110, x: { domain: [0, maxEchange + 1] }, marks: [ ...Array.from({length: nb_sequences+1}, (_, i) => createDotPlot(`sequence${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:T595,{ // Charger les données const data = await d3.csv(url_csv_thomas, d3.autoType); // Prendre les 5 premières lignes const limitedData = data.slice(0, lim_echange); // 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 headers = ["#", ...keys]; // Ajouter une colonne pour le numéro de ligne // 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 une cellule pour le numéro de ligne rows.append("td") .text((_, i) => i + 1); // Numéroter les lignes à partir de 1 // Ajouter les cellules pour chaque ligne en se limitant aux clés sélectionnées rows.selectAll("td.data") .data(row => keys.map(key => row[key])) // Prendre seulement les valeurs des clés sélectionnées .enter() .append("td") .attr("class", "data") .text(d => d); return container.node(); } 35:T7b9,//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"36: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 })37:[] 2f:{"title":"Séquences de jeu par matchs","cells":[{"id":0,"value":"# Séquences de jeu par matchs\n\n_Ce notebook permet d'afficher les meilleures séquences de jeu 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":504,"value":"Sont présents **${flat_filtre.length}** matchs parmi **${Array.from(d3.group(flat_filtre, d => d.competition_name)).length}** compétitions différentes","pinned":false,"hidden":false,"mode":"md"},{"id":506,"value":"viewof competition = select_competitions(flat_filtre, (competition_from_url !== \"NONE\") ? competition_from_url: \"\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":509,"value":"viewof game = select_games(flat_filtre, competition, (game_from_url !== \"NONE\") ? game_from_url: \"\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":894,"value":"viewof target = Inputs.radio([teams[0],teams[1]], {value: teams[0], label: \"Afficher les séquences efficaces pour :\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":483,"value":"viewof serveur = Inputs.radio([teams[0],teams[1],\"LES DEUX\"], {value: \"LES DEUX\", label: \"Afficher les points ayant comme serveur :\"})","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":643,"value":"viewof onlyservice = Inputs.radio([\"ECHANGE COMPLET\",\"SERVICE UNIQUEMENT\"], {value: \"ECHANGE COMPLET\", label: \"Afficher dans la vidéo :\"})","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 !== \"LES DEUX\" && gagnant !== \"LES DEUX\" ?\n afficher_evol_sequences(csv_thomas_pipeline.filter(d => d.winner == gagnant && d.serveur == serveur)) :\n serveur !== \"LES DEUX\" ?\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 onlyservice !== \"SERVICE UNIQUEMENT\" ?\n video_interactif_thomas :\n video_interactif_thomas_bis\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 :**","pinned":false,"hidden":false,"mode":"md"},{"id":1011,"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; \n });","pinned":false,"hidden":false,"mode":"ojs"},{"id":1081,"value":"viewof order = Inputs.radio(['Fréquence','Wracc'], {value: 'Wracc', label: \"Classer les séquences par :\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1019,"value":"viewof joueur1 = Inputs.checkbox([teams[0], teams[1]], {value: [teams[0], teams[1]],label: \"Joueur1 : serveur\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1058,"value":"---------------------------------------------------------------------------------------------------------------------------","pinned":false,"hidden":false,"mode":"md"},{"id":1021,"value":"viewof lat1 = Inputs.checkbox([\"coup_droit\",\"revers\", \"all\"], {value: [\"coup_droit\",\"revers\", \"all\"],label: \"lat1 : latéralité 1er coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1023,"value":"viewof Coup1 = Inputs.checkbox([\"lat_droit\",\"lat_gauche\",\"droit\", \"flip\",\"poussette\",\"topspin\", \"all\"], {value: [\"lat_droit\",\"lat_gauche\",\"droit\", \"flip\",\"poussette\",\"topspin\",\"all\"],label: \"Coup1 : effet 1er coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1025,"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 1er coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1054,"value":"---------------------------------------------------------------------------------------------------------------------------","pinned":false,"hidden":false,"mode":"md"},{"id":1027,"value":"viewof lat2 = Inputs.checkbox([\"coup_droit\",\"revers\",\"all\"], {value: [\"coup_droit\",\"revers\",\"all\"],label: \"lat2 : lateralité 2ème coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1029,"value":"viewof Coup2 = Inputs.checkbox([\"flip\",\"poussette\",\"topspin\", \"all\"], {value: [\"flip\",\"poussette\",\"topspin\", \"all\"],label: \"Coup2 : effet 2ème coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1031,"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 2ème coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1056,"value":"---------------------------------------------------------------------------------------------------------------------------","pinned":false,"hidden":false,"mode":"md"},{"id":1045,"value":"viewof lat3 = Inputs.checkbox([\"coup_droit\",\"revers\",\"all\"], {value: [\"coup_droit\",\"revers\",\"all\"],label: \"lat3 : lateralité 3ème coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1048,"value":"viewof Coup3 = Inputs.checkbox([\"flip\",\"poussette\",\"topspin\", \"all\"], {value: [\"flip\",\"poussette\",\"topspin\", \"all\"],label: \"Coup3 : effet 3ème coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1051,"value":"viewof Zone3 = 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: \"Zone3 : zone 3ème coup de la séquence\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":856,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":1042,"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":1077,"value":"data_freq = data2.slice().sort(function(a, b) {\n return b[\"Nombre_Apparition\"] - a[\"Nombre_Apparition\"];\n});","pinned":false,"hidden":false,"mode":"ojs"},{"id":473,"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], {step: 1, value: 10, label: \"lim_echange\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":942,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":1115,"value":"## Partie purement statistique\nCette partie étudie les séquences de manière indépendantes des algorithme de fouille de données.\nPartie utilisée pour le livre et faite par Aymeric","pinned":false,"hidden":false,"mode":"md"},{"id":1117,"value":"csv_schema_coup = csv_annotation.map(d => {\n d.schema_coup = ((d.lateralite == \"revers\")?\"B_\":\"F_\")+((d.type_service == \"lat_droit\")?\"LR_\":((d.type_service == \"lat_gauche\")?\"LL_\":d.effet_coup.charAt(0).toUpperCase()+\"_\"))+((d.faute != null)?d.faute:d.zone_jeu)\n return d\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":1132,"value":"csv_annotation.filter(d => d.num_coup != 1)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1123,"value":"schema_coup_uniques = {\n const schema_coup_uniques = [\n ...new Set(\n csv_schema_coup\n .map(d => d.schema_coup)\n .filter(s =>\n !s.includes(\"out\") &&\n !s.includes(\"filet\") &&\n !s.includes(\"pt_gagne\")&&\n !s.includes(\"LR\")&&\n !s.includes(\"LL\")\n )\n )\n ];\n return schema_coup_uniques\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1135,"value":"schema_point = {\n const grouped = csv_annotation.reduce((acc, { num_point, schema_coup }) => {\n if (!acc[num_point]) acc[num_point] = [];\n acc[num_point].push(schema_coup);\n return acc;\n }, {});\n \n const result = Object.entries(grouped).map(([num_point, coups]) => ({\n num_point: Number(num_point), // convert back to number if needed\n schema_coup: coups.join(\"_\")\n }));\n\n return result \n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1155,"value":"triplet = schema_triplet(csv_annotation)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1158,"value":"liste_triplets = [...new Set(triplet.map(d => {return d.schema_coup}))]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1152,"value":"function schema_triplet(csv_annotation) {\n // Grouper par num_point\n const grouped = csv_annotation.reduce((acc, item) => {\n if (!acc[item.num_point]) acc[item.num_point] = [];\n acc[item.num_point].push(item);\n return acc;\n }, {});\n\n const result = [];\n\n // Pour chaque groupe (par num_point)\n Object.entries(grouped).forEach(([num_point, coups]) => {\n // Trier les coups par num_coup\n const sortedCoups = coups.sort((a, b) => a.num_coup - b.num_coup);\n\n // Construire les triplets consécutifs\n for (let i = 0; i <= sortedCoups.length - 3; i++) {\n const triplet = sortedCoups.slice(i, i + 3).map(c => c.schema_coup).join(\"_\");\n result.push({\n num_point: Number(num_point),\n schema_coup: triplet.replace(\"pt_gagne\",\"winner\").replace(\"filet\",\"net\")\n });\n }\n });\n\n return result;\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1389,"value":"triplet_service = schema_triplet_service(csv_annotation.filter(d => d.serveur != \"FAN-ZHENDONG\").filter(d => [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 43, 44, 45, 46, 47, 49, 50, 51, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 75].includes(d.num_point)))","pinned":true,"hidden":false,"mode":"ojs"},{"id":1467,"value":"csv_annotation","pinned":true,"hidden":false,"mode":"ojs"},{"id":1394,"value":"liste_triplets_service = [...new Set(triplet_service.map(d => {return d.schema_coup}))]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1387,"value":"function schema_triplet_service(csv_annotation) {\n // Grouper par num_point\n const grouped = csv_annotation.reduce((acc, item) => {\n if (!acc[item.num_point]) acc[item.num_point] = [];\n acc[item.num_point].push(item);\n return acc;\n }, {});\n\n const result = [];\n\n // Pour chaque groupe (par num_point)\n Object.entries(grouped).forEach(([num_point, coups]) => {\n // Trier les coups par num_coup\n const sortedCoups = coups.sort((a, b) => a.num_coup - b.num_coup);\n\n const triplet = sortedCoups.slice(0, 0 + 3).map(c => c.schema_coup).join(\"_\");\n if (sortedCoups.length >= 3){\n result.push({\n num_point: Number(num_point),\n schema_coup: triplet.replace(\"pt_gagne\",\"winner\").replace(\"filet\",\"net\")\n });\n }\n \n \n });\n\n return result;\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1144,"value":"[...new Set(schema_point.map(d => {return d.schema_coup}))]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1147,"value":"[...new Set(csv_annotation.map(d => {return d.num_coup}))]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1162,"value":"counts = {\n const frequence = d3.rollup(\n triplet.map(d => {return d.schema_coup}),\n v => v.length,\n d => d\n );\n\n return Array.from(frequence, ([valeur, count]) => ({ valeur, count }))\n .filter(d => d.count >= 2);\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1166,"value":"Plot.plot({\n y: {\n label: \"Occurrences\",\n grid: true\n },\n x: {\n label: \"Tactics\",\n tickRotate: -45\n },\n marks: [\n Plot.barY(counts, { x: \"valeur\", y: \"count\", fill: \"#4682b4\" }),\n Plot.text(counts, {\n x: \"valeur\",\n y: \"count\",\n text: d => d.count,\n dy: -6,\n fontSize: 12\n })\n ],\n marginBottom: 100, // 👈 ajoute une marge en bas\n height: 300\n})\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1181,"value":"function commonCharMatrix(sequences) {\n const n = sequences.length;\n const matrix = Array.from({ length: n }, () => Array(n).fill(0));\n\n for (let i = 0; i < n; i++) {\n for (let j = 0; j < n; j++) {\n const a = sequences[i].split('_');\n const b = sequences[j].split('_');\n const minLen = Math.min(a.length, b.length);\n let count = 0;\n\n for (let k = 0; k < minLen; k++) {\n if (a[k] === b[k]) count++;\n }\n\n matrix[i][j] = Math.round(count/9 * 100) / 100;\n }\n }\n\n return matrix;\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1183,"value":"matrix = {\n const sequences = [\n \"F_LR_m1_F_P_d3_F_P_g2\",\n \"F_P_d3_F_P_g2_B_T_g3\",\n \"F_P_g2_B_T_g3_B_T_out\",\n \"F_LR_m2_B_P_m3_F_P_g2\"\n ];\n \n const matrix = commonCharMatrix(triplet.map(d => {return d.schema_coup}).map(str => str.replace(/pt_gagne/g, \"winner\")));\n console.table(matrix);\n return matrix\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1396,"value":"matrix_service = {\n const sequences = [\n \"F_LR_m1_F_P_d3_F_P_g2\",\n \"F_P_d3_F_P_g2_B_T_g3\",\n \"F_P_g2_B_T_g3_B_T_out\",\n \"F_LR_m2_B_P_m3_F_P_g2\"\n ];\n \n const matrix = commonCharMatrix(triplet_service.map(d => {return d.schema_coup}).map(str => str.replace(/pt_gagne/g, \"winner\")));\n console.table(matrix);\n return matrix\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1208,"value":"function extraire10x10(matrice) {\n return matrice\n .slice(0, 10) // Prendre les 10 premières lignes\n .map(ligne => ligne.slice(0, 10)); // Pour chaque ligne, prendre les 10 premières colonnes\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1213,"value":"extraire10x10(matrix)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1202,"value":"// Cellule Observable\nviewof matriceDisplay = {\n const matrice = extraire10x10(matrix)\n\n const table = html`

`;\n\n for (const row of matrice) {\n const tr = html``;\n for (const cell of row) {\n const td = html`${cell}`;\n tr.appendChild(td);\n }\n table.appendChild(tr);\n }\n\n return table;\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1233,"value":"resultats = matrix.map(ligne =>\n ligne.filter(val => val > 0.7).length - 1\n);","pinned":true,"hidden":false,"mode":"ojs"},{"id":1259,"value":"resultats.reduce((acc, val) => acc + val, 0)/2","pinned":true,"hidden":false,"mode":"ojs"},{"id":1267,"value":"argmax = resultats.reduce((maxIndex, val, i, arr) =>\n val > arr[maxIndex] ? i : maxIndex\n, 0);","pinned":true,"hidden":false,"mode":"ojs"},{"id":1277,"value":"resultats[argmax]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1285,"value":"top10 = {const valeursAvecIndices = resultats.map((val, index) => ({ val, index }));\n\n// Trier par valeur décroissante\nvaleursAvecIndices.sort((a, b) => b.val - a.val);\n\n// Prendre les 10 premières\nreturn valeursAvecIndices.slice(0, 10);\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1402,"value":"resultats_service = matrix_service.map(ligne =>\n ligne.filter(val => val > 0.7).length - 1\n);","pinned":true,"hidden":false,"mode":"ojs"},{"id":1504,"value":"matrix_service","pinned":true,"hidden":false,"mode":"ojs"},{"id":1404,"value":"resultats_service.reduce((acc, val) => acc + val, 0)/2","pinned":true,"hidden":false,"mode":"ojs"},{"id":1406,"value":"argmax_service = resultats_service.reduce((maxIndex, val, i, arr) =>\n val > arr[maxIndex] ? i : maxIndex\n, 0);","pinned":true,"hidden":false,"mode":"ojs"},{"id":1408,"value":"resultats_service[argmax_service]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1411,"value":"top10_service = {const valeursAvecIndices = resultats_service.map((val, index) => ({ val, index }));\n// Trier par valeur décroissante\nvaleursAvecIndices.sort((a, b) => b.val - a.val);\n\n// Prendre les 10 premières\nreturn valeursAvecIndices.slice(0, 10);\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1271,"value":"triplet[argmax]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1290,"value":"top10_schema = top10.map((d,i) => {\n d.schema = triplet[d.index].schema_coup\n return d\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":1413,"value":"top10_schema_service_non_unique = top10_service.map((d,i) => {\n d.schema = triplet_service[d.index].schema_coup\n return d\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":1457,"value":"top10_schema_service = {\n const seen = new Set();\n const uniqueBySchema = top10_schema_service_non_unique.filter(obj => {\n if (seen.has(obj.schema)) return false;\n seen.add(obj.schema);\n return true;\n });\n return uniqueBySchema\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1295,"value":"Plot.plot({\n title: \"Top 10 shema\",\n y: {\n label: \"Occurrences\",\n grid: true\n },\n x: {\n label: \"Tactics\",\n tickRotate: -45\n },\n marks: [\n Plot.barY(top10_schema, { x: \"schema\", y: \"val\", fill: \"#4682b4\" }),\n Plot.text(top10_schema, {\n x: \"schema\",\n y: \"val\",\n text: \"val\",\n dy: -6,\n fontSize: 12\n })\n ],\n marginBottom: 110, // 👈 ajoute une marge en bas\n marginLeft: 60, // 👈 ajoute une marge en bas\n height: 300\n})\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1446,"value":"top10_schema_service","pinned":true,"hidden":false,"mode":"ojs"},{"id":1415,"value":"Plot.plot({\n title: \"Top 10 shema sevice\",\n y: {\n label: \"Occurrences\",\n grid: true\n },\n x: {\n label: \"Tactics\",\n tickRotate: -45\n },\n marks: [\n Plot.barY(top10_schema_service, { x: \"schema\", y: \"val\", fill: \"#4682b4\" }),\n Plot.text(top10_schema_service, {\n x: \"schema\",\n y: \"val\",\n text: \"val\",\n dy: -6,\n fontSize: 12\n })\n ],\n marginBottom: 110, // 👈 ajoute une marge en bas\n marginLeft: 60, // 👈 ajoute une marge en bas\n height: 300\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":1309,"value":"function transformerMatrice(matrix, seuil, triplet) {\n const n = matrix.length;\n const result = [];\n\n for (let i = 0; i < n; i++) {\n result[i] = [];\n for (let j = 0; j < matrix[i].length; j++) {\n if (i === j) {\n result[i][j] = 0;\n } else if (matrix[i][j] < seuil) {\n result[i][j] = 0;\n } else {\n result[i][j] = csv_annotation.filter(d => d.num_point == triplet[j].num_point)[0].winner == \"FAN-ZHENDONG\" ? 1 : -1;\n }\n }\n }\n\n return result;\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1311,"value":"matrix_ratio = transformerMatrice(matrix, 0.7, triplet)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1426,"value":"matrix_ratio_service = transformerMatrice(matrix_service, 0.6, triplet_service)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1332,"value":"matrix_ratio[top10[0].index]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1337,"value":"ratio_barchart = extraireElements(matrix_ratio, top10_schema, triplet)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1437,"value":"matrix_ratio_service","pinned":true,"hidden":false,"mode":"ojs"},{"id":1429,"value":"ratio_barchart_service = extraireElements(matrix_ratio_service, top10_schema_service, triplet_service)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1341,"value":"Plot.plot({\n y: {\n label: \"Occurrences\",\n grid: true\n },\n x: {\n label: \"Tactics\",\n tickRotate: -45\n },\n marks: [\n Plot.barY(\n ratio_barchart,\n Plot.groupX(\n { y: \"count\" },\n {\n x: \"schema\",\n fill: d => d.val === 1 ? \"#4682b4\" : \"#ffa500\"\n }\n )\n ),\n Plot.text(\n ratio_barchart,\n Plot.groupX(\n { y: \"count\" },\n {\n x: \"schema\",\n text: d => d.y, // nombre d'occurrences\n dy: -6,\n fontSize: 12\n }\n )\n )\n ],\n marginBottom: 110,\n marginLeft: 60,\n height: 300\n});\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1431,"value":"Plot.plot({\n y: {\n label: \"Occurrences\",\n grid: true\n },\n x: {\n label: \"Tactics\",\n tickRotate: -45\n },\n marks: [\n Plot.barY(\n ratio_barchart_service,\n Plot.groupX(\n { y: \"count\" },\n {\n x: \"schema\",\n fill: d => d.val === 1 ? \"#4682b4\" : \"#ffa500\"\n }\n )\n ),\n Plot.text(\n ratio_barchart_service,\n Plot.groupX(\n { y: \"count\" },\n {\n x: \"schema\",\n text: d => d.y, // nombre d'occurrences\n dy: -6,\n fontSize: 12\n }\n )\n )\n ],\n marginBottom: 110,\n marginLeft: 60,\n height: 300\n});\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":1372,"value":"B_T_g3_B_T_g3_B_T_m","pinned":true,"hidden":false,"mode":"ojs"},{"id":1358,"value":"Plot.plot({\n x: { label: \"Rally number\" },\n y: { label: \"Tactic\", grid: true },\n height: 300,\n width: 1000,\n marginLeft: 150,\n marks: [\n Plot.dot(ratio_barchart_service, {\n x: \"num_point\",\n y: \"schema\",\n fill: d => d.val === 1 ? \"#4682b4\" : \"#ffa500\",\n r: 5,\n title: d => `num_point: ${d.num_point}` // Info-bulle\n })\n ],\n})\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":1360,"value":"ratio_barchart","pinned":true,"hidden":false,"mode":"ojs"},{"id":1381,"value":"triplet.filter(d => d.num_point == 8)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1335,"value":"function extraireElements(matrix, top10, triplet) {\n const indices = top10.map(e => e.index); // récupérer les i concernés\n const resultat = [];\n\n for (const i of indices) {\n console.log(i)\n for (let j = 0; j < matrix[i].length; j++) {\n const valeur = matrix[i][j];\n if (valeur !== 0) {\n resultat.push({ val: valeur, schema: triplet[i].schema_coup, schema_sim:triplet[j].schema_coup, num_point:triplet[j].num_point });\n //console.log(triplet[j].schema_coup)\n }\n }\n }\n\n return resultat;\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1347,"value":"top10","pinned":true,"hidden":false,"mode":"ojs"},{"id":1326,"value":"matrix_ratio[6].filter(d => d == 1)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1320,"value":"function calculerScores(matrice) {\n return matrice.map(ligne => {\n let nb1 = 0;\n let nbNeg1 = 0;\n\n for (const val of ligne) {\n if (val === 1) nb1++;\n else if (val === -1) nbNeg1++;\n }\n\n const denominateur = nb1 + nbNeg1;\n return denominateur === 0 ? 0 : nb1 / denominateur;\n });\n}\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":1322,"value":"calculerScores(matrix_ratio)","pinned":true,"hidden":false,"mode":"ojs"},{"id":1241,"value":"[...new Set(resultats)]","pinned":true,"hidden":false,"mode":"ojs"},{"id":1244,"value":"liste_triplets.indexOf(\"B_B_g3_B_T_g2_B_T_m3\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":1249,"value":"{const valeurCible = \"B_B_g3_B_T_g2_B_T_m3\";\n\nconst positions = [];\ntriplet.map(d => {return d.schema_coup}).forEach((val, index) => {\n if (val === valeurCible) {\n positions.push(index);\n }\n \n});\n return positions\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":1479,"value":"{const data = [];\n\nmatrix_service.forEach((row, y) => {\n row.forEach((value, x) => {\n data.push({ x, y, value });\n });\n});\n\n return Plot.plot({\n color: {\n type: \"linear\",\n scheme: \"reds\", // Palette de rouges\n domain: [0, 1], // Adapter selon ta matrice\n legend: true\n },\n x: { label: \"Tactics\", tickRotate: -90 },\n y: { label: \"Tactics\", reverse: false },\n width: 600,\n marks: [\n Plot.rect(data, {\n x: \"x\",\n y: \"y\",\n fill: \"value\",\n title: d => `Valeur: ${d.value.toFixed(2)}`,\n inset: 0.5\n })\n ],\n width: 500,\n height: 500\n})\n\n \n}","pinned":false,"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":46,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":56,"value":"$36","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":338,"value":"url_csv_thomas = url_pipeline + \"Dossier_Thomas_Lou\" + \"/\" + \"csv_sequences_pour_notebook\" + \"/\" + \"evol_sequences_\" + target + \"_match_\" + game + \".csv?test=test9\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":850,"value":"url_tableau_sequences = url_pipeline + \"Dossier_Thomas_Lou\" + \"/\" + \"csv_sequences_pour_notebook\" + \"/\" + \"sequences_\" + target + \"_match_\" + game + \".csv?test=test2\"","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, flat_filtre, 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":"$W37","stdlib":"1","titling":"auto"}