{"type":"user_prompt","text":"Prompt — Major upgrade visuel de Vrai Prix\n\nFais un major upgrade complet du front-end de Vrai Prix.\n\nLe produit a déjà une identité forte : noir, blanc cassé, rouge, typographie éditoriale, approche data/transparence. Je veux conserver cet ADN, mais amener l’interface à un niveau beaucoup plus premium, crédible, distinctif et impressionnant.\n\nLe problème actuel : plusieurs sections sont encore trop boxy, trop empilées, trop “dashboard généré par IA”, avec beaucoup de rectangles, bordures épaisses et composants qui ont le même poids visuel.\n\nJe veux que Vrai Prix ressemble davantage à un mélange de :\n\nBloomberg × Financial Times data × Apple × outil immobilier institutionnel québécois\n\net beaucoup moins à une landing page SaaS.\n\nPriorités absolues\n\n* Réduire fortement les boxes, bordures et cartes inutiles.\n* Donner beaucoup plus de place à la typographie, aux données et aux graphiques.\n* Créer une vraie hiérarchie visuelle entre estimation, marché, ventes réelles et méthodologie.\n* Rendre l’expérience mobile iPhone exceptionnelle.\n* Conserver toute la logique, les données et les fonctionnalités existantes.\n* Ne pas faire un simple polish CSS : recomposer réellement les écrans.\n\nHero\n\nLe hero doit devenir beaucoup plus spectaculaire.\n\nConserver :\n\nLA VRAIE VALEUR. SANS BOÎTE NOIRE.\n\nMais faire de ce message une vraie signature visuelle.\n\nL’adresse à rechercher doit être l’action centrale de la page. La recherche ne doit pas ressembler à un champ enfermé dans une grosse card.\n\nCréer quelque chose de beaucoup plus direct :\n\nEntrez une adresse au Québec\n\navec autocomplétion, recherche très visible et CTA clair.\n\nLes compteurs :\n\n* 3,7 M propriétés\n* 745 119 ventes réelles\n\ndoivent être intégrés dans la composition comme des preuves de profondeur de données, pas comme deux pills génériques.\n\nRésultat d’estimation\n\nC’est l’écran le plus important du produit.\n\nQuand une propriété est recherchée, créer une vraie expérience “rapport de valeur” :\n\n* estimation principale extrêmement visible;\n* intervalle de confiance;\n* rôle municipal;\n* dernières transactions comparables;\n* évolution historique;\n* caractéristiques de la propriété;\n* méthodologie;\n* niveau de confiance;\n* sources utilisées.\n\nL’utilisateur doit avoir l’impression de consulter un terminal immobilier transparent, pas une simple fiche.\n\nGraphiques\n\nRepenser complètement les graphiques actuels.\n\nMaison / Condo / Plex ne doivent pas être trois grosses cartes identiques.\n\nCréer une section marché plus éditoriale et dense :\n\n* courbes plus raffinées;\n* comparaison entre catégories;\n* variation 12 mois;\n* variation depuis 2021;\n* valeur actuelle;\n* possibilité de changer région/période;\n* micro-interactions au toucher.\n\nLes graphiques doivent être de vrais éléments premium de data visualization.\n\nVentes réelles\n\nLa section Dernières ventes réelles captées doit devenir beaucoup plus intéressante.\n\nÉviter le tableau HTML classique.\n\nSur mobile, afficher les ventes comme un flux compact :\n\n5 295 000 $\n1075, chemin Sainte-Foy\n14 août · Québec\n−61 % vs rôle\n→ Voir l’estimation\n\nDonner immédiatement priorité au prix et à l’adresse.\n\nAjouter si disponible :\n\n* type de propriété;\n* rôle;\n* écart vente/rôle;\n* date;\n* localisation;\n* comparable potentiel.\n\nMéthodologie\n\nLa promesse “sans boîte noire” doit devenir un élément central du design.\n\nCréer une section claire :\n\nVoici exactement comment le prix est calculé\n\navec étapes visuelles très simples :\n\n1. propriété identifiée;\n2. rôle d’évaluation récupéré;\n3. ventes comparables sélectionnées;\n4. caractéristiques ajustées;\n5. estimation calculée;\n6. intervalle de confiance produit.\n\nÉviter les grosses cards numérotées actuelles. Utiliser davantage une timeline, lignes, typographie et visualisation du calcul.\n\nDirection artistique\n\nVrai Prix doit rester :\n\n* noir profond;\n* off-white;\n* rouge signal;\n* typographie condensée / éditoriale;\n* labels monospace;\n* données très présentes.\n\nMais ajouter plus de sophistication :\n\n* grands chiffres;\n* whitespace;\n* lignes fines;\n* compositions asymétriques;\n* sections pleine largeur;\n* graphiques intégrés;\n* moins de border-radius;\n* moins d’ombres;\n* moins de composants “card”.\n\nLe rouge doit servir à attirer le regard sur les informations importantes, pas remplir l’interface.\n\nNavigation\n\nRendre le header plus compact et premium.\n\nLe menu, KA ID et changement de langue doivent être mieux intégrés et moins ressembler à trois gros boutons indépendants.\n\nLe bouton flottant KA peut rester, mais il doit mieux s’intégrer au système visuel.\n\nMobile\n\nPriorité absolue : iPhone.\n\nÀ 390–430 px :\n\n* aucune sensation d’empilement de cards;\n* pas de composants surdimensionnés;\n* recherche immédiatement accessible;\n* données lisibles en un coup d’œil;\n* graphiques adaptés au toucher;\n* navigation fluide;\n* sections plus courtes et mieux rythmées.\n\nRègle de design\n\nPour chaque composant, demande-toi :\n\nEst-ce que ce composant pourrait apparaître exactement comme ça dans 500 interfaces générées par Claude, v0 ou Lovable ?\n\nSi oui, redesign-le.\n\nJe veux que Vrai Prix devienne visuellement le produit le plus sérieux et le plus impressionnant de l’écosystème KA : un véritable terminal public de valeur immobilière québécoise, transparent, data-driven et immédiatement reconnaissable.","ts":1787691684623}
{"type":"status","state":"running"}
{"type":"claude","event":{"type":"system","subtype":"init","cwd":"/Users/simon-pierreboucher/apps/vrai-prix","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","tools":["Task","Bash","CronCreate","CronDelete","CronList","DesignSync","Edit","EnterWorktree","ExitWorktree","Monitor","NotebookEdit","PushNotification","Read","ReportFindings","ScheduleWakeup","SendMessage","Skill","TaskCreate","TaskGet","TaskList","TaskOutput","TaskStop","TaskUpdate","ToolSearch","WebFetch","WebSearch","Workflow","Write"],"mcp_servers":[{"name":"maclustr-cluster","status":"pending"},{"name":"drive","status":"pending"}],"model":"claude-fable-5","permissionMode":"bypassPermissions","slash_commands":["cluster","cluster-compute","cluster-deploy","cluster-deploy-app","cluster-run","cluster-status","deep-research","design-sync","dataviz","update-config","verify","debug","code-review","simplify","batch","fewer-permission-prompts","loop","claude-api","run","run-skill-generator","agents","clear","compact","config","context","heapdump","init","__remote-workflow","reload-skills","review","security-review","usage","insights","recap","goal","design","design-consent","design-revoke","team-onboarding"],"apiKeySource":"ANTHROPIC_API_KEY","claude_code_version":"2.1.204","output_style":"default","agents":["claude","Explore","general-purpose","Plan","statusline-setup"],"skills":["deep-research","design-sync","dataviz","update-config","verify","debug","code-review","simplify","batch","fewer-permission-prompts","loop","claude-api","run","run-skill-generator"],"plugins":[],"analytics_disabled":false,"product_feedback_disabled":false,"uuid":"87ee3da2-6836-4b2d-952e-ae1433655b3b","memory_paths":{"auto":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-vrai-prix/memory/"},"fast_mode_state":"off"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a99beaa5-a385-41c0-bd72-630a82bd2d76","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"8968fb3e-8796-4350-b06d-0d95c48e9b40","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":149,"estimated_tokens_delta":49,"uuid":"9905c31c-d045-48b6-9844-b74203e26e2d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ99MC5hYmqgEvbHiUzR","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3157,"cache_creation_input_tokens":17441,"cache_read_input_tokens":15199,"cache_creation":{"ephemeral_5m_input_tokens":17441,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8537ec77-c4d2-4aa0-a9cb-71498c94424c","request_id":"req_011CeQ99Kjme7xWjdiXYvjoR"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ99MC5hYmqgEvbHiUzR","type":"message","role":"assistant","content":[{"type":"text","text":"Je démarre ce major upgrade. Première étape : comprendre l'état actuel du front-end (structure, pages, styles, graphiques) avant de recomposer les écrans."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3157,"cache_creation_input_tokens":17441,"cache_read_input_tokens":15199,"cache_creation":{"ephemeral_5m_input_tokens":17441,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bc3a354d-9eef-410f-b404-ed1d65e7845f","request_id":"req_011CeQ99Kjme7xWjdiXYvjoR"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ99MC5hYmqgEvbHiUzR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EnPz6f2Nx24eBg81W21Tvw","name":"Bash","input":{"command":"ls /Users/simon-pierreboucher/apps/vrai-prix && cat /Users/simon-pierreboucher/apps/vrai-prix/package.json","description":"List repo root and show package.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3157,"cache_creation_input_tokens":17441,"cache_read_input_tokens":15199,"cache_creation":{"ephemeral_5m_input_tokens":17441,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"da84b97a-0e4b-40e2-88cf-02291367e0ea","request_id":"req_011CeQ99Kjme7xWjdiXYvjoR"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EnPz6f2Nx24eBg81W21Tvw","type":"tool_result","content":"AGENTS.md\nCLAUDE.md\nREADME.md\nassets\ndata\ndocs\neslint.config.mjs\nios\nnext-env.d.ts\nnext.config.ts\nnode_modules\npackage-lock.json\npackage.json\npostcss.config.mjs\npublic\nscripts\nsrc\ntsconfig.json\ntsconfig.tsbuildinfo\nvitest.config.ts\n{\n  \"name\": \"vrai-prix\",\n  \"version\": \"0.1.0\",\n  \"private\": true,\n  \"scripts\": {\n    \"dev\": \"next dev\",\n    \"build\": \"next build\",\n    \"start\": \"next start\",\n    \"lint\": \"eslint\",\n    \"test\": \"vitest run\"\n  },\n  \"dependencies\": {\n    \"@anthropic-ai/sdk\": \"^0.116.0\",\n    \"@groupe-ka/ka-maps\": \"file:../../ka-maps/groupe-ka-ka-maps-0.1.0.tgz\",\n    \"better-sqlite3\": \"^13.0.3\",\n    \"mapbox-gl\": \"^3.28.1\",\n    \"next\": \"16.3.0\",\n    \"pdfkit\": \"^0.19.1\",\n    \"react\": \"19.2.8\",\n    \"react-dom\": \"19.2.8\"\n  },\n  \"devDependencies\": {\n    \"@tailwindcss/postcss\": \"^4\",\n    \"@types/better-sqlite3\": \"^9.6.0\",\n    \"@types/node\": \"^20\",\n    \"@types/pdfkit\": \"^0.17.6\",\n    \"@types/react\": \"^19\",\n    \"@types/react-dom\": \"^19\",\n    \"eslint\": \"^9\",\n    \"eslint-config-next\": \"16.3.0\",\n    \"playwright\": \"^1.62.1\",\n    \"tailwindcss\": \"^4\",\n    \"typescript\": \"^5\",\n    \"vitest\": \"^4.1.10\"\n  }\n}","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"dab612f8-f9ed-47fb-9aed-f0ea92eced1e","timestamp":"2026-08-25T21:01:32.625Z","tool_use_result":{"stdout":"AGENTS.md\nCLAUDE.md\nREADME.md\nassets\ndata\ndocs\neslint.config.mjs\nios\nnext-env.d.ts\nnext.config.ts\nnode_modules\npackage-lock.json\npackage.json\npostcss.config.mjs\npublic\nscripts\nsrc\ntsconfig.json\ntsconfig.tsbuildinfo\nvitest.config.ts\n{\n  \"name\": \"vrai-prix\",\n  \"version\": \"0.1.0\",\n  \"private\": true,\n  \"scripts\": {\n    \"dev\": \"next dev\",\n    \"build\": \"next build\",\n    \"start\": \"next start\",\n    \"lint\": \"eslint\",\n    \"test\": \"vitest run\"\n  },\n  \"dependencies\": {\n    \"@anthropic-ai/sdk\": \"^0.116.0\",\n    \"@groupe-ka/ka-maps\": \"file:../../ka-maps/groupe-ka-ka-maps-0.1.0.tgz\",\n    \"better-sqlite3\": \"^13.0.3\",\n    \"mapbox-gl\": \"^3.28.1\",\n    \"next\": \"16.3.0\",\n    \"pdfkit\": \"^0.19.1\",\n    \"react\": \"19.2.8\",\n    \"react-dom\": \"19.2.8\"\n  },\n  \"devDependencies\": {\n    \"@tailwindcss/postcss\": \"^4\",\n    \"@types/better-sqlite3\": \"^9.6.0\",\n    \"@types/node\": \"^20\",\n    \"@types/pdfkit\": \"^0.17.6\",\n    \"@types/react\": \"^19\",\n    \"@types/react-dom\": \"^19\",\n    \"eslint\": \"^9\",\n    \"eslint-config-next\": \"16.3.0\",\n    \"playwright\": \"^1.62.1\",\n    \"tailwindcss\": \"^4\",\n    \"typescript\": \"^5\",\n    \"vitest\": \"^4.1.10\"\n  }\n}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ99MC5hYmqgEvbHiUzR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014gLA2xZSGVE7CdLs9WaxPy","name":"Bash","input":{"command":"find /Users/simon-pierreboucher/apps/vrai-prix -maxdepth 3 -type d \\( -name node_modules -o -name .next -o -name .git \\) -prune -o -type f \\( -name \"*.tsx\" -o -name \"*.ts\" -o -name \"*.css\" -o -name \"*.jsx\" -o -name \"*.js\" -o -name \"*.html\" \\) -print | head -100","description":"List source files in vrai-prix"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3157,"cache_creation_input_tokens":17441,"cache_read_input_tokens":15199,"cache_creation":{"ephemeral_5m_input_tokens":17441,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7fa2782c-3cf9-4380-9321-60722c03cca5","request_id":"req_011CeQ99Kjme7xWjdiXYvjoR"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014gLA2xZSGVE7CdLs9WaxPy","type":"tool_result","content":"/Users/simon-pierreboucher/apps/vrai-prix/next-env.d.ts\n/Users/simon-pierreboucher/apps/vrai-prix/vitest.config.ts\n/Users/simon-pierreboucher/apps/vrai-prix/next.config.ts\n/Users/simon-pierreboucher/apps/vrai-prix/public/ka-agent.js\n/Users/simon-pierreboucher/apps/vrai-prix/public/doc/index.html\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/robots.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/sitemap.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaCarte.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/EstimateForm.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/RadarMap.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/FavButton.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/FooterNav.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/LegalPage.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/hubfav.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/municipalites.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/ka-auth.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/estimator.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/i18n.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/engine.test.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/stats-dashboard.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/engine.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report-stats.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/kamaps.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/seo.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report-portfolio.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report-pro.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/hub-profile.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/db.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/tokens.css\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/KaFooter.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/GroupeKaBadge.tsx","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1993a241-3df3-404d-87d4-1aa51ac37da1","timestamp":"2026-08-25T21:01:34.129Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/vrai-prix/next-env.d.ts\n/Users/simon-pierreboucher/apps/vrai-prix/vitest.config.ts\n/Users/simon-pierreboucher/apps/vrai-prix/next.config.ts\n/Users/simon-pierreboucher/apps/vrai-prix/public/ka-agent.js\n/Users/simon-pierreboucher/apps/vrai-prix/public/doc/index.html\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/robots.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/sitemap.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaCarte.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/EstimateForm.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/RadarMap.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/FavButton.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/FooterNav.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/LegalPage.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/hubfav.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/municipalites.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/ka-auth.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/estimator.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/i18n.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/engine.test.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/stats-dashboard.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/engine.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report-stats.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/kamaps.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/seo.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report-portfolio.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/report-pro.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/hub-profile.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/lib/db.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/tokens.css\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/KaFooter.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/GroupeKaBadge.tsx","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"234c5d1f-3558-44ea-9023-b061ccc87345","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9A2ANWdayZnuoe6t9f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016EYqPmmQNUVagoMCZ5LW9o","name":"Bash","input":{"command":"find /Users/simon-pierreboucher/apps/vrai-prix/src/app -type f | head -60; echo ---; wc -l /Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx /Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css /Users/simon-pierreboucher/apps/vrai-prix/src/components/*.tsx","description":"List app dir and count lines of key files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6048,"cache_read_input_tokens":32640,"cache_creation":{"ephemeral_5m_input_tokens":6048,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ad4f7c0b-cdfb-45d3-8c76-cc326c887253","request_id":"req_011CeQ99ziJZLgkYkpuZ9mqt"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016EYqPmmQNUVagoMCZ5LW9o","type":"tool_result","content":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/robots.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/sitemap.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/confidentialite/ConfidentialiteClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/confidentialite/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/carte/CartePage.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/carte/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/contact/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/favoris/FavorisClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/favoris/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/parc/ParcClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/parc/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/estimation/sitemap.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/conditions/ConditionsClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/conditions/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/sitemap-index.xml/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/compte/CompteClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/compte/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/municipalites/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/stats/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/estimation/[id]/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/estimation/manuelle/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/favorites/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/nearby/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/search/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/lead/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/portfolio/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/ka/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/estimate/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/municipalite/[slug]/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/logout/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/me/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/favorites/toggle/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/pro/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/portfolio/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/stats/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/catalog/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/dashboard/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/report/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/municipalite/[slug]/[type]/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/report/custom/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/ka/callback/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/ka/login/route.ts\n---\n     302 /Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx\n     316 /Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css\n      81 /Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx\n     241 /Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx\n     105 /Users/simon-pierreboucher/apps/vrai-prix/src/components/EstimateForm.tsx\n     148 /Users/simon-pierreboucher/apps/vrai-prix/src/components/FavButton.tsx\n      47 /Users/simon-pierreboucher/apps/vrai-prix/src/components/FooterNav.tsx\n     160 /Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx\n     107 /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaCarte.tsx\n     427 /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx\n      46 /Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx\n      56 /Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx\n      78 /Users/simon-pierreboucher/apps/vrai-prix/src/components/LegalPage.tsx\n     783 /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx\n     252 /Users/simon-pierreboucher/apps/vrai-prix/src/components/RadarMap.tsx\n     593 /Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx\n      95 /Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx\n     180 /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx\n     111 /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx\n    4128 total","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d4745a4b-acf0-463d-8a3c-0cb1ed1ebfd5","timestamp":"2026-08-25T21:01:38.748Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/robots.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/sitemap.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/confidentialite/ConfidentialiteClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/confidentialite/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/carte/CartePage.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/carte/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/contact/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/favoris/FavorisClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/favoris/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/parc/ParcClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/parc/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/estimation/sitemap.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/conditions/ConditionsClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/conditions/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/sitemap-index.xml/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/compte/CompteClient.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/compte/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/municipalites/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/stats/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/estimation/[id]/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/estimation/manuelle/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/favorites/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/nearby/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/search/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/lead/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/portfolio/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/ka/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/estimate/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/municipalite/[slug]/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/logout/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/me/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/favorites/toggle/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/pro/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/portfolio/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/report/stats/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/catalog/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/dashboard/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/report/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/municipalite/[slug]/[type]/page.tsx\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/stats/report/custom/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/ka/callback/route.ts\n/Users/simon-pierreboucher/apps/vrai-prix/src/app/api/auth/ka/login/route.ts\n---\n     302 /Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx\n     316 /Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css\n      81 /Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx\n     241 /Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx\n     105 /Users/simon-pierreboucher/apps/vrai-prix/src/components/EstimateForm.tsx\n     148 /Users/simon-pierreboucher/apps/vrai-prix/src/components/FavButton.tsx\n      47 /Users/simon-pierreboucher/apps/vrai-prix/src/components/FooterNav.tsx\n     160 /Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx\n     107 /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaCarte.tsx\n     427 /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx\n      46 /Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx\n      56 /Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx\n      78 /Users/simon-pierreboucher/apps/vrai-prix/src/components/LegalPage.tsx\n     783 /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx\n     252 /Users/simon-pierreboucher/apps/vrai-prix/src/components/RadarMap.tsx\n     593 /Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx\n      95 /Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx\n     180 /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx\n     111 /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx\n    4128 total","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b2720bbf-88de-4afb-aebd-4e59a63ea450","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9AMnpV1qrmaKt2dapv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XNbkABPdrAhu5EqCm2QfeQ","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3085,"cache_read_input_tokens":38688,"cache_creation":{"ephemeral_5m_input_tokens":3085,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"80c564dd-c8db-4047-9a03-7f1721d95d15","request_id":"req_011CeQ9ALSi16wRe69TeWGeD"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XNbkABPdrAhu5EqCm2QfeQ","type":"tool_result","content":"1\t/* -----------------------------------------------------------------------------\n2\t  Vrai-Prix — estimation immobilière transparente (Québec)\n3\t  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t  Système de design « éditorial sharp » — identité ROUGE distincte de Lou-Ka :\n5\t    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n6\t    · Signature : bordures encre + ombres décalées (néo-brutalisme raffiné)\n7\t    · Accent rouge vif #ff5148 + bordeaux #9e2a25 sur encre\n8\t----------------------------------------------------------------------------- */\n9\t@import \"tailwindcss\";\n10\t/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n11\t   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n12\t   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n13\t   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n14\t   des titres (règles éléments non-layered > utilitaires layered). */\n15\t@import \"../ka/tokens.css\" layer(base);\n16\t\n17\t:root {\n18\t  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n19\t  --accent: #ff5148;\n20\t  --accent-soft: #ffe3e0;\n21\t  --accent-deep: #9e2a25;\n22\t  --on-accent: #ffffff;\n23\t\n24\t  --paper: #f5f3ee;\n25\t  --surface: #ffffff;\n26\t  --surface-2: #faf9f5;\n27\t  --ink: #141814;\n28\t  --ink-2: #4d5551;\n29\t  --ink-3: #8b928c;\n30\t  --line: rgba(20, 24, 20, 0.14);\n31\t  --line-strong: rgba(20, 24, 20, 0.85);\n32\t  --green: #9e2a25;\n33\t  --green-deep: #771f1b;\n34\t  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n35\t  --lime-soft: var(--accent-soft);\n36\t  --amber: #e8a33d;\n37\t  --amber-soft: #fdf3e2;\n38\t  --danger: #b3423a;\n39\t  --danger-soft: #fbe9e7;\n40\t  --r-card: 10px;\n41\t  --r-ctl: 6px;\n42\t  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n43\t  --shadow-off: 6px 6px 0 var(--ink);\n44\t  --shadow-off-soft: 8px 8px 0 rgba(20, 24, 20, 0.08);\n45\t}\n46\t\n47\t@theme inline {\n48\t  --color-paper: var(--paper);\n49\t  --color-surface: var(--surface);\n50\t  --color-surface-2: var(--surface-2);\n51\t  --color-ink: var(--ink);\n52\t  --color-ink-2: var(--ink-2);\n53\t  --color-ink-3: var(--ink-3);\n54\t  --color-green: var(--green);\n55\t  --color-green-deep: var(--green-deep);\n56\t  --color-lime: var(--lime);\n57\t  --color-lime-soft: var(--lime-soft);\n58\t  --color-amber: var(--amber);\n59\t  --color-amber-soft: var(--amber-soft);\n60\t  --color-danger: var(--danger);\n61\t  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n62\t  --font-body: var(--font-inter), system-ui, sans-serif;\n63\t  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n64\t}\n65\t\n66\t/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n67\t   design local dimensionne les siens via utilitaires → on rétablit le\n68\t   comportement preflight (même layer, source postérieure = prioritaire). */\n69\t@layer base {\n70\t  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n71\t}\n72\t\n73\thtml { scroll-behavior: smooth; }\n74\tbody {\n75\t  background: var(--paper);\n76\t  color: var(--ink);\n77\t  font-family: var(--font-inter), system-ui, sans-serif;\n78\t  font-size: 15px;\n79\t  line-height: 1.55;\n80\t  -webkit-font-smoothing: antialiased;\n81\t  padding-bottom: env(safe-area-inset-bottom);\n82\t}\n83\t/* grain subtil — texture signature */\n84\tbody::before {\n85\t  content: \"\";\n86\t  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.35;\n87\t  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n88\t}\n89\t/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n90\t   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n91\t   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\n92\tbody > * { position: relative; }\n93\t\n94\th1, h2, h3, h4 {\n95\t  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n96\t  letter-spacing: -0.03em;\n97\t}\n98\t::selection { background: var(--lime); color: var(--ink); }\n99\t\n100\t/* ---------- primitives signature ---------- */\n101\t.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n102\t.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n103\t\n104\t.kicker {\n105\t  font-family: var(--font-jetbrains), ui-monospace, monospace;\n106\t  font-size: 11.5px; font-weight: 500; text-transform: uppercase;\n107\t  letter-spacing: 0.14em; color: var(--green);\n108\t  display: inline-flex; align-items: center; gap: 8px;\n109\t}\n110\t.kicker::before { content: \"\"; width: 22px; height: 2px; background: var(--green); }\n111\t\n112\t.klabel {\n113\t  font-family: var(--font-jetbrains), ui-monospace, monospace;\n114\t  font-size: 10px; text-transform: uppercase; letter-spacing: 0.1em;\n115\t  color: var(--ink-3); font-weight: 700;\n116\t}\n117\t\n118\t.vp-card {\n119\t  background: var(--surface);\n120\t  border: 1.5px solid var(--ink);\n121\t  border-radius: var(--r-card);\n122\t  box-shadow: var(--shadow-off-soft);\n123\t}\n124\t.vp-card-hover { transition: transform 0.16s ease, box-shadow 0.16s ease; }\n125\t.vp-card-hover:hover { transform: translate(-3px, -3px); box-shadow: var(--shadow-off); }\n126\t\n127\t.vp-input {\n128\t  border: 1.5px solid var(--line); background: var(--surface-2);\n129\t  border-radius: var(--r-ctl); padding: 11px 12px; font-size: 15px;\n130\t  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n131\t  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n132\t  appearance: none; -webkit-appearance: none;\n133\t}\n134\t.vp-input:focus { border-color: var(--ink); box-shadow: 3px 3px 0 var(--lime); }\n135\tselect.vp-input {\n136\t  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n137\t  background-repeat: no-repeat; background-position: right 12px center; padding-right: 30px;\n138\t}\n139\t@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n140\t\n141\t.btn {\n142\t  border: 1.5px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 20px;\n143\t  font-weight: 700; font-size: 14px; cursor: pointer; min-height: 44px;\n144\t  transition: transform 0.12s ease, box-shadow 0.12s ease, background 0.15s ease;\n145\t  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.01em;\n146\t  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n147\t}\n148\t.btn:active { transform: translate(2px, 2px); box-shadow: none !important; }\n149\t.btn-primary { background: var(--ink); color: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.25); }\n150\t.btn-primary:hover { background: var(--green-deep); }\n151\t.btn-ghost { background: transparent; color: var(--ink); border-color: var(--ink); }\n152\t.btn-ghost:hover { background: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.2); }\n153\t\n154\t.stat-chip {\n155\t  background: var(--surface); border: 1.5px solid var(--ink); border-radius: 999px;\n156\t  padding: 8px 16px; font-family: var(--font-jetbrains), ui-monospace, monospace;\n157\t  font-size: 12px; color: var(--ink-2); display: inline-flex; gap: 8px; align-items: center;\n158\t  box-shadow: 3px 3px 0 rgba(20, 24, 20, 0.12); white-space: nowrap;\n159\t}\n160\t.stat-chip b { color: var(--ink); font-weight: 700; }\n161\t.stat-chip .pulse {\n162\t  width: 8px; height: 8px; border-radius: 50%; background: var(--green);\n163\t  box-shadow: 0 0 0 4px var(--lime-soft); animation: pulse 2.4s ease infinite;\n164\t}\n165\t@keyframes pulse { 50% { box-shadow: 0 0 0 7px rgba(255, 81, 72, 0.4); } }\n166\t\n167\t.hl {\n168\t  background: var(--lime); padding: 0 10px; border-radius: 8px; display: inline-block;\n169\t  transform: rotate(-1deg);\n170\t}\n171\t.outline-txt { color: transparent; -webkit-text-stroke: 2px var(--ink); }\n172\t\n173\t/* ticker */\n174\t.ticker {\n175\t  background: var(--ink); color: var(--lime); overflow: hidden;\n176\t  font-family: var(--font-jetbrains), ui-monospace, monospace;\n177\t  font-size: 11.5px; letter-spacing: 0.1em; text-transform: uppercase;\n178\t  padding: 7px 0; white-space: nowrap;\n179\t  border-bottom: 1px solid rgba(255, 81, 72, 0.25);\n180\t}\n181\t.ticker-track { display: inline-flex; animation: ticker 44s linear infinite; will-change: transform; }\n182\t.ticker span { padding: 0 26px; position: relative; }\n183\t.ticker span::after { content: \"◆\"; position: absolute; right: -6px; opacity: 0.5; font-size: 8px; top: 3px; }\n184\t@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n185\t@media (prefers-reduced-motion: reduce) {\n186\t  .ticker-track { animation: none; }\n187\t  * { transition-duration: 0.01ms !important; }\n188\t}\n189\t\n190\t/* kv cells (fiche) */\n191\t.kv-cell {\n192\t  background: var(--surface-2); border: 1.5px solid var(--line);\n193\t  border-radius: var(--r-ctl); padding: 10px 13px;\n194\t}\n195\t.kv-cell .k {\n196\t  font-family: var(--font-jetbrains), ui-monospace, monospace;\n197\t  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n198\t  color: var(--ink-3); font-weight: 700;\n199\t}\n200\t.kv-cell .v {\n201\t  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n202\t  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n203\t}\n204\t\n205\t/* pills */\n206\t.pill {\n207\t  display: inline-block; border-radius: 4px; padding: 3px 10px;\n208\t  font-family: var(--font-jetbrains), ui-monospace, monospace;\n209\t  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n210\t}\n211\t.pill-conf-A { background: var(--lime); color: var(--ink); border: 1px solid var(--ink); }\n212\t.pill-conf-B { background: var(--lime-soft); color: var(--green-deep); border: 1px solid var(--green); }\n213\t.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n214\t.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n215\t\n216\t/* tableau éditorial */\n217\t.src-wrap {\n218\t  overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card);\n219\t  box-shadow: var(--shadow-off-soft); background: var(--surface);\n220\t}\n221\t.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n222\t.src-table th {\n223\t  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n224\t  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n225\t  padding: 12px 14px; border-bottom: 1.5px solid var(--ink); background: var(--surface-2);\n226\t  white-space: nowrap;\n227\t}\n228\t.src-table td { padding: 11px 14px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n229\t.src-table tr:last-child td { border-bottom: none; }\n230\t.src-table tr:hover td { background: var(--surface-2); }\n231\t\n232\t/* animations de révélation */\n233\t@keyframes rise {\n234\t  from { opacity: 0; transform: translateY(12px); }\n235\t  to { opacity: 1; transform: none; }\n236\t}\n237\t.rise { animation: rise 0.55s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n238\t@keyframes growX { from { transform: scaleX(0); } }\n239\t.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n240\t@keyframes winPop { from { opacity: 0; } }\n241\t.vv-win { animation: winPop 0.4s ease both; }\n242\t@media (prefers-reduced-motion: reduce) {\n243\t  .rise, .grow-x, .vv-win { animation: none; }\n244\t}\n245\t\n246\t/* barres horizontales (historique) */\n247\t.hbar-track { background: var(--surface-2); border-radius: 0 4px 4px 0; height: 18px; overflow: hidden; }\n248\t.hbar-fill {\n249\t  display: block; height: 100%; background: var(--green); border-radius: 0 4px 4px 0;\n250\t  min-width: 2px; transition: background 0.12s ease;\n251\t}\n252\t.hbar-row:hover .hbar-fill { background: var(--ink); box-shadow: inset 0 0 0 2px var(--lime); }\n253\t\n254\t\n255\t/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n256\t.vpm-wrap {\n257\t  position: relative;\n258\t  height: 62vh;\n259\t  min-height: 420px;\n260\t  width: 100%;\n261\t  border: 1.5px solid var(--ink);\n262\t  border-radius: 16px;\n263\t  overflow: hidden;\n264\t  box-shadow: 6px 6px 0 rgba(20, 24, 20, 0.22);\n265\t  z-index: 0;\n266\t}\n267\t.vpm-wrap .ka-map {\n268\t  --ka-accent: var(--lime);\n269\t  --ka-on-accent: #ffffff;\n270\t  --ka-surface: var(--surface);\n271\t  --ka-ink: var(--ink);\n272\t  --ka-line: var(--ink);\n273\t  --ka-radius: 10px;\n274\t  --ka-shadow: 4px 4px 0 rgba(20, 24, 20, 0.2);\n275\t  --ka-font: var(--font-inter), system-ui, sans-serif;\n276\t  position: absolute;\n277\t  inset: 0;\n278\t}\n279\t.vpm-chip {\n280\t  position: absolute;\n281\t  bottom: 12px;\n282\t  left: 12px;\n283\t  z-index: 9;\n284\t  background: var(--surface);\n285\t  color: var(--ink);\n286\t  border: 1.5px solid var(--ink);\n287\t  border-radius: 999px;\n288\t  padding: 6px 12px;\n289\t  font-family: var(--font-jetbrains), monospace;\n290\t  font-size: 10.5px;\n291\t  text-transform: uppercase;\n292\t  letter-spacing: 0.06em;\n293\t}\n294\t.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n295\t.vpm-pop-value {\n296\t  font-family: var(--font-space-grotesk), sans-serif;\n297\t  font-weight: 700;\n298\t  font-size: 22px;\n299\t  letter-spacing: -0.02em;\n300\t  margin-top: 2px;\n301\t}\n302\t.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n303\t.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n304\t.vpm-pop-cta {\n305\t  display: inline-block;\n306\t  margin-top: 12px;\n307\t  padding: 9px 14px;\n308\t  background: var(--ink);\n309\t  color: var(--lime);\n310\t  border: 1.5px solid var(--ink);\n311\t  border-radius: 999px;\n312\t  font-size: 12.5px;\n313\t  font-weight: 600;\n314\t  cursor: pointer;\n315\t}\n316\t.vpm-pop-cta:active { transform: translate(2px, 2px); }\n317\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4f7182af-57c7-4f73-9ddb-6012551cbc20","timestamp":"2026-08-25T21:01:41.991Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","content":"/* -----------------------------------------------------------------------------\n  Vrai-Prix — estimation immobilière transparente (Québec)\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Système de design « éditorial sharp » — identité ROUGE distincte de Lou-Ka :\n    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Signature : bordures encre + ombres décalées (néo-brutalisme raffiné)\n    · Accent rouge vif #ff5148 + bordeaux #9e2a25 sur encre\n----------------------------------------------------------------------------- */\n@import \"tailwindcss\";\n/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n   des titres (règles éléments non-layered > utilitaires layered). */\n@import \"../ka/tokens.css\" layer(base);\n\n:root {\n  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n  --accent: #ff5148;\n  --accent-soft: #ffe3e0;\n  --accent-deep: #9e2a25;\n  --on-accent: #ffffff;\n\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #9e2a25;\n  --green-deep: #771f1b;\n  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n  --lime-soft: var(--accent-soft);\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n  --r-card: 10px;\n  --r-ctl: 6px;\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  --shadow-off: 6px 6px 0 var(--ink);\n  --shadow-off-soft: 8px 8px 0 rgba(20, 24, 20, 0.08);\n}\n\n@theme inline {\n  --color-paper: var(--paper);\n  --color-surface: var(--surface);\n  --color-surface-2: var(--surface-2);\n  --color-ink: var(--ink);\n  --color-ink-2: var(--ink-2);\n  --color-ink-3: var(--ink-3);\n  --color-green: var(--green);\n  --color-green-deep: var(--green-deep);\n  --color-lime: var(--lime);\n  --color-lime-soft: var(--lime-soft);\n  --color-amber: var(--amber);\n  --color-amber-soft: var(--amber-soft);\n  --color-danger: var(--danger);\n  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n  --font-body: var(--font-inter), system-ui, sans-serif;\n  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n}\n\n/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n   design local dimensionne les siens via utilitaires → on rétablit le\n   comportement preflight (même layer, source postérieure = prioritaire). */\n@layer base {\n  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n}\n\nhtml { scroll-behavior: smooth; }\nbody {\n  background: var(--paper);\n  color: var(--ink);\n  font-family: var(--font-inter), system-ui, sans-serif;\n  font-size: 15px;\n  line-height: 1.55;\n  -webkit-font-smoothing: antialiased;\n  padding-bottom: env(safe-area-inset-bottom);\n}\n/* grain subtil — texture signature */\nbody::before {\n  content: \"\";\n  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.35;\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n}\n/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\nbody > * { position: relative; }\n\nh1, h2, h3, h4 {\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n  letter-spacing: -0.03em;\n}\n::selection { background: var(--lime); color: var(--ink); }\n\n/* ---------- primitives signature ---------- */\n.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n\n.kicker {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11.5px; font-weight: 500; text-transform: uppercase;\n  letter-spacing: 0.14em; color: var(--green);\n  display: inline-flex; align-items: center; gap: 8px;\n}\n.kicker::before { content: \"\"; width: 22px; height: 2px; background: var(--green); }\n\n.klabel {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 700;\n}\n\n.vp-card {\n  background: var(--surface);\n  border: 1.5px solid var(--ink);\n  border-radius: var(--r-card);\n  box-shadow: var(--shadow-off-soft);\n}\n.vp-card-hover { transition: transform 0.16s ease, box-shadow 0.16s ease; }\n.vp-card-hover:hover { transform: translate(-3px, -3px); box-shadow: var(--shadow-off); }\n\n.vp-input {\n  border: 1.5px solid var(--line); background: var(--surface-2);\n  border-radius: var(--r-ctl); padding: 11px 12px; font-size: 15px;\n  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n  appearance: none; -webkit-appearance: none;\n}\n.vp-input:focus { border-color: var(--ink); box-shadow: 3px 3px 0 var(--lime); }\nselect.vp-input {\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n  background-repeat: no-repeat; background-position: right 12px center; padding-right: 30px;\n}\n@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n\n.btn {\n  border: 1.5px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 20px;\n  font-weight: 700; font-size: 14px; cursor: pointer; min-height: 44px;\n  transition: transform 0.12s ease, box-shadow 0.12s ease, background 0.15s ease;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.01em;\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n}\n.btn:active { transform: translate(2px, 2px); box-shadow: none !important; }\n.btn-primary { background: var(--ink); color: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.25); }\n.btn-primary:hover { background: var(--green-deep); }\n.btn-ghost { background: transparent; color: var(--ink); border-color: var(--ink); }\n.btn-ghost:hover { background: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.2); }\n\n.stat-chip {\n  background: var(--surface); border: 1.5px solid var(--ink); border-radius: 999px;\n  padding: 8px 16px; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 12px; color: var(--ink-2); display: inline-flex; gap: 8px; align-items: center;\n  box-shadow: 3px 3px 0 rgba(20, 24, 20, 0.12); white-space: nowrap;\n}\n.stat-chip b { color: var(--ink); font-weight: 700; }\n.stat-chip .pulse {\n  width: 8px; height: 8px; border-radius: 50%; background: var(--green);\n  box-shadow: 0 0 0 4px var(--lime-soft); animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 7px rgba(255, 81, 72, 0.4); } }\n\n.hl {\n  background: var(--lime); padding: 0 10px; border-radius: 8px; display: inline-block;\n  transform: rotate(-1deg);\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 2px var(--ink); }\n\n/* ticker */\n.ticker {\n  background: var(--ink); color: var(--lime); overflow: hidden;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11.5px; letter-spacing: 0.1em; text-transform: uppercase;\n  padding: 7px 0; white-space: nowrap;\n  border-bottom: 1px solid rgba(255, 81, 72, 0.25);\n}\n.ticker-track { display: inline-flex; animation: ticker 44s linear infinite; will-change: transform; }\n.ticker span { padding: 0 26px; position: relative; }\n.ticker span::after { content: \"◆\"; position: absolute; right: -6px; opacity: 0.5; font-size: 8px; top: 3px; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n  .ticker-track { animation: none; }\n  * { transition-duration: 0.01ms !important; }\n}\n\n/* kv cells (fiche) */\n.kv-cell {\n  background: var(--surface-2); border: 1.5px solid var(--line);\n  border-radius: var(--r-ctl); padding: 10px 13px;\n}\n.kv-cell .k {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 700;\n}\n.kv-cell .v {\n  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n}\n\n/* pills */\n.pill {\n  display: inline-block; border-radius: 4px; padding: 3px 10px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n}\n.pill-conf-A { background: var(--lime); color: var(--ink); border: 1px solid var(--ink); }\n.pill-conf-B { background: var(--lime-soft); color: var(--green-deep); border: 1px solid var(--green); }\n.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n\n/* tableau éditorial */\n.src-wrap {\n  overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card);\n  box-shadow: var(--shadow-off-soft); background: var(--surface);\n}\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n.src-table th {\n  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n  padding: 12px 14px; border-bottom: 1.5px solid var(--ink); background: var(--surface-2);\n  white-space: nowrap;\n}\n.src-table td { padding: 11px 14px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--surface-2); }\n\n/* animations de révélation */\n@keyframes rise {\n  from { opacity: 0; transform: translateY(12px); }\n  to { opacity: 1; transform: none; }\n}\n.rise { animation: rise 0.55s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes growX { from { transform: scaleX(0); } }\n.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes winPop { from { opacity: 0; } }\n.vv-win { animation: winPop 0.4s ease both; }\n@media (prefers-reduced-motion: reduce) {\n  .rise, .grow-x, .vv-win { animation: none; }\n}\n\n/* barres horizontales (historique) */\n.hbar-track { background: var(--surface-2); border-radius: 0 4px 4px 0; height: 18px; overflow: hidden; }\n.hbar-fill {\n  display: block; height: 100%; background: var(--green); border-radius: 0 4px 4px 0;\n  min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--ink); box-shadow: inset 0 0 0 2px var(--lime); }\n\n\n/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n.vpm-wrap {\n  position: relative;\n  height: 62vh;\n  min-height: 420px;\n  width: 100%;\n  border: 1.5px solid var(--ink);\n  border-radius: 16px;\n  overflow: hidden;\n  box-shadow: 6px 6px 0 rgba(20, 24, 20, 0.22);\n  z-index: 0;\n}\n.vpm-wrap .ka-map {\n  --ka-accent: var(--lime);\n  --ka-on-accent: #ffffff;\n  --ka-surface: var(--surface);\n  --ka-ink: var(--ink);\n  --ka-line: var(--ink);\n  --ka-radius: 10px;\n  --ka-shadow: 4px 4px 0 rgba(20, 24, 20, 0.2);\n  --ka-font: var(--font-inter), system-ui, sans-serif;\n  position: absolute;\n  inset: 0;\n}\n.vpm-chip {\n  position: absolute;\n  bottom: 12px;\n  left: 12px;\n  z-index: 9;\n  background: var(--surface);\n  color: var(--ink);\n  border: 1.5px solid var(--ink);\n  border-radius: 999px;\n  padding: 6px 12px;\n  font-family: var(--font-jetbrains), monospace;\n  font-size: 10.5px;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n}\n.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n.vpm-pop-value {\n  font-family: var(--font-space-grotesk), sans-serif;\n  font-weight: 700;\n  font-size: 22px;\n  letter-spacing: -0.02em;\n  margin-top: 2px;\n}\n.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n.vpm-pop-cta {\n  display: inline-block;\n  margin-top: 12px;\n  padding: 9px 14px;\n  background: var(--ink);\n  color: var(--lime);\n  border: 1.5px solid var(--ink);\n  border-radius: 999px;\n  font-size: 12.5px;\n  font-weight: 600;\n  cursor: pointer;\n}\n.vpm-pop-cta:active { transform: translate(2px, 2px); }\n","numLines":317,"startLine":1,"totalLines":317}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9AMnpV1qrmaKt2dapv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GzWdKpa93hhWi4dLz78bWt","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3085,"cache_read_input_tokens":38688,"cache_creation":{"ephemeral_5m_input_tokens":3085,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0d169125-0e70-4076-acdf-3f413c00f416","request_id":"req_011CeQ9ALSi16wRe69TeWGeD"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GzWdKpa93hhWi4dLz78bWt","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport Link from \"next/link\";\n4\timport SearchBox from \"@/components/SearchBox\";\n5\timport EstimateForm from \"@/components/EstimateForm\";\n6\timport { IndexSpark, locNum } from \"@/components/MetricViz\";\n7\timport { useLang } from \"@/components/LangContext\";\n8\t\n9\t/** Indice de marché d'un grand type — série + variations (calculé côté serveur). */\n10\texport interface PulseItem {\n11\t  type: \"unifamilial\" | \"condo\" | \"plex\";\n12\t  series: { month: string; idx: number }[];\n13\t  pct12m: number | null;\n14\t  since2021: number | null;\n15\t}\n16\t\n17\t/** Vente réelle récente appariée à une unité d'évaluation. */\n18\texport interface RecentSaleItem {\n19\t  id: string;\n20\t  date: string;\n21\t  amount: number;\n22\t  street: string | null;\n23\t  city: string | null;\n24\t  propertyType: string | null;\n25\t  idProvinc: string | null;\n26\t  vsRolePct: number | null;\n27\t}\n28\t\n29\tconst PULSE_LABELS: Record<PulseItem[\"type\"], { fr: string; en: string }> = {\n30\t  unifamilial: { fr: \"Unifamiliale\", en: \"Single-family\" },\n31\t  condo: { fr: \"Condo\", en: \"Condo\" },\n32\t  plex: { fr: \"Plex\", en: \"Plex\" },\n33\t};\n34\t\n35\tfunction TrendBadge({ pct, label }: { pct: number | null; label: string }) {\n36\t  if (pct == null) return null;\n37\t  return (\n38\t    <span\n39\t      className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${\n40\t        pct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"\n41\t      }`}\n42\t    >\n43\t      {label} {pct >= 0 ? \"+\" : \"\"}\n44\t      {pct.toFixed(1)} %\n45\t    </span>\n46\t  );\n47\t}\n48\t\n49\texport default function HomeClient({\n50\t  pulse,\n51\t  recent,\n52\t  salesLast30d,\n53\t}: {\n54\t  pulse: PulseItem[];\n55\t  recent: RecentSaleItem[];\n56\t  salesLast30d: number;\n57\t}) {\n58\t  const { lang, t } = useLang();\n59\t  const fr = lang === \"fr\";\n60\t  const money = (v: number) =>\n61\t    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n62\t      style: \"currency\",\n63\t      currency: \"CAD\",\n64\t      maximumFractionDigits: 0,\n65\t    }).format(v);\n66\t  const dateFmt = (d: string) =>\n67\t    new Date(`${d}T12:00:00`).toLocaleDateString(fr ? \"fr-CA\" : \"en-CA\", {\n68\t      day: \"numeric\",\n69\t      month: \"short\",\n70\t    });\n71\t\n72\t  return (\n73\t    <div className=\"pb-6 pt-10 sm:pt-14\">\n74\t      {/* ---- Héros ---- */}\n75\t      <section>\n76\t        <span className=\"kicker\">\n77\t          {lang === \"fr\" ? \"Québec · 2021-2026\" : \"Québec · 2021-2026\"}\n78\t        </span>\n79\t        <h1 className=\"vp-display mt-3 max-w-4xl text-[clamp(34px,6.4vw,72px)] font-bold uppercase leading-[0.98] tracking-[-0.035em]\">\n80\t          {lang === \"fr\" ? (\n81\t            <>\n82\t              La <span className=\"outline-txt\">vraie</span> valeur.\n83\t              <br />\n84\t              <span className=\"hl\">Sans boîte noire.</span>\n85\t            </>\n86\t          ) : (\n87\t            <>\n88\t              The <span className=\"outline-txt\">true</span> value.\n89\t              <br />\n90\t              <span className=\"hl\">No black box.</span>\n91\t            </>\n92\t          )}\n93\t        </h1>\n94\t        <p className=\"mt-5 max-w-xl text-[16.5px] text-ink-2\">{t(\"sub\")}</p>\n95\t\n96\t        <div className=\"mt-7 flex gap-2.5 overflow-x-auto pb-1.5 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden\">\n97\t          <span className=\"stat-chip\">\n98\t            <span className=\"pulse\" />\n99\t            <b>3 747 008</b> {lang === \"fr\" ? \"propriétés\" : \"properties\"}\n100\t          </span>\n101\t          <span className=\"stat-chip\">\n102\t            <b>745 119</b> {lang === \"fr\" ? \"ventes réelles\" : \"real sales\"}\n103\t          </span>\n104\t          <span className=\"stat-chip\">\n105\t            <b>{locNum(salesLast30d, lang, { maxFrac: 0 })}</b>{\" \"}\n106\t            {lang === \"fr\" ? \"ventes captées / 30 j\" : \"sales captured / 30 d\"}\n107\t          </span>\n108\t          <span className=\"stat-chip\">\n109\t            <b>1 100</b> {lang === \"fr\" ? \"municipalités\" : \"municipalities\"}\n110\t          </span>\n111\t          <span className=\"stat-chip\">\n112\t            MdAPE <b>11 %</b>\n113\t          </span>\n114\t        </div>\n115\t      </section>\n116\t\n117\t      {/* ---- Recherche ---- */}\n118\t      <section className=\"mt-9\">\n119\t        <div className=\"vp-card p-4 sm:p-5\">\n120\t          <p className=\"klabel mb-2 pl-0.5\">\n121\t            {lang === \"fr\" ? \"Adresse de la propriété\" : \"Property address\"}\n122\t          </p>\n123\t          <SearchBox />\n124\t        </div>\n125\t        <p className=\"vp-mono mt-2.5 pl-1 text-[11px] uppercase tracking-[0.06em] text-ink-3\">\n126\t          {t(\"dataNote\")}\n127\t        </p>\n128\t      </section>\n129\t\n130\t      {/* ---- Comment ça marche (bande compacte) ---- */}\n131\t      <section className=\"mt-10 grid gap-3 sm:grid-cols-3\">\n132\t        {(fr\n133\t          ? [\n134\t              [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],\n135\t              [\"02\", \"Le moteur croise deux sources\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],\n136\t              [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D, rapport PDF — le calcul montré en entier.\"],\n137\t            ]\n138\t          : [\n139\t              [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],\n140\t              [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],\n141\t              [\"03\", \"Range + confidence\", \"P10-P90, A-D index, PDF report — the full math, shown.\"],\n142\t            ]\n143\t        ).map(([num, title, body], i) => (\n144\t          <div key={num} className=\"flex items-start gap-3 rounded-[10px] border-[1.5px] border-dashed border-[rgba(20,24,20,0.3)] bg-surface-2 p-4\">\n145\t            <span className=\"vp-mono flex h-8 w-8 shrink-0 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[12px] font-bold text-lime\">\n146\t              {num}\n147\t            </span>\n148\t            <div>\n149\t              <p className=\"vp-display text-[14.5px] font-bold uppercase tracking-[-0.01em]\">\n150\t                {title}\n151\t                {i < 2 && <span className=\"ml-2 text-ink-3\">→</span>}\n152\t              </p>\n153\t              <p className=\"mt-1 text-[12.5px] leading-snug text-ink-2\">{body}</p>\n154\t            </div>\n155\t          </div>\n156\t        ))}\n157\t      </section>\n158\t\n159\t      {/* ---- Pouls du marché ---- */}\n160\t      <section className=\"mt-14\">\n161\t        <span className=\"kicker\">{fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}</span>\n162\t        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n163\t          {fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}\n164\t        </h2>\n165\t        <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">\n166\t          {fr\n167\t            ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Base 100 il y a 24 mois.\"\n168\t            : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Base 100 twenty-four months ago.\"}\n169\t        </p>\n170\t        <div className=\"mt-4 grid gap-4 sm:grid-cols-3\">\n171\t          {pulse.map((p) => (\n172\t            <div key={p.type} className=\"vp-card vp-card-hover p-5\">\n173\t              <div className=\"flex items-center justify-between gap-2\">\n174\t                <p className=\"vp-display text-[16px] font-bold uppercase tracking-[-0.01em]\">\n175\t                  {PULSE_LABELS[p.type][lang]}\n176\t                </p>\n177\t                <TrendBadge pct={p.pct12m} label={fr ? \"12 mois\" : \"12 mo\"} />\n178\t              </div>\n179\t              <div className=\"mt-3\">\n180\t                <IndexSpark series={p.series} />\n181\t              </div>\n182\t              {p.since2021 != null && (\n183\t                <p className=\"vp-mono mt-2 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n184\t                  {fr ? \"Depuis 2021\" : \"Since 2021\"} :{\" \"}\n185\t                  <b className=\"text-ink\">\n186\t                    {p.since2021 >= 0 ? \"+\" : \"\"}\n187\t                    {p.since2021.toFixed(0)} %\n188\t                  </b>\n189\t                </p>\n190\t              )}\n191\t            </div>\n192\t          ))}\n193\t        </div>\n194\t      </section>\n195\t\n196\t      {/* ---- Dernières ventes captées ---- */}\n197\t      {recent.length > 0 && (\n198\t        <section className=\"mt-14\">\n199\t          <span className=\"kicker\">\n200\t            <span className=\"pulse\" style={{ width: 8, height: 8 }} />\n201\t            {fr ? \"Flux en continu\" : \"Live feed\"}\n202\t          </span>\n203\t          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n204\t            {fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}\n205\t          </h2>\n206\t          <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">\n207\t            {fr\n208\t              ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Cliquez pour voir l'estimation complète de la propriété vendue.\"\n209\t              : \"Published transactions, automatically matched to their assessment unit. Click for the sold property's full estimate.\"}\n210\t          </p>\n211\t          <div className=\"src-wrap mt-4\">\n212\t            <table className=\"src-table\">\n213\t              <thead>\n214\t                <tr>\n215\t                  <th>{fr ? \"Date\" : \"Date\"}</th>\n216\t                  <th>{fr ? \"Propriété\" : \"Property\"}</th>\n217\t                  <th className=\"text-right\">{fr ? \"Prix de vente\" : \"Sale price\"}</th>\n218\t                  <th className=\"text-right\"></th>\n219\t                </tr>\n220\t              </thead>\n221\t              <tbody>\n222\t                {recent.map((s) => (\n223\t                  <tr key={s.id}>\n224\t                    <td className=\"vp-mono whitespace-nowrap text-[12px] font-bold uppercase\">\n225\t                      {dateFmt(s.date)}\n226\t                    </td>\n227\t                    <td>\n228\t                      <p className=\"font-semibold leading-tight\">\n229\t                        {s.street}\n230\t                        {s.city ? `, ${s.city}` : \"\"}\n231\t                      </p>\n232\t                      {s.propertyType && s.propertyType !== \"indéterminé\" && (\n233\t                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n234\t                          {s.propertyType}\n235\t                        </p>\n236\t                      )}\n237\t                    </td>\n238\t                    <td className=\"text-right\">\n239\t                      <span className=\"vp-display font-bold\">{money(s.amount)}</span>\n240\t                      {s.vsRolePct != null && Math.abs(s.vsRolePct) < 400 && (\n241\t                        <p className=\"vp-mono mt-0.5 text-[10px] text-ink-3\">\n242\t                          {s.vsRolePct >= 0 ? \"+\" : \"−\"}\n243\t                          {Math.abs(s.vsRolePct).toFixed(0)} %{\" \"}\n244\t                          {fr ? \"vs rôle\" : \"vs roll\"}\n245\t                        </p>\n246\t                      )}\n247\t                    </td>\n248\t                    <td className=\"text-right\">\n249\t                      {s.idProvinc && (\n250\t                        <Link\n251\t                          href={`/estimation/${encodeURIComponent(s.idProvinc)}`}\n252\t                          className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1.5 text-[11px] font-bold uppercase tracking-[0.04em] transition-colors hover:bg-lime\"\n253\t                        >\n254\t                          {fr ? \"Estimer\" : \"Estimate\"} →\n255\t                        </Link>\n256\t                      )}\n257\t                    </td>\n258\t                  </tr>\n259\t                ))}\n260\t              </tbody>\n261\t            </table>\n262\t          </div>\n263\t        </section>\n264\t      )}\n265\t\n266\t      {/* ---- Formulaire manuel ---- */}\n267\t      <section className=\"mt-14\">\n268\t        <span className=\"kicker\">{lang === \"fr\" ? \"Plan B\" : \"Plan B\"}</span>\n269\t        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n270\t          {t(\"manualTitle\")}\n271\t        </h2>\n272\t        <div className=\"vp-card mt-4 p-4 sm:p-6\">\n273\t          <EstimateForm />\n274\t        </div>\n275\t      </section>\n276\t\n277\t      {/* ---- Manifeste transparence ---- */}\n278\t      <section className=\"mt-14 grid gap-4 sm:grid-cols-3\">\n279\t        {(lang === \"fr\"\n280\t          ? [\n281\t              [\"01\", \"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],\n282\t              [\"02\", \"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],\n283\t              [\"03\", \"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],\n284\t            ]\n285\t          : [\n286\t              [\"01\", \"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],\n287\t              [\"02\", \"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],\n288\t              [\"03\", \"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],\n289\t            ]\n290\t        ).map(([num, title, body]) => (\n291\t          <div key={num} className=\"vp-card vp-card-hover p-5\">\n292\t            <p className=\"vp-mono text-[11px] font-bold text-green\">{num}</p>\n293\t            <h3 className=\"vp-display mt-1.5 text-[17px] font-bold uppercase tracking-[-0.01em]\">\n294\t              {title}\n295\t            </h3>\n296\t            <p className=\"mt-2 text-[13.5px] text-ink-2\">{body}</p>\n297\t          </div>\n298\t        ))}\n299\t      </section>\n300\t    </div>\n301\t  );\n302\t}\n303\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"acc6da0c-28f8-4ec2-96aa-8aeb80366134","timestamp":"2026-08-25T21:01:42.464Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport Link from \"next/link\";\nimport SearchBox from \"@/components/SearchBox\";\nimport EstimateForm from \"@/components/EstimateForm\";\nimport { IndexSpark, locNum } from \"@/components/MetricViz\";\nimport { useLang } from \"@/components/LangContext\";\n\n/** Indice de marché d'un grand type — série + variations (calculé côté serveur). */\nexport interface PulseItem {\n  type: \"unifamilial\" | \"condo\" | \"plex\";\n  series: { month: string; idx: number }[];\n  pct12m: number | null;\n  since2021: number | null;\n}\n\n/** Vente réelle récente appariée à une unité d'évaluation. */\nexport interface RecentSaleItem {\n  id: string;\n  date: string;\n  amount: number;\n  street: string | null;\n  city: string | null;\n  propertyType: string | null;\n  idProvinc: string | null;\n  vsRolePct: number | null;\n}\n\nconst PULSE_LABELS: Record<PulseItem[\"type\"], { fr: string; en: string }> = {\n  unifamilial: { fr: \"Unifamiliale\", en: \"Single-family\" },\n  condo: { fr: \"Condo\", en: \"Condo\" },\n  plex: { fr: \"Plex\", en: \"Plex\" },\n};\n\nfunction TrendBadge({ pct, label }: { pct: number | null; label: string }) {\n  if (pct == null) return null;\n  return (\n    <span\n      className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${\n        pct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"\n      }`}\n    >\n      {label} {pct >= 0 ? \"+\" : \"\"}\n      {pct.toFixed(1)} %\n    </span>\n  );\n}\n\nexport default function HomeClient({\n  pulse,\n  recent,\n  salesLast30d,\n}: {\n  pulse: PulseItem[];\n  recent: RecentSaleItem[];\n  salesLast30d: number;\n}) {\n  const { lang, t } = useLang();\n  const fr = lang === \"fr\";\n  const money = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(v);\n  const dateFmt = (d: string) =>\n    new Date(`${d}T12:00:00`).toLocaleDateString(fr ? \"fr-CA\" : \"en-CA\", {\n      day: \"numeric\",\n      month: \"short\",\n    });\n\n  return (\n    <div className=\"pb-6 pt-10 sm:pt-14\">\n      {/* ---- Héros ---- */}\n      <section>\n        <span className=\"kicker\">\n          {lang === \"fr\" ? \"Québec · 2021-2026\" : \"Québec · 2021-2026\"}\n        </span>\n        <h1 className=\"vp-display mt-3 max-w-4xl text-[clamp(34px,6.4vw,72px)] font-bold uppercase leading-[0.98] tracking-[-0.035em]\">\n          {lang === \"fr\" ? (\n            <>\n              La <span className=\"outline-txt\">vraie</span> valeur.\n              <br />\n              <span className=\"hl\">Sans boîte noire.</span>\n            </>\n          ) : (\n            <>\n              The <span className=\"outline-txt\">true</span> value.\n              <br />\n              <span className=\"hl\">No black box.</span>\n            </>\n          )}\n        </h1>\n        <p className=\"mt-5 max-w-xl text-[16.5px] text-ink-2\">{t(\"sub\")}</p>\n\n        <div className=\"mt-7 flex gap-2.5 overflow-x-auto pb-1.5 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden\">\n          <span className=\"stat-chip\">\n            <span className=\"pulse\" />\n            <b>3 747 008</b> {lang === \"fr\" ? \"propriétés\" : \"properties\"}\n          </span>\n          <span className=\"stat-chip\">\n            <b>745 119</b> {lang === \"fr\" ? \"ventes réelles\" : \"real sales\"}\n          </span>\n          <span className=\"stat-chip\">\n            <b>{locNum(salesLast30d, lang, { maxFrac: 0 })}</b>{\" \"}\n            {lang === \"fr\" ? \"ventes captées / 30 j\" : \"sales captured / 30 d\"}\n          </span>\n          <span className=\"stat-chip\">\n            <b>1 100</b> {lang === \"fr\" ? \"municipalités\" : \"municipalities\"}\n          </span>\n          <span className=\"stat-chip\">\n            MdAPE <b>11 %</b>\n          </span>\n        </div>\n      </section>\n\n      {/* ---- Recherche ---- */}\n      <section className=\"mt-9\">\n        <div className=\"vp-card p-4 sm:p-5\">\n          <p className=\"klabel mb-2 pl-0.5\">\n            {lang === \"fr\" ? \"Adresse de la propriété\" : \"Property address\"}\n          </p>\n          <SearchBox />\n        </div>\n        <p className=\"vp-mono mt-2.5 pl-1 text-[11px] uppercase tracking-[0.06em] text-ink-3\">\n          {t(\"dataNote\")}\n        </p>\n      </section>\n\n      {/* ---- Comment ça marche (bande compacte) ---- */}\n      <section className=\"mt-10 grid gap-3 sm:grid-cols-3\">\n        {(fr\n          ? [\n              [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],\n              [\"02\", \"Le moteur croise deux sources\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],\n              [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D, rapport PDF — le calcul montré en entier.\"],\n            ]\n          : [\n              [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],\n              [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],\n              [\"03\", \"Range + confidence\", \"P10-P90, A-D index, PDF report — the full math, shown.\"],\n            ]\n        ).map(([num, title, body], i) => (\n          <div key={num} className=\"flex items-start gap-3 rounded-[10px] border-[1.5px] border-dashed border-[rgba(20,24,20,0.3)] bg-surface-2 p-4\">\n            <span className=\"vp-mono flex h-8 w-8 shrink-0 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[12px] font-bold text-lime\">\n              {num}\n            </span>\n            <div>\n              <p className=\"vp-display text-[14.5px] font-bold uppercase tracking-[-0.01em]\">\n                {title}\n                {i < 2 && <span className=\"ml-2 text-ink-3\">→</span>}\n              </p>\n              <p className=\"mt-1 text-[12.5px] leading-snug text-ink-2\">{body}</p>\n            </div>\n          </div>\n        ))}\n      </section>\n\n      {/* ---- Pouls du marché ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">{fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}</span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}\n        </h2>\n        <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">\n          {fr\n            ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Base 100 il y a 24 mois.\"\n            : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Base 100 twenty-four months ago.\"}\n        </p>\n        <div className=\"mt-4 grid gap-4 sm:grid-cols-3\">\n          {pulse.map((p) => (\n            <div key={p.type} className=\"vp-card vp-card-hover p-5\">\n              <div className=\"flex items-center justify-between gap-2\">\n                <p className=\"vp-display text-[16px] font-bold uppercase tracking-[-0.01em]\">\n                  {PULSE_LABELS[p.type][lang]}\n                </p>\n                <TrendBadge pct={p.pct12m} label={fr ? \"12 mois\" : \"12 mo\"} />\n              </div>\n              <div className=\"mt-3\">\n                <IndexSpark series={p.series} />\n              </div>\n              {p.since2021 != null && (\n                <p className=\"vp-mono mt-2 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n                  {fr ? \"Depuis 2021\" : \"Since 2021\"} :{\" \"}\n                  <b className=\"text-ink\">\n                    {p.since2021 >= 0 ? \"+\" : \"\"}\n                    {p.since2021.toFixed(0)} %\n                  </b>\n                </p>\n              )}\n            </div>\n          ))}\n        </div>\n      </section>\n\n      {/* ---- Dernières ventes captées ---- */}\n      {recent.length > 0 && (\n        <section className=\"mt-14\">\n          <span className=\"kicker\">\n            <span className=\"pulse\" style={{ width: 8, height: 8 }} />\n            {fr ? \"Flux en continu\" : \"Live feed\"}\n          </span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}\n          </h2>\n          <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">\n            {fr\n              ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Cliquez pour voir l'estimation complète de la propriété vendue.\"\n              : \"Published transactions, automatically matched to their assessment unit. Click for the sold property's full estimate.\"}\n          </p>\n          <div className=\"src-wrap mt-4\">\n            <table className=\"src-table\">\n              <thead>\n                <tr>\n                  <th>{fr ? \"Date\" : \"Date\"}</th>\n                  <th>{fr ? \"Propriété\" : \"Property\"}</th>\n                  <th className=\"text-right\">{fr ? \"Prix de vente\" : \"Sale price\"}</th>\n                  <th className=\"text-right\"></th>\n                </tr>\n              </thead>\n              <tbody>\n                {recent.map((s) => (\n                  <tr key={s.id}>\n                    <td className=\"vp-mono whitespace-nowrap text-[12px] font-bold uppercase\">\n                      {dateFmt(s.date)}\n                    </td>\n                    <td>\n                      <p className=\"font-semibold leading-tight\">\n                        {s.street}\n                        {s.city ? `, ${s.city}` : \"\"}\n                      </p>\n                      {s.propertyType && s.propertyType !== \"indéterminé\" && (\n                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                          {s.propertyType}\n                        </p>\n                      )}\n                    </td>\n                    <td className=\"text-right\">\n                      <span className=\"vp-display font-bold\">{money(s.amount)}</span>\n                      {s.vsRolePct != null && Math.abs(s.vsRolePct) < 400 && (\n                        <p className=\"vp-mono mt-0.5 text-[10px] text-ink-3\">\n                          {s.vsRolePct >= 0 ? \"+\" : \"−\"}\n                          {Math.abs(s.vsRolePct).toFixed(0)} %{\" \"}\n                          {fr ? \"vs rôle\" : \"vs roll\"}\n                        </p>\n                      )}\n                    </td>\n                    <td className=\"text-right\">\n                      {s.idProvinc && (\n                        <Link\n                          href={`/estimation/${encodeURIComponent(s.idProvinc)}`}\n                          className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1.5 text-[11px] font-bold uppercase tracking-[0.04em] transition-colors hover:bg-lime\"\n                        >\n                          {fr ? \"Estimer\" : \"Estimate\"} →\n                        </Link>\n                      )}\n                    </td>\n                  </tr>\n                ))}\n              </tbody>\n            </table>\n          </div>\n        </section>\n      )}\n\n      {/* ---- Formulaire manuel ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">{lang === \"fr\" ? \"Plan B\" : \"Plan B\"}</span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {t(\"manualTitle\")}\n        </h2>\n        <div className=\"vp-card mt-4 p-4 sm:p-6\">\n          <EstimateForm />\n        </div>\n      </section>\n\n      {/* ---- Manifeste transparence ---- */}\n      <section className=\"mt-14 grid gap-4 sm:grid-cols-3\">\n        {(lang === \"fr\"\n          ? [\n              [\"01\", \"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],\n              [\"02\", \"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],\n              [\"03\", \"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],\n            ]\n          : [\n              [\"01\", \"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],\n              [\"02\", \"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],\n              [\"03\", \"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],\n            ]\n        ).map(([num, title, body]) => (\n          <div key={num} className=\"vp-card vp-card-hover p-5\">\n            <p className=\"vp-mono text-[11px] font-bold text-green\">{num}</p>\n            <h3 className=\"vp-display mt-1.5 text-[17px] font-bold uppercase tracking-[-0.01em]\">\n              {title}\n            </h3>\n            <p className=\"mt-2 text-[13.5px] text-ink-2\">{body}</p>\n          </div>\n        ))}\n      </section>\n    </div>\n  );\n}\n","numLines":303,"startLine":1,"totalLines":303}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e138a5c8-09bf-40b1-ab5d-e3e4c0f41b6f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"d762e931-5a21-4318-bf15-57300e94b4fb","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"fbd024eb-5dcd-4163-8bbd-88d2d31ed0b9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":175,"estimated_tokens_delta":25,"uuid":"98fe8508-30ea-476a-9364-2f017c608dda","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9AdvgcmmZkQGHt6LzX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12741,"cache_read_input_tokens":41773,"cache_creation":{"ephemeral_5m_input_tokens":12741,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"47b04fb5-78ac-42f1-bb79-b501bf598c10","request_id":"req_011CeQ9AcRe3ZYcRpXdKAwx2"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9AdvgcmmZkQGHt6LzX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12741,"cache_read_input_tokens":41773,"cache_creation":{"ephemeral_5m_input_tokens":12741,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2d8956dd-c6f7-4c43-8de5-2d5822e670d5","request_id":"req_011CeQ9AcRe3ZYcRpXdKAwx2"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9AdvgcmmZkQGHt6LzX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014xHuKwSbykZhmemkXhHa6P","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12741,"cache_read_input_tokens":41773,"cache_creation":{"ephemeral_5m_input_tokens":12741,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fb5aedeb-69db-4b35-bf95-f6e3547b123e","request_id":"req_011CeQ9AcRe3ZYcRpXdKAwx2"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9AdvgcmmZkQGHt6LzX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QGCu6McxmaJ1yMaF9VR8qq","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12741,"cache_read_input_tokens":41773,"cache_creation":{"ephemeral_5m_input_tokens":12741,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"93a42511-7954-4cc4-9d1b-f1c085dc1c91","request_id":"req_011CeQ9AcRe3ZYcRpXdKAwx2"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014xHuKwSbykZhmemkXhHa6P","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport { useState } from \"react\";\n4\timport Link from \"next/link\";\n5\timport { useLang } from \"./LangContext\";\n6\timport LeadForm from \"./LeadForm\";\n7\timport RadarMap from \"./RadarMap\";\n8\timport FavButton from \"./FavButton\";\n9\timport {\n10\t  BuildingGlyph,\n11\t  ConfidenceDial,\n12\t  CountUp,\n13\t  EraLine,\n14\t  locNum,\n15\t  LotDiagram,\n16\t  MarketIndexChart,\n17\t  PercentileBar,\n18\t  RangeBar,\n19\t  ValueSplit,\n20\t} from \"./MetricViz\";\n21\timport type { EstimateResult } from \"@/lib/engine\";\n22\timport type { UnitEstimate } from \"@/lib/estimator\";\n23\timport type { TKey } from \"@/lib/i18n\";\n24\t\n25\tconst fmt = (v: number | null | undefined, lang: string) =>\n26\t  v == null\n27\t    ? \"—\"\n28\t    : new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n29\t        style: \"currency\",\n30\t        currency: \"CAD\",\n31\t        maximumFractionDigits: 0,\n32\t      }).format(v);\n33\t\n34\tconst signed = (v: number, lang: string) =>\n35\t  `${v >= 0 ? \"+\" : \"−\"}${fmt(Math.abs(Math.round(v)), lang)}`;\n36\t\n37\tfunction Chip({ k, v }: { k: string; v: string | number }) {\n38\t  return (\n39\t    <div className=\"kv-cell\">\n40\t      <p className=\"k\">{k}</p>\n41\t      <p className=\"v break-words\">{v}</p>\n42\t    </div>\n43\t  );\n44\t}\n45\t\n46\texport default function ResultView({ data }: { data: UnitEstimate }) {\n47\t  const { lang, t } = useLang();\n48\t  const [activeComp, setActiveComp] = useState<string | null>(null);\n49\t  const r: EstimateResult = data.result;\n50\t  const u = data.unit;\n51\t  const ctx = data.context;\n52\t  const s = u?.specs;\n53\t  const fr = lang === \"fr\";\n54\t  const histMax = Math.max(...(u?.history.map((h) => h.value ?? 0) ?? [0]), 1);\n55\t  const moneyFmt = (v: number) =>\n56\t    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n57\t      style: \"currency\",\n58\t      currency: \"CAD\",\n59\t      maximumFractionDigits: 0,\n60\t    }).format(Math.round(v / 100) * 100);\n61\t\n62\t  return (\n63\t    <div className=\"space-y-10 py-8\">\n64\t      {/* fil d'ariane */}\n65\t      <nav className=\"vp-mono flex flex-wrap items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">\n66\t        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">\n67\t          Vrai-Prix\n68\t        </Link>\n69\t        <span>/</span>\n70\t        <span>{u ? `${u.adresse ?? \"\"} · ${u.municipalite ?? \"\"}` : t(\"manualTitle\")}</span>\n71\t      </nav>\n72\t\n73\t      {/* ---- Panneau prix ---- */}\n74\t      <section className=\"vp-card rise p-6 sm:p-8\">\n75\t        <div className=\"flex flex-wrap items-start justify-between gap-6\">\n76\t          {/* basis large : sous ~380px de large la jauge passe dessous au lieu d'écraser la colonne */}\n77\t          <div className=\"min-w-0 flex-1 basis-[300px]\">\n78\t            <div className=\"flex items-center justify-between gap-3\">\n79\t              <span className=\"kicker\">{t(\"estimatedValue\")}</span>\n80\t              {/* ♥ Mon univers Ka — favori unifié Groupe KA */}\n81\t              {u && (\n82\t                <FavButton\n83\t                  size=\"lg\"\n84\t                  item={{\n85\t                    item_id: u.id,\n86\t                    title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,\n87\t                    subtitle: u.municipalite ?? \"\",\n88\t                    price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",\n89\t                    url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,\n90\t                  }}\n91\t                />\n92\t              )}\n93\t            </div>\n94\t            {u && (\n95\t              <h1 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-tight tracking-[-0.02em]\">\n96\t                {u.adresse}\n97\t                {s?.apt ? ` app. ${s.apt}` : \"\"}\n98\t                {u.municipalite ? <span className=\"text-ink-3\"> · {u.municipalite}</span> : null}\n99\t              </h1>\n100\t            )}\n101\t            <p className=\"vp-display mt-3 text-[clamp(44px,7vw,72px)] font-bold leading-none tracking-[-0.04em]\">\n102\t              <CountUp value={r.estimate} format={moneyFmt} />\n103\t            </p>\n104\t            {/* faits rapides */}\n105\t            <div className=\"mt-4 flex flex-wrap gap-2\">\n106\t              {[\n107\t                u ? t(u.typeProp as TKey) : null,\n108\t                u?.aireEtagesM2 && r.estimate > 0\n109\t                  ? `${locNum(Math.round(r.estimate / u.aireEtagesM2), lang, { maxFrac: 0 })} $/m²`\n110\t                  : null,\n111\t                u?.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : null,\n112\t                u?.anneeConstruction ? `${fr ? \"constr.\" : \"built\"} ${u.anneeConstruction}` : null,\n113\t                u?.superficieTerrainM2\n114\t                  ? `${fr ? \"terrain\" : \"lot\"} ${locNum(u.superficieTerrainM2, lang, { unit: \"m²\" })}`\n115\t                  : null,\n116\t              ]\n117\t                .filter((x): x is string => x != null)\n118\t                .map((x) => (\n119\t                  <span\n120\t                    key={x}\n121\t                    className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1 text-[11px] font-bold uppercase tracking-[0.04em]\"\n122\t                  >\n123\t                    {x}\n124\t                  </span>\n125\t                ))}\n126\t            </div>\n127\t            {/* fourchette visuelle P10-P90 avec position du rôle */}\n128\t            <div className=\"mt-6 max-w-2xl\">\n129\t              <p className=\"klabel mb-1\">{t(\"range\")}</p>\n130\t              <RangeBar\n131\t                low={r.low}\n132\t                estimate={r.estimate}\n133\t                high={r.high}\n134\t                role={u?.valeurRole ?? null}\n135\t                lang={lang}\n136\t              />\n137\t            </div>\n138\t            <div className=\"mt-5 flex flex-wrap items-center gap-x-6 gap-y-3\">\n139\t              {u?.valeurRole != null && (\n140\t                <div>\n141\t                  <p className=\"klabel\">{t(\"assessed\")}</p>\n142\t                  <p className=\"vp-display text-[19px] font-bold text-ink-2\">{fmt(u.valeurRole, lang)}</p>\n143\t                </div>\n144\t              )}\n145\t              {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (\n146\t                <div>\n147\t                  <p className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</p>\n148\t                  <p className=\"vp-display text-[19px] font-bold text-green-deep\">\n149\t                    {r.estimate >= u.valeurRole ? \"+\" : \"\"}\n150\t                    {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %\n151\t                  </p>\n152\t                </div>\n153\t              )}\n154\t            </div>\n155\t            {u && (\n156\t              <div className=\"mt-6 flex flex-wrap gap-2.5\">\n157\t                <a\n158\t                  href={`/api/report?id=${encodeURIComponent(u.id)}`}\n159\t                  className=\"btn btn-primary\"\n160\t                  download\n161\t                >\n162\t                  {fr ? \"Rapport PDF\" : \"PDF report\"} ↓\n163\t                </a>\n164\t                <a\n165\t                  href={`/api/report/pro?id=${encodeURIComponent(u.id)}`}\n166\t                  className=\"btn btn-ghost\"\n167\t                  download\n168\t                  title={fr ? \"Structure de rapport d'évaluation — présentation bancaire\" : \"Appraisal-style structure — bank presentation\"}\n169\t                >\n170\t                  {fr ? \"Rapport détaillé format professionnel (banque)\" : \"Detailed professional report (bank)\"} ↓\n171\t                </a>\n172\t              </div>\n173\t            )}\n174\t          </div>\n175\t          <div className=\"shrink-0\">\n176\t            <ConfidenceDial\n177\t              pct={r.confidencePct}\n178\t              level={r.confidenceLevel}\n179\t              label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}\n180\t            />\n181\t          </div>\n182\t        </div>\n183\t        <p className=\"vp-mono mt-5 border-t-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n184\t          {t(\"disclaimer\")}\n185\t        </p>\n186\t      </section>\n187\t\n188\t      {/* ---- Portrait de la propriété (bento du registre) ---- */}\n189\t      {u && s && (\n190\t        <section>\n191\t          <span className=\"kicker\">{fr ? \"Registre officiel — dessiné par les données\" : \"Official record — drawn by the data\"}</span>\n192\t          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n193\t            {fr ? \"Portrait de la propriété\" : \"Property portrait\"}\n194\t          </h2>\n195\t          <div className=\"mt-4 grid gap-4 lg:grid-cols-3\">\n196\t            {/* Bâtiment */}\n197\t            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"60ms\" }}>\n198\t              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n199\t                {fr ? \"Bâtiment\" : \"Building\"}\n200\t              </p>\n201\t              <div className=\"flex justify-center py-2\">\n202\t                <BuildingGlyph\n203\t                  floors={s.nbEtages}\n204\t                  dwellings={u.nbLogements}\n205\t                  genre={s.genreConstruction}\n206\t                  yearBuilt={u.anneeConstruction}\n207\t                  floorAreaM2={u.aireEtagesM2}\n208\t                  lang={lang}\n209\t                />\n210\t              </div>\n211\t              <EraLine year={u.anneeConstruction} lang={lang} />\n212\t              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n213\t                <Chip k={fr ? \"Aire d'étages\" : \"Floor area\"} v={u.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : \"—\"} />\n214\t                <Chip k={fr ? \"Étages × logements\" : \"Storeys × dwellings\"} v={`${s.nbEtages ?? \"—\"} × ${u.nbLogements ?? \"—\"}`} />\n215\t                <Chip k={fr ? \"Genre\" : \"Style\"} v={s.genreConstruction ?? \"—\"} />\n216\t                <Chip k={fr ? \"Lien physique\" : \"Physical link\"} v={s.lienPhysique ?? \"—\"} />\n217\t              </div>\n218\t            </div>\n219\t            {/* Terrain */}\n220\t            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"140ms\" }}>\n221\t              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n222\t                {fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}\n223\t              </p>\n224\t              <div className=\"flex justify-center py-2\">\n225\t                <LotDiagram\n226\t                  areaM2={u.superficieTerrainM2}\n227\t                  frontageM={s.frontTerrainM}\n228\t                  footprintM2={\n229\t                    u.aireEtagesM2 && s.nbEtages ? u.aireEtagesM2 / Math.max(1, s.nbEtages) : u.aireEtagesM2\n230\t                  }\n231\t                  lang={lang}\n232\t                  isCondo={!!s.apt || (u.nbLogements != null && u.nbLogements >= 1 && !u.superficieTerrainM2)}\n233\t                />\n234\t              </div>\n235\t              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n236\t                <Chip k={fr ? \"Superficie\" : \"Area\"} v={u.superficieTerrainM2 ? locNum(u.superficieTerrainM2, lang, { unit: \"m²\" }) : \"—\"} />\n237\t                <Chip k={fr ? \"Frontage\" : \"Frontage\"} v={s.frontTerrainM ? locNum(s.frontTerrainM, lang, { unit: \"m\" }) : \"—\"} />\n238\t                <Chip k=\"CUBF\" v={s.cubf ?? \"—\"} />\n239\t                <Chip k={fr ? \"Usage\" : \"Use\"} v={s.cubfLibelle ?? \"—\"} />\n240\t              </div>\n241\t            </div>\n242\t            {/* Valeur au rôle */}\n243\t            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"220ms\" }}>\n244\t              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n245\t                {fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}\n246\t              </p>\n247\t              <p className=\"vp-display py-2 text-[26px] font-bold tracking-[-0.02em]\">\n248\t                {fmt(u.valeurRole, lang)}\n249\t              </p>\n250\t              <ValueSplit\n251\t                land={s.valeurTerrain}\n252\t                building={s.valeurBatiment}\n253\t                previous={s.valeurAnterieure}\n254\t                total={u.valeurRole}\n255\t                lang={lang}\n256\t                labels={{\n257\t                  land: fr ? \"Terrain\" : \"Land\",\n258\t                  building: fr ? \"Bâtiment\" : \"Building\",\n259\t                  previous: fr ? \"Rôle antérieur\" : \"Previous roll\",\n260\t                }}\n261\t              />\n262\t              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n263\t                <Chip k={fr ? \"Cond. marché au\" : \"Market cond.\"} v={s.datCondMarche ?? \"—\"} />\n264\t                <Chip k={fr ? \"Matricule\" : \"Roll no.\"} v={s.matricule ?? \"—\"} />\n265\t              </div>\n266\t            </div>\n267\t          </div>\n268\t          {/* registre brut complet */}\n269\t          <details className=\"vp-card mt-4 p-5\">\n270\t            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n271\t              {fr ? \"▸ Toutes les données du registre (brutes)\" : \"▸ All registry data (raw)\"}\n272\t            </summary>\n273\t            <div className=\"mt-4 grid grid-cols-2 gap-2 sm:grid-cols-4\">\n274\t              <Chip k={fr ? \"Année construction\" : \"Year built\"} v={u.anneeConstruction ? `${u.anneeConstruction}${s.anneeEstimee === \"E\" ? (fr ? \" (estimée)\" : \" (est.)\") : \"\"}` : \"—\"} />\n275\t              <Chip k={fr ? \"Locaux non résid.\" : \"Non-res. units\"} v={s.nbLocauxNonResid ?? \"—\"} />\n276\t              <Chip k={fr ? \"Chambres locatives\" : \"Rental rooms\"} v={s.nbChambresLocatives ?? \"—\"} />\n277\t              <Chip k={fr ? \"Unité de voisinage\" : \"Neighbourhood\"} v={s.uniteVoisinage || \"—\"} />\n278\t              <Chip k={fr ? \"Arrondissement\" : \"Borough\"} v={s.arrond || \"—\"} />\n279\t              <Chip k={fr ? \"Adresses sur l'unité\" : \"Addresses\"} v={s.nAdresses ?? \"—\"} />\n280\t              <Chip k={fr ? \"Valeur terrain\" : \"Land value\"} v={fmt(s.valeurTerrain, lang)} />\n281\t              <Chip k={fr ? \"Valeur bâtiment\" : \"Building value\"} v={fmt(s.valeurBatiment, lang)} />\n282\t              <Chip k={fr ? \"Rôle antérieur\" : \"Previous roll\"} v={fmt(s.valeurAnterieure, lang)} />\n283\t              <Chip k=\"ID provincial\" v={u.id} />\n284\t            </div>\n285\t          </details>\n286\t        </section>\n287\t      )}\n288\t\n289\t      {/* ---- Transparence du calcul ---- */}\n290\t      <section>\n291\t        <span className=\"kicker\">{fr ? \"Transparence\" : \"Transparency\"}</span>\n292\t        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n293\t          {t(\"whyTitle\")}\n294\t        </h2>\n295\t        <div className=\"mt-4 grid gap-4 sm:grid-cols-2\">\n296\t          <div className=\"vp-card vp-card-hover rise p-5\">\n297\t            <p className=\"klabel\">{t(\"modelPart\")}</p>\n298\t            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">\n299\t              {r.modelEstimate != null ? (\n300\t                <CountUp value={r.modelEstimate} format={moneyFmt} />\n301\t              ) : (\n302\t                \"—\"\n303\t              )}\n304\t            </p>\n305\t            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">\n306\t              {t(\"weightModel\")} : {(r.modelWeight * 100).toFixed(0)} %\n307\t            </p>\n308\t          </div>\n309\t          <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"100ms\" }}>\n310\t            <p className=\"klabel\">{t(\"compsPart\")}</p>\n311\t            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">\n312\t              {r.compsEstimate != null ? (\n313\t                <CountUp value={r.compsEstimate} format={moneyFmt} />\n314\t              ) : (\n315\t                \"—\"\n316\t              )}\n317\t            </p>\n318\t            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">\n319\t              {t(\"weightComps\")} : {((1 - r.modelWeight) * 100).toFixed(0)} % · {r.nCompsUsed} comps\n320\t              {r.compsDispersionPct != null ? ` · ±${r.compsDispersionPct} %` : \"\"}\n321\t            </p>\n322\t          </div>\n323\t        </div>\n324\t      </section>\n325\t\n326\t      {/* ---- Marché local ---- */}\n327\t      {ctx && (ctx.index.length >= 6 || ctx.sector || ctx.muniPercentile != null) && (\n328\t        <section>\n329\t          <span className=\"kicker\">{fr ? \"Contexte de marché\" : \"Market context\"}</span>\n330\t          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n331\t            {fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}\n332\t          </h2>\n333\t          <div className=\"mt-4 grid items-stretch gap-4 lg:grid-cols-[1.35fr_1fr]\">\n334\t            {/* trajectoire du marché */}\n335\t            {ctx.index.length >= 6 && (\n336\t              <div className=\"vp-card rise p-5\">\n337\t                <div className=\"flex flex-wrap items-center justify-between gap-2\">\n338\t                  <p className=\"klabel\">\n339\t                    {fr\n340\t                      ? `Indice de marché — ${t(ctx.typeProp as TKey)} (base 100 en ${ctx.index[0].month.slice(0, 4)})`\n341\t                      : `Market index — ${t(ctx.typeProp as TKey)} (base 100 in ${ctx.index[0].month.slice(0, 4)})`}\n342\t                  </p>\n343\t                  <div className=\"flex gap-2\">\n344\t                    {ctx.index12mPct != null && (\n345\t                      <span className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${ctx.index12mPct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n346\t                        12 {fr ? \"mois\" : \"mo\"} {ctx.index12mPct >= 0 ? \"+\" : \"\"}\n347\t                        {ctx.index12mPct.toFixed(1)} %\n348\t                      </span>\n349\t                    )}\n350\t                    {ctx.indexSince2021Pct != null && (\n351\t                      <span className=\"vp-mono rounded-[4px] border border-ink bg-surface-2 px-1.5 py-0.5 text-[10px] font-bold text-ink-2\">\n352\t                        {ctx.index[0].month.slice(0, 4)}→ {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}\n353\t                        {ctx.indexSince2021Pct.toFixed(0)} %\n354\t                      </span>\n355\t                    )}\n356\t                  </div>\n357\t                </div>\n358\t                <div className=\"mt-3\">\n359\t                  <MarketIndexChart series={ctx.index} lang={lang} />\n360\t                </div>\n361\t                <p className=\"vp-mono mt-2 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n362\t                  {fr\n363\t                    ? \"Indice utilisé pour l'ajustement « marché » des comparables — même donnée, même calcul.\"\n364\t                    : \"Index used for the comparables' market adjustment — same data, same math.\"}\n365\t                </p>\n366\t              </div>\n367\t            )}\n368\t            <div className=\"flex flex-col gap-4\">\n369\t              {/* ventes du secteur */}\n370\t              {ctx.sector && (\n371\t                <div className=\"vp-card rise p-5\" style={{ animationDelay: \"80ms\" }}>\n372\t                  <p className=\"klabel\">\n373\t                    {fr\n374\t                      ? `Ventes réelles — rayon ${ctx.sector.radiusKm} km · 12 mois`\n375\t                      : `Real sales — ${ctx.sector.radiusKm} km radius · 12 months`}\n376\t                  </p>\n377\t                  <div className=\"mt-3 grid grid-cols-3 gap-2\">\n378\t                    <div className=\"kv-cell\">\n379\t                      <p className=\"k\">{fr ? \"Ventes\" : \"Sales\"}</p>\n380\t                      <p className=\"v\">{ctx.sector.nSales12m}</p>\n381\t                    </div>\n382\t                    <div className=\"kv-cell\">\n383\t                      <p className=\"k\">{fr ? \"Prix médian\" : \"Median price\"}</p>\n384\t                      <p className=\"v\">{ctx.sector.medianPrice != null ? fmt(Math.round(ctx.sector.medianPrice), lang) : \"—\"}</p>\n385\t                    </div>\n386\t                    <div className=\"kv-cell\">\n387\t                      <p className=\"k\">$/m² {fr ? \"médian\" : \"median\"}</p>\n388\t                      <p className=\"v\">\n389\t                        {ctx.sector.medianPpm2 != null\n390\t                          ? locNum(Math.round(ctx.sector.medianPpm2), lang, { maxFrac: 0 })\n391\t                          : \"—\"}\n392\t                      </p>\n393\t                    </div>\n394\t                  </div>\n395\t                  {ctx.sector.medianPrice != null && r.estimate > 0 && (\n396\t                    <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-2\">\n397\t                      {fr ? \"Cette propriété\" : \"This property\"} :{\" \"}\n398\t                      <b className=\"text-ink\">\n399\t                        {r.estimate >= ctx.sector.medianPrice ? \"+\" : \"−\"}\n400\t                        {Math.abs((r.estimate / ctx.sector.medianPrice - 1) * 100).toFixed(0)} %\n401\t                      </b>{\" \"}\n402\t                      {fr ? \"vs médiane du secteur\" : \"vs sector median\"}\n403\t                    </p>\n404\t                  )}\n405\t                </div>\n406\t              )}\n407\t              {/* position dans la municipalité */}\n408\t              {ctx.muniPercentile != null && u?.municipalite && (\n409\t                <div className=\"vp-card rise flex-1 p-5\" style={{ animationDelay: \"160ms\" }}>\n410\t                  <p className=\"klabel\">\n411\t                    {fr ? `Position dans ${u.municipalite}` : `Position in ${u.municipalite}`}\n412\t                  </p>\n413\t                  <div className=\"mt-3\">\n414\t                    <PercentileBar pct={ctx.muniPercentile} lang={lang} />\n415\t                  </div>\n416\t                  <p className=\"mt-3 text-[13px] text-ink-2\">\n417\t                    {fr ? (\n418\t                      <>\n419\t                        Vaut plus que{\" \"}\n420\t                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> des{\" \"}\n421\t                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n422\t                        propriétés estimées de la municipalité.\n423\t                      </>\n424\t                    ) : (\n425\t                      <>\n426\t                        Worth more than{\" \"}\n427\t                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> of the{\" \"}\n428\t                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n429\t                        estimated properties in the municipality.\n430\t                      </>\n431\t                    )}\n432\t                  </p>\n433\t                </div>\n434\t              )}\n435\t            </div>\n436\t          </div>\n437\t        </section>\n438\t      )}\n439\t\n440\t      {/* ---- Historique ---- */}\n441\t      {u && u.history.some((h) => h.value != null) && (\n442\t        <section>\n443\t          <span className=\"kicker\">2021 → 2026</span>\n444\t          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n445\t            {t(\"history\")}\n446\t          </h2>\n447\t          <div className=\"vp-card rise mt-4 p-5 sm:p-6\">\n448\t            <div className=\"flex flex-col gap-2\">\n449\t              {u.history.map((h, i) => {\n450\t                const prev = i > 0 ? u.history[i - 1].value : null;\n451\t                const yoy =\n452\t                  h.value != null && prev != null && prev > 0\n453\t                    ? ((h.value / prev - 1) * 100)\n454\t                    : null;\n455\t                return (\n456\t                  <div key={h.year} className=\"hbar-row grid grid-cols-[44px_1fr_auto] items-center gap-2 sm:grid-cols-[52px_1fr_auto] sm:gap-3\">\n457\t                    <span className=\"vp-mono text-[12px] font-bold\">{h.year}</span>\n458\t                    <span className=\"hbar-track\">\n459\t                      <span\n460\t                        className=\"hbar-fill grow-x\"\n461\t                        style={{\n462\t                          width: `${((h.value ?? 0) / histMax) * 100}%`,\n463\t                          animationDelay: `${i * 90}ms`,\n464\t                          background: h.year === 2026 ? \"var(--ink)\" : undefined,\n465\t                        }}\n466\t                      />\n467\t                    </span>\n468\t                    <span className=\"vp-mono flex items-center justify-end gap-2 text-[12px] font-bold\">\n469\t                      {fmt(h.value, lang)}\n470\t                      {yoy != null && (\n471\t                        <span className={`rounded-[4px] border border-ink px-1 py-px text-[9px] ${yoy >= 0 ? \"bg-lime-soft text-green-deep\" : \"bg-[var(--danger-soft)] text-[var(--danger)]\"}`}>\n472\t                          {yoy >= 0 ? \"+\" : \"\"}\n473\t                          {yoy.toFixed(0)} %\n474\t                        </span>\n475\t                      )}\n476\t                    </span>\n477\t                  </div>\n478\t                );\n479\t              })}\n480\t            </div>\n481\t          </div>\n482\t        </section>\n483\t      )}\n484\t\n485\t      {/* ---- Plan des comparables (carte maison) ---- */}\n486\t      <section>\n487\t        <span className=\"kicker\">\n488\t          {r.nCompsUsed} {fr ? \"ventes réelles\" : \"real sales\"}\n489\t        </span>\n490\t        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n491\t          {t(\"compsTitle\")}\n492\t        </h2>\n493\t        <div className=\"mt-4 grid items-start gap-4 lg:grid-cols-[1.05fr_1fr]\">\n494\t          <div className=\"overflow-hidden rounded-[10px] border-[1.5px] border-ink shadow-[8px_8px_0_rgba(20,24,20,0.08)]\">\n495\t            <RadarMap\n496\t              subject={{\n497\t                lat: u?.lat ?? r.comps[0]?.lat ?? 46.81,\n498\t                lng: u?.lng ?? r.comps[0]?.lng ?? -71.21,\n499\t                label: u?.adresse ?? (fr ? \"Propriété estimée\" : \"Subject property\"),\n500\t              }}\n501\t              comps={r.comps.map((c) => ({\n502\t                id: c.id,\n503\t                lat: c.lat,\n504\t                lng: c.lng,\n505\t                label: `${c.street ?? \"\"}, ${c.city ?? \"\"}`,\n506\t                price: fmt(c.amount, lang),\n507\t                adjusted: fmt(Math.round(c.adjustedPrice), lang),\n508\t                date: c.date,\n509\t                distanceM: c.distanceM,\n510\t                weight: c.weight,\n511\t              }))}\n512\t              highlight={activeComp}\n513\t              onHover={setActiveComp}\n514\t            />\n515\t          </div>\n516\t          <div className=\"src-wrap max-h-[560px] overflow-y-auto\">\n517\t            <table className=\"src-table\">\n518\t              <thead className=\"sticky top-0 z-10\">\n519\t                <tr>\n520\t                  <th>#</th>\n521\t                  <th>{fr ? \"Vente\" : \"Sale\"}</th>\n522\t                  <th className=\"text-right\">{t(\"adjusted\")}</th>\n523\t                </tr>\n524\t              </thead>\n525\t              <tbody>\n526\t                {r.comps.map((c, i) => (\n527\t                  <tr\n528\t                    key={c.id}\n529\t                    onMouseEnter={() => setActiveComp(c.id)}\n530\t                    onMouseLeave={() => setActiveComp(null)}\n531\t                    className={activeComp === c.id ? \"!bg-lime-soft\" : \"\"}\n532\t                  >\n533\t                    <td>\n534\t                      <span\n535\t                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center rounded-full border-[1.5px] border-ink text-[11px] font-bold ${\n536\t                          activeComp === c.id ? \"bg-lime text-ink\" : \"bg-green text-paper\"\n537\t                        }`}\n538\t                      >\n539\t                        {i + 1}\n540\t                      </span>\n541\t                    </td>\n542\t                    <td>\n543\t                      <p className=\"font-semibold leading-tight\">\n544\t                        {c.street}, {c.city}\n545\t                      </p>\n546\t                      <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n547\t                        {c.date} · {c.distanceM < 1000 ? `${Math.round(c.distanceM)} m` : `${(c.distanceM / 1000).toFixed(1)} km`} ·{\" \"}\n548\t                        {t(\"sold\")} {fmt(c.amount, lang)}\n549\t                        {c.floorArea && c.floorArea > 20\n550\t                          ? ` (${locNum(Math.round(c.amount / c.floorArea), lang, { maxFrac: 0 })} $/m²)`\n551\t                          : \"\"}\n552\t                      </p>\n553\t                      {(c.floorArea || c.yearBuilt) && (\n554\t                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n555\t                          {[\n556\t                            c.floorArea ? locNum(c.floorArea, lang, { unit: \"m²\" }) : null,\n557\t                            c.yearBuilt ? `${fr ? \"constr.\" : \"built\"} ${c.yearBuilt}` : null,\n558\t                          ]\n559\t                            .filter(Boolean)\n560\t                            .join(\" · \")}\n561\t                        </p>\n562\t                      )}\n563\t                      <p className=\"vp-mono mt-0.5 text-[10.5px] text-ink-2\">\n564\t                        {t(\"adjTime\")} {signed(c.adjTime, lang)} · {t(\"adjArea\")} {signed(c.adjArea, lang)} ·{\" \"}\n565\t                        {t(\"adjAge\")} {signed(c.adjAge, lang)}\n566\t                      </p>\n567\t                    </td>\n568\t                    <td className=\"vp-display text-right font-bold\">\n569\t                      {fmt(Math.round(c.adjustedPrice), lang)}\n570\t                      <p className=\"vp-mono text-[10px] font-normal text-ink-3\">\n571\t                        {t(\"weight\")} {(c.weight * 100).toFixed(0)} %\n572\t                      </p>\n573\t                    </td>\n574\t                  </tr>\n575\t                ))}\n576\t              </tbody>\n577\t            </table>\n578\t          </div>\n579\t        </div>\n580\t      </section>\n581\t\n582\t      {/* ---- Lead ---- */}\n583\t      <section className=\"rounded-[10px] border-[1.5px] border-ink bg-ink p-6 text-paper shadow-[8px_8px_0_rgba(20,24,20,0.2)] sm:p-8\">\n584\t        <h2 className=\"vp-display text-[22px] font-bold uppercase tracking-[-0.02em] text-lime\">\n585\t          {t(\"leadTitle\")}\n586\t        </h2>\n587\t        <div className=\"mt-4 max-w-xl\">\n588\t          <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />\n589\t        </div>\n590\t      </section>\n591\t    </div>\n592\t  );\n593\t}\n594\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"227cb771-cdce-45ca-aeec-b56d6e8fa7fb","timestamp":"2026-08-25T21:01:50.381Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport { useLang } from \"./LangContext\";\nimport LeadForm from \"./LeadForm\";\nimport RadarMap from \"./RadarMap\";\nimport FavButton from \"./FavButton\";\nimport {\n  BuildingGlyph,\n  ConfidenceDial,\n  CountUp,\n  EraLine,\n  locNum,\n  LotDiagram,\n  MarketIndexChart,\n  PercentileBar,\n  RangeBar,\n  ValueSplit,\n} from \"./MetricViz\";\nimport type { EstimateResult } from \"@/lib/engine\";\nimport type { UnitEstimate } from \"@/lib/estimator\";\nimport type { TKey } from \"@/lib/i18n\";\n\nconst fmt = (v: number | null | undefined, lang: string) =>\n  v == null\n    ? \"—\"\n    : new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n        style: \"currency\",\n        currency: \"CAD\",\n        maximumFractionDigits: 0,\n      }).format(v);\n\nconst signed = (v: number, lang: string) =>\n  `${v >= 0 ? \"+\" : \"−\"}${fmt(Math.abs(Math.round(v)), lang)}`;\n\nfunction Chip({ k, v }: { k: string; v: string | number }) {\n  return (\n    <div className=\"kv-cell\">\n      <p className=\"k\">{k}</p>\n      <p className=\"v break-words\">{v}</p>\n    </div>\n  );\n}\n\nexport default function ResultView({ data }: { data: UnitEstimate }) {\n  const { lang, t } = useLang();\n  const [activeComp, setActiveComp] = useState<string | null>(null);\n  const r: EstimateResult = data.result;\n  const u = data.unit;\n  const ctx = data.context;\n  const s = u?.specs;\n  const fr = lang === \"fr\";\n  const histMax = Math.max(...(u?.history.map((h) => h.value ?? 0) ?? [0]), 1);\n  const moneyFmt = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(Math.round(v / 100) * 100);\n\n  return (\n    <div className=\"space-y-10 py-8\">\n      {/* fil d'ariane */}\n      <nav className=\"vp-mono flex flex-wrap items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">\n        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">\n          Vrai-Prix\n        </Link>\n        <span>/</span>\n        <span>{u ? `${u.adresse ?? \"\"} · ${u.municipalite ?? \"\"}` : t(\"manualTitle\")}</span>\n      </nav>\n\n      {/* ---- Panneau prix ---- */}\n      <section className=\"vp-card rise p-6 sm:p-8\">\n        <div className=\"flex flex-wrap items-start justify-between gap-6\">\n          {/* basis large : sous ~380px de large la jauge passe dessous au lieu d'écraser la colonne */}\n          <div className=\"min-w-0 flex-1 basis-[300px]\">\n            <div className=\"flex items-center justify-between gap-3\">\n              <span className=\"kicker\">{t(\"estimatedValue\")}</span>\n              {/* ♥ Mon univers Ka — favori unifié Groupe KA */}\n              {u && (\n                <FavButton\n                  size=\"lg\"\n                  item={{\n                    item_id: u.id,\n                    title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,\n                    subtitle: u.municipalite ?? \"\",\n                    price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",\n                    url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,\n                  }}\n                />\n              )}\n            </div>\n            {u && (\n              <h1 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-tight tracking-[-0.02em]\">\n                {u.adresse}\n                {s?.apt ? ` app. ${s.apt}` : \"\"}\n                {u.municipalite ? <span className=\"text-ink-3\"> · {u.municipalite}</span> : null}\n              </h1>\n            )}\n            <p className=\"vp-display mt-3 text-[clamp(44px,7vw,72px)] font-bold leading-none tracking-[-0.04em]\">\n              <CountUp value={r.estimate} format={moneyFmt} />\n            </p>\n            {/* faits rapides */}\n            <div className=\"mt-4 flex flex-wrap gap-2\">\n              {[\n                u ? t(u.typeProp as TKey) : null,\n                u?.aireEtagesM2 && r.estimate > 0\n                  ? `${locNum(Math.round(r.estimate / u.aireEtagesM2), lang, { maxFrac: 0 })} $/m²`\n                  : null,\n                u?.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : null,\n                u?.anneeConstruction ? `${fr ? \"constr.\" : \"built\"} ${u.anneeConstruction}` : null,\n                u?.superficieTerrainM2\n                  ? `${fr ? \"terrain\" : \"lot\"} ${locNum(u.superficieTerrainM2, lang, { unit: \"m²\" })}`\n                  : null,\n              ]\n                .filter((x): x is string => x != null)\n                .map((x) => (\n                  <span\n                    key={x}\n                    className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1 text-[11px] font-bold uppercase tracking-[0.04em]\"\n                  >\n                    {x}\n                  </span>\n                ))}\n            </div>\n            {/* fourchette visuelle P10-P90 avec position du rôle */}\n            <div className=\"mt-6 max-w-2xl\">\n              <p className=\"klabel mb-1\">{t(\"range\")}</p>\n              <RangeBar\n                low={r.low}\n                estimate={r.estimate}\n                high={r.high}\n                role={u?.valeurRole ?? null}\n                lang={lang}\n              />\n            </div>\n            <div className=\"mt-5 flex flex-wrap items-center gap-x-6 gap-y-3\">\n              {u?.valeurRole != null && (\n                <div>\n                  <p className=\"klabel\">{t(\"assessed\")}</p>\n                  <p className=\"vp-display text-[19px] font-bold text-ink-2\">{fmt(u.valeurRole, lang)}</p>\n                </div>\n              )}\n              {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (\n                <div>\n                  <p className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</p>\n                  <p className=\"vp-display text-[19px] font-bold text-green-deep\">\n                    {r.estimate >= u.valeurRole ? \"+\" : \"\"}\n                    {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %\n                  </p>\n                </div>\n              )}\n            </div>\n            {u && (\n              <div className=\"mt-6 flex flex-wrap gap-2.5\">\n                <a\n                  href={`/api/report?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-primary\"\n                  download\n                >\n                  {fr ? \"Rapport PDF\" : \"PDF report\"} ↓\n                </a>\n                <a\n                  href={`/api/report/pro?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-ghost\"\n                  download\n                  title={fr ? \"Structure de rapport d'évaluation — présentation bancaire\" : \"Appraisal-style structure — bank presentation\"}\n                >\n                  {fr ? \"Rapport détaillé format professionnel (banque)\" : \"Detailed professional report (bank)\"} ↓\n                </a>\n              </div>\n            )}\n          </div>\n          <div className=\"shrink-0\">\n            <ConfidenceDial\n              pct={r.confidencePct}\n              level={r.confidenceLevel}\n              label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}\n            />\n          </div>\n        </div>\n        <p className=\"vp-mono mt-5 border-t-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {t(\"disclaimer\")}\n        </p>\n      </section>\n\n      {/* ---- Portrait de la propriété (bento du registre) ---- */}\n      {u && s && (\n        <section>\n          <span className=\"kicker\">{fr ? \"Registre officiel — dessiné par les données\" : \"Official record — drawn by the data\"}</span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {fr ? \"Portrait de la propriété\" : \"Property portrait\"}\n          </h2>\n          <div className=\"mt-4 grid gap-4 lg:grid-cols-3\">\n            {/* Bâtiment */}\n            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"60ms\" }}>\n              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n                {fr ? \"Bâtiment\" : \"Building\"}\n              </p>\n              <div className=\"flex justify-center py-2\">\n                <BuildingGlyph\n                  floors={s.nbEtages}\n                  dwellings={u.nbLogements}\n                  genre={s.genreConstruction}\n                  yearBuilt={u.anneeConstruction}\n                  floorAreaM2={u.aireEtagesM2}\n                  lang={lang}\n                />\n              </div>\n              <EraLine year={u.anneeConstruction} lang={lang} />\n              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n                <Chip k={fr ? \"Aire d'étages\" : \"Floor area\"} v={u.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Étages × logements\" : \"Storeys × dwellings\"} v={`${s.nbEtages ?? \"—\"} × ${u.nbLogements ?? \"—\"}`} />\n                <Chip k={fr ? \"Genre\" : \"Style\"} v={s.genreConstruction ?? \"—\"} />\n                <Chip k={fr ? \"Lien physique\" : \"Physical link\"} v={s.lienPhysique ?? \"—\"} />\n              </div>\n            </div>\n            {/* Terrain */}\n            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"140ms\" }}>\n              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n                {fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}\n              </p>\n              <div className=\"flex justify-center py-2\">\n                <LotDiagram\n                  areaM2={u.superficieTerrainM2}\n                  frontageM={s.frontTerrainM}\n                  footprintM2={\n                    u.aireEtagesM2 && s.nbEtages ? u.aireEtagesM2 / Math.max(1, s.nbEtages) : u.aireEtagesM2\n                  }\n                  lang={lang}\n                  isCondo={!!s.apt || (u.nbLogements != null && u.nbLogements >= 1 && !u.superficieTerrainM2)}\n                />\n              </div>\n              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n                <Chip k={fr ? \"Superficie\" : \"Area\"} v={u.superficieTerrainM2 ? locNum(u.superficieTerrainM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Frontage\" : \"Frontage\"} v={s.frontTerrainM ? locNum(s.frontTerrainM, lang, { unit: \"m\" }) : \"—\"} />\n                <Chip k=\"CUBF\" v={s.cubf ?? \"—\"} />\n                <Chip k={fr ? \"Usage\" : \"Use\"} v={s.cubfLibelle ?? \"—\"} />\n              </div>\n            </div>\n            {/* Valeur au rôle */}\n            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"220ms\" }}>\n              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n                {fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}\n              </p>\n              <p className=\"vp-display py-2 text-[26px] font-bold tracking-[-0.02em]\">\n                {fmt(u.valeurRole, lang)}\n              </p>\n              <ValueSplit\n                land={s.valeurTerrain}\n                building={s.valeurBatiment}\n                previous={s.valeurAnterieure}\n                total={u.valeurRole}\n                lang={lang}\n                labels={{\n                  land: fr ? \"Terrain\" : \"Land\",\n                  building: fr ? \"Bâtiment\" : \"Building\",\n                  previous: fr ? \"Rôle antérieur\" : \"Previous roll\",\n                }}\n              />\n              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n                <Chip k={fr ? \"Cond. marché au\" : \"Market cond.\"} v={s.datCondMarche ?? \"—\"} />\n                <Chip k={fr ? \"Matricule\" : \"Roll no.\"} v={s.matricule ?? \"—\"} />\n              </div>\n            </div>\n          </div>\n          {/* registre brut complet */}\n          <details className=\"vp-card mt-4 p-5\">\n            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n              {fr ? \"▸ Toutes les données du registre (brutes)\" : \"▸ All registry data (raw)\"}\n            </summary>\n            <div className=\"mt-4 grid grid-cols-2 gap-2 sm:grid-cols-4\">\n              <Chip k={fr ? \"Année construction\" : \"Year built\"} v={u.anneeConstruction ? `${u.anneeConstruction}${s.anneeEstimee === \"E\" ? (fr ? \" (estimée)\" : \" (est.)\") : \"\"}` : \"—\"} />\n              <Chip k={fr ? \"Locaux non résid.\" : \"Non-res. units\"} v={s.nbLocauxNonResid ?? \"—\"} />\n              <Chip k={fr ? \"Chambres locatives\" : \"Rental rooms\"} v={s.nbChambresLocatives ?? \"—\"} />\n              <Chip k={fr ? \"Unité de voisinage\" : \"Neighbourhood\"} v={s.uniteVoisinage || \"—\"} />\n              <Chip k={fr ? \"Arrondissement\" : \"Borough\"} v={s.arrond || \"—\"} />\n              <Chip k={fr ? \"Adresses sur l'unité\" : \"Addresses\"} v={s.nAdresses ?? \"—\"} />\n              <Chip k={fr ? \"Valeur terrain\" : \"Land value\"} v={fmt(s.valeurTerrain, lang)} />\n              <Chip k={fr ? \"Valeur bâtiment\" : \"Building value\"} v={fmt(s.valeurBatiment, lang)} />\n              <Chip k={fr ? \"Rôle antérieur\" : \"Previous roll\"} v={fmt(s.valeurAnterieure, lang)} />\n              <Chip k=\"ID provincial\" v={u.id} />\n            </div>\n          </details>\n        </section>\n      )}\n\n      {/* ---- Transparence du calcul ---- */}\n      <section>\n        <span className=\"kicker\">{fr ? \"Transparence\" : \"Transparency\"}</span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {t(\"whyTitle\")}\n        </h2>\n        <div className=\"mt-4 grid gap-4 sm:grid-cols-2\">\n          <div className=\"vp-card vp-card-hover rise p-5\">\n            <p className=\"klabel\">{t(\"modelPart\")}</p>\n            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">\n              {r.modelEstimate != null ? (\n                <CountUp value={r.modelEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">\n              {t(\"weightModel\")} : {(r.modelWeight * 100).toFixed(0)} %\n            </p>\n          </div>\n          <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"100ms\" }}>\n            <p className=\"klabel\">{t(\"compsPart\")}</p>\n            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">\n              {r.compsEstimate != null ? (\n                <CountUp value={r.compsEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">\n              {t(\"weightComps\")} : {((1 - r.modelWeight) * 100).toFixed(0)} % · {r.nCompsUsed} comps\n              {r.compsDispersionPct != null ? ` · ±${r.compsDispersionPct} %` : \"\"}\n            </p>\n          </div>\n        </div>\n      </section>\n\n      {/* ---- Marché local ---- */}\n      {ctx && (ctx.index.length >= 6 || ctx.sector || ctx.muniPercentile != null) && (\n        <section>\n          <span className=\"kicker\">{fr ? \"Contexte de marché\" : \"Market context\"}</span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}\n          </h2>\n          <div className=\"mt-4 grid items-stretch gap-4 lg:grid-cols-[1.35fr_1fr]\">\n            {/* trajectoire du marché */}\n            {ctx.index.length >= 6 && (\n              <div className=\"vp-card rise p-5\">\n                <div className=\"flex flex-wrap items-center justify-between gap-2\">\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Indice de marché — ${t(ctx.typeProp as TKey)} (base 100 en ${ctx.index[0].month.slice(0, 4)})`\n                      : `Market index — ${t(ctx.typeProp as TKey)} (base 100 in ${ctx.index[0].month.slice(0, 4)})`}\n                  </p>\n                  <div className=\"flex gap-2\">\n                    {ctx.index12mPct != null && (\n                      <span className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${ctx.index12mPct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n                        12 {fr ? \"mois\" : \"mo\"} {ctx.index12mPct >= 0 ? \"+\" : \"\"}\n                        {ctx.index12mPct.toFixed(1)} %\n                      </span>\n                    )}\n                    {ctx.indexSince2021Pct != null && (\n                      <span className=\"vp-mono rounded-[4px] border border-ink bg-surface-2 px-1.5 py-0.5 text-[10px] font-bold text-ink-2\">\n                        {ctx.index[0].month.slice(0, 4)}→ {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}\n                        {ctx.indexSince2021Pct.toFixed(0)} %\n                      </span>\n                    )}\n                  </div>\n                </div>\n                <div className=\"mt-3\">\n                  <MarketIndexChart series={ctx.index} lang={lang} />\n                </div>\n                <p className=\"vp-mono mt-2 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n                  {fr\n                    ? \"Indice utilisé pour l'ajustement « marché » des comparables — même donnée, même calcul.\"\n                    : \"Index used for the comparables' market adjustment — same data, same math.\"}\n                </p>\n              </div>\n            )}\n            <div className=\"flex flex-col gap-4\">\n              {/* ventes du secteur */}\n              {ctx.sector && (\n                <div className=\"vp-card rise p-5\" style={{ animationDelay: \"80ms\" }}>\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Ventes réelles — rayon ${ctx.sector.radiusKm} km · 12 mois`\n                      : `Real sales — ${ctx.sector.radiusKm} km radius · 12 months`}\n                  </p>\n                  <div className=\"mt-3 grid grid-cols-3 gap-2\">\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Ventes\" : \"Sales\"}</p>\n                      <p className=\"v\">{ctx.sector.nSales12m}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Prix médian\" : \"Median price\"}</p>\n                      <p className=\"v\">{ctx.sector.medianPrice != null ? fmt(Math.round(ctx.sector.medianPrice), lang) : \"—\"}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">$/m² {fr ? \"médian\" : \"median\"}</p>\n                      <p className=\"v\">\n                        {ctx.sector.medianPpm2 != null\n                          ? locNum(Math.round(ctx.sector.medianPpm2), lang, { maxFrac: 0 })\n                          : \"—\"}\n                      </p>\n                    </div>\n                  </div>\n                  {ctx.sector.medianPrice != null && r.estimate > 0 && (\n                    <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-2\">\n                      {fr ? \"Cette propriété\" : \"This property\"} :{\" \"}\n                      <b className=\"text-ink\">\n                        {r.estimate >= ctx.sector.medianPrice ? \"+\" : \"−\"}\n                        {Math.abs((r.estimate / ctx.sector.medianPrice - 1) * 100).toFixed(0)} %\n                      </b>{\" \"}\n                      {fr ? \"vs médiane du secteur\" : \"vs sector median\"}\n                    </p>\n                  )}\n                </div>\n              )}\n              {/* position dans la municipalité */}\n              {ctx.muniPercentile != null && u?.municipalite && (\n                <div className=\"vp-card rise flex-1 p-5\" style={{ animationDelay: \"160ms\" }}>\n                  <p className=\"klabel\">\n                    {fr ? `Position dans ${u.municipalite}` : `Position in ${u.municipalite}`}\n                  </p>\n                  <div className=\"mt-3\">\n                    <PercentileBar pct={ctx.muniPercentile} lang={lang} />\n                  </div>\n                  <p className=\"mt-3 text-[13px] text-ink-2\">\n                    {fr ? (\n                      <>\n                        Vaut plus que{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> des{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        propriétés estimées de la municipalité.\n                      </>\n                    ) : (\n                      <>\n                        Worth more than{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> of the{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        estimated properties in the municipality.\n                      </>\n                    )}\n                  </p>\n                </div>\n              )}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ---- Historique ---- */}\n      {u && u.history.some((h) => h.value != null) && (\n        <section>\n          <span className=\"kicker\">2021 → 2026</span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {t(\"history\")}\n          </h2>\n          <div className=\"vp-card rise mt-4 p-5 sm:p-6\">\n            <div className=\"flex flex-col gap-2\">\n              {u.history.map((h, i) => {\n                const prev = i > 0 ? u.history[i - 1].value : null;\n                const yoy =\n                  h.value != null && prev != null && prev > 0\n                    ? ((h.value / prev - 1) * 100)\n                    : null;\n                return (\n                  <div key={h.year} className=\"hbar-row grid grid-cols-[44px_1fr_auto] items-center gap-2 sm:grid-cols-[52px_1fr_auto] sm:gap-3\">\n                    <span className=\"vp-mono text-[12px] font-bold\">{h.year}</span>\n                    <span className=\"hbar-track\">\n                      <span\n                        className=\"hbar-fill grow-x\"\n                        style={{\n                          width: `${((h.value ?? 0) / histMax) * 100}%`,\n                          animationDelay: `${i * 90}ms`,\n                          background: h.year === 2026 ? \"var(--ink)\" : undefined,\n                        }}\n                      />\n                    </span>\n                    <span className=\"vp-mono flex items-center justify-end gap-2 text-[12px] font-bold\">\n                      {fmt(h.value, lang)}\n                      {yoy != null && (\n                        <span className={`rounded-[4px] border border-ink px-1 py-px text-[9px] ${yoy >= 0 ? \"bg-lime-soft text-green-deep\" : \"bg-[var(--danger-soft)] text-[var(--danger)]\"}`}>\n                          {yoy >= 0 ? \"+\" : \"\"}\n                          {yoy.toFixed(0)} %\n                        </span>\n                      )}\n                    </span>\n                  </div>\n                );\n              })}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ---- Plan des comparables (carte maison) ---- */}\n      <section>\n        <span className=\"kicker\">\n          {r.nCompsUsed} {fr ? \"ventes réelles\" : \"real sales\"}\n        </span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {t(\"compsTitle\")}\n        </h2>\n        <div className=\"mt-4 grid items-start gap-4 lg:grid-cols-[1.05fr_1fr]\">\n          <div className=\"overflow-hidden rounded-[10px] border-[1.5px] border-ink shadow-[8px_8px_0_rgba(20,24,20,0.08)]\">\n            <RadarMap\n              subject={{\n                lat: u?.lat ?? r.comps[0]?.lat ?? 46.81,\n                lng: u?.lng ?? r.comps[0]?.lng ?? -71.21,\n                label: u?.adresse ?? (fr ? \"Propriété estimée\" : \"Subject property\"),\n              }}\n              comps={r.comps.map((c) => ({\n                id: c.id,\n                lat: c.lat,\n                lng: c.lng,\n                label: `${c.street ?? \"\"}, ${c.city ?? \"\"}`,\n                price: fmt(c.amount, lang),\n                adjusted: fmt(Math.round(c.adjustedPrice), lang),\n                date: c.date,\n                distanceM: c.distanceM,\n                weight: c.weight,\n              }))}\n              highlight={activeComp}\n              onHover={setActiveComp}\n            />\n          </div>\n          <div className=\"src-wrap max-h-[560px] overflow-y-auto\">\n            <table className=\"src-table\">\n              <thead className=\"sticky top-0 z-10\">\n                <tr>\n                  <th>#</th>\n                  <th>{fr ? \"Vente\" : \"Sale\"}</th>\n                  <th className=\"text-right\">{t(\"adjusted\")}</th>\n                </tr>\n              </thead>\n              <tbody>\n                {r.comps.map((c, i) => (\n                  <tr\n                    key={c.id}\n                    onMouseEnter={() => setActiveComp(c.id)}\n                    onMouseLeave={() => setActiveComp(null)}\n                    className={activeComp === c.id ? \"!bg-lime-soft\" : \"\"}\n                  >\n                    <td>\n                      <span\n                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center rounded-full border-[1.5px] border-ink text-[11px] font-bold ${\n                          activeComp === c.id ? \"bg-lime text-ink\" : \"bg-green text-paper\"\n                        }`}\n                      >\n                        {i + 1}\n                      </span>\n                    </td>\n                    <td>\n                      <p className=\"font-semibold leading-tight\">\n                        {c.street}, {c.city}\n                      </p>\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                        {c.date} · {c.distanceM < 1000 ? `${Math.round(c.distanceM)} m` : `${(c.distanceM / 1000).toFixed(1)} km`} ·{\" \"}\n                        {t(\"sold\")} {fmt(c.amount, lang)}\n                        {c.floorArea && c.floorArea > 20\n                          ? ` (${locNum(Math.round(c.amount / c.floorArea), lang, { maxFrac: 0 })} $/m²)`\n                          : \"\"}\n                      </p>\n                      {(c.floorArea || c.yearBuilt) && (\n                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                          {[\n                            c.floorArea ? locNum(c.floorArea, lang, { unit: \"m²\" }) : null,\n                            c.yearBuilt ? `${fr ? \"constr.\" : \"built\"} ${c.yearBuilt}` : null,\n                          ]\n                            .filter(Boolean)\n                            .join(\" · \")}\n                        </p>\n                      )}\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] text-ink-2\">\n                        {t(\"adjTime\")} {signed(c.adjTime, lang)} · {t(\"adjArea\")} {signed(c.adjArea, lang)} ·{\" \"}\n                        {t(\"adjAge\")} {signed(c.adjAge, lang)}\n                      </p>\n                    </td>\n                    <td className=\"vp-display text-right font-bold\">\n                      {fmt(Math.round(c.adjustedPrice), lang)}\n                      <p className=\"vp-mono text-[10px] font-normal text-ink-3\">\n                        {t(\"weight\")} {(c.weight * 100).toFixed(0)} %\n                      </p>\n                    </td>\n                  </tr>\n                ))}\n              </tbody>\n            </table>\n          </div>\n        </div>\n      </section>\n\n      {/* ---- Lead ---- */}\n      <section className=\"rounded-[10px] border-[1.5px] border-ink bg-ink p-6 text-paper shadow-[8px_8px_0_rgba(20,24,20,0.2)] sm:p-8\">\n        <h2 className=\"vp-display text-[22px] font-bold uppercase tracking-[-0.02em] text-lime\">\n          {t(\"leadTitle\")}\n        </h2>\n        <div className=\"mt-4 max-w-xl\">\n          <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />\n        </div>\n      </section>\n    </div>\n  );\n}\n","numLines":594,"startLine":1,"totalLines":594}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QGCu6McxmaJ1yMaF9VR8qq","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t/**\n3\t * MetricViz — visualisations signature générées par les données du registre.\n4\t * Chaque propriété produit ses propres dessins : façade SVG (étages, logements,\n5\t * genre de construction), schéma de terrain à l'échelle (frontage × profondeur),\n6\t * composition de valeur terrain/bâtiment, jauge de confiance, sparkline 2021-2026,\n7\t * compteurs animés. SVG pur, palette encre/lime, aucun aléatoire : mêmes données,\n8\t * même dessin.\n9\t */\n10\t\"use client\";\n11\timport { useEffect, useState } from \"react\";\n12\t\n13\t/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\n14\texport function locNum(\n15\t  v: number | null | undefined,\n16\t  lang: string,\n17\t  opts?: { unit?: string; maxFrac?: number }\n18\t): string {\n19\t  if (v == null) return \"—\";\n20\t  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n21\t    maximumFractionDigits: opts?.maxFrac ?? 1,\n22\t  });\n23\t  return opts?.unit ? `${s} ${opts.unit}` : s;\n24\t}\n25\t\n26\t/* ---------------------------- compteur animé ---------------------------- */\n27\t/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\n28\texport function CountUp({\n29\t  value,\n30\t  format,\n31\t  duration = 900,\n32\t}: {\n33\t  value: number;\n34\t  format: (v: number) => string;\n35\t  duration?: number;\n36\t}) {\n37\t  const [display, setDisplay] = useState(value);\n38\t\n39\t  useEffect(() => {\n40\t    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n41\t    let raf = 0;\n42\t    const t0 = performance.now();\n43\t    const tick = (t: number) => {\n44\t      const p = Math.min(1, (t - t0) / duration);\n45\t      const eased = 1 - Math.pow(1 - p, 3);\n46\t      setDisplay(value * eased);\n47\t      if (p < 1) raf = requestAnimationFrame(tick);\n48\t    };\n49\t    raf = requestAnimationFrame(tick);\n50\t    return () => cancelAnimationFrame(raf);\n51\t  }, [value, duration]);\n52\t\n53\t  return <span>{format(display)}</span>;\n54\t}\n55\t\n56\t/* --------------------------- jauge de confiance --------------------------- */\n57\texport function ConfidenceDial({\n58\t  pct,\n59\t  level,\n60\t  label,\n61\t}: {\n62\t  pct: number;\n63\t  level: \"A\" | \"B\" | \"C\" | \"D\";\n64\t  label: string;\n65\t}) {\n66\t  const [mounted, setMounted] = useState(false);\n67\t  useEffect(() => {\n68\t    const id = setTimeout(() => setMounted(true), 60);\n69\t    return () => clearTimeout(id);\n70\t  }, []);\n71\t  const R = 52;\n72\t  const CIRC = Math.PI * R; // demi-cercle\n73\t  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n74\t  const color =\n75\t    level === \"A\" ? \"var(--lime)\" : level === \"B\" ? \"var(--green)\" : level === \"C\" ? \"var(--amber)\" : \"var(--danger)\";\n76\t  return (\n77\t    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n78\t      <svg viewBox=\"0 0 128 78\" className=\"w-[128px]\">\n79\t        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--surface-2)\" strokeWidth=\"12\" strokeLinecap=\"round\" />\n80\t        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"rgba(20,24,20,0.85)\" strokeWidth=\"13.5\" strokeLinecap=\"round\" opacity=\"0.12\" />\n81\t        <path\n82\t          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n83\t          fill=\"none\"\n84\t          stroke={color}\n85\t          strokeWidth=\"12\"\n86\t          strokeLinecap=\"round\"\n87\t          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n88\t          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n89\t        />\n90\t        {/* graduations */}\n91\t        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n92\t          const a = Math.PI * (1 - g);\n93\t          const x1 = 64 + Math.cos(a) * 40;\n94\t          const y1 = 66 - Math.sin(a) * 40;\n95\t          const x2 = 64 + Math.cos(a) * 45;\n96\t          const y2 = 66 - Math.sin(a) * 45;\n97\t          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1.4\" opacity=\"0.5\" />;\n98\t        })}\n99\t        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"26\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n100\t          {level}\n101\t        </text>\n102\t        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"700\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n103\t          {pct} %\n104\t        </text>\n105\t      </svg>\n106\t      <p className=\"klabel mt-1 text-center\">{label}</p>\n107\t    </div>\n108\t  );\n109\t}\n110\t\n111\t/* --------------------------- façade de bâtiment --------------------------- */\n112\t/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\n113\tfunction VacantGlyph({ lang }: { lang: string }) {\n114\t  const tree = (x: number, sc: number) => (\n115\t    <g transform={`translate(${x}, 128) scale(${sc})`}>\n116\t      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n117\t      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n118\t    </g>\n119\t  );\n120\t  return (\n121\t    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n122\t      {tree(52, 1)}\n123\t      {tree(96, 0.72)}\n124\t      {tree(134, 0.9)}\n125\t      {/* borne d'arpenteur */}\n126\t      <g transform=\"translate(24, 128)\">\n127\t        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n128\t        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n129\t      </g>\n130\t      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n131\t      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n132\t        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n133\t      </text>\n134\t    </svg>\n135\t  );\n136\t}\n137\t\n138\t/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n139\t *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\n140\texport function BuildingGlyph({\n141\t  floors,\n142\t  dwellings,\n143\t  genre,\n144\t  yearBuilt,\n145\t  floorAreaM2,\n146\t  lang = \"fr\",\n147\t}: {\n148\t  floors: number | null;\n149\t  dwellings: number | null;\n150\t  genre: string | null;\n151\t  yearBuilt: number | null;\n152\t  floorAreaM2?: number | null;\n153\t  lang?: string;\n154\t}) {\n155\t  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n156\t    return <VacantGlyph lang={lang} />;\n157\t  }\n158\t  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n159\t  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n160\t  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n161\t  const W = 190;\n162\t  const bw = 64 + winPerFloor * 18;\n163\t  const bx = (W - bw) / 2;\n164\t  const fh = 24;\n165\t  const groundY = 128;\n166\t  const bodyTop = groundY - nF * fh;\n167\t  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n168\t  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n169\t\n170\t  const windows: React.ReactNode[] = [];\n171\t  for (let f = 0; f < nF; f++) {\n172\t    for (let wi = 0; wi < winPerFloor; wi++) {\n173\t      const idx = f * winPerFloor + wi;\n174\t      windows.push(\n175\t        <rect\n176\t          key={`${f}-${wi}`}\n177\t          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n178\t          y={bodyTop + f * fh + 6}\n179\t          width=\"12\"\n180\t          height=\"11\"\n181\t          fill={idx < nD ? \"var(--lime)\" : \"var(--surface-2)\"}\n182\t          stroke=\"var(--ink)\"\n183\t          strokeWidth=\"1.2\"\n184\t          className=\"vv-win\"\n185\t          style={{ animationDelay: `${idx * 60}ms` }}\n186\t        />\n187\t      );\n188\t    }\n189\t  }\n190\t\n191\t  return (\n192\t    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n193\t      {/* soleil-repère */}\n194\t      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />\n195\t      <circle cx={W - 22} cy=\"22\" r=\"3.5\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1\" />\n196\t      {/* ombre décalée signature */}\n197\t      <rect x={bx + 5} y={bodyTop + 5} width={bw} height={nF * fh} fill=\"rgba(20,24,20,0.12)\" />\n198\t      {/* corps */}\n199\t      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />\n200\t      {/* séparations d'étages */}\n201\t      {Array.from({ length: nF - 1 }, (_, i) => (\n202\t        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"1\" strokeDasharray=\"3 3\" opacity=\"0.4\" />\n203\t      ))}\n204\t      {/* toit */}\n205\t      {flat ? (\n206\t        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n207\t      ) : mansard ? (\n208\t        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n209\t      ) : (\n210\t        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n211\t      )}\n212\t      {/* cheminée */}\n213\t      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"9\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n214\t      {windows}\n215\t      {/* porte */}\n216\t      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n217\t      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--lime)\" />\n218\t      {/* sol */}\n219\t      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n220\t      <line x1=\"8\" y1={groundY + 4} x2={W - 8} y2={groundY + 4} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.3\" />\n221\t      {/* millésime gravé */}\n222\t      {yearBuilt && (\n223\t        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n224\t          ANNO {yearBuilt}\n225\t        </text>\n226\t      )}\n227\t    </svg>\n228\t  );\n229\t}\n230\t\n231\t/* ----------------------------- schéma du terrain ----------------------------- */\n232\t/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\n233\texport function LotDiagram({\n234\t  areaM2,\n235\t  frontageM,\n236\t  footprintM2,\n237\t  lang,\n238\t  isCondo,\n239\t}: {\n240\t  areaM2: number | null;\n241\t  frontageM: number | null;\n242\t  footprintM2: number | null;\n243\t  lang: string;\n244\t  isCondo?: boolean;\n245\t}) {\n246\t  if (!areaM2 || areaM2 <= 0) {\n247\t    return (\n248\t      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n249\t        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" strokeDasharray=\"5 5\" rx=\"6\" />\n250\t        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n251\t        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n252\t          {isCondo\n253\t            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n254\t            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n255\t        </text>\n256\t        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n257\t          {isCondo\n258\t            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n259\t            : \"—\"}\n260\t        </text>\n261\t      </svg>\n262\t    );\n263\t  }\n264\t  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n265\t  const depth = areaM2 / front;\n266\t  const ratio = Math.max(0.25, Math.min(4, depth / front));\n267\t  const maxW = 150;\n268\t  const maxH = 108;\n269\t  let w = maxW;\n270\t  let h = w * ratio;\n271\t  if (h > maxH) {\n272\t    h = maxH;\n273\t    w = h / ratio;\n274\t  }\n275\t  const x = (190 - w) / 2;\n276\t  const y = 118 - h;\n277\t  // empreinte du bâtiment, à l'échelle de la superficie\n278\t  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n279\t  const fw = w * Math.sqrt(fpFrac) * 0.9;\n280\t  const fh = h * Math.sqrt(fpFrac) * 0.9;\n281\t  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n282\t\n283\t  return (\n284\t    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n285\t      <defs>\n286\t        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n287\t          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--green)\" strokeWidth=\"1\" opacity=\"0.35\" />\n288\t        </pattern>\n289\t      </defs>\n290\t      {/* ombre + parcelle */}\n291\t      <rect x={x + 4} y={y + 4} width={w} height={h} fill=\"rgba(20,24,20,0.12)\" />\n292\t      <rect x={x} y={y} width={w} height={h} fill=\"var(--lime-soft)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />\n293\t      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n294\t      {/* empreinte bâtiment */}\n295\t      {fpFrac > 0.005 && (\n296\t        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\" rx=\"2\">\n297\t          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n298\t        </rect>\n299\t      )}\n300\t      {/* cotes : frontage */}\n301\t      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n302\t      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n303\t      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n304\t      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n305\t        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n306\t      </text>\n307\t      {/* cotes : profondeur */}\n308\t      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n309\t      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n310\t      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n311\t      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n312\t        ≈ {fmtM(depth)}\n313\t      </text>\n314\t      {/* rue */}\n315\t      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n316\t      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n317\t        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n318\t      </text>\n319\t    </svg>\n320\t  );\n321\t}\n322\t\n323\t/* ------------------------- composition de la valeur ------------------------- */\n324\texport function ValueSplit({\n325\t  land,\n326\t  building,\n327\t  previous,\n328\t  total,\n329\t  lang,\n330\t  labels,\n331\t}: {\n332\t  land: number | null;\n333\t  building: number | null;\n334\t  previous: number | null;\n335\t  total: number | null;\n336\t  lang: string;\n337\t  labels: { land: string; building: string; previous: string };\n338\t}) {\n339\t  const [on, setOn] = useState(false);\n340\t  useEffect(() => {\n341\t    const id = setTimeout(() => setOn(true), 80);\n342\t    return () => clearTimeout(id);\n343\t  }, []);\n344\t  const l = land ?? 0;\n345\t  const b = building ?? 0;\n346\t  const sum = l + b;\n347\t  if (sum <= 0) return null;\n348\t  const lPct = (l / sum) * 100;\n349\t  const fmt = (v: number) =>\n350\t    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n351\t  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n352\t  return (\n353\t    <div>\n354\t      <div className=\"flex h-9 w-full overflow-hidden rounded-md border-[1.5px] border-ink\">\n355\t        {lPct >= 1 && (\n356\t          <div\n357\t            className=\"flex items-center justify-center overflow-hidden bg-green transition-[width] duration-1000 ease-out\"\n358\t            style={{ width: on ? `${lPct}%` : \"2%\" }}\n359\t          >\n360\t            {lPct >= 14 && (\n361\t              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(lPct)} %</span>\n362\t            )}\n363\t          </div>\n364\t        )}\n365\t        {lPct <= 99 && (\n366\t          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n367\t            {100 - lPct >= 14 && (\n368\t              <span className=\"vp-mono px-1 text-[10px] font-bold text-lime\">{Math.round(100 - lPct)} %</span>\n369\t            )}\n370\t          </div>\n371\t        )}\n372\t      </div>\n373\t      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n374\t        <span className=\"flex items-center gap-1.5 text-ink-2\">\n375\t          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-green\" />\n376\t          {labels.land} {fmt(l)}\n377\t        </span>\n378\t        <span className=\"flex items-center gap-1.5 text-ink-2\">\n379\t          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-ink\" />\n380\t          {labels.building} {fmt(b)}\n381\t        </span>\n382\t      </div>\n383\t      {delta != null && (\n384\t        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n385\t          {labels.previous} {fmt(previous!)}{\" \"}\n386\t          <span className={`ml-1 rounded-[4px] border border-ink px-1.5 py-0.5 font-bold ${delta >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n387\t            {delta >= 0 ? \"+\" : \"\"}\n388\t            {delta.toFixed(1)} %\n389\t          </span>\n390\t        </p>\n391\t      )}\n392\t    </div>\n393\t  );\n394\t}\n395\t\n396\t/* -------------------------------- sparkline -------------------------------- */\n397\texport function Sparkline({\n398\t  history,\n399\t  height = 44,\n400\t}: {\n401\t  history: { year: number; value: number | null }[];\n402\t  height?: number;\n403\t}) {\n404\t  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n405\t  if (pts.length < 2) return null;\n406\t  const W = 132;\n407\t  const min = Math.min(...pts.map((p) => p.value));\n408\t  const max = Math.max(...pts.map((p) => p.value));\n409\t  const span = max - min || 1;\n410\t  const xy = pts.map((p, i) => [\n411\t    6 + (i / (pts.length - 1)) * (W - 12),\n412\t    height - 8 - ((p.value - min) / span) * (height - 18),\n413\t  ]);\n414\t  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n415\t  const area = `${xy[0][0]},${height - 4} ${line} ${xy[xy.length - 1][0]},${height - 4}`;\n416\t  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n417\t  const [x2, y2] = xy[xy.length - 1];\n418\t  return (\n419\t    <div className=\"flex items-end gap-2\">\n420\t      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n421\t        <polygon points={area} fill=\"var(--lime-soft)\" />\n422\t        <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n423\t        {xy.slice(0, -1).map(([x, y], i) => (\n424\t          <circle key={i} cx={x} cy={y} r=\"2\" fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.1\" />\n425\t        ))}\n426\t        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />\n427\t      </svg>\n428\t      <span className={`vp-mono mb-0.5 rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${growth >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n429\t        {growth >= 0 ? \"+\" : \"\"}\n430\t        {growth.toFixed(0)} %\n431\t      </span>\n432\t    </div>\n433\t  );\n434\t}\n435\t\n436\t/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n437\t/** Barre de fourchette : segment P10→P90, losange = estimation, tiret = rôle. */\n438\texport function RangeBar({\n439\t  low,\n440\t  estimate,\n441\t  high,\n442\t  role,\n443\t  lang,\n444\t}: {\n445\t  low: number;\n446\t  estimate: number;\n447\t  high: number;\n448\t  role: number | null;\n449\t  lang: string;\n450\t}) {\n451\t  const [on, setOn] = useState(false);\n452\t  useEffect(() => {\n453\t    const id = setTimeout(() => setOn(true), 80);\n454\t    return () => clearTimeout(id);\n455\t  }, []);\n456\t  if (!(high > low) || !Number.isFinite(estimate)) return null;\n457\t  const lo = Math.min(low, role ?? low);\n458\t  const hi = Math.max(high, role ?? high);\n459\t  const pad = (hi - lo) * 0.09 || hi * 0.05;\n460\t  const min = lo - pad;\n461\t  const max = hi + pad;\n462\t  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n463\t  // les étiquettes (centrées, nowrap) restent dans la carte même aux extrêmes\n464\t  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n465\t  const fmt = (v: number) =>\n466\t    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n467\t      style: \"currency\",\n468\t      currency: \"CAD\",\n469\t      maximumFractionDigits: 0,\n470\t      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n471\t    }).format(v);\n472\t  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n473\t  const roleClose =\n474\t    role != null &&\n475\t    (Math.abs(X(role) - X(estimate)) < 9 ||\n476\t      Math.abs(X(role) - X(low)) < 15 ||\n477\t      Math.abs(X(role) - X(high)) < 15);\n478\t  return (\n479\t    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n480\t      <div className=\"relative h-[64px]\">\n481\t        {/* étiquette estimation */}\n482\t        <div\n483\t          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n484\t          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n485\t        >\n486\t          <span className=\"vp-mono rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\">\n487\t            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n488\t          </span>\n489\t        </div>\n490\t        {/* piste */}\n491\t        <div className=\"absolute left-0 right-0 top-[30px] h-[14px] rounded-[7px] border-[1.5px] border-ink bg-surface-2\" />\n492\t        {/* segment P10-P90 */}\n493\t        <div\n494\t          className=\"absolute top-[30px] h-[14px] origin-left rounded-[7px] border-[1.5px] border-ink transition-transform duration-1000 ease-out\"\n495\t          style={{\n496\t            left: `${X(low)}%`,\n497\t            width: `${Math.max(2, X(high) - X(low))}%`,\n498\t            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n499\t            background:\n500\t              \"repeating-linear-gradient(-45deg, var(--lime-soft), var(--lime-soft) 5px, rgba(255,81,72,0.35) 5px, rgba(255,81,72,0.35) 7px)\",\n501\t          }}\n502\t        />\n503\t        {/* marqueur estimation (losange) */}\n504\t        <div\n505\t          className=\"absolute top-[29px] -translate-x-1/2 transition-[left] duration-700 ease-out\"\n506\t          style={{ left: `${on ? X(estimate) : 50}%` }}\n507\t        >\n508\t          <div className=\"h-[16px] w-[16px] rotate-45 border-[1.8px] border-ink bg-lime\" />\n509\t        </div>\n510\t        {/* marqueur rôle */}\n511\t        {role != null && role > 0 && (\n512\t          <>\n513\t            <div\n514\t              className=\"absolute top-[22px] h-[30px] w-0 -translate-x-1/2 border-l-[2px] border-dashed border-ink opacity-70\"\n515\t              style={{ left: `${X(role)}%` }}\n516\t            />\n517\t            {!roleClose && (\n518\t              <span\n519\t                className=\"vp-mono absolute top-[52px] -translate-x-1/2 whitespace-nowrap text-[9px] font-bold uppercase tracking-[0.06em] text-ink-2\"\n520\t                style={{ left: `${clampX(role, 11, 89)}%` }}\n521\t              >\n522\t                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n523\t              </span>\n524\t            )}\n525\t          </>\n526\t        )}\n527\t        {/* bornes */}\n528\t        <span\n529\t          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"\n530\t          style={{ left: `${clampX(low, 11, 89)}%` }}\n531\t        >\n532\t          P10 {fmt(low)}\n533\t        </span>\n534\t        <span\n535\t          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"\n536\t          style={{ left: `${clampX(high, 11, 89)}%` }}\n537\t        >\n538\t          P90 {fmt(high)}\n539\t        </span>\n540\t      </div>\n541\t    </div>\n542\t  );\n543\t}\n544\t\n545\t/* --------------------------- courbe d'indice de marché --------------------------- */\n546\t/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\n547\texport function MarketIndexChart({\n548\t  series,\n549\t  lang,\n550\t}: {\n551\t  series: { month: string; idx: number }[];\n552\t  lang: string;\n553\t}) {\n554\t  if (series.length < 6) return null;\n555\t  const base = series[0].idx || 1;\n556\t  const pts = series.map((p) => (p.idx / base) * 100);\n557\t  const W = 640;\n558\t  const H = 200;\n559\t  const padL = 40;\n560\t  const padR = 52;\n561\t  const padT = 18;\n562\t  const padB = 28;\n563\t  const min = Math.min(...pts);\n564\t  const max = Math.max(...pts);\n565\t  const span = max - min || 1;\n566\t  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n567\t  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n568\t  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n569\t  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n570\t  // graduations : janvier de chaque année\n571\t  const years = series\n572\t    .map((p, i) => ({ i, month: p.month }))\n573\t    .filter((p) => p.month.endsWith(\"-01\"));\n574\t  // lignes horizontales : min / 100 / max arrondis\n575\t  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n576\t    (v) => v >= min - 1 && v <= max + 1\n577\t  );\n578\t  const lastV = pts[pts.length - 1];\n579\t  return (\n580\t    <svg\n581\t      viewBox={`0 0 ${W} ${H}`}\n582\t      className=\"h-auto w-full\"\n583\t      role=\"img\"\n584\t      aria-label={\n585\t        lang === \"fr\"\n586\t          ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n587\t          : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n588\t      }\n589\t    >\n590\t      {gridVals.map((v) => (\n591\t        <g key={v}>\n592\t          <line\n593\t            x1={padL}\n594\t            y1={y(v)}\n595\t            x2={W - padR}\n596\t            y2={y(v)}\n597\t            stroke=\"var(--ink)\"\n598\t            strokeWidth=\"1\"\n599\t            strokeDasharray=\"3 5\"\n600\t            opacity={v === 100 ? 0.45 : 0.18}\n601\t          />\n602\t          <text\n603\t            x={padL - 6}\n604\t            y={y(v) + 3.5}\n605\t            textAnchor=\"end\"\n606\t            fontSize=\"10\"\n607\t            fontFamily=\"var(--font-jetbrains)\"\n608\t            fill=\"var(--ink-3)\"\n609\t          >\n610\t            {v}\n611\t          </text>\n612\t        </g>\n613\t      ))}\n614\t      {years.map((p) => (\n615\t        <g key={p.month}>\n616\t          <line\n617\t            x1={x(p.i)}\n618\t            y1={padT}\n619\t            x2={x(p.i)}\n620\t            y2={H - padB}\n621\t            stroke=\"var(--ink)\"\n622\t            strokeWidth=\"1\"\n623\t            opacity=\"0.1\"\n624\t          />\n625\t          <text\n626\t            x={x(p.i)}\n627\t            y={H - 10}\n628\t            textAnchor=\"middle\"\n629\t            fontSize=\"10\"\n630\t            fontWeight=\"700\"\n631\t            fontFamily=\"var(--font-jetbrains)\"\n632\t            fill=\"var(--ink-2)\"\n633\t          >\n634\t            {p.month.slice(0, 4)}\n635\t          </text>\n636\t        </g>\n637\t      ))}\n638\t      <polygon points={area} fill=\"var(--lime-soft)\" opacity=\"0.8\" />\n639\t      <polyline\n640\t        points={line}\n641\t        fill=\"none\"\n642\t        stroke=\"var(--green)\"\n643\t        strokeWidth=\"2.6\"\n644\t        strokeLinejoin=\"round\"\n645\t        strokeLinecap=\"round\"\n646\t      />\n647\t      <circle\n648\t        cx={x(pts.length - 1)}\n649\t        cy={y(lastV)}\n650\t        r=\"5\"\n651\t        fill=\"var(--lime)\"\n652\t        stroke=\"var(--ink)\"\n653\t        strokeWidth=\"1.8\"\n654\t      />\n655\t      <text\n656\t        x={x(pts.length - 1) + 9}\n657\t        y={y(lastV) + 4}\n658\t        fontSize=\"11.5\"\n659\t        fontWeight=\"700\"\n660\t        fontFamily=\"var(--font-jetbrains)\"\n661\t        fill=\"var(--ink)\"\n662\t      >\n663\t        {Math.round(lastV)}\n664\t      </text>\n665\t    </svg>\n666\t  );\n667\t}\n668\t\n669\t/* ----------------------- position dans la municipalité ----------------------- */\n670\t/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\n671\texport function PercentileBar({\n672\t  pct,\n673\t  lang,\n674\t}: {\n675\t  pct: number;\n676\t  lang: string;\n677\t}) {\n678\t  const N = 36;\n679\t  const bars = Array.from({ length: N }, (_, i) => {\n680\t    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n681\t    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n682\t  });\n683\t  const maxB = Math.max(...bars);\n684\t  const p = Math.max(0, Math.min(100, pct));\n685\t  return (\n686\t    <div aria-label={`${Math.round(p)} %`}>\n687\t      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n688\t        {bars.map((b, i) => {\n689\t          const filled = (i + 0.5) / N <= p / 100;\n690\t          return (\n691\t            <div\n692\t              key={i}\n693\t              className=\"min-w-0 flex-1 rounded-t-[2px] border border-ink transition-colors\"\n694\t              style={{\n695\t                height: `${8 + (b / maxB) * 88}%`,\n696\t                background: filled ? \"var(--lime)\" : \"var(--surface-2)\",\n697\t                borderWidth: \"1px\",\n698\t                opacity: filled ? 1 : 0.55,\n699\t              }}\n700\t            />\n701\t          );\n702\t        })}\n703\t        <div\n704\t          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-ink\"\n705\t          style={{ left: `${p}%` }}\n706\t        >\n707\t          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n708\t            {lang === \"fr\" ? \"P\" : \"P\"}\n709\t            {Math.round(p)}\n710\t          </span>\n711\t        </div>\n712\t      </div>\n713\t    </div>\n714\t  );\n715\t}\n716\t\n717\t/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\n718\texport function IndexSpark({\n719\t  series,\n720\t  width = 150,\n721\t  height = 46,\n722\t}: {\n723\t  series: { month: string; idx: number }[];\n724\t  width?: number;\n725\t  height?: number;\n726\t}) {\n727\t  if (series.length < 2) return null;\n728\t  const base = series[0].idx || 1;\n729\t  const pts = series.map((p) => (p.idx / base) * 100);\n730\t  const min = Math.min(...pts);\n731\t  const max = Math.max(...pts);\n732\t  const span = max - min || 1;\n733\t  const xy = pts.map((v, i) => [\n734\t    4 + (i / (pts.length - 1)) * (width - 8),\n735\t    height - 6 - ((v - min) / span) * (height - 14),\n736\t  ]);\n737\t  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n738\t  const area = `${xy[0][0]},${height - 3} ${line} ${xy[xy.length - 1][0]},${height - 3}`;\n739\t  const [lx, ly] = xy[xy.length - 1];\n740\t  return (\n741\t    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n742\t      <polygon points={area} fill=\"var(--lime-soft)\" />\n743\t      <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n744\t      <circle cx={lx} cy={ly} r=\"3.4\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n745\t    </svg>\n746\t  );\n747\t}\n748\t\n749\t/* ------------------------------ frise temporelle ------------------------------ */\n750\texport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n751\t  if (!year || year < 1750) return null;\n752\t  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n753\t  const max = 2026;\n754\t  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n755\t  const W = 190;\n756\t  const x = 12 + frac * (W - 24);\n757\t  const age = 2026 - year;\n758\t  return (\n759\t    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n760\t      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n761\t      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n762\t        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n763\t        return (\n764\t          <g key={yr}>\n765\t            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" opacity=\"0.5\" />\n766\t            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n767\t              {yr}\n768\t            </text>\n769\t          </g>\n770\t        );\n771\t      })}\n772\t      <g transform={`translate(${x}, 24)`}>\n773\t        <rect x=\"-7\" y=\"-7\" width=\"14\" height=\"14\" transform=\"rotate(45)\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n774\t        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n775\t          {year}\n776\t        </text>\n777\t      </g>\n778\t      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n779\t        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n780\t      </text>\n781\t    </svg>\n782\t  );\n783\t}\n784\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"67d7cf99-96d0-4888-84bd-0df89216640c","timestamp":"2026-08-25T21:01:50.424Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Chaque propriété produit ses propres dessins : façade SVG (étages, logements,\n * genre de construction), schéma de terrain à l'échelle (frontage × profondeur),\n * composition de valeur terrain/bâtiment, jauge de confiance, sparkline 2021-2026,\n * compteurs animés. SVG pur, palette encre/lime, aucun aléatoire : mêmes données,\n * même dessin.\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" ? \"var(--lime)\" : level === \"B\" ? \"var(--green)\" : level === \"C\" ? \"var(--amber)\" : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[128px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--surface-2)\" strokeWidth=\"12\" strokeLinecap=\"round\" />\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"rgba(20,24,20,0.85)\" strokeWidth=\"13.5\" strokeLinecap=\"round\" opacity=\"0.12\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"12\"\n          strokeLinecap=\"round\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 40;\n          const y1 = 66 - Math.sin(a) * 40;\n          const x2 = 64 + Math.cos(a) * 45;\n          const y2 = 66 - Math.sin(a) * 45;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1.4\" opacity=\"0.5\" />;\n        })}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"26\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"700\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--lime)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1.2\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3.5\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      {/* ombre décalée signature */}\n      <rect x={bx + 5} y={bodyTop + 5} width={bw} height={nF * fh} fill=\"rgba(20,24,20,0.12)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"1\" strokeDasharray=\"3 3\" opacity=\"0.4\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"9\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--lime)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n      <line x1=\"8\" y1={groundY + 4} x2={W - 8} y2={groundY + 4} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.3\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" strokeDasharray=\"5 5\" rx=\"6\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--green)\" strokeWidth=\"1\" opacity=\"0.35\" />\n        </pattern>\n      </defs>\n      {/* ombre + parcelle */}\n      <rect x={x + 4} y={y + 4} width={w} height={h} fill=\"rgba(20,24,20,0.12)\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--lime-soft)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\" rx=\"2\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      <div className=\"flex h-9 w-full overflow-hidden rounded-md border-[1.5px] border-ink\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-green transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-lime\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-green\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <span className={`ml-1 rounded-[4px] border border-ink px-1.5 py-0.5 font-bold ${delta >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </span>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const area = `${xy[0][0]},${height - 4} ${line} ${xy[xy.length - 1][0]},${height - 4}`;\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polygon points={area} fill=\"var(--lime-soft)\" />\n        <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        {xy.slice(0, -1).map(([x, y], i) => (\n          <circle key={i} cx={x} cy={y} r=\"2\" fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.1\" />\n        ))}\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${growth >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la carte même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[64px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste */}\n        <div className=\"absolute left-0 right-0 top-[30px] h-[14px] rounded-[7px] border-[1.5px] border-ink bg-surface-2\" />\n        {/* segment P10-P90 */}\n        <div\n          className=\"absolute top-[30px] h-[14px] origin-left rounded-[7px] border-[1.5px] border-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n            background:\n              \"repeating-linear-gradient(-45deg, var(--lime-soft), var(--lime-soft) 5px, rgba(255,81,72,0.35) 5px, rgba(255,81,72,0.35) 7px)\",\n          }}\n        />\n        {/* marqueur estimation (losange) */}\n        <div\n          className=\"absolute top-[29px] -translate-x-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[16px] w-[16px] rotate-45 border-[1.8px] border-ink bg-lime\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[22px] h-[30px] w-0 -translate-x-1/2 border-l-[2px] border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[52px] -translate-x-1/2 whitespace-nowrap text-[9px] font-bold uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 40;\n  const padR = 52;\n  const padT = 18;\n  const padB = 28;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  // lignes horizontales : min / 100 / max arrondis\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n  return (\n    <svg\n      viewBox={`0 0 ${W} ${H}`}\n      className=\"h-auto w-full\"\n      role=\"img\"\n      aria-label={\n        lang === \"fr\"\n          ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n          : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n      }\n    >\n      {gridVals.map((v) => (\n        <g key={v}>\n          <line\n            x1={padL}\n            y1={y(v)}\n            x2={W - padR}\n            y2={y(v)}\n            stroke=\"var(--ink)\"\n            strokeWidth=\"1\"\n            strokeDasharray=\"3 5\"\n            opacity={v === 100 ? 0.45 : 0.18}\n          />\n          <text\n            x={padL - 6}\n            y={y(v) + 3.5}\n            textAnchor=\"end\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {v}\n          </text>\n        </g>\n      ))}\n      {years.map((p) => (\n        <g key={p.month}>\n          <line\n            x1={x(p.i)}\n            y1={padT}\n            x2={x(p.i)}\n            y2={H - padB}\n            stroke=\"var(--ink)\"\n            strokeWidth=\"1\"\n            opacity=\"0.1\"\n          />\n          <text\n            x={x(p.i)}\n            y={H - 10}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontWeight=\"700\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-2)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        </g>\n      ))}\n      <polygon points={area} fill=\"var(--lime-soft)\" opacity=\"0.8\" />\n      <polyline\n        points={line}\n        fill=\"none\"\n        stroke=\"var(--green)\"\n        strokeWidth=\"2.6\"\n        strokeLinejoin=\"round\"\n        strokeLinecap=\"round\"\n      />\n      <circle\n        cx={x(pts.length - 1)}\n        cy={y(lastV)}\n        r=\"5\"\n        fill=\"var(--lime)\"\n        stroke=\"var(--ink)\"\n        strokeWidth=\"1.8\"\n      />\n      <text\n        x={x(pts.length - 1) + 9}\n        y={y(lastV) + 4}\n        fontSize=\"11.5\"\n        fontWeight=\"700\"\n        fontFamily=\"var(--font-jetbrains)\"\n        fill=\"var(--ink)\"\n      >\n        {Math.round(lastV)}\n      </text>\n    </svg>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 rounded-t-[2px] border border-ink transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--lime)\" : \"var(--surface-2)\",\n                borderWidth: \"1px\",\n                opacity: filled ? 1 : 0.55,\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-ink\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            {lang === \"fr\" ? \"P\" : \"P\"}\n            {Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const area = `${xy[0][0]},${height - 3} ${line} ${xy[xy.length - 1][0]},${height - 3}`;\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polygon points={area} fill=\"var(--lime-soft)\" />\n      <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.4\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-7\" y=\"-7\" width=\"14\" height=\"14\" transform=\"rotate(45)\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","numLines":784,"startLine":1,"totalLines":784}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c7754d96-2442-4137-8fdf-f066c664e67d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"576d2343-a0f7-49ac-b286-fdb10b221103","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"b409b68f-6d0e-482b-817b-3e7b960ab4d9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":150,"uuid":"3f2ad07b-be18-47db-9e43-93a9959d1f68","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9BDuLMBSrbs7dgHAvt","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":29031,"cache_read_input_tokens":54514,"cache_creation":{"ephemeral_5m_input_tokens":29031,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"300f225e-ae45-4441-a70e-e91f47520d82","request_id":"req_011CeQ9BCPoZS4qqVSb5qptv"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9BDuLMBSrbs7dgHAvt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017tn1FBx67QBDyBpuFWkQVe","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":29031,"cache_read_input_tokens":54514,"cache_creation":{"ephemeral_5m_input_tokens":29031,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"03b053ed-e95b-4d29-b73a-235d4257c902","request_id":"req_011CeQ9BCPoZS4qqVSb5qptv"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017tn1FBx67QBDyBpuFWkQVe","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\timport type { Metadata, Viewport } from \"next\";\n3\timport { Inter, JetBrains_Mono, Space_Grotesk } from \"next/font/google\";\n4\timport \"./globals.css\";\n5\timport { LangProvider, LangToggle } from \"@/components/LangContext\";\n6\timport AccountButton from \"@/components/AccountButton\";\n7\timport CookieConsent from \"@/components/CookieConsent\";\n8\timport FooterNav from \"@/components/FooterNav\";\n9\timport HeaderNav from \"@/components/HeaderNav\";\n10\timport GroupeKaBadge from \"@/ka/GroupeKaBadge\";\n11\timport KaFooter from \"@/ka/KaFooter\";\n12\timport Link from \"next/link\";\n13\timport { SITE_URL } from \"@/lib/seo\";\n14\t\n15\tconst inter = Inter({ subsets: [\"latin\"], variable: \"--font-inter\" });\n16\tconst spaceGrotesk = Space_Grotesk({\n17\t  subsets: [\"latin\"],\n18\t  variable: \"--font-space-grotesk\",\n19\t});\n20\tconst jetbrains = JetBrains_Mono({\n21\t  subsets: [\"latin\"],\n22\t  variable: \"--font-jetbrains\",\n23\t});\n24\t\n25\texport const metadata: Metadata = {\n26\t  metadataBase: new URL(SITE_URL),\n27\t  title: {\n28\t    default: \"Vrai-Prix — Un service Groupe KA\",\n29\t    template: \"%s | Vrai-Prix\",\n30\t  },\n31\t  description:\n32\t    \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance. 3,7 millions de propriétés, 1 100 municipalités.\",\n33\t  applicationName: \"Vrai-Prix\",\n34\t  icons: { icon: \"/favicon.svg\", apple: \"/apple-touch-icon.png\" },\n35\t  openGraph: {\n36\t    type: \"website\",\n37\t    siteName: \"Vrai-Prix\",\n38\t    locale: \"fr_CA\",\n39\t    url: SITE_URL,\n40\t    title: \"Vrai-Prix — Un service Groupe KA\",\n41\t    description:\n42\t      \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n43\t    images: [\n44\t      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n45\t    ],\n46\t  },\n47\t  twitter: {\n48\t    card: \"summary_large_image\",\n49\t    images: [\n50\t      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n51\t    ],\n52\t    title: \"Vrai-Prix — Un service Groupe KA\",\n53\t    description:\n54\t      \"Estimation immobilière transparente pour le Québec : 3,7 millions de propriétés estimées, calcul montré en entier.\",\n55\t  },\n56\t  formatDetection: { telephone: false },\n57\t};\n58\t\n59\t/** Viewport mobile : viewport-fit=cover pour les encoches iOS (safe-area). */\n60\texport const viewport: Viewport = {\n61\t  width: \"device-width\",\n62\t  initialScale: 1,\n63\t  viewportFit: \"cover\",\n64\t};\n65\t\n66\t/** JSON-LD global : l'organisation et le site (entités schema.org). */\n67\tconst ORG_JSONLD = {\n68\t  \"@context\": \"https://schema.org\",\n69\t  \"@graph\": [\n70\t    {\n71\t      \"@type\": \"Organization\",\n72\t      \"@id\": `${SITE_URL}/#org`,\n73\t      name: \"Vrai-Prix\",\n74\t      url: SITE_URL,\n75\t      email: \"contact@spboucher.ai\",\n76\t      founder: { \"@type\": \"Person\", name: \"Simon-Pierre Boucher\" },\n77\t      areaServed: { \"@type\": \"AdministrativeArea\", name: \"Québec, Canada\" },\n78\t    },\n79\t    {\n80\t      \"@type\": \"WebSite\",\n81\t      \"@id\": `${SITE_URL}/#site`,\n82\t      name: \"Vrai-Prix\",\n83\t      url: SITE_URL,\n84\t      inLanguage: \"fr-CA\",\n85\t      publisher: { \"@id\": `${SITE_URL}/#org` },\n86\t      description:\n87\t        \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n88\t    },\n89\t  ],\n90\t};\n91\t\n92\tconst TICKER = [\n93\t  \"3 747 008 unités d'évaluation\",\n94\t  \"745 119 ventes réelles 2021-2026\",\n95\t  \"22 M d'estimations calculées\",\n96\t  \"Fourchette honnête P10-P90\",\n97\t  \"Indice de confiance A-D\",\n98\t  \"Zéro boîte noire — le calcul est montré\",\n99\t  \"1 100 municipalités couvertes\",\n100\t  \"Erreur médiane 11 %\",\n101\t];\n102\t\n103\texport default function RootLayout({ children }: LayoutProps<\"/\">) {\n104\t  return (\n105\t    <html lang=\"fr-CA\">\n106\t      <body\n107\t        className={`${inter.variable} ${spaceGrotesk.variable} ${jetbrains.variable}`}\n108\t      >\n109\t        <script\n110\t          type=\"application/ld+json\"\n111\t          dangerouslySetInnerHTML={{ __html: JSON.stringify(ORG_JSONLD) }}\n112\t        />\n113\t        <LangProvider>\n114\t          {/* header opaque (standard header/menu KA 2026-08-22) */}\n115\t          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b-2 border-ink bg-paper\">\n116\t            <div className=\"relative mx-auto flex h-16 max-w-6xl items-center gap-5 px-4 sm:px-6\">\n117\t              <Link\n118\t                href=\"/\"\n119\t                className=\"vp-display group relative flex items-center text-[22px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-[''] sm:text-[26px]\"\n120\t              >\n121\t                Vrai\n122\t                <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime transition-transform duration-200 group-hover:rotate-0\">\n123\t                  Prix\n124\t                </span>\n125\t              </Link>\n126\t              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n127\t                  le menu mobile porte sa propre entrée) */}\n128\t              <span className=\"hidden xl:inline-flex\">\n129\t                <GroupeKaBadge />\n130\t              </span>\n131\t              <div className=\"ml-auto flex items-center gap-2\">\n132\t                <HeaderNav />\n133\t                <AccountButton />\n134\t                <LangToggle />\n135\t              </div>\n136\t            </div>\n137\t          </header>\n138\t          <div className=\"ticker\" aria-hidden=\"true\">\n139\t            <div className=\"ticker-track\">\n140\t              {[...TICKER, ...TICKER].map((s, i) => (\n141\t                <span key={i}>{s}</span>\n142\t              ))}\n143\t            </div>\n144\t          </div>\n145\t          <main className=\"mx-auto max-w-6xl px-4 pb-16 sm:px-6\">{children}</main>\n146\t          {/* rangée locale (papier) : marque + liens de navigation du site,\n147\t              puis le bloc encre final = KaFooter (commun Groupe KA) */}\n148\t          <div className=\"mx-auto max-w-6xl px-4 sm:px-6\">\n149\t            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n150\t              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">\n151\t                Vrai\n152\t                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">\n153\t                  Prix\n154\t                </span>\n155\t              </p>\n156\t              <p className=\"max-w-2xl\">\n157\t                Estimations bâties sur les rôles d&apos;évaluation foncière du\n158\t                Québec (MAMH, données ouvertes) et 745 119 transactions réelles.\n159\t                Modèle hédonique + comparables ajustés, calcul montré en entier.\n160\t                Estimation statistique à titre indicatif.\n161\t              </p>\n162\t              <FooterNav />\n163\t            </div>\n164\t          </div>\n165\t          <KaFooter\n166\t            siteId=\"vrai-prix\"\n167\t            localLegal={[\n168\t              { label: \"Conditions\", href: \"/conditions\" },\n169\t              { label: \"Confidentialité\", href: \"/confidentialite\" },\n170\t              { label: \"Méthodologie\", href: \"/methodologie\" },\n171\t            ]}\n172\t          />\n173\t          <CookieConsent />\n174\t          <script\n175\t            dangerouslySetInnerHTML={{\n176\t              __html: 'window.KA_AGENT={site:\"vrai-prix\"}',\n177\t            }}\n178\t          />\n179\t          <script src=\"/ka-agent.js\" defer />\n180\t        </LangProvider>\n181\t      </body>\n182\t    </html>\n183\t  );\n184\t}\n185\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fef09c71-597d-4242-8401-2ee4a086a3aa","timestamp":"2026-08-25T21:02:00.237Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\nimport type { Metadata, Viewport } from \"next\";\nimport { Inter, JetBrains_Mono, Space_Grotesk } from \"next/font/google\";\nimport \"./globals.css\";\nimport { LangProvider, LangToggle } from \"@/components/LangContext\";\nimport AccountButton from \"@/components/AccountButton\";\nimport CookieConsent from \"@/components/CookieConsent\";\nimport FooterNav from \"@/components/FooterNav\";\nimport HeaderNav from \"@/components/HeaderNav\";\nimport GroupeKaBadge from \"@/ka/GroupeKaBadge\";\nimport KaFooter from \"@/ka/KaFooter\";\nimport Link from \"next/link\";\nimport { SITE_URL } from \"@/lib/seo\";\n\nconst inter = Inter({ subsets: [\"latin\"], variable: \"--font-inter\" });\nconst spaceGrotesk = Space_Grotesk({\n  subsets: [\"latin\"],\n  variable: \"--font-space-grotesk\",\n});\nconst jetbrains = JetBrains_Mono({\n  subsets: [\"latin\"],\n  variable: \"--font-jetbrains\",\n});\n\nexport const metadata: Metadata = {\n  metadataBase: new URL(SITE_URL),\n  title: {\n    default: \"Vrai-Prix — Un service Groupe KA\",\n    template: \"%s | Vrai-Prix\",\n  },\n  description:\n    \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance. 3,7 millions de propriétés, 1 100 municipalités.\",\n  applicationName: \"Vrai-Prix\",\n  icons: { icon: \"/favicon.svg\", apple: \"/apple-touch-icon.png\" },\n  openGraph: {\n    type: \"website\",\n    siteName: \"Vrai-Prix\",\n    locale: \"fr_CA\",\n    url: SITE_URL,\n    title: \"Vrai-Prix — Un service Groupe KA\",\n    description:\n      \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n  },\n  twitter: {\n    card: \"summary_large_image\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n    title: \"Vrai-Prix — Un service Groupe KA\",\n    description:\n      \"Estimation immobilière transparente pour le Québec : 3,7 millions de propriétés estimées, calcul montré en entier.\",\n  },\n  formatDetection: { telephone: false },\n};\n\n/** Viewport mobile : viewport-fit=cover pour les encoches iOS (safe-area). */\nexport const viewport: Viewport = {\n  width: \"device-width\",\n  initialScale: 1,\n  viewportFit: \"cover\",\n};\n\n/** JSON-LD global : l'organisation et le site (entités schema.org). */\nconst ORG_JSONLD = {\n  \"@context\": \"https://schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Organization\",\n      \"@id\": `${SITE_URL}/#org`,\n      name: \"Vrai-Prix\",\n      url: SITE_URL,\n      email: \"contact@spboucher.ai\",\n      founder: { \"@type\": \"Person\", name: \"Simon-Pierre Boucher\" },\n      areaServed: { \"@type\": \"AdministrativeArea\", name: \"Québec, Canada\" },\n    },\n    {\n      \"@type\": \"WebSite\",\n      \"@id\": `${SITE_URL}/#site`,\n      name: \"Vrai-Prix\",\n      url: SITE_URL,\n      inLanguage: \"fr-CA\",\n      publisher: { \"@id\": `${SITE_URL}/#org` },\n      description:\n        \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n    },\n  ],\n};\n\nconst TICKER = [\n  \"3 747 008 unités d'évaluation\",\n  \"745 119 ventes réelles 2021-2026\",\n  \"22 M d'estimations calculées\",\n  \"Fourchette honnête P10-P90\",\n  \"Indice de confiance A-D\",\n  \"Zéro boîte noire — le calcul est montré\",\n  \"1 100 municipalités couvertes\",\n  \"Erreur médiane 11 %\",\n];\n\nexport default function RootLayout({ children }: LayoutProps<\"/\">) {\n  return (\n    <html lang=\"fr-CA\">\n      <body\n        className={`${inter.variable} ${spaceGrotesk.variable} ${jetbrains.variable}`}\n      >\n        <script\n          type=\"application/ld+json\"\n          dangerouslySetInnerHTML={{ __html: JSON.stringify(ORG_JSONLD) }}\n        />\n        <LangProvider>\n          {/* header opaque (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b-2 border-ink bg-paper\">\n            <div className=\"relative mx-auto flex h-16 max-w-6xl items-center gap-5 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display group relative flex items-center text-[22px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-[''] sm:text-[26px]\"\n              >\n                Vrai\n                <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime transition-transform duration-200 group-hover:rotate-0\">\n                  Prix\n                </span>\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-2\">\n                <HeaderNav />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>\n          <div className=\"ticker\" aria-hidden=\"true\">\n            <div className=\"ticker-track\">\n              {[...TICKER, ...TICKER].map((s, i) => (\n                <span key={i}>{s}</span>\n              ))}\n            </div>\n          </div>\n          <main className=\"mx-auto max-w-6xl px-4 pb-16 sm:px-6\">{children}</main>\n          {/* rangée locale (papier) : marque + liens de navigation du site,\n              puis le bloc encre final = KaFooter (commun Groupe KA) */}\n          <div className=\"mx-auto max-w-6xl px-4 sm:px-6\">\n            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai\n                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">\n                  Prix\n                </span>\n              </p>\n              <p className=\"max-w-2xl\">\n                Estimations bâties sur les rôles d&apos;évaluation foncière du\n                Québec (MAMH, données ouvertes) et 745 119 transactions réelles.\n                Modèle hédonique + comparables ajustés, calcul montré en entier.\n                Estimation statistique à titre indicatif.\n              </p>\n              <FooterNav />\n            </div>\n          </div>\n          <KaFooter\n            siteId=\"vrai-prix\"\n            localLegal={[\n              { label: \"Conditions\", href: \"/conditions\" },\n              { label: \"Confidentialité\", href: \"/confidentialite\" },\n              { label: \"Méthodologie\", href: \"/methodologie\" },\n            ]}\n          />\n          <CookieConsent />\n          <script\n            dangerouslySetInnerHTML={{\n              __html: 'window.KA_AGENT={site:\"vrai-prix\"}',\n            }}\n          />\n          <script src=\"/ka-agent.js\" defer />\n        </LangProvider>\n      </body>\n    </html>\n  );\n}\n","numLines":185,"startLine":1,"totalLines":185}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9BDuLMBSrbs7dgHAvt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XanUr6eNUgtBByPckBTjvb","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":29031,"cache_read_input_tokens":54514,"cache_creation":{"ephemeral_5m_input_tokens":29031,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3380a678-3c92-4655-af39-d17d98223608","request_id":"req_011CeQ9BCPoZS4qqVSb5qptv"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XanUr6eNUgtBByPckBTjvb","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t/**\n3\t * Navigation d'en-tête. Le menu mobile utilise le motif checkbox + peer-checked :\n4\t * il s'ouvre et se ferme en PUR CSS — fonctionne même sans JavaScript (cache\n5\t * périmé, hydratation cassée, JS bloqué). Le JS n'est qu'une amélioration\n6\t * (fermeture au changement de page, verrou de défilement).\n7\t */\n8\t\"use client\";\n9\timport { useEffect, useRef } from \"react\";\n10\timport Link from \"next/link\";\n11\timport { usePathname } from \"next/navigation\";\n12\timport { useLang } from \"./LangContext\";\n13\timport GroupeKaBadge from \"../ka/GroupeKaBadge\";\n14\t\n15\texport default function HeaderNav() {\n16\t  const { lang, setLang } = useLang();\n17\t  const path = usePathname();\n18\t  const fr = lang === \"fr\";\n19\t  const box = useRef<HTMLInputElement>(null);\n20\t\n21\t  // améliorations JS (facultatives) : fermer à la navigation, verrouiller le scroll\n22\t  useEffect(() => {\n23\t    if (box.current) box.current.checked = false;\n24\t    document.body.style.overflow = \"\";\n25\t  }, [path]);\n26\t  const onToggle = () => {\n27\t    document.body.style.overflow = box.current?.checked ? \"hidden\" : \"\";\n28\t  };\n29\t\n30\t  const items = [\n31\t    { href: \"/\", label: fr ? \"Estimer\" : \"Estimate\" },\n32\t    { href: \"/carte\", label: fr ? \"Carte\" : \"Map\" },\n33\t    { href: \"/ka\", label: fr ? \"Ka · agent IA\" : \"Ka · AI agent\" },\n34\t    { href: \"/parc\", label: fr ? \"Parc immobilier\" : \"Portfolio\" },\n35\t    { href: \"/stats\", label: fr ? \"Statistiques\" : \"Statistics\" },\n36\t    { href: \"/methodologie\", label: fr ? \"Méthodologie\" : \"Methodology\" },\n37\t  ];\n38\t  const isActive = (href: string) =>\n39\t    href === \"/\" ? path === \"/\" : path.startsWith(href);\n40\t\n41\t  return (\n42\t    <>\n43\t      {/* nav pilule — desktop */}\n44\t      <nav className=\"hidden items-center gap-1 lg:flex\">\n45\t        {items.map((it) => (\n46\t          <Link\n47\t            key={it.href}\n48\t            href={it.href}\n49\t            className={`vp-display inline-flex min-h-[38px] items-center rounded-full border-[1.5px] px-3.5 py-1.5 text-[13.5px] font-bold transition-all ${\n50\t              isActive(it.href)\n51\t                ? \"border-ink bg-ink text-lime\"\n52\t                : \"border-transparent text-ink-2 hover:border-ink hover:text-ink\"\n53\t            }`}\n54\t          >\n55\t            {it.label}\n56\t          </Link>\n57\t        ))}\n58\t      </nav>\n59\t\n60\t      {/* ---- menu mobile : checkbox cachée + peer-checked, zéro JS requis ---- */}\n61\t      <div className=\"lg:hidden\">\n62\t        <input\n63\t          ref={box}\n64\t          type=\"checkbox\"\n65\t          id=\"vp-menu\"\n66\t          className=\"peer sr-only\"\n67\t          onChange={onToggle}\n68\t          aria-label=\"Menu\"\n69\t        />\n70\t        {/* hamburger (label = bouton) */}\n71\t        <label\n72\t          htmlFor=\"vp-menu\"\n73\t          aria-hidden=\"true\"\n74\t          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px] rounded-full border-[1.5px] border-ink bg-surface active:bg-lime-soft\"\n75\t        >\n76\t          <span className=\"h-[2px] w-[18px] bg-ink\" />\n77\t          <span className=\"h-[2px] w-[18px] bg-ink\" />\n78\t          <span className=\"h-[2px] w-[18px] bg-ink\" />\n79\t        </label>\n80\t\n81\t        {/* panneau plein écran — sibling du checkbox, affiché via peer-checked */}\n82\t        <div\n83\t          className=\"fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"\n84\t          style={{ background: \"var(--paper)\" }}\n85\t          role=\"dialog\"\n86\t          aria-modal=\"true\"\n87\t          aria-label=\"Menu\"\n88\t        >\n89\t          {/* barre du haut : marque + fermer */}\n90\t          <div\n91\t            className=\"flex h-16 shrink-0 items-center justify-between border-b-2 border-ink px-4\"\n92\t            style={{ background: \"var(--paper)\" }}\n93\t          >\n94\t            <Link\n95\t              href=\"/\"\n96\t              className=\"vp-display flex items-center text-[22px] font-bold leading-none tracking-[-0.04em]\"\n97\t            >\n98\t              Vrai\n99\t              <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime\">\n100\t                Prix\n101\t              </span>\n102\t            </Link>\n103\t            <label\n104\t              htmlFor=\"vp-menu\"\n105\t              aria-label={fr ? \"Fermer le menu\" : \"Close menu\"}\n106\t              className=\"vp-display flex h-11 w-11 cursor-pointer items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[17px] font-bold text-lime\"\n107\t            >\n108\t              ✕\n109\t            </label>\n110\t          </div>\n111\t\n112\t          {/* liens géants */}\n113\t          <nav className=\"flex flex-1 flex-col justify-center px-6 py-8\">\n114\t            {items.map((it, i) => (\n115\t              <Link\n116\t                key={it.href}\n117\t                href={it.href}\n118\t                className=\"group flex items-baseline gap-4 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.18)] py-5 last:border-0\"\n119\t              >\n120\t                <span className=\"vp-mono text-[12px] font-bold text-green\">\n121\t                  0{i + 1}\n122\t                </span>\n123\t                <span\n124\t                  className={`vp-display text-[29px] font-bold uppercase leading-none tracking-[-0.03em] ${\n125\t                    isActive(it.href)\n126\t                      ? \"rounded-md bg-ink px-2.5 py-1 text-lime\"\n127\t                      : \"text-ink group-active:text-green-deep\"\n128\t                  }`}\n129\t                >\n130\t                  {it.label}\n131\t                </span>\n132\t              </Link>\n133\t            ))}\n134\t          </nav>\n135\t\n136\t          {/* pied du menu */}\n137\t          <div className=\"shrink-0 border-t-2 border-ink px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">\n138\t            {/* entrée « Un service Groupe KA » du menu mobile */}\n139\t            <div className=\"mb-3\">\n140\t              <GroupeKaBadge />\n141\t            </div>\n142\t            <button\n143\t              onClick={() => setLang(fr ? \"en\" : \"fr\")}\n144\t              className=\"vp-mono mb-3 rounded-full border-[1.5px] border-ink bg-surface px-4 py-2 text-[12px] font-bold uppercase tracking-[0.08em]\"\n145\t            >\n146\t              {fr ? \"English version\" : \"Version française\"}\n147\t            </button>\n148\t            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n149\t              <Link href=\"/conditions\">{fr ? \"Conditions\" : \"Terms\"}</Link>\n150\t              <Link href=\"/confidentialite\">\n151\t                {fr ? \"Confidentialité\" : \"Privacy\"}\n152\t              </Link>\n153\t              <Link href=\"/contact\">Contact</Link>\n154\t            </div>\n155\t          </div>\n156\t        </div>\n157\t      </div>\n158\t    </>\n159\t  );\n160\t}\n161\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"24f98b59-d176-4d9b-a035-67db04923067","timestamp":"2026-08-25T21:02:00.883Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Navigation d'en-tête. Le menu mobile utilise le motif checkbox + peer-checked :\n * il s'ouvre et se ferme en PUR CSS — fonctionne même sans JavaScript (cache\n * périmé, hydratation cassée, JS bloqué). Le JS n'est qu'une amélioration\n * (fermeture au changement de page, verrou de défilement).\n */\n\"use client\";\nimport { useEffect, useRef } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\nimport GroupeKaBadge from \"../ka/GroupeKaBadge\";\n\nexport default function HeaderNav() {\n  const { lang, setLang } = useLang();\n  const path = usePathname();\n  const fr = lang === \"fr\";\n  const box = useRef<HTMLInputElement>(null);\n\n  // améliorations JS (facultatives) : fermer à la navigation, verrouiller le scroll\n  useEffect(() => {\n    if (box.current) box.current.checked = false;\n    document.body.style.overflow = \"\";\n  }, [path]);\n  const onToggle = () => {\n    document.body.style.overflow = box.current?.checked ? \"hidden\" : \"\";\n  };\n\n  const items = [\n    { href: \"/\", label: fr ? \"Estimer\" : \"Estimate\" },\n    { href: \"/carte\", label: fr ? \"Carte\" : \"Map\" },\n    { href: \"/ka\", label: fr ? \"Ka · agent IA\" : \"Ka · AI agent\" },\n    { href: \"/parc\", label: fr ? \"Parc immobilier\" : \"Portfolio\" },\n    { href: \"/stats\", label: fr ? \"Statistiques\" : \"Statistics\" },\n    { href: \"/methodologie\", label: fr ? \"Méthodologie\" : \"Methodology\" },\n  ];\n  const isActive = (href: string) =>\n    href === \"/\" ? path === \"/\" : path.startsWith(href);\n\n  return (\n    <>\n      {/* nav pilule — desktop */}\n      <nav className=\"hidden items-center gap-1 lg:flex\">\n        {items.map((it) => (\n          <Link\n            key={it.href}\n            href={it.href}\n            className={`vp-display inline-flex min-h-[38px] items-center rounded-full border-[1.5px] px-3.5 py-1.5 text-[13.5px] font-bold transition-all ${\n              isActive(it.href)\n                ? \"border-ink bg-ink text-lime\"\n                : \"border-transparent text-ink-2 hover:border-ink hover:text-ink\"\n            }`}\n          >\n            {it.label}\n          </Link>\n        ))}\n      </nav>\n\n      {/* ---- menu mobile : checkbox cachée + peer-checked, zéro JS requis ---- */}\n      <div className=\"lg:hidden\">\n        <input\n          ref={box}\n          type=\"checkbox\"\n          id=\"vp-menu\"\n          className=\"peer sr-only\"\n          onChange={onToggle}\n          aria-label=\"Menu\"\n        />\n        {/* hamburger (label = bouton) */}\n        <label\n          htmlFor=\"vp-menu\"\n          aria-hidden=\"true\"\n          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px] rounded-full border-[1.5px] border-ink bg-surface active:bg-lime-soft\"\n        >\n          <span className=\"h-[2px] w-[18px] bg-ink\" />\n          <span className=\"h-[2px] w-[18px] bg-ink\" />\n          <span className=\"h-[2px] w-[18px] bg-ink\" />\n        </label>\n\n        {/* panneau plein écran — sibling du checkbox, affiché via peer-checked */}\n        <div\n          className=\"fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"\n          style={{ background: \"var(--paper)\" }}\n          role=\"dialog\"\n          aria-modal=\"true\"\n          aria-label=\"Menu\"\n        >\n          {/* barre du haut : marque + fermer */}\n          <div\n            className=\"flex h-16 shrink-0 items-center justify-between border-b-2 border-ink px-4\"\n            style={{ background: \"var(--paper)\" }}\n          >\n            <Link\n              href=\"/\"\n              className=\"vp-display flex items-center text-[22px] font-bold leading-none tracking-[-0.04em]\"\n            >\n              Vrai\n              <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime\">\n                Prix\n              </span>\n            </Link>\n            <label\n              htmlFor=\"vp-menu\"\n              aria-label={fr ? \"Fermer le menu\" : \"Close menu\"}\n              className=\"vp-display flex h-11 w-11 cursor-pointer items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[17px] font-bold text-lime\"\n            >\n              ✕\n            </label>\n          </div>\n\n          {/* liens géants */}\n          <nav className=\"flex flex-1 flex-col justify-center px-6 py-8\">\n            {items.map((it, i) => (\n              <Link\n                key={it.href}\n                href={it.href}\n                className=\"group flex items-baseline gap-4 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.18)] py-5 last:border-0\"\n              >\n                <span className=\"vp-mono text-[12px] font-bold text-green\">\n                  0{i + 1}\n                </span>\n                <span\n                  className={`vp-display text-[29px] font-bold uppercase leading-none tracking-[-0.03em] ${\n                    isActive(it.href)\n                      ? \"rounded-md bg-ink px-2.5 py-1 text-lime\"\n                      : \"text-ink group-active:text-green-deep\"\n                  }`}\n                >\n                  {it.label}\n                </span>\n              </Link>\n            ))}\n          </nav>\n\n          {/* pied du menu */}\n          <div className=\"shrink-0 border-t-2 border-ink px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">\n            {/* entrée « Un service Groupe KA » du menu mobile */}\n            <div className=\"mb-3\">\n              <GroupeKaBadge />\n            </div>\n            <button\n              onClick={() => setLang(fr ? \"en\" : \"fr\")}\n              className=\"vp-mono mb-3 rounded-full border-[1.5px] border-ink bg-surface px-4 py-2 text-[12px] font-bold uppercase tracking-[0.08em]\"\n            >\n              {fr ? \"English version\" : \"Version française\"}\n            </button>\n            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n              <Link href=\"/conditions\">{fr ? \"Conditions\" : \"Terms\"}</Link>\n              <Link href=\"/confidentialite\">\n                {fr ? \"Confidentialité\" : \"Privacy\"}\n              </Link>\n              <Link href=\"/contact\">Contact</Link>\n            </div>\n          </div>\n        </div>\n      </div>\n    </>\n  );\n}\n","numLines":161,"startLine":1,"totalLines":161}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9BDuLMBSrbs7dgHAvt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q1BqH8FLdFVkZCur3PnsoN","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":29031,"cache_read_input_tokens":54514,"cache_creation":{"ephemeral_5m_input_tokens":29031,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fdd65c89-9951-457c-b6b3-84c43073e8ed","request_id":"req_011CeQ9BCPoZS4qqVSb5qptv"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q1BqH8FLdFVkZCur3PnsoN","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport { useRef, useState } from \"react\";\n4\timport { useRouter } from \"next/navigation\";\n5\timport { useLang } from \"./LangContext\";\n6\t\n7\texport interface Suggestion {\n8\t  id: string;\n9\t  adresse: string | null;\n10\t  apt: string | null;\n11\t  municipalite: string | null;\n12\t  typeProp: string;\n13\t}\n14\t\n15\texport default function SearchBox({\n16\t  onPick,\n17\t  placeholder,\n18\t}: {\n19\t  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n20\t  onPick?: (s: Suggestion) => void;\n21\t  placeholder?: string;\n22\t}) {\n23\t  const { t } = useLang();\n24\t  const router = useRouter();\n25\t  const [q, setQ] = useState(\"\");\n26\t  const [sugg, setSugg] = useState<Suggestion[]>([]);\n27\t  const [open, setOpen] = useState(false);\n28\t  const [searched, setSearched] = useState(false);\n29\t  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n30\t\n31\t  const onChange = (value: string) => {\n32\t    setQ(value);\n33\t    if (timer.current) clearTimeout(timer.current);\n34\t    if (value.trim().length < 3) {\n35\t      setSugg([]);\n36\t      setSearched(false);\n37\t      return;\n38\t    }\n39\t    timer.current = setTimeout(async () => {\n40\t      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n41\t      const data = (await res.json()) as { results: Suggestion[] };\n42\t      setSugg(data.results);\n43\t      setSearched(true);\n44\t      setOpen(true);\n45\t    }, 200);\n46\t  };\n47\t\n48\t  return (\n49\t    <div className=\"relative w-full\">\n50\t      <input\n51\t        value={q}\n52\t        onChange={(e) => onChange(e.target.value)}\n53\t        onFocus={() => setOpen(true)}\n54\t        onBlur={() => setTimeout(() => setOpen(false), 200)}\n55\t        placeholder={placeholder ?? t(\"searchPlaceholder\")}\n56\t        className=\"vp-input text-base\"\n57\t        aria-label={placeholder ?? t(\"searchPlaceholder\")}\n58\t      />\n59\t      {open && sugg.length > 0 && (\n60\t        <ul className=\"absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[10px] border-[1.5px] border-ink bg-surface shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">\n61\t          {sugg.map((s) => (\n62\t            <li key={s.id} className=\"border-b border-[rgba(20,24,20,0.1)] last:border-0\">\n63\t              <button\n64\t                className=\"flex w-full items-baseline justify-between gap-2 px-4 py-3 text-left transition-colors hover:bg-lime-soft\"\n65\t                onMouseDown={() => {\n66\t                  if (onPick) {\n67\t                    onPick(s);\n68\t                    setQ(\"\");\n69\t                    setSugg([]);\n70\t                    setSearched(false);\n71\t                  } else {\n72\t                    router.push(`/estimation/${s.id}`);\n73\t                  }\n74\t                }}\n75\t              >\n76\t                <span className=\"vp-display font-bold\">\n77\t                  {s.adresse}\n78\t                  {s.apt ? ` app. ${s.apt}` : \"\"}\n79\t                </span>\n80\t                <span className=\"vp-mono shrink-0 text-[11px] uppercase tracking-[0.05em] text-ink-3\">\n81\t                  {s.municipalite}\n82\t                </span>\n83\t              </button>\n84\t            </li>\n85\t          ))}\n86\t        </ul>\n87\t      )}\n88\t      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n89\t        <div className=\"vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3 text-[12px] uppercase tracking-[0.04em] text-ink-2 shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">\n90\t          {t(\"searchNoResult\")}\n91\t        </div>\n92\t      )}\n93\t    </div>\n94\t  );\n95\t}\n96\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3873acb0-91b7-4f24-8a0c-95f980f1b69b","timestamp":"2026-08-25T21:02:00.887Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useRef, useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nexport interface Suggestion {\n  id: string;\n  adresse: string | null;\n  apt: string | null;\n  municipalite: string | null;\n  typeProp: string;\n}\n\nexport default function SearchBox({\n  onPick,\n  placeholder,\n}: {\n  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n  onPick?: (s: Suggestion) => void;\n  placeholder?: string;\n}) {\n  const { t } = useLang();\n  const router = useRouter();\n  const [q, setQ] = useState(\"\");\n  const [sugg, setSugg] = useState<Suggestion[]>([]);\n  const [open, setOpen] = useState(false);\n  const [searched, setSearched] = useState(false);\n  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n\n  const onChange = (value: string) => {\n    setQ(value);\n    if (timer.current) clearTimeout(timer.current);\n    if (value.trim().length < 3) {\n      setSugg([]);\n      setSearched(false);\n      return;\n    }\n    timer.current = setTimeout(async () => {\n      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n      const data = (await res.json()) as { results: Suggestion[] };\n      setSugg(data.results);\n      setSearched(true);\n      setOpen(true);\n    }, 200);\n  };\n\n  return (\n    <div className=\"relative w-full\">\n      <input\n        value={q}\n        onChange={(e) => onChange(e.target.value)}\n        onFocus={() => setOpen(true)}\n        onBlur={() => setTimeout(() => setOpen(false), 200)}\n        placeholder={placeholder ?? t(\"searchPlaceholder\")}\n        className=\"vp-input text-base\"\n        aria-label={placeholder ?? t(\"searchPlaceholder\")}\n      />\n      {open && sugg.length > 0 && (\n        <ul className=\"absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[10px] border-[1.5px] border-ink bg-surface shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">\n          {sugg.map((s) => (\n            <li key={s.id} className=\"border-b border-[rgba(20,24,20,0.1)] last:border-0\">\n              <button\n                className=\"flex w-full items-baseline justify-between gap-2 px-4 py-3 text-left transition-colors hover:bg-lime-soft\"\n                onMouseDown={() => {\n                  if (onPick) {\n                    onPick(s);\n                    setQ(\"\");\n                    setSugg([]);\n                    setSearched(false);\n                  } else {\n                    router.push(`/estimation/${s.id}`);\n                  }\n                }}\n              >\n                <span className=\"vp-display font-bold\">\n                  {s.adresse}\n                  {s.apt ? ` app. ${s.apt}` : \"\"}\n                </span>\n                <span className=\"vp-mono shrink-0 text-[11px] uppercase tracking-[0.05em] text-ink-3\">\n                  {s.municipalite}\n                </span>\n              </button>\n            </li>\n          ))}\n        </ul>\n      )}\n      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n        <div className=\"vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3 text-[12px] uppercase tracking-[0.04em] text-ink-2 shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">\n          {t(\"searchNoResult\")}\n        </div>\n      )}\n    </div>\n  );\n}\n","numLines":96,"startLine":1,"totalLines":96}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"165afcb9-a0d6-40d0-b99a-6bd7e3cf9f17","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"0ee376d7-e150-4476-8d99-734515c1d12a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"b1b1b676-04a7-4aea-aba1-e3f8a4b37fff","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"7bc53cb7-604c-45da-aec2-7c6a1913c546","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"09e01402-25c3-44f8-a871-de1223d9a2c3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"8e43aa02-7603-427c-a89a-90df7a48c70f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":50,"uuid":"8fe5e13b-d6ed-4387-a432-1d05b4f3a11b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"93d398a7-9dfe-46d8-bb22-896107a187a5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"c42f5621-00c0-402d-8f81-4ca98a18ba72","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"b6ad877e-3206-4a53-8eb1-c5a79642b33a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":50,"uuid":"b753cabf-fa30-4b26-bc9d-fa55f649577f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"ab40401b-1c66-4d33-af59-5a65d3ae87af","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":100,"uuid":"c2252e46-7847-447b-a938-e4722284f785","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":50,"uuid":"0fdc8021-7eaa-4acc-957e-57f1159a56db","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1100,"estimated_tokens_delta":100,"uuid":"0c25bd9b-5937-4498-907e-6ba4a5c04868","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1200,"estimated_tokens_delta":100,"uuid":"89bf9251-5532-41ca-808c-e2afcac35077","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":50,"uuid":"f58548e6-5157-45ef-bcf0-7181b9b0b1b4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":100,"uuid":"55dc7964-fc83-4ac6-a91a-ac3120f7c462","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":100,"uuid":"62d33c7b-08b2-4d86-a797-5e33a83b4722","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1500,"estimated_tokens_delta":50,"uuid":"5dfae4cf-2bfd-422b-b4da-ed970cdcc935","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1650,"estimated_tokens_delta":150,"uuid":"a2870565-6ec0-4d35-84c9-9c47127e2338","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9C15w451N2ok8A1KBN","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":8264,"cache_read_input_tokens":83545,"cache_creation":{"ephemeral_5m_input_tokens":8264,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"576325d9-05fe-457c-9053-627d19bfcd49","request_id":"req_011CeQ9ByEZYRaK27xLNPmwi"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9C15w451N2ok8A1KBN","type":"message","role":"assistant","content":[{"type":"text","text":"La structure est claire. Je lis encore la page méthodologie, la page serveur d'accueil et quelques composants secondaires, puis je consulte le skill dataviz avant de retravailler les graphiques."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":8264,"cache_read_input_tokens":83545,"cache_creation":{"ephemeral_5m_input_tokens":8264,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5fdffdc5-572f-4171-b674-d27056ad9855","request_id":"req_011CeQ9ByEZYRaK27xLNPmwi"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9C15w451N2ok8A1KBN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jn6eaitQF8X3S4TygEQRD3","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":8264,"cache_read_input_tokens":83545,"cache_creation":{"ephemeral_5m_input_tokens":8264,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6c477d90-1813-4d81-bc15-10e7bc9512e5","request_id":"req_011CeQ9ByEZYRaK27xLNPmwi"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jn6eaitQF8X3S4TygEQRD3","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport Link from \"next/link\";\n4\timport { useLang } from \"@/components/LangContext\";\n5\t\n6\ttype Row = [string, string];\n7\tinterface Section {\n8\t  num: string;\n9\t  title: string;\n10\t  paras: string[];\n11\t  table?: { head: [string, string, string]; rows: [string, string, string][] };\n12\t  kv?: Row[];\n13\t}\n14\t\n15\tconst FR: Section[] = [\n16\t  {\n17\t    num: \"01\",\n18\t    title: \"Données sources\",\n19\t    paras: [\n20\t      \"Deux corpus publics forment la fondation de Vrai-Prix. Premièrement, les rôles d'évaluation foncière géoréférencés du Québec, publiés en données ouvertes par le ministère des Affaires municipales et de l'Habitation (MAMH) : six millésimes complets (2021 à 2026), de 3 626 120 à 3 747 008 unités d'évaluation par millésime, soit 22,15 millions d'observations unité-année. Chaque unité porte sa géométrie ponctuelle (NAD83, EPSG:4269), son matricule, son usage (code CUBF), ses caractéristiques de bâtiment et de terrain, et ses valeurs au rôle.\",\n21\t      \"Deuxièmement, 745 119 transactions immobilières publiées entre janvier 2021 et juillet 2026, couvrant 1 100 municipalités, chacune géolocalisée et documentée (prix, date, type, année de construction, aire d'étages, valeurs au rôle).\",\n22\t    ],\n23\t    kv: [\n24\t      [\"Millésimes de rôle\", \"2021 · 2022 · 2023 · 2024 · 2025 · 2026\"],\n25\t      [\"Unités d'évaluation (2026)\", \"3 747 008\"],\n26\t      [\"Observations unité-année\", \"22 150 285\"],\n27\t      [\"Transactions\", \"745 119 (2021-01 → 2026-07)\"],\n28\t      [\"Municipalités couvertes\", \"1 100\"],\n29\t      [\"Système de référence\", \"NAD83 (EPSG:4269), projeté EPSG:32198\"],\n30\t    ],\n31\t  },\n32\t  {\n33\t    num: \"02\",\n34\t    title: \"Fusion spatiale transaction ↔ unité d'évaluation\",\n35\t    paras: [\n36\t      \"Chaque transaction est appariée à son unité d'évaluation par coordonnées XY, dans le rôle de l'année de la transaction. L'appariement se fait en deux passes, en coordonnées projetées Québec Lambert (EPSG:32198).\",\n37\t      \"Passe A — spatiale : parmi les 25 plus proches voisins dans un rayon de 200 m, chaque candidat reçoit un score : +100 si la valeur au rôle est identique à celle portée par la transaction, +60 si la valeur du rôle antérieur concorde, +30 si l'année de construction concorde, +30 si l'aire d'étages concorde à ±0,6 m², moins 0,5 point par mètre de distance. Le meilleur score gagne.\",\n38\t      \"Passe B — jointure par valeur : les tours à condos placent des centaines d'unités sur le même point ; la géométrie seule ne suffit pas. Pour toute transaction sans concordance exacte de valeur en passe A, on cherche l'unité de valeur au rôle strictement identique dans un rayon de 500 m. En dernier recours, les millésimes adjacents (année ±1) sont essayés — les rôles triennaux étant déposés à des années différentes selon les municipalités.\",\n39\t      \"Résultat : 99,88 % des transactions appariées, 82,2 % avec concordance exacte de la valeur au rôle, distance médiane de 0,6 m (p90 = 12 m). Ce lien est vérifiable transaction par transaction.\",\n40\t    ],\n41\t  },\n42\t  {\n43\t    num: \"03\",\n44\t    title: \"Modèle hédonique de masse\",\n45\t    paras: [\n46\t      \"Le cœur du système est un modèle de gradient boosting (LightGBM) entraîné à prédire le logarithme du prix de vente. L'échantillon d'entraînement compte 689 231 transactions, après exclusion des ventes non représentatives du marché : appariement incertain, prix hors de 50 000 $ à 20 M$, ratio prix/évaluation hors de l'intervalle [0,3 ; 4].\",\n47\t      \"Dix-huit variables décrivent chaque propriété au moment de la vente : aire d'étages, superficie et frontage du terrain, nombre d'étages, de logements, de locaux non résidentiels et de chambres locatives, âge du bâtiment, usage CUBF (et sa famille), lien physique, genre de construction, municipalité et région (variables catégorielles), latitude, longitude, temps continu (mois écoulés) et mois de l'année, plus les valeurs au rôle (terrain, bâtiment, total, croissance vs rôle antérieur, part du terrain).\",\n48\t      \"Hyperparamètres : 255 feuilles, taux d'apprentissage 0,05, sous-échantillonnage 85 %, arrêt précoce sur ensemble de validation (~825 itérations retenues). La rétro-transformation du logarithme applique le facteur de correction de Duan (smearing, 1,04). Deux modèles de régression quantile (α = 0,10 et 0,90), entraînés sur les mêmes variables, produisent la fourchette P10-P90 propre à chaque propriété. Un second modèle « hédonique pur », sans les valeurs au rôle, sert de contrôle.\",\n49\t      \"Le modèle final est appliqué aux 3,75 millions d'unités de chaque millésime (temps fixé à la mi-année), produisant 22 millions d'estimations historisées 2021-2026.\",\n50\t    ],\n51\t  },\n52\t  {\n53\t    num: \"04\",\n54\t    title: \"Validation — norme IAAO\",\n55\t    paras: [\n56\t      \"La validation suit la norme de l'International Association of Assessing Officers (IAAO) sur les études de ratios : ratio médian (estimation/prix), coefficient de dispersion (COD), différentiel lié au prix (PRD) et coefficient de biais lié au prix (PRB). Deux protocoles : un ensemble aléatoire réservé de 15 % (102 943 ventes jamais vues) et un test temporel strict (entraînement sans 2026, test sur les 68 364 ventes de 2026).\",\n57\t      \"Le COD provincial (22,7) dépasse la cible urbaine IAAO (≤ 15) — attendu pour un modèle unique couvrant aussi les marchés ruraux minces ; le segment condo (11,9) y satisfait pleinement. Le ratio médian de 0,995 indique l'absence de biais systématique.\",\n58\t    ],\n59\t    table: {\n60\t      head: [\"Métrique\", \"Holdout aléatoire\", \"Test temporel 2026\"],\n61\t      rows: [\n62\t        [\"Erreur médiane (MdAPE)\", \"11,0 %\", \"14,0 %\"],\n63\t        [\"± 20 % du prix réel\", \"72,1 %\", \"66,7 %\"],\n64\t        [\"R² (log)\", \"0,789\", \"0,743\"],\n65\t        [\"Ratio médian (cible 0,90-1,10)\", \"0,995\", \"0,961\"],\n66\t        [\"COD (cible ≤ 15-20)\", \"22,7 (condos 11,9)\", \"23,7\"],\n67\t        [\"PRD (cible 0,98-1,03)\", \"1,092\", \"1,075\"],\n68\t        [\"PRB (cible ±0,05)\", \"−0,104\", \"−0,082\"],\n69\t      ],\n70\t    },\n71\t  },\n72\t  {\n73\t    num: \"05\",\n74\t    title: \"Moteur d'estimation en ligne\",\n75\t    paras: [\n76\t      \"Au moment de la consultation, l'estimation affichée combine deux sources indépendantes. (1) L'estimation du modèle hédonique, pré-calculée pour la propriété. (2) Une estimation par comparables : les ventes candidates sont cherchées dans un rayon adaptatif (2,2 km, élargi jusqu'à ~28 km si le marché est mince, minimum 30 candidates sur 30-36 mois), filtrées par famille de type et par aire d'étages (±20 %, relâché à ±40 % puis abandonné sous 6 candidates).\",\n77\t      \"Chaque comparable est ajusté, en dollars affichés : ajustement de marché (indice mensuel, section 06), ajustement de superficie (50 % du $/m² du comparable par m² d'écart, plafonné à ±25 % du prix), ajustement d'âge (0,5 % du prix par année d'écart, plafonné à ±10 %). Le poids de chaque comparable est le produit de trois gaussiennes : distance (σ = 1 500 m), récence (σ = 24 mois) et similarité de superficie (σ = 25 %). L'estimation comparables est la médiane pondérée des prix ajustés (12 meilleures retenues).\",\n78\t      \"Combinaison : 65 % modèle + 35 % comparables lorsque les deux existent (≥ 3 comparables) ; sinon la source disponible seule. La fourchette affichée est l'intervalle P10-P90 du modèle, recentré sur l'estimation finale.\",\n79\t      \"L'indice de confiance (0-100, niveaux A ≥ 75, B ≥ 60, C ≥ 45, D < 45) agrège : le nombre de comparables (+2,5/comparable, max 25), leur dispersion (jusqu'à +20 quand la déviation médiane est faible), la présence du modèle (+15) et une pénalité de largeur de fourchette au-delà de 30 %. Aucune estimation n'est affichée sans son niveau de confiance.\",\n80\t    ],\n81\t  },\n82\t  {\n83\t    num: \"06\",\n84\t    title: \"Indice de marché mensuel\",\n85\t    paras: [\n86\t      \"L'ajustement temporel des comparables repose sur un indice mensuel par type de propriété : médiane du prix au mètre carré des ventes du mois (minimum 5 ventes), lissée par médiane mobile centrée de 3 mois, normalisée au dernier mois observé. Une vente de janvier 2024 comparée en août 2026 est ainsi ramenée aux conditions de marché actuelles avant tout autre ajustement.\",\n87\t    ],\n88\t  },\n89\t  {\n90\t    num: \"07\",\n91\t    title: \"Limites connues\",\n92\t    paras: [\n93\t      \"L'honnêteté méthodologique exige de nommer ce que le système ne voit pas. Les rénovations intérieures, garages, piscines et l'état d'entretien n'apparaissent pas dans les données ouvertes du rôle. Dans les marchés ruraux minces, la dispersion dépasse les cibles IAAO urbaines — l'indice de confiance le reflète. Les unités d'une même tour à condos partagent un point géographique : sans numéro d'appartement, la recherche peut retourner une unité voisine. Les valeurs au rôle utilisées comme variables sont établies 18 à 24 mois avant leur entrée en vigueur. Enfin, une estimation statistique, aussi rigoureuse soit-elle, ne remplace pas l'évaluation d'un évaluateur agréé (OEAQ) ni l'analyse d'un courtier pour une mise en vente.\",\n94\t    ],\n95\t  },\n96\t];\n97\t\n98\tconst EN: Section[] = [\n99\t  {\n100\t    num: \"01\",\n101\t    title: \"Source data\",\n102\t    paras: [\n103\t      \"Two public corpora form the foundation of Vrai-Prix. First, Québec's georeferenced property assessment rolls, published as open data by the MAMH: six complete vintages (2021-2026), 3.63M to 3.75M assessment units each — 22.15 million unit-year observations, each with point geometry (NAD83), roll number, CUBF use code, building and lot characteristics, and assessed values.\",\n104\t      \"Second, 745,119 real-estate transactions published between January 2021 and July 2026 across 1,100 municipalities, each geolocated and documented (price, date, type, year built, floor area, assessed values).\",\n105\t    ],\n106\t    kv: [\n107\t      [\"Roll vintages\", \"2021 · 2022 · 2023 · 2024 · 2025 · 2026\"],\n108\t      [\"Assessment units (2026)\", \"3,747,008\"],\n109\t      [\"Unit-year observations\", \"22,150,285\"],\n110\t      [\"Transactions\", \"745,119 (2021-01 → 2026-07)\"],\n111\t      [\"Municipalities\", \"1,100\"],\n112\t      [\"Reference system\", \"NAD83 (EPSG:4269), projected EPSG:32198\"],\n113\t    ],\n114\t  },\n115\t  {\n116\t    num: \"02\",\n117\t    title: \"Spatial merge: transaction ↔ assessment unit\",\n118\t    paras: [\n119\t      \"Each transaction is matched to its assessment unit by XY coordinates in the roll of its own year, in two passes using Québec Lambert (EPSG:32198) coordinates.\",\n120\t      \"Pass A — spatial: among the 25 nearest neighbours within 200 m, each candidate is scored: +100 for an identical assessed value, +60 for a matching previous-roll value, +30 for a matching year built, +30 for a floor area within ±0.6 m², minus 0.5 point per metre of distance.\",\n121\t      \"Pass B — value join: condo towers stack hundreds of units on one point, so geometry alone is insufficient. For transactions without an exact value match in pass A, we search for the unit with a strictly identical assessed value within 500 m. As a last resort, adjacent vintages (±1 year) are tried, since triennial rolls are deposited in different years across municipalities.\",\n122\t      \"Result: 99.88% of transactions matched, 82.2% with an exact assessed-value match, median distance 0.6 m (p90 = 12 m). The link is verifiable transaction by transaction.\",\n123\t    ],\n124\t  },\n125\t  {\n126\t    num: \"03\",\n127\t    title: \"Mass-appraisal hedonic model\",\n128\t    paras: [\n129\t      \"The core is a gradient-boosting model (LightGBM) trained to predict the log of sale price on 689,231 transactions, after excluding non-market sales (uncertain match, price outside $50k-$20M, price/assessment ratio outside [0.3, 4]).\",\n130\t      \"Eighteen variables describe each property at sale time: floor area, lot area and frontage, storeys, dwellings, non-residential units, rental rooms, building age, CUBF use (and family), physical link, construction style, municipality and region (categorical), latitude, longitude, continuous time and month of year, plus assessed values (land, building, total, growth vs previous roll, land share).\",\n131\t      \"Hyperparameters: 255 leaves, learning rate 0.05, 85% subsampling, early stopping (~825 iterations). The log back-transform applies Duan's smearing factor (1.04). Two quantile models (α = 0.10, 0.90) produce each property's P10-P90 range; a value-free 'pure hedonic' variant serves as control.\",\n132\t      \"The final model is applied to all 3.75M units of every vintage (time set to mid-year), producing 22 million historical estimates 2021-2026.\",\n133\t    ],\n134\t  },\n135\t  {\n136\t    num: \"04\",\n137\t    title: \"Validation — IAAO standard\",\n138\t    paras: [\n139\t      \"Validation follows the IAAO Standard on Ratio Studies: median ratio, coefficient of dispersion (COD), price-related differential (PRD) and price-related bias (PRB). Two protocols: a 15% random holdout (102,943 unseen sales) and a strict temporal test (trained without 2026, tested on 68,364 sales of 2026).\",\n140\t      \"The province-wide COD (22.7) exceeds the urban IAAO target (≤ 15) — expected for a single model that also covers thin rural markets; the condo segment (11.9) fully meets it. The 0.995 median ratio shows no systematic bias.\",\n141\t    ],\n142\t    table: {\n143\t      head: [\"Metric\", \"Random holdout\", \"Temporal test 2026\"],\n144\t      rows: [\n145\t        [\"Median error (MdAPE)\", \"11.0%\", \"14.0%\"],\n146\t        [\"Within ±20% of price\", \"72.1%\", \"66.7%\"],\n147\t        [\"R² (log)\", \"0.789\", \"0.743\"],\n148\t        [\"Median ratio (target 0.90-1.10)\", \"0.995\", \"0.961\"],\n149\t        [\"COD (target ≤ 15-20)\", \"22.7 (condos 11.9)\", \"23.7\"],\n150\t        [\"PRD (target 0.98-1.03)\", \"1.092\", \"1.075\"],\n151\t        [\"PRB (target ±0.05)\", \"−0.104\", \"−0.082\"],\n152\t      ],\n153\t    },\n154\t  },\n155\t  {\n156\t    num: \"05\",\n157\t    title: \"Online estimation engine\",\n158\t    paras: [\n159\t      \"At consultation time, the displayed estimate blends two independent sources. (1) The precomputed hedonic estimate. (2) A comparables estimate: candidate sales are fetched in an adaptive radius (2.2 km, widened up to ~28 km in thin markets, minimum 30 candidates over 30-36 months), filtered by type family and floor area (±20%, relaxed to ±40%, dropped below 6 candidates).\",\n160\t      \"Each comparable is adjusted, in displayed dollars: market adjustment (monthly index, section 06), area adjustment (50% of the comp's $/m² per m² of difference, capped at ±25%), age adjustment (0.5%/year, capped at ±10%). Weights are the product of three Gaussians: distance (σ = 1,500 m), recency (σ = 24 months) and area similarity (σ = 25%). The comparables estimate is the weighted median of adjusted prices (best 12 kept).\",\n161\t      \"Blend: 65% model + 35% comparables when both exist (≥ 3 comps); otherwise the available source alone. The displayed range is the model's P10-P90 interval re-centred on the final estimate.\",\n162\t      \"The confidence index (0-100; A ≥ 75, B ≥ 60, C ≥ 45, D < 45) aggregates comp count (+2.5 each, max 25), comp dispersion (up to +20), model availability (+15) and a penalty for range width beyond 30%. No estimate is ever shown without its confidence level.\",\n163\t    ],\n164\t  },\n165\t  {\n166\t    num: \"06\",\n167\t    title: \"Monthly market index\",\n168\t    paras: [\n169\t      \"Time adjustment relies on a monthly index per property type: the median price per square metre of that month's sales (minimum 5), smoothed with a centred 3-month rolling median, normalized to the latest observed month.\",\n170\t    ],\n171\t  },\n172\t  {\n173\t    num: \"07\",\n174\t    title: \"Known limitations\",\n175\t    paras: [\n176\t      \"Methodological honesty requires naming what the system cannot see. Interior renovations, garages, pools and upkeep do not appear in open roll data. In thin rural markets, dispersion exceeds urban IAAO targets — the confidence index reflects it. Units in the same condo tower share one geographic point: without an apartment number, search may return a neighbouring unit. Assessed values used as features are set 18-24 months before taking effect. Finally, a statistical estimate, however rigorous, does not replace a chartered appraiser's evaluation (OEAQ) or a broker's analysis for a listing.\",\n177\t    ],\n178\t  },\n179\t];\n180\t\n181\texport default function MethodologieClient() {\n182\t  const { lang } = useLang();\n183\t  const fr = lang === \"fr\";\n184\t  const sections = fr ? FR : EN;\n185\t  return (\n186\t    <div className=\"py-10\">\n187\t      <nav className=\"vp-mono mb-8 flex items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">\n188\t        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">\n189\t          Vrai-Prix\n190\t        </Link>\n191\t        <span>/</span>\n192\t        <span>{fr ? \"Méthodologie\" : \"Methodology\"}</span>\n193\t      </nav>\n194\t      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n195\t      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(30px,5vw,52px)] font-bold uppercase leading-[1] tracking-[-0.03em]\">\n196\t        {fr ? (\n197\t          <>\n198\t            Méthodologie <span className=\"hl\">ultra-détaillée</span>\n199\t          </>\n200\t        ) : (\n201\t          <>\n202\t            The <span className=\"hl\">full</span> methodology\n203\t          </>\n204\t        )}\n205\t      </h1>\n206\t      <p className=\"mt-4 max-w-2xl text-[16px] text-ink-2\">\n207\t        {fr\n208\t          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n209\t          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n210\t      </p>\n211\t\n212\t      <div className=\"mt-10 space-y-8\">\n213\t        {sections.map((sct) => (\n214\t          <section key={sct.num} className=\"vp-card p-6 sm:p-8\">\n215\t            <div className=\"flex items-baseline gap-4\">\n216\t              <span className=\"vp-mono text-[13px] font-bold text-green\">{sct.num}</span>\n217\t              <h2 className=\"vp-display text-[20px] font-bold uppercase tracking-[-0.02em]\">\n218\t                {sct.title}\n219\t              </h2>\n220\t            </div>\n221\t            <div className=\"mt-4 space-y-3.5\">\n222\t              {sct.paras.map((p, i) => (\n223\t                <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n224\t                  {p}\n225\t                </p>\n226\t              ))}\n227\t            </div>\n228\t            {sct.kv && (\n229\t              <div className=\"mt-5 grid grid-cols-2 gap-2.5 sm:grid-cols-3\">\n230\t                {sct.kv.map(([k, v]) => (\n231\t                  <div key={k} className=\"kv-cell\">\n232\t                    <p className=\"k\">{k}</p>\n233\t                    <p className=\"v\">{v}</p>\n234\t                  </div>\n235\t                ))}\n236\t              </div>\n237\t            )}\n238\t            {sct.table && (\n239\t              <div className=\"src-wrap mt-5\">\n240\t                <table className=\"src-table\">\n241\t                  <thead>\n242\t                    <tr>\n243\t                      {sct.table.head.map((h) => (\n244\t                        <th key={h}>{h}</th>\n245\t                      ))}\n246\t                    </tr>\n247\t                  </thead>\n248\t                  <tbody>\n249\t                    {sct.table.rows.map(([a, b, c]) => (\n250\t                      <tr key={a}>\n251\t                        <td className=\"font-semibold\">{a}</td>\n252\t                        <td className=\"vp-mono text-[12.5px]\">{b}</td>\n253\t                        <td className=\"vp-mono text-[12.5px]\">{c}</td>\n254\t                      </tr>\n255\t                    ))}\n256\t                  </tbody>\n257\t                </table>\n258\t              </div>\n259\t            )}\n260\t          </section>\n261\t        ))}\n262\t      </div>\n263\t\n264\t      <p className=\"vp-mono mt-8 text-[11px] uppercase tracking-[0.06em] text-ink-3\">\n265\t        {fr\n266\t          ? \"Sources : rôles d'évaluation foncière du Québec (MAMH, données ouvertes) · IAAO Standard on Ratio Studies · IAAO Standard on AVMs\"\n267\t          : \"Sources: Québec property assessment rolls (MAMH, open data) · IAAO Standard on Ratio Studies · IAAO Standard on AVMs\"}\n268\t      </p>\n269\t    </div>\n270\t  );\n271\t}\n272\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7386e8fe-6e89-40f6-ab45-2aca03a74843","timestamp":"2026-08-25T21:02:35.427Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport Link from \"next/link\";\nimport { useLang } from \"@/components/LangContext\";\n\ntype Row = [string, string];\ninterface Section {\n  num: string;\n  title: string;\n  paras: string[];\n  table?: { head: [string, string, string]; rows: [string, string, string][] };\n  kv?: Row[];\n}\n\nconst FR: Section[] = [\n  {\n    num: \"01\",\n    title: \"Données sources\",\n    paras: [\n      \"Deux corpus publics forment la fondation de Vrai-Prix. Premièrement, les rôles d'évaluation foncière géoréférencés du Québec, publiés en données ouvertes par le ministère des Affaires municipales et de l'Habitation (MAMH) : six millésimes complets (2021 à 2026), de 3 626 120 à 3 747 008 unités d'évaluation par millésime, soit 22,15 millions d'observations unité-année. Chaque unité porte sa géométrie ponctuelle (NAD83, EPSG:4269), son matricule, son usage (code CUBF), ses caractéristiques de bâtiment et de terrain, et ses valeurs au rôle.\",\n      \"Deuxièmement, 745 119 transactions immobilières publiées entre janvier 2021 et juillet 2026, couvrant 1 100 municipalités, chacune géolocalisée et documentée (prix, date, type, année de construction, aire d'étages, valeurs au rôle).\",\n    ],\n    kv: [\n      [\"Millésimes de rôle\", \"2021 · 2022 · 2023 · 2024 · 2025 · 2026\"],\n      [\"Unités d'évaluation (2026)\", \"3 747 008\"],\n      [\"Observations unité-année\", \"22 150 285\"],\n      [\"Transactions\", \"745 119 (2021-01 → 2026-07)\"],\n      [\"Municipalités couvertes\", \"1 100\"],\n      [\"Système de référence\", \"NAD83 (EPSG:4269), projeté EPSG:32198\"],\n    ],\n  },\n  {\n    num: \"02\",\n    title: \"Fusion spatiale transaction ↔ unité d'évaluation\",\n    paras: [\n      \"Chaque transaction est appariée à son unité d'évaluation par coordonnées XY, dans le rôle de l'année de la transaction. L'appariement se fait en deux passes, en coordonnées projetées Québec Lambert (EPSG:32198).\",\n      \"Passe A — spatiale : parmi les 25 plus proches voisins dans un rayon de 200 m, chaque candidat reçoit un score : +100 si la valeur au rôle est identique à celle portée par la transaction, +60 si la valeur du rôle antérieur concorde, +30 si l'année de construction concorde, +30 si l'aire d'étages concorde à ±0,6 m², moins 0,5 point par mètre de distance. Le meilleur score gagne.\",\n      \"Passe B — jointure par valeur : les tours à condos placent des centaines d'unités sur le même point ; la géométrie seule ne suffit pas. Pour toute transaction sans concordance exacte de valeur en passe A, on cherche l'unité de valeur au rôle strictement identique dans un rayon de 500 m. En dernier recours, les millésimes adjacents (année ±1) sont essayés — les rôles triennaux étant déposés à des années différentes selon les municipalités.\",\n      \"Résultat : 99,88 % des transactions appariées, 82,2 % avec concordance exacte de la valeur au rôle, distance médiane de 0,6 m (p90 = 12 m). Ce lien est vérifiable transaction par transaction.\",\n    ],\n  },\n  {\n    num: \"03\",\n    title: \"Modèle hédonique de masse\",\n    paras: [\n      \"Le cœur du système est un modèle de gradient boosting (LightGBM) entraîné à prédire le logarithme du prix de vente. L'échantillon d'entraînement compte 689 231 transactions, après exclusion des ventes non représentatives du marché : appariement incertain, prix hors de 50 000 $ à 20 M$, ratio prix/évaluation hors de l'intervalle [0,3 ; 4].\",\n      \"Dix-huit variables décrivent chaque propriété au moment de la vente : aire d'étages, superficie et frontage du terrain, nombre d'étages, de logements, de locaux non résidentiels et de chambres locatives, âge du bâtiment, usage CUBF (et sa famille), lien physique, genre de construction, municipalité et région (variables catégorielles), latitude, longitude, temps continu (mois écoulés) et mois de l'année, plus les valeurs au rôle (terrain, bâtiment, total, croissance vs rôle antérieur, part du terrain).\",\n      \"Hyperparamètres : 255 feuilles, taux d'apprentissage 0,05, sous-échantillonnage 85 %, arrêt précoce sur ensemble de validation (~825 itérations retenues). La rétro-transformation du logarithme applique le facteur de correction de Duan (smearing, 1,04). Deux modèles de régression quantile (α = 0,10 et 0,90), entraînés sur les mêmes variables, produisent la fourchette P10-P90 propre à chaque propriété. Un second modèle « hédonique pur », sans les valeurs au rôle, sert de contrôle.\",\n      \"Le modèle final est appliqué aux 3,75 millions d'unités de chaque millésime (temps fixé à la mi-année), produisant 22 millions d'estimations historisées 2021-2026.\",\n    ],\n  },\n  {\n    num: \"04\",\n    title: \"Validation — norme IAAO\",\n    paras: [\n      \"La validation suit la norme de l'International Association of Assessing Officers (IAAO) sur les études de ratios : ratio médian (estimation/prix), coefficient de dispersion (COD), différentiel lié au prix (PRD) et coefficient de biais lié au prix (PRB). Deux protocoles : un ensemble aléatoire réservé de 15 % (102 943 ventes jamais vues) et un test temporel strict (entraînement sans 2026, test sur les 68 364 ventes de 2026).\",\n      \"Le COD provincial (22,7) dépasse la cible urbaine IAAO (≤ 15) — attendu pour un modèle unique couvrant aussi les marchés ruraux minces ; le segment condo (11,9) y satisfait pleinement. Le ratio médian de 0,995 indique l'absence de biais systématique.\",\n    ],\n    table: {\n      head: [\"Métrique\", \"Holdout aléatoire\", \"Test temporel 2026\"],\n      rows: [\n        [\"Erreur médiane (MdAPE)\", \"11,0 %\", \"14,0 %\"],\n        [\"± 20 % du prix réel\", \"72,1 %\", \"66,7 %\"],\n        [\"R² (log)\", \"0,789\", \"0,743\"],\n        [\"Ratio médian (cible 0,90-1,10)\", \"0,995\", \"0,961\"],\n        [\"COD (cible ≤ 15-20)\", \"22,7 (condos 11,9)\", \"23,7\"],\n        [\"PRD (cible 0,98-1,03)\", \"1,092\", \"1,075\"],\n        [\"PRB (cible ±0,05)\", \"−0,104\", \"−0,082\"],\n      ],\n    },\n  },\n  {\n    num: \"05\",\n    title: \"Moteur d'estimation en ligne\",\n    paras: [\n      \"Au moment de la consultation, l'estimation affichée combine deux sources indépendantes. (1) L'estimation du modèle hédonique, pré-calculée pour la propriété. (2) Une estimation par comparables : les ventes candidates sont cherchées dans un rayon adaptatif (2,2 km, élargi jusqu'à ~28 km si le marché est mince, minimum 30 candidates sur 30-36 mois), filtrées par famille de type et par aire d'étages (±20 %, relâché à ±40 % puis abandonné sous 6 candidates).\",\n      \"Chaque comparable est ajusté, en dollars affichés : ajustement de marché (indice mensuel, section 06), ajustement de superficie (50 % du $/m² du comparable par m² d'écart, plafonné à ±25 % du prix), ajustement d'âge (0,5 % du prix par année d'écart, plafonné à ±10 %). Le poids de chaque comparable est le produit de trois gaussiennes : distance (σ = 1 500 m), récence (σ = 24 mois) et similarité de superficie (σ = 25 %). L'estimation comparables est la médiane pondérée des prix ajustés (12 meilleures retenues).\",\n      \"Combinaison : 65 % modèle + 35 % comparables lorsque les deux existent (≥ 3 comparables) ; sinon la source disponible seule. La fourchette affichée est l'intervalle P10-P90 du modèle, recentré sur l'estimation finale.\",\n      \"L'indice de confiance (0-100, niveaux A ≥ 75, B ≥ 60, C ≥ 45, D < 45) agrège : le nombre de comparables (+2,5/comparable, max 25), leur dispersion (jusqu'à +20 quand la déviation médiane est faible), la présence du modèle (+15) et une pénalité de largeur de fourchette au-delà de 30 %. Aucune estimation n'est affichée sans son niveau de confiance.\",\n    ],\n  },\n  {\n    num: \"06\",\n    title: \"Indice de marché mensuel\",\n    paras: [\n      \"L'ajustement temporel des comparables repose sur un indice mensuel par type de propriété : médiane du prix au mètre carré des ventes du mois (minimum 5 ventes), lissée par médiane mobile centrée de 3 mois, normalisée au dernier mois observé. Une vente de janvier 2024 comparée en août 2026 est ainsi ramenée aux conditions de marché actuelles avant tout autre ajustement.\",\n    ],\n  },\n  {\n    num: \"07\",\n    title: \"Limites connues\",\n    paras: [\n      \"L'honnêteté méthodologique exige de nommer ce que le système ne voit pas. Les rénovations intérieures, garages, piscines et l'état d'entretien n'apparaissent pas dans les données ouvertes du rôle. Dans les marchés ruraux minces, la dispersion dépasse les cibles IAAO urbaines — l'indice de confiance le reflète. Les unités d'une même tour à condos partagent un point géographique : sans numéro d'appartement, la recherche peut retourner une unité voisine. Les valeurs au rôle utilisées comme variables sont établies 18 à 24 mois avant leur entrée en vigueur. Enfin, une estimation statistique, aussi rigoureuse soit-elle, ne remplace pas l'évaluation d'un évaluateur agréé (OEAQ) ni l'analyse d'un courtier pour une mise en vente.\",\n    ],\n  },\n];\n\nconst EN: Section[] = [\n  {\n    num: \"01\",\n    title: \"Source data\",\n    paras: [\n      \"Two public corpora form the foundation of Vrai-Prix. First, Québec's georeferenced property assessment rolls, published as open data by the MAMH: six complete vintages (2021-2026), 3.63M to 3.75M assessment units each — 22.15 million unit-year observations, each with point geometry (NAD83), roll number, CUBF use code, building and lot characteristics, and assessed values.\",\n      \"Second, 745,119 real-estate transactions published between January 2021 and July 2026 across 1,100 municipalities, each geolocated and documented (price, date, type, year built, floor area, assessed values).\",\n    ],\n    kv: [\n      [\"Roll vintages\", \"2021 · 2022 · 2023 · 2024 · 2025 · 2026\"],\n      [\"Assessment units (2026)\", \"3,747,008\"],\n      [\"Unit-year observations\", \"22,150,285\"],\n      [\"Transactions\", \"745,119 (2021-01 → 2026-07)\"],\n      [\"Municipalities\", \"1,100\"],\n      [\"Reference system\", \"NAD83 (EPSG:4269), projected EPSG:32198\"],\n    ],\n  },\n  {\n    num: \"02\",\n    title: \"Spatial merge: transaction ↔ assessment unit\",\n    paras: [\n      \"Each transaction is matched to its assessment unit by XY coordinates in the roll of its own year, in two passes using Québec Lambert (EPSG:32198) coordinates.\",\n      \"Pass A — spatial: among the 25 nearest neighbours within 200 m, each candidate is scored: +100 for an identical assessed value, +60 for a matching previous-roll value, +30 for a matching year built, +30 for a floor area within ±0.6 m², minus 0.5 point per metre of distance.\",\n      \"Pass B — value join: condo towers stack hundreds of units on one point, so geometry alone is insufficient. For transactions without an exact value match in pass A, we search for the unit with a strictly identical assessed value within 500 m. As a last resort, adjacent vintages (±1 year) are tried, since triennial rolls are deposited in different years across municipalities.\",\n      \"Result: 99.88% of transactions matched, 82.2% with an exact assessed-value match, median distance 0.6 m (p90 = 12 m). The link is verifiable transaction by transaction.\",\n    ],\n  },\n  {\n    num: \"03\",\n    title: \"Mass-appraisal hedonic model\",\n    paras: [\n      \"The core is a gradient-boosting model (LightGBM) trained to predict the log of sale price on 689,231 transactions, after excluding non-market sales (uncertain match, price outside $50k-$20M, price/assessment ratio outside [0.3, 4]).\",\n      \"Eighteen variables describe each property at sale time: floor area, lot area and frontage, storeys, dwellings, non-residential units, rental rooms, building age, CUBF use (and family), physical link, construction style, municipality and region (categorical), latitude, longitude, continuous time and month of year, plus assessed values (land, building, total, growth vs previous roll, land share).\",\n      \"Hyperparameters: 255 leaves, learning rate 0.05, 85% subsampling, early stopping (~825 iterations). The log back-transform applies Duan's smearing factor (1.04). Two quantile models (α = 0.10, 0.90) produce each property's P10-P90 range; a value-free 'pure hedonic' variant serves as control.\",\n      \"The final model is applied to all 3.75M units of every vintage (time set to mid-year), producing 22 million historical estimates 2021-2026.\",\n    ],\n  },\n  {\n    num: \"04\",\n    title: \"Validation — IAAO standard\",\n    paras: [\n      \"Validation follows the IAAO Standard on Ratio Studies: median ratio, coefficient of dispersion (COD), price-related differential (PRD) and price-related bias (PRB). Two protocols: a 15% random holdout (102,943 unseen sales) and a strict temporal test (trained without 2026, tested on 68,364 sales of 2026).\",\n      \"The province-wide COD (22.7) exceeds the urban IAAO target (≤ 15) — expected for a single model that also covers thin rural markets; the condo segment (11.9) fully meets it. The 0.995 median ratio shows no systematic bias.\",\n    ],\n    table: {\n      head: [\"Metric\", \"Random holdout\", \"Temporal test 2026\"],\n      rows: [\n        [\"Median error (MdAPE)\", \"11.0%\", \"14.0%\"],\n        [\"Within ±20% of price\", \"72.1%\", \"66.7%\"],\n        [\"R² (log)\", \"0.789\", \"0.743\"],\n        [\"Median ratio (target 0.90-1.10)\", \"0.995\", \"0.961\"],\n        [\"COD (target ≤ 15-20)\", \"22.7 (condos 11.9)\", \"23.7\"],\n        [\"PRD (target 0.98-1.03)\", \"1.092\", \"1.075\"],\n        [\"PRB (target ±0.05)\", \"−0.104\", \"−0.082\"],\n      ],\n    },\n  },\n  {\n    num: \"05\",\n    title: \"Online estimation engine\",\n    paras: [\n      \"At consultation time, the displayed estimate blends two independent sources. (1) The precomputed hedonic estimate. (2) A comparables estimate: candidate sales are fetched in an adaptive radius (2.2 km, widened up to ~28 km in thin markets, minimum 30 candidates over 30-36 months), filtered by type family and floor area (±20%, relaxed to ±40%, dropped below 6 candidates).\",\n      \"Each comparable is adjusted, in displayed dollars: market adjustment (monthly index, section 06), area adjustment (50% of the comp's $/m² per m² of difference, capped at ±25%), age adjustment (0.5%/year, capped at ±10%). Weights are the product of three Gaussians: distance (σ = 1,500 m), recency (σ = 24 months) and area similarity (σ = 25%). The comparables estimate is the weighted median of adjusted prices (best 12 kept).\",\n      \"Blend: 65% model + 35% comparables when both exist (≥ 3 comps); otherwise the available source alone. The displayed range is the model's P10-P90 interval re-centred on the final estimate.\",\n      \"The confidence index (0-100; A ≥ 75, B ≥ 60, C ≥ 45, D < 45) aggregates comp count (+2.5 each, max 25), comp dispersion (up to +20), model availability (+15) and a penalty for range width beyond 30%. No estimate is ever shown without its confidence level.\",\n    ],\n  },\n  {\n    num: \"06\",\n    title: \"Monthly market index\",\n    paras: [\n      \"Time adjustment relies on a monthly index per property type: the median price per square metre of that month's sales (minimum 5), smoothed with a centred 3-month rolling median, normalized to the latest observed month.\",\n    ],\n  },\n  {\n    num: \"07\",\n    title: \"Known limitations\",\n    paras: [\n      \"Methodological honesty requires naming what the system cannot see. Interior renovations, garages, pools and upkeep do not appear in open roll data. In thin rural markets, dispersion exceeds urban IAAO targets — the confidence index reflects it. Units in the same condo tower share one geographic point: without an apartment number, search may return a neighbouring unit. Assessed values used as features are set 18-24 months before taking effect. Finally, a statistical estimate, however rigorous, does not replace a chartered appraiser's evaluation (OEAQ) or a broker's analysis for a listing.\",\n    ],\n  },\n];\n\nexport default function MethodologieClient() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const sections = fr ? FR : EN;\n  return (\n    <div className=\"py-10\">\n      <nav className=\"vp-mono mb-8 flex items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">\n        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">\n          Vrai-Prix\n        </Link>\n        <span>/</span>\n        <span>{fr ? \"Méthodologie\" : \"Methodology\"}</span>\n      </nav>\n      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(30px,5vw,52px)] font-bold uppercase leading-[1] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Méthodologie <span className=\"hl\">ultra-détaillée</span>\n          </>\n        ) : (\n          <>\n            The <span className=\"hl\">full</span> methodology\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[16px] text-ink-2\">\n        {fr\n          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n      </p>\n\n      <div className=\"mt-10 space-y-8\">\n        {sections.map((sct) => (\n          <section key={sct.num} className=\"vp-card p-6 sm:p-8\">\n            <div className=\"flex items-baseline gap-4\">\n              <span className=\"vp-mono text-[13px] font-bold text-green\">{sct.num}</span>\n              <h2 className=\"vp-display text-[20px] font-bold uppercase tracking-[-0.02em]\">\n                {sct.title}\n              </h2>\n            </div>\n            <div className=\"mt-4 space-y-3.5\">\n              {sct.paras.map((p, i) => (\n                <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n                  {p}\n                </p>\n              ))}\n            </div>\n            {sct.kv && (\n              <div className=\"mt-5 grid grid-cols-2 gap-2.5 sm:grid-cols-3\">\n                {sct.kv.map(([k, v]) => (\n                  <div key={k} className=\"kv-cell\">\n                    <p className=\"k\">{k}</p>\n                    <p className=\"v\">{v}</p>\n                  </div>\n                ))}\n              </div>\n            )}\n            {sct.table && (\n              <div className=\"src-wrap mt-5\">\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      {sct.table.head.map((h) => (\n                        <th key={h}>{h}</th>\n                      ))}\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {sct.table.rows.map(([a, b, c]) => (\n                      <tr key={a}>\n                        <td className=\"font-semibold\">{a}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{b}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{c}</td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            )}\n          </section>\n        ))}\n      </div>\n\n      <p className=\"vp-mono mt-8 text-[11px] uppercase tracking-[0.06em] text-ink-3\">\n        {fr\n          ? \"Sources : rôles d'évaluation foncière du Québec (MAMH, données ouvertes) · IAAO Standard on Ratio Studies · IAAO Standard on AVMs\"\n          : \"Sources: Québec property assessment rolls (MAMH, open data) · IAAO Standard on Ratio Studies · IAAO Standard on AVMs\"}\n      </p>\n    </div>\n  );\n}\n","numLines":272,"startLine":1,"totalLines":272}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9C15w451N2ok8A1KBN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0125r3HRR3VCVbzvkd7yxxqJ","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":8264,"cache_read_input_tokens":83545,"cache_creation":{"ephemeral_5m_input_tokens":8264,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"10350ea6-ce3b-44c3-a4fd-9ecacc3ca4bc","request_id":"req_011CeQ9ByEZYRaK27xLNPmwi"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0125r3HRR3VCVbzvkd7yxxqJ","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\timport type { Metadata } from \"next\";\n3\timport Link from \"next/link\";\n4\timport HomeClient, { type PulseItem, type RecentSaleItem } from \"./HomeClient\";\n5\timport stats from \"@/data/stats.json\";\n6\timport { getMarketIndex, recentSales, salesCountSince } from \"@/lib/db\";\n7\timport { moneyFr, slugify } from \"@/lib/seo\";\n8\t\n9\t// Le pouls du marché et les dernières ventes bougent au rythme du connecteur\n10\t// (quotidien) — régénération ISR horaire, le reste de la page est stable.\n11\texport const revalidate = 3600;\n12\t\n13\texport const metadata: Metadata = {\n14\t  title: {\n15\t    absolute: \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n16\t  },\n17\t  description:\n18\t    \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n19\t  alternates: { canonical: \"/\" },\n20\t  openGraph: {\n21\t    type: \"website\",\n22\t    siteName: \"Vrai-Prix\",\n23\t    locale: \"fr_CA\",\n24\t    url: \"/\",\n25\t    title:\n26\t      \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n27\t    description:\n28\t      \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n29\t    images: [\n30\t      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n31\t    ],\n32\t  },\n33\t};\n34\t\n35\tconst TOP_VILLES = (\n36\t  stats as { par_ville: { ville: string; n: number; mediane: number | null }[] }\n37\t).par_ville.slice(0, 24);\n38\t\n39\t/** Séries d'indice par grand type — 25 derniers mois, avec variations. */\n40\tfunction buildPulse(): PulseItem[] {\n41\t  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n42\t    const full = getMarketIndex(type);\n43\t    const series = full.slice(-25);\n44\t    const last = full.length ? full[full.length - 1].idx : null;\n45\t    const yearAgo = full.length >= 13 ? full[full.length - 13].idx : null;\n46\t    const first = full.length >= 2 ? full[0].idx : null;\n47\t    return {\n48\t      type,\n49\t      series,\n50\t      pct12m:\n51\t        last != null && yearAgo != null && yearAgo > 0\n52\t          ? (last / yearAgo - 1) * 100\n53\t          : null,\n54\t      since2021:\n55\t        last != null && first != null && first > 0 ? (last / first - 1) * 100 : null,\n56\t    };\n57\t  });\n58\t}\n59\t\n60\tfunction buildRecent(): RecentSaleItem[] {\n61\t  return recentSales(6).map((s) => ({\n62\t    id: s.id,\n63\t    date: s.date,\n64\t    amount: s.amount,\n65\t    street: s.street,\n66\t    city: s.city,\n67\t    propertyType: s.property_type,\n68\t    idProvinc: s.id_provinc,\n69\t    vsRolePct:\n70\t      s.valeur_role != null && s.valeur_role > 0\n71\t        ? (s.amount / s.valeur_role - 1) * 100\n72\t        : null,\n73\t  }));\n74\t}\n75\t\n76\tfunction iso(d: Date): string {\n77\t  return d.toISOString().slice(0, 10);\n78\t}\n79\t\n80\texport default function Home() {\n81\t  const monthAgo = new Date();\n82\t  monthAgo.setDate(monthAgo.getDate() - 30);\n83\t  return (\n84\t    <>\n85\t      <HomeClient\n86\t        pulse={buildPulse()}\n87\t        recent={buildRecent()}\n88\t        salesLast30d={salesCountSince(iso(monthAgo))}\n89\t      />\n90\t      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n91\t      <section className=\"mt-14\">\n92\t        <span className=\"kicker\">Explorer par municipalité</span>\n93\t        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">\n94\t          La valeur des propriétés, ville par ville\n95\t        </h2>\n96\t        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">\n97\t          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n98\t          pour chacune des 1 097 municipalités du Québec.\n99\t        </p>\n100\t        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">\n101\t          {TOP_VILLES.map((v) => (\n102\t            <li key={v.ville}>\n103\t              <Link\n104\t                href={`/municipalite/${slugify(v.ville)}`}\n105\t                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"\n106\t              >\n107\t                <span className=\"font-medium group-hover:underline\">\n108\t                  {v.ville}\n109\t                </span>\n110\t                <span className=\"vp-mono text-[11px] text-ink-2\">\n111\t                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n112\t                </span>\n113\t              </Link>\n114\t            </li>\n115\t          ))}\n116\t        </ul>\n117\t        <p className=\"mt-5\">\n118\t          <Link href=\"/municipalites\" className=\"btn btn-ghost\">\n119\t            Toutes les municipalités →\n120\t          </Link>\n121\t        </p>\n122\t      </section>\n123\t    </>\n124\t  );\n125\t}\n126\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"aabfd264-bb93-41eb-ab79-6344a500f3ef","timestamp":"2026-08-25T21:02:36.138Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\nimport type { Metadata } from \"next\";\nimport Link from \"next/link\";\nimport HomeClient, { type PulseItem, type RecentSaleItem } from \"./HomeClient\";\nimport stats from \"@/data/stats.json\";\nimport { getMarketIndex, recentSales, salesCountSince } from \"@/lib/db\";\nimport { moneyFr, slugify } from \"@/lib/seo\";\n\n// Le pouls du marché et les dernières ventes bougent au rythme du connecteur\n// (quotidien) — régénération ISR horaire, le reste de la page est stable.\nexport const revalidate = 3600;\n\nexport const metadata: Metadata = {\n  title: {\n    absolute: \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n  },\n  description:\n    \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n  alternates: { canonical: \"/\" },\n  openGraph: {\n    type: \"website\",\n    siteName: \"Vrai-Prix\",\n    locale: \"fr_CA\",\n    url: \"/\",\n    title:\n      \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n    description:\n      \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n  },\n};\n\nconst TOP_VILLES = (\n  stats as { par_ville: { ville: string; n: number; mediane: number | null }[] }\n).par_ville.slice(0, 24);\n\n/** Séries d'indice par grand type — 25 derniers mois, avec variations. */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full.slice(-25);\n    const last = full.length ? full[full.length - 1].idx : null;\n    const yearAgo = full.length >= 13 ? full[full.length - 13].idx : null;\n    const first = full.length >= 2 ? full[0].idx : null;\n    return {\n      type,\n      series,\n      pct12m:\n        last != null && yearAgo != null && yearAgo > 0\n          ? (last / yearAgo - 1) * 100\n          : null,\n      since2021:\n        last != null && first != null && first > 0 ? (last / first - 1) * 100 : null,\n    };\n  });\n}\n\nfunction buildRecent(): RecentSaleItem[] {\n  return recentSales(6).map((s) => ({\n    id: s.id,\n    date: s.date,\n    amount: s.amount,\n    street: s.street,\n    city: s.city,\n    propertyType: s.property_type,\n    idProvinc: s.id_provinc,\n    vsRolePct:\n      s.valeur_role != null && s.valeur_role > 0\n        ? (s.amount / s.valeur_role - 1) * 100\n        : null,\n  }));\n}\n\nfunction iso(d: Date): string {\n  return d.toISOString().slice(0, 10);\n}\n\nexport default function Home() {\n  const monthAgo = new Date();\n  monthAgo.setDate(monthAgo.getDate() - 30);\n  return (\n    <>\n      <HomeClient\n        pulse={buildPulse()}\n        recent={buildRecent()}\n        salesLast30d={salesCountSince(iso(monthAgo))}\n      />\n      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">Explorer par municipalité</span>\n        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">\n          La valeur des propriétés, ville par ville\n        </h2>\n        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">\n          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n          pour chacune des 1 097 municipalités du Québec.\n        </p>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"\n              >\n                <span className=\"font-medium group-hover:underline\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[11px] text-ink-2\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-5\">\n          <Link href=\"/municipalites\" className=\"btn btn-ghost\">\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>\n    </>\n  );\n}\n","numLines":126,"startLine":1,"totalLines":126}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9C15w451N2ok8A1KBN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LswvhYdT3Y1NsrDsPa43Ap","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/EstimateForm.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":8264,"cache_read_input_tokens":83545,"cache_creation":{"ephemeral_5m_input_tokens":8264,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3b1991f6-f0cd-45f5-831a-aef3313aaa0e","request_id":"req_011CeQ9ByEZYRaK27xLNPmwi"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LswvhYdT3Y1NsrDsPa43Ap","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport { useState } from \"react\";\n4\timport { useRouter } from \"next/navigation\";\n5\timport { useLang } from \"./LangContext\";\n6\t\n7\tconst TYPES = [\n8\t  \"unifamilial\",\n9\t  \"plex\",\n10\t  \"condo_ou_multi\",\n11\t  \"chalet\",\n12\t  \"maison_mobile\",\n13\t  \"terrain\",\n14\t] as const;\n15\t\n16\texport default function EstimateForm() {\n17\t  const { t } = useLang();\n18\t  const router = useRouter();\n19\t  const [municipality, setMunicipality] = useState(\"\");\n20\t  const [typeProp, setTypeProp] = useState<string>(\"unifamilial\");\n21\t  const [floorArea, setFloorArea] = useState(\"\");\n22\t  const [yearBuilt, setYearBuilt] = useState(\"\");\n23\t  const [landArea, setLandArea] = useState(\"\");\n24\t\n25\t  const submit = (e: React.FormEvent) => {\n26\t    e.preventDefault();\n27\t    const p = new URLSearchParams({ municipality, typeProp });\n28\t    if (floorArea) p.set(\"floorArea\", floorArea);\n29\t    if (yearBuilt) p.set(\"yearBuilt\", yearBuilt);\n30\t    if (landArea) p.set(\"landArea\", landArea);\n31\t    router.push(`/estimation/manuelle?${p.toString()}`);\n32\t  };\n33\t\n34\t  return (\n35\t    <form\n36\t      onSubmit={submit}\n37\t      className=\"grid grid-cols-2 gap-3 sm:grid-cols-3 sm:gap-4\"\n38\t    >\n39\t      <label className=\"col-span-2 flex flex-col gap-1.5 sm:col-span-1\">\n40\t        <span className=\"klabel pl-0.5\">{t(\"municipality\")} *</span>\n41\t        <input\n42\t          required\n43\t          value={municipality}\n44\t          onChange={(e) => setMunicipality(e.target.value)}\n45\t          className=\"vp-input\"\n46\t          placeholder=\"Montréal, Québec, Lévis…\"\n47\t        />\n48\t      </label>\n49\t      <label className=\"flex flex-col gap-1.5\">\n50\t        <span className=\"klabel pl-0.5\">{t(\"propertyType\")} *</span>\n51\t        <select\n52\t          value={typeProp}\n53\t          onChange={(e) => setTypeProp(e.target.value)}\n54\t          className=\"vp-input\"\n55\t        >\n56\t          {TYPES.map((ty) => (\n57\t            <option key={ty} value={ty}>\n58\t              {t(ty)}\n59\t            </option>\n60\t          ))}\n61\t        </select>\n62\t      </label>\n63\t      <label className=\"flex flex-col gap-1.5\">\n64\t        <span className=\"klabel pl-0.5\">{t(\"floorArea\")}</span>\n65\t        <input\n66\t          type=\"number\"\n67\t          min={10}\n68\t          max={5000}\n69\t          value={floorArea}\n70\t          onChange={(e) => setFloorArea(e.target.value)}\n71\t          className=\"vp-input\"\n72\t          placeholder=\"120\"\n73\t        />\n74\t      </label>\n75\t      <label className=\"flex flex-col gap-1.5\">\n76\t        <span className=\"klabel pl-0.5\">{t(\"yearBuilt\")}</span>\n77\t        <input\n78\t          type=\"number\"\n79\t          min={1700}\n80\t          max={2026}\n81\t          value={yearBuilt}\n82\t          onChange={(e) => setYearBuilt(e.target.value)}\n83\t          className=\"vp-input\"\n84\t          placeholder=\"1985\"\n85\t        />\n86\t      </label>\n87\t      <label className=\"flex flex-col gap-1.5\">\n88\t        <span className=\"klabel pl-0.5\">{t(\"landArea\")}</span>\n89\t        <input\n90\t          type=\"number\"\n91\t          min={0}\n92\t          value={landArea}\n93\t          onChange={(e) => setLandArea(e.target.value)}\n94\t          className=\"vp-input\"\n95\t          placeholder=\"500\"\n96\t        />\n97\t      </label>\n98\t      <div className=\"flex items-end\">\n99\t        <button type=\"submit\" className=\"btn btn-primary w-full\">\n100\t          {t(\"estimateBtn\")} →\n101\t        </button>\n102\t      </div>\n103\t    </form>\n104\t  );\n105\t}\n106\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a7dd7b07-2321-4507-aef3-4fc013012ab9","timestamp":"2026-08-25T21:02:36.851Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/EstimateForm.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nconst TYPES = [\n  \"unifamilial\",\n  \"plex\",\n  \"condo_ou_multi\",\n  \"chalet\",\n  \"maison_mobile\",\n  \"terrain\",\n] as const;\n\nexport default function EstimateForm() {\n  const { t } = useLang();\n  const router = useRouter();\n  const [municipality, setMunicipality] = useState(\"\");\n  const [typeProp, setTypeProp] = useState<string>(\"unifamilial\");\n  const [floorArea, setFloorArea] = useState(\"\");\n  const [yearBuilt, setYearBuilt] = useState(\"\");\n  const [landArea, setLandArea] = useState(\"\");\n\n  const submit = (e: React.FormEvent) => {\n    e.preventDefault();\n    const p = new URLSearchParams({ municipality, typeProp });\n    if (floorArea) p.set(\"floorArea\", floorArea);\n    if (yearBuilt) p.set(\"yearBuilt\", yearBuilt);\n    if (landArea) p.set(\"landArea\", landArea);\n    router.push(`/estimation/manuelle?${p.toString()}`);\n  };\n\n  return (\n    <form\n      onSubmit={submit}\n      className=\"grid grid-cols-2 gap-3 sm:grid-cols-3 sm:gap-4\"\n    >\n      <label className=\"col-span-2 flex flex-col gap-1.5 sm:col-span-1\">\n        <span className=\"klabel pl-0.5\">{t(\"municipality\")} *</span>\n        <input\n          required\n          value={municipality}\n          onChange={(e) => setMunicipality(e.target.value)}\n          className=\"vp-input\"\n          placeholder=\"Montréal, Québec, Lévis…\"\n        />\n      </label>\n      <label className=\"flex flex-col gap-1.5\">\n        <span className=\"klabel pl-0.5\">{t(\"propertyType\")} *</span>\n        <select\n          value={typeProp}\n          onChange={(e) => setTypeProp(e.target.value)}\n          className=\"vp-input\"\n        >\n          {TYPES.map((ty) => (\n            <option key={ty} value={ty}>\n              {t(ty)}\n            </option>\n          ))}\n        </select>\n      </label>\n      <label className=\"flex flex-col gap-1.5\">\n        <span className=\"klabel pl-0.5\">{t(\"floorArea\")}</span>\n        <input\n          type=\"number\"\n          min={10}\n          max={5000}\n          value={floorArea}\n          onChange={(e) => setFloorArea(e.target.value)}\n          className=\"vp-input\"\n          placeholder=\"120\"\n        />\n      </label>\n      <label className=\"flex flex-col gap-1.5\">\n        <span className=\"klabel pl-0.5\">{t(\"yearBuilt\")}</span>\n        <input\n          type=\"number\"\n          min={1700}\n          max={2026}\n          value={yearBuilt}\n          onChange={(e) => setYearBuilt(e.target.value)}\n          className=\"vp-input\"\n          placeholder=\"1985\"\n        />\n      </label>\n      <label className=\"flex flex-col gap-1.5\">\n        <span className=\"klabel pl-0.5\">{t(\"landArea\")}</span>\n        <input\n          type=\"number\"\n          min={0}\n          value={landArea}\n          onChange={(e) => setLandArea(e.target.value)}\n          className=\"vp-input\"\n          placeholder=\"500\"\n        />\n      </label>\n      <div className=\"flex items-end\">\n        <button type=\"submit\" className=\"btn btn-primary w-full\">\n          {t(\"estimateBtn\")} →\n        </button>\n      </div>\n    </form>\n  );\n}\n","numLines":106,"startLine":1,"totalLines":106}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9C15w451N2ok8A1KBN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013M1eXLeyZ6yX4Mcb3XWiFK","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/FooterNav.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":8264,"cache_read_input_tokens":83545,"cache_creation":{"ephemeral_5m_input_tokens":8264,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"61529e81-73bd-407b-903c-a236328547c4","request_id":"req_011CeQ9ByEZYRaK27xLNPmwi"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M1eXLeyZ6yX4Mcb3XWiFK","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport Link from \"next/link\";\n4\timport { useLang } from \"./LangContext\";\n5\timport { openCookiePrefs } from \"./CookieConsent\";\n6\t\n7\texport default function FooterNav() {\n8\t  const { lang } = useLang();\n9\t  const fr = lang === \"fr\";\n10\t  // rangée locale sur fond papier (le bloc encre final est le KaFooter commun)\n11\t  const cls =\n12\t    \"vp-mono text-[11px] uppercase tracking-[0.08em] text-ink-2 border-b border-transparent hover:text-green-deep hover:border-green-deep transition-colors\";\n13\t  return (\n14\t    <nav className=\"mt-5 flex flex-wrap items-center gap-x-6 gap-y-2\">\n15\t      <Link href=\"/ka\" className={cls}>\n16\t        {fr ? \"Ka · agent IA\" : \"Ka · AI agent\"}\n17\t      </Link>\n18\t      <Link href=\"/parc\" className={cls}>\n19\t        {fr ? \"Parc immobilier\" : \"Portfolio\"}\n20\t      </Link>\n21\t      <Link href=\"/stats\" className={cls}>\n22\t        {fr ? \"Statistiques\" : \"Statistics\"}\n23\t      </Link>\n24\t      <Link href=\"/municipalites\" className={cls}>\n25\t        {fr ? \"Municipalités\" : \"Municipalities\"}\n26\t      </Link>\n27\t      <Link href=\"/methodologie\" className={cls}>\n28\t        {fr ? \"Méthodologie\" : \"Methodology\"}\n29\t      </Link>\n30\t      <Link href=\"/conditions\" className={cls}>\n31\t        {fr ? \"Conditions d'utilisation\" : \"Terms of service\"}\n32\t      </Link>\n33\t      <Link href=\"/confidentialite\" className={cls}>\n34\t        {fr ? \"Politique de confidentialité\" : \"Privacy policy\"}\n35\t      </Link>\n36\t      <Link href=\"/contact\" className={cls}>\n37\t        Contact\n38\t      </Link>\n39\t      <a href=\"/doc/index.html\" className={cls}>\n40\t        Documentation\n41\t      </a>\n42\t      <button onClick={openCookiePrefs} className={`${cls} cursor-pointer`}>\n43\t        🍪 {fr ? \"Préférences de témoins\" : \"Cookie preferences\"}\n44\t      </button>\n45\t    </nav>\n46\t  );\n47\t}\n48\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9ccac914-f3bf-4078-b780-9936c5f985c6","timestamp":"2026-08-25T21:02:36.903Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/FooterNav.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport Link from \"next/link\";\nimport { useLang } from \"./LangContext\";\nimport { openCookiePrefs } from \"./CookieConsent\";\n\nexport default function FooterNav() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  // rangée locale sur fond papier (le bloc encre final est le KaFooter commun)\n  const cls =\n    \"vp-mono text-[11px] uppercase tracking-[0.08em] text-ink-2 border-b border-transparent hover:text-green-deep hover:border-green-deep transition-colors\";\n  return (\n    <nav className=\"mt-5 flex flex-wrap items-center gap-x-6 gap-y-2\">\n      <Link href=\"/ka\" className={cls}>\n        {fr ? \"Ka · agent IA\" : \"Ka · AI agent\"}\n      </Link>\n      <Link href=\"/parc\" className={cls}>\n        {fr ? \"Parc immobilier\" : \"Portfolio\"}\n      </Link>\n      <Link href=\"/stats\" className={cls}>\n        {fr ? \"Statistiques\" : \"Statistics\"}\n      </Link>\n      <Link href=\"/municipalites\" className={cls}>\n        {fr ? \"Municipalités\" : \"Municipalities\"}\n      </Link>\n      <Link href=\"/methodologie\" className={cls}>\n        {fr ? \"Méthodologie\" : \"Methodology\"}\n      </Link>\n      <Link href=\"/conditions\" className={cls}>\n        {fr ? \"Conditions d'utilisation\" : \"Terms of service\"}\n      </Link>\n      <Link href=\"/confidentialite\" className={cls}>\n        {fr ? \"Politique de confidentialité\" : \"Privacy policy\"}\n      </Link>\n      <Link href=\"/contact\" className={cls}>\n        Contact\n      </Link>\n      <a href=\"/doc/index.html\" className={cls}>\n        Documentation\n      </a>\n      <button onClick={openCookiePrefs} className={`${cls} cursor-pointer`}>\n        🍪 {fr ? \"Préférences de témoins\" : \"Cookie preferences\"}\n      </button>\n    </nav>\n  );\n}\n","numLines":48,"startLine":1,"totalLines":48}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"546efd56-231e-4f2b-9303-c53410f03dc0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"4a3fffa1-96d9-4134-b34d-137cecd3b5fa","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":171,"estimated_tokens_delta":121,"uuid":"e1920100-bf34-4e84-9de7-7af2d4289a35","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9EgM9GKYKe6NcAn3ky","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":15197,"cache_read_input_tokens":91809,"cache_creation":{"ephemeral_5m_input_tokens":15197,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8401a6a2-b263-4394-b511-b0953c6c08c2","request_id":"req_011CeQ9EdLKTFY7xx3agJTY8"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9EgM9GKYKe6NcAn3ky","type":"message","role":"assistant","content":[{"type":"text","text":"J'ai le portrait complet. Avant de réécrire les graphiques, je consulte le skill dataviz (obligatoire avant tout code de visualisation), et je vérifie l'usage des primitives dans les autres pages."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":15197,"cache_read_input_tokens":91809,"cache_creation":{"ephemeral_5m_input_tokens":15197,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d52d3a87-3182-4567-a945-0363613d93af","request_id":"req_011CeQ9EdLKTFY7xx3agJTY8"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9EgM9GKYKe6NcAn3ky","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0115U6t6Kw4sByJrBqNWsGUr","name":"Skill","input":{"skill":"dataviz","args":"Redesign of premium editorial SVG charts (line/index charts, sparklines, range bars, distribution bars) for a black/off-white/red Bloomberg×FT-style real-estate data product, hand-rolled React SVG, no chart library"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":15197,"cache_read_input_tokens":91809,"cache_creation":{"ephemeral_5m_input_tokens":15197,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8c62ba83-ff6e-4339-bea1-e6483d6f122f","request_id":"req_011CeQ9EdLKTFY7xx3agJTY8"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_0115U6t6Kw4sByJrBqNWsGUr","content":"Launching skill: dataviz"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"45026f37-c315-4d08-bfff-f6c5c183690a","timestamp":"2026-08-25T21:02:44.701Z","tool_use_result":{"success":true,"commandName":"dataviz"}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz\n\n# Data Visualization\n\nA chart is **read by people and executed by you**. This skill turns \"make it look\ngood\" into a procedure with checks, so the result is right by construction rather\nthan by taste.\n\n**The method here is design-system-agnostic.** Nothing in the procedure, the form\nheuristic, the six checks, or the mark specs is specific to one product. A design\nsystem supplies a small set of *parameters* (its ramps, a categorical order, a\ndiverging pair, a status palette, a texture, its surfaces, its filter components);\nthe method consumes them unchanged. A **validated default palette** is the\nreference instance, fully specified in `references/palette.md`. To target your\nbrand, read that file's structure and substitute its values — touch nothing else.\n\n> The single most important habit: **the color part is computable, so compute it.**\n> Never eyeball whether a palette is colorblind-safe — run `scripts/validate_palette.js`.\n\n## The procedure — do these in order\n\nColor comes LAST. Most bad charts pick colors first.\n\n1. **Pick the form.** What is the data's job — magnitude, identity, polarity, a\n   single headline, change-over-time? The job picks the chart type, and sometimes\n   the answer is *not a chart* (a stat tile or hero number). → `references/choosing-a-form.md`\n2. **Assign color by the job it does.** Categorical (identity), sequential\n   (magnitude), diverging (polarity), or status (state) — each has one rule.\n   Assign categorical hues in fixed order, never cycled. → `references/color-formula.md`\n3. **VALIDATE the palette — run the script, don't reason about ΔE.**\n   `node scripts/validate_palette.js \"<hex,hex,…>\" --mode light` (relative to\n   this skill's base directory — or load it as `<script type=\"module\">` in the\n   chart's own page, where it reads\n   `data-palette` off `<body>` and logs a `console.table` report). It returns\n   pass/fail on the lightness band, chroma floor, adjacent-pair CVD separation,\n   and contrast. Fix anything that FAILs before continuing. Re-run for\n   `--mode dark` with that mode's surface.\n4. **Apply mark specs & spacers.** Thin marks, 4px rounded data-ends anchored to\n   the baseline, 2px lines, ≥8px markers, a 2px surface gap between fills (stacked\n   segments and adjacent bars alike) and a 2px surface ring on overlapping marks,\n   selective direct labels. → `references/marks-and-anatomy.md`\n5. **Add the hover layer — by default.** An HTML/SVG chart *is* interactive; ship\n   a crosshair+tooltip on line/area and a per-mark hover tooltip on bar/dot/cell.\n   The only form that skips it is a bare stat tile with no plot. Hit targets bigger\n   than the mark; filters in one row above the charts. → `references/interaction.md`\n6. **Final accessibility pass.** For ≥ 2 series a legend is always present and ≤ 4\n   are also direct-labeled (a single series needs no legend box — the title names\n   it), so identity is never color-alone; a table view exists; dark mode is **selected** — its own\n   steps from the same ramps, validated against the dark surface, not an automatic\n   flip; texture is available for the CVD/print/forced-colors case.\n7. **Render it and look at it.** The validator checks color, not layout — open or\n   screenshot the output and eyeball it for label collisions, geometry, and overflow\n   before calling it done.\n\nThen check the result against **`references/anti-patterns.md`** — it is the catalog\nof what goes wrong. If your chart matches an entry, it's wrong.\n\n## Non-negotiables (true in every design system)\n\n- **Assign categorical hues in fixed order, never cycled.** A 9th series is never a\n  generated hue — it folds into \"Other,\" small multiples, or composite encoding.\n- **One axis.** Never a dual-axis chart (two y-scales). Two measures of different\n  scale → two charts, small multiples, or indexed to a common base. *(This is the\n  #1 chart mistake — see anti-patterns.)*\n- **Color follows the entity, never its rank.** A filter that changes the series\n  count must not repaint the survivors.\n- **Sequential = one hue, light→dark. Diverging = two hues + a neutral gray\n  midpoint.** Never a rainbow; never a hue at the diverging midpoint.\n- **Run the validator before shipping any categorical palette.** CVD ≥ 12 is the\n  target; 8–12 is a floor that is legal ONLY with secondary encoding. A contrast WARN\n  obligates visible labels or a table view — it is not dismissable.\n- **Thin marks; a legend always present for ≥ 2 series (none for one), with\n  selective direct labels (never a number on every point); recessive grid/axes.**\n- **Text wears text tokens, never the series color** — values, labels, and legends\n  stay in primary/secondary/muted ink; a colored mark beside them carries identity.\n- **Status colors are reserved** (good/warning/serious/critical) and never reused\n  for \"series 4\"; they ship with an icon + label, never color alone.\n\n## Plugging in a design system\n\nThe method is invariant; only these parameters change per system. The reference\ninstance — every value filled in — is `references/palette.md`.\n\n| Parameter | What the system provides |\n|---|---|\n| **Ramps** | the hue scales (named steps) the palette draws from |\n| **Categorical theme** | the fixed hue order (a named theme); default + alternates |\n| **Sequential hue** | the default single hue for magnitude |\n| **Diverging pair** | two warm/cool poles + a neutral midpoint |\n| **Status palette** | good / warning / serious / critical — steps distinct from categorical |\n| **Texture fill** | one directional hand-drawn fill, used at 45° / 135° |\n| **Surfaces** | light & dark chart-surface colors (the validator needs these) |\n| **Filter controls** | date-range & dimension controls (behavioral spec in `interaction.md`) |\n\nTo onboard a new system: fill those rows, feed its ramps to the validator, and let\nit snap each slot to the nearest passing step. Structure and rules stay as written.\n\n## Reference files\n\n| File | What it answers |\n|------|-----------------|\n| `references/choosing-a-form.md` | Which chart type / is it even a chart? |\n| `references/color-formula.md` | The four jobs, the six checks, snap-to-passing |\n| `references/marks-and-anatomy.md` | Mark specs, spacers, labels, figures, hero number |\n| `references/interaction.md` | Tooltips & hover, filters & time ranges |\n| `references/components.md` | The pieces a chart is made of — build each in plain HTML |\n| `references/anti-patterns.md` | **What goes wrong — check every chart against this** |\n| `references/palette.md` | **The reference palette instance** — every parameter, filled in; swap for your brand's |\n| `scripts/validate_palette.js` | Runnable six-checks validator (run it; don't eyeball) |\n\n\n## User Request\n\nRedesign of premium editorial SVG charts (line/index charts, sparklines, range bars, distribution bars) for a black/off-white/red Bloomberg×FT-style real-estate data product, hand-rolled React SVG, no chart library"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"eccd4c19-d49f-4f04-bcbc-04739e23eeb9","timestamp":"2026-08-25T21:02:44.699Z","isSynthetic":true}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b8dbe443-ed3a-4a35-9d6a-6e6d64b6a50e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"d169c48c-b541-4de3-ae4b-9c82be09ff78","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"7ab84168-27ba-417c-ac57-73c468339a76","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"6a494a02-5f45-4e7f-a84a-d5c6741246ac","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9FDyfNnh3TkuXWoPbD","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2917,"cache_read_input_tokens":107006,"cache_creation":{"ephemeral_5m_input_tokens":2917,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"dbf08ce5-27ce-4810-8ecf-1372868afadf","request_id":"req_011CeQ9FCU8BQx7heZRmyxqC"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":150,"uuid":"4aef2fd5-6217-499d-8e01-e33eb01465ea","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9FDyfNnh3TkuXWoPbD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QAMHAFiGE9WQjnpkMvRYiU","name":"Read","input":{"file_path":"/private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz/references/marks-and-anatomy.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2917,"cache_read_input_tokens":107006,"cache_creation":{"ephemeral_5m_input_tokens":2917,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"851af48c-3329-45e0-af0c-1314735dd64a","request_id":"req_011CeQ9FCU8BQx7heZRmyxqC"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QAMHAFiGE9WQjnpkMvRYiU","type":"tool_result","content":"1\t# Marks & anatomy\n2\t\n3\tThe quiet, considered look is a few fixed specs plus two pieces of negative space.\n4\tThe data is the only thing allowed to be loud.\n5\t\n6\t## Mark specs (fixed across every chart)\n7\t\n8\t| Mark | Spec |\n9\t|---|---|\n10\t| Bar / column | **≤ 24px thick** (cap it — never fill the slot; let the band's leftover be air); **4px rounded data-end, square at the baseline**; grows from a single baseline |\n11\t| Line | **2px**, round join/cap |\n12\t| Marker / end-dot | **≥ 8px** (r ≥ 4), filled with the series color |\n13\t| Area fill | the series hue at **~10% opacity** (a wash, never a saturated block) |\n14\t| Gridlines / axes | one-step-off-surface gray, **hairline (1px), solid** (never dashed), recessive |\n15\t\n16\t## The two spacers (white doing the separating)\n17\t\n18\t- **Surface gap.** A **2px gap** in the surface color separates touching marks — every\n19\t  segment of a stacked bar, and every adjacent (touching) bar, the same width. Keep it\n20\t  one consistent width across a stack; neighbors one step apart read distinct because of\n21\t  the gap, not a stroke drawn around them.\n22\t- **Surface ring.** Dots and end-markers carry a **2px ring in the surface color**,\n23\t  so they stay legible where they cross a line or overlap each other. The ring is part\n24\t  of the mark's hover/hit target, not just spacing — see `interaction.md` (small dots\n25\t  are easy to under-size for hover).\n26\t\n27\tNever draw a border around a mark to separate it. The gap and the ring are the\n28\tmechanism; a stroke adds data-weight ink that isn't data.\n29\t\n30\t## Labels & legend\n31\t\n32\tA **legend is always present for two or more series** — the dependable identity\n33\tchannel; never make the reader rely on color-matching alone. Direct labels then ride\n34\tthe marks to *supplement* it. **A single series needs no legend box**: there is only\n35\tone color, so the chart's title or subtitle already says what is plotted. A box with\n36\tone swatch restates the title and costs space.\n37\t\n38\t- **Label selectively — never a number on every point.** A value beside every dot or\n39\t  segment is chaos and goes unread. Label the endpoint, the extreme, or the one series\n40\t  the story is about; let the axis, the legend, and the tooltip/table carry the rest.\n41\t  Direct labels work *because* they are sparing — flood the chart and they stop working.\n42\t- **Direct labels before gridlines; gridlines before a second axis.**\n43\t- **A label that won't fit doesn't get clipped — measure first.** Only place a label\n44\t  *inside* a bar or stacked segment when the rendered text fits with comfortable\n45\t  padding on both sides. If it doesn't fit: for a whole bar/column, move the label\n46\t  outside the bar end (or to the tooltip if there's no room outside either); for an\n47\t  *interior* stacked segment (which has no free end),\n48\t  skip the inline label and let the legend + tooltip carry it. Either way the value\n49\t  stays in the table view, so nothing is gated. Never use `overflow: hidden` on the\n50\t  segment to \"solve\" it — that crops the first/last characters and is worse than no\n51\t  label. Text never overflows or is clipped by its own mark.\n52\t- Bars → value at the tip. Columns → value on the cap. Lines → value at the end.\n53\t- Y-axis ticks: round to clean numbers (0 / 1,000 / 2,000), thousands-comma'd; they\n54\t  carry the values you didn't directly label, so keep them unless every value is labeled.\n55\t- **Text never wears the data color.** Marks — bars, lines, dots, area fills — carry\n56\t  the series color; labels, values, legends, and axis text use **text tokens**\n57\t  (primary / secondary / muted). A light categorical hue (yellow, aqua) is illegible\n58\t  as text on the surface. Identity comes from the colored mark *beside* the text — a\n59\t  dot, a short line-key, a swatch — never from coloring the text itself. A label set\n60\t  *inside* a colored fill (a stacked segment, a map tile) is the one exception: pick\n61\t  white or ink by the fill's luminance so it always clears contrast.\n62\t- **When end-labels collide, don't stack them.** Direct end-labels work when series\n63\t  separate at the right edge. When lines converge, nudging labels apart vertically\n64\t  detaches them from their lines and reads as noise — instead use **leader lines**\n65\t  (a thin connector from label to line-end), facet into **small multiples**, or fall\n66\t  back to the legend + tooltip. Past ~4 converging series, small multiples is usually right.\n67\t\n68\t## Figures — when the form is a number\n69\t\n70\t- **Stat tile** contract: `label` (sentence case, no trailing colon) · `value` (Sans\n71\t  semibold, auto-compact: 1,284 / 12.9K / $4.2M) · `delta` (optional; signed,\n72\t  vs a named period; color = direction × whether up is good) · `trend` (optional;\n73\t  12-point sparkline in the de-emphasis hue, current period in the accent).\n74\t- **Meter:** the fill carries severity (accent → warning → danger); the unfilled\n75\t  track is a **lighter step of the same ramp** (blue-on-blue, etc.) so state reads\n76\t  across the whole bar.\n77\t- **Hero figure.** The single number a dashboard leads with, ≥48px, in the same\n78\t  sans as everything else (never a display or serif face — it reads as off-brand\n79\t  decoration). Exactly one per view.\n80\t- **Proportional figures for big numbers; tabular only in columns.** A large\n81\t  standalone value (hero figure, stat-tile value) uses the font's default\n82\t  proportional figures — `tabular-nums` gives every digit the width of a `0`, so a\n83\t  number like `121` looks loose at display sizes. Reserve\n84\t  `font-variant-numeric: tabular-nums` for columns of numbers that must align\n85\t  vertically (table rows, axis ticks).\n86\t\n87\t## Texture — the backup channel (opt-in)\n88\t\n89\tWhere hue fails — full-severity CVD, grayscale print, `forced-colors` — texture\n90\tcarries identity. One directional hand-drawn fill, used at **45° and its 135° mirror\n91\tonly** (never horizontal/vertical — those read as gridlines/bars). Inked tone-on-tone\n92\t(a step from the fill's own ramp), equal loudness across slots. On value scales the\n93\ttexture is *ordered* (rotation steps with magnitude; arm angle carries the diverging\n94\tsign) so it never misstates the value. Triggered by an accessibility setting, print,\n95\tor `forced-colors` — never on by default. (See `palette.md`.)\n96\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6b7f9b13-31d9-4698-bc6d-5dc8ae999263","timestamp":"2026-08-25T21:02:53.688Z","tool_use_result":{"type":"text","file":{"filePath":"/private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz/references/marks-and-anatomy.md","content":"# Marks & anatomy\n\nThe quiet, considered look is a few fixed specs plus two pieces of negative space.\nThe data is the only thing allowed to be loud.\n\n## Mark specs (fixed across every chart)\n\n| Mark | Spec |\n|---|---|\n| Bar / column | **≤ 24px thick** (cap it — never fill the slot; let the band's leftover be air); **4px rounded data-end, square at the baseline**; grows from a single baseline |\n| Line | **2px**, round join/cap |\n| Marker / end-dot | **≥ 8px** (r ≥ 4), filled with the series color |\n| Area fill | the series hue at **~10% opacity** (a wash, never a saturated block) |\n| Gridlines / axes | one-step-off-surface gray, **hairline (1px), solid** (never dashed), recessive |\n\n## The two spacers (white doing the separating)\n\n- **Surface gap.** A **2px gap** in the surface color separates touching marks — every\n  segment of a stacked bar, and every adjacent (touching) bar, the same width. Keep it\n  one consistent width across a stack; neighbors one step apart read distinct because of\n  the gap, not a stroke drawn around them.\n- **Surface ring.** Dots and end-markers carry a **2px ring in the surface color**,\n  so they stay legible where they cross a line or overlap each other. The ring is part\n  of the mark's hover/hit target, not just spacing — see `interaction.md` (small dots\n  are easy to under-size for hover).\n\nNever draw a border around a mark to separate it. The gap and the ring are the\nmechanism; a stroke adds data-weight ink that isn't data.\n\n## Labels & legend\n\nA **legend is always present for two or more series** — the dependable identity\nchannel; never make the reader rely on color-matching alone. Direct labels then ride\nthe marks to *supplement* it. **A single series needs no legend box**: there is only\none color, so the chart's title or subtitle already says what is plotted. A box with\none swatch restates the title and costs space.\n\n- **Label selectively — never a number on every point.** A value beside every dot or\n  segment is chaos and goes unread. Label the endpoint, the extreme, or the one series\n  the story is about; let the axis, the legend, and the tooltip/table carry the rest.\n  Direct labels work *because* they are sparing — flood the chart and they stop working.\n- **Direct labels before gridlines; gridlines before a second axis.**\n- **A label that won't fit doesn't get clipped — measure first.** Only place a label\n  *inside* a bar or stacked segment when the rendered text fits with comfortable\n  padding on both sides. If it doesn't fit: for a whole bar/column, move the label\n  outside the bar end (or to the tooltip if there's no room outside either); for an\n  *interior* stacked segment (which has no free end),\n  skip the inline label and let the legend + tooltip carry it. Either way the value\n  stays in the table view, so nothing is gated. Never use `overflow: hidden` on the\n  segment to \"solve\" it — that crops the first/last characters and is worse than no\n  label. Text never overflows or is clipped by its own mark.\n- Bars → value at the tip. Columns → value on the cap. Lines → value at the end.\n- Y-axis ticks: round to clean numbers (0 / 1,000 / 2,000), thousands-comma'd; they\n  carry the values you didn't directly label, so keep them unless every value is labeled.\n- **Text never wears the data color.** Marks — bars, lines, dots, area fills — carry\n  the series color; labels, values, legends, and axis text use **text tokens**\n  (primary / secondary / muted). A light categorical hue (yellow, aqua) is illegible\n  as text on the surface. Identity comes from the colored mark *beside* the text — a\n  dot, a short line-key, a swatch — never from coloring the text itself. A label set\n  *inside* a colored fill (a stacked segment, a map tile) is the one exception: pick\n  white or ink by the fill's luminance so it always clears contrast.\n- **When end-labels collide, don't stack them.** Direct end-labels work when series\n  separate at the right edge. When lines converge, nudging labels apart vertically\n  detaches them from their lines and reads as noise — instead use **leader lines**\n  (a thin connector from label to line-end), facet into **small multiples**, or fall\n  back to the legend + tooltip. Past ~4 converging series, small multiples is usually right.\n\n## Figures — when the form is a number\n\n- **Stat tile** contract: `label` (sentence case, no trailing colon) · `value` (Sans\n  semibold, auto-compact: 1,284 / 12.9K / $4.2M) · `delta` (optional; signed,\n  vs a named period; color = direction × whether up is good) · `trend` (optional;\n  12-point sparkline in the de-emphasis hue, current period in the accent).\n- **Meter:** the fill carries severity (accent → warning → danger); the unfilled\n  track is a **lighter step of the same ramp** (blue-on-blue, etc.) so state reads\n  across the whole bar.\n- **Hero figure.** The single number a dashboard leads with, ≥48px, in the same\n  sans as everything else (never a display or serif face — it reads as off-brand\n  decoration). Exactly one per view.\n- **Proportional figures for big numbers; tabular only in columns.** A large\n  standalone value (hero figure, stat-tile value) uses the font's default\n  proportional figures — `tabular-nums` gives every digit the width of a `0`, so a\n  number like `121` looks loose at display sizes. Reserve\n  `font-variant-numeric: tabular-nums` for columns of numbers that must align\n  vertically (table rows, axis ticks).\n\n## Texture — the backup channel (opt-in)\n\nWhere hue fails — full-severity CVD, grayscale print, `forced-colors` — texture\ncarries identity. One directional hand-drawn fill, used at **45° and its 135° mirror\nonly** (never horizontal/vertical — those read as gridlines/bars). Inked tone-on-tone\n(a step from the fill's own ramp), equal loudness across slots. On value scales the\ntexture is *ordered* (rotation steps with magnitude; arm angle carries the diverging\nsign) so it never misstates the value. Triggered by an accessibility setting, print,\nor `forced-colors` — never on by default. (See `palette.md`.)\n","numLines":96,"startLine":1,"totalLines":96}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9FDyfNnh3TkuXWoPbD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016teJvntBG7V2w3onVMUfoh","name":"Read","input":{"file_path":"/private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz/references/interaction.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2917,"cache_read_input_tokens":107006,"cache_creation":{"ephemeral_5m_input_tokens":2917,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d259ff51-c6cb-4d35-87a0-01b3f1dce728","request_id":"req_011CeQ9FCU8BQx7heZRmyxqC"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016teJvntBG7V2w3onVMUfoh","type":"tool_result","content":"1\t# Interaction — tooltips & filters\n2\t\n3\tAn HTML chart is interactive by default — the hover layer is part of the deliverable,\n4\tnot an upgrade. Omitting it is the exception (a bare stat tile), never the default.\n5\tDesign it with the same care as the static render.\n6\t\n7\t## Tooltips & hover\n8\t\n9\tTooltips **enhance, they never gate**: every value a tooltip shows is also reachable\n10\twithout it, through direct labels or the table view. Same details on keyboard focus\n11\tas on hover.\n12\t\n13\t- **The crosshair finds the X.** A vertical hairline tracks the pointer and snaps to\n14\t  the nearest data position. Readers aim at a date, never at a 2px line.\n15\t- **On bars and cells, the mark is the hit target.** No crosshair — each bar, segment,\n16\t  dot, or heat-cell carries its own `pointermove`/`focus` tooltip showing category and\n17\t  value, and the hovered mark lifts (slight lighten or outline) so the reader sees it respond.\n18\t- **One tooltip, every series.** The readout lists every series at that X — the\n19\t  pointer never has to land on a line or a fill to get a value.\n20\t- **Labels are untrusted data — use `textContent`.** Series and category names\n21\t  often come from CSV headers, tool output, or API responses. Insert them into\n22\t  tooltip/legend/table DOM with `textContent` or `createTextNode`, never via\n23\t  `innerHTML` string concatenation.\n24\t- **Values lead, labels follow.** In the tooltip the value is the Strong,\n25\t  high-contrast element and the series name is secondary — the legend's hierarchy\n26\t  inverted, because here the reader has the series and wants the number.\n27\t- **Line keys, not boxes.** Tooltip rows key their series with a short stroke of the\n28\t  series color; at tooltip density a filled box is data-weight ink doing a label's\n29\t  job. (Legends still mirror the mark: rect for bars/areas, line for lines.)\n30\t- **The hit target is bigger than the mark.** A mark's hover/focus area includes its\n31\t  2px surface gap and then some — never only the painted pixels. An 8px scatter dot is a\n32\t  pinpoint nobody hits reliably; give each point a transparent hit area of at least\n33\t  **24px**, or — for dense scatter — a nearest-point / Voronoi layer so the pointer only\n34\t  has to be *closest*, not dead-center. (The crosshair already does this for the X on\n35\t  line and bar charts; scatter and bubble need the per-point version.)\n36\t- **A value pushed off its mark lives in the tooltip.** When a label won't fit inside a\n37\t  small bar (see `marks-and-anatomy.md`), that bar's hit area carries the value on hover\n38\t  and focus — the tooltip is its overflow home, and the table view keeps it reachable\n39\t  without hovering at all.\n40\t\n41\t## Filters & time ranges\n42\t\n43\tEvery monitoring dashboard needs the same controls. These are **standard UI, not\n44\tchart marks** — build them with ordinary HTML form controls styled to match the\n45\tchart chrome. Dataviz only adds composition rules:\n46\t\n47\t- **One row, above the charts.** Filters sit in a single left-aligned row above the\n48\t  content they scope — never inside a chart card, never per-chart. If one chart needs\n49\t  its own range, it's a different dashboard.\n50\t- **Date range first.** It's the filter every reader reaches for; presets (today,\n51\t  last 7 / 30 / 90 days) before a custom range.\n52\t- **Filters scope everything below them.** Every chart, stat, and table re-renders\n53\t  against the same slice, so the numbers always agree.\n54\t- **Refetch keeps the frame.** While data reloads, charts hold their previous render\n55\t  at reduced opacity — no skeleton, no layout jump, no flash.\n56\t\n57\tA good date picker lists presets as rows (nobody fights a calendar grid for \"last 30\n58\tdays\"), marks selection with a 16px bold check, keeps hover a ghost wash so it never\n59\tcompetes with selection, and tucks the custom range behind a hairline in the footer.\n60\t(See `palette.md` for the reference spec.)\n61\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6413fe0b-f6e6-4197-90d2-0713cba31add","timestamp":"2026-08-25T21:02:54.099Z","tool_use_result":{"type":"text","file":{"filePath":"/private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz/references/interaction.md","content":"# Interaction — tooltips & filters\n\nAn HTML chart is interactive by default — the hover layer is part of the deliverable,\nnot an upgrade. Omitting it is the exception (a bare stat tile), never the default.\nDesign it with the same care as the static render.\n\n## Tooltips & hover\n\nTooltips **enhance, they never gate**: every value a tooltip shows is also reachable\nwithout it, through direct labels or the table view. Same details on keyboard focus\nas on hover.\n\n- **The crosshair finds the X.** A vertical hairline tracks the pointer and snaps to\n  the nearest data position. Readers aim at a date, never at a 2px line.\n- **On bars and cells, the mark is the hit target.** No crosshair — each bar, segment,\n  dot, or heat-cell carries its own `pointermove`/`focus` tooltip showing category and\n  value, and the hovered mark lifts (slight lighten or outline) so the reader sees it respond.\n- **One tooltip, every series.** The readout lists every series at that X — the\n  pointer never has to land on a line or a fill to get a value.\n- **Labels are untrusted data — use `textContent`.** Series and category names\n  often come from CSV headers, tool output, or API responses. Insert them into\n  tooltip/legend/table DOM with `textContent` or `createTextNode`, never via\n  `innerHTML` string concatenation.\n- **Values lead, labels follow.** In the tooltip the value is the Strong,\n  high-contrast element and the series name is secondary — the legend's hierarchy\n  inverted, because here the reader has the series and wants the number.\n- **Line keys, not boxes.** Tooltip rows key their series with a short stroke of the\n  series color; at tooltip density a filled box is data-weight ink doing a label's\n  job. (Legends still mirror the mark: rect for bars/areas, line for lines.)\n- **The hit target is bigger than the mark.** A mark's hover/focus area includes its\n  2px surface gap and then some — never only the painted pixels. An 8px scatter dot is a\n  pinpoint nobody hits reliably; give each point a transparent hit area of at least\n  **24px**, or — for dense scatter — a nearest-point / Voronoi layer so the pointer only\n  has to be *closest*, not dead-center. (The crosshair already does this for the X on\n  line and bar charts; scatter and bubble need the per-point version.)\n- **A value pushed off its mark lives in the tooltip.** When a label won't fit inside a\n  small bar (see `marks-and-anatomy.md`), that bar's hit area carries the value on hover\n  and focus — the tooltip is its overflow home, and the table view keeps it reachable\n  without hovering at all.\n\n## Filters & time ranges\n\nEvery monitoring dashboard needs the same controls. These are **standard UI, not\nchart marks** — build them with ordinary HTML form controls styled to match the\nchart chrome. Dataviz only adds composition rules:\n\n- **One row, above the charts.** Filters sit in a single left-aligned row above the\n  content they scope — never inside a chart card, never per-chart. If one chart needs\n  its own range, it's a different dashboard.\n- **Date range first.** It's the filter every reader reaches for; presets (today,\n  last 7 / 30 / 90 days) before a custom range.\n- **Filters scope everything below them.** Every chart, stat, and table re-renders\n  against the same slice, so the numbers always agree.\n- **Refetch keeps the frame.** While data reloads, charts hold their previous render\n  at reduced opacity — no skeleton, no layout jump, no flash.\n\nA good date picker lists presets as rows (nobody fights a calendar grid for \"last 30\ndays\"), marks selection with a 16px bold check, keeps hover a ghost wash so it never\ncompetes with selection, and tucks the custom range behind a hairline in the footer.\n(See `palette.md` for the reference spec.)\n","numLines":61,"startLine":1,"totalLines":61}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"23df3f2b-ccfb-4584-8374-e0f11614bec6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"898c106a-e22f-46fb-a327-2dda7d9a67ac","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"3f240f9d-5fc9-4875-a0ff-9876b58c0808","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":167,"estimated_tokens_delta":17,"uuid":"fd73b719-84ab-44ec-bba2-b0d707aeada0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9FvBsQGBgt7b2qBYG2","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISkwUKpwEIERgCKkBcC/UDins8sARsS+89DtOtEwrHrxmhDHWM/H+gNpTV3RnUT9P4/HwKu12F/6gHmHNDmebLmyNvvrcvo/wz89dAMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGFhrjUBrABAhIMb2QFltceM6Is+gaVGgzV/vDAOzdDAWYI6QIiMEMJnyTntlG9rX/Dza9D8F52v8EBgNvKxrr6juljF9uCF5GNbpGUlpXK6dz1kvrxiiqYA2eJTK0moHy5Zzc1d5c4IDRaUiva08liYBWkW8joV/G0vIoIeBu6u9QG4sxpUh2dLFakyasNOtheGER4xclLar95M5u2GPcvS+WmyUcVS+gOzyCgM0i7w/uVYWCqZ8ZsJFq2mZkL/ujJ4/T4txTnnMp/WKcQt7d9MDSZ5KwyQb2CGY6ZqLNcyJTDYkAPZr1FZ/2Y+cqCwilHUd86FMnFa+i4ewkP0oBxq0CcXPj+HWUdLcuZL8z5ltzj8tPebQU388OJG8eYp+brHKrOIux7eyPv/IWSbwlZX0rgjCM3CuC+Gxc0HoixmLe6zJBh4TEPYNvJ8pQOd3JHI1lq+N2B/9kktE2qQ88a483UUVV6rpVVDX/+Qj+ZgHwRWeFHUMUMIDZV/Pl0T1Qgx9aMxW+NznhvppOGToOGsvU+tQDG3xwIy3CyBYCuYtPWHnyYa9dXBcACDuQ6L8oB2VjFgB195iwz0pb5y07urLXIieA+eAqpNlZNCaRxrIPr058P2Wu5AAOfCzlNcPwmiSBF2zzUK977M6g/VGksixgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4373,"cache_read_input_tokens":109923,"cache_creation":{"ephemeral_5m_input_tokens":4373,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f4ce85c7-155c-4b4a-a96c-eee7e54d7d93","request_id":"req_011CeQ9FtgaboMckyJwGs9gV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9FvBsQGBgt7b2qBYG2","type":"message","role":"assistant","content":[{"type":"text","text":"Je valide les palettes catégorielles (3 séries : Maison/Condo/Plex) sur les deux surfaces avec le script du skill."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4373,"cache_read_input_tokens":109923,"cache_creation":{"ephemeral_5m_input_tokens":4373,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3adfcf62-ca39-4cf0-bd27-a0982384e7e3","request_id":"req_011CeQ9FtgaboMckyJwGs9gV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9FvBsQGBgt7b2qBYG2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QQCmTeSUV6ikirqqbuCzS5","name":"Bash","input":{"command":"cd /private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz && node scripts/validate_palette.js \"#141814,#ff5148,#8b928c\" --mode light --surface \"#f5f3ee\"; echo ===DARK===; node scripts/validate_palette.js \"#f5f3ee,#ff5148,#8b928c\" --mode dark --surface \"#141814\"","description":"Validate candidate chart palettes on light and dark surfaces"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4373,"cache_read_input_tokens":109923,"cache_creation":{"ephemeral_5m_input_tokens":4373,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1b42b733-a267-4ad4-8882-2ca0156e16d7","request_id":"req_011CeQ9FtgaboMckyJwGs9gV"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#8b928c\",0.012]]\n  [PASS] CVD separation         worst adjacent #8b928c↔#ff5148 ΔE 28.0 (protan) · tritan 89.2 · normal 79.9\n  [WARN] Contrast vs surface    below 3:1 — relief required (visible labels or table view): [[\"#ff5148\",2.9],[\"#8b928c\",2.87]]\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity.\n\n(eval):1: ==DARK=== not found","is_error":true,"tool_use_id":"toolu_01QQCmTeSUV6ikirqqbuCzS5"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c8a69495-0b0f-4c5c-b6e4-3337314af012","timestamp":"2026-08-25T21:03:03.883Z","tool_use_result":"Error: Exit code 1\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#8b928c\",0.012]]\n  [PASS] CVD separation         worst adjacent #8b928c↔#ff5148 ΔE 28.0 (protan) · tritan 89.2 · normal 79.9\n  [WARN] Contrast vs surface    below 3:1 — relief required (visible labels or table view): [[\"#ff5148\",2.9],[\"#8b928c\",2.87]]\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity.\n\n(eval):1: ==DARK=== not found"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"781955b2-7fce-4a38-a466-8e1cf77d6e43","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"5d7fe238-3bae-4923-8a37-dccde05ae138","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"0478a511-7833-4dfc-9aa4-56553467a607","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"e9a79c4c-7f84-45e8-9b5a-5c1dd7849394","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":50,"uuid":"96ef06f4-4611-4ab5-bf1f-35db93949310","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"e685094e-3938-418f-b3d0-fa48686e0f23","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":150,"uuid":"5f662647-7fb6-4fcb-bbb6-71cfc1bffea1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"705e1c6d-4456-49d5-87c1-50237e7c1ae3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":50,"uuid":"a50e5b1e-9426-4633-80dd-44b9b4579aa3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"ed0caeac-7994-4352-bd9e-4ec74c4dbf82","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"88f65104-99d0-4fbe-949a-568d25726089","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":50,"uuid":"9e57563c-9152-4101-b3ac-2ec8611560b1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":100,"uuid":"c1f7c34a-870e-4fa8-958a-fb5d957b1d5f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":50,"uuid":"48f86cd1-b0f9-44ad-b951-414f6290bfa0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1200,"estimated_tokens_delta":150,"uuid":"93e085a4-0dee-410e-b087-6508fb8799aa","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1300,"estimated_tokens_delta":100,"uuid":"907583cd-6fd8-412c-aa39-ad0c4d949a9a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1400,"estimated_tokens_delta":100,"uuid":"a4def449-4912-4eea-8599-a5620d7c3a24","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":50,"uuid":"276a3c08-d1a5-410a-bb2b-f3bd406259e7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1550,"estimated_tokens_delta":100,"uuid":"114837b5-b721-4925-8df6-06be13de66f1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1600,"estimated_tokens_delta":50,"uuid":"1cb6ff30-7ce5-45a8-8351-3ec49273483b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1700,"estimated_tokens_delta":100,"uuid":"23095b3a-926e-4b70-90aa-ec28241d0242","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1750,"estimated_tokens_delta":50,"uuid":"a9177719-3905-412f-ae39-fe896c418b23","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1850,"estimated_tokens_delta":100,"uuid":"cd03796e-f7d3-407d-9067-6e80f5d5e4e2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1950,"estimated_tokens_delta":100,"uuid":"2b7e3fb6-c756-4252-9c2e-7a02c53da013","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2100,"estimated_tokens_delta":150,"uuid":"7c6ecb34-c401-439c-87bf-76e7b1e11cb7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2200,"estimated_tokens_delta":100,"uuid":"9c57cccd-2642-4499-a7ae-62c63d24adcc","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2300,"estimated_tokens_delta":100,"uuid":"396a1b5f-0e70-4089-b3ba-82f4f99001b7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2400,"estimated_tokens_delta":100,"uuid":"41002099-a312-4aa7-a2aa-1a8f65253165","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2500,"estimated_tokens_delta":100,"uuid":"3ddbe3ca-2b78-4e37-8dd0-70c45d44d881","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2600,"estimated_tokens_delta":100,"uuid":"52186695-fb86-41a0-ab1c-9b18e9d3457b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2650,"estimated_tokens_delta":50,"uuid":"e96a849d-362c-4b96-8ed4-e16aa7d3c306","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2750,"estimated_tokens_delta":100,"uuid":"3297c1ee-2f25-46a1-9de1-0ace7f142044","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2850,"estimated_tokens_delta":100,"uuid":"aa935f57-5192-442d-aec7-8ac78daabc75","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":2950,"estimated_tokens_delta":100,"uuid":"0161c6d2-61dd-40df-8e9e-d874773716a9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":3000,"estimated_tokens_delta":50,"uuid":"5b285920-9045-41f1-9425-813780675ff7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9GdtN5R1eUXzRVbZze","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":811,"cache_read_input_tokens":114296,"cache_creation":{"ephemeral_5m_input_tokens":811,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f21cc15f-892e-428a-9f1f-59a95eecd45b","request_id":"req_011CeQ9GcSoRzEY8A8zGSZcV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9GdtN5R1eUXzRVbZze","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISmwUKqAEIERgCKkDqqYdg+PWblRgpVH+bEMHtfqBSWyKQOd0785GqkIUg95IAWrgOp4gC57g5kdCug8GO+RORnFcLGA8kcc1k1EhhMg5jbGF1ZGUtZmFibGUtNTgBQgluYXJyYXRpb25aJDZmY2M4ZjgzLTFmOWMtNGQzMy1iYTA3LTRkNGRmMzdkNjdmNXIQHSFahiYOz86M3z97Uqk2VogBAagBvoa41AawAQISDAkFNbFBhQyTsxHweRoM1zu+3ezBZ0glnwltIjCnMhcePfj0W9KcjvMOt5R36JiBQYYxMJ0fkOYJU9ABejQUBS0ZsEir+DRpAWhPZgwqnwPjBKd5E20kXlGvWYnJsCf67GRUVqKjhYhWoVBb3/RruYE0b89OzzBJeeHJ71qDiyjV3B8MKAba7WgzDy/+2aHErLtNfUkGh3+tB41hR60Zl4JeIZEb5KYAT5VcpaMgxn5Ku0EppzM69CbUhmx87KYdEIcvr1ojl3QLNbeIXWw3QtXTjqKUbeRLvH+M9/X2THdJKZJxxdvWpyAkTLEMh666C+kUjeOPlhgvbwtFr4yt+zgKD4u9VRq6vCVTey49/Mx83Se0pVe1zM/RyljAn56zH+Lf/hU/Lf1A4vcO9NPE4xf24CaAHTIPwLlvTPKYLkj+ZobpAwbXyo49NBpT8iKdVyBPi/Ms1KpvNMaieiQlYQYZy8EXBSfEQJLQ9dYxNbYYKtsMrud5y6r3XBv4iLN2WR6dN+EUKGXnEWUm2h3pNfjBAwLEKgMCCMnKflJJxvvkWYQNeP9BgnkAqZfONiIviv5/P5+3OKWn56YhCYnUHl1pOp1VOVl/jYmCHyalfmLFMeBouQ/AkrYjf2tO0vBxZKCyw+GNmT0yAaudPZ7QGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":811,"cache_read_input_tokens":114296,"cache_creation":{"ephemeral_5m_input_tokens":811,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f79bd739-e03e-4a2b-baf0-e9f993ac4a16","request_id":"req_011CeQ9GcSoRzEY8A8zGSZcV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9GdtN5R1eUXzRVbZze","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FRLz53XSzPBD8dZtpDc63G","name":"ToolSearch","input":{"query":"select:TaskCreate","max_results":1},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":811,"cache_read_input_tokens":114296,"cache_creation":{"ephemeral_5m_input_tokens":811,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"84772e37-0759-4cbc-a0cf-c7353c9a16ea","request_id":"req_011CeQ9GcSoRzEY8A8zGSZcV"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01FRLz53XSzPBD8dZtpDc63G","content":[{"type":"tool_reference","tool_name":"TaskCreate"}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"338c0dfd-5e53-4924-8761-3f9a4dc812b0","timestamp":"2026-08-25T21:03:58.873Z","tool_use_result":{"matches":["TaskCreate"],"query":"select:TaskCreate","total_deferred_tools":18}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9GdtN5R1eUXzRVbZze","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KHQCgmiJpLCmrmckNurgSn","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":811,"cache_read_input_tokens":114296,"cache_creation":{"ephemeral_5m_input_tokens":811,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c1bf6dff-18d3-47ab-84bd-f60ef7bb1e3d","request_id":"req_011CeQ9GcSoRzEY8A8zGSZcV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9GdtN5R1eUXzRVbZze","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LCpXxTmFPnEprTbYgyj6wU","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":811,"cache_read_input_tokens":114296,"cache_creation":{"ephemeral_5m_input_tokens":811,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1533b375-7598-417e-b182-a63cb074fda0","request_id":"req_011CeQ9GcSoRzEY8A8zGSZcV"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KHQCgmiJpLCmrmckNurgSn","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t/**\n3\t * Bouton compte de l'en-tête (KA ID — SSO du Groupe KA).\n4\t *   · Déconnecté : pilule « KA ID » → /api/auth/ka/login?next=<page courante>\n5\t *   · Connecté   : avatar (ou initiale) + prénom → /compte\n6\t * Composant client : interroge /api/auth/me au montage (session cookie httpOnly).\n7\t */\n8\t\"use client\";\n9\timport { useEffect, useState } from \"react\";\n10\timport Link from \"next/link\";\n11\timport { usePathname } from \"next/navigation\";\n12\timport { useLang } from \"./LangContext\";\n13\t\n14\ttype MeUser = {\n15\t  ka_id: string;\n16\t  email: string;\n17\t  name: string;\n18\t  picture: string;\n19\t  provider: string;\n20\t};\n21\t\n22\texport default function AccountButton() {\n23\t  const { lang } = useLang();\n24\t  const fr = lang === \"fr\";\n25\t  const path = usePathname();\n26\t  // undefined = chargement (on ne montre rien pour éviter le clignotement)\n27\t  const [user, setUser] = useState<MeUser | null | undefined>(undefined);\n28\t\n29\t  useEffect(() => {\n30\t    let alive = true;\n31\t    fetch(\"/api/auth/me\")\n32\t      .then((r) => r.json())\n33\t      .then((d) => alive && setUser(d?.user ?? null))\n34\t      .catch(() => alive && setUser(null));\n35\t    return () => {\n36\t      alive = false;\n37\t    };\n38\t  }, [path]);\n39\t\n40\t  if (user === undefined) {\n41\t    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n42\t  }\n43\t\n44\t  if (user === null) {\n45\t    return (\n46\t      <a\n47\t        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n48\t        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-full border-[1.5px] border-ink bg-ink px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-lime transition-all hover:bg-green-deep\"\n49\t        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n50\t      >\n51\t        KA&nbsp;ID\n52\t      </a>\n53\t    );\n54\t  }\n55\t\n56\t  const prenom = (user.name || user.email).split(\" \")[0];\n57\t  return (\n58\t    <Link\n59\t      href=\"/compte\"\n60\t      className=\"group inline-flex min-h-[36px] items-center gap-2 rounded-full border-[1.5px] border-ink bg-surface py-1 pl-1 pr-3 transition-all hover:bg-lime-soft\"\n61\t      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n62\t    >\n63\t      {user.picture ? (\n64\t        // eslint-disable-next-line @next/next/no-img-element\n65\t        <img\n66\t          src={user.picture}\n67\t          alt=\"\"\n68\t          referrerPolicy=\"no-referrer\"\n69\t          className=\"h-7 w-7 rounded-full border border-ink object-cover\"\n70\t        />\n71\t      ) : (\n72\t        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-lime\">\n73\t          {prenom.charAt(0).toUpperCase()}\n74\t        </span>\n75\t      )}\n76\t      <span className=\"vp-display max-w-[92px] truncate text-[13px] font-bold text-ink\">\n77\t        {prenom}\n78\t      </span>\n79\t    </Link>\n80\t  );\n81\t}\n82\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7a7b34e3-a783-4b3f-af59-445517add906","timestamp":"2026-08-25T21:04:00.292Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Bouton compte de l'en-tête (KA ID — SSO du Groupe KA).\n *   · Déconnecté : pilule « KA ID » → /api/auth/ka/login?next=<page courante>\n *   · Connecté   : avatar (ou initiale) + prénom → /compte\n * Composant client : interroge /api/auth/me au montage (session cookie httpOnly).\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\ntype MeUser = {\n  ka_id: string;\n  email: string;\n  name: string;\n  picture: string;\n  provider: string;\n};\n\nexport default function AccountButton() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const path = usePathname();\n  // undefined = chargement (on ne montre rien pour éviter le clignotement)\n  const [user, setUser] = useState<MeUser | null | undefined>(undefined);\n\n  useEffect(() => {\n    let alive = true;\n    fetch(\"/api/auth/me\")\n      .then((r) => r.json())\n      .then((d) => alive && setUser(d?.user ?? null))\n      .catch(() => alive && setUser(null));\n    return () => {\n      alive = false;\n    };\n  }, [path]);\n\n  if (user === undefined) {\n    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n  }\n\n  if (user === null) {\n    return (\n      <a\n        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-full border-[1.5px] border-ink bg-ink px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-lime transition-all hover:bg-green-deep\"\n        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n      >\n        KA&nbsp;ID\n      </a>\n    );\n  }\n\n  const prenom = (user.name || user.email).split(\" \")[0];\n  return (\n    <Link\n      href=\"/compte\"\n      className=\"group inline-flex min-h-[36px] items-center gap-2 rounded-full border-[1.5px] border-ink bg-surface py-1 pl-1 pr-3 transition-all hover:bg-lime-soft\"\n      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n    >\n      {user.picture ? (\n        // eslint-disable-next-line @next/next/no-img-element\n        <img\n          src={user.picture}\n          alt=\"\"\n          referrerPolicy=\"no-referrer\"\n          className=\"h-7 w-7 rounded-full border border-ink object-cover\"\n        />\n      ) : (\n        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-lime\">\n          {prenom.charAt(0).toUpperCase()}\n        </span>\n      )}\n      <span className=\"vp-display max-w-[92px] truncate text-[13px] font-bold text-ink\">\n        {prenom}\n      </span>\n    </Link>\n  );\n}\n","numLines":82,"startLine":1,"totalLines":82}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LCpXxTmFPnEprTbYgyj6wU","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport { createContext, useContext, useEffect, useState } from \"react\";\n4\timport { t as translate, type Lang, type TKey } from \"@/lib/i18n\";\n5\t\n6\tconst Ctx = createContext<{\n7\t  lang: Lang;\n8\t  setLang: (l: Lang) => void;\n9\t  t: (k: TKey) => string;\n10\t}>({ lang: \"fr\", setLang: () => {}, t: (k) => translate(\"fr\", k) });\n11\t\n12\texport function LangProvider({ children }: { children: React.ReactNode }) {\n13\t  const [lang, setLangState] = useState<Lang>(\"fr\");\n14\t  useEffect(() => {\n15\t    const saved = window.localStorage.getItem(\"vp-lang\");\n16\t    if (saved !== \"en\" && saved !== \"fr\") return;\n17\t    const id = setTimeout(() => setLangState(saved), 0);\n18\t    return () => clearTimeout(id);\n19\t  }, []);\n20\t  const setLang = (l: Lang) => {\n21\t    setLangState(l);\n22\t    window.localStorage.setItem(\"vp-lang\", l);\n23\t  };\n24\t  return (\n25\t    <Ctx.Provider value={{ lang, setLang, t: (k) => translate(lang, k) }}>\n26\t      {children}\n27\t    </Ctx.Provider>\n28\t  );\n29\t}\n30\t\n31\texport function useLang() {\n32\t  return useContext(Ctx);\n33\t}\n34\t\n35\texport function LangToggle() {\n36\t  const { lang, setLang } = useLang();\n37\t  return (\n38\t    <button\n39\t      onClick={() => setLang(lang === \"fr\" ? \"en\" : \"fr\")}\n40\t      className=\"vp-mono min-h-[36px] rounded-full border-[1.5px] border-ink bg-surface px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-ink transition-all hover:bg-ink hover:text-lime\"\n41\t      aria-label=\"Changer de langue / Switch language\"\n42\t    >\n43\t      {lang === \"fr\" ? \"EN\" : \"FR\"}\n44\t    </button>\n45\t  );\n46\t}\n47\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"39ffe3d7-c664-4862-93af-31d594ddda49","timestamp":"2026-08-25T21:04:00.295Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { createContext, useContext, useEffect, useState } from \"react\";\nimport { t as translate, type Lang, type TKey } from \"@/lib/i18n\";\n\nconst Ctx = createContext<{\n  lang: Lang;\n  setLang: (l: Lang) => void;\n  t: (k: TKey) => string;\n}>({ lang: \"fr\", setLang: () => {}, t: (k) => translate(\"fr\", k) });\n\nexport function LangProvider({ children }: { children: React.ReactNode }) {\n  const [lang, setLangState] = useState<Lang>(\"fr\");\n  useEffect(() => {\n    const saved = window.localStorage.getItem(\"vp-lang\");\n    if (saved !== \"en\" && saved !== \"fr\") return;\n    const id = setTimeout(() => setLangState(saved), 0);\n    return () => clearTimeout(id);\n  }, []);\n  const setLang = (l: Lang) => {\n    setLangState(l);\n    window.localStorage.setItem(\"vp-lang\", l);\n  };\n  return (\n    <Ctx.Provider value={{ lang, setLang, t: (k) => translate(lang, k) }}>\n      {children}\n    </Ctx.Provider>\n  );\n}\n\nexport function useLang() {\n  return useContext(Ctx);\n}\n\nexport function LangToggle() {\n  const { lang, setLang } = useLang();\n  return (\n    <button\n      onClick={() => setLang(lang === \"fr\" ? \"en\" : \"fr\")}\n      className=\"vp-mono min-h-[36px] rounded-full border-[1.5px] border-ink bg-surface px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-ink transition-all hover:bg-ink hover:text-lime\"\n      aria-label=\"Changer de langue / Switch language\"\n    >\n      {lang === \"fr\" ? \"EN\" : \"FR\"}\n    </button>\n  );\n}\n","numLines":47,"startLine":1,"totalLines":47}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9GdtN5R1eUXzRVbZze","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015EXbWq8jfHL6M2jXA96Me8","name":"Bash","input":{"command":"grep -n \"getMarketIndex\" src/lib/db.ts | head -5 && grep -rln \"shadow-\\[\" src/ && grep -rln \"vp-card\\|stat-chip\\|src-wrap\\|\\.hl\\b\\|outline-txt\" src/app src/components | sort","description":"Find getMarketIndex signature and primitive usage across pages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":811,"cache_read_input_tokens":114296,"cache_creation":{"ephemeral_5m_input_tokens":811,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5d03abf2-e702-41bc-aa05-ad19ffba4009","request_id":"req_011CeQ9GcSoRzEY8A8zGSZcV"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015EXbWq8jfHL6M2jXA96Me8","type":"tool_result","content":"112:export function getMarketIndex(typeProp: string): { month: string; idx: number }[] {\nsrc/components/LeadForm.tsx\nsrc/components/SearchBox.tsx\nsrc/components/RadarMap.tsx\nsrc/components/ResultView.tsx\nsrc/components/KaChat.tsx\nsrc/components/StatsView.tsx\nsrc/components/CookieConsent.tsx\nsrc/app/HomeClient.tsx\nsrc/app/compte/CompteClient.tsx\nsrc/app/confidentialite/ConfidentialiteClient.tsx\nsrc/app/favoris/FavorisClient.tsx\nsrc/app/globals.css\nsrc/app/ka/KaHero.tsx\nsrc/app/methodologie/MethodologieClient.tsx\nsrc/app/municipalite/[slug]/[type]/page.tsx\nsrc/app/municipalite/[slug]/page.tsx\nsrc/app/parc/ParcClient.tsx\nsrc/components/KaChat.tsx\nsrc/components/LegalPage.tsx\nsrc/components/ResultView.tsx\nsrc/components/StatsView.tsx","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"cc841d83-330a-4b24-9adc-7ee13d6be5e6","timestamp":"2026-08-25T21:04:02.030Z","tool_use_result":{"stdout":"112:export function getMarketIndex(typeProp: string): { month: string; idx: number }[] {\nsrc/components/LeadForm.tsx\nsrc/components/SearchBox.tsx\nsrc/components/RadarMap.tsx\nsrc/components/ResultView.tsx\nsrc/components/KaChat.tsx\nsrc/components/StatsView.tsx\nsrc/components/CookieConsent.tsx\nsrc/app/HomeClient.tsx\nsrc/app/compte/CompteClient.tsx\nsrc/app/confidentialite/ConfidentialiteClient.tsx\nsrc/app/favoris/FavorisClient.tsx\nsrc/app/globals.css\nsrc/app/ka/KaHero.tsx\nsrc/app/methodologie/MethodologieClient.tsx\nsrc/app/municipalite/[slug]/[type]/page.tsx\nsrc/app/municipalite/[slug]/page.tsx\nsrc/app/parc/ParcClient.tsx\nsrc/components/KaChat.tsx\nsrc/components/LegalPage.tsx\nsrc/components/ResultView.tsx\nsrc/components/StatsView.tsx","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d0793d44-23e1-4601-851e-9669f057f520","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"1b0a4c0c-c80f-4cd2-bd63-f3d50c7497df","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"e51a31b7-8350-4600-922d-377401520a21","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"adfbcabb-42d0-4b5b-a6d5-d407eb771155","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"9e05d2f1-d303-4101-a776-9c992e69bf3f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"d54da796-16c2-4eb8-b191-2257412c10c6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":50,"uuid":"669de768-b67b-46c7-a001-6a966a1376a3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"b8756c99-761e-4b1e-a27c-41a08b5f3283","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"34b763f5-b233-40ba-b64c-9cb126eec6c2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"97ded29c-1349-44e6-ba3c-48cccd701f6b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":100,"uuid":"50c95fd9-0cea-4d3f-bf01-29e77aea2c36","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":50,"uuid":"62e7ed88-a768-4619-81d6-9d546e771f19","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":50,"uuid":"b01561bc-0b27-4c29-8a16-aefefd01a4c6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":100,"uuid":"2f41c9e5-6a9d-47bd-8d0c-2c44fc8d81e8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1100,"estimated_tokens_delta":100,"uuid":"c15fbf36-ac8f-45a0-b18e-e097e2386fb1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":50,"uuid":"5a922bdb-e52a-41ff-a872-9b26003c3a44","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"353bbcf5-b7f6-4df0-99e7-4242c6fff3b5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1300,"estimated_tokens_delta":50,"uuid":"e5a9ef68-d6de-4f93-b5cb-6d6ea0e46eca","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1400,"estimated_tokens_delta":100,"uuid":"69c4b291-38d1-4136-a0d5-70f1a72aeb63","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":50,"uuid":"def79fd4-bec5-484d-9812-41d7671c2cf6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9LvZpoNnYNZRR3KYCi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":107179,"cache_read_input_tokens":15292,"cache_creation":{"ephemeral_5m_input_tokens":107179,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"tools_changed","cache_missed_input_tokens":92309}},"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"83da71b2-20de-4ddc-abb8-a263f9f3a116","request_id":"req_011CeQ9Lu9FeMeZj9c4aJro9"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9LvZpoNnYNZRR3KYCi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ftm1gsQq7dtYSCsFU8n7bD","name":"Bash","input":{"command":"cd /private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz && node scripts/validate_palette.js \"#141814,#9e2a25,#8b928c\" --mode light --surface \"#f5f3ee\" ; node scripts/validate_palette.js \"#141814,#d8372e,#8b928c\" --mode light --surface \"#f5f3ee\"","description":"Validate bordeaux/red-variant chart palettes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":107179,"cache_read_input_tokens":15292,"cache_creation":{"ephemeral_5m_input_tokens":107179,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"tools_changed","cache_missed_input_tokens":92309}},"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"61ae3630-fd2d-466f-a646-17ad5184eeac","request_id":"req_011CeQ9Lu9FeMeZj9c4aJro9"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#8b928c\",0.012]]\n  [PASS] CVD separation         worst adjacent #9e2a25↔#141814 ΔE 28.6 (protan) · tritan 74.4 · normal 63.3\n  [WARN] Contrast vs surface    below 3:1 — relief required (visible labels or table view): [[\"#8b928c\",2.87]]\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity.\n\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#8b928c\",0.012]]\n  [PASS] CVD separation         worst adjacent #8b928c↔#d8372e ΔE 34.2 (protan) · tritan 90.4 · normal 77.7\n  [WARN] Contrast vs surface    below 3:1 — relief required (visible labels or table view): [[\"#8b928c\",2.87]]\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity.","is_error":true,"tool_use_id":"toolu_01Ftm1gsQq7dtYSCsFU8n7bD"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f10277d0-7b82-4e14-88af-5f88bd6a7cd6","timestamp":"2026-08-25T21:04:36.428Z","tool_use_result":"Error: Exit code 1\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#8b928c\",0.012]]\n  [PASS] CVD separation         worst adjacent #9e2a25↔#141814 ΔE 28.6 (protan) · tritan 74.4 · normal 63.3\n  [WARN] Contrast vs surface    below 3:1 — relief required (visible labels or table view): [[\"#8b928c\",2.87]]\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity.\n\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#8b928c\",0.012]]\n  [PASS] CVD separation         worst adjacent #8b928c↔#d8372e ΔE 34.2 (protan) · tritan 90.4 · normal 77.7\n  [WARN] Contrast vs surface    below 3:1 — relief required (visible labels or table view): [[\"#8b928c\",2.87]]\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity."}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"42198dd9-73d9-43a3-bcd6-b14066216665","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"a7d6b144-4f99-48a8-9e45-7695eb248283","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"9b9a5e6c-b60c-4d6f-abfc-0361991f3e27","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"e300d43a-ebcb-4a94-986d-faf62b6282c7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9PTdB4PbF8Raqdu6mk","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2395,"cache_read_input_tokens":122471,"cache_creation":{"ephemeral_5m_input_tokens":2395,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2f50213b-4e7f-4e81-8004-d6b3acdf8ecc","request_id":"req_011CeQ9PSBMpZQigVYwj73af"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9PTdB4PbF8Raqdu6mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XzzymdjMU6xJ7rYnyEQpTE","name":"Bash","input":{"command":"cd /private/tmp/claude-501/bundled-skills/2.1.204/c656a400f97b31cc8a8754a3328049c3/dataviz && node scripts/validate_palette.js \"#141814,#d8372e,#6b736d\" --mode light --surface \"#f5f3ee\"","description":"Validate darker gray variant"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2395,"cache_read_input_tokens":122471,"cache_creation":{"ephemeral_5m_input_tokens":2395,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a50b27b5-655a-4a0c-bc83-4a1ae584eaf3","request_id":"req_011CeQ9PSBMpZQigVYwj73af"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#6b736d\",0.013]]\n  [PASS] CVD separation         worst adjacent #6b736d↔#d8372e ΔE 28.6 (protan) · tritan 90.5 · normal 77.4\n  [PASS] Contrast vs surface    all 3 >= 3:1\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity.","is_error":true,"tool_use_id":"toolu_01XzzymdjMU6xJ7rYnyEQpTE"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0a2b1ed5-00ff-4ac9-9fdb-5a658ea1b53e","timestamp":"2026-08-25T21:04:45.898Z","tool_use_result":"Error: Exit code 1\n\nPalette (light, surface #f5f3ee, categorical): 3 slots\n  [FAIL] Lightness band         outside band: [[\"#141814\",0.203]]\n  [FAIL] Chroma floor           below floor (reads gray): [[\"#141814\",0.01],[\"#6b736d\",0.013]]\n  [PASS] CVD separation         worst adjacent #6b736d↔#d8372e ΔE 28.6 (protan) · tritan 90.5 · normal 77.4\n  [PASS] Contrast vs surface    all 3 >= 3:1\n\n  → FAILED — fix the marked checks  (CVD in the 8–12 floor band is legal ONLY with secondary encoding: direct labels, gaps, or texture)\n  scope: categorical palettes only. For a lone status/text color check WCAG text contrast; for a sequential ramp, lightness monotonicity."}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"909db6b1-0dd9-4154-a90d-d0316ceb807d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"f64d48a5-011f-41b0-8142-7b4a7e6eaca4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"270c2ff4-8c79-4b92-b850-56dcb4fb85f4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"941a1955-cf37-49eb-928c-8179f9f0a508","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"4130a31a-8c97-4276-b3a7-bcae71248539","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"cd74ca6b-63ab-4885-8f56-c2a05742ebd8","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5167bc71-57c0-45e4-b516-c62f4b161a3c","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NFv9aZpWNuYnPvMmFVxtTi","name":"TaskCreate","input":{"subject":"Réécrire le système de design (globals.css)","description":"Remplacer le néo-brutalisme (bordures 1,5px, ombres décalées, pilules) par un langage terminal éditorial : hairlines, radius 0-2px, grands chiffres, rouge signal. Garder les tokens et les classes existantes (redéfinies) pour que toutes les pages héritent.","activeForm":"Réécriture du système de design"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"30529fd0-36dc-4e80-83c4-622a133d75b5","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NFv9aZpWNuYnPvMmFVxtTi","type":"tool_result","content":"Task #1 created successfully: Réécrire le système de design (globals.css)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4f4dc15e-599a-4778-b34e-52c97e5e7e6b","timestamp":"2026-08-25T21:04:59.206Z","tool_use_result":{"task":{"id":"1","subject":"Réécrire le système de design (globals.css)"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VWr6X9f7wszLzTtKtd22L6","name":"TaskCreate","input":{"subject":"Recomposer header, ticker, navigation, footer","description":"layout.tsx, HeaderNav.tsx, AccountButton.tsx, LangToggle : header compact premium, liens texte avec soulignement actif rouge, KA ID + langue intégrés, ticker raffiné, menu mobile plein écran encre.","activeForm":"Recomposition du header et de la navigation"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3ff3c199-e00f-44ed-9e50-c2a73a26032c","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VWr6X9f7wszLzTtKtd22L6","type":"tool_result","content":"Task #2 created successfully: Recomposer header, ticker, navigation, footer"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5e632ea8-b678-429d-9653-e483bd6973bc","timestamp":"2026-08-25T21:05:01.324Z","tool_use_result":{"task":{"id":"2","subject":"Recomposer header, ticker, navigation, footer"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WKhzF6du2uBrTyWFXZJdrE","name":"TaskCreate","input":{"subject":"Refondre SearchBox et EstimateForm","description":"Recherche = action centrale : grand champ nu à soulignement, variante héro sombre, CTA rouge, dropdown plat hairline. Formulaire manuel en champs soulignés.","activeForm":"Refonte de la recherche"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1a69554e-d26c-45ca-9231-fb254faeaf80","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WKhzF6du2uBrTyWFXZJdrE","type":"tool_result","content":"Task #3 created successfully: Refondre SearchBox et EstimateForm"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ba201170-0491-4449-862c-e47b2b76fb66","timestamp":"2026-08-25T21:05:03.446Z","tool_use_result":{"task":{"id":"3","subject":"Refondre SearchBox et EstimateForm"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FKRuWPiY6rDM83k4UU4dFF","name":"TaskCreate","input":{"subject":"Repenser les graphiques (MetricViz)","description":"Nouveau MarketPulseChart multi-séries (encre/rouge #d8372e/gris #6b736d, étiquettes directes, crosshair tactile, toggle période), MarketIndexChart avec hover, RangeBar/ConfidenceDial/sparklines raffinés, grilles hairline solides.","activeForm":"Refonte des graphiques"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c100df48-3b45-4c83-9e95-e8f63f284bd6","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FKRuWPiY6rDM83k4UU4dFF","type":"tool_result","content":"Task #4 created successfully: Repenser les graphiques (MetricViz)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5eaf8704-b791-4bbb-83ec-5cfe22469ec2","timestamp":"2026-08-25T21:05:05.563Z","tool_use_result":{"task":{"id":"4","subject":"Repenser les graphiques (MetricViz)"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AsegkHL7M8AhfdNWBgPKym","name":"TaskCreate","input":{"subject":"Recomposer la page d'accueil","description":"HomeClient + page.tsx : héro pleine largeur encre avec signature « Sans boîte noire », recherche centrale, compteurs intégrés, section marché éditoriale unique, flux de ventes réelles prix-d'abord (mobile), manifeste sans cards.","activeForm":"Recomposition de l'accueil"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b5a6593c-5701-4afd-b776-af16473fb190","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AsegkHL7M8AhfdNWBgPKym","type":"tool_result","content":"Task #5 created successfully: Recomposer la page d'accueil"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f6e293a9-c2f0-4654-a86b-d002ca9215c2","timestamp":"2026-08-25T21:05:07.737Z","tool_use_result":{"task":{"id":"5","subject":"Recomposer la page d'accueil"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DR4bYz3jNkQVr4XiavjL9L","name":"TaskCreate","input":{"subject":"Recomposer la page de résultat (rapport de valeur)","description":"ResultView : en-tête de rapport (dossier, date), estimation en très grands chiffres, sections numérotées à filets, grilles asymétriques, tableau comparables éditorial, zéro vp-card.","activeForm":"Recomposition du rapport de valeur"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7814127d-fc67-4db4-9810-9973d1469967","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DR4bYz3jNkQVr4XiavjL9L","type":"tool_result","content":"Task #6 created successfully: Recomposer la page de résultat (rapport de valeur)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8d2bd384-6b5b-4035-8a7f-769e712e3e35","timestamp":"2026-08-25T21:05:09.858Z","tool_use_result":{"task":{"id":"6","subject":"Recomposer la page de résultat (rapport de valeur)"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YbKnrn93MACDWBtv5msJG5","name":"TaskCreate","input":{"subject":"Méthodologie en timeline « le calcul, montré »","description":"MethodologieClient : timeline visuelle 6 étapes en tête (propriété → rôle → comparables → ajustements → estimation → intervalle), sections article éditorial au lieu de grosses cards.","activeForm":"Refonte de la méthodologie"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"54af4d42-f774-49ad-8fad-3334141374d9","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YbKnrn93MACDWBtv5msJG5","type":"tool_result","content":"Task #7 created successfully: Méthodologie en timeline « le calcul, montré »"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"13e98957-dad5-44e7-badc-c673208266f1","timestamp":"2026-08-25T21:05:11.982Z","tool_use_result":{"task":{"id":"7","subject":"Méthodologie en timeline « le calcul, montré »"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GBkG2BVqZ981kNdxNxedhe","name":"TaskCreate","input":{"subject":"Balayer les pages secondaires (résidus néo-brutalistes)","description":"stats, carte, ka, parc, favoris, compte, municipalités, legal, LeadForm, KaChat, RadarMap, CookieConsent : retirer ombres décalées/rotations codées en dur pour cohérence avec le nouveau système.","activeForm":"Balayage des pages secondaires"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5b087ea1-1767-4ce4-9fb2-6fd2bad09444","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GBkG2BVqZ981kNdxNxedhe","type":"tool_result","content":"Task #8 created successfully: Balayer les pages secondaires (résidus néo-brutalistes)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"df95d20a-0c0a-4d11-87cb-e8fd7e0309b5","timestamp":"2026-08-25T21:05:14.096Z","tool_use_result":{"task":{"id":"8","subject":"Balayer les pages secondaires (résidus néo-brutalistes)"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bhn9piNZnXUDmc8U5EeNg1","name":"TaskCreate","input":{"subject":"Build + vérification visuelle (iPhone 390px et desktop)","description":"next build, captures Playwright accueil/estimation/méthodologie à 390px et 1280px, corriger les collisions/débordements.","activeForm":"Build et vérification visuelle"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e00fbb63-dc80-4ac9-ad27-4dc281eba4ad","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bhn9piNZnXUDmc8U5EeNg1","type":"tool_result","content":"Task #9 created successfully: Build + vérification visuelle (iPhone 390px et desktop)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"577e4201-7a85-4d2c-b89e-ee351c3bee3f","timestamp":"2026-08-25T21:05:15.506Z","tool_use_result":{"task":{"id":"9","subject":"Build + vérification visuelle (iPhone 390px et desktop)"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9QA13aKaCkXCGiaHAJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xc6qkrCno71GVKPyczq6nj","name":"TaskCreate","input":{"subject":"Redéployer (pm2) + commit + push spbgit","description":"pm2 restart vrai-prix, healthcheck du port/site, git add/commit/push origin main.","activeForm":"Redéploiement et push"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":702,"cache_read_input_tokens":124866,"cache_creation":{"ephemeral_5m_input_tokens":702,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"01808db6-3c84-4caf-bb0c-2329ae22ad0e","request_id":"req_011CeQ9Q8bDNBWGi6A34hrNo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xc6qkrCno71GVKPyczq6nj","type":"tool_result","content":"Task #10 created successfully: Redéployer (pm2) + commit + push spbgit"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b60fac41-ee2e-4e35-bfb4-62202b60fc61","timestamp":"2026-08-25T21:05:16.568Z","tool_use_result":{"task":{"id":"10","subject":"Redéployer (pm2) + commit + push spbgit"}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f65cac90-56e2-4a15-9bd5-62aae4ba20f9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9SRKbQdHt17LAMh4AF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011oZUF7AKsag1AEGmFhBHtL","name":"ToolSearch","input":{"query":"select:TaskUpdate","max_results":1},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3021,"cache_read_input_tokens":125568,"cache_creation":{"ephemeral_5m_input_tokens":3021,"ephemeral_1h_input_tokens":0},"output_tokens":23,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1f48f592-80ec-4185-bfd3-922e9dee203d","request_id":"req_011CeQ9SPuGbakxekdEpePSY"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_011oZUF7AKsag1AEGmFhBHtL","content":[{"type":"tool_reference","tool_name":"TaskUpdate"}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8078dca7-c3c3-4ce5-a1cd-e0e71c1ed2ea","timestamp":"2026-08-25T21:05:20.188Z","tool_use_result":{"matches":["TaskUpdate"],"query":"select:TaskUpdate","total_deferred_tools":18}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9SRKbQdHt17LAMh4AF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013kswuwVmsS8rb1cBzqSmP1","name":"Bash","input":{"command":"sed -n 1,80p /Users/simon-pierreboucher/apps/vrai-prix/src/ka/tokens.css; ls /Users/simon-pierreboucher/apps/vrai-prix/node_modules/next/dist/docs/ 2>/dev/null | head","description":"Skim ka-ui tokens and list Next docs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3021,"cache_read_input_tokens":125568,"cache_creation":{"ephemeral_5m_input_tokens":3021,"ephemeral_1h_input_tokens":0},"output_tokens":23,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f6430230-c977-4bc3-9305-69b3b8ba5b2c","request_id":"req_011CeQ9SPuGbakxekdEpePSY"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013kswuwVmsS8rb1cBzqSmP1","type":"tool_result","content":"/* -----------------------------------------------------------------------------\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Fichier : ka-ui/tokens.css — SOURCE CANONIQUE (repo ka-ui sur spbgit)\n  Desc.  : Design system commun GROUPE KA « éditorial sharp » — tokens + socle\n           de composants partagés par les 12 plateformes. Chaque site importe ce\n           fichier PUIS surcharge uniquement son accent (voir accents.css).\n\n    · Typo   : display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Palette: papier #f5f3ee · encre #141814 · vert profond #1c5c41 + ACCENT du site\n    · Signature : bordures encre 1,5–2 px + ombres décalées dures, grain de film,\n      surlignés d'accent inclinés (néo-brutalisme raffiné)\n    · Breakpoints communs : 360 / 768 / 1024 / 1440 px (mobile-first)\n    · Zones tactiles ≥ 44×44 px, safe-areas iOS, typographie fluide (clamp)\n----------------------------------------------------------------------------- */\n\n:root {\n  /* ---- Palette fixe Groupe KA (identique sur les 12 sites) ---- */\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #1c5c41;\n  --green-deep: #123f2e;\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n\n  /* ---- ACCENT du site — SEULES variables surchargées par marque ---- */\n  --accent: #d9f26b;        /* défaut : lime Groupe KA */\n  --accent-soft: #f0f9d2;\n  --accent-deep: #123f2e;\n  --on-accent: var(--ink);  /* couleur du texte posé SUR l'accent */\n\n  /* alias rétro-compatibles (les satellites historiques utilisent --lime) */\n  --lime: var(--accent);\n  --lime-soft: var(--accent-soft);\n\n  /* ---- Géométrie sharp ---- */\n  --r-card: 10px;\n  --r-ctl: 6px;\n  --r-pill: 999px;\n\n  /* ---- Ombres décalées — la signature du groupe ---- */\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  --shadow-off: 6px 6px 0 var(--ink);\n  --shadow-off-soft: 8px 8px 0 rgba(20, 24, 20, 0.08);\n  --shadow-off-mid: 4px 4px 0 rgba(20, 24, 20, 0.18);\n\n  /* ---- Typographie ---- */\n  --font-display: \"Space Grotesk\", system-ui, sans-serif;\n  --font-body: \"Inter\", system-ui, sans-serif;\n  --font-mono: \"JetBrains Mono\", ui-monospace, monospace;\n\n  /* Échelle fluide (mobile-first, clamp) */\n  --fs-h1: clamp(30px, 3.2vw + 18px, 54px);\n  --fs-h2: clamp(23px, 1.8vw + 14px, 34px);\n  --fs-h3: clamp(17px, 0.9vw + 12px, 22px);\n  --fs-body: 15px;\n  --fs-small: 13px;\n\n  /* Espacements */\n  --sp-1: 4px; --sp-2: 8px; --sp-3: 12px; --sp-4: 16px;\n  --sp-5: 24px; --sp-6: 32px; --sp-7: 48px; --sp-8: 64px;\n\n  /* Cible tactile minimale */\n  --touch: 44px;\n\n  /* ---- Échelle z-index COMMUNE (obligatoire — aucune valeur arbitraire) ----\n     grain de film body::before = 9999 (pointer-events:none, toujours au-dessus,\n     purement visuel). Tout composant interactif se place sous 9999 : */\n  --z-content: 1;      /* contenu positionné ordinaire            */\n  --z-sticky: 300;     /* éléments sticky de contenu (sous-nav…)  */\n  --z-header: 500;     /* header du site                          */\n  --z-bottombar: 600;  /* tab bar / barre d'action basse          */\n  --z-dropdown: 700;   /* menus déroulants (au-dessus des barres) */\n01-app\n02-pages\n03-architecture\n04-community\nindex.md","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"631be37e-ad97-4f26-b3b4-37c3677c231f","timestamp":"2026-08-25T21:05:21.756Z","tool_use_result":{"stdout":"/* -----------------------------------------------------------------------------\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Fichier : ka-ui/tokens.css — SOURCE CANONIQUE (repo ka-ui sur spbgit)\n  Desc.  : Design system commun GROUPE KA « éditorial sharp » — tokens + socle\n           de composants partagés par les 12 plateformes. Chaque site importe ce\n           fichier PUIS surcharge uniquement son accent (voir accents.css).\n\n    · Typo   : display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Palette: papier #f5f3ee · encre #141814 · vert profond #1c5c41 + ACCENT du site\n    · Signature : bordures encre 1,5–2 px + ombres décalées dures, grain de film,\n      surlignés d'accent inclinés (néo-brutalisme raffiné)\n    · Breakpoints communs : 360 / 768 / 1024 / 1440 px (mobile-first)\n    · Zones tactiles ≥ 44×44 px, safe-areas iOS, typographie fluide (clamp)\n----------------------------------------------------------------------------- */\n\n:root {\n  /* ---- Palette fixe Groupe KA (identique sur les 12 sites) ---- */\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #1c5c41;\n  --green-deep: #123f2e;\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n\n  /* ---- ACCENT du site — SEULES variables surchargées par marque ---- */\n  --accent: #d9f26b;        /* défaut : lime Groupe KA */\n  --accent-soft: #f0f9d2;\n  --accent-deep: #123f2e;\n  --on-accent: var(--ink);  /* couleur du texte posé SUR l'accent */\n\n  /* alias rétro-compatibles (les satellites historiques utilisent --lime) */\n  --lime: var(--accent);\n  --lime-soft: var(--accent-soft);\n\n  /* ---- Géométrie sharp ---- */\n  --r-card: 10px;\n  --r-ctl: 6px;\n  --r-pill: 999px;\n\n  /* ---- Ombres décalées — la signature du groupe ---- */\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  --shadow-off: 6px 6px 0 var(--ink);\n  --shadow-off-soft: 8px 8px 0 rgba(20, 24, 20, 0.08);\n  --shadow-off-mid: 4px 4px 0 rgba(20, 24, 20, 0.18);\n\n  /* ---- Typographie ---- */\n  --font-display: \"Space Grotesk\", system-ui, sans-serif;\n  --font-body: \"Inter\", system-ui, sans-serif;\n  --font-mono: \"JetBrains Mono\", ui-monospace, monospace;\n\n  /* Échelle fluide (mobile-first, clamp) */\n  --fs-h1: clamp(30px, 3.2vw + 18px, 54px);\n  --fs-h2: clamp(23px, 1.8vw + 14px, 34px);\n  --fs-h3: clamp(17px, 0.9vw + 12px, 22px);\n  --fs-body: 15px;\n  --fs-small: 13px;\n\n  /* Espacements */\n  --sp-1: 4px; --sp-2: 8px; --sp-3: 12px; --sp-4: 16px;\n  --sp-5: 24px; --sp-6: 32px; --sp-7: 48px; --sp-8: 64px;\n\n  /* Cible tactile minimale */\n  --touch: 44px;\n\n  /* ---- Échelle z-index COMMUNE (obligatoire — aucune valeur arbitraire) ----\n     grain de film body::before = 9999 (pointer-events:none, toujours au-dessus,\n     purement visuel). Tout composant interactif se place sous 9999 : */\n  --z-content: 1;      /* contenu positionné ordinaire            */\n  --z-sticky: 300;     /* éléments sticky de contenu (sous-nav…)  */\n  --z-header: 500;     /* header du site                          */\n  --z-bottombar: 600;  /* tab bar / barre d'action basse          */\n  --z-dropdown: 700;   /* menus déroulants (au-dessus des barres) */\n01-app\n02-pages\n03-architecture\n04-community\nindex.md","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0260f3a4-b0d3-48f1-b137-8e3314733b22","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"11a5c661-2856-412a-94aa-8c28878eeb02","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"9c7c4142-593a-469c-a684-1011fa821b9a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"bcc600de-5fa7-4148-9290-5f73f265c7a8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"fd04690d-08db-43f1-be42-11bfcc5a48f3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":50,"uuid":"8ef6e40c-36b6-4148-abea-953efa7e5155","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"79c12fb9-8dc1-49bc-8644-715f22c05e15","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":50,"uuid":"ace80943-0de3-4ad4-95c0-f16baac4131e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"dbb27d8d-a4a5-4097-80a2-945c2df12906","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":50,"uuid":"664330fd-d5d4-4160-95e5-2ccda3e94433","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"b8ec019f-42cf-4504-87ff-a02dce98c5a5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"3f81500e-6758-4d59-95bc-b9b625c86354","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":50,"uuid":"09240cb0-50d3-41e6-ae0a-06039d5a5944","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":100,"uuid":"5b95564a-b741-49ce-99ad-555977f640c9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1100,"estimated_tokens_delta":100,"uuid":"80d1769d-2db6-4835-824d-2a51cf81b2dc","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":50,"uuid":"258c100f-5ac8-4918-9940-ac30725541cf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"26aec55b-520c-43eb-ae61-157fda7cec3a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1300,"estimated_tokens_delta":50,"uuid":"4fe562b0-72f2-4f5e-ad0b-922267882007","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1400,"estimated_tokens_delta":100,"uuid":"6d978614-aa3b-4f7a-8b3c-914bcfc7f746","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9SoT7fiQ5SfFVjojWm","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISph0KpwEIERgCKkBieZVRfCHslf5yBsir2EKtS3yR22UUljkhPSSLw6az4ZudLuR6Bqb2zWZoEBuM+BtClNBfoPOkZKltRTy0e6mKMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGth7jUBrABAhIMGYVdRueL7STmWv2jGgxS+CzrlPnrrE7l+FAiMAP/HgBc6tOCM+WfWOmWL7hFeUUCf3WIgx4w2p4JZzmEWJrQVtI6jBMfCC4o5TB7GCqrGxtAaheZQsCFK1JkPJ/RIv0FB/M0S9XigTRfwuOZMIGWrPuMUOOQ8Ma27om9PWFU+7wOE/d7ajeHBCUsZzcqU51q4c75mzQAip5vIhP8SZSpz8Lq4JDCtPL67AGDdXkyi8LpUSsF9pgI7tOaegX9jSgwasxM5yhlIgl8849MwmcjR8VDseMvmRrV8Ivt7GKyP2KdayfNoBVUvLb47T78fOa745kAQpNXjF7iE1L/vO/WJRAJbfZzBeWip0USIT2L9ThMKw/FyHjKrFm4q7jvZcJOgSn/K45R9oJdXPoW0yIkWk4tgdy+y44emEQp5mJuv17rxWpU0sEg9+Mu7pjdlbgTW75sHHM2wsrf9GWdHBAp6iA4okTuNCwhkruOyWvXCJxj7YR8ILEI7LnX+CYQcdw3Ip+LLTgXpN3JxgaGZh/hlzaq9OicZ7BT89JFg8TVuGNy7TTPhrVYe/w0o9fEnUiee+ZFx15qVpEjvqCrGvNtGHzfLbMBd2KChkushKC21sRg8RoTeZB7j0RWVLYjSx5Guzvzy1wpPAwGZ9gdEveuT4WQ5xvIlCzneaXUZJInsxr0pEf+fDZoGAVZsFGEFslFqwqEB8kedu2bc1vSFJzqaE1Xqy1JHI7wTV2uApZmFUfXbRNh8WmiiLOPfwxrfOYvLHD+lA8C52un077aHvpbpm0qRWndpnM/G8CUv7DKzAcZeCzT1Dg45C1ZuanMh2nr0YFMG6G4lTGN/6wDlANrUw3z1eAcKHl3YvXlrUauit5A4wN/G83ct7rh6QXxlVDA49xjizCLg1/32w7AN8oCIBsUEi0MVeP+KM2X5A8K9bK4tmhBxzuAH8g5sfNDy/bx0g4m9Ynas9a5qHSWhwOSdHmoUiqj3bsfEbvk27jp6TLkteeLtDQIqcuTYovvvaSa324M/FcJ9OoDRMmjDV6dDPmM6pFf2cbabn5Wor0dP4CoP/zYO7SiwFq3wy3wyIAeuxP3lD6+LV9UdAbc7wC6JO+GqoxL2ktErDrQ0WwNt/X5YfpSkvbxON1TqrhXsgJ0Kz8KM/kNw0IjaT9dVDbdiereP/Df4ksOBlSpP2NIPXqb9UECeIcpG82Bc6+DdRlK1ucMvmjmcmW9+70ySrSf1wWeqDd6KGyIHJJ2ren8hhrXF0Gv168L3oDsYvEd30K6ZMe4KU1BRQlgSBkwflqWHZWTZVDJJNi3beR/WlqxWmKarT5QlyW3Bf7YZBrjLyn1rIAF1HNoH7mJNxgMK9FLxerhTpmWW5gQpGYXbVS4NvqZXhF85jflOxkF1PPgRit3GtjjQ+t0+qiAkUDpdyT6bP9UUdVOJJ7oxnpfSFT6rVfQqQjF+V0YuX5mjiRTHPAZhIedf5d0G2d16dYlIAI2aWRZU8dZiOWOx8iTwahKrSLLtdSYKQQyxl74F2umzudmo6Nr0umUux3KKm5UCTE4ucPr+R0++Wzf9vpqojvG1yAg9MFvo5Ouu8ip1iVCuOttSaB77t7HKqb9ULt7/5En5eGBOnIs4dww2N/6q70+GiV1mfbuQi4X2XSKnf7f8Aw+VpXDTxYz5ZX+FUslLTDABodtYd4BaYQyLtXma6rK71Re3/3gOI5ejHOeznHJQpvbhvF1y3IBRBm1RugJ5CMcyqh4DjZUIxg84L77fz0kaNs8JNLvhxxdE4tKqZKqgWScn9zYQvt+4J+77zeUzQPILvFRN2T4GVi1ZYsTt/UdXQarpD25AMeZ65iLiF6Qhg+UvTLNMZ0qPBRyeE13cFhcqvUzNmWY4kfD5L4gXc+H+x2qcUP+EIMeTN3zMlXHknY7oXu9uMXDYQI9/yvbhzA1w/XcCgcUBOwXNidCDXLuK2x52xagBAZXnw0DxQIZVX2f6v51kLb2qwpIP8iiH0OAvN7z1AClROBg5qn9phAP8G8SdnWN9cMWkFtl0SvZvJclwITeTK10ik4inu/hlLbwTUGekaskdN+RkfKa80HnV1mLIzafG5r6HxCrSe23Q+3uPPkyX+DPkegyZ05dPYV5Q4khq/CizURVG+r3BfwK00Rztc84fJU7+fg6MgMC8bsqtsv7Xg3X2hw6Zp3E0aLzANCWr7NPbqKVMt7wwwgEO4tWsr/3U0mVnopGk1e2YBl58Kcpjye+I4kwFj0QRsTmD0cTsu/nP5OJRchoIhaBMEsDj62YMunsheAKralh+iQPdXbEyJT/7/dzhb8NO1bs7oMdmauaMGne+2NGqkHRio20XrL6qxBPu/Kz1qIv9hXVrwFgpTLops6EQnRHtpHBn7LsdAvJefvO7Hz5OITW8pBH9aUtsVG1XsBWo4b5wzwVTaA/mF+gwdNfTtD42t7pgv75cei7aPIoUe4qQTq5UnrixxtnoOWPbtRyf+fOJLBRx2Pw+smzV66b57ah6cuxi4uXbEXq9CKsHUrl4rLfgZqk8M4GEKRyb2FtMvM4TcKQLUseWJDaFXAtsUNxNJs9knNc3GVZ5tIb1a+VOmJ2sMegE893Epv414/z44XtxArBj5QpYZHzF42zaOYQ6LR9qo9WlO95dwZSDqC9MuXDlAedt6FCPLOeq4a/I6azGV9GmonZtYNMqBcfLdmZFSe9r/knPtbR/f27Oqbda029K0YvLNGESIE46zV4fCLpQYPiq/qESclIjrEA+hGM12ICIb+nxfUzaM1EdpYwYC9ZLGdql5AmqQGJP+AHv5QTMa5HFhQLZ6jLcB1ULNMLA90LqNbym9Lmu6iJPlidVZZr0sK59weca6lMOFmj28uZ7cFQ4AFajBMfL3Ju1FJWTdK5H73KRUFxgaigHBargQxXzF8lVcHRlx6SGC31l29ILsTqjFjYfCrYfsf5SLHO6nrgd7YIB5qydJT5hHoGD20Zp8QASGrcwON4auit+EheXs2Yk64ANOZG4KKhUg1kSq26LifIZqr46GRgIKfXQirQr6h1kow+cpBlA9LEGnpFPdjI1jy3xNfOfZfX4yktQbAIaDUI8zTIRdqUMlP/oyekAmYUBXrfVCbmwAjIjHOhQSAc2yDjTccAyE30ITd1jAnas+yXLDHoPAt+lxWRfiyGtkUczFayPRef+E0VAWjTNt5uPp38WsAnQi1x1nRDarvapvqz+xZXnQK65AAwBVKoXN2cBmHo/q/YFW+4kZUMCJdJ2vH9tiNjpji8yGPD4BhHknxASJeHvhXMFUgEGC1THOVjTpv4JJMP+MSFtiEMvHEpwgasrGwvrMmQELbdNNGqosT23Nv1yr0LL35nCmO5u3IrZBbEWxnvdmddAhCyRz/pzcAdcyHL2FroIJxuDYKj+pBwAWTrdlqDMfJbT21cEt6UoP/6MqH9t5GSB6WsZCZx7+Bg098Ti798d55eOhOc065zRPX9CSw4LC4I1tQ8leoQSsOqK13NGpJargeUwZHj/sSZAyU/4nvrReNYO/W5JhsBfgdviWkh0L7Q4ErVq2KyPSNPbkb332V9aBAWaWkR87wwCc9BNDKuiDa0KwmA4bWEanGTAmUla5/2qPVqKaeYRWfmxvFVEB+T1ZTQfAEmAYq3e3uyBJuOADK9PMJ4DHFqkiLOTGxrrAcVGR86aPxctOaz0RoIml5JItYK256YKsftbdN19Z4vRxHn0OawVzzMNutJsjaFXRpEl8/Ed8B3yL3zfRurJ8rkh7sD5hSFOdEWS4zXpXZhGPW1zCUaP0kjRHaSk3SvDzhgRm8QLmmpfps4SQF5wvdORvYUhB1/n8njgO49f7L1kJV8aKuFHz2MJWR6Gwqktm/fjMyt1RTW27Yy+6dXJV/ZLYqcP+Jfuubo5OxkbKRwqfqCiC4nIcCMo++l1AjXB8uovtVXAF3k1ELoI2jQdvI9ZlBajBR2idcD0EAIRRlARsPyRyNvNs60ez+utwUeXQ+ItniyyaS4OSfYE/QeglBJPVGSWSU3XinlxicNe7SvKbX+KRS5xfHkFzG+z9p3W3ac4lK4BaLC9Mcd7OBUDyy9yfr/QselDilaZPsmFDBSLOPmkGVDfXaxSmKpTCK0+oWpX4oRv60V1sqQXGbm6TtJqGvmCOXIvFdBltaPOLAr17e1ZmUMwEvr6GIYZTTpWY0EGerjbmLyIoNxZfTGXyjPPG7CvBROYSvVRbJaRUgn3yZ1oTKyKB1eWhMVLMvhgYIGt00d++E1ypZxxoT9XoP1oTjavreoRKbwYuxrPgZBSl/EH9NQ+Grk2A45wIXl4pFUf0Pf+5xvC5qYdeh3iwCY8fOLDLZDdVLD5iI8sQ9g5b0HdO2NSou5AGMGNbd+QulEDCDebgxzbQnS8fAQUTeeZLCnlHzasI5dXxd+pcnS/ddD2wAAw/5L+3JE7rLxAAxZZKoJH3U9h+Je/2fNe6bt0PjdmrnhSUJ4JmdFuwitg/3fob2ZDEB1nsH+x35ZCZVoBQpHaRxVu4zJFNHcGMf771q3YQbvxFJyGrvu04CpkNsk6PfH4uVKBqSm6+Pt7v6k3+ODrTavsqEjK1MEV+m8rbohirciMuejYhTJk0xpDwSTrp2hGLkHumn6NZaUxoIf0WJ4LIjyLeMrNd24/HGbgSr0ASLrptErAPPaSxLBiwj6FjGhp/YCyS1pUUjSkOa19mwjXOgdB3f5i7Uf+f1h1+74jYPfxdOaNfBlz1X8l3bA7Eh3rbfep1QJCiGBncoYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3427,"cache_read_input_tokens":128589,"cache_creation":{"ephemeral_5m_input_tokens":3427,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7986fc4c-febc-491b-995a-23deb38d0794","request_id":"req_011CeQ9SmubXTe8oemzVsjiP"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9SoT7fiQ5SfFVjojWm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RRVcpD9qcUKyMqzWdwHX8D","name":"TaskUpdate","input":{"taskId":"1","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3427,"cache_read_input_tokens":128589,"cache_creation":{"ephemeral_5m_input_tokens":3427,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"98f0471c-f67e-49fd-8115-6b8aac0c1c1e","request_id":"req_011CeQ9SmubXTe8oemzVsjiP"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RRVcpD9qcUKyMqzWdwHX8D","type":"tool_result","content":"Updated task #1 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"aee73a4d-8271-4d02-83ae-4ed215ba289a","timestamp":"2026-08-25T21:05:49.801Z","tool_use_result":{"success":true,"taskId":"1","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4424b55b-d1ce-4bb0-909b-ef4575eba72e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9UsiA1SZXa7ZLXzH5P","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1524,"cache_read_input_tokens":132016,"cache_creation":{"ephemeral_5m_input_tokens":1524,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"93e98099-735c-4ffe-8951-51f33cf7eb21","request_id":"req_011CeQ9Ur2T6qPwUpva5KdAe"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9UsiA1SZXa7ZLXzH5P","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Eub2RwZwaALMrg5AWjrQDg","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","content":"/* -----------------------------------------------------------------------------\n  Vrai-Prix — estimation immobilière transparente (Québec)\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Système de design « terminal éditorial » v2 — Bloomberg × FT data × institutionnel :\n    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Signature : filets fins (hairlines), grands chiffres, compositions asymétriques,\n      encre profonde + rouge signal réservé à l'information importante\n    · Zéro ombre décalée, zéro pilule, radius 0-2 px — la donnée fait le décor\n----------------------------------------------------------------------------- */\n@import \"tailwindcss\";\n/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n   des titres (règles éléments non-layered > utilitaires layered). */\n@import \"../ka/tokens.css\" layer(base);\n\n:root {\n  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n  --accent: #d8372e;        /* rouge signal éditorial (lisible sur papier) */\n  --accent-bright: #ff5148; /* rouge vif — marqueurs, points de donnée sur encre */\n  --accent-soft: #ffe3e0;\n  --accent-deep: #9e2a25;\n  --on-accent: #ffffff;\n\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-soft: rgba(20, 24, 20, 0.08);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #9e2a25;\n  --green-deep: #771f1b;\n  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n  --lime-soft: var(--accent-soft);\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n  /* série de graphiques (palette validée : CVD 28,6 · contraste ≥3:1) */\n  --chart-1: #141814; /* unifamiliale */\n  --chart-2: #d8372e; /* condo */\n  --chart-3: #6b736d; /* plex */\n  --r-card: 2px;\n  --r-ctl: 2px;\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  /* ombres décalées héritées — aplaties : le v2 ne porte aucune ombre dure */\n  --shadow-off: 0 1px 2px rgba(20, 24, 20, 0.08);\n  --shadow-off-soft: none;\n  --shadow-off-mid: 0 1px 2px rgba(20, 24, 20, 0.08);\n  /* encre légèrement plus profonde pour les aplats pleine largeur */\n  --ink-deep: #101410;\n  --paper-on-ink: #edeae2;\n}\n\n@theme inline {\n  --color-paper: var(--paper);\n  --color-surface: var(--surface);\n  --color-surface-2: var(--surface-2);\n  --color-ink: var(--ink);\n  --color-ink-2: var(--ink-2);\n  --color-ink-3: var(--ink-3);\n  --color-green: var(--green);\n  --color-green-deep: var(--green-deep);\n  --color-lime: var(--lime);\n  --color-lime-soft: var(--lime-soft);\n  --color-amber: var(--amber);\n  --color-amber-soft: var(--amber-soft);\n  --color-danger: var(--danger);\n  --color-accent: var(--accent);\n  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n  --font-body: var(--font-inter), system-ui, sans-serif;\n  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n}\n\n/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n   design local dimensionne les siens via utilitaires → on rétablit le\n   comportement preflight (même layer, source postérieure = prioritaire). */\n@layer base {\n  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n}\n\nhtml { scroll-behavior: smooth; }\nbody {\n  background: var(--paper);\n  color: var(--ink);\n  font-family: var(--font-inter), system-ui, sans-serif;\n  font-size: 15px;\n  line-height: 1.55;\n  -webkit-font-smoothing: antialiased;\n  padding-bottom: env(safe-area-inset-bottom);\n}\n/* grain subtil — texture signature (discret, presque imperceptible) */\nbody::before {\n  content: \"\";\n  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.22;\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n}\n/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\nbody > * { position: relative; }\n\nh1, h2, h3, h4 {\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n  letter-spacing: -0.03em;\n}\n::selection { background: var(--ink); color: var(--paper); }\n\n/* ---------- primitives signature ---------- */\n.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n\n/* pleine largeur depuis un conteneur centré (héro, bandes encre) */\n.bleed { width: 100vw; margin-left: calc(50% - 50vw); }\n\n/* aplat encre : héro, blocs terminal */\n.vp-dark { background: var(--ink-deep); color: var(--paper-on-ink); }\n.vp-dark ::selection { background: var(--accent-bright); color: var(--ink); }\n\n.kicker {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 500; text-transform: uppercase;\n  letter-spacing: 0.16em; color: var(--accent);\n  display: inline-flex; align-items: center; gap: 9px;\n}\n.kicker::before { content: \"\"; width: 20px; height: 1.5px; background: var(--accent); }\n\n.klabel {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em;\n  color: var(--ink-3); font-weight: 500;\n}\n\n/* en-tête de section éditorial : filet fort + numéro mono */\n.sec {\n  border-top: 2px solid var(--ink);\n  padding-top: 14px;\n}\n.sec-num {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 700; color: var(--accent);\n  letter-spacing: 0.1em;\n}\n\n/* carte héritée — aplatie : surface + hairline, aucune ombre */\n.vp-card {\n  background: var(--surface);\n  border: 1px solid var(--line);\n  border-radius: var(--r-card);\n  box-shadow: none;\n}\n.vp-card-hover { transition: border-color 0.15s ease; }\n.vp-card-hover:hover { transform: none; box-shadow: none; border-color: var(--line-strong); }\n\n/* champ : soulignement éditorial (le cadre disparaît) */\n.vp-input {\n  border: 0; border-bottom: 1px solid var(--line-strong); background: transparent;\n  border-radius: 0; padding: 10px 2px; font-size: 15px;\n  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n  appearance: none; -webkit-appearance: none;\n}\n.vp-input::placeholder { color: var(--ink-3); }\n.vp-input:focus { border-color: var(--accent); box-shadow: 0 1px 0 var(--accent); }\nselect.vp-input {\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n  background-repeat: no-repeat; background-position: right 6px center; padding-right: 26px;\n}\n@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n\n.btn {\n  border: 1px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 22px;\n  font-weight: 600; font-size: 13.5px; cursor: pointer; min-height: 44px;\n  transition: background 0.15s ease, color 0.15s ease, border-color 0.15s ease;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.02em;\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n}\n.btn:active { opacity: 0.85; }\n.btn-primary { background: var(--ink); color: var(--paper); }\n.btn-primary:hover { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-ghost { background: transparent; color: var(--ink); border-color: var(--line-strong); }\n.btn-ghost:hover { border-color: var(--accent); color: var(--accent-deep); }\n.btn-accent { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-accent:hover { background: var(--accent-deep); border-color: var(--accent-deep); }\n\n/* preuve de données : chiffre fort + libellé mono, séparés par filets */\n.stat-chip {\n  background: transparent; border: 0; border-left: 1px solid var(--line);\n  border-radius: 0; padding: 2px 0 2px 14px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-2); display: inline-flex; gap: 7px; align-items: baseline;\n  box-shadow: none; white-space: nowrap;\n}\n.stat-chip:first-child { border-left: 0; padding-left: 0; }\n.stat-chip b {\n  color: var(--ink); font-weight: 700; font-size: 15px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: -0.01em;\n}\n.stat-chip .pulse {\n  width: 7px; height: 7px; border-radius: 50%; background: var(--accent);\n  align-self: center; animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 5px rgba(216, 55, 46, 0.18); } }\n\n/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */\n.hl {\n  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 1.5px var(--ink); }\n.vp-dark .outline-txt { -webkit-text-stroke: 1.5px var(--paper-on-ink); }\n\n/* ticker — bande de cotation (signature terminal) */\n.ticker {\n  background: var(--ink-deep); color: var(--paper-on-ink); overflow: hidden;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; letter-spacing: 0.09em; text-transform: uppercase;\n  padding: 6px 0; white-space: nowrap;\n}\n.ticker-track { display: inline-flex; animation: ticker 48s linear infinite; will-change: transform; }\n.ticker span { padding: 0 24px; position: relative; opacity: 0.85; }\n.ticker span::after { content: \"\"; position: absolute; right: -2px; top: 50%; width: 4px; height: 4px; transform: translateY(-50%) rotate(45deg); background: var(--accent-bright); opacity: 0.8; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n  .ticker-track { animation: none; }\n  * { transition-duration: 0.01ms !important; }\n}\n\n/* kv cells (fiche) — cellule de données éditoriale : filet haut, pas de boîte */\n.kv-cell {\n  background: transparent; border: 0; border-top: 1px solid var(--line);\n  border-radius: 0; padding: 8px 2px 2px;\n}\n.kv-cell .k {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 500;\n}\n.kv-cell .v {\n  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n}\n\n/* pills (indice de confiance) — carrés, fins */\n.pill {\n  display: inline-block; border-radius: 2px; padding: 3px 9px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n}\n.pill-conf-A { background: var(--ink); color: var(--paper); border: 1px solid var(--ink); }\n.pill-conf-B { background: transparent; color: var(--ink); border: 1px solid var(--line-strong); }\n.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n\n/* tableau éditorial — filets fins, en-tête discret, zéro cadre épais */\n.src-wrap {\n  overflow-x: auto; border: 0; border-top: 2px solid var(--ink); border-radius: 0;\n  box-shadow: none; background: transparent;\n}\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n.src-table th {\n  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n  padding: 10px 12px 8px; border-bottom: 1px solid var(--line-strong); background: transparent;\n  white-space: nowrap; font-weight: 500;\n}\n.src-table td { padding: 12px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--surface-2); }\n\n/* flux de ventes (accueil) — rangée prix-d'abord */\n.feed-row {\n  display: block; border-bottom: 1px solid var(--line); padding: 14px 2px;\n  transition: background 0.12s ease;\n}\n.feed-row:hover { background: var(--surface-2); }\n\n/* onglets de contrôle (période / catégorie) */\n.vp-tab {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-3); padding: 8px 2px 6px; border: 0; background: transparent;\n  border-bottom: 2px solid transparent; cursor: pointer; min-height: 34px;\n  transition: color 0.12s ease, border-color 0.12s ease;\n}\n.vp-tab:hover { color: var(--ink); }\n.vp-tab[aria-pressed=\"true\"], .vp-tab[aria-selected=\"true\"] {\n  color: var(--ink); border-bottom-color: var(--accent);\n}\n\n/* infobulle de graphique */\n.vv-tip {\n  position: absolute; pointer-events: none; z-index: 5;\n  background: var(--ink-deep); color: var(--paper-on-ink);\n  border-radius: 2px; padding: 8px 10px; min-width: 130px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace; font-size: 10.5px;\n  box-shadow: 0 2px 10px rgba(20, 24, 20, 0.25);\n}\n.vv-tip .row { display: flex; align-items: center; justify-content: space-between; gap: 12px; padding: 1.5px 0; }\n.vv-tip .key { display: inline-block; width: 10px; height: 2px; margin-right: 6px; vertical-align: middle; }\n.vv-tip .val { font-weight: 700; color: #fff; }\n\n/* timeline méthodologie */\n.tl { position: relative; padding-left: 26px; }\n.tl::before {\n  content: \"\"; position: absolute; left: 7px; top: 6px; bottom: 6px;\n  width: 1px; background: var(--line-strong);\n}\n.tl-step { position: relative; padding: 0 0 26px; }\n.tl-step:last-child { padding-bottom: 0; }\n.tl-step::before {\n  content: \"\"; position: absolute; left: -24px; top: 5px; width: 9px; height: 9px;\n  background: var(--paper); border: 1.5px solid var(--ink); border-radius: 50%;\n}\n.tl-step[data-accent=\"true\"]::before { background: var(--accent); border-color: var(--accent); }\n\n/* animations de révélation */\n@keyframes rise {\n  from { opacity: 0; transform: translateY(10px); }\n  to { opacity: 1; transform: none; }\n}\n.rise { animation: rise 0.5s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes growX { from { transform: scaleX(0); } }\n.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes winPop { from { opacity: 0; } }\n.vv-win { animation: winPop 0.4s ease both; }\n@media (prefers-reduced-motion: reduce) {\n  .rise, .grow-x, .vv-win { animation: none; }\n}\n\n/* barres horizontales (historique) — fines, encre, millésime courant en rouge */\n.hbar-track { background: var(--line-soft); border-radius: 0; height: 12px; overflow: hidden; }\n.hbar-fill {\n  display: block; height: 100%; background: var(--ink); border-radius: 0;\n  min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--accent); }\n\n\n/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n.vpm-wrap {\n  position: relative;\n  height: 62vh;\n  min-height: 420px;\n  width: 100%;\n  border: 1px solid var(--line-strong);\n  border-radius: 2px;\n  overflow: hidden;\n  box-shadow: none;\n  z-index: 0;\n}\n.vpm-wrap .ka-map {\n  --ka-accent: var(--accent);\n  --ka-on-accent: #ffffff;\n  --ka-surface: var(--surface);\n  --ka-ink: var(--ink);\n  --ka-line: var(--line-strong);\n  --ka-radius: 2px;\n  --ka-shadow: 0 2px 10px rgba(20, 24, 20, 0.18);\n  --ka-font: var(--font-inter), system-ui, sans-serif;\n  position: absolute;\n  inset: 0;\n}\n.vpm-chip {\n  position: absolute;\n  bottom: 12px;\n  left: 12px;\n  z-index: 9;\n  background: var(--ink-deep);\n  color: var(--paper-on-ink);\n  border: 0;\n  border-radius: 2px;\n  padding: 6px 12px;\n  font-family: var(--font-jetbrains), monospace;\n  font-size: 10.5px;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n}\n.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n.vpm-pop-value {\n  font-family: var(--font-space-grotesk), sans-serif;\n  font-weight: 700;\n  font-size: 22px;\n  letter-spacing: -0.02em;\n  margin-top: 2px;\n}\n.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n.vpm-pop-cta {\n  display: inline-block;\n  margin-top: 12px;\n  padding: 9px 14px;\n  background: var(--ink);\n  color: var(--paper);\n  border: 1px solid var(--ink);\n  border-radius: 2px;\n  font-size: 12.5px;\n  font-weight: 600;\n  cursor: pointer;\n}\n.vpm-pop-cta:active { opacity: 0.85; }\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1524,"cache_read_input_tokens":132016,"cache_creation":{"ephemeral_5m_input_tokens":1524,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2d50d5d6-55fa-44ad-862f-d164d8814feb","request_id":"req_011CeQ9Ur2T6qPwUpva5KdAe"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Eub2RwZwaALMrg5AWjrQDg","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"65d7b65a-a111-486c-b4b9-9498244ddeea","timestamp":"2026-08-25T21:07:09.839Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","content":"/* -----------------------------------------------------------------------------\n  Vrai-Prix — estimation immobilière transparente (Québec)\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Système de design « terminal éditorial » v2 — Bloomberg × FT data × institutionnel :\n    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Signature : filets fins (hairlines), grands chiffres, compositions asymétriques,\n      encre profonde + rouge signal réservé à l'information importante\n    · Zéro ombre décalée, zéro pilule, radius 0-2 px — la donnée fait le décor\n----------------------------------------------------------------------------- */\n@import \"tailwindcss\";\n/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n   des titres (règles éléments non-layered > utilitaires layered). */\n@import \"../ka/tokens.css\" layer(base);\n\n:root {\n  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n  --accent: #d8372e;        /* rouge signal éditorial (lisible sur papier) */\n  --accent-bright: #ff5148; /* rouge vif — marqueurs, points de donnée sur encre */\n  --accent-soft: #ffe3e0;\n  --accent-deep: #9e2a25;\n  --on-accent: #ffffff;\n\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-soft: rgba(20, 24, 20, 0.08);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #9e2a25;\n  --green-deep: #771f1b;\n  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n  --lime-soft: var(--accent-soft);\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n  /* série de graphiques (palette validée : CVD 28,6 · contraste ≥3:1) */\n  --chart-1: #141814; /* unifamiliale */\n  --chart-2: #d8372e; /* condo */\n  --chart-3: #6b736d; /* plex */\n  --r-card: 2px;\n  --r-ctl: 2px;\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  /* ombres décalées héritées — aplaties : le v2 ne porte aucune ombre dure */\n  --shadow-off: 0 1px 2px rgba(20, 24, 20, 0.08);\n  --shadow-off-soft: none;\n  --shadow-off-mid: 0 1px 2px rgba(20, 24, 20, 0.08);\n  /* encre légèrement plus profonde pour les aplats pleine largeur */\n  --ink-deep: #101410;\n  --paper-on-ink: #edeae2;\n}\n\n@theme inline {\n  --color-paper: var(--paper);\n  --color-surface: var(--surface);\n  --color-surface-2: var(--surface-2);\n  --color-ink: var(--ink);\n  --color-ink-2: var(--ink-2);\n  --color-ink-3: var(--ink-3);\n  --color-green: var(--green);\n  --color-green-deep: var(--green-deep);\n  --color-lime: var(--lime);\n  --color-lime-soft: var(--lime-soft);\n  --color-amber: var(--amber);\n  --color-amber-soft: var(--amber-soft);\n  --color-danger: var(--danger);\n  --color-accent: var(--accent);\n  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n  --font-body: var(--font-inter), system-ui, sans-serif;\n  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n}\n\n/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n   design local dimensionne les siens via utilitaires → on rétablit le\n   comportement preflight (même layer, source postérieure = prioritaire). */\n@layer base {\n  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n}\n\nhtml { scroll-behavior: smooth; }\nbody {\n  background: var(--paper);\n  color: var(--ink);\n  font-family: var(--font-inter), system-ui, sans-serif;\n  font-size: 15px;\n  line-height: 1.55;\n  -webkit-font-smoothing: antialiased;\n  padding-bottom: env(safe-area-inset-bottom);\n}\n/* grain subtil — texture signature (discret, presque imperceptible) */\nbody::before {\n  content: \"\";\n  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.22;\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n}\n/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\nbody > * { position: relative; }\n\nh1, h2, h3, h4 {\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n  letter-spacing: -0.03em;\n}\n::selection { background: var(--ink); color: var(--paper); }\n\n/* ---------- primitives signature ---------- */\n.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n\n/* pleine largeur depuis un conteneur centré (héro, bandes encre) */\n.bleed { width: 100vw; margin-left: calc(50% - 50vw); }\n\n/* aplat encre : héro, blocs terminal */\n.vp-dark { background: var(--ink-deep); color: var(--paper-on-ink); }\n.vp-dark ::selection { background: var(--accent-bright); color: var(--ink); }\n\n.kicker {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 500; text-transform: uppercase;\n  letter-spacing: 0.16em; color: var(--accent);\n  display: inline-flex; align-items: center; gap: 9px;\n}\n.kicker::before { content: \"\"; width: 20px; height: 1.5px; background: var(--accent); }\n\n.klabel {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em;\n  color: var(--ink-3); font-weight: 500;\n}\n\n/* en-tête de section éditorial : filet fort + numéro mono */\n.sec {\n  border-top: 2px solid var(--ink);\n  padding-top: 14px;\n}\n.sec-num {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 700; color: var(--accent);\n  letter-spacing: 0.1em;\n}\n\n/* carte héritée — aplatie : surface + hairline, aucune ombre */\n.vp-card {\n  background: var(--surface);\n  border: 1px solid var(--line);\n  border-radius: var(--r-card);\n  box-shadow: none;\n}\n.vp-card-hover { transition: border-color 0.15s ease; }\n.vp-card-hover:hover { transform: none; box-shadow: none; border-color: var(--line-strong); }\n\n/* champ : soulignement éditorial (le cadre disparaît) */\n.vp-input {\n  border: 0; border-bottom: 1px solid var(--line-strong); background: transparent;\n  border-radius: 0; padding: 10px 2px; font-size: 15px;\n  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n  appearance: none; -webkit-appearance: none;\n}\n.vp-input::placeholder { color: var(--ink-3); }\n.vp-input:focus { border-color: var(--accent); box-shadow: 0 1px 0 var(--accent); }\nselect.vp-input {\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n  background-repeat: no-repeat; background-position: right 6px center; padding-right: 26px;\n}\n@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n\n.btn {\n  border: 1px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 22px;\n  font-weight: 600; font-size: 13.5px; cursor: pointer; min-height: 44px;\n  transition: background 0.15s ease, color 0.15s ease, border-color 0.15s ease;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.02em;\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n}\n.btn:active { opacity: 0.85; }\n.btn-primary { background: var(--ink); color: var(--paper); }\n.btn-primary:hover { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-ghost { background: transparent; color: var(--ink); border-color: var(--line-strong); }\n.btn-ghost:hover { border-color: var(--accent); color: var(--accent-deep); }\n.btn-accent { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-accent:hover { background: var(--accent-deep); border-color: var(--accent-deep); }\n\n/* preuve de données : chiffre fort + libellé mono, séparés par filets */\n.stat-chip {\n  background: transparent; border: 0; border-left: 1px solid var(--line);\n  border-radius: 0; padding: 2px 0 2px 14px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-2); display: inline-flex; gap: 7px; align-items: baseline;\n  box-shadow: none; white-space: nowrap;\n}\n.stat-chip:first-child { border-left: 0; padding-left: 0; }\n.stat-chip b {\n  color: var(--ink); font-weight: 700; font-size: 15px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: -0.01em;\n}\n.stat-chip .pulse {\n  width: 7px; height: 7px; border-radius: 50%; background: var(--accent);\n  align-self: center; animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 5px rgba(216, 55, 46, 0.18); } }\n\n/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */\n.hl {\n  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 1.5px var(--ink); }\n.vp-dark .outline-txt { -webkit-text-stroke: 1.5px var(--paper-on-ink); }\n\n/* ticker — bande de cotation (signature terminal) */\n.ticker {\n  background: var(--ink-deep); color: var(--paper-on-ink); overflow: hidden;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; letter-spacing: 0.09em; text-transform: uppercase;\n  padding: 6px 0; white-space: nowrap;\n}\n.ticker-track { display: inline-flex; animation: ticker 48s linear infinite; will-change: transform; }\n.ticker span { padding: 0 24px; position: relative; opacity: 0.85; }\n.ticker span::after { content: \"\"; position: absolute; right: -2px; top: 50%; width: 4px; height: 4px; transform: translateY(-50%) rotate(45deg); background: var(--accent-bright); opacity: 0.8; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n  .ticker-track { animation: none; }\n  * { transition-duration: 0.01ms !important; }\n}\n\n/* kv cells (fiche) — cellule de données éditoriale : filet haut, pas de boîte */\n.kv-cell {\n  background: transparent; border: 0; border-top: 1px solid var(--line);\n  border-radius: 0; padding: 8px 2px 2px;\n}\n.kv-cell .k {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 500;\n}\n.kv-cell .v {\n  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n}\n\n/* pills (indice de confiance) — carrés, fins */\n.pill {\n  display: inline-block; border-radius: 2px; padding: 3px 9px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n}\n.pill-conf-A { background: var(--ink); color: var(--paper); border: 1px solid var(--ink); }\n.pill-conf-B { background: transparent; color: var(--ink); border: 1px solid var(--line-strong); }\n.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n\n/* tableau éditorial — filets fins, en-tête discret, zéro cadre épais */\n.src-wrap {\n  overflow-x: auto; border: 0; border-top: 2px solid var(--ink); border-radius: 0;\n  box-shadow: none; background: transparent;\n}\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n.src-table th {\n  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n  padding: 10px 12px 8px; border-bottom: 1px solid var(--line-strong); background: transparent;\n  white-space: nowrap; font-weight: 500;\n}\n.src-table td { padding: 12px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--surface-2); }\n\n/* flux de ventes (accueil) — rangée prix-d'abord */\n.feed-row {\n  display: block; border-bottom: 1px solid var(--line); padding: 14px 2px;\n  transition: background 0.12s ease;\n}\n.feed-row:hover { background: var(--surface-2); }\n\n/* onglets de contrôle (période / catégorie) */\n.vp-tab {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-3); padding: 8px 2px 6px; border: 0; background: transparent;\n  border-bottom: 2px solid transparent; cursor: pointer; min-height: 34px;\n  transition: color 0.12s ease, border-color 0.12s ease;\n}\n.vp-tab:hover { color: var(--ink); }\n.vp-tab[aria-pressed=\"true\"], .vp-tab[aria-selected=\"true\"] {\n  color: var(--ink); border-bottom-color: var(--accent);\n}\n\n/* infobulle de graphique */\n.vv-tip {\n  position: absolute; pointer-events: none; z-index: 5;\n  background: var(--ink-deep); color: var(--paper-on-ink);\n  border-radius: 2px; padding: 8px 10px; min-width: 130px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace; font-size: 10.5px;\n  box-shadow: 0 2px 10px rgba(20, 24, 20, 0.25);\n}\n.vv-tip .row { display: flex; align-items: center; justify-content: space-between; gap: 12px; padding: 1.5px 0; }\n.vv-tip .key { display: inline-block; width: 10px; height: 2px; margin-right: 6px; vertical-align: middle; }\n.vv-tip .val { font-weight: 700; color: #fff; }\n\n/* timeline méthodologie */\n.tl { position: relative; padding-left: 26px; }\n.tl::before {\n  content: \"\"; position: absolute; left: 7px; top: 6px; bottom: 6px;\n  width: 1px; background: var(--line-strong);\n}\n.tl-step { position: relative; padding: 0 0 26px; }\n.tl-step:last-child { padding-bottom: 0; }\n.tl-step::before {\n  content: \"\"; position: absolute; left: -24px; top: 5px; width: 9px; height: 9px;\n  background: var(--paper); border: 1.5px solid var(--ink); border-radius: 50%;\n}\n.tl-step[data-accent=\"true\"]::before { background: var(--accent); border-color: var(--accent); }\n\n/* animations de révélation */\n@keyframes rise {\n  from { opacity: 0; transform: translateY(10px); }\n  to { opacity: 1; transform: none; }\n}\n.rise { animation: rise 0.5s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes growX { from { transform: scaleX(0); } }\n.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes winPop { from { opacity: 0; } }\n.vv-win { animation: winPop 0.4s ease both; }\n@media (prefers-reduced-motion: reduce) {\n  .rise, .grow-x, .vv-win { animation: none; }\n}\n\n/* barres horizontales (historique) — fines, encre, millésime courant en rouge */\n.hbar-track { background: var(--line-soft); border-radius: 0; height: 12px; overflow: hidden; }\n.hbar-fill {\n  display: block; height: 100%; background: var(--ink); border-radius: 0;\n  min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--accent); }\n\n\n/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n.vpm-wrap {\n  position: relative;\n  height: 62vh;\n  min-height: 420px;\n  width: 100%;\n  border: 1px solid var(--line-strong);\n  border-radius: 2px;\n  overflow: hidden;\n  box-shadow: none;\n  z-index: 0;\n}\n.vpm-wrap .ka-map {\n  --ka-accent: var(--accent);\n  --ka-on-accent: #ffffff;\n  --ka-surface: var(--surface);\n  --ka-ink: var(--ink);\n  --ka-line: var(--line-strong);\n  --ka-radius: 2px;\n  --ka-shadow: 0 2px 10px rgba(20, 24, 20, 0.18);\n  --ka-font: var(--font-inter), system-ui, sans-serif;\n  position: absolute;\n  inset: 0;\n}\n.vpm-chip {\n  position: absolute;\n  bottom: 12px;\n  left: 12px;\n  z-index: 9;\n  background: var(--ink-deep);\n  color: var(--paper-on-ink);\n  border: 0;\n  border-radius: 2px;\n  padding: 6px 12px;\n  font-family: var(--font-jetbrains), monospace;\n  font-size: 10.5px;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n}\n.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n.vpm-pop-value {\n  font-family: var(--font-space-grotesk), sans-serif;\n  font-weight: 700;\n  font-size: 22px;\n  letter-spacing: -0.02em;\n  margin-top: 2px;\n}\n.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n.vpm-pop-cta {\n  display: inline-block;\n  margin-top: 12px;\n  padding: 9px 14px;\n  background: var(--ink);\n  color: var(--paper);\n  border: 1px solid var(--ink);\n  border-radius: 2px;\n  font-size: 12.5px;\n  font-weight: 600;\n  cursor: pointer;\n}\n.vpm-pop-cta:active { opacity: 0.85; }\n","structuredPatch":[{"oldStart":1,"oldLines":10,"newStart":1,"newLines":11,"lines":[" /* -----------------------------------------------------------------------------","   Vrai-Prix — estimation immobilière transparente (Québec)","   Auteur : Simon-Pierre Boucher — contact@spboucher.ai","-  Système de design « éditorial sharp » — identité ROUGE distincte de Lou-Ka :","+  Système de design « terminal éditorial » v2 — Bloomberg × FT data × institutionnel :","     · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono","-    · Signature : bordures encre + ombres décalées (néo-brutalisme raffiné)","-    · Accent rouge vif #ff5148 + bordeaux #9e2a25 sur encre","+    · Signature : filets fins (hairlines), grands chiffres, compositions asymétriques,","+      encre profonde + rouge signal réservé à l'information importante","+    · Zéro ombre décalée, zéro pilule, radius 0-2 px — la donnée fait le décor"," ----------------------------------------------------------------------------- */"," @import \"tailwindcss\";"," /* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…)."]},{"oldStart":16,"oldLines":7,"newStart":17,"newLines":8,"lines":[" "," :root {","   /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */","-  --accent: #ff5148;","+  --accent: #d8372e;        /* rouge signal éditorial (lisible sur papier) */","+  --accent-bright: #ff5148; /* rouge vif — marqueurs, points de donnée sur encre */","   --accent-soft: #ffe3e0;","   --accent-deep: #9e2a25;","   --on-accent: #ffffff;"]},{"oldStart":28,"oldLines":6,"newStart":30,"newLines":7,"lines":["   --ink-2: #4d5551;","   --ink-3: #8b928c;","   --line: rgba(20, 24, 20, 0.14);","+  --line-soft: rgba(20, 24, 20, 0.08);","   --line-strong: rgba(20, 24, 20, 0.85);","   --green: #9e2a25;","   --green-deep: #771f1b;"]},{"oldStart":37,"oldLines":11,"newStart":40,"newLines":20,"lines":["   --amber-soft: #fdf3e2;","   --danger: #b3423a;","   --danger-soft: #fbe9e7;","-  --r-card: 10px;","-  --r-ctl: 6px;","+  /* série de graphiques (palette validée : CVD 28,6 · contraste ≥3:1) */","+  --chart-1: #141814; /* unifamiliale */","+  --chart-2: #d8372e; /* condo */","+  --chart-3: #6b736d; /* plex */","+  --r-card: 2px;","+  --r-ctl: 2px;","   --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);","-  --shadow-off: 6px 6px 0 var(--ink);","-  --shadow-off-soft: 8px 8px 0 rgba(20, 24, 20, 0.08);","+  /* ombres décalées héritées — aplaties : le v2 ne porte aucune ombre dure */","+  --shadow-off: 0 1px 2px rgba(20, 24, 20, 0.08);","+  --shadow-off-soft: none;","+  --shadow-off-mid: 0 1px 2px rgba(20, 24, 20, 0.08);","+  /* encre légèrement plus profonde pour les aplats pleine largeur */","+  --ink-deep: #101410;","+  --paper-on-ink: #edeae2;"," }"," "," @theme inline {"]},{"oldStart":58,"oldLines":6,"newStart":70,"newLines":7,"lines":["   --color-amber: var(--amber);","   --color-amber-soft: var(--amber-soft);","   --color-danger: var(--danger);","+  --color-accent: var(--accent);","   --font-display: var(--font-space-grotesk), system-ui, sans-serif;","   --font-body: var(--font-inter), system-ui, sans-serif;","   --font-mono: var(--font-jetbrains), ui-monospace, monospace;"]},{"oldStart":80,"oldLines":10,"newStart":93,"newLines":10,"lines":["   -webkit-font-smoothing: antialiased;","   padding-bottom: env(safe-area-inset-bottom);"," }","-/* grain subtil — texture signature */","+/* grain subtil — texture signature (discret, presque imperceptible) */"," body::before {","   content: \"\";","-  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.35;","+  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.22;","   background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");"," }"," /* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;"]},{"oldStart":95,"oldLines":146,"newStart":108,"newLines":223,"lines":["   font-family: var(--font-space-grotesk), system-ui, sans-serif;","   letter-spacing: -0.03em;"," }","-::selection { background: var(--lime); color: var(--ink); }","+::selection { background: var(--ink); color: var(--paper); }"," "," /* ---------- primitives signature ---------- */"," .vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }"," .vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }"," ","+/* pleine largeur depuis un conteneur centré (héro, bandes encre) */","+.bleed { width: 100vw; margin-left: calc(50% - 50vw); }","+","+/* aplat encre : héro, blocs terminal */","+.vp-dark { background: var(--ink-deep); color: var(--paper-on-ink); }","+.vp-dark ::selection { background: var(--accent-bright); color: var(--ink); }","+"," .kicker {","   font-family: var(--font-jetbrains), ui-monospace, monospace;","-  font-size: 11.5px; font-weight: 500; text-transform: uppercase;","-  letter-spacing: 0.14em; color: var(--green);","-  display: inline-flex; align-items: center; gap: 8px;","+  font-size: 11px; font-weight: 500; text-transform: uppercase;","+  letter-spacing: 0.16em; color: var(--accent);","+  display: inline-flex; align-items: center; gap: 9px;"," }","-.kicker::before { content: \"\"; width: 22px; height: 2px; background: var(--green); }","+.kicker::before { content: \"\"; width: 20px; height: 1.5px; background: var(--accent); }"," "," .klabel {","   font-family: var(--font-jetbrains), ui-monospace, monospace;","-  font-size: 10px; text-transform: uppercase; letter-spacing: 0.1em;","-  color: var(--ink-3); font-weight: 700;","+  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em;","+  color: var(--ink-3); font-weight: 500;"," }"," ","+/* en-tête de section éditorial : filet fort + numéro mono */","+.sec {","+  border-top: 2px solid var(--ink);","+  padding-top: 14px;","+}","+.sec-num {","+  font-family: var(--font-jetbrains), ui-monospace, monospace;","+  font-size: 11px; font-weight: 700; color: var(--accent);","+  letter-spacing: 0.1em;","+}","+","+/* carte héritée — aplatie : surface + hairline, aucune ombre */"," .vp-card {","   background: var(--surface);","-  border: 1.5px solid var(--ink);","+  border: 1px solid var(--line);","   border-radius: var(--r-card);","-  box-shadow: var(--shadow-off-soft);","+  box-shadow: none;"," }","-.vp-card-hover { transition: transform 0.16s ease, box-shadow 0.16s ease; }","-.vp-card-hover:hover { transform: translate(-3px, -3px); box-shadow: var(--shadow-off); }","+.vp-card-hover { transition: border-color 0.15s ease; }","+.vp-card-hover:hover { transform: none; box-shadow: none; border-color: var(--line-strong); }"," ","+/* champ : soulignement éditorial (le cadre disparaît) */"," .vp-input {","-  border: 1.5px solid var(--line); background: var(--surface-2);","-  border-radius: var(--r-ctl); padding: 11px 12px; font-size: 15px;","+  border: 0; border-bottom: 1px solid var(--line-strong); background: transparent;","+  border-radius: 0; padding: 10px 2px; font-size: 15px;","   color: var(--ink); outline: none; font-family: inherit; width: 100%;","   transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;","   appearance: none; -webkit-appearance: none;"," }","-.vp-input:focus { border-color: var(--ink); box-shadow: 3px 3px 0 var(--lime); }","+.vp-input::placeholder { color: var(--ink-3); }","+.vp-input:focus { border-color: var(--accent); box-shadow: 0 1px 0 var(--accent); }"," select.vp-input {","   background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");","-  background-repeat: no-repeat; background-position: right 12px center; padding-right: 30px;","+  background-repeat: no-repeat; background-position: right 6px center; padding-right: 26px;"," }"," @media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */"," "," .btn {","-  border: 1.5px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 20px;","-  font-weight: 700; font-size: 14px; cursor: pointer; min-height: 44px;","-  transition: transform 0.12s ease, box-shadow 0.12s ease, background 0.15s ease;","-  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.01em;","+  border: 1px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 22px;","+  font-weight: 600; font-size: 13.5px; cursor: pointer; min-height: 44px;","+  transition: background 0.15s ease, color 0.15s ease, border-color 0.15s ease;","+  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.02em;","   display: inline-flex; align-items: center; justify-content: center; gap: 8px;"," }","-.btn:active { transform: translate(2px, 2px); box-shadow: none !important; }","-.btn-primary { background: var(--ink); color: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.25); }","-.btn-primary:hover { background: var(--green-deep); }","-.btn-ghost { background: transparent; color: var(--ink); border-color: var(--ink); }","-.btn-ghost:hover { background: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.2); }","+.btn:active { opacity: 0.85; }","+.btn-primary { background: var(--ink); color: var(--paper); }","+.btn-primary:hover { background: var(--accent); border-color: var(--accent); color: #fff; }","+.btn-ghost { background: transparent; color: var(--ink); border-color: var(--line-strong); }","+.btn-ghost:hover { border-color: var(--accent); color: var(--accent-deep); }","+.btn-accent { background: var(--accent); border-color: var(--accent); color: #fff; }","+.btn-accent:hover { background: var(--accent-deep); border-color: var(--accent-deep); }"," ","+/* preuve de données : chiffre fort + libellé mono, séparés par filets */"," .stat-chip {","-  background: var(--surface); border: 1.5px solid var(--ink); border-radius: 999px;","-  padding: 8px 16px; font-family: var(--font-jetbrains), ui-monospace, monospace;","-  font-size: 12px; color: var(--ink-2); display: inline-flex; gap: 8px; align-items: center;","-  box-shadow: 3px 3px 0 rgba(20, 24, 20, 0.12); white-space: nowrap;","+  background: transparent; border: 0; border-left: 1px solid var(--line);","+  border-radius: 0; padding: 2px 0 2px 14px;","+  font-family: var(--font-jetbrains), ui-monospace, monospace;","+  font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em;","+  color: var(--ink-2); display: inline-flex; gap: 7px; align-items: baseline;","+  box-shadow: none; white-space: nowrap;"," }","-.stat-chip b { color: var(--ink); font-weight: 700; }","+.stat-chip:first-child { border-left: 0; padding-left: 0; }","+.stat-chip b {","+  color: var(--ink); font-weight: 700; font-size: 15px;","+  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: -0.01em;","+}"," .stat-chip .pulse {","-  width: 8px; height: 8px; border-radius: 50%; background: var(--green);","-  box-shadow: 0 0 0 4px var(--lime-soft); animation: pulse 2.4s ease infinite;","+  width: 7px; height: 7px; border-radius: 50%; background: var(--accent);","+  align-self: center; animation: pulse 2.4s ease infinite;"," }","-@keyframes pulse { 50% { box-shadow: 0 0 0 7px rgba(255, 81, 72, 0.4); } }","+@keyframes pulse { 50% { box-shadow: 0 0 0 5px rgba(216, 55, 46, 0.18); } }"," ","+/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */"," .hl {","-  background: var(--lime); padding: 0 10px; border-radius: 8px; display: inline-block;","-  transform: rotate(-1deg);","+  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);","+  padding: 0 2px; border-radius: 0; display: inline; transform: none;"," }","-.outline-txt { color: transparent; -webkit-text-stroke: 2px var(--ink); }","+.outline-txt { color: transparent; -webkit-text-stroke: 1.5px var(--ink); }","+.vp-dark .outline-txt { -webkit-text-stroke: 1.5px var(--paper-on-ink); }"," ","-/* ticker */","+/* ticker — bande de cotation (signature terminal) */"," .ticker {","-  background: var(--ink); color: var(--lime); overflow: hidden;","+  background: var(--ink-deep); color: var(--paper-on-ink); overflow: hidden;","   font-family: var(--font-jetbrains), ui-monospace, monospace;","-  font-size: 11.5px; letter-spacing: 0.1em; text-transform: uppercase;","-  padding: 7px 0; white-space: nowrap;","-  border-bottom: 1px solid rgba(255, 81, 72, 0.25);","+  font-size: 10.5px; letter-spacing: 0.09em; text-transform: uppercase;","+  padding: 6px 0; white-space: nowrap;"," }","-.ticker-track { display: inline-flex; animation: ticker 44s linear infinite; will-change: transform; }","-.ticker span { padding: 0 26px; position: relative; }","-.ticker span::after { content: \"◆\"; position: absolute; right: -6px; opacity: 0.5; font-size: 8px; top: 3px; }","+.ticker-track { display: inline-flex; animation: ticker 48s linear infinite; will-change: transform; }","+.ticker span { padding: 0 24px; position: relative; opacity: 0.85; }","+.ticker span::after { content: \"\"; position: absolute; right: -2px; top: 50%; width: 4px; height: 4px; transform: translateY(-50%) rotate(45deg); background: var(--accent-bright); opacity: 0.8; }"," @keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }"," @media (prefers-reduced-motion: reduce) {","   .ticker-track { animation: none; }","   * { transition-duration: 0.01ms !important; }"," }"," ","-/* kv cells (fiche) */","+/* kv cells (fiche) — cellule de données éditoriale : filet haut, pas de boîte */"," .kv-cell {","-  background: var(--surface-2); border: 1.5px solid var(--line);","-  border-radius: var(--r-ctl); padding: 10px 13px;","+  background: transparent; border: 0; border-top: 1px solid var(--line);","+  border-radius: 0; padding: 8px 2px 2px;"," }"," .kv-cell .k {","   font-family: var(--font-jetbrains), ui-monospace, monospace;","   font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;","-  color: var(--ink-3); font-weight: 700;","+  color: var(--ink-3); font-weight: 500;"," }"," .kv-cell .v {","   font-weight: 700; font-size: 14.5px; margin-top: 2px;","   font-family: var(--font-space-grotesk), system-ui, sans-serif;"," }"," ","-/* pills */","+/* pills (indice de confiance) — carrés, fins */"," .pill {","-  display: inline-block; border-radius: 4px; padding: 3px 10px;","+  display: inline-block; border-radius: 2px; padding: 3px 9px;","   font-family: var(--font-jetbrains), ui-monospace, monospace;","   font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;"," }","-.pill-conf-A { background: var(--lime); color: var(--ink); border: 1px solid var(--ink); }","-.pill-conf-B { background: var(--lime-soft); color: var(--green-deep); border: 1px solid var(--green); }","+.pill-conf-A { background: var(--ink); color: var(--paper); border: 1px solid var(--ink); }","+.pill-conf-B { background: transparent; color: var(--ink); border: 1px solid var(--line-strong); }"," .pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }"," .pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }"," ","-/* tableau éditorial */","+/* tableau éditorial — filets fins, en-tête discret, zéro cadre épais */"," .src-wrap {","-  overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card);","-  box-shadow: var(--shadow-off-soft); background: var(--surface);","+  overflow-x: auto; border: 0; border-top: 2px solid var(--ink); border-radius: 0;","+  box-shadow: none; background: transparent;"," }"," .src-table { width: 100%; border-collapse: separate; border-spacing: 0; }"," .src-table th {","   text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;","   font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);","-  padding: 12px 14px; border-bottom: 1.5px solid var(--ink); background: var(--surface-2);","-  white-space: nowrap;","+  padding: 10px 12px 8px; border-bottom: 1px solid var(--line-strong); background: transparent;","+  white-space: nowrap; font-weight: 500;"," }","-.src-table td { padding: 11px 14px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }","+.src-table td { padding: 12px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }"," .src-table tr:last-child td { border-bottom: none; }"," .src-table tr:hover td { background: var(--surface-2); }"," ","+/* flux de ventes (accueil) — rangée prix-d'abord */","+.feed-row {","+  display: block; border-bottom: 1px solid var(--line); padding: 14px 2px;","+  transition: background 0.12s ease;","+}","+.feed-row:hover { background: var(--surface-2); }","+","+/* onglets de contrôle (période / catégorie) */","+.vp-tab {","+  font-family: var(--font-jetbrains), ui-monospace, monospace;","+  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.08em;","+  color: var(--ink-3); padding: 8px 2px 6px; border: 0; background: transparent;","+  border-bottom: 2px solid transparent; cursor: pointer; min-height: 34px;","+  transition: color 0.12s ease, border-color 0.12s ease;","+}","+.vp-tab:hover { color: var(--ink); }","+.vp-tab[aria-pressed=\"true\"], .vp-tab[aria-selected=\"true\"] {","+  color: var(--ink); border-bottom-color: var(--accent);","+}","+","+/* infobulle de graphique */","+.vv-tip {","+  position: absolute; pointer-events: none; z-index: 5;","+  background: var(--ink-deep); color: var(--paper-on-ink);","+  border-radius: 2px; padding: 8px 10px; min-width: 130px;","+  font-family: var(--font-jetbrains), ui-monospace, monospace; font-size: 10.5px;","+  box-shadow: 0 2px 10px rgba(20, 24, 20, 0.25);","+}","+.vv-tip .row { display: flex; align-items: center; justify-content: space-between; gap: 12px; padding: 1.5px 0; }","+.vv-tip .key { display: inline-block; width: 10px; height: 2px; margin-right: 6px; vertical-align: middle; }","+.vv-tip .val { font-weight: 700; color: #fff; }","+","+/* timeline méthodologie */","+.tl { position: relative; padding-left: 26px; }","+.tl::before {","+  content: \"\"; position: absolute; left: 7px; top: 6px; bottom: 6px;","+  width: 1px; background: var(--line-strong);","+}","+.tl-step { position: relative; padding: 0 0 26px; }","+.tl-step:last-child { padding-bottom: 0; }","+.tl-step::before {","+  content: \"\"; position: absolute; left: -24px; top: 5px; width: 9px; height: 9px;","+  background: var(--paper); border: 1.5px solid var(--ink); border-radius: 50%;","+}","+.tl-step[data-accent=\"true\"]::before { background: var(--accent); border-color: var(--accent); }","+"," /* animations de révélation */"," @keyframes rise {","-  from { opacity: 0; transform: translateY(12px); }","+  from { opacity: 0; transform: translateY(10px); }","   to { opacity: 1; transform: none; }"," }","-.rise { animation: rise 0.55s cubic-bezier(0.2, 0.8, 0.2, 1) both; }","+.rise { animation: rise 0.5s cubic-bezier(0.2, 0.8, 0.2, 1) both; }"," @keyframes growX { from { transform: scaleX(0); } }"," .grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }"," @keyframes winPop { from { opacity: 0; } }"]},{"oldStart":243,"oldLines":13,"newStart":333,"newLines":13,"lines":["   .rise, .grow-x, .vv-win { animation: none; }"," }"," ","-/* barres horizontales (historique) */","-.hbar-track { background: var(--surface-2); border-radius: 0 4px 4px 0; height: 18px; overflow: hidden; }","+/* barres horizontales (historique) — fines, encre, millésime courant en rouge */","+.hbar-track { background: var(--line-soft); border-radius: 0; height: 12px; overflow: hidden; }"," .hbar-fill {","-  display: block; height: 100%; background: var(--green); border-radius: 0 4px 4px 0;","+  display: block; height: 100%; background: var(--ink); border-radius: 0;","   min-width: 2px; transition: background 0.12s ease;"," }","-.hbar-row:hover .hbar-fill { background: var(--ink); box-shadow: inset 0 0 0 2px var(--lime); }","+.hbar-row:hover .hbar-fill { background: var(--accent); }"," "," "," /* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */"]},{"oldStart":258,"oldLines":20,"newStart":348,"newLines":20,"lines":["   height: 62vh;","   min-height: 420px;","   width: 100%;","-  border: 1.5px solid var(--ink);","-  border-radius: 16px;","+  border: 1px solid var(--line-strong);","+  border-radius: 2px;","   overflow: hidden;","-  box-shadow: 6px 6px 0 rgba(20, 24, 20, 0.22);","+  box-shadow: none;","   z-index: 0;"," }"," .vpm-wrap .ka-map {","-  --ka-accent: var(--lime);","+  --ka-accent: var(--accent);","   --ka-on-accent: #ffffff;","   --ka-surface: var(--surface);","   --ka-ink: var(--ink);","-  --ka-line: var(--ink);","-  --ka-radius: 10px;","-  --ka-shadow: 4px 4px 0 rgba(20, 24, 20, 0.2);","+  --ka-line: var(--line-strong);","+  --ka-radius: 2px;","+  --ka-shadow: 0 2px 10px rgba(20, 24, 20, 0.18);","   --ka-font: var(--font-inter), system-ui, sans-serif;","   position: absolute;","   inset: 0;"]},{"oldStart":281,"oldLines":10,"newStart":371,"newLines":10,"lines":["   bottom: 12px;","   left: 12px;","   z-index: 9;","-  background: var(--surface);","-  color: var(--ink);","-  border: 1.5px solid var(--ink);","-  border-radius: 999px;","+  background: var(--ink-deep);","+  color: var(--paper-on-ink);","+  border: 0;","+  border-radius: 2px;","   padding: 6px 12px;","   font-family: var(--font-jetbrains), monospace;","   font-size: 10.5px;"]},{"oldStart":306,"oldLines":11,"newStart":396,"newLines":11,"lines":["   margin-top: 12px;","   padding: 9px 14px;","   background: var(--ink);","-  color: var(--lime);","-  border: 1.5px solid var(--ink);","-  border-radius: 999px;","+  color: var(--paper);","+  border: 1px solid var(--ink);","+  border-radius: 2px;","   font-size: 12.5px;","   font-weight: 600;","   cursor: pointer;"," }","-.vpm-pop-cta:active { transform: translate(2px, 2px); }","+.vpm-pop-cta:active { opacity: 0.85; }"]}],"originalFile":"/* -----------------------------------------------------------------------------\n  Vrai-Prix — estimation immobilière transparente (Québec)\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Système de design « éditorial sharp » — identité ROUGE distincte de Lou-Ka :\n    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Signature : bordures encre + ombres décalées (néo-brutalisme raffiné)\n    · Accent rouge vif #ff5148 + bordeaux #9e2a25 sur encre\n----------------------------------------------------------------------------- */\n@import \"tailwindcss\";\n/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n   des titres (règles éléments non-layered > utilitaires layered). */\n@import \"../ka/tokens.css\" layer(base);\n\n:root {\n  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n  --accent: #ff5148;\n  --accent-soft: #ffe3e0;\n  --accent-deep: #9e2a25;\n  --on-accent: #ffffff;\n\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #9e2a25;\n  --green-deep: #771f1b;\n  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n  --lime-soft: var(--accent-soft);\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n  --r-card: 10px;\n  --r-ctl: 6px;\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  --shadow-off: 6px 6px 0 var(--ink);\n  --shadow-off-soft: 8px 8px 0 rgba(20, 24, 20, 0.08);\n}\n\n@theme inline {\n  --color-paper: var(--paper);\n  --color-surface: var(--surface);\n  --color-surface-2: var(--surface-2);\n  --color-ink: var(--ink);\n  --color-ink-2: var(--ink-2);\n  --color-ink-3: var(--ink-3);\n  --color-green: var(--green);\n  --color-green-deep: var(--green-deep);\n  --color-lime: var(--lime);\n  --color-lime-soft: var(--lime-soft);\n  --color-amber: var(--amber);\n  --color-amber-soft: var(--amber-soft);\n  --color-danger: var(--danger);\n  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n  --font-body: var(--font-inter), system-ui, sans-serif;\n  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n}\n\n/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n   design local dimensionne les siens via utilitaires → on rétablit le\n   comportement preflight (même layer, source postérieure = prioritaire). */\n@layer base {\n  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n}\n\nhtml { scroll-behavior: smooth; }\nbody {\n  background: var(--paper);\n  color: var(--ink);\n  font-family: var(--font-inter), system-ui, sans-serif;\n  font-size: 15px;\n  line-height: 1.55;\n  -webkit-font-smoothing: antialiased;\n  padding-bottom: env(safe-area-inset-bottom);\n}\n/* grain subtil — texture signature */\nbody::before {\n  content: \"\";\n  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.35;\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n}\n/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\nbody > * { position: relative; }\n\nh1, h2, h3, h4 {\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n  letter-spacing: -0.03em;\n}\n::selection { background: var(--lime); color: var(--ink); }\n\n/* ---------- primitives signature ---------- */\n.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n\n.kicker {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11.5px; font-weight: 500; text-transform: uppercase;\n  letter-spacing: 0.14em; color: var(--green);\n  display: inline-flex; align-items: center; gap: 8px;\n}\n.kicker::before { content: \"\"; width: 22px; height: 2px; background: var(--green); }\n\n.klabel {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 700;\n}\n\n.vp-card {\n  background: var(--surface);\n  border: 1.5px solid var(--ink);\n  border-radius: var(--r-card);\n  box-shadow: var(--shadow-off-soft);\n}\n.vp-card-hover { transition: transform 0.16s ease, box-shadow 0.16s ease; }\n.vp-card-hover:hover { transform: translate(-3px, -3px); box-shadow: var(--shadow-off); }\n\n.vp-input {\n  border: 1.5px solid var(--line); background: var(--surface-2);\n  border-radius: var(--r-ctl); padding: 11px 12px; font-size: 15px;\n  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n  appearance: none; -webkit-appearance: none;\n}\n.vp-input:focus { border-color: var(--ink); box-shadow: 3px 3px 0 var(--lime); }\nselect.vp-input {\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n  background-repeat: no-repeat; background-position: right 12px center; padding-right: 30px;\n}\n@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n\n.btn {\n  border: 1.5px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 20px;\n  font-weight: 700; font-size: 14px; cursor: pointer; min-height: 44px;\n  transition: transform 0.12s ease, box-shadow 0.12s ease, background 0.15s ease;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.01em;\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n}\n.btn:active { transform: translate(2px, 2px); box-shadow: none !important; }\n.btn-primary { background: var(--ink); color: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.25); }\n.btn-primary:hover { background: var(--green-deep); }\n.btn-ghost { background: transparent; color: var(--ink); border-color: var(--ink); }\n.btn-ghost:hover { background: var(--lime); box-shadow: 4px 4px 0 rgba(20,24,20,0.2); }\n\n.stat-chip {\n  background: var(--surface); border: 1.5px solid var(--ink); border-radius: 999px;\n  padding: 8px 16px; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 12px; color: var(--ink-2); display: inline-flex; gap: 8px; align-items: center;\n  box-shadow: 3px 3px 0 rgba(20, 24, 20, 0.12); white-space: nowrap;\n}\n.stat-chip b { color: var(--ink); font-weight: 700; }\n.stat-chip .pulse {\n  width: 8px; height: 8px; border-radius: 50%; background: var(--green);\n  box-shadow: 0 0 0 4px var(--lime-soft); animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 7px rgba(255, 81, 72, 0.4); } }\n\n.hl {\n  background: var(--lime); padding: 0 10px; border-radius: 8px; display: inline-block;\n  transform: rotate(-1deg);\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 2px var(--ink); }\n\n/* ticker */\n.ticker {\n  background: var(--ink); color: var(--lime); overflow: hidden;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11.5px; letter-spacing: 0.1em; text-transform: uppercase;\n  padding: 7px 0; white-space: nowrap;\n  border-bottom: 1px solid rgba(255, 81, 72, 0.25);\n}\n.ticker-track { display: inline-flex; animation: ticker 44s linear infinite; will-change: transform; }\n.ticker span { padding: 0 26px; position: relative; }\n.ticker span::after { content: \"◆\"; position: absolute; right: -6px; opacity: 0.5; font-size: 8px; top: 3px; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n  .ticker-track { animation: none; }\n  * { transition-duration: 0.01ms !important; }\n}\n\n/* kv cells (fiche) */\n.kv-cell {\n  background: var(--surface-2); border: 1.5px solid var(--line);\n  border-radius: var(--r-ctl); padding: 10px 13px;\n}\n.kv-cell .k {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 700;\n}\n.kv-cell .v {\n  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n}\n\n/* pills */\n.pill {\n  display: inline-block; border-radius: 4px; padding: 3px 10px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n}\n.pill-conf-A { background: var(--lime); color: var(--ink); border: 1px solid var(--ink); }\n.pill-conf-B { background: var(--lime-soft); color: var(--green-deep); border: 1px solid var(--green); }\n.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n\n/* tableau éditorial */\n.src-wrap {\n  overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card);\n  box-shadow: var(--shadow-off-soft); background: var(--surface);\n}\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n.src-table th {\n  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n  padding: 12px 14px; border-bottom: 1.5px solid var(--ink); background: var(--surface-2);\n  white-space: nowrap;\n}\n.src-table td { padding: 11px 14px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--surface-2); }\n\n/* animations de révélation */\n@keyframes rise {\n  from { opacity: 0; transform: translateY(12px); }\n  to { opacity: 1; transform: none; }\n}\n.rise { animation: rise 0.55s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes growX { from { transform: scaleX(0); } }\n.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes winPop { from { opacity: 0; } }\n.vv-win { animation: winPop 0.4s ease both; }\n@media (prefers-reduced-motion: reduce) {\n  .rise, .grow-x, .vv-win { animation: none; }\n}\n\n/* barres horizontales (historique) */\n.hbar-track { background: var(--surface-2); border-radius: 0 4px 4px 0; height: 18px; overflow: hidden; }\n.hbar-fill {\n  display: block; height: 100%; background: var(--green); border-radius: 0 4px 4px 0;\n  min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--ink); box-shadow: inset 0 0 0 2px var(--lime); }\n\n\n/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n.vpm-wrap {\n  position: relative;\n  height: 62vh;\n  min-height: 420px;\n  width: 100%;\n  border: 1.5px solid var(--ink);\n  border-radius: 16px;\n  overflow: hidden;\n  box-shadow: 6px 6px 0 rgba(20, 24, 20, 0.22);\n  z-index: 0;\n}\n.vpm-wrap .ka-map {\n  --ka-accent: var(--lime);\n  --ka-on-accent: #ffffff;\n  --ka-surface: var(--surface);\n  --ka-ink: var(--ink);\n  --ka-line: var(--ink);\n  --ka-radius: 10px;\n  --ka-shadow: 4px 4px 0 rgba(20, 24, 20, 0.2);\n  --ka-font: var(--font-inter), system-ui, sans-serif;\n  position: absolute;\n  inset: 0;\n}\n.vpm-chip {\n  position: absolute;\n  bottom: 12px;\n  left: 12px;\n  z-index: 9;\n  background: var(--surface);\n  color: var(--ink);\n  border: 1.5px solid var(--ink);\n  border-radius: 999px;\n  padding: 6px 12px;\n  font-family: var(--font-jetbrains), monospace;\n  font-size: 10.5px;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n}\n.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n.vpm-pop-value {\n  font-family: var(--font-space-grotesk), sans-serif;\n  font-weight: 700;\n  font-size: 22px;\n  letter-spacing: -0.02em;\n  margin-top: 2px;\n}\n.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n.vpm-pop-cta {\n  display: inline-block;\n  margin-top: 12px;\n  padding: 9px 14px;\n  background: var(--ink);\n  color: var(--lime);\n  border: 1.5px solid var(--ink);\n  border-radius: 999px;\n  font-size: 12.5px;\n  font-weight: 600;\n  cursor: pointer;\n}\n.vpm-pop-cta:active { transform: translate(2px, 2px); }\n","userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d0557677-c548-4892-ab99-4f7d3b7f4e16","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"e6c4ed2b-20b7-43e9-bd60-2f3ce7734513","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"b39daab1-43b0-403d-a704-0ce7c92b3cf4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"f793ce71-fc1c-466e-bd7b-98a52a1f319f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":50,"uuid":"099d8693-1857-4f26-8282-556dbf9d3622","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"607dcdbe-314e-46b0-a5d5-9e2ac50dec2c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"00297387-097e-4684-b55e-3251e54fe28c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"e5a31fed-103e-4d90-bde4-b8f73440125c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":50,"uuid":"cd083b2c-8be4-4619-ae65-ef5368c33cbe","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"9184bd8d-4c31-4fef-b071-5e15a9e6ed3c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"3ce6cc6d-536c-425c-b15a-8eca89ecf02d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9amdCgCHRKNNYnXLk7","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8287,"cache_read_input_tokens":133540,"cache_creation":{"ephemeral_5m_input_tokens":8287,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9e05b757-16fe-433d-a21a-6e370f43b6b1","request_id":"req_011CeQ9ak4hDNW6R8R7T6Ajw"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9amdCgCHRKNNYnXLk7","type":"message","role":"assistant","content":[{"type":"text","text":"Task 1 terminé. Task 2 : header compact, navigation, boutons KA ID / langue, menu mobile encre."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8287,"cache_read_input_tokens":133540,"cache_creation":{"ephemeral_5m_input_tokens":8287,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8dccfb29-96ff-4bcf-9128-ba82b3bd02ec","request_id":"req_011CeQ9ak4hDNW6R8R7T6Ajw"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9amdCgCHRKNNYnXLk7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016kcBvsVuvT3smKeg1aWgim","name":"TaskUpdate","input":{"taskId":"1","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8287,"cache_read_input_tokens":133540,"cache_creation":{"ephemeral_5m_input_tokens":8287,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1949c779-f014-40de-aa1a-c98f47ee478d","request_id":"req_011CeQ9ak4hDNW6R8R7T6Ajw"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016kcBvsVuvT3smKeg1aWgim","type":"tool_result","content":"Updated task #1 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"422cdaac-ba93-4af1-b6a9-7877a8c6436d","timestamp":"2026-08-25T21:07:28.087Z","tool_use_result":{"success":true,"taskId":"1","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9amdCgCHRKNNYnXLk7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A7j16LioTzoNq7eQFGT6Aq","name":"TaskUpdate","input":{"taskId":"2","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8287,"cache_read_input_tokens":133540,"cache_creation":{"ephemeral_5m_input_tokens":8287,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ef40d9d4-9108-4dd2-ba51-6bbe1fa0ad57","request_id":"req_011CeQ9ak4hDNW6R8R7T6Ajw"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A7j16LioTzoNq7eQFGT6Aq","type":"tool_result","content":"Updated task #2 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"30466624-078f-499b-b15c-6ea9a6b0c25b","timestamp":"2026-08-25T21:07:28.093Z","tool_use_result":{"success":true,"taskId":"2","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ee17eb15-9d1c-48f2-a735-4a175e112914","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9c81pbCaneXUdVYAjR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y3dsZyUwSTEQBkoCuNoStE","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx","old_string":"          {/* header opaque (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b-2 border-ink bg-paper\">\n            <div className=\"relative mx-auto flex h-16 max-w-6xl items-center gap-5 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display group relative flex items-center text-[22px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-[''] sm:text-[26px]\"\n              >\n                Vrai\n                <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime transition-transform duration-200 group-hover:rotate-0\">\n                  Prix\n                </span>\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-2\">\n                <HeaderNav />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>","new_string":"          {/* header opaque compact (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b border-[var(--line-strong)] bg-paper\">\n            <div className=\"relative mx-auto flex h-14 max-w-6xl items-center gap-6 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display relative flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-['']\"\n              >\n                Vrai&nbsp;Prix\n                <span\n                  aria-hidden=\"true\"\n                  className=\"inline-block h-[7px] w-[7px] bg-accent\"\n                />\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-3 sm:gap-4\">\n                <HeaderNav />\n                <span\n                  aria-hidden=\"true\"\n                  className=\"hidden h-4 w-px bg-[var(--line)] lg:inline-block\"\n                />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1102,"cache_read_input_tokens":141827,"cache_creation":{"ephemeral_5m_input_tokens":1102,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"81f6df11-be7b-41e9-b7d4-3d4885f65d79","request_id":"req_011CeQ9c69hmXynfBjS51J85"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y3dsZyUwSTEQBkoCuNoStE","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fafc2bd9-977a-4e38-8a3b-4186e5d9271b","timestamp":"2026-08-25T21:07:40.705Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx","oldString":"          {/* header opaque (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b-2 border-ink bg-paper\">\n            <div className=\"relative mx-auto flex h-16 max-w-6xl items-center gap-5 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display group relative flex items-center text-[22px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-[''] sm:text-[26px]\"\n              >\n                Vrai\n                <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime transition-transform duration-200 group-hover:rotate-0\">\n                  Prix\n                </span>\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-2\">\n                <HeaderNav />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>","newString":"          {/* header opaque compact (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b border-[var(--line-strong)] bg-paper\">\n            <div className=\"relative mx-auto flex h-14 max-w-6xl items-center gap-6 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display relative flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-['']\"\n              >\n                Vrai&nbsp;Prix\n                <span\n                  aria-hidden=\"true\"\n                  className=\"inline-block h-[7px] w-[7px] bg-accent\"\n                />\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-3 sm:gap-4\">\n                <HeaderNav />\n                <span\n                  aria-hidden=\"true\"\n                  className=\"hidden h-4 w-px bg-[var(--line)] lg:inline-block\"\n                />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\nimport type { Metadata, Viewport } from \"next\";\nimport { Inter, JetBrains_Mono, Space_Grotesk } from \"next/font/google\";\nimport \"./globals.css\";\nimport { LangProvider, LangToggle } from \"@/components/LangContext\";\nimport AccountButton from \"@/components/AccountButton\";\nimport CookieConsent from \"@/components/CookieConsent\";\nimport FooterNav from \"@/components/FooterNav\";\nimport HeaderNav from \"@/components/HeaderNav\";\nimport GroupeKaBadge from \"@/ka/GroupeKaBadge\";\nimport KaFooter from \"@/ka/KaFooter\";\nimport Link from \"next/link\";\nimport { SITE_URL } from \"@/lib/seo\";\n\nconst inter = Inter({ subsets: [\"latin\"], variable: \"--font-inter\" });\nconst spaceGrotesk = Space_Grotesk({\n  subsets: [\"latin\"],\n  variable: \"--font-space-grotesk\",\n});\nconst jetbrains = JetBrains_Mono({\n  subsets: [\"latin\"],\n  variable: \"--font-jetbrains\",\n});\n\nexport const metadata: Metadata = {\n  metadataBase: new URL(SITE_URL),\n  title: {\n    default: \"Vrai-Prix — Un service Groupe KA\",\n    template: \"%s | Vrai-Prix\",\n  },\n  description:\n    \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance. 3,7 millions de propriétés, 1 100 municipalités.\",\n  applicationName: \"Vrai-Prix\",\n  icons: { icon: \"/favicon.svg\", apple: \"/apple-touch-icon.png\" },\n  openGraph: {\n    type: \"website\",\n    siteName: \"Vrai-Prix\",\n    locale: \"fr_CA\",\n    url: SITE_URL,\n    title: \"Vrai-Prix — Un service Groupe KA\",\n    description:\n      \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n  },\n  twitter: {\n    card: \"summary_large_image\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n    title: \"Vrai-Prix — Un service Groupe KA\",\n    description:\n      \"Estimation immobilière transparente pour le Québec : 3,7 millions de propriétés estimées, calcul montré en entier.\",\n  },\n  formatDetection: { telephone: false },\n};\n\n/** Viewport mobile : viewport-fit=cover pour les encoches iOS (safe-area). */\nexport const viewport: Viewport = {\n  width: \"device-width\",\n  initialScale: 1,\n  viewportFit: \"cover\",\n};\n\n/** JSON-LD global : l'organisation et le site (entités schema.org). */\nconst ORG_JSONLD = {\n  \"@context\": \"https://schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Organization\",\n      \"@id\": `${SITE_URL}/#org`,\n      name: \"Vrai-Prix\",\n      url: SITE_URL,\n      email: \"contact@spboucher.ai\",\n      founder: { \"@type\": \"Person\", name: \"Simon-Pierre Boucher\" },\n      areaServed: { \"@type\": \"AdministrativeArea\", name: \"Québec, Canada\" },\n    },\n    {\n      \"@type\": \"WebSite\",\n      \"@id\": `${SITE_URL}/#site`,\n      name: \"Vrai-Prix\",\n      url: SITE_URL,\n      inLanguage: \"fr-CA\",\n      publisher: { \"@id\": `${SITE_URL}/#org` },\n      description:\n        \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n    },\n  ],\n};\n\nconst TICKER = [\n  \"3 747 008 unités d'évaluation\",\n  \"745 119 ventes réelles 2021-2026\",\n  \"22 M d'estimations calculées\",\n  \"Fourchette honnête P10-P90\",\n  \"Indice de confiance A-D\",\n  \"Zéro boîte noire — le calcul est montré\",\n  \"1 100 municipalités couvertes\",\n  \"Erreur médiane 11 %\",\n];\n\nexport default function RootLayout({ children }: LayoutProps<\"/\">) {\n  return (\n    <html lang=\"fr-CA\">\n      <body\n        className={`${inter.variable} ${spaceGrotesk.variable} ${jetbrains.variable}`}\n      >\n        <script\n          type=\"application/ld+json\"\n          dangerouslySetInnerHTML={{ __html: JSON.stringify(ORG_JSONLD) }}\n        />\n        <LangProvider>\n          {/* header opaque (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b-2 border-ink bg-paper\">\n            <div className=\"relative mx-auto flex h-16 max-w-6xl items-center gap-5 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display group relative flex items-center text-[22px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-[''] sm:text-[26px]\"\n              >\n                Vrai\n                <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime transition-transform duration-200 group-hover:rotate-0\">\n                  Prix\n                </span>\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-2\">\n                <HeaderNav />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>\n          <div className=\"ticker\" aria-hidden=\"true\">\n            <div className=\"ticker-track\">\n              {[...TICKER, ...TICKER].map((s, i) => (\n                <span key={i}>{s}</span>\n              ))}\n            </div>\n          </div>\n          <main className=\"mx-auto max-w-6xl px-4 pb-16 sm:px-6\">{children}</main>\n          {/* rangée locale (papier) : marque + liens de navigation du site,\n              puis le bloc encre final = KaFooter (commun Groupe KA) */}\n          <div className=\"mx-auto max-w-6xl px-4 sm:px-6\">\n            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai\n                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">\n                  Prix\n                </span>\n              </p>\n              <p className=\"max-w-2xl\">\n                Estimations bâties sur les rôles d&apos;évaluation foncière du\n                Québec (MAMH, données ouvertes) et 745 119 transactions réelles.\n                Modèle hédonique + comparables ajustés, calcul montré en entier.\n                Estimation statistique à titre indicatif.\n              </p>\n              <FooterNav />\n            </div>\n          </div>\n          <KaFooter\n            siteId=\"vrai-prix\"\n            localLegal={[\n              { label: \"Conditions\", href: \"/conditions\" },\n              { label: \"Confidentialité\", href: \"/confidentialite\" },\n              { label: \"Méthodologie\", href: \"/methodologie\" },\n            ]}\n          />\n          <CookieConsent />\n          <script\n            dangerouslySetInnerHTML={{\n              __html: 'window.KA_AGENT={site:\"vrai-prix\"}',\n            }}\n          />\n          <script src=\"/ka-agent.js\" defer />\n        </LangProvider>\n      </body>\n    </html>\n  );\n}\n","structuredPatch":[{"oldStart":111,"oldLines":25,"newStart":111,"newLines":30,"lines":["           dangerouslySetInnerHTML={{ __html: JSON.stringify(ORG_JSONLD) }}","         />","         <LangProvider>","-          {/* header opaque (standard header/menu KA 2026-08-22) */}","-          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b-2 border-ink bg-paper\">","-            <div className=\"relative mx-auto flex h-16 max-w-6xl items-center gap-5 px-4 sm:px-6\">","+          {/* header opaque compact (standard header/menu KA 2026-08-22) */}","+          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b border-[var(--line-strong)] bg-paper\">","+            <div className=\"relative mx-auto flex h-14 max-w-6xl items-center gap-6 px-4 sm:px-6\">","               <Link","                 href=\"/\"","-                className=\"vp-display group relative flex items-center text-[22px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-[''] sm:text-[26px]\"","+                className=\"vp-display relative flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-['']\"","               >","-                Vrai","-                <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime transition-transform duration-200 group-hover:rotate-0\">","-                  Prix","-                </span>","+                Vrai&nbsp;Prix","+                <span","+                  aria-hidden=\"true\"","+                  className=\"inline-block h-[7px] w-[7px] bg-accent\"","+                />","               </Link>","               {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;","                   le menu mobile porte sa propre entrée) */}","               <span className=\"hidden xl:inline-flex\">","                 <GroupeKaBadge />","               </span>","-              <div className=\"ml-auto flex items-center gap-2\">","+              <div className=\"ml-auto flex items-center gap-3 sm:gap-4\">","                 <HeaderNav />","+                <span","+                  aria-hidden=\"true\"","+                  className=\"hidden h-4 w-px bg-[var(--line)] lg:inline-block\"","+                />","                 <AccountButton />","                 <LangToggle />","               </div>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9c81pbCaneXUdVYAjR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ATgWPv2q6GBLdhPkM6WksV","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx","old_string":"            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai\n                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">\n                  Prix\n                </span>\n              </p>","new_string":"            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 flex items-baseline gap-2 text-[24px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai&nbsp;Prix\n                <span\n                  aria-hidden=\"true\"\n                  className=\"inline-block h-[8px] w-[8px] bg-accent\"\n                />\n              </p>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1102,"cache_read_input_tokens":141827,"cache_creation":{"ephemeral_5m_input_tokens":1102,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e5d23187-221e-44e4-b300-9662dc58be73","request_id":"req_011CeQ9c69hmXynfBjS51J85"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ATgWPv2q6GBLdhPkM6WksV","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f4aad853-b115-4f4f-ba7f-0cd761e8972a","timestamp":"2026-08-25T21:07:43.654Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/layout.tsx","oldString":"            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai\n                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">\n                  Prix\n                </span>\n              </p>","newString":"            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 flex items-baseline gap-2 text-[24px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai&nbsp;Prix\n                <span\n                  aria-hidden=\"true\"\n                  className=\"inline-block h-[8px] w-[8px] bg-accent\"\n                />\n              </p>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\nimport type { Metadata, Viewport } from \"next\";\nimport { Inter, JetBrains_Mono, Space_Grotesk } from \"next/font/google\";\nimport \"./globals.css\";\nimport { LangProvider, LangToggle } from \"@/components/LangContext\";\nimport AccountButton from \"@/components/AccountButton\";\nimport CookieConsent from \"@/components/CookieConsent\";\nimport FooterNav from \"@/components/FooterNav\";\nimport HeaderNav from \"@/components/HeaderNav\";\nimport GroupeKaBadge from \"@/ka/GroupeKaBadge\";\nimport KaFooter from \"@/ka/KaFooter\";\nimport Link from \"next/link\";\nimport { SITE_URL } from \"@/lib/seo\";\n\nconst inter = Inter({ subsets: [\"latin\"], variable: \"--font-inter\" });\nconst spaceGrotesk = Space_Grotesk({\n  subsets: [\"latin\"],\n  variable: \"--font-space-grotesk\",\n});\nconst jetbrains = JetBrains_Mono({\n  subsets: [\"latin\"],\n  variable: \"--font-jetbrains\",\n});\n\nexport const metadata: Metadata = {\n  metadataBase: new URL(SITE_URL),\n  title: {\n    default: \"Vrai-Prix — Un service Groupe KA\",\n    template: \"%s | Vrai-Prix\",\n  },\n  description:\n    \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance. 3,7 millions de propriétés, 1 100 municipalités.\",\n  applicationName: \"Vrai-Prix\",\n  icons: { icon: \"/favicon.svg\", apple: \"/apple-touch-icon.png\" },\n  openGraph: {\n    type: \"website\",\n    siteName: \"Vrai-Prix\",\n    locale: \"fr_CA\",\n    url: SITE_URL,\n    title: \"Vrai-Prix — Un service Groupe KA\",\n    description:\n      \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n  },\n  twitter: {\n    card: \"summary_large_image\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n    title: \"Vrai-Prix — Un service Groupe KA\",\n    description:\n      \"Estimation immobilière transparente pour le Québec : 3,7 millions de propriétés estimées, calcul montré en entier.\",\n  },\n  formatDetection: { telephone: false },\n};\n\n/** Viewport mobile : viewport-fit=cover pour les encoches iOS (safe-area). */\nexport const viewport: Viewport = {\n  width: \"device-width\",\n  initialScale: 1,\n  viewportFit: \"cover\",\n};\n\n/** JSON-LD global : l'organisation et le site (entités schema.org). */\nconst ORG_JSONLD = {\n  \"@context\": \"https://schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Organization\",\n      \"@id\": `${SITE_URL}/#org`,\n      name: \"Vrai-Prix\",\n      url: SITE_URL,\n      email: \"contact@spboucher.ai\",\n      founder: { \"@type\": \"Person\", name: \"Simon-Pierre Boucher\" },\n      areaServed: { \"@type\": \"AdministrativeArea\", name: \"Québec, Canada\" },\n    },\n    {\n      \"@type\": \"WebSite\",\n      \"@id\": `${SITE_URL}/#site`,\n      name: \"Vrai-Prix\",\n      url: SITE_URL,\n      inLanguage: \"fr-CA\",\n      publisher: { \"@id\": `${SITE_URL}/#org` },\n      description:\n        \"Estimation immobilière transparente pour le Québec : modèle hédonique + comparables réels, fourchette honnête et indice de confiance.\",\n    },\n  ],\n};\n\nconst TICKER = [\n  \"3 747 008 unités d'évaluation\",\n  \"745 119 ventes réelles 2021-2026\",\n  \"22 M d'estimations calculées\",\n  \"Fourchette honnête P10-P90\",\n  \"Indice de confiance A-D\",\n  \"Zéro boîte noire — le calcul est montré\",\n  \"1 100 municipalités couvertes\",\n  \"Erreur médiane 11 %\",\n];\n\nexport default function RootLayout({ children }: LayoutProps<\"/\">) {\n  return (\n    <html lang=\"fr-CA\">\n      <body\n        className={`${inter.variable} ${spaceGrotesk.variable} ${jetbrains.variable}`}\n      >\n        <script\n          type=\"application/ld+json\"\n          dangerouslySetInnerHTML={{ __html: JSON.stringify(ORG_JSONLD) }}\n        />\n        <LangProvider>\n          {/* header opaque compact (standard header/menu KA 2026-08-22) */}\n          <header className=\"sticky top-0 z-[var(--z-header,500)] border-b border-[var(--line-strong)] bg-paper\">\n            <div className=\"relative mx-auto flex h-14 max-w-6xl items-center gap-6 px-4 sm:px-6\">\n              <Link\n                href=\"/\"\n                className=\"vp-display relative flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] after:absolute after:-inset-2 after:content-['']\"\n              >\n                Vrai&nbsp;Prix\n                <span\n                  aria-hidden=\"true\"\n                  className=\"inline-block h-[7px] w-[7px] bg-accent\"\n                />\n              </Link>\n              {/* badge Groupe KA — desktop seulement (l'espace manque sous xl ;\n                  le menu mobile porte sa propre entrée) */}\n              <span className=\"hidden xl:inline-flex\">\n                <GroupeKaBadge />\n              </span>\n              <div className=\"ml-auto flex items-center gap-3 sm:gap-4\">\n                <HeaderNav />\n                <span\n                  aria-hidden=\"true\"\n                  className=\"hidden h-4 w-px bg-[var(--line)] lg:inline-block\"\n                />\n                <AccountButton />\n                <LangToggle />\n              </div>\n            </div>\n          </header>\n          <div className=\"ticker\" aria-hidden=\"true\">\n            <div className=\"ticker-track\">\n              {[...TICKER, ...TICKER].map((s, i) => (\n                <span key={i}>{s}</span>\n              ))}\n            </div>\n          </div>\n          <main className=\"mx-auto max-w-6xl px-4 pb-16 sm:px-6\">{children}</main>\n          {/* rangée locale (papier) : marque + liens de navigation du site,\n              puis le bloc encre final = KaFooter (commun Groupe KA) */}\n          <div className=\"mx-auto max-w-6xl px-4 sm:px-6\">\n            <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">\n              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">\n                Vrai\n                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">\n                  Prix\n                </span>\n              </p>\n              <p className=\"max-w-2xl\">\n                Estimations bâties sur les rôles d&apos;évaluation foncière du\n                Québec (MAMH, données ouvertes) et 745 119 transactions réelles.\n                Modèle hédonique + comparables ajustés, calcul montré en entier.\n                Estimation statistique à titre indicatif.\n              </p>\n              <FooterNav />\n            </div>\n          </div>\n          <KaFooter\n            siteId=\"vrai-prix\"\n            localLegal={[\n              { label: \"Conditions\", href: \"/conditions\" },\n              { label: \"Confidentialité\", href: \"/confidentialite\" },\n              { label: \"Méthodologie\", href: \"/methodologie\" },\n            ]}\n          />\n          <CookieConsent />\n          <script\n            dangerouslySetInnerHTML={{\n              __html: 'window.KA_AGENT={site:\"vrai-prix\"}',\n            }}\n          />\n          <script src=\"/ka-agent.js\" defer />\n        </LangProvider>\n      </body>\n    </html>\n  );\n}\n","structuredPatch":[{"oldStart":152,"oldLines":11,"newStart":152,"newLines":12,"lines":["               puis le bloc encre final = KaFooter (commun Groupe KA) */}","           <div className=\"mx-auto max-w-6xl px-4 sm:px-6\">","             <div className=\"border-t-2 border-ink pt-7 text-[13px] text-ink-2\">","-              <p className=\"vp-display mb-3 text-[26px] font-bold tracking-[-0.04em] text-ink\">","-                Vrai","-                <span className=\"ml-1 inline-block rotate-[-2deg] rounded-md bg-ink px-[6px] pb-[3px] pt-[1px] text-lime\">","-                  Prix","-                </span>","+              <p className=\"vp-display mb-3 flex items-baseline gap-2 text-[24px] font-bold tracking-[-0.04em] text-ink\">","+                Vrai&nbsp;Prix","+                <span","+                  aria-hidden=\"true\"","+                  className=\"inline-block h-[8px] w-[8px] bg-accent\"","+                />","               </p>","               <p className=\"max-w-2xl\">","                 Estimations bâties sur les rôles d&apos;évaluation foncière du"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"99fdf5a5-dd59-4406-bf8d-03b04dd6cfa2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9dGNPsvnEKcTtvvKfW","type":"message","role":"assistant","content":[{"type":"text","text":"Maintenant HeaderNav (liens texte + menu mobile encre), AccountButton et LangToggle :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1714,"cache_read_input_tokens":142929,"cache_creation":{"ephemeral_5m_input_tokens":1714,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"083335f9-e290-402e-8e82-292d466c72e8","request_id":"req_011CeQ9dEhgWmhiioBaFbruz"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9dGNPsvnEKcTtvvKfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012jn2RHeBb8ZBUywxyWQ6b7","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Navigation d'en-tête. Le menu mobile utilise le motif checkbox + peer-checked :\n * il s'ouvre et se ferme en PUR CSS — fonctionne même sans JavaScript (cache\n * périmé, hydratation cassée, JS bloqué). Le JS n'est qu'une amélioration\n * (fermeture au changement de page, verrou de défilement).\n */\n\"use client\";\nimport { useEffect, useRef } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\nimport GroupeKaBadge from \"../ka/GroupeKaBadge\";\n\nexport default function HeaderNav() {\n  const { lang, setLang } = useLang();\n  const path = usePathname();\n  const fr = lang === \"fr\";\n  const box = useRef<HTMLInputElement>(null);\n\n  // améliorations JS (facultatives) : fermer à la navigation, verrouiller le scroll\n  useEffect(() => {\n    if (box.current) box.current.checked = false;\n    document.body.style.overflow = \"\";\n  }, [path]);\n  const onToggle = () => {\n    document.body.style.overflow = box.current?.checked ? \"hidden\" : \"\";\n  };\n\n  const items = [\n    { href: \"/\", label: fr ? \"Estimer\" : \"Estimate\" },\n    { href: \"/carte\", label: fr ? \"Carte\" : \"Map\" },\n    { href: \"/ka\", label: fr ? \"Ka · agent IA\" : \"Ka · AI agent\" },\n    { href: \"/parc\", label: fr ? \"Parc immobilier\" : \"Portfolio\" },\n    { href: \"/stats\", label: fr ? \"Statistiques\" : \"Statistics\" },\n    { href: \"/methodologie\", label: fr ? \"Méthodologie\" : \"Methodology\" },\n  ];\n  const isActive = (href: string) =>\n    href === \"/\" ? path === \"/\" : path.startsWith(href);\n\n  return (\n    <>\n      {/* nav texte — desktop : soulignement rouge = page courante */}\n      <nav className=\"hidden items-center gap-5 lg:flex\">\n        {items.map((it) => (\n          <Link\n            key={it.href}\n            href={it.href}\n            className={`vp-mono inline-flex min-h-[38px] items-center border-b-2 pt-[2px] text-[11px] font-medium uppercase tracking-[0.1em] transition-colors ${\n              isActive(it.href)\n                ? \"border-accent text-ink\"\n                : \"border-transparent text-ink-2 hover:text-ink\"\n            }`}\n          >\n            {it.label}\n          </Link>\n        ))}\n      </nav>\n\n      {/* ---- menu mobile : checkbox cachée + peer-checked, zéro JS requis ---- */}\n      <div className=\"lg:hidden\">\n        <input\n          ref={box}\n          type=\"checkbox\"\n          id=\"vp-menu\"\n          className=\"peer sr-only\"\n          onChange={onToggle}\n          aria-label=\"Menu\"\n        />\n        {/* hamburger (label = bouton) */}\n        <label\n          htmlFor=\"vp-menu\"\n          aria-hidden=\"true\"\n          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px]\"\n        >\n          <span className=\"h-px w-[20px] bg-ink\" />\n          <span className=\"h-px w-[20px] bg-ink\" />\n          <span className=\"h-px w-[12px] self-center ml-[8px] bg-accent\" />\n        </label>\n\n        {/* panneau plein écran encre — sibling du checkbox, affiché via peer-checked */}\n        <div\n          className=\"vp-dark fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"\n          role=\"dialog\"\n          aria-modal=\"true\"\n          aria-label=\"Menu\"\n        >\n          {/* barre du haut : marque + fermer */}\n          <div className=\"flex h-14 shrink-0 items-center justify-between border-b border-[rgba(245,243,238,0.18)] px-4\">\n            <Link\n              href=\"/\"\n              className=\"vp-display flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] text-[var(--paper-on-ink)]\"\n            >\n              Vrai&nbsp;Prix\n              <span\n                aria-hidden=\"true\"\n                className=\"inline-block h-[7px] w-[7px] bg-[var(--accent-bright)]\"\n              />\n            </Link>\n            <label\n              htmlFor=\"vp-menu\"\n              aria-label={fr ? \"Fermer le menu\" : \"Close menu\"}\n              className=\"vp-mono flex h-11 w-11 cursor-pointer items-center justify-center text-[15px] text-[var(--paper-on-ink)]\"\n            >\n              ✕\n            </label>\n          </div>\n\n          {/* liens géants */}\n          <nav className=\"flex flex-1 flex-col justify-center px-6 py-8\">\n            {items.map((it, i) => (\n              <Link\n                key={it.href}\n                href={it.href}\n                className=\"group flex items-baseline gap-4 border-b border-[rgba(245,243,238,0.12)] py-[18px] last:border-0\"\n              >\n                <span className=\"vp-mono text-[11px] font-medium text-[var(--accent-bright)]\">\n                  0{i + 1}\n                </span>\n                <span\n                  className={`vp-display text-[28px] font-bold uppercase leading-none tracking-[-0.03em] ${\n                    isActive(it.href)\n                      ? \"text-[var(--accent-bright)]\"\n                      : \"text-[var(--paper-on-ink)] group-active:text-[var(--accent-bright)]\"\n                  }`}\n                >\n                  {it.label}\n                </span>\n                {isActive(it.href) && (\n                  <span\n                    aria-hidden=\"true\"\n                    className=\"mb-[2px] inline-block h-[6px] w-[6px] self-center bg-[var(--accent-bright)]\"\n                  />\n                )}\n              </Link>\n            ))}\n          </nav>\n\n          {/* pied du menu */}\n          <div className=\"shrink-0 border-t border-[rgba(245,243,238,0.18)] px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">\n            {/* entrée « Un service Groupe KA » du menu mobile */}\n            <div className=\"mb-4\">\n              <GroupeKaBadge />\n            </div>\n            <button\n              onClick={() => setLang(fr ? \"en\" : \"fr\")}\n              className=\"vp-mono mb-4 border-b border-[var(--paper-on-ink)] pb-1 text-[12px] font-medium uppercase tracking-[0.1em] text-[var(--paper-on-ink)]\"\n            >\n              {fr ? \"English version\" : \"Version française\"}\n            </button>\n            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-[rgba(245,243,238,0.55)]\">\n              <Link href=\"/conditions\">{fr ? \"Conditions\" : \"Terms\"}</Link>\n              <Link href=\"/confidentialite\">\n                {fr ? \"Confidentialité\" : \"Privacy\"}\n              </Link>\n              <Link href=\"/contact\">Contact</Link>\n            </div>\n          </div>\n        </div>\n      </div>\n    </>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1714,"cache_read_input_tokens":142929,"cache_creation":{"ephemeral_5m_input_tokens":1714,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"12983ace-d086-40d8-bbf6-4104a2f6e083","request_id":"req_011CeQ9dEhgWmhiioBaFbruz"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012jn2RHeBb8ZBUywxyWQ6b7","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"492c157c-80ec-435f-8fff-bbce8b1e3131","timestamp":"2026-08-25T21:08:10.642Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/HeaderNav.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Navigation d'en-tête. Le menu mobile utilise le motif checkbox + peer-checked :\n * il s'ouvre et se ferme en PUR CSS — fonctionne même sans JavaScript (cache\n * périmé, hydratation cassée, JS bloqué). Le JS n'est qu'une amélioration\n * (fermeture au changement de page, verrou de défilement).\n */\n\"use client\";\nimport { useEffect, useRef } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\nimport GroupeKaBadge from \"../ka/GroupeKaBadge\";\n\nexport default function HeaderNav() {\n  const { lang, setLang } = useLang();\n  const path = usePathname();\n  const fr = lang === \"fr\";\n  const box = useRef<HTMLInputElement>(null);\n\n  // améliorations JS (facultatives) : fermer à la navigation, verrouiller le scroll\n  useEffect(() => {\n    if (box.current) box.current.checked = false;\n    document.body.style.overflow = \"\";\n  }, [path]);\n  const onToggle = () => {\n    document.body.style.overflow = box.current?.checked ? \"hidden\" : \"\";\n  };\n\n  const items = [\n    { href: \"/\", label: fr ? \"Estimer\" : \"Estimate\" },\n    { href: \"/carte\", label: fr ? \"Carte\" : \"Map\" },\n    { href: \"/ka\", label: fr ? \"Ka · agent IA\" : \"Ka · AI agent\" },\n    { href: \"/parc\", label: fr ? \"Parc immobilier\" : \"Portfolio\" },\n    { href: \"/stats\", label: fr ? \"Statistiques\" : \"Statistics\" },\n    { href: \"/methodologie\", label: fr ? \"Méthodologie\" : \"Methodology\" },\n  ];\n  const isActive = (href: string) =>\n    href === \"/\" ? path === \"/\" : path.startsWith(href);\n\n  return (\n    <>\n      {/* nav texte — desktop : soulignement rouge = page courante */}\n      <nav className=\"hidden items-center gap-5 lg:flex\">\n        {items.map((it) => (\n          <Link\n            key={it.href}\n            href={it.href}\n            className={`vp-mono inline-flex min-h-[38px] items-center border-b-2 pt-[2px] text-[11px] font-medium uppercase tracking-[0.1em] transition-colors ${\n              isActive(it.href)\n                ? \"border-accent text-ink\"\n                : \"border-transparent text-ink-2 hover:text-ink\"\n            }`}\n          >\n            {it.label}\n          </Link>\n        ))}\n      </nav>\n\n      {/* ---- menu mobile : checkbox cachée + peer-checked, zéro JS requis ---- */}\n      <div className=\"lg:hidden\">\n        <input\n          ref={box}\n          type=\"checkbox\"\n          id=\"vp-menu\"\n          className=\"peer sr-only\"\n          onChange={onToggle}\n          aria-label=\"Menu\"\n        />\n        {/* hamburger (label = bouton) */}\n        <label\n          htmlFor=\"vp-menu\"\n          aria-hidden=\"true\"\n          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px]\"\n        >\n          <span className=\"h-px w-[20px] bg-ink\" />\n          <span className=\"h-px w-[20px] bg-ink\" />\n          <span className=\"h-px w-[12px] self-center ml-[8px] bg-accent\" />\n        </label>\n\n        {/* panneau plein écran encre — sibling du checkbox, affiché via peer-checked */}\n        <div\n          className=\"vp-dark fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"\n          role=\"dialog\"\n          aria-modal=\"true\"\n          aria-label=\"Menu\"\n        >\n          {/* barre du haut : marque + fermer */}\n          <div className=\"flex h-14 shrink-0 items-center justify-between border-b border-[rgba(245,243,238,0.18)] px-4\">\n            <Link\n              href=\"/\"\n              className=\"vp-display flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] text-[var(--paper-on-ink)]\"\n            >\n              Vrai&nbsp;Prix\n              <span\n                aria-hidden=\"true\"\n                className=\"inline-block h-[7px] w-[7px] bg-[var(--accent-bright)]\"\n              />\n            </Link>\n            <label\n              htmlFor=\"vp-menu\"\n              aria-label={fr ? \"Fermer le menu\" : \"Close menu\"}\n              className=\"vp-mono flex h-11 w-11 cursor-pointer items-center justify-center text-[15px] text-[var(--paper-on-ink)]\"\n            >\n              ✕\n            </label>\n          </div>\n\n          {/* liens géants */}\n          <nav className=\"flex flex-1 flex-col justify-center px-6 py-8\">\n            {items.map((it, i) => (\n              <Link\n                key={it.href}\n                href={it.href}\n                className=\"group flex items-baseline gap-4 border-b border-[rgba(245,243,238,0.12)] py-[18px] last:border-0\"\n              >\n                <span className=\"vp-mono text-[11px] font-medium text-[var(--accent-bright)]\">\n                  0{i + 1}\n                </span>\n                <span\n                  className={`vp-display text-[28px] font-bold uppercase leading-none tracking-[-0.03em] ${\n                    isActive(it.href)\n                      ? \"text-[var(--accent-bright)]\"\n                      : \"text-[var(--paper-on-ink)] group-active:text-[var(--accent-bright)]\"\n                  }`}\n                >\n                  {it.label}\n                </span>\n                {isActive(it.href) && (\n                  <span\n                    aria-hidden=\"true\"\n                    className=\"mb-[2px] inline-block h-[6px] w-[6px] self-center bg-[var(--accent-bright)]\"\n                  />\n                )}\n              </Link>\n            ))}\n          </nav>\n\n          {/* pied du menu */}\n          <div className=\"shrink-0 border-t border-[rgba(245,243,238,0.18)] px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">\n            {/* entrée « Un service Groupe KA » du menu mobile */}\n            <div className=\"mb-4\">\n              <GroupeKaBadge />\n            </div>\n            <button\n              onClick={() => setLang(fr ? \"en\" : \"fr\")}\n              className=\"vp-mono mb-4 border-b border-[var(--paper-on-ink)] pb-1 text-[12px] font-medium uppercase tracking-[0.1em] text-[var(--paper-on-ink)]\"\n            >\n              {fr ? \"English version\" : \"Version française\"}\n            </button>\n            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-[rgba(245,243,238,0.55)]\">\n              <Link href=\"/conditions\">{fr ? \"Conditions\" : \"Terms\"}</Link>\n              <Link href=\"/confidentialite\">\n                {fr ? \"Confidentialité\" : \"Privacy\"}\n              </Link>\n              <Link href=\"/contact\">Contact</Link>\n            </div>\n          </div>\n        </div>\n      </div>\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":40,"oldLines":16,"newStart":40,"newLines":16,"lines":[" ","   return (","     <>","-      {/* nav pilule — desktop */}","-      <nav className=\"hidden items-center gap-1 lg:flex\">","+      {/* nav texte — desktop : soulignement rouge = page courante */}","+      <nav className=\"hidden items-center gap-5 lg:flex\">","         {items.map((it) => (","           <Link","             key={it.href}","             href={it.href}","-            className={`vp-display inline-flex min-h-[38px] items-center rounded-full border-[1.5px] px-3.5 py-1.5 text-[13.5px] font-bold transition-all ${","+            className={`vp-mono inline-flex min-h-[38px] items-center border-b-2 pt-[2px] text-[11px] font-medium uppercase tracking-[0.1em] transition-colors ${","               isActive(it.href)","-                ? \"border-ink bg-ink text-lime\"","-                : \"border-transparent text-ink-2 hover:border-ink hover:text-ink\"","+                ? \"border-accent text-ink\"","+                : \"border-transparent text-ink-2 hover:text-ink\"","             }`}","           >","             {it.label}"]},{"oldStart":71,"oldLines":39,"newStart":71,"newLines":36,"lines":["         <label","           htmlFor=\"vp-menu\"","           aria-hidden=\"true\"","-          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px] rounded-full border-[1.5px] border-ink bg-surface active:bg-lime-soft\"","+          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px]\"","         >","-          <span className=\"h-[2px] w-[18px] bg-ink\" />","-          <span className=\"h-[2px] w-[18px] bg-ink\" />","-          <span className=\"h-[2px] w-[18px] bg-ink\" />","+          <span className=\"h-px w-[20px] bg-ink\" />","+          <span className=\"h-px w-[20px] bg-ink\" />","+          <span className=\"h-px w-[12px] self-center ml-[8px] bg-accent\" />","         </label>"," ","-        {/* panneau plein écran — sibling du checkbox, affiché via peer-checked */}","+        {/* panneau plein écran encre — sibling du checkbox, affiché via peer-checked */}","         <div","-          className=\"fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"","-          style={{ background: \"var(--paper)\" }}","+          className=\"vp-dark fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"","           role=\"dialog\"","           aria-modal=\"true\"","           aria-label=\"Menu\"","         >","           {/* barre du haut : marque + fermer */}","-          <div","-            className=\"flex h-16 shrink-0 items-center justify-between border-b-2 border-ink px-4\"","-            style={{ background: \"var(--paper)\" }}","-          >","+          <div className=\"flex h-14 shrink-0 items-center justify-between border-b border-[rgba(245,243,238,0.18)] px-4\">","             <Link","               href=\"/\"","-              className=\"vp-display flex items-center text-[22px] font-bold leading-none tracking-[-0.04em]\"","+              className=\"vp-display flex items-baseline gap-1.5 text-[19px] font-bold leading-none tracking-[-0.04em] text-[var(--paper-on-ink)]\"","             >","-              Vrai","-              <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime\">","-                Prix","-              </span>","+              Vrai&nbsp;Prix","+              <span","+                aria-hidden=\"true\"","+                className=\"inline-block h-[7px] w-[7px] bg-[var(--accent-bright)]\"","+              />","             </Link>","             <label","               htmlFor=\"vp-menu\"","               aria-label={fr ? \"Fermer le menu\" : \"Close menu\"}","-              className=\"vp-display flex h-11 w-11 cursor-pointer items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[17px] font-bold text-lime\"","+              className=\"vp-mono flex h-11 w-11 cursor-pointer items-center justify-center text-[15px] text-[var(--paper-on-ink)]\"","             >","               ✕","             </label>"]},{"oldStart":115,"oldLines":37,"newStart":112,"newLines":43,"lines":["               <Link","                 key={it.href}","                 href={it.href}","-                className=\"group flex items-baseline gap-4 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.18)] py-5 last:border-0\"","+                className=\"group flex items-baseline gap-4 border-b border-[rgba(245,243,238,0.12)] py-[18px] last:border-0\"","               >","-                <span className=\"vp-mono text-[12px] font-bold text-green\">","+                <span className=\"vp-mono text-[11px] font-medium text-[var(--accent-bright)]\">","                   0{i + 1}","                 </span>","                 <span","-                  className={`vp-display text-[29px] font-bold uppercase leading-none tracking-[-0.03em] ${","+                  className={`vp-display text-[28px] font-bold uppercase leading-none tracking-[-0.03em] ${","                     isActive(it.href)","-                      ? \"rounded-md bg-ink px-2.5 py-1 text-lime\"","-                      : \"text-ink group-active:text-green-deep\"","+                      ? \"text-[var(--accent-bright)]\"","+                      : \"text-[var(--paper-on-ink)] group-active:text-[var(--accent-bright)]\"","                   }`}","                 >","                   {it.label}","                 </span>","+                {isActive(it.href) && (","+                  <span","+                    aria-hidden=\"true\"","+                    className=\"mb-[2px] inline-block h-[6px] w-[6px] self-center bg-[var(--accent-bright)]\"","+                  />","+                )}","               </Link>","             ))}","           </nav>"," ","           {/* pied du menu */}","-          <div className=\"shrink-0 border-t-2 border-ink px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">","+          <div className=\"shrink-0 border-t border-[rgba(245,243,238,0.18)] px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">","             {/* entrée « Un service Groupe KA » du menu mobile */}","-            <div className=\"mb-3\">","+            <div className=\"mb-4\">","               <GroupeKaBadge />","             </div>","             <button","               onClick={() => setLang(fr ? \"en\" : \"fr\")}","-              className=\"vp-mono mb-3 rounded-full border-[1.5px] border-ink bg-surface px-4 py-2 text-[12px] font-bold uppercase tracking-[0.08em]\"","+              className=\"vp-mono mb-4 border-b border-[var(--paper-on-ink)] pb-1 text-[12px] font-medium uppercase tracking-[0.1em] text-[var(--paper-on-ink)]\"","             >","               {fr ? \"English version\" : \"Version française\"}","             </button>","-            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">","+            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-[rgba(245,243,238,0.55)]\">","               <Link href=\"/conditions\">{fr ? \"Conditions\" : \"Terms\"}</Link>","               <Link href=\"/confidentialite\">","                 {fr ? \"Confidentialité\" : \"Privacy\"}"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Navigation d'en-tête. Le menu mobile utilise le motif checkbox + peer-checked :\n * il s'ouvre et se ferme en PUR CSS — fonctionne même sans JavaScript (cache\n * périmé, hydratation cassée, JS bloqué). Le JS n'est qu'une amélioration\n * (fermeture au changement de page, verrou de défilement).\n */\n\"use client\";\nimport { useEffect, useRef } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\nimport GroupeKaBadge from \"../ka/GroupeKaBadge\";\n\nexport default function HeaderNav() {\n  const { lang, setLang } = useLang();\n  const path = usePathname();\n  const fr = lang === \"fr\";\n  const box = useRef<HTMLInputElement>(null);\n\n  // améliorations JS (facultatives) : fermer à la navigation, verrouiller le scroll\n  useEffect(() => {\n    if (box.current) box.current.checked = false;\n    document.body.style.overflow = \"\";\n  }, [path]);\n  const onToggle = () => {\n    document.body.style.overflow = box.current?.checked ? \"hidden\" : \"\";\n  };\n\n  const items = [\n    { href: \"/\", label: fr ? \"Estimer\" : \"Estimate\" },\n    { href: \"/carte\", label: fr ? \"Carte\" : \"Map\" },\n    { href: \"/ka\", label: fr ? \"Ka · agent IA\" : \"Ka · AI agent\" },\n    { href: \"/parc\", label: fr ? \"Parc immobilier\" : \"Portfolio\" },\n    { href: \"/stats\", label: fr ? \"Statistiques\" : \"Statistics\" },\n    { href: \"/methodologie\", label: fr ? \"Méthodologie\" : \"Methodology\" },\n  ];\n  const isActive = (href: string) =>\n    href === \"/\" ? path === \"/\" : path.startsWith(href);\n\n  return (\n    <>\n      {/* nav pilule — desktop */}\n      <nav className=\"hidden items-center gap-1 lg:flex\">\n        {items.map((it) => (\n          <Link\n            key={it.href}\n            href={it.href}\n            className={`vp-display inline-flex min-h-[38px] items-center rounded-full border-[1.5px] px-3.5 py-1.5 text-[13.5px] font-bold transition-all ${\n              isActive(it.href)\n                ? \"border-ink bg-ink text-lime\"\n                : \"border-transparent text-ink-2 hover:border-ink hover:text-ink\"\n            }`}\n          >\n            {it.label}\n          </Link>\n        ))}\n      </nav>\n\n      {/* ---- menu mobile : checkbox cachée + peer-checked, zéro JS requis ---- */}\n      <div className=\"lg:hidden\">\n        <input\n          ref={box}\n          type=\"checkbox\"\n          id=\"vp-menu\"\n          className=\"peer sr-only\"\n          onChange={onToggle}\n          aria-label=\"Menu\"\n        />\n        {/* hamburger (label = bouton) */}\n        <label\n          htmlFor=\"vp-menu\"\n          aria-hidden=\"true\"\n          className=\"flex h-11 w-11 cursor-pointer flex-col items-center justify-center gap-[5px] rounded-full border-[1.5px] border-ink bg-surface active:bg-lime-soft\"\n        >\n          <span className=\"h-[2px] w-[18px] bg-ink\" />\n          <span className=\"h-[2px] w-[18px] bg-ink\" />\n          <span className=\"h-[2px] w-[18px] bg-ink\" />\n        </label>\n\n        {/* panneau plein écran — sibling du checkbox, affiché via peer-checked */}\n        <div\n          className=\"fixed inset-0 z-[var(--z-modal,900)] hidden flex-col overflow-y-auto peer-checked:flex\"\n          style={{ background: \"var(--paper)\" }}\n          role=\"dialog\"\n          aria-modal=\"true\"\n          aria-label=\"Menu\"\n        >\n          {/* barre du haut : marque + fermer */}\n          <div\n            className=\"flex h-16 shrink-0 items-center justify-between border-b-2 border-ink px-4\"\n            style={{ background: \"var(--paper)\" }}\n          >\n            <Link\n              href=\"/\"\n              className=\"vp-display flex items-center text-[22px] font-bold leading-none tracking-[-0.04em]\"\n            >\n              Vrai\n              <span className=\"ml-1 rotate-[-2deg] rounded-md bg-ink px-[7px] pb-1 pt-[2px] text-lime\">\n                Prix\n              </span>\n            </Link>\n            <label\n              htmlFor=\"vp-menu\"\n              aria-label={fr ? \"Fermer le menu\" : \"Close menu\"}\n              className=\"vp-display flex h-11 w-11 cursor-pointer items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[17px] font-bold text-lime\"\n            >\n              ✕\n            </label>\n          </div>\n\n          {/* liens géants */}\n          <nav className=\"flex flex-1 flex-col justify-center px-6 py-8\">\n            {items.map((it, i) => (\n              <Link\n                key={it.href}\n                href={it.href}\n                className=\"group flex items-baseline gap-4 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.18)] py-5 last:border-0\"\n              >\n                <span className=\"vp-mono text-[12px] font-bold text-green\">\n                  0{i + 1}\n                </span>\n                <span\n                  className={`vp-display text-[29px] font-bold uppercase leading-none tracking-[-0.03em] ${\n                    isActive(it.href)\n                      ? \"rounded-md bg-ink px-2.5 py-1 text-lime\"\n                      : \"text-ink group-active:text-green-deep\"\n                  }`}\n                >\n                  {it.label}\n                </span>\n              </Link>\n            ))}\n          </nav>\n\n          {/* pied du menu */}\n          <div className=\"shrink-0 border-t-2 border-ink px-6 pb-[max(20px,env(safe-area-inset-bottom))] pt-4\">\n            {/* entrée « Un service Groupe KA » du menu mobile */}\n            <div className=\"mb-3\">\n              <GroupeKaBadge />\n            </div>\n            <button\n              onClick={() => setLang(fr ? \"en\" : \"fr\")}\n              className=\"vp-mono mb-3 rounded-full border-[1.5px] border-ink bg-surface px-4 py-2 text-[12px] font-bold uppercase tracking-[0.08em]\"\n            >\n              {fr ? \"English version\" : \"Version française\"}\n            </button>\n            <div className=\"vp-mono flex flex-wrap gap-x-5 gap-y-1.5 text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n              <Link href=\"/conditions\">{fr ? \"Conditions\" : \"Terms\"}</Link>\n              <Link href=\"/confidentialite\">\n                {fr ? \"Confidentialité\" : \"Privacy\"}\n              </Link>\n              <Link href=\"/contact\">Contact</Link>\n            </div>\n          </div>\n        </div>\n      </div>\n    </>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9dGNPsvnEKcTtvvKfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J6pG4bF9K6AqrQPtPTJZ85","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx","old_string":"  if (user === undefined) {\n    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n  }\n\n  if (user === null) {\n    return (\n      <a\n        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-full border-[1.5px] border-ink bg-ink px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-lime transition-all hover:bg-green-deep\"\n        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n      >\n        KA&nbsp;ID\n      </a>\n    );\n  }\n\n  const prenom = (user.name || user.email).split(\" \")[0];\n  return (\n    <Link\n      href=\"/compte\"\n      className=\"group inline-flex min-h-[36px] items-center gap-2 rounded-full border-[1.5px] border-ink bg-surface py-1 pl-1 pr-3 transition-all hover:bg-lime-soft\"\n      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n    >\n      {user.picture ? (\n        // eslint-disable-next-line @next/next/no-img-element\n        <img\n          src={user.picture}\n          alt=\"\"\n          referrerPolicy=\"no-referrer\"\n          className=\"h-7 w-7 rounded-full border border-ink object-cover\"\n        />\n      ) : (\n        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-lime\">\n          {prenom.charAt(0).toUpperCase()}\n        </span>\n      )}\n      <span className=\"vp-display max-w-[92px] truncate text-[13px] font-bold text-ink\">\n        {prenom}\n      </span>\n    </Link>\n  );","new_string":"  if (user === undefined) {\n    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n  }\n\n  if (user === null) {\n    return (\n      <a\n        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-[2px] bg-ink px-3.5 py-1.5 text-[11px] font-medium uppercase tracking-[0.1em] text-paper transition-colors hover:bg-accent\"\n        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n      >\n        KA&nbsp;ID\n      </a>\n    );\n  }\n\n  const prenom = (user.name || user.email).split(\" \")[0];\n  return (\n    <Link\n      href=\"/compte\"\n      className=\"group inline-flex min-h-[36px] items-center gap-2 py-1\"\n      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n    >\n      {user.picture ? (\n        // eslint-disable-next-line @next/next/no-img-element\n        <img\n          src={user.picture}\n          alt=\"\"\n          referrerPolicy=\"no-referrer\"\n          className=\"h-7 w-7 rounded-full object-cover grayscale transition-[filter] group-hover:grayscale-0\"\n        />\n      ) : (\n        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-paper\">\n          {prenom.charAt(0).toUpperCase()}\n        </span>\n      )}\n      <span className=\"vp-display max-w-[92px] truncate border-b-2 border-transparent text-[13px] font-bold text-ink group-hover:border-accent\">\n        {prenom}\n      </span>\n    </Link>\n  );"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1714,"cache_read_input_tokens":142929,"cache_creation":{"ephemeral_5m_input_tokens":1714,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"874d12f0-1094-4751-8364-3723bb8251c5","request_id":"req_011CeQ9dEhgWmhiioBaFbruz"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J6pG4bF9K6AqrQPtPTJZ85","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f0992d91-8e40-4863-aa71-802ba5782878","timestamp":"2026-08-25T21:08:21.925Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/AccountButton.tsx","oldString":"  if (user === undefined) {\n    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n  }\n\n  if (user === null) {\n    return (\n      <a\n        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-full border-[1.5px] border-ink bg-ink px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-lime transition-all hover:bg-green-deep\"\n        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n      >\n        KA&nbsp;ID\n      </a>\n    );\n  }\n\n  const prenom = (user.name || user.email).split(\" \")[0];\n  return (\n    <Link\n      href=\"/compte\"\n      className=\"group inline-flex min-h-[36px] items-center gap-2 rounded-full border-[1.5px] border-ink bg-surface py-1 pl-1 pr-3 transition-all hover:bg-lime-soft\"\n      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n    >\n      {user.picture ? (\n        // eslint-disable-next-line @next/next/no-img-element\n        <img\n          src={user.picture}\n          alt=\"\"\n          referrerPolicy=\"no-referrer\"\n          className=\"h-7 w-7 rounded-full border border-ink object-cover\"\n        />\n      ) : (\n        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-lime\">\n          {prenom.charAt(0).toUpperCase()}\n        </span>\n      )}\n      <span className=\"vp-display max-w-[92px] truncate text-[13px] font-bold text-ink\">\n        {prenom}\n      </span>\n    </Link>\n  );","newString":"  if (user === undefined) {\n    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n  }\n\n  if (user === null) {\n    return (\n      <a\n        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-[2px] bg-ink px-3.5 py-1.5 text-[11px] font-medium uppercase tracking-[0.1em] text-paper transition-colors hover:bg-accent\"\n        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n      >\n        KA&nbsp;ID\n      </a>\n    );\n  }\n\n  const prenom = (user.name || user.email).split(\" \")[0];\n  return (\n    <Link\n      href=\"/compte\"\n      className=\"group inline-flex min-h-[36px] items-center gap-2 py-1\"\n      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n    >\n      {user.picture ? (\n        // eslint-disable-next-line @next/next/no-img-element\n        <img\n          src={user.picture}\n          alt=\"\"\n          referrerPolicy=\"no-referrer\"\n          className=\"h-7 w-7 rounded-full object-cover grayscale transition-[filter] group-hover:grayscale-0\"\n        />\n      ) : (\n        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-paper\">\n          {prenom.charAt(0).toUpperCase()}\n        </span>\n      )}\n      <span className=\"vp-display max-w-[92px] truncate border-b-2 border-transparent text-[13px] font-bold text-ink group-hover:border-accent\">\n        {prenom}\n      </span>\n    </Link>\n  );","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Bouton compte de l'en-tête (KA ID — SSO du Groupe KA).\n *   · Déconnecté : pilule « KA ID » → /api/auth/ka/login?next=<page courante>\n *   · Connecté   : avatar (ou initiale) + prénom → /compte\n * Composant client : interroge /api/auth/me au montage (session cookie httpOnly).\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\nimport Link from \"next/link\";\nimport { usePathname } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\ntype MeUser = {\n  ka_id: string;\n  email: string;\n  name: string;\n  picture: string;\n  provider: string;\n};\n\nexport default function AccountButton() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const path = usePathname();\n  // undefined = chargement (on ne montre rien pour éviter le clignotement)\n  const [user, setUser] = useState<MeUser | null | undefined>(undefined);\n\n  useEffect(() => {\n    let alive = true;\n    fetch(\"/api/auth/me\")\n      .then((r) => r.json())\n      .then((d) => alive && setUser(d?.user ?? null))\n      .catch(() => alive && setUser(null));\n    return () => {\n      alive = false;\n    };\n  }, [path]);\n\n  if (user === undefined) {\n    return <span className=\"min-h-[36px] w-[52px]\" aria-hidden=\"true\" />;\n  }\n\n  if (user === null) {\n    return (\n      <a\n        href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}\n        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-full border-[1.5px] border-ink bg-ink px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-lime transition-all hover:bg-green-deep\"\n        title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}\n      >\n        KA&nbsp;ID\n      </a>\n    );\n  }\n\n  const prenom = (user.name || user.email).split(\" \")[0];\n  return (\n    <Link\n      href=\"/compte\"\n      className=\"group inline-flex min-h-[36px] items-center gap-2 rounded-full border-[1.5px] border-ink bg-surface py-1 pl-1 pr-3 transition-all hover:bg-lime-soft\"\n      title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}\n    >\n      {user.picture ? (\n        // eslint-disable-next-line @next/next/no-img-element\n        <img\n          src={user.picture}\n          alt=\"\"\n          referrerPolicy=\"no-referrer\"\n          className=\"h-7 w-7 rounded-full border border-ink object-cover\"\n        />\n      ) : (\n        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-lime\">\n          {prenom.charAt(0).toUpperCase()}\n        </span>\n      )}\n      <span className=\"vp-display max-w-[92px] truncate text-[13px] font-bold text-ink\">\n        {prenom}\n      </span>\n    </Link>\n  );\n}\n","structuredPatch":[{"oldStart":45,"oldLines":7,"newStart":45,"newLines":7,"lines":["     return (","       <a","         href={`/api/auth/ka/login?next=${encodeURIComponent(path || \"/\")}`}","-        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-full border-[1.5px] border-ink bg-ink px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-lime transition-all hover:bg-green-deep\"","+        className=\"vp-mono inline-flex min-h-[36px] items-center rounded-[2px] bg-ink px-3.5 py-1.5 text-[11px] font-medium uppercase tracking-[0.1em] text-paper transition-colors hover:bg-accent\"","         title={fr ? \"Se connecter avec KA ID\" : \"Sign in with KA ID\"}","       >","         KA&nbsp;ID"]},{"oldStart":57,"oldLines":7,"newStart":57,"newLines":7,"lines":["   return (","     <Link","       href=\"/compte\"","-      className=\"group inline-flex min-h-[36px] items-center gap-2 rounded-full border-[1.5px] border-ink bg-surface py-1 pl-1 pr-3 transition-all hover:bg-lime-soft\"","+      className=\"group inline-flex min-h-[36px] items-center gap-2 py-1\"","       title={fr ? \"Mon compte — carte de membre Groupe KA\" : \"My account — Groupe KA member card\"}","     >","       {user.picture ? ("]},{"oldStart":66,"oldLines":14,"newStart":66,"newLines":14,"lines":["           src={user.picture}","           alt=\"\"","           referrerPolicy=\"no-referrer\"","-          className=\"h-7 w-7 rounded-full border border-ink object-cover\"","+          className=\"h-7 w-7 rounded-full object-cover grayscale transition-[filter] group-hover:grayscale-0\"","         />","       ) : (","-        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-lime\">","+        <span className=\"vp-display flex h-7 w-7 items-center justify-center rounded-full bg-ink text-[13px] font-bold text-paper\">","           {prenom.charAt(0).toUpperCase()}","         </span>","       )}","-      <span className=\"vp-display max-w-[92px] truncate text-[13px] font-bold text-ink\">","+      <span className=\"vp-display max-w-[92px] truncate border-b-2 border-transparent text-[13px] font-bold text-ink group-hover:border-accent\">","         {prenom}","       </span>","     </Link>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9dGNPsvnEKcTtvvKfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VHfx33Tx5nfPwc27Vnr241","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx","old_string":"      className=\"vp-mono min-h-[36px] rounded-full border-[1.5px] border-ink bg-surface px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-ink transition-all hover:bg-ink hover:text-lime\"","new_string":"      className=\"vp-mono min-h-[36px] border-b-2 border-transparent px-1 py-1.5 text-[11px] font-medium uppercase tracking-[0.1em] text-ink-2 transition-colors hover:border-accent hover:text-ink\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1714,"cache_read_input_tokens":142929,"cache_creation":{"ephemeral_5m_input_tokens":1714,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b2181de6-7e34-44c9-8e9f-9ef564e6aa59","request_id":"req_011CeQ9dEhgWmhiioBaFbruz"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VHfx33Tx5nfPwc27Vnr241","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6c223da4-36b1-405c-9ff8-b17fbf787879","timestamp":"2026-08-25T21:08:24.282Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LangContext.tsx","oldString":"      className=\"vp-mono min-h-[36px] rounded-full border-[1.5px] border-ink bg-surface px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-ink transition-all hover:bg-ink hover:text-lime\"","newString":"      className=\"vp-mono min-h-[36px] border-b-2 border-transparent px-1 py-1.5 text-[11px] font-medium uppercase tracking-[0.1em] text-ink-2 transition-colors hover:border-accent hover:text-ink\"","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { createContext, useContext, useEffect, useState } from \"react\";\nimport { t as translate, type Lang, type TKey } from \"@/lib/i18n\";\n\nconst Ctx = createContext<{\n  lang: Lang;\n  setLang: (l: Lang) => void;\n  t: (k: TKey) => string;\n}>({ lang: \"fr\", setLang: () => {}, t: (k) => translate(\"fr\", k) });\n\nexport function LangProvider({ children }: { children: React.ReactNode }) {\n  const [lang, setLangState] = useState<Lang>(\"fr\");\n  useEffect(() => {\n    const saved = window.localStorage.getItem(\"vp-lang\");\n    if (saved !== \"en\" && saved !== \"fr\") return;\n    const id = setTimeout(() => setLangState(saved), 0);\n    return () => clearTimeout(id);\n  }, []);\n  const setLang = (l: Lang) => {\n    setLangState(l);\n    window.localStorage.setItem(\"vp-lang\", l);\n  };\n  return (\n    <Ctx.Provider value={{ lang, setLang, t: (k) => translate(lang, k) }}>\n      {children}\n    </Ctx.Provider>\n  );\n}\n\nexport function useLang() {\n  return useContext(Ctx);\n}\n\nexport function LangToggle() {\n  const { lang, setLang } = useLang();\n  return (\n    <button\n      onClick={() => setLang(lang === \"fr\" ? \"en\" : \"fr\")}\n      className=\"vp-mono min-h-[36px] rounded-full border-[1.5px] border-ink bg-surface px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-ink transition-all hover:bg-ink hover:text-lime\"\n      aria-label=\"Changer de langue / Switch language\"\n    >\n      {lang === \"fr\" ? \"EN\" : \"FR\"}\n    </button>\n  );\n}\n","structuredPatch":[{"oldStart":37,"oldLines":7,"newStart":37,"newLines":7,"lines":["   return (","     <button","       onClick={() => setLang(lang === \"fr\" ? \"en\" : \"fr\")}","-      className=\"vp-mono min-h-[36px] rounded-full border-[1.5px] border-ink bg-surface px-4 py-1.5 text-[12px] font-bold uppercase tracking-[0.08em] text-ink transition-all hover:bg-ink hover:text-lime\"","+      className=\"vp-mono min-h-[36px] border-b-2 border-transparent px-1 py-1.5 text-[11px] font-medium uppercase tracking-[0.1em] text-ink-2 transition-colors hover:border-accent hover:text-ink\"","       aria-label=\"Changer de langue / Switch language\"","     >","       {lang === \"fr\" ? \"EN\" : \"FR\"}"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"960346a3-61cb-4f46-b9af-97a996f49e41","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"1163c681-d067-4189-a005-57337f347a18","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"000bbe55-b403-493a-b264-e05d60c26709","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"a437d675-d935-45bc-9e56-d5049b7e7f7b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"e3c16dcc-dbb8-4066-9089-1c945defc3ac","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9gFxB1JN39PeWhkNS5","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4787,"cache_read_input_tokens":144643,"cache_creation":{"ephemeral_5m_input_tokens":4787,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"643ea987-00a5-4e2a-a0b8-2fd9ab65add3","request_id":"req_011CeQ9gET8vufg3mAsJXkMJ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9gFxB1JN39PeWhkNS5","type":"message","role":"assistant","content":[{"type":"text","text":"Task 2 terminé. Task 3 : la recherche comme action centrale — variante héro grand format avec CTA rouge."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4787,"cache_read_input_tokens":144643,"cache_creation":{"ephemeral_5m_input_tokens":4787,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bf7d235d-76c3-43ee-81a1-8035206921cd","request_id":"req_011CeQ9gET8vufg3mAsJXkMJ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9gFxB1JN39PeWhkNS5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PE2zBt6qvgeopVrbdyM9Yd","name":"TaskUpdate","input":{"taskId":"2","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4787,"cache_read_input_tokens":144643,"cache_creation":{"ephemeral_5m_input_tokens":4787,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0b42784d-db73-445c-9b50-909253c4c62e","request_id":"req_011CeQ9gET8vufg3mAsJXkMJ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PE2zBt6qvgeopVrbdyM9Yd","type":"tool_result","content":"Updated task #2 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"71fc65de-ab9a-48b9-b559-03435fe4a140","timestamp":"2026-08-25T21:08:35.929Z","tool_use_result":{"success":true,"taskId":"2","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9gFxB1JN39PeWhkNS5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VVDhJceeqNY3Y9kAYQ4e7w","name":"TaskUpdate","input":{"taskId":"3","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4787,"cache_read_input_tokens":144643,"cache_creation":{"ephemeral_5m_input_tokens":4787,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8ca9fefc-65f4-482c-99bf-c41556ef4b24","request_id":"req_011CeQ9gET8vufg3mAsJXkMJ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VVDhJceeqNY3Y9kAYQ4e7w","type":"tool_result","content":"Updated task #3 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"63c493b9-e732-4dd5-9345-be6af6976e90","timestamp":"2026-08-25T21:08:36.606Z","tool_use_result":{"success":true,"taskId":"3","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9gFxB1JN39PeWhkNS5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KVbmtAEmA2V1NucYpRGtqC","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useRef, useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nexport interface Suggestion {\n  id: string;\n  adresse: string | null;\n  apt: string | null;\n  municipalite: string | null;\n  typeProp: string;\n}\n\nexport default function SearchBox({\n  onPick,\n  placeholder,\n  variant = \"default\",\n}: {\n  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n  onPick?: (s: Suggestion) => void;\n  placeholder?: string;\n  /** « hero » : grand champ sur aplat encre (page d'accueil). */\n  variant?: \"default\" | \"hero\";\n}) {\n  const { t, lang } = useLang();\n  const fr = lang === \"fr\";\n  const router = useRouter();\n  const [q, setQ] = useState(\"\");\n  const [sugg, setSugg] = useState<Suggestion[]>([]);\n  const [open, setOpen] = useState(false);\n  const [searched, setSearched] = useState(false);\n  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n  const input = useRef<HTMLInputElement>(null);\n\n  const onChange = (value: string) => {\n    setQ(value);\n    if (timer.current) clearTimeout(timer.current);\n    if (value.trim().length < 3) {\n      setSugg([]);\n      setSearched(false);\n      return;\n    }\n    timer.current = setTimeout(async () => {\n      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n      const data = (await res.json()) as { results: Suggestion[] };\n      setSugg(data.results);\n      setSearched(true);\n      setOpen(true);\n    }, 200);\n  };\n\n  const pick = (s: Suggestion) => {\n    if (onPick) {\n      onPick(s);\n      setQ(\"\");\n      setSugg([]);\n      setSearched(false);\n    } else {\n      router.push(`/estimation/${s.id}`);\n    }\n  };\n\n  const hero = variant === \"hero\";\n\n  return (\n    <div className=\"relative w-full\">\n      <div className={hero ? \"flex items-stretch gap-0\" : undefined}>\n        <input\n          ref={input}\n          value={q}\n          onChange={(e) => onChange(e.target.value)}\n          onFocus={() => setOpen(true)}\n          onBlur={() => setTimeout(() => setOpen(false), 200)}\n          placeholder={placeholder ?? t(\"searchPlaceholder\")}\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }\n          aria-label={placeholder ?? t(\"searchPlaceholder\")}\n        />\n        {hero && (\n          <button\n            type=\"button\"\n            aria-label={fr ? \"Estimer cette adresse\" : \"Estimate this address\"}\n            onMouseDown={(e) => {\n              // mousedown : devance le blur de l'input (sinon le menu se ferme avant)\n              e.preventDefault();\n              if (sugg.length > 0) pick(sugg[0]);\n              else input.current?.focus();\n            }}\n            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"\n          >\n            {fr ? \"Estimer\" : \"Estimate\"}\n            <span aria-hidden=\"true\">→</span>\n          </button>\n        )}\n      </div>\n      {open && sugg.length > 0 && (\n        <ul\n          className={`absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[2px] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] shadow-[0_14px_40px_rgba(0,0,0,0.5)]\"\n              : \"border border-[var(--line-strong)] bg-surface shadow-[0_10px_30px_rgba(20,24,20,0.14)]\"\n          }`}\n        >\n          {sugg.map((s, i) => (\n            <li\n              key={s.id}\n              className={\n                hero\n                  ? \"border-b border-[rgba(245,243,238,0.1)] last:border-0\"\n                  : \"border-b border-[rgba(20,24,20,0.08)] last:border-0\"\n              }\n            >\n              <button\n                className={`flex w-full items-baseline justify-between gap-3 px-4 py-3 text-left transition-colors ${\n                  hero ? \"hover:bg-[rgba(245,243,238,0.08)]\" : \"hover:bg-surface-2\"\n                }`}\n                onMouseDown={() => pick(s)}\n              >\n                <span className=\"flex min-w-0 items-baseline gap-2.5\">\n                  <span\n                    className={`vp-mono shrink-0 text-[10px] ${\n                      hero ? \"text-[var(--accent-bright)]\" : \"text-accent\"\n                    }`}\n                  >\n                    {String(i + 1).padStart(2, \"0\")}\n                  </span>\n                  <span\n                    className={`vp-display truncate font-bold ${\n                      hero ? \"text-[var(--paper-on-ink)]\" : \"\"\n                    }`}\n                  >\n                    {s.adresse}\n                    {s.apt ? ` app. ${s.apt}` : \"\"}\n                  </span>\n                </span>\n                <span\n                  className={`vp-mono shrink-0 text-[10.5px] uppercase tracking-[0.05em] ${\n                    hero ? \"text-[rgba(245,243,238,0.55)]\" : \"text-ink-3\"\n                  }`}\n                >\n                  {s.municipalite}\n                </span>\n              </button>\n            </li>\n          ))}\n        </ul>\n      )}\n      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n        <div\n          className={`vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[2px] px-4 py-3 text-[12px] uppercase tracking-[0.04em] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] text-[rgba(245,243,238,0.7)]\"\n              : \"border border-[var(--line-strong)] bg-surface text-ink-2\"\n          }`}\n        >\n          {t(\"searchNoResult\")}\n        </div>\n      )}\n    </div>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4787,"cache_read_input_tokens":144643,"cache_creation":{"ephemeral_5m_input_tokens":4787,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2736ebca-8a69-42ec-9b88-aedfb9393925","request_id":"req_011CeQ9gET8vufg3mAsJXkMJ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KVbmtAEmA2V1NucYpRGtqC","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"95a417fb-4700-41ee-b438-9d570253e1ec","timestamp":"2026-08-25T21:08:58.112Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useRef, useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nexport interface Suggestion {\n  id: string;\n  adresse: string | null;\n  apt: string | null;\n  municipalite: string | null;\n  typeProp: string;\n}\n\nexport default function SearchBox({\n  onPick,\n  placeholder,\n  variant = \"default\",\n}: {\n  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n  onPick?: (s: Suggestion) => void;\n  placeholder?: string;\n  /** « hero » : grand champ sur aplat encre (page d'accueil). */\n  variant?: \"default\" | \"hero\";\n}) {\n  const { t, lang } = useLang();\n  const fr = lang === \"fr\";\n  const router = useRouter();\n  const [q, setQ] = useState(\"\");\n  const [sugg, setSugg] = useState<Suggestion[]>([]);\n  const [open, setOpen] = useState(false);\n  const [searched, setSearched] = useState(false);\n  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n  const input = useRef<HTMLInputElement>(null);\n\n  const onChange = (value: string) => {\n    setQ(value);\n    if (timer.current) clearTimeout(timer.current);\n    if (value.trim().length < 3) {\n      setSugg([]);\n      setSearched(false);\n      return;\n    }\n    timer.current = setTimeout(async () => {\n      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n      const data = (await res.json()) as { results: Suggestion[] };\n      setSugg(data.results);\n      setSearched(true);\n      setOpen(true);\n    }, 200);\n  };\n\n  const pick = (s: Suggestion) => {\n    if (onPick) {\n      onPick(s);\n      setQ(\"\");\n      setSugg([]);\n      setSearched(false);\n    } else {\n      router.push(`/estimation/${s.id}`);\n    }\n  };\n\n  const hero = variant === \"hero\";\n\n  return (\n    <div className=\"relative w-full\">\n      <div className={hero ? \"flex items-stretch gap-0\" : undefined}>\n        <input\n          ref={input}\n          value={q}\n          onChange={(e) => onChange(e.target.value)}\n          onFocus={() => setOpen(true)}\n          onBlur={() => setTimeout(() => setOpen(false), 200)}\n          placeholder={placeholder ?? t(\"searchPlaceholder\")}\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }\n          aria-label={placeholder ?? t(\"searchPlaceholder\")}\n        />\n        {hero && (\n          <button\n            type=\"button\"\n            aria-label={fr ? \"Estimer cette adresse\" : \"Estimate this address\"}\n            onMouseDown={(e) => {\n              // mousedown : devance le blur de l'input (sinon le menu se ferme avant)\n              e.preventDefault();\n              if (sugg.length > 0) pick(sugg[0]);\n              else input.current?.focus();\n            }}\n            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"\n          >\n            {fr ? \"Estimer\" : \"Estimate\"}\n            <span aria-hidden=\"true\">→</span>\n          </button>\n        )}\n      </div>\n      {open && sugg.length > 0 && (\n        <ul\n          className={`absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[2px] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] shadow-[0_14px_40px_rgba(0,0,0,0.5)]\"\n              : \"border border-[var(--line-strong)] bg-surface shadow-[0_10px_30px_rgba(20,24,20,0.14)]\"\n          }`}\n        >\n          {sugg.map((s, i) => (\n            <li\n              key={s.id}\n              className={\n                hero\n                  ? \"border-b border-[rgba(245,243,238,0.1)] last:border-0\"\n                  : \"border-b border-[rgba(20,24,20,0.08)] last:border-0\"\n              }\n            >\n              <button\n                className={`flex w-full items-baseline justify-between gap-3 px-4 py-3 text-left transition-colors ${\n                  hero ? \"hover:bg-[rgba(245,243,238,0.08)]\" : \"hover:bg-surface-2\"\n                }`}\n                onMouseDown={() => pick(s)}\n              >\n                <span className=\"flex min-w-0 items-baseline gap-2.5\">\n                  <span\n                    className={`vp-mono shrink-0 text-[10px] ${\n                      hero ? \"text-[var(--accent-bright)]\" : \"text-accent\"\n                    }`}\n                  >\n                    {String(i + 1).padStart(2, \"0\")}\n                  </span>\n                  <span\n                    className={`vp-display truncate font-bold ${\n                      hero ? \"text-[var(--paper-on-ink)]\" : \"\"\n                    }`}\n                  >\n                    {s.adresse}\n                    {s.apt ? ` app. ${s.apt}` : \"\"}\n                  </span>\n                </span>\n                <span\n                  className={`vp-mono shrink-0 text-[10.5px] uppercase tracking-[0.05em] ${\n                    hero ? \"text-[rgba(245,243,238,0.55)]\" : \"text-ink-3\"\n                  }`}\n                >\n                  {s.municipalite}\n                </span>\n              </button>\n            </li>\n          ))}\n        </ul>\n      )}\n      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n        <div\n          className={`vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[2px] px-4 py-3 text-[12px] uppercase tracking-[0.04em] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] text-[rgba(245,243,238,0.7)]\"\n              : \"border border-[var(--line-strong)] bg-surface text-ink-2\"\n          }`}\n        >\n          {t(\"searchNoResult\")}\n        </div>\n      )}\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":15,"oldLines":18,"newStart":15,"newLines":23,"lines":[" export default function SearchBox({","   onPick,","   placeholder,","+  variant = \"default\","," }: {","   /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */","   onPick?: (s: Suggestion) => void;","   placeholder?: string;","+  /** « hero » : grand champ sur aplat encre (page d'accueil). */","+  variant?: \"default\" | \"hero\";"," }) {","-  const { t } = useLang();","+  const { t, lang } = useLang();","+  const fr = lang === \"fr\";","   const router = useRouter();","   const [q, setQ] = useState(\"\");","   const [sugg, setSugg] = useState<Suggestion[]>([]);","   const [open, setOpen] = useState(false);","   const [searched, setSearched] = useState(false);","   const timer = useRef<ReturnType<typeof setTimeout> | null>(null);","+  const input = useRef<HTMLInputElement>(null);"," ","   const onChange = (value: string) => {","     setQ(value);"]},{"oldStart":45,"oldLines":39,"newStart":50,"newLines":98,"lines":["     }, 200);","   };"," ","+  const pick = (s: Suggestion) => {","+    if (onPick) {","+      onPick(s);","+      setQ(\"\");","+      setSugg([]);","+      setSearched(false);","+    } else {","+      router.push(`/estimation/${s.id}`);","+    }","+  };","+","+  const hero = variant === \"hero\";","+","   return (","     <div className=\"relative w-full\">","-      <input","-        value={q}","-        onChange={(e) => onChange(e.target.value)}","-        onFocus={() => setOpen(true)}","-        onBlur={() => setTimeout(() => setOpen(false), 200)}","-        placeholder={placeholder ?? t(\"searchPlaceholder\")}","-        className=\"vp-input text-base\"","-        aria-label={placeholder ?? t(\"searchPlaceholder\")}","-      />","+      <div className={hero ? \"flex items-stretch gap-0\" : undefined}>","+        <input","+          ref={input}","+          value={q}","+          onChange={(e) => onChange(e.target.value)}","+          onFocus={() => setOpen(true)}","+          onBlur={() => setTimeout(() => setOpen(false), 200)}","+          placeholder={placeholder ?? t(\"searchPlaceholder\")}","+          className={","+            hero","+              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"","+              : \"vp-input text-base\"","+          }","+          aria-label={placeholder ?? t(\"searchPlaceholder\")}","+        />","+        {hero && (","+          <button","+            type=\"button\"","+            aria-label={fr ? \"Estimer cette adresse\" : \"Estimate this address\"}","+            onMouseDown={(e) => {","+              // mousedown : devance le blur de l'input (sinon le menu se ferme avant)","+              e.preventDefault();","+              if (sugg.length > 0) pick(sugg[0]);","+              else input.current?.focus();","+            }}","+            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"","+          >","+            {fr ? \"Estimer\" : \"Estimate\"}","+            <span aria-hidden=\"true\">→</span>","+          </button>","+        )}","+      </div>","       {open && sugg.length > 0 && (","-        <ul className=\"absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[10px] border-[1.5px] border-ink bg-surface shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">","-          {sugg.map((s) => (","-            <li key={s.id} className=\"border-b border-[rgba(20,24,20,0.1)] last:border-0\">","+        <ul","+          className={`absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[2px] ${","+            hero","+              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] shadow-[0_14px_40px_rgba(0,0,0,0.5)]\"","+              : \"border border-[var(--line-strong)] bg-surface shadow-[0_10px_30px_rgba(20,24,20,0.14)]\"","+          }`}","+        >","+          {sugg.map((s, i) => (","+            <li","+              key={s.id}","+              className={","+                hero","+                  ? \"border-b border-[rgba(245,243,238,0.1)] last:border-0\"","+                  : \"border-b border-[rgba(20,24,20,0.08)] last:border-0\"","+              }","+            >","               <button","-                className=\"flex w-full items-baseline justify-between gap-2 px-4 py-3 text-left transition-colors hover:bg-lime-soft\"","-                onMouseDown={() => {","-                  if (onPick) {","-                    onPick(s);","-                    setQ(\"\");","-                    setSugg([]);","-                    setSearched(false);","-                  } else {","-                    router.push(`/estimation/${s.id}`);","-                  }","-                }}","+                className={`flex w-full items-baseline justify-between gap-3 px-4 py-3 text-left transition-colors ${","+                  hero ? \"hover:bg-[rgba(245,243,238,0.08)]\" : \"hover:bg-surface-2\"","+                }`}","+                onMouseDown={() => pick(s)}","               >","-                <span className=\"vp-display font-bold\">","-                  {s.adresse}","-                  {s.apt ? ` app. ${s.apt}` : \"\"}","+                <span className=\"flex min-w-0 items-baseline gap-2.5\">","+                  <span","+                    className={`vp-mono shrink-0 text-[10px] ${","+                      hero ? \"text-[var(--accent-bright)]\" : \"text-accent\"","+                    }`}","+                  >","+                    {String(i + 1).padStart(2, \"0\")}","+                  </span>","+                  <span","+                    className={`vp-display truncate font-bold ${","+                      hero ? \"text-[var(--paper-on-ink)]\" : \"\"","+                    }`}","+                  >","+                    {s.adresse}","+                    {s.apt ? ` app. ${s.apt}` : \"\"}","+                  </span>","                 </span>","-                <span className=\"vp-mono shrink-0 text-[11px] uppercase tracking-[0.05em] text-ink-3\">","+                <span","+                  className={`vp-mono shrink-0 text-[10.5px] uppercase tracking-[0.05em] ${","+                    hero ? \"text-[rgba(245,243,238,0.55)]\" : \"text-ink-3\"","+                  }`}","+                >","                   {s.municipalite}","                 </span>","               </button>"]},{"oldStart":86,"oldLines":7,"newStart":150,"newLines":13,"lines":["         </ul>","       )}","       {open && searched && sugg.length === 0 && q.trim().length >= 3 && (","-        <div className=\"vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3 text-[12px] uppercase tracking-[0.04em] text-ink-2 shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">","+        <div","+          className={`vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[2px] px-4 py-3 text-[12px] uppercase tracking-[0.04em] ${","+            hero","+              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] text-[rgba(245,243,238,0.7)]\"","+              : \"border border-[var(--line-strong)] bg-surface text-ink-2\"","+          }`}","+        >","           {t(\"searchNoResult\")}","         </div>","       )}"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useRef, useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nexport interface Suggestion {\n  id: string;\n  adresse: string | null;\n  apt: string | null;\n  municipalite: string | null;\n  typeProp: string;\n}\n\nexport default function SearchBox({\n  onPick,\n  placeholder,\n}: {\n  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n  onPick?: (s: Suggestion) => void;\n  placeholder?: string;\n}) {\n  const { t } = useLang();\n  const router = useRouter();\n  const [q, setQ] = useState(\"\");\n  const [sugg, setSugg] = useState<Suggestion[]>([]);\n  const [open, setOpen] = useState(false);\n  const [searched, setSearched] = useState(false);\n  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n\n  const onChange = (value: string) => {\n    setQ(value);\n    if (timer.current) clearTimeout(timer.current);\n    if (value.trim().length < 3) {\n      setSugg([]);\n      setSearched(false);\n      return;\n    }\n    timer.current = setTimeout(async () => {\n      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n      const data = (await res.json()) as { results: Suggestion[] };\n      setSugg(data.results);\n      setSearched(true);\n      setOpen(true);\n    }, 200);\n  };\n\n  return (\n    <div className=\"relative w-full\">\n      <input\n        value={q}\n        onChange={(e) => onChange(e.target.value)}\n        onFocus={() => setOpen(true)}\n        onBlur={() => setTimeout(() => setOpen(false), 200)}\n        placeholder={placeholder ?? t(\"searchPlaceholder\")}\n        className=\"vp-input text-base\"\n        aria-label={placeholder ?? t(\"searchPlaceholder\")}\n      />\n      {open && sugg.length > 0 && (\n        <ul className=\"absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[10px] border-[1.5px] border-ink bg-surface shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">\n          {sugg.map((s) => (\n            <li key={s.id} className=\"border-b border-[rgba(20,24,20,0.1)] last:border-0\">\n              <button\n                className=\"flex w-full items-baseline justify-between gap-2 px-4 py-3 text-left transition-colors hover:bg-lime-soft\"\n                onMouseDown={() => {\n                  if (onPick) {\n                    onPick(s);\n                    setQ(\"\");\n                    setSugg([]);\n                    setSearched(false);\n                  } else {\n                    router.push(`/estimation/${s.id}`);\n                  }\n                }}\n              >\n                <span className=\"vp-display font-bold\">\n                  {s.adresse}\n                  {s.apt ? ` app. ${s.apt}` : \"\"}\n                </span>\n                <span className=\"vp-mono shrink-0 text-[11px] uppercase tracking-[0.05em] text-ink-3\">\n                  {s.municipalite}\n                </span>\n              </button>\n            </li>\n          ))}\n        </ul>\n      )}\n      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n        <div className=\"vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3 text-[12px] uppercase tracking-[0.04em] text-ink-2 shadow-[6px_6px_0_rgba(20,24,20,0.85)]\">\n          {t(\"searchNoResult\")}\n        </div>\n      )}\n    </div>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7b8234b5-2ec8-4751-9165-c4e3db5a1160","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"277e18af-bc64-443e-a08a-4126e04ecad0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"8eed9b23-cb49-4cda-a535-d70acb08affe","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"6c916be1-11df-4ad4-ac91-94ca2297d02f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":150,"uuid":"733e9003-e794-4119-9d79-12643b3c1e5a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"5aec9ac1-edb8-4847-a862-fc8416312799","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"8172fd0a-50e9-4b85-adf9-9d60984cd8e7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":50,"uuid":"604d2dd0-6dc9-4c86-9fc1-e6b5d143ec69","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":150,"uuid":"4fd2f62a-0213-460c-a80e-f726d1dcda8b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":50,"uuid":"e710930c-0654-4155-b97e-ea52df0839a3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"6680f4bd-abdc-443a-862e-66f5428bcf1d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":50,"uuid":"feb2c8b5-0bbe-40c4-8c41-b305f1af09f6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":100,"uuid":"80fadfef-d839-4b01-823e-e980de77e4bd","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1100,"estimated_tokens_delta":100,"uuid":"385c11f3-1afc-4098-a795-c9c9301a63da","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":50,"uuid":"e4c7ca61-86f4-4595-bdd3-176a75182346","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"ee1262d9-9e15-41fd-b465-9c2cf6bcc908","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1400,"estimated_tokens_delta":150,"uuid":"0a3619ab-0fb5-4ba0-b03f-ac8949574549","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ikhrnjBBoT7cC584b","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3234,"cache_read_input_tokens":149430,"cache_creation":{"ephemeral_5m_input_tokens":3234,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"da195456-4ac6-49d2-84f2-ab39b65d0961","request_id":"req_011CeQ9ij77qQwj7verdCqeS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ikhrnjBBoT7cC584b","type":"message","role":"assistant","content":[{"type":"text","text":"EstimateForm hérite déjà du nouveau style via `.vp-input` redéfini. Task 4 — les graphiques. Je vérifie d'abord tous les points d'import de MetricViz pour ne rien casser :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3234,"cache_read_input_tokens":149430,"cache_creation":{"ephemeral_5m_input_tokens":3234,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c71115ac-b75e-4a27-97e4-80d2f67ffed9","request_id":"req_011CeQ9ij77qQwj7verdCqeS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ikhrnjBBoT7cC584b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DZwiBCgj4xHr9e2M3nVRPY","name":"TaskUpdate","input":{"taskId":"3","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3234,"cache_read_input_tokens":149430,"cache_creation":{"ephemeral_5m_input_tokens":3234,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"46aae60f-7518-4841-a7c4-86e610f43da8","request_id":"req_011CeQ9ij77qQwj7verdCqeS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ikhrnjBBoT7cC584b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WB9AC8mkNuquVHHfxr8XSU","name":"TaskUpdate","input":{"taskId":"4","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3234,"cache_read_input_tokens":149430,"cache_creation":{"ephemeral_5m_input_tokens":3234,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0dda85dc-d844-4d76-b7d3-70ede7688c60","request_id":"req_011CeQ9ij77qQwj7verdCqeS"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DZwiBCgj4xHr9e2M3nVRPY","type":"tool_result","content":"Updated task #3 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8c43a998-3789-4258-bc80-b312721fe4b8","timestamp":"2026-08-25T21:09:27.654Z","tool_use_result":{"success":true,"taskId":"3","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WB9AC8mkNuquVHHfxr8XSU","type":"tool_result","content":"Updated task #4 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e7575b48-2447-4d77-8e96-7aa6557312ae","timestamp":"2026-08-25T21:09:27.655Z","tool_use_result":{"success":true,"taskId":"4","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ikhrnjBBoT7cC584b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012CNp9JH3vtGW3NzwTBaaDc","name":"Bash","input":{"command":"grep -rn \"from \\\"@/components/MetricViz\\\"\\|from \\\"./MetricViz\\\"\\|from \\\"../components/MetricViz\\\"\" src/ | sed 's/:import//'","description":"Find all MetricViz import sites"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3234,"cache_read_input_tokens":149430,"cache_creation":{"ephemeral_5m_input_tokens":3234,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"49d4c09d-46f4-426a-819f-80451bc3c549","request_id":"req_011CeQ9ij77qQwj7verdCqeS"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012CNp9JH3vtGW3NzwTBaaDc","type":"tool_result","content":"src/app/HomeClient.tsx:6 { IndexSpark, locNum } from \"@/components/MetricViz\";\nsrc/app/parc/ParcClient.tsx:6 { CountUp, locNum, Sparkline, ValueSplit } from \"@/components/MetricViz\";\nsrc/components/ResultView.tsx:20:} from \"./MetricViz\";\nsrc/components/StatsView.tsx:9 { CountUp } from \"./MetricViz\";","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7ca3a009-24f1-4f1f-bdea-b1091f9e0040","timestamp":"2026-08-25T21:09:28.896Z","tool_use_result":{"stdout":"src/app/HomeClient.tsx:6 { IndexSpark, locNum } from \"@/components/MetricViz\";\nsrc/app/parc/ParcClient.tsx:6 { CountUp, locNum, Sparkline, ValueSplit } from \"@/components/MetricViz\";\nsrc/components/ResultView.tsx:20:} from \"./MetricViz\";\nsrc/components/StatsView.tsx:9 { CountUp } from \"./MetricViz\";","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"aa798012-b4b2-434d-ae3b-8f4adf43ac3b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"173069b6-c064-4168-bc49-5361a9c1d599","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"f9e0ec52-b2ee-4ecc-9849-e1a5ec11277a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":50,"uuid":"37bc91fd-4cdb-4c39-b032-f55a04c16a6f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"56f71c8d-7fef-41a8-9622-1022c5f63370","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"c5542f59-f096-4f49-97ea-21dafad9a376","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":150,"uuid":"ab299126-a376-45f3-8441-e1e08c1370e3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"0534f96d-72ec-4082-8f54-e9a17081b7b0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"9ca68f6d-e18c-4bcb-85cf-508f32c73059","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":50,"uuid":"d4ccb949-9638-42e4-9bc5-cbb643468472","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"f1aa8733-4a6d-4488-a1da-78952f77af3e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":100,"uuid":"62587a59-aa36-4f84-aadb-f4d2a248cdce","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":100,"uuid":"2d976ac0-3d8e-4c42-8060-d937c105bbb1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":100,"uuid":"c0580f15-c88c-4064-9380-30224a26e0b0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1200,"estimated_tokens_delta":50,"uuid":"4eebf972-67cf-4fa3-95e1-e0d10544cd99","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1300,"estimated_tokens_delta":100,"uuid":"9d665478-8b1c-4e12-83ab-6971248e0bcf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":50,"uuid":"4a4b0f92-0321-46fb-ae89-ee97a098cb32","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":100,"uuid":"8fcf6e22-3e60-4ee2-bfc3-4fd54a171910","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1500,"estimated_tokens_delta":50,"uuid":"5c7dcdcd-6bc8-440b-b566-e8f4d4ed023b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1650,"estimated_tokens_delta":150,"uuid":"fff8b480-adb7-4fad-90f3-8b1e1acbdeb2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1750,"estimated_tokens_delta":100,"uuid":"6b93dfae-d0e4-4c42-bfa2-1e27fbd130c6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9m2ALuWzY95gxqqSpd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2044,"cache_read_input_tokens":152664,"cache_creation":{"ephemeral_5m_input_tokens":2044,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1671002b-a808-4bcc-aa35-aeb57d0ae87d","request_id":"req_011CeQ9kzbbDqMZShNH57DTY"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9m2ALuWzY95gxqqSpd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2044,"cache_read_input_tokens":152664,"cache_creation":{"ephemeral_5m_input_tokens":2044,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c89edd91-fd6e-464d-9efe-6c72d9e93796","request_id":"req_011CeQ9kzbbDqMZShNH57DTY"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9m2ALuWzY95gxqqSpd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BHfRRVqbdeGLS8ShifBfPA","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur) */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            {labelYs[k] !== y(e.v) && (\n              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n            )}\n            <text\n              x={x(e.i) - 8}\n              y={labelYs[k] + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10.5\"\n              fontWeight=\"700\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink)\"\n              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n            >\n              {e.s.label} · {Math.round(e.v)}\n            </text>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2044,"cache_read_input_tokens":152664,"cache_creation":{"ephemeral_5m_input_tokens":2044,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0e4979a5-0a70-41af-9c56-e58b0b420710","request_id":"req_011CeQ9kzbbDqMZShNH57DTY"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BHfRRVqbdeGLS8ShifBfPA","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"de549197-529f-4a5b-9bff-e55b8cb5e169","timestamp":"2026-08-25T21:12:32.576Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur) */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            {labelYs[k] !== y(e.v) && (\n              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n            )}\n            <text\n              x={x(e.i) - 8}\n              y={labelYs[k] + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10.5\"\n              fontWeight=\"700\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink)\"\n              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n            >\n              {e.s.label} · {Math.round(e.v)}\n            </text>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","structuredPatch":[{"oldStart":1,"oldLines":14,"newStart":1,"newLines":14,"lines":[" // Auteur : Simon-Pierre Boucher — contact@spboucher.ai"," /**","  * MetricViz — visualisations signature générées par les données du registre.","- * Chaque propriété produit ses propres dessins : façade SVG (étages, logements,","- * genre de construction), schéma de terrain à l'échelle (frontage × profondeur),","- * composition de valeur terrain/bâtiment, jauge de confiance, sparkline 2021-2026,","- * compteurs animés. SVG pur, palette encre/lime, aucun aléatoire : mêmes données,","- * même dessin.","+ * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,","+ * étiquettes directes sur les marques, point courant rouge signal, infobulles","+ * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,","+ * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :","+ * encre #141814 · rouge #d8372e · gris #6b736d.","  */"," \"use client\";","-import { useEffect, useState } from \"react\";","+import { useEffect, useRef, useState } from \"react\";"," "," /** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */"," export function locNum("]},{"oldStart":23,"oldLines":6,"newStart":23,"newLines":14,"lines":["   return opts?.unit ? `${s} ${opts.unit}` : s;"," }"," ","+const MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];","+const MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];","+function fmtMonth(month: string, lang: string): string {","+  const [y, m] = month.split(\"-\").map(Number);","+  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;","+  return `${names[(m ?? 1) - 1]} ${y}`;","+}","+"," /* ---------------------------- compteur animé ---------------------------- */"," /** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */"," export function CountUp({"]},{"oldStart":72,"oldLines":38,"newStart":80,"newLines":50,"lines":["   const CIRC = Math.PI * R; // demi-cercle","   const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;","   const color =","-    level === \"A\" ? \"var(--lime)\" : level === \"B\" ? \"var(--green)\" : level === \"C\" ? \"var(--amber)\" : \"var(--danger)\";","+    level === \"A\" || level === \"B\"","+      ? \"var(--ink)\"","+      : level === \"C\"","+        ? \"var(--amber)\"","+        : \"var(--danger)\";","   return (","     <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>","-      <svg viewBox=\"0 0 128 78\" className=\"w-[128px]\">","-        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--surface-2)\" strokeWidth=\"12\" strokeLinecap=\"round\" />","-        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"rgba(20,24,20,0.85)\" strokeWidth=\"13.5\" strokeLinecap=\"round\" opacity=\"0.12\" />","+      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">","+        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />","         <path","           d=\"M 12 66 A 52 52 0 0 1 116 66\"","           fill=\"none\"","           stroke={color}","-          strokeWidth=\"12\"","-          strokeLinecap=\"round\"","+          strokeWidth=\"8\"","+          strokeLinecap=\"butt\"","           strokeDasharray={`${CIRC * frac} ${CIRC}`}","           style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}","         />","         {/* graduations */}","         {[0, 0.25, 0.5, 0.75, 1].map((g) => {","           const a = Math.PI * (1 - g);","-          const x1 = 64 + Math.cos(a) * 40;","-          const y1 = 66 - Math.sin(a) * 40;","-          const x2 = 64 + Math.cos(a) * 45;","-          const y2 = 66 - Math.sin(a) * 45;","-          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1.4\" opacity=\"0.5\" />;","+          const x1 = 64 + Math.cos(a) * 42;","+          const y1 = 66 - Math.sin(a) * 42;","+          const x2 = 64 + Math.cos(a) * 46;","+          const y2 = 66 - Math.sin(a) * 46;","+          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;","         })}","-        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"26\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">","+        {/* pointe de lecture — rouge signal */}","+        {(() => {","+          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));","+          const x1 = 64 + Math.cos(a) * 44;","+          const y1 = 66 - Math.sin(a) * 44;","+          const x2 = 64 + Math.cos(a) * 60;","+          const y2 = 66 - Math.sin(a) * 60;","+          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;","+        })()}","+        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">","           {level}","         </text>","-        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"700\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">","+        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">","           {pct} %","         </text>","       </svg>","-      <p className=\"klabel mt-1 text-center\">{label}</p>","+      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>","     </div>","   );"," }"]},{"oldStart":113,"oldLines":7,"newStart":133,"newLines":7,"lines":[" function VacantGlyph({ lang }: { lang: string }) {","   const tree = (x: number, sc: number) => (","     <g transform={`translate(${x}, 128) scale(${sc})`}>","-      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","+      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","       <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />","     </g>","   );"]},{"oldStart":125,"oldLines":9,"newStart":145,"newLines":9,"lines":["       {/* borne d'arpenteur */}","       <g transform=\"translate(24, 128)\">","         <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />","-        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />","+        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />","       </g>","-      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />","+      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","       <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">","         {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}","       </text>"]},{"oldStart":178,"oldLines":9,"newStart":198,"newLines":9,"lines":["           y={bodyTop + f * fh + 6}","           width=\"12\"","           height=\"11\"","-          fill={idx < nD ? \"var(--lime)\" : \"var(--surface-2)\"}","+          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}","           stroke=\"var(--ink)\"","-          strokeWidth=\"1.2\"","+          strokeWidth=\"1\"","           className=\"vv-win\"","           style={{ animationDelay: `${idx * 60}ms` }}","         />"]},{"oldStart":191,"oldLines":33,"newStart":211,"newLines":30,"lines":["   return (","     <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">","       {/* soleil-repère */}","-      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />","-      <circle cx={W - 22} cy=\"22\" r=\"3.5\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1\" />","-      {/* ombre décalée signature */}","-      <rect x={bx + 5} y={bodyTop + 5} width={bw} height={nF * fh} fill=\"rgba(20,24,20,0.12)\" />","+      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />","+      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />","       {/* corps */}","-      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />","+      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","       {/* séparations d'étages */}","       {Array.from({ length: nF - 1 }, (_, i) => (","-        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"1\" strokeDasharray=\"3 3\" opacity=\"0.4\" />","+        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />","       ))}","       {/* toit */}","       {flat ? (","-        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","+        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />","       ) : mansard ? (","-        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","+        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />","       ) : (","-        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","+        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />","       )}","       {/* cheminée */}","-      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"9\" height={flat ? 14 : 18} fill=\"var(--ink)\" />","+      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />","       {windows}","       {/* porte */}","       <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />","-      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--lime)\" />","+      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />","       {/* sol */}","-      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"2.2\" />","-      <line x1=\"8\" y1={groundY + 4} x2={W - 8} y2={groundY + 4} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.3\" />","+      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","       {/* millésime gravé */}","       {yearBuilt && (","         <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">"]},{"oldStart":246,"oldLines":7,"newStart":263,"newLines":7,"lines":["   if (!areaM2 || areaM2 <= 0) {","     return (","       <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>","-        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" strokeDasharray=\"5 5\" rx=\"6\" />","+        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />","         <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>","         <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">","           {isCondo"]},{"oldStart":284,"oldLines":35,"newStart":301,"newLines":34,"lines":["     <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">","       <defs>","         <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">","-          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--green)\" strokeWidth=\"1\" opacity=\"0.35\" />","+          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />","         </pattern>","       </defs>","-      {/* ombre + parcelle */}","-      <rect x={x + 4} y={y + 4} width={w} height={h} fill=\"rgba(20,24,20,0.12)\" />","-      <rect x={x} y={y} width={w} height={h} fill=\"var(--lime-soft)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />","+      {/* parcelle */}","+      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","       <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />","       {/* empreinte bâtiment */}","       {fpFrac > 0.005 && (","-        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\" rx=\"2\">","+        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">","           <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>","         </rect>","       )}","       {/* cotes : frontage */}","-      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />","-      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />","-      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />","+      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />","+      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />","+      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />","       <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">","         {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}","       </text>","       {/* cotes : profondeur */}","-      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />","-      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />","-      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />","+      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />","+      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />","+      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />","       <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>","         ≈ {fmtM(depth)}","       </text>","       {/* rue */}","-      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />","+      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","       <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">","         {lang === \"fr\" ? \"RUE\" : \"STREET\"}","       </text>"]},{"oldStart":351,"oldLines":42,"newStart":367,"newLines":43,"lines":["   const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;","   return (","     <div>","-      <div className=\"flex h-9 w-full overflow-hidden rounded-md border-[1.5px] border-ink\">","+      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}","+      <div className=\"flex h-7 w-full gap-[2px]\">","         {lPct >= 1 && (","           <div","-            className=\"flex items-center justify-center overflow-hidden bg-green transition-[width] duration-1000 ease-out\"","+            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"","             style={{ width: on ? `${lPct}%` : \"2%\" }}","           >","             {lPct >= 14 && (","-              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(lPct)} %</span>","+              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>","             )}","           </div>","         )}","         {lPct <= 99 && (","           <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">","             {100 - lPct >= 14 && (","-              <span className=\"vp-mono px-1 text-[10px] font-bold text-lime\">{Math.round(100 - lPct)} %</span>","+              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>","             )}","           </div>","         )}","       </div>","       <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">","         <span className=\"flex items-center gap-1.5 text-ink-2\">","-          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-green\" />","+          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />","           {labels.land} {fmt(l)}","         </span>","         <span className=\"flex items-center gap-1.5 text-ink-2\">","-          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-ink\" />","+          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />","           {labels.building} {fmt(b)}","         </span>","       </div>","       {delta != null && (","         <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">","           {labels.previous} {fmt(previous!)}{\" \"}","-          <span className={`ml-1 rounded-[4px] border border-ink px-1.5 py-0.5 font-bold ${delta >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>","+          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>","             {delta >= 0 ? \"+\" : \"\"}","             {delta.toFixed(1)} %","-          </span>","+          </b>","         </p>","       )}","     </div>"]},{"oldStart":412,"oldLines":20,"newStart":429,"newLines":15,"lines":["     height - 8 - ((p.value - min) / span) * (height - 18),","   ]);","   const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");","-  const area = `${xy[0][0]},${height - 4} ${line} ${xy[xy.length - 1][0]},${height - 4}`;","   const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);","   const [x2, y2] = xy[xy.length - 1];","   return (","     <div className=\"flex items-end gap-2\">","       <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>","-        <polygon points={area} fill=\"var(--lime-soft)\" />","-        <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />","-        {xy.slice(0, -1).map(([x, y], i) => (","-          <circle key={i} cx={x} cy={y} r=\"2\" fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.1\" />","-        ))}","-        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />","+        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />","+        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />","       </svg>","-      <span className={`vp-mono mb-0.5 rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${growth >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>","+      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>","         {growth >= 0 ? \"+\" : \"\"}","         {growth.toFixed(0)} %","       </span>"]},{"oldStart":434,"oldLines":7,"newStart":446,"newLines":7,"lines":[" }"," "," /* ------------------------- fourchette visuelle P10-P90 ------------------------- */","-/** Barre de fourchette : segment P10→P90, losange = estimation, tiret = rôle. */","+/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */"," export function RangeBar({","   low,","   estimate,"]},{"oldStart":460,"oldLines":7,"newStart":472,"newLines":7,"lines":["   const min = lo - pad;","   const max = hi + pad;","   const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));","-  // les étiquettes (centrées, nowrap) restent dans la carte même aux extrêmes","+  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes","   const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));","   const fmt = (v: number) =>","     new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {"]},{"oldStart":477,"oldLines":46,"newStart":489,"newLines":47,"lines":["       Math.abs(X(role) - X(high)) < 15);","   return (","     <div aria-label={`${fmt(low)} – ${fmt(high)}`}>","-      <div className=\"relative h-[64px]\">","+      <div className=\"relative h-[62px]\">","         {/* étiquette estimation */}","         <div","           className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"","           style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}","         >","-          <span className=\"vp-mono rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\">","+          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">","             {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}","           </span>","         </div>","-        {/* piste */}","-        <div className=\"absolute left-0 right-0 top-[30px] h-[14px] rounded-[7px] border-[1.5px] border-ink bg-surface-2\" />","-        {/* segment P10-P90 */}","+        {/* piste hairline */}","+        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />","+        {/* segment P10-P90 — encre pleine, fine */}","         <div","-          className=\"absolute top-[30px] h-[14px] origin-left rounded-[7px] border-[1.5px] border-ink transition-transform duration-1000 ease-out\"","+          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"","           style={{","             left: `${X(low)}%`,","             width: `${Math.max(2, X(high) - X(low))}%`,","             transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",","-            background:","-              \"repeating-linear-gradient(-45deg, var(--lime-soft), var(--lime-soft) 5px, rgba(255,81,72,0.35) 5px, rgba(255,81,72,0.35) 7px)\",","           }}","         />","-        {/* marqueur estimation (losange) */}","+        {/* bornes : ticks */}","+        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />","+        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />","+        {/* marqueur estimation (losange rouge signal) */}","         <div","-          className=\"absolute top-[29px] -translate-x-1/2 transition-[left] duration-700 ease-out\"","+          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"","           style={{ left: `${on ? X(estimate) : 50}%` }}","         >","-          <div className=\"h-[16px] w-[16px] rotate-45 border-[1.8px] border-ink bg-lime\" />","+          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />","         </div>","         {/* marqueur rôle */}","         {role != null && role > 0 && (","           <>","             <div","-              className=\"absolute top-[22px] h-[30px] w-0 -translate-x-1/2 border-l-[2px] border-dashed border-ink opacity-70\"","+              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"","               style={{ left: `${X(role)}%` }}","             />","             {!roleClose && (","               <span","-                className=\"vp-mono absolute top-[52px] -translate-x-1/2 whitespace-nowrap text-[9px] font-bold uppercase tracking-[0.06em] text-ink-2\"","+                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"","                 style={{ left: `${clampX(role, 11, 89)}%` }}","               >","                 {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}"]},{"oldStart":526,"oldLines":13,"newStart":539,"newLines":13,"lines":["         )}","         {/* bornes */}","         <span","-          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"","+          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"","           style={{ left: `${clampX(low, 11, 89)}%` }}","         >","           P10 {fmt(low)}","         </span>","         <span","-          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"","+          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"","           style={{ left: `${clampX(high, 11, 89)}%` }}","         >","           P90 {fmt(high)}"]},{"oldStart":542,"oldLines":6,"newStart":555,"newLines":208,"lines":["   );"," }"," ","+/* ----------------------- pouls du marché (multi-séries) ----------------------- */","+export interface PulseChartSeries {","+  key: string;","+  label: string;","+  color: string; // var(--chart-1|2|3)","+  series: { month: string; idx: number }[];","+}","+","+/**","+ * Comparaison des grands types sur une même échelle (base 100 au début de la","+ * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :","+ * l'identité ne repose jamais sur la couleur seule.","+ */","+export function MarketPulseChart({","+  data,","+  lang,","+  months,","+}: {","+  data: PulseChartSeries[];","+  lang: string;","+  /** Fenêtre en mois (null = tout l'historique). */","+  months: number | null;","+}) {","+  const wrap = useRef<HTMLDivElement>(null);","+  const [hi, setHi] = useState<number | null>(null);","+","+  // fenêtre commune : mois de la série la plus longue, tronquée à `months`","+  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);","+  if (!longest || longest.series.length < 2) return null;","+  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);","+  const n = windowMonths.length;","+  if (n < 2) return null;","+","+  // valeurs rebasées à 100 au premier mois de la fenêtre, par série","+  const rebased = data.map((s) => {","+    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));","+    const first = windowMonths.find((m) => byMonth.has(m));","+    const base = first != null ? byMonth.get(first)! : null;","+    return {","+      ...s,","+      vals: windowMonths.map((m) => {","+        const v = byMonth.get(m);","+        return v != null && base ? (v / base) * 100 : null;","+      }),","+    };","+  });","+","+  const W = 720;","+  const H = 264;","+  const padL = 34;","+  const padR = 8;","+  const padT = 14;","+  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base","+  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);","+  const min = Math.min(...all);","+  const max = Math.max(...all);","+  const span = max - min || 1;","+  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);","+  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);","+","+  // grille : 100 + min/max arrondis à 5","+  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(","+    (v) => v >= min - 0.5 && v <= max + 0.5","+  );","+  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)","+  const yearTicks = windowMonths","+    .map((m, i) => ({ i, m }))","+    .filter((p) => p.m.endsWith(\"-01\"));","+","+  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)","+  const ends = rebased","+    .map((s) => {","+      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);","+      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;","+    })","+    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)","+    .sort((a, b) => y(a.v) - y(b.v));","+  const labelYs: number[] = [];","+  for (const e of ends) {","+    let ly = y(e.v);","+    const prev = labelYs[labelYs.length - 1];","+    if (prev != null && ly - prev < 15) ly = prev + 15;","+    labelYs.push(ly);","+  }","+","+  const onMove = (clientX: number) => {","+    const el = wrap.current;","+    if (!el) return;","+    const r = el.getBoundingClientRect();","+    const fx = ((clientX - r.left) / r.width) * W;","+    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));","+    setHi(Math.max(0, Math.min(n - 1, i)));","+  };","+","+  const fmtIdx = (v: number | null) =>","+    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });","+","+  return (","+    <div className=\"relative\" ref={wrap}>","+      <svg","+        viewBox={`0 0 ${W} ${H}`}","+        className=\"h-auto w-full touch-pan-y select-none\"","+        role=\"img\"","+        aria-label={","+          lang === \"fr\"","+            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`","+            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`","+        }","+        onPointerMove={(e) => onMove(e.clientX)}","+        onPointerLeave={() => setHi(null)}","+      >","+        {/* grille hairline pleine */}","+        {gridVals.map((v) => (","+          <g key={v}>","+            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />","+            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">","+              {v}","+            </text>","+          </g>","+        ))}","+        {yearTicks.map((p) => (","+          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">","+            {p.m.slice(0, 4)}","+          </text>","+        ))}","+        {/* crosshair */}","+        {hi != null && (","+          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />","+        )}","+        {/* lignes */}","+        {rebased.map((s) => {","+          const pts = s.vals","+            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))","+            .filter(Boolean)","+            .join(\" \");","+          return (","+            <polyline","+              key={s.key}","+              points={pts}","+              fill=\"none\"","+              stroke={s.color}","+              strokeWidth=\"2\"","+              strokeLinejoin=\"round\"","+              strokeLinecap=\"round\"","+            />","+          );","+        })}","+        {/* points survolés (anneau papier) */}","+        {hi != null &&","+          rebased.map((s) =>","+            s.vals[hi] != null ? (","+              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />","+            ) : null","+          )}","+        {/* fins de ligne : point + étiquette directe (série + valeur) */}","+        {ends.map((e, k) => (","+          <g key={e.s.key}>","+            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />","+            {labelYs[k] !== y(e.v) && (","+              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />","+            )}","+            <text","+              x={x(e.i) - 8}","+              y={labelYs[k] + 3.5}","+              textAnchor=\"end\"","+              fontSize=\"10.5\"","+              fontWeight=\"700\"","+              fontFamily=\"var(--font-jetbrains)\"","+              fill=\"var(--ink)\"","+              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}","+            >","+              {e.s.label} · {Math.round(e.v)}","+            </text>","+          </g>","+        ))}","+      </svg>","+      {/* infobulle : toutes les séries au mois visé */}","+      {hi != null && (","+        <div","+          className=\"vv-tip\"","+          style={{","+            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,","+            top: 0,","+            transform: \"translateX(-50%)\",","+          }}","+        >","+          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>","+          {rebased.map((s) => (","+            <p key={s.key} className=\"row\">","+              <span>","+                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />","+                {s.label}","+              </span>","+              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>","+            </p>","+          ))}","+        </div>","+      )}","+    </div>","+  );","+}","+"," /* --------------------------- courbe d'indice de marché --------------------------- */"," /** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */"," export function MarketIndexChart({"]},{"oldStart":551,"oldLines":15,"newStart":766,"newLines":17,"lines":["   series: { month: string; idx: number }[];","   lang: string;"," }) {","+  const wrap = useRef<HTMLDivElement>(null);","+  const [hi, setHi] = useState<number | null>(null);","   if (series.length < 6) return null;","   const base = series[0].idx || 1;","   const pts = series.map((p) => (p.idx / base) * 100);","   const W = 640;","   const H = 200;","-  const padL = 40;","-  const padR = 52;","-  const padT = 18;","-  const padB = 28;","+  const padL = 36;","+  const padR = 46;","+  const padT = 14;","+  const padB = 26;","   const min = Math.min(...pts);","   const max = Math.max(...pts);","   const span = max - min || 1;"]},{"oldStart":571,"oldLines":98,"newStart":788,"newLines":123,"lines":["   const years = series","     .map((p, i) => ({ i, month: p.month }))","     .filter((p) => p.month.endsWith(\"-01\"));","-  // lignes horizontales : min / 100 / max arrondis","   const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(","     (v) => v >= min - 1 && v <= max + 1","   );","   const lastV = pts[pts.length - 1];","+","+  const onMove = (clientX: number) => {","+    const el = wrap.current;","+    if (!el) return;","+    const r = el.getBoundingClientRect();","+    const fx = ((clientX - r.left) / r.width) * W;","+    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));","+    setHi(Math.max(0, Math.min(pts.length - 1, i)));","+  };","+","   return (","-    <svg","-      viewBox={`0 0 ${W} ${H}`}","-      className=\"h-auto w-full\"","-      role=\"img\"","-      aria-label={","-        lang === \"fr\"","-          ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`","-          : `Market index ${series[0].month} to ${series[series.length - 1].month}`","-      }","-    >","-      {gridVals.map((v) => (","-        <g key={v}>","-          <line","-            x1={padL}","-            y1={y(v)}","-            x2={W - padR}","-            y2={y(v)}","-            stroke=\"var(--ink)\"","-            strokeWidth=\"1\"","-            strokeDasharray=\"3 5\"","-            opacity={v === 100 ? 0.45 : 0.18}","-          />","+    <div className=\"relative\" ref={wrap}>","+      <svg","+        viewBox={`0 0 ${W} ${H}`}","+        className=\"h-auto w-full touch-pan-y select-none\"","+        role=\"img\"","+        aria-label={","+          lang === \"fr\"","+            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`","+            : `Market index ${series[0].month} to ${series[series.length - 1].month}`","+        }","+        onPointerMove={(e) => onMove(e.clientX)}","+        onPointerLeave={() => setHi(null)}","+      >","+        {gridVals.map((v) => (","+          <g key={v}>","+            <line","+              x1={padL}","+              y1={y(v)}","+              x2={W - padR}","+              y2={y(v)}","+              stroke=\"var(--ink)\"","+              strokeWidth=\"0.7\"","+              opacity={v === 100 ? 0.35 : 0.12}","+            />","+            <text","+              x={padL - 6}","+              y={y(v) + 3.5}","+              textAnchor=\"end\"","+              fontSize=\"10\"","+              fontFamily=\"var(--font-jetbrains)\"","+              fill=\"var(--ink-3)\"","+            >","+              {v}","+            </text>","+          </g>","+        ))}","+        {years.map((p) => (","           <text","-            x={padL - 6}","-            y={y(v) + 3.5}","-            textAnchor=\"end\"","-            fontSize=\"10\"","-            fontFamily=\"var(--font-jetbrains)\"","-            fill=\"var(--ink-3)\"","-          >","-            {v}","-          </text>","-        </g>","-      ))}","-      {years.map((p) => (","-        <g key={p.month}>","-          <line","-            x1={x(p.i)}","-            y1={padT}","-            x2={x(p.i)}","-            y2={H - padB}","-            stroke=\"var(--ink)\"","-            strokeWidth=\"1\"","-            opacity=\"0.1\"","-          />","-          <text","+            key={p.month}","             x={x(p.i)}","-            y={H - 10}","+            y={H - 8}","             textAnchor=\"middle\"","             fontSize=\"10\"","-            fontWeight=\"700\"","             fontFamily=\"var(--font-jetbrains)\"","-            fill=\"var(--ink-2)\"","+            fill=\"var(--ink-3)\"","           >","             {p.month.slice(0, 4)}","           </text>","-        </g>","-      ))}","-      <polygon points={area} fill=\"var(--lime-soft)\" opacity=\"0.8\" />","-      <polyline","-        points={line}","-        fill=\"none\"","-        stroke=\"var(--green)\"","-        strokeWidth=\"2.6\"","-        strokeLinejoin=\"round\"","-        strokeLinecap=\"round\"","-      />","-      <circle","-        cx={x(pts.length - 1)}","-        cy={y(lastV)}","-        r=\"5\"","-        fill=\"var(--lime)\"","-        stroke=\"var(--ink)\"","-        strokeWidth=\"1.8\"","-      />","-      <text","-        x={x(pts.length - 1) + 9}","-        y={y(lastV) + 4}","-        fontSize=\"11.5\"","-        fontWeight=\"700\"","-        fontFamily=\"var(--font-jetbrains)\"","-        fill=\"var(--ink)\"","-      >","-        {Math.round(lastV)}","-      </text>","-    </svg>","+        ))}","+        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />","+        {hi != null && (","+          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />","+        )}","+        <polyline","+          points={line}","+          fill=\"none\"","+          stroke=\"var(--ink)\"","+          strokeWidth=\"2\"","+          strokeLinejoin=\"round\"","+          strokeLinecap=\"round\"","+        />","+        {hi != null && (","+          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />","+        )}","+        <circle","+          cx={x(pts.length - 1)}","+          cy={y(lastV)}","+          r=\"4\"","+          fill=\"var(--accent)\"","+          stroke=\"var(--paper)\"","+          strokeWidth=\"2\"","+        />","+        <text","+          x={x(pts.length - 1) + 8}","+          y={y(lastV) + 4}","+          fontSize=\"11.5\"","+          fontWeight=\"700\"","+          fontFamily=\"var(--font-jetbrains)\"","+          fill=\"var(--ink)\"","+        >","+          {Math.round(lastV)}","+        </text>","+      </svg>","+      {hi != null && (","+        <div","+          className=\"vv-tip\"","+          style={{","+            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,","+            top: 0,","+            transform: \"translateX(-50%)\",","+          }}","+        >","+          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>","+          <p className=\"row\">","+            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>","+            <span className=\"val\">","+              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}","+            </span>","+          </p>","+        </div>","+      )}","+    </div>","   );"," }"," "]},{"oldStart":690,"oldLines":23,"newStart":932,"newLines":20,"lines":["           return (","             <div","               key={i}","-              className=\"min-w-0 flex-1 rounded-t-[2px] border border-ink transition-colors\"","+              className=\"min-w-0 flex-1 transition-colors\"","               style={{","                 height: `${8 + (b / maxB) * 88}%`,","-                background: filled ? \"var(--lime)\" : \"var(--surface-2)\",","-                borderWidth: \"1px\",","-                opacity: filled ? 1 : 0.55,","+                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",","               }}","             />","           );","         })}","         <div","-          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-ink\"","+          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"","           style={{ left: `${p}%` }}","         >","-          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>","-            {lang === \"fr\" ? \"P\" : \"P\"}","-            {Math.round(p)}","+          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>","+            P{Math.round(p)}","           </span>","         </div>","       </div>"]},{"oldStart":719,"oldLines":10,"newStart":958,"newLines":12,"lines":["   series,","   width = 150,","   height = 46,","+  color = \"var(--ink)\","," }: {","   series: { month: string; idx: number }[];","   width?: number;","   height?: number;","+  color?: string;"," }) {","   if (series.length < 2) return null;","   const base = series[0].idx || 1;"]},{"oldStart":735,"oldLines":13,"newStart":976,"newLines":11,"lines":["     height - 6 - ((v - min) / span) * (height - 14),","   ]);","   const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");","-  const area = `${xy[0][0]},${height - 3} ${line} ${xy[xy.length - 1][0]},${height - 3}`;","   const [lx, ly] = xy[xy.length - 1];","   return (","     <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">","-      <polygon points={area} fill=\"var(--lime-soft)\" />","-      <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />","-      <circle cx={lx} cy={ly} r=\"3.4\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />","+      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />","+      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />","     </svg>","   );"," }"]},{"oldStart":757,"oldLines":12,"newStart":996,"newLines":12,"lines":["   const age = 2026 - year;","   return (","     <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>","-      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","+      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />","       {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {","         const gx = 12 + ((yr - min) / (max - min)) * (W - 24);","         return (","           <g key={yr}>","-            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" opacity=\"0.5\" />","+            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />","             <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">","               {yr}","             </text>"]},{"oldStart":770,"oldLines":7,"newStart":1009,"newLines":7,"lines":["         );","       })}","       <g transform={`translate(${x}, 24)`}>","-        <rect x=\"-7\" y=\"-7\" width=\"14\" height=\"14\" transform=\"rotate(45)\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />","+        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />","         <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">","           {year}","         </text>"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Chaque propriété produit ses propres dessins : façade SVG (étages, logements,\n * genre de construction), schéma de terrain à l'échelle (frontage × profondeur),\n * composition de valeur terrain/bâtiment, jauge de confiance, sparkline 2021-2026,\n * compteurs animés. SVG pur, palette encre/lime, aucun aléatoire : mêmes données,\n * même dessin.\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" ? \"var(--lime)\" : level === \"B\" ? \"var(--green)\" : level === \"C\" ? \"var(--amber)\" : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[128px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--surface-2)\" strokeWidth=\"12\" strokeLinecap=\"round\" />\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"rgba(20,24,20,0.85)\" strokeWidth=\"13.5\" strokeLinecap=\"round\" opacity=\"0.12\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"12\"\n          strokeLinecap=\"round\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 40;\n          const y1 = 66 - Math.sin(a) * 40;\n          const x2 = 64 + Math.cos(a) * 45;\n          const y2 = 66 - Math.sin(a) * 45;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1.4\" opacity=\"0.5\" />;\n        })}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"26\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"700\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--lime)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1.2\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3.5\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      {/* ombre décalée signature */}\n      <rect x={bx + 5} y={bodyTop + 5} width={bw} height={nF * fh} fill=\"rgba(20,24,20,0.12)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"1\" strokeDasharray=\"3 3\" opacity=\"0.4\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--green)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"9\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--lime)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n      <line x1=\"8\" y1={groundY + 4} x2={W - 8} y2={groundY + 4} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.3\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" strokeDasharray=\"5 5\" rx=\"6\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--green)\" strokeWidth=\"1\" opacity=\"0.35\" />\n        </pattern>\n      </defs>\n      {/* ombre + parcelle */}\n      <rect x={x + 4} y={y + 4} width={w} height={h} fill=\"rgba(20,24,20,0.12)\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--lime-soft)\" stroke=\"var(--ink)\" strokeWidth=\"2\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\" rx=\"2\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1.3\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"2.2\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      <div className=\"flex h-9 w-full overflow-hidden rounded-md border-[1.5px] border-ink\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-green transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-lime\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-green\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 rounded-[2px] border border-ink bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <span className={`ml-1 rounded-[4px] border border-ink px-1.5 py-0.5 font-bold ${delta >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </span>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const area = `${xy[0][0]},${height - 4} ${line} ${xy[xy.length - 1][0]},${height - 4}`;\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polygon points={area} fill=\"var(--lime-soft)\" />\n        <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        {xy.slice(0, -1).map(([x, y], i) => (\n          <circle key={i} cx={x} cy={y} r=\"2\" fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.1\" />\n        ))}\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.5\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${growth >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la carte même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[64px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste */}\n        <div className=\"absolute left-0 right-0 top-[30px] h-[14px] rounded-[7px] border-[1.5px] border-ink bg-surface-2\" />\n        {/* segment P10-P90 */}\n        <div\n          className=\"absolute top-[30px] h-[14px] origin-left rounded-[7px] border-[1.5px] border-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n            background:\n              \"repeating-linear-gradient(-45deg, var(--lime-soft), var(--lime-soft) 5px, rgba(255,81,72,0.35) 5px, rgba(255,81,72,0.35) 7px)\",\n          }}\n        />\n        {/* marqueur estimation (losange) */}\n        <div\n          className=\"absolute top-[29px] -translate-x-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[16px] w-[16px] rotate-45 border-[1.8px] border-ink bg-lime\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[22px] h-[30px] w-0 -translate-x-1/2 border-l-[2px] border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[52px] -translate-x-1/2 whitespace-nowrap text-[9px] font-bold uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[50px] -translate-x-1/2 whitespace-nowrap text-[10px] font-bold text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 40;\n  const padR = 52;\n  const padT = 18;\n  const padB = 28;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  // lignes horizontales : min / 100 / max arrondis\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n  return (\n    <svg\n      viewBox={`0 0 ${W} ${H}`}\n      className=\"h-auto w-full\"\n      role=\"img\"\n      aria-label={\n        lang === \"fr\"\n          ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n          : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n      }\n    >\n      {gridVals.map((v) => (\n        <g key={v}>\n          <line\n            x1={padL}\n            y1={y(v)}\n            x2={W - padR}\n            y2={y(v)}\n            stroke=\"var(--ink)\"\n            strokeWidth=\"1\"\n            strokeDasharray=\"3 5\"\n            opacity={v === 100 ? 0.45 : 0.18}\n          />\n          <text\n            x={padL - 6}\n            y={y(v) + 3.5}\n            textAnchor=\"end\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {v}\n          </text>\n        </g>\n      ))}\n      {years.map((p) => (\n        <g key={p.month}>\n          <line\n            x1={x(p.i)}\n            y1={padT}\n            x2={x(p.i)}\n            y2={H - padB}\n            stroke=\"var(--ink)\"\n            strokeWidth=\"1\"\n            opacity=\"0.1\"\n          />\n          <text\n            x={x(p.i)}\n            y={H - 10}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontWeight=\"700\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-2)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        </g>\n      ))}\n      <polygon points={area} fill=\"var(--lime-soft)\" opacity=\"0.8\" />\n      <polyline\n        points={line}\n        fill=\"none\"\n        stroke=\"var(--green)\"\n        strokeWidth=\"2.6\"\n        strokeLinejoin=\"round\"\n        strokeLinecap=\"round\"\n      />\n      <circle\n        cx={x(pts.length - 1)}\n        cy={y(lastV)}\n        r=\"5\"\n        fill=\"var(--lime)\"\n        stroke=\"var(--ink)\"\n        strokeWidth=\"1.8\"\n      />\n      <text\n        x={x(pts.length - 1) + 9}\n        y={y(lastV) + 4}\n        fontSize=\"11.5\"\n        fontWeight=\"700\"\n        fontFamily=\"var(--font-jetbrains)\"\n        fill=\"var(--ink)\"\n      >\n        {Math.round(lastV)}\n      </text>\n    </svg>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 rounded-t-[2px] border border-ink transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--lime)\" : \"var(--surface-2)\",\n                borderWidth: \"1px\",\n                opacity: filled ? 1 : 0.55,\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-ink\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap rounded-[4px] border border-ink bg-ink px-1.5 py-0.5 text-[10px] font-bold text-lime\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            {lang === \"fr\" ? \"P\" : \"P\"}\n            {Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const area = `${xy[0][0]},${height - 3} ${line} ${xy[xy.length - 1][0]},${height - 3}`;\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polygon points={area} fill=\"var(--lime-soft)\" />\n      <polyline points={line} fill=\"none\" stroke=\"var(--green)\" strokeWidth=\"2.2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.4\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-7\" y=\"-7\" width=\"14\" height=\"14\" transform=\"rotate(45)\" fill=\"var(--lime)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5950030f-49e1-44fb-9a4d-33726144d4f7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"8883a16f-19ca-4b68-9eab-f0867578e38a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"e09befff-5158-48d6-a8d2-6e60fb98fdcf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"299d9a1c-506d-4491-baed-53c27ff77684","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"f9a6d99e-0628-4625-a8ec-c22c9bd17855","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"70927643-6ba7-4983-a0fd-cd801d122fea","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"3ccef8fb-7c5a-4e99-b9e7-3aec61ab1fba","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"86565e5a-37cc-4ef8-b9f3-d3bcd830c9c6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":50,"uuid":"ce303b42-0af0-4517-ba82-fb0b08dc2c10","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"40fbd631-a671-4b4f-88f1-2d2b12bc63be","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":100,"uuid":"dbd47390-c389-43b9-a2df-134416c2ca9b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":50,"uuid":"e0c1d5d7-e9e8-4026-9958-c6b7b81fe52d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1100,"estimated_tokens_delta":100,"uuid":"b46215c5-f995-429d-919d-ee6c32733cae","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":50,"uuid":"14933832-b7b0-4beb-b310-3dc67979f68e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1300,"estimated_tokens_delta":150,"uuid":"b59588d8-a860-49cc-85e0-54868caf466d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1400,"estimated_tokens_delta":100,"uuid":"b1a3c7a0-6f41-4913-9dbd-e4da6ca43efc","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9zZiG9ExwJN6Q2UYUY","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":20083,"cache_read_input_tokens":154708,"cache_creation":{"ephemeral_5m_input_tokens":20083,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bd21d55c-5d27-431e-a592-bee42661f5fa","request_id":"req_011CeQ9zXusNf4LdCY8wZBta"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9zZiG9ExwJN6Q2UYUY","type":"message","role":"assistant","content":[{"type":"text","text":"Task 4 terminé. Task 5 : recomposition complète de l'accueil — héro encre pleine largeur, recherche centrale, section marché unique, flux de ventes."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":20083,"cache_read_input_tokens":154708,"cache_creation":{"ephemeral_5m_input_tokens":20083,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"945a84b4-b658-42ce-94eb-9649580c9478","request_id":"req_011CeQ9zXusNf4LdCY8wZBta"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9zZiG9ExwJN6Q2UYUY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013yweRQpjdQMKgbAbLTrmae","name":"TaskUpdate","input":{"taskId":"4","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":20083,"cache_read_input_tokens":154708,"cache_creation":{"ephemeral_5m_input_tokens":20083,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a8d20c86-c815-46f6-81b0-92ce34c11d99","request_id":"req_011CeQ9zXusNf4LdCY8wZBta"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yweRQpjdQMKgbAbLTrmae","type":"tool_result","content":"Updated task #4 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"841d8109-7aab-4bc9-ad1d-9b7f39f9522f","timestamp":"2026-08-25T21:13:00.522Z","tool_use_result":{"success":true,"taskId":"4","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9zZiG9ExwJN6Q2UYUY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SihvoLQoYEVhegRxZqSgRb","name":"TaskUpdate","input":{"taskId":"5","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":20083,"cache_read_input_tokens":154708,"cache_creation":{"ephemeral_5m_input_tokens":20083,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"56174934-b727-47ef-90d5-29c81c867c90","request_id":"req_011CeQ9zXusNf4LdCY8wZBta"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SihvoLQoYEVhegRxZqSgRb","type":"tool_result","content":"Updated task #5 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8267d4fc-1df1-48d9-8a8b-9359d27ee608","timestamp":"2026-08-25T21:13:01.231Z","tool_use_result":{"success":true,"taskId":"5","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9zZiG9ExwJN6Q2UYUY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FjQrA3XxHqYjzvadNNTGeM","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport SearchBox from \"@/components/SearchBox\";\nimport EstimateForm from \"@/components/EstimateForm\";\nimport { locNum, MarketPulseChart } from \"@/components/MetricViz\";\nimport { useLang } from \"@/components/LangContext\";\n\n/** Indice de marché d'un grand type — série + variations (calculé côté serveur). */\nexport interface PulseItem {\n  type: \"unifamilial\" | \"condo\" | \"plex\";\n  series: { month: string; idx: number }[];\n  pct12m: number | null;\n  since2021: number | null;\n}\n\n/** Vente réelle récente appariée à une unité d'évaluation. */\nexport interface RecentSaleItem {\n  id: string;\n  date: string;\n  amount: number;\n  street: string | null;\n  city: string | null;\n  propertyType: string | null;\n  idProvinc: string | null;\n  vsRolePct: number | null;\n}\n\nconst PULSE_LABELS: Record<PulseItem[\"type\"], { fr: string; en: string }> = {\n  unifamilial: { fr: \"Unifamiliale\", en: \"Single-family\" },\n  condo: { fr: \"Condo\", en: \"Condo\" },\n  plex: { fr: \"Plex\", en: \"Plex\" },\n};\n/* attribution FIXE des couleurs de série (jamais recyclée) */\nconst PULSE_COLORS: Record<PulseItem[\"type\"], string> = {\n  unifamilial: \"var(--chart-1)\",\n  condo: \"var(--chart-2)\",\n  plex: \"var(--chart-3)\",\n};\n\n/** Variation signée — l'encre porte le positif, le rouge danger le négatif. */\nfunction Pct({ v, digits = 1 }: { v: number | null; digits?: number }) {\n  if (v == null) return <span className=\"text-ink-3\">—</span>;\n  return (\n    <span className={v >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>\n      {v >= 0 ? \"+\" : \"−\"}\n      {Math.abs(v).toFixed(digits)}&nbsp;%\n    </span>\n  );\n}\n\n/** En-tête de section éditorial : filet fort, numéro mono rouge, titre display. */\nfunction SectionHead({\n  num,\n  kicker,\n  title,\n  lede,\n}: {\n  num: string;\n  kicker: string;\n  title: string;\n  lede?: string;\n}) {\n  return (\n    <header className=\"sec\">\n      <div className=\"flex flex-wrap items-baseline gap-x-4 gap-y-1\">\n        <span className=\"sec-num\">\n          {num} — {kicker}\n        </span>\n      </div>\n      <h2 className=\"vp-display mt-2 max-w-3xl text-[clamp(24px,3.6vw,36px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">\n        {title}\n      </h2>\n      {lede && <p className=\"mt-3 max-w-2xl text-[14.5px] leading-relaxed text-ink-2\">{lede}</p>}\n    </header>\n  );\n}\n\nconst PERIODS = [\n  { key: \"12\", months: 12, fr: \"12 mois\", en: \"12 mo\" },\n  { key: \"24\", months: 24, fr: \"24 mois\", en: \"24 mo\" },\n  { key: \"all\", months: null as number | null, fr: \"Depuis 2021\", en: \"Since 2021\" },\n] as const;\n\nexport default function HomeClient({\n  pulse,\n  recent,\n  salesLast30d,\n}: {\n  pulse: PulseItem[];\n  recent: RecentSaleItem[];\n  salesLast30d: number;\n}) {\n  const { lang, t } = useLang();\n  const fr = lang === \"fr\";\n  const [period, setPeriod] = useState<(typeof PERIODS)[number][\"key\"]>(\"24\");\n  const money = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(v);\n  const dateFmt = (d: string) =>\n    new Date(`${d}T12:00:00`).toLocaleDateString(fr ? \"fr-CA\" : \"en-CA\", {\n      day: \"numeric\",\n      month: \"short\",\n    });\n\n  const months = PERIODS.find((p) => p.key === period)?.months ?? 24;\n  const chartData = pulse.map((p) => ({\n    key: p.type,\n    label: PULSE_LABELS[p.type][lang],\n    color: PULSE_COLORS[p.type],\n    series: p.series,\n  }));\n\n  const proofs: [string, string][] = [\n    [\"3 747 008\", fr ? \"propriétés estimées\" : \"estimated properties\"],\n    [\"745 119\", fr ? \"ventes réelles 2021-2026\" : \"real sales 2021-2026\"],\n    [locNum(salesLast30d, lang, { maxFrac: 0 }), fr ? \"ventes captées / 30 jours\" : \"sales captured / 30 days\"],\n    [\"1 100\", fr ? \"municipalités couvertes\" : \"municipalities covered\"],\n  ];\n\n  return (\n    <div className=\"pb-6\">\n      {/* ================= HÉRO — terminal encre pleine largeur ================= */}\n      <section className=\"bleed vp-dark\">\n        <div className=\"mx-auto max-w-6xl px-4 pb-10 pt-12 sm:px-6 sm:pb-14 sm:pt-16\">\n          <span className=\"kicker !text-[var(--accent-bright)] [&::before]:!bg-[var(--accent-bright)]\">\n            {fr\n              ? \"Terminal public de valeur immobilière — Québec\"\n              : \"Public real-estate value terminal — Québec\"}\n          </span>\n          <h1 className=\"vp-display mt-4 text-[clamp(38px,8vw,92px)] font-bold uppercase leading-[0.95] tracking-[-0.035em]\">\n            {fr ? (\n              <>\n                La <span className=\"outline-txt\">vraie</span> valeur.\n                <br />\n                <span className=\"text-[var(--accent-bright)]\">Sans boîte noire.</span>\n              </>\n            ) : (\n              <>\n                The <span className=\"outline-txt\">true</span> value.\n                <br />\n                <span className=\"text-[var(--accent-bright)]\">No black box.</span>\n              </>\n            )}\n          </h1>\n          <p className=\"mt-5 max-w-xl text-[15.5px] leading-relaxed text-[rgba(245,243,238,0.72)]\">\n            {t(\"sub\")}\n          </p>\n\n          {/* -------- la recherche : l'action centrale de la page -------- */}\n          <div className=\"mt-9 max-w-3xl\">\n            <p className=\"vp-mono mb-1 text-[10.5px] font-medium uppercase tracking-[0.16em] text-[rgba(245,243,238,0.55)]\">\n              {fr ? \"Entrez une adresse au Québec\" : \"Enter a Québec address\"}\n            </p>\n            <SearchBox variant=\"hero\" />\n            <p className=\"vp-mono mt-2.5 text-[10px] uppercase tracking-[0.06em] text-[rgba(245,243,238,0.4)]\">\n              {t(\"dataNote\")}\n            </p>\n          </div>\n\n          {/* -------- preuves de profondeur de données, intégrées -------- */}\n          <div className=\"mt-10 grid grid-cols-2 gap-x-6 gap-y-5 border-t border-[rgba(245,243,238,0.16)] pt-6 sm:grid-cols-4\">\n            {proofs.map(([num, label], i) => (\n              <div key={label}>\n                <p className=\"vp-display flex items-baseline gap-2 text-[clamp(20px,2.6vw,28px)] font-bold leading-none tracking-[-0.02em] text-[var(--paper-on-ink)]\">\n                  {num}\n                  {i === 2 && (\n                    <span\n                      aria-hidden=\"true\"\n                      className=\"inline-block h-[7px] w-[7px] rounded-full bg-[var(--accent-bright)] [animation:pulse_2.4s_ease_infinite]\"\n                    />\n                  )}\n                </p>\n                <p className=\"vp-mono mt-1.5 text-[9.5px] uppercase tracking-[0.12em] text-[rgba(245,243,238,0.5)]\">\n                  {label}\n                </p>\n              </div>\n            ))}\n          </div>\n        </div>\n      </section>\n\n      {/* ============ le principe, en une ligne (pas de boîtes) ============ */}\n      <section className=\"border-b border-[var(--line)] py-6\">\n        <div className=\"grid gap-x-8 gap-y-4 sm:grid-cols-3\">\n          {(fr\n            ? [\n                [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],\n                [\"02\", \"Deux sources croisées\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],\n                [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D — le calcul montré en entier.\"],\n              ]\n            : [\n                [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],\n                [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],\n                [\"03\", \"Range + confidence\", \"P10-P90, A-D index — the full math, shown.\"],\n              ]\n          ).map(([num, title, body]) => (\n            <div key={num} className=\"flex items-start gap-3\">\n              <span className=\"vp-mono pt-[3px] text-[11px] font-bold text-accent\">{num}</span>\n              <p className=\"text-[13px] leading-snug text-ink-2\">\n                <span className=\"vp-display block text-[14px] font-bold uppercase tracking-[-0.01em] text-ink\">\n                  {title}\n                </span>\n                {body}\n              </p>\n            </div>\n          ))}\n        </div>\n      </section>\n\n      {/* ================= MARCHÉ — data visualization éditoriale ================= */}\n      <section className=\"mt-12\">\n        <SectionHead\n          num=\"01\"\n          kicker={fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}\n          title={fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}\n          lede={\n            fr\n              ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Trois grands types, une même échelle : base 100 au début de la période.\"\n              : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Three major types, one scale: base 100 at the period start.\"\n          }\n        />\n\n        {/* contrôles : période (une rangée, au-dessus du graphique) */}\n        <div className=\"mt-5 flex flex-wrap items-end justify-between gap-x-6 gap-y-2 border-b border-[var(--line)]\">\n          <div className=\"flex gap-5\">\n            {PERIODS.map((p) => (\n              <button\n                key={p.key}\n                type=\"button\"\n                className=\"vp-tab\"\n                aria-pressed={period === p.key}\n                onClick={() => setPeriod(p.key)}\n              >\n                {p[lang]}\n              </button>\n            ))}\n          </div>\n          {/* légende — l'identité ne repose jamais sur la couleur seule */}\n          <div className=\"flex flex-wrap gap-x-4 gap-y-1 pb-2\">\n            {chartData.map((s) => (\n              <span key={s.key} className=\"vp-mono flex items-center gap-1.5 text-[10px] uppercase tracking-[0.08em] text-ink-2\">\n                <span className=\"inline-block h-[2px] w-[14px]\" style={{ background: s.color }} />\n                {s.label}\n              </span>\n            ))}\n          </div>\n        </div>\n\n        <div className=\"mt-4\">\n          <MarketPulseChart data={chartData} lang={lang} months={months} />\n        </div>\n\n        {/* lecture par type : variations en colonnes de données */}\n        <div className=\"mt-5 grid gap-x-8 gap-y-3 border-t border-[var(--line)] pt-4 sm:grid-cols-3\">\n          {pulse.map((p) => (\n            <div key={p.type} className=\"flex items-baseline justify-between gap-4 sm:block\">\n              <p className=\"vp-mono flex items-center gap-1.5 text-[10.5px] font-bold uppercase tracking-[0.08em] text-ink\">\n                <span className=\"inline-block h-[2px] w-[12px]\" style={{ background: PULSE_COLORS[p.type] }} />\n                {PULSE_LABELS[p.type][lang]}\n              </p>\n              <p className=\"vp-mono mt-1 flex gap-4 text-[11px] text-ink-2\">\n                <span>\n                  12&nbsp;{fr ? \"mois\" : \"mo\"}&nbsp;\n                  <b className=\"vp-display text-[14px]\">\n                    <Pct v={p.pct12m} />\n                  </b>\n                </span>\n                <span>\n                  2021→&nbsp;\n                  <b className=\"vp-display text-[14px]\">\n                    <Pct v={p.since2021} digits={0} />\n                  </b>\n                </span>\n              </p>\n            </div>\n          ))}\n        </div>\n      </section>\n\n      {/* ================= VENTES RÉELLES — flux prix-d'abord ================= */}\n      {recent.length > 0 && (\n        <section className=\"mt-14\">\n          <SectionHead\n            num=\"02\"\n            kicker={fr ? \"Flux en continu\" : \"Live feed\"}\n            title={fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}\n            lede={\n              fr\n                ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Chaque vente mène à l'estimation complète de la propriété.\"\n                : \"Published transactions, automatically matched to their assessment unit. Each sale leads to the property's full estimate.\"\n            }\n          />\n          <div className=\"mt-5\">\n            {recent.map((s) => {\n              const inner = (\n                <div className=\"flex flex-wrap items-baseline gap-x-4 gap-y-1 sm:flex-nowrap\">\n                  {/* le prix d'abord — la donnée mène */}\n                  <p className=\"vp-display w-full text-[22px] font-bold leading-none tracking-[-0.02em] sm:w-[168px] sm:shrink-0 sm:text-[20px]\">\n                    {money(s.amount)}\n                  </p>\n                  <div className=\"min-w-0 flex-1\">\n                    <p className=\"truncate text-[14.5px] font-semibold leading-snug\">\n                      {s.street}\n                      {s.city ? `, ${s.city}` : \"\"}\n                    </p>\n                    <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n                      {dateFmt(s.date)}\n                      {s.propertyType && s.propertyType !== \"indéterminé\" ? ` · ${s.propertyType}` : \"\"}\n                      {s.vsRolePct != null && Math.abs(s.vsRolePct) < 400 && (\n                        <>\n                          {\" · \"}\n                          <span className={s.vsRolePct >= 0 ? \"text-ink-2\" : \"text-[var(--danger)]\"}>\n                            {s.vsRolePct >= 0 ? \"+\" : \"−\"}\n                            {Math.abs(s.vsRolePct).toFixed(0)} % {fr ? \"vs rôle\" : \"vs roll\"}\n                          </span>\n                        </>\n                      )}\n                    </p>\n                  </div>\n                  {s.idProvinc && (\n                    <p className=\"vp-mono shrink-0 text-[10.5px] font-bold uppercase tracking-[0.08em] text-accent\">\n                      {fr ? \"Voir l'estimation\" : \"See the estimate\"} →\n                    </p>\n                  )}\n                </div>\n              );\n              return s.idProvinc ? (\n                <Link key={s.id} href={`/estimation/${encodeURIComponent(s.idProvinc)}`} className=\"feed-row\">\n                  {inner}\n                </Link>\n              ) : (\n                <div key={s.id} className=\"feed-row\">\n                  {inner}\n                </div>\n              );\n            })}\n          </div>\n        </section>\n      )}\n\n      {/* ================= LE CALCUL, MONTRÉ — promesse centrale ================= */}\n      <section className=\"mt-14\">\n        <SectionHead\n          num=\"03\"\n          kicker={fr ? \"Sans boîte noire\" : \"No black box\"}\n          title={fr ? \"Voici exactement comment le prix est calculé\" : \"Here is exactly how the price is computed\"}\n        />\n        <div className=\"mt-6 grid gap-10 lg:grid-cols-[1.2fr_1fr]\">\n          <ol className=\"tl\">\n            {(fr\n              ? [\n                  [\"Propriété identifiée\", \"3,7 M d'unités d'évaluation géoréférencées (MAMH).\"],\n                  [\"Rôle d'évaluation récupéré\", \"Valeurs terrain + bâtiment, six millésimes 2021-2026.\"],\n                  [\"Ventes comparables sélectionnées\", \"Rayon adaptatif, même famille de type, aire ±20 %.\"],\n                  [\"Caractéristiques ajustées\", \"Marché, superficie, âge — chaque ajustement affiché en dollars.\"],\n                  [\"Estimation calculée\", \"65 % modèle hédonique + 35 % comparables pondérés.\"],\n                  [\"Intervalle de confiance produit\", \"Fourchette P10-P90 et indice A-D, toujours affichés.\"],\n                ]\n              : [\n                  [\"Property identified\", \"3.7M georeferenced assessment units (MAMH).\"],\n                  [\"Assessment roll retrieved\", \"Land + building values, six vintages 2021-2026.\"],\n                  [\"Comparable sales selected\", \"Adaptive radius, same type family, area ±20%.\"],\n                  [\"Characteristics adjusted\", \"Market, area, age — every adjustment shown in dollars.\"],\n                  [\"Estimate computed\", \"65% hedonic model + 35% weighted comparables.\"],\n                  [\"Confidence interval produced\", \"P10-P90 range and A-D index, always shown.\"],\n                ]\n            ).map(([title, body], i, arr) => (\n              <li key={title} className=\"tl-step\" data-accent={i === arr.length - 1 ? \"true\" : undefined}>\n                <p className=\"vp-display flex items-baseline gap-2.5 text-[15px] font-bold uppercase tracking-[-0.01em]\">\n                  <span className=\"vp-mono text-[10.5px] font-bold text-accent\">0{i + 1}</span>\n                  {title}\n                </p>\n                <p className=\"mt-1 text-[13px] leading-snug text-ink-2\">{body}</p>\n              </li>\n            ))}\n          </ol>\n          <div>\n            {(lang === \"fr\"\n              ? [\n                  [\"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],\n                  [\"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],\n                  [\"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],\n                ]\n              : [\n                  [\"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],\n                  [\"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],\n                  [\"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],\n                ]\n            ).map(([title, body]) => (\n              <div key={title} className=\"border-t border-[var(--line)] py-4 first:border-t-0 first:pt-0\">\n                <h3 className=\"vp-display text-[15px] font-bold uppercase tracking-[-0.01em]\">{title}</h3>\n                <p className=\"mt-1.5 text-[13px] leading-snug text-ink-2\">{body}</p>\n              </div>\n            ))}\n            <p className=\"vp-mono mt-2 border-t border-[var(--line)] pt-4 text-[11px] uppercase tracking-[0.06em]\">\n              <Link href=\"/methodologie\" className=\"border-b border-accent pb-px text-accent-deep hover:text-accent\">\n                {fr ? \"Méthodologie complète — niveau rapport technique\" : \"Full methodology — technical-report depth\"} →\n              </Link>\n            </p>\n          </div>\n        </div>\n      </section>\n\n      {/* ================= PLAN B — estimation sans adresse ================= */}\n      <section className=\"mt-14\">\n        <SectionHead\n          num=\"04\"\n          kicker={fr ? \"Plan B\" : \"Plan B\"}\n          title={t(\"manualTitle\")}\n        />\n        <div className=\"mt-6 max-w-3xl\">\n          <EstimateForm />\n        </div>\n      </section>\n    </div>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":20083,"cache_read_input_tokens":154708,"cache_creation":{"ephemeral_5m_input_tokens":20083,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2bd38521-4826-4d73-b9b5-9308d935b366","request_id":"req_011CeQ9zXusNf4LdCY8wZBta"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FjQrA3XxHqYjzvadNNTGeM","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d7be3f04-d794-44db-bde5-432777d00dc6","timestamp":"2026-08-25T21:14:08.102Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/HomeClient.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport SearchBox from \"@/components/SearchBox\";\nimport EstimateForm from \"@/components/EstimateForm\";\nimport { locNum, MarketPulseChart } from \"@/components/MetricViz\";\nimport { useLang } from \"@/components/LangContext\";\n\n/** Indice de marché d'un grand type — série + variations (calculé côté serveur). */\nexport interface PulseItem {\n  type: \"unifamilial\" | \"condo\" | \"plex\";\n  series: { month: string; idx: number }[];\n  pct12m: number | null;\n  since2021: number | null;\n}\n\n/** Vente réelle récente appariée à une unité d'évaluation. */\nexport interface RecentSaleItem {\n  id: string;\n  date: string;\n  amount: number;\n  street: string | null;\n  city: string | null;\n  propertyType: string | null;\n  idProvinc: string | null;\n  vsRolePct: number | null;\n}\n\nconst PULSE_LABELS: Record<PulseItem[\"type\"], { fr: string; en: string }> = {\n  unifamilial: { fr: \"Unifamiliale\", en: \"Single-family\" },\n  condo: { fr: \"Condo\", en: \"Condo\" },\n  plex: { fr: \"Plex\", en: \"Plex\" },\n};\n/* attribution FIXE des couleurs de série (jamais recyclée) */\nconst PULSE_COLORS: Record<PulseItem[\"type\"], string> = {\n  unifamilial: \"var(--chart-1)\",\n  condo: \"var(--chart-2)\",\n  plex: \"var(--chart-3)\",\n};\n\n/** Variation signée — l'encre porte le positif, le rouge danger le négatif. */\nfunction Pct({ v, digits = 1 }: { v: number | null; digits?: number }) {\n  if (v == null) return <span className=\"text-ink-3\">—</span>;\n  return (\n    <span className={v >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>\n      {v >= 0 ? \"+\" : \"−\"}\n      {Math.abs(v).toFixed(digits)}&nbsp;%\n    </span>\n  );\n}\n\n/** En-tête de section éditorial : filet fort, numéro mono rouge, titre display. */\nfunction SectionHead({\n  num,\n  kicker,\n  title,\n  lede,\n}: {\n  num: string;\n  kicker: string;\n  title: string;\n  lede?: string;\n}) {\n  return (\n    <header className=\"sec\">\n      <div className=\"flex flex-wrap items-baseline gap-x-4 gap-y-1\">\n        <span className=\"sec-num\">\n          {num} — {kicker}\n        </span>\n      </div>\n      <h2 className=\"vp-display mt-2 max-w-3xl text-[clamp(24px,3.6vw,36px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">\n        {title}\n      </h2>\n      {lede && <p className=\"mt-3 max-w-2xl text-[14.5px] leading-relaxed text-ink-2\">{lede}</p>}\n    </header>\n  );\n}\n\nconst PERIODS = [\n  { key: \"12\", months: 12, fr: \"12 mois\", en: \"12 mo\" },\n  { key: \"24\", months: 24, fr: \"24 mois\", en: \"24 mo\" },\n  { key: \"all\", months: null as number | null, fr: \"Depuis 2021\", en: \"Since 2021\" },\n] as const;\n\nexport default function HomeClient({\n  pulse,\n  recent,\n  salesLast30d,\n}: {\n  pulse: PulseItem[];\n  recent: RecentSaleItem[];\n  salesLast30d: number;\n}) {\n  const { lang, t } = useLang();\n  const fr = lang === \"fr\";\n  const [period, setPeriod] = useState<(typeof PERIODS)[number][\"key\"]>(\"24\");\n  const money = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(v);\n  const dateFmt = (d: string) =>\n    new Date(`${d}T12:00:00`).toLocaleDateString(fr ? \"fr-CA\" : \"en-CA\", {\n      day: \"numeric\",\n      month: \"short\",\n    });\n\n  const months = PERIODS.find((p) => p.key === period)?.months ?? 24;\n  const chartData = pulse.map((p) => ({\n    key: p.type,\n    label: PULSE_LABELS[p.type][lang],\n    color: PULSE_COLORS[p.type],\n    series: p.series,\n  }));\n\n  const proofs: [string, string][] = [\n    [\"3 747 008\", fr ? \"propriétés estimées\" : \"estimated properties\"],\n    [\"745 119\", fr ? \"ventes réelles 2021-2026\" : \"real sales 2021-2026\"],\n    [locNum(salesLast30d, lang, { maxFrac: 0 }), fr ? \"ventes captées / 30 jours\" : \"sales captured / 30 days\"],\n    [\"1 100\", fr ? \"municipalités couvertes\" : \"municipalities covered\"],\n  ];\n\n  return (\n    <div className=\"pb-6\">\n      {/* ================= HÉRO — terminal encre pleine largeur ================= */}\n      <section className=\"bleed vp-dark\">\n        <div className=\"mx-auto max-w-6xl px-4 pb-10 pt-12 sm:px-6 sm:pb-14 sm:pt-16\">\n          <span className=\"kicker !text-[var(--accent-bright)] [&::before]:!bg-[var(--accent-bright)]\">\n            {fr\n              ? \"Terminal public de valeur immobilière — Québec\"\n              : \"Public real-estate value terminal — Québec\"}\n          </span>\n          <h1 className=\"vp-display mt-4 text-[clamp(38px,8vw,92px)] font-bold uppercase leading-[0.95] tracking-[-0.035em]\">\n            {fr ? (\n              <>\n                La <span className=\"outline-txt\">vraie</span> valeur.\n                <br />\n                <span className=\"text-[var(--accent-bright)]\">Sans boîte noire.</span>\n              </>\n            ) : (\n              <>\n                The <span className=\"outline-txt\">true</span> value.\n                <br />\n                <span className=\"text-[var(--accent-bright)]\">No black box.</span>\n              </>\n            )}\n          </h1>\n          <p className=\"mt-5 max-w-xl text-[15.5px] leading-relaxed text-[rgba(245,243,238,0.72)]\">\n            {t(\"sub\")}\n          </p>\n\n          {/* -------- la recherche : l'action centrale de la page -------- */}\n          <div className=\"mt-9 max-w-3xl\">\n            <p className=\"vp-mono mb-1 text-[10.5px] font-medium uppercase tracking-[0.16em] text-[rgba(245,243,238,0.55)]\">\n              {fr ? \"Entrez une adresse au Québec\" : \"Enter a Québec address\"}\n            </p>\n            <SearchBox variant=\"hero\" />\n            <p className=\"vp-mono mt-2.5 text-[10px] uppercase tracking-[0.06em] text-[rgba(245,243,238,0.4)]\">\n              {t(\"dataNote\")}\n            </p>\n          </div>\n\n          {/* -------- preuves de profondeur de données, intégrées -------- */}\n          <div className=\"mt-10 grid grid-cols-2 gap-x-6 gap-y-5 border-t border-[rgba(245,243,238,0.16)] pt-6 sm:grid-cols-4\">\n            {proofs.map(([num, label], i) => (\n              <div key={label}>\n                <p className=\"vp-display flex items-baseline gap-2 text-[clamp(20px,2.6vw,28px)] font-bold leading-none tracking-[-0.02em] text-[var(--paper-on-ink)]\">\n                  {num}\n                  {i === 2 && (\n                    <span\n                      aria-hidden=\"true\"\n                      className=\"inline-block h-[7px] w-[7px] rounded-full bg-[var(--accent-bright)] [animation:pulse_2.4s_ease_infinite]\"\n                    />\n                  )}\n                </p>\n                <p className=\"vp-mono mt-1.5 text-[9.5px] uppercase tracking-[0.12em] text-[rgba(245,243,238,0.5)]\">\n                  {label}\n                </p>\n              </div>\n            ))}\n          </div>\n        </div>\n      </section>\n\n      {/* ============ le principe, en une ligne (pas de boîtes) ============ */}\n      <section className=\"border-b border-[var(--line)] py-6\">\n        <div className=\"grid gap-x-8 gap-y-4 sm:grid-cols-3\">\n          {(fr\n            ? [\n                [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],\n                [\"02\", \"Deux sources croisées\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],\n                [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D — le calcul montré en entier.\"],\n              ]\n            : [\n                [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],\n                [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],\n                [\"03\", \"Range + confidence\", \"P10-P90, A-D index — the full math, shown.\"],\n              ]\n          ).map(([num, title, body]) => (\n            <div key={num} className=\"flex items-start gap-3\">\n              <span className=\"vp-mono pt-[3px] text-[11px] font-bold text-accent\">{num}</span>\n              <p className=\"text-[13px] leading-snug text-ink-2\">\n                <span className=\"vp-display block text-[14px] font-bold uppercase tracking-[-0.01em] text-ink\">\n                  {title}\n                </span>\n                {body}\n              </p>\n            </div>\n          ))}\n        </div>\n      </section>\n\n      {/* ================= MARCHÉ — data visualization éditoriale ================= */}\n      <section className=\"mt-12\">\n        <SectionHead\n          num=\"01\"\n          kicker={fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}\n          title={fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}\n          lede={\n            fr\n              ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Trois grands types, une même échelle : base 100 au début de la période.\"\n              : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Three major types, one scale: base 100 at the period start.\"\n          }\n        />\n\n        {/* contrôles : période (une rangée, au-dessus du graphique) */}\n        <div className=\"mt-5 flex flex-wrap items-end justify-between gap-x-6 gap-y-2 border-b border-[var(--line)]\">\n          <div className=\"flex gap-5\">\n            {PERIODS.map((p) => (\n              <button\n                key={p.key}\n                type=\"button\"\n                className=\"vp-tab\"\n                aria-pressed={period === p.key}\n                onClick={() => setPeriod(p.key)}\n              >\n                {p[lang]}\n              </button>\n            ))}\n          </div>\n          {/* légende — l'identité ne repose jamais sur la couleur seule */}\n          <div className=\"flex flex-wrap gap-x-4 gap-y-1 pb-2\">\n            {chartData.map((s) => (\n              <span key={s.key} className=\"vp-mono flex items-center gap-1.5 text-[10px] uppercase tracking-[0.08em] text-ink-2\">\n                <span className=\"inline-block h-[2px] w-[14px]\" style={{ background: s.color }} />\n                {s.label}\n              </span>\n            ))}\n          </div>\n        </div>\n\n        <div className=\"mt-4\">\n          <MarketPulseChart data={chartData} lang={lang} months={months} />\n        </div>\n\n        {/* lecture par type : variations en colonnes de données */}\n        <div className=\"mt-5 grid gap-x-8 gap-y-3 border-t border-[var(--line)] pt-4 sm:grid-cols-3\">\n          {pulse.map((p) => (\n            <div key={p.type} className=\"flex items-baseline justify-between gap-4 sm:block\">\n              <p className=\"vp-mono flex items-center gap-1.5 text-[10.5px] font-bold uppercase tracking-[0.08em] text-ink\">\n                <span className=\"inline-block h-[2px] w-[12px]\" style={{ background: PULSE_COLORS[p.type] }} />\n                {PULSE_LABELS[p.type][lang]}\n              </p>\n              <p className=\"vp-mono mt-1 flex gap-4 text-[11px] text-ink-2\">\n                <span>\n                  12&nbsp;{fr ? \"mois\" : \"mo\"}&nbsp;\n                  <b className=\"vp-display text-[14px]\">\n                    <Pct v={p.pct12m} />\n                  </b>\n                </span>\n                <span>\n                  2021→&nbsp;\n                  <b className=\"vp-display text-[14px]\">\n                    <Pct v={p.since2021} digits={0} />\n                  </b>\n                </span>\n              </p>\n            </div>\n          ))}\n        </div>\n      </section>\n\n      {/* ================= VENTES RÉELLES — flux prix-d'abord ================= */}\n      {recent.length > 0 && (\n        <section className=\"mt-14\">\n          <SectionHead\n            num=\"02\"\n            kicker={fr ? \"Flux en continu\" : \"Live feed\"}\n            title={fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}\n            lede={\n              fr\n                ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Chaque vente mène à l'estimation complète de la propriété.\"\n                : \"Published transactions, automatically matched to their assessment unit. Each sale leads to the property's full estimate.\"\n            }\n          />\n          <div className=\"mt-5\">\n            {recent.map((s) => {\n              const inner = (\n                <div className=\"flex flex-wrap items-baseline gap-x-4 gap-y-1 sm:flex-nowrap\">\n                  {/* le prix d'abord — la donnée mène */}\n                  <p className=\"vp-display w-full text-[22px] font-bold leading-none tracking-[-0.02em] sm:w-[168px] sm:shrink-0 sm:text-[20px]\">\n                    {money(s.amount)}\n                  </p>\n                  <div className=\"min-w-0 flex-1\">\n                    <p className=\"truncate text-[14.5px] font-semibold leading-snug\">\n                      {s.street}\n                      {s.city ? `, ${s.city}` : \"\"}\n                    </p>\n                    <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n                      {dateFmt(s.date)}\n                      {s.propertyType && s.propertyType !== \"indéterminé\" ? ` · ${s.propertyType}` : \"\"}\n                      {s.vsRolePct != null && Math.abs(s.vsRolePct) < 400 && (\n                        <>\n                          {\" · \"}\n                          <span className={s.vsRolePct >= 0 ? \"text-ink-2\" : \"text-[var(--danger)]\"}>\n                            {s.vsRolePct >= 0 ? \"+\" : \"−\"}\n                            {Math.abs(s.vsRolePct).toFixed(0)} % {fr ? \"vs rôle\" : \"vs roll\"}\n                          </span>\n                        </>\n                      )}\n                    </p>\n                  </div>\n                  {s.idProvinc && (\n                    <p className=\"vp-mono shrink-0 text-[10.5px] font-bold uppercase tracking-[0.08em] text-accent\">\n                      {fr ? \"Voir l'estimation\" : \"See the estimate\"} →\n                    </p>\n                  )}\n                </div>\n              );\n              return s.idProvinc ? (\n                <Link key={s.id} href={`/estimation/${encodeURIComponent(s.idProvinc)}`} className=\"feed-row\">\n                  {inner}\n                </Link>\n              ) : (\n                <div key={s.id} className=\"feed-row\">\n                  {inner}\n                </div>\n              );\n            })}\n          </div>\n        </section>\n      )}\n\n      {/* ================= LE CALCUL, MONTRÉ — promesse centrale ================= */}\n      <section className=\"mt-14\">\n        <SectionHead\n          num=\"03\"\n          kicker={fr ? \"Sans boîte noire\" : \"No black box\"}\n          title={fr ? \"Voici exactement comment le prix est calculé\" : \"Here is exactly how the price is computed\"}\n        />\n        <div className=\"mt-6 grid gap-10 lg:grid-cols-[1.2fr_1fr]\">\n          <ol className=\"tl\">\n            {(fr\n              ? [\n                  [\"Propriété identifiée\", \"3,7 M d'unités d'évaluation géoréférencées (MAMH).\"],\n                  [\"Rôle d'évaluation récupéré\", \"Valeurs terrain + bâtiment, six millésimes 2021-2026.\"],\n                  [\"Ventes comparables sélectionnées\", \"Rayon adaptatif, même famille de type, aire ±20 %.\"],\n                  [\"Caractéristiques ajustées\", \"Marché, superficie, âge — chaque ajustement affiché en dollars.\"],\n                  [\"Estimation calculée\", \"65 % modèle hédonique + 35 % comparables pondérés.\"],\n                  [\"Intervalle de confiance produit\", \"Fourchette P10-P90 et indice A-D, toujours affichés.\"],\n                ]\n              : [\n                  [\"Property identified\", \"3.7M georeferenced assessment units (MAMH).\"],\n                  [\"Assessment roll retrieved\", \"Land + building values, six vintages 2021-2026.\"],\n                  [\"Comparable sales selected\", \"Adaptive radius, same type family, area ±20%.\"],\n                  [\"Characteristics adjusted\", \"Market, area, age — every adjustment shown in dollars.\"],\n                  [\"Estimate computed\", \"65% hedonic model + 35% weighted comparables.\"],\n                  [\"Confidence interval produced\", \"P10-P90 range and A-D index, always shown.\"],\n                ]\n            ).map(([title, body], i, arr) => (\n              <li key={title} className=\"tl-step\" data-accent={i === arr.length - 1 ? \"true\" : undefined}>\n                <p className=\"vp-display flex items-baseline gap-2.5 text-[15px] font-bold uppercase tracking-[-0.01em]\">\n                  <span className=\"vp-mono text-[10.5px] font-bold text-accent\">0{i + 1}</span>\n                  {title}\n                </p>\n                <p className=\"mt-1 text-[13px] leading-snug text-ink-2\">{body}</p>\n              </li>\n            ))}\n          </ol>\n          <div>\n            {(lang === \"fr\"\n              ? [\n                  [\"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],\n                  [\"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],\n                  [\"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],\n                ]\n              : [\n                  [\"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],\n                  [\"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],\n                  [\"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],\n                ]\n            ).map(([title, body]) => (\n              <div key={title} className=\"border-t border-[var(--line)] py-4 first:border-t-0 first:pt-0\">\n                <h3 className=\"vp-display text-[15px] font-bold uppercase tracking-[-0.01em]\">{title}</h3>\n                <p className=\"mt-1.5 text-[13px] leading-snug text-ink-2\">{body}</p>\n              </div>\n            ))}\n            <p className=\"vp-mono mt-2 border-t border-[var(--line)] pt-4 text-[11px] uppercase tracking-[0.06em]\">\n              <Link href=\"/methodologie\" className=\"border-b border-accent pb-px text-accent-deep hover:text-accent\">\n                {fr ? \"Méthodologie complète — niveau rapport technique\" : \"Full methodology — technical-report depth\"} →\n              </Link>\n            </p>\n          </div>\n        </div>\n      </section>\n\n      {/* ================= PLAN B — estimation sans adresse ================= */}\n      <section className=\"mt-14\">\n        <SectionHead\n          num=\"04\"\n          kicker={fr ? \"Plan B\" : \"Plan B\"}\n          title={t(\"manualTitle\")}\n        />\n        <div className=\"mt-6 max-w-3xl\">\n          <EstimateForm />\n        </div>\n      </section>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":1,"oldLines":9,"newStart":1,"newLines":10,"lines":[" // Auteur : Simon-Pierre Boucher — contact@spboucher.ai"," \"use client\";","+import { useState } from \"react\";"," import Link from \"next/link\";"," import SearchBox from \"@/components/SearchBox\";"," import EstimateForm from \"@/components/EstimateForm\";","-import { IndexSpark, locNum } from \"@/components/MetricViz\";","+import { locNum, MarketPulseChart } from \"@/components/MetricViz\";"," import { useLang } from \"@/components/LangContext\";"," "," /** Indice de marché d'un grand type — série + variations (calculé côté serveur). */"]},{"oldStart":31,"oldLines":21,"newStart":32,"newLines":57,"lines":["   condo: { fr: \"Condo\", en: \"Condo\" },","   plex: { fr: \"Plex\", en: \"Plex\" },"," };","+/* attribution FIXE des couleurs de série (jamais recyclée) */","+const PULSE_COLORS: Record<PulseItem[\"type\"], string> = {","+  unifamilial: \"var(--chart-1)\",","+  condo: \"var(--chart-2)\",","+  plex: \"var(--chart-3)\",","+};"," ","-function TrendBadge({ pct, label }: { pct: number | null; label: string }) {","-  if (pct == null) return null;","+/** Variation signée — l'encre porte le positif, le rouge danger le négatif. */","+function Pct({ v, digits = 1 }: { v: number | null; digits?: number }) {","+  if (v == null) return <span className=\"text-ink-3\">—</span>;","   return (","-    <span","-      className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${","-        pct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"","-      }`}","-    >","-      {label} {pct >= 0 ? \"+\" : \"\"}","-      {pct.toFixed(1)} %","+    <span className={v >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>","+      {v >= 0 ? \"+\" : \"−\"}","+      {Math.abs(v).toFixed(digits)}&nbsp;%","     </span>","   );"," }"," ","+/** En-tête de section éditorial : filet fort, numéro mono rouge, titre display. */","+function SectionHead({","+  num,","+  kicker,","+  title,","+  lede,","+}: {","+  num: string;","+  kicker: string;","+  title: string;","+  lede?: string;","+}) {","+  return (","+    <header className=\"sec\">","+      <div className=\"flex flex-wrap items-baseline gap-x-4 gap-y-1\">","+        <span className=\"sec-num\">","+          {num} — {kicker}","+        </span>","+      </div>","+      <h2 className=\"vp-display mt-2 max-w-3xl text-[clamp(24px,3.6vw,36px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">","+        {title}","+      </h2>","+      {lede && <p className=\"mt-3 max-w-2xl text-[14.5px] leading-relaxed text-ink-2\">{lede}</p>}","+    </header>","+  );","+}","+","+const PERIODS = [","+  { key: \"12\", months: 12, fr: \"12 mois\", en: \"12 mo\" },","+  { key: \"24\", months: 24, fr: \"24 mois\", en: \"24 mo\" },","+  { key: \"all\", months: null as number | null, fr: \"Depuis 2021\", en: \"Since 2021\" },","+] as const;","+"," export default function HomeClient({","   pulse,","   recent,"]},{"oldStart":57,"oldLines":6,"newStart":94,"newLines":7,"lines":[" }) {","   const { lang, t } = useLang();","   const fr = lang === \"fr\";","+  const [period, setPeriod] = useState<(typeof PERIODS)[number][\"key\"]>(\"24\");","   const money = (v: number) =>","     new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {","       style: \"currency\","]},{"oldStart":69,"oldLines":233,"newStart":107,"newLines":315,"lines":["       month: \"short\",","     });"," ","-  return (","-    <div className=\"pb-6 pt-10 sm:pt-14\">","-      {/* ---- Héros ---- */}","-      <section>","-        <span className=\"kicker\">","-          {lang === \"fr\" ? \"Québec · 2021-2026\" : \"Québec · 2021-2026\"}","-        </span>","-        <h1 className=\"vp-display mt-3 max-w-4xl text-[clamp(34px,6.4vw,72px)] font-bold uppercase leading-[0.98] tracking-[-0.035em]\">","-          {lang === \"fr\" ? (","-            <>","-              La <span className=\"outline-txt\">vraie</span> valeur.","-              <br />","-              <span className=\"hl\">Sans boîte noire.</span>","-            </>","-          ) : (","-            <>","-              The <span className=\"outline-txt\">true</span> value.","-              <br />","-              <span className=\"hl\">No black box.</span>","-            </>","-          )}","-        </h1>","-        <p className=\"mt-5 max-w-xl text-[16.5px] text-ink-2\">{t(\"sub\")}</p>","+  const months = PERIODS.find((p) => p.key === period)?.months ?? 24;","+  const chartData = pulse.map((p) => ({","+    key: p.type,","+    label: PULSE_LABELS[p.type][lang],","+    color: PULSE_COLORS[p.type],","+    series: p.series,","+  }));"," ","-        <div className=\"mt-7 flex gap-2.5 overflow-x-auto pb-1.5 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden\">","-          <span className=\"stat-chip\">","-            <span className=\"pulse\" />","-            <b>3 747 008</b> {lang === \"fr\" ? \"propriétés\" : \"properties\"}","-          </span>","-          <span className=\"stat-chip\">","-            <b>745 119</b> {lang === \"fr\" ? \"ventes réelles\" : \"real sales\"}","-          </span>","-          <span className=\"stat-chip\">","-            <b>{locNum(salesLast30d, lang, { maxFrac: 0 })}</b>{\" \"}","-            {lang === \"fr\" ? \"ventes captées / 30 j\" : \"sales captured / 30 d\"}","-          </span>","-          <span className=\"stat-chip\">","-            <b>1 100</b> {lang === \"fr\" ? \"municipalités\" : \"municipalities\"}","-          </span>","-          <span className=\"stat-chip\">","-            MdAPE <b>11 %</b>","-          </span>","-        </div>","-      </section>","+  const proofs: [string, string][] = [","+    [\"3 747 008\", fr ? \"propriétés estimées\" : \"estimated properties\"],","+    [\"745 119\", fr ? \"ventes réelles 2021-2026\" : \"real sales 2021-2026\"],","+    [locNum(salesLast30d, lang, { maxFrac: 0 }), fr ? \"ventes captées / 30 jours\" : \"sales captured / 30 days\"],","+    [\"1 100\", fr ? \"municipalités couvertes\" : \"municipalities covered\"],","+  ];"," ","-      {/* ---- Recherche ---- */}","-      <section className=\"mt-9\">","-        <div className=\"vp-card p-4 sm:p-5\">","-          <p className=\"klabel mb-2 pl-0.5\">","-            {lang === \"fr\" ? \"Adresse de la propriété\" : \"Property address\"}","+  return (","+    <div className=\"pb-6\">","+      {/* ================= HÉRO — terminal encre pleine largeur ================= */}","+      <section className=\"bleed vp-dark\">","+        <div className=\"mx-auto max-w-6xl px-4 pb-10 pt-12 sm:px-6 sm:pb-14 sm:pt-16\">","+          <span className=\"kicker !text-[var(--accent-bright)] [&::before]:!bg-[var(--accent-bright)]\">","+            {fr","+              ? \"Terminal public de valeur immobilière — Québec\"","+              : \"Public real-estate value terminal — Québec\"}","+          </span>","+          <h1 className=\"vp-display mt-4 text-[clamp(38px,8vw,92px)] font-bold uppercase leading-[0.95] tracking-[-0.035em]\">","+            {fr ? (","+              <>","+                La <span className=\"outline-txt\">vraie</span> valeur.","+                <br />","+                <span className=\"text-[var(--accent-bright)]\">Sans boîte noire.</span>","+              </>","+            ) : (","+              <>","+                The <span className=\"outline-txt\">true</span> value.","+                <br />","+                <span className=\"text-[var(--accent-bright)]\">No black box.</span>","+              </>","+            )}","+          </h1>","+          <p className=\"mt-5 max-w-xl text-[15.5px] leading-relaxed text-[rgba(245,243,238,0.72)]\">","+            {t(\"sub\")}","           </p>","-          <SearchBox />","+","+          {/* -------- la recherche : l'action centrale de la page -------- */}","+          <div className=\"mt-9 max-w-3xl\">","+            <p className=\"vp-mono mb-1 text-[10.5px] font-medium uppercase tracking-[0.16em] text-[rgba(245,243,238,0.55)]\">","+              {fr ? \"Entrez une adresse au Québec\" : \"Enter a Québec address\"}","+            </p>","+            <SearchBox variant=\"hero\" />","+            <p className=\"vp-mono mt-2.5 text-[10px] uppercase tracking-[0.06em] text-[rgba(245,243,238,0.4)]\">","+              {t(\"dataNote\")}","+            </p>","+          </div>","+","+          {/* -------- preuves de profondeur de données, intégrées -------- */}","+          <div className=\"mt-10 grid grid-cols-2 gap-x-6 gap-y-5 border-t border-[rgba(245,243,238,0.16)] pt-6 sm:grid-cols-4\">","+            {proofs.map(([num, label], i) => (","+              <div key={label}>","+                <p className=\"vp-display flex items-baseline gap-2 text-[clamp(20px,2.6vw,28px)] font-bold leading-none tracking-[-0.02em] text-[var(--paper-on-ink)]\">","+                  {num}","+                  {i === 2 && (","+                    <span","+                      aria-hidden=\"true\"","+                      className=\"inline-block h-[7px] w-[7px] rounded-full bg-[var(--accent-bright)] [animation:pulse_2.4s_ease_infinite]\"","+                    />","+                  )}","+                </p>","+                <p className=\"vp-mono mt-1.5 text-[9.5px] uppercase tracking-[0.12em] text-[rgba(245,243,238,0.5)]\">","+                  {label}","+                </p>","+              </div>","+            ))}","+          </div>","         </div>","-        <p className=\"vp-mono mt-2.5 pl-1 text-[11px] uppercase tracking-[0.06em] text-ink-3\">","-          {t(\"dataNote\")}","-        </p>","       </section>"," ","-      {/* ---- Comment ça marche (bande compacte) ---- */}","-      <section className=\"mt-10 grid gap-3 sm:grid-cols-3\">","-        {(fr","-          ? [","-              [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],","-              [\"02\", \"Le moteur croise deux sources\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],","-              [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D, rapport PDF — le calcul montré en entier.\"],","-            ]","-          : [","-              [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],","-              [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],","-              [\"03\", \"Range + confidence\", \"P10-P90, A-D index, PDF report — the full math, shown.\"],","-            ]","-        ).map(([num, title, body], i) => (","-          <div key={num} className=\"flex items-start gap-3 rounded-[10px] border-[1.5px] border-dashed border-[rgba(20,24,20,0.3)] bg-surface-2 p-4\">","-            <span className=\"vp-mono flex h-8 w-8 shrink-0 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[12px] font-bold text-lime\">","-              {num}","-            </span>","-            <div>","-              <p className=\"vp-display text-[14.5px] font-bold uppercase tracking-[-0.01em]\">","-                {title}","-                {i < 2 && <span className=\"ml-2 text-ink-3\">→</span>}","+      {/* ============ le principe, en une ligne (pas de boîtes) ============ */}","+      <section className=\"border-b border-[var(--line)] py-6\">","+        <div className=\"grid gap-x-8 gap-y-4 sm:grid-cols-3\">","+          {(fr","+            ? [","+                [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],","+                [\"02\", \"Deux sources croisées\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],","+                [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D — le calcul montré en entier.\"],","+              ]","+            : [","+                [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],","+                [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],","+                [\"03\", \"Range + confidence\", \"P10-P90, A-D index — the full math, shown.\"],","+              ]","+          ).map(([num, title, body]) => (","+            <div key={num} className=\"flex items-start gap-3\">","+              <span className=\"vp-mono pt-[3px] text-[11px] font-bold text-accent\">{num}</span>","+              <p className=\"text-[13px] leading-snug text-ink-2\">","+                <span className=\"vp-display block text-[14px] font-bold uppercase tracking-[-0.01em] text-ink\">","+                  {title}","+                </span>","+                {body}","               </p>","-              <p className=\"mt-1 text-[12.5px] leading-snug text-ink-2\">{body}</p>","             </div>","-          </div>","-        ))}","+          ))}","+        </div>","       </section>"," ","-      {/* ---- Pouls du marché ---- */}","-      <section className=\"mt-14\">","-        <span className=\"kicker\">{fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}</span>","-        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-          {fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}","-        </h2>","-        <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">","-          {fr","-            ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Base 100 il y a 24 mois.\"","-            : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Base 100 twenty-four months ago.\"}","-        </p>","-        <div className=\"mt-4 grid gap-4 sm:grid-cols-3\">","+      {/* ================= MARCHÉ — data visualization éditoriale ================= */}","+      <section className=\"mt-12\">","+        <SectionHead","+          num=\"01\"","+          kicker={fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}","+          title={fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}","+          lede={","+            fr","+              ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Trois grands types, une même échelle : base 100 au début de la période.\"","+              : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Three major types, one scale: base 100 at the period start.\"","+          }","+        />","+","+        {/* contrôles : période (une rangée, au-dessus du graphique) */}","+        <div className=\"mt-5 flex flex-wrap items-end justify-between gap-x-6 gap-y-2 border-b border-[var(--line)]\">","+          <div className=\"flex gap-5\">","+            {PERIODS.map((p) => (","+              <button","+                key={p.key}","+                type=\"button\"","+                className=\"vp-tab\"","+                aria-pressed={period === p.key}","+                onClick={() => setPeriod(p.key)}","+              >","+                {p[lang]}","+              </button>","+            ))}","+          </div>","+          {/* légende — l'identité ne repose jamais sur la couleur seule */}","+          <div className=\"flex flex-wrap gap-x-4 gap-y-1 pb-2\">","+            {chartData.map((s) => (","+              <span key={s.key} className=\"vp-mono flex items-center gap-1.5 text-[10px] uppercase tracking-[0.08em] text-ink-2\">","+                <span className=\"inline-block h-[2px] w-[14px]\" style={{ background: s.color }} />","+                {s.label}","+              </span>","+            ))}","+          </div>","+        </div>","+","+        <div className=\"mt-4\">","+          <MarketPulseChart data={chartData} lang={lang} months={months} />","+        </div>","+","+        {/* lecture par type : variations en colonnes de données */}","+        <div className=\"mt-5 grid gap-x-8 gap-y-3 border-t border-[var(--line)] pt-4 sm:grid-cols-3\">","           {pulse.map((p) => (","-            <div key={p.type} className=\"vp-card vp-card-hover p-5\">","-              <div className=\"flex items-center justify-between gap-2\">","-                <p className=\"vp-display text-[16px] font-bold uppercase tracking-[-0.01em]\">","-                  {PULSE_LABELS[p.type][lang]}","-                </p>","-                <TrendBadge pct={p.pct12m} label={fr ? \"12 mois\" : \"12 mo\"} />","-              </div>","-              <div className=\"mt-3\">","-                <IndexSpark series={p.series} />","-              </div>","-              {p.since2021 != null && (","-                <p className=\"vp-mono mt-2 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">","-                  {fr ? \"Depuis 2021\" : \"Since 2021\"} :{\" \"}","-                  <b className=\"text-ink\">","-                    {p.since2021 >= 0 ? \"+\" : \"\"}","-                    {p.since2021.toFixed(0)} %","+            <div key={p.type} className=\"flex items-baseline justify-between gap-4 sm:block\">","+              <p className=\"vp-mono flex items-center gap-1.5 text-[10.5px] font-bold uppercase tracking-[0.08em] text-ink\">","+                <span className=\"inline-block h-[2px] w-[12px]\" style={{ background: PULSE_COLORS[p.type] }} />","+                {PULSE_LABELS[p.type][lang]}","+              </p>","+              <p className=\"vp-mono mt-1 flex gap-4 text-[11px] text-ink-2\">","+                <span>","+                  12&nbsp;{fr ? \"mois\" : \"mo\"}&nbsp;","+                  <b className=\"vp-display text-[14px]\">","+                    <Pct v={p.pct12m} />","                   </b>","-                </p>","-              )}","+                </span>","+                <span>","+                  2021→&nbsp;","+                  <b className=\"vp-display text-[14px]\">","+                    <Pct v={p.since2021} digits={0} />","+                  </b>","+                </span>","+              </p>","             </div>","           ))}","         </div>","       </section>"," ","-      {/* ---- Dernières ventes captées ---- */}","+      {/* ================= VENTES RÉELLES — flux prix-d'abord ================= */}","       {recent.length > 0 && (","         <section className=\"mt-14\">","-          <span className=\"kicker\">","-            <span className=\"pulse\" style={{ width: 8, height: 8 }} />","-            {fr ? \"Flux en continu\" : \"Live feed\"}","-          </span>","-          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-            {fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}","-          </h2>","-          <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">","-            {fr","-              ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Cliquez pour voir l'estimation complète de la propriété vendue.\"","-              : \"Published transactions, automatically matched to their assessment unit. Click for the sold property's full estimate.\"}","-          </p>","-          <div className=\"src-wrap mt-4\">","-            <table className=\"src-table\">","-              <thead>","-                <tr>","-                  <th>{fr ? \"Date\" : \"Date\"}</th>","-                  <th>{fr ? \"Propriété\" : \"Property\"}</th>","-                  <th className=\"text-right\">{fr ? \"Prix de vente\" : \"Sale price\"}</th>","-                  <th className=\"text-right\"></th>","-                </tr>","-              </thead>","-              <tbody>","-                {recent.map((s) => (","-                  <tr key={s.id}>","-                    <td className=\"vp-mono whitespace-nowrap text-[12px] font-bold uppercase\">","+          <SectionHead","+            num=\"02\"","+            kicker={fr ? \"Flux en continu\" : \"Live feed\"}","+            title={fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}","+            lede={","+              fr","+                ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Chaque vente mène à l'estimation complète de la propriété.\"","+                : \"Published transactions, automatically matched to their assessment unit. Each sale leads to the property's full estimate.\"","+            }","+          />","+          <div className=\"mt-5\">","+            {recent.map((s) => {","+              const inner = (","+                <div className=\"flex flex-wrap items-baseline gap-x-4 gap-y-1 sm:flex-nowrap\">","+                  {/* le prix d'abord — la donnée mène */}","+                  <p className=\"vp-display w-full text-[22px] font-bold leading-none tracking-[-0.02em] sm:w-[168px] sm:shrink-0 sm:text-[20px]\">","+                    {money(s.amount)}","+                  </p>","+                  <div className=\"min-w-0 flex-1\">","+                    <p className=\"truncate text-[14.5px] font-semibold leading-snug\">","+                      {s.street}","+                      {s.city ? `, ${s.city}` : \"\"}","+                    </p>","+                    <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">","                       {dateFmt(s.date)}","-                    </td>","-                    <td>","-                      <p className=\"font-semibold leading-tight\">","-                        {s.street}","-                        {s.city ? `, ${s.city}` : \"\"}","-                      </p>","-                      {s.propertyType && s.propertyType !== \"indéterminé\" && (","-                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">","-                          {s.propertyType}","-                        </p>","-                      )}","-                    </td>","-                    <td className=\"text-right\">","-                      <span className=\"vp-display font-bold\">{money(s.amount)}</span>","+                      {s.propertyType && s.propertyType !== \"indéterminé\" ? ` · ${s.propertyType}` : \"\"}","                       {s.vsRolePct != null && Math.abs(s.vsRolePct) < 400 && (","-                        <p className=\"vp-mono mt-0.5 text-[10px] text-ink-3\">","-                          {s.vsRolePct >= 0 ? \"+\" : \"−\"}","-                          {Math.abs(s.vsRolePct).toFixed(0)} %{\" \"}","-                          {fr ? \"vs rôle\" : \"vs roll\"}","-                        </p>","+                        <>","+                          {\" · \"}","+                          <span className={s.vsRolePct >= 0 ? \"text-ink-2\" : \"text-[var(--danger)]\"}>","+                            {s.vsRolePct >= 0 ? \"+\" : \"−\"}","+                            {Math.abs(s.vsRolePct).toFixed(0)} % {fr ? \"vs rôle\" : \"vs roll\"}","+                          </span>","+                        </>","                       )}","-                    </td>","-                    <td className=\"text-right\">","-                      {s.idProvinc && (","-                        <Link","-                          href={`/estimation/${encodeURIComponent(s.idProvinc)}`}","-                          className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1.5 text-[11px] font-bold uppercase tracking-[0.04em] transition-colors hover:bg-lime\"","-                        >","-                          {fr ? \"Estimer\" : \"Estimate\"} →","-                        </Link>","-                      )}","-                    </td>","-                  </tr>","-                ))}","-              </tbody>","-            </table>","+                    </p>","+                  </div>","+                  {s.idProvinc && (","+                    <p className=\"vp-mono shrink-0 text-[10.5px] font-bold uppercase tracking-[0.08em] text-accent\">","+                      {fr ? \"Voir l'estimation\" : \"See the estimate\"} →","+                    </p>","+                  )}","+                </div>","+              );","+              return s.idProvinc ? (","+                <Link key={s.id} href={`/estimation/${encodeURIComponent(s.idProvinc)}`} className=\"feed-row\">","+                  {inner}","+                </Link>","+              ) : (","+                <div key={s.id} className=\"feed-row\">","+                  {inner}","+                </div>","+              );","+            })}","           </div>","         </section>","       )}"," ","-      {/* ---- Formulaire manuel ---- */}","+      {/* ================= LE CALCUL, MONTRÉ — promesse centrale ================= */}","       <section className=\"mt-14\">","-        <span className=\"kicker\">{lang === \"fr\" ? \"Plan B\" : \"Plan B\"}</span>","-        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-          {t(\"manualTitle\")}","-        </h2>","-        <div className=\"vp-card mt-4 p-4 sm:p-6\">","-          <EstimateForm />","+        <SectionHead","+          num=\"03\"","+          kicker={fr ? \"Sans boîte noire\" : \"No black box\"}","+          title={fr ? \"Voici exactement comment le prix est calculé\" : \"Here is exactly how the price is computed\"}","+        />","+        <div className=\"mt-6 grid gap-10 lg:grid-cols-[1.2fr_1fr]\">","+          <ol className=\"tl\">","+            {(fr","+              ? [","+                  [\"Propriété identifiée\", \"3,7 M d'unités d'évaluation géoréférencées (MAMH).\"],","+                  [\"Rôle d'évaluation récupéré\", \"Valeurs terrain + bâtiment, six millésimes 2021-2026.\"],","+                  [\"Ventes comparables sélectionnées\", \"Rayon adaptatif, même famille de type, aire ±20 %.\"],","+                  [\"Caractéristiques ajustées\", \"Marché, superficie, âge — chaque ajustement affiché en dollars.\"],","+                  [\"Estimation calculée\", \"65 % modèle hédonique + 35 % comparables pondérés.\"],","+                  [\"Intervalle de confiance produit\", \"Fourchette P10-P90 et indice A-D, toujours affichés.\"],","+                ]","+              : [","+                  [\"Property identified\", \"3.7M georeferenced assessment units (MAMH).\"],","+                  [\"Assessment roll retrieved\", \"Land + building values, six vintages 2021-2026.\"],","+                  [\"Comparable sales selected\", \"Adaptive radius, same type family, area ±20%.\"],","+                  [\"Characteristics adjusted\", \"Market, area, age — every adjustment shown in dollars.\"],","+                  [\"Estimate computed\", \"65% hedonic model + 35% weighted comparables.\"],","+                  [\"Confidence interval produced\", \"P10-P90 range and A-D index, always shown.\"],","+                ]","+            ).map(([title, body], i, arr) => (","+              <li key={title} className=\"tl-step\" data-accent={i === arr.length - 1 ? \"true\" : undefined}>","+                <p className=\"vp-display flex items-baseline gap-2.5 text-[15px] font-bold uppercase tracking-[-0.01em]\">","+                  <span className=\"vp-mono text-[10.5px] font-bold text-accent\">0{i + 1}</span>","+                  {title}","+                </p>","+                <p className=\"mt-1 text-[13px] leading-snug text-ink-2\">{body}</p>","+              </li>","+            ))}","+          </ol>","+          <div>","+            {(lang === \"fr\"","+              ? [","+                  [\"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],","+                  [\"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],","+                  [\"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],","+                ]","+              : [","+                  [\"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],","+                  [\"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],","+                  [\"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],","+                ]","+            ).map(([title, body]) => (","+              <div key={title} className=\"border-t border-[var(--line)] py-4 first:border-t-0 first:pt-0\">","+                <h3 className=\"vp-display text-[15px] font-bold uppercase tracking-[-0.01em]\">{title}</h3>","+                <p className=\"mt-1.5 text-[13px] leading-snug text-ink-2\">{body}</p>","+              </div>","+            ))}","+            <p className=\"vp-mono mt-2 border-t border-[var(--line)] pt-4 text-[11px] uppercase tracking-[0.06em]\">","+              <Link href=\"/methodologie\" className=\"border-b border-accent pb-px text-accent-deep hover:text-accent\">","+                {fr ? \"Méthodologie complète — niveau rapport technique\" : \"Full methodology — technical-report depth\"} →","+              </Link>","+            </p>","+          </div>","         </div>","       </section>"," ","-      {/* ---- Manifeste transparence ---- */}","-      <section className=\"mt-14 grid gap-4 sm:grid-cols-3\">","-        {(lang === \"fr\"","-          ? [","-              [\"01\", \"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],","-              [\"02\", \"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],","-              [\"03\", \"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],","-            ]","-          : [","-              [\"01\", \"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],","-              [\"02\", \"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],","-              [\"03\", \"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],","-            ]","-        ).map(([num, title, body]) => (","-          <div key={num} className=\"vp-card vp-card-hover p-5\">","-            <p className=\"vp-mono text-[11px] font-bold text-green\">{num}</p>","-            <h3 className=\"vp-display mt-1.5 text-[17px] font-bold uppercase tracking-[-0.01em]\">","-              {title}","-            </h3>","-            <p className=\"mt-2 text-[13.5px] text-ink-2\">{body}</p>","-          </div>","-        ))}","+      {/* ================= PLAN B — estimation sans adresse ================= */}","+      <section className=\"mt-14\">","+        <SectionHead","+          num=\"04\"","+          kicker={fr ? \"Plan B\" : \"Plan B\"}","+          title={t(\"manualTitle\")}","+        />","+        <div className=\"mt-6 max-w-3xl\">","+          <EstimateForm />","+        </div>","       </section>","     </div>","   );"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport Link from \"next/link\";\nimport SearchBox from \"@/components/SearchBox\";\nimport EstimateForm from \"@/components/EstimateForm\";\nimport { IndexSpark, locNum } from \"@/components/MetricViz\";\nimport { useLang } from \"@/components/LangContext\";\n\n/** Indice de marché d'un grand type — série + variations (calculé côté serveur). */\nexport interface PulseItem {\n  type: \"unifamilial\" | \"condo\" | \"plex\";\n  series: { month: string; idx: number }[];\n  pct12m: number | null;\n  since2021: number | null;\n}\n\n/** Vente réelle récente appariée à une unité d'évaluation. */\nexport interface RecentSaleItem {\n  id: string;\n  date: string;\n  amount: number;\n  street: string | null;\n  city: string | null;\n  propertyType: string | null;\n  idProvinc: string | null;\n  vsRolePct: number | null;\n}\n\nconst PULSE_LABELS: Record<PulseItem[\"type\"], { fr: string; en: string }> = {\n  unifamilial: { fr: \"Unifamiliale\", en: \"Single-family\" },\n  condo: { fr: \"Condo\", en: \"Condo\" },\n  plex: { fr: \"Plex\", en: \"Plex\" },\n};\n\nfunction TrendBadge({ pct, label }: { pct: number | null; label: string }) {\n  if (pct == null) return null;\n  return (\n    <span\n      className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${\n        pct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"\n      }`}\n    >\n      {label} {pct >= 0 ? \"+\" : \"\"}\n      {pct.toFixed(1)} %\n    </span>\n  );\n}\n\nexport default function HomeClient({\n  pulse,\n  recent,\n  salesLast30d,\n}: {\n  pulse: PulseItem[];\n  recent: RecentSaleItem[];\n  salesLast30d: number;\n}) {\n  const { lang, t } = useLang();\n  const fr = lang === \"fr\";\n  const money = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(v);\n  const dateFmt = (d: string) =>\n    new Date(`${d}T12:00:00`).toLocaleDateString(fr ? \"fr-CA\" : \"en-CA\", {\n      day: \"numeric\",\n      month: \"short\",\n    });\n\n  return (\n    <div className=\"pb-6 pt-10 sm:pt-14\">\n      {/* ---- Héros ---- */}\n      <section>\n        <span className=\"kicker\">\n          {lang === \"fr\" ? \"Québec · 2021-2026\" : \"Québec · 2021-2026\"}\n        </span>\n        <h1 className=\"vp-display mt-3 max-w-4xl text-[clamp(34px,6.4vw,72px)] font-bold uppercase leading-[0.98] tracking-[-0.035em]\">\n          {lang === \"fr\" ? (\n            <>\n              La <span className=\"outline-txt\">vraie</span> valeur.\n              <br />\n              <span className=\"hl\">Sans boîte noire.</span>\n            </>\n          ) : (\n            <>\n              The <span className=\"outline-txt\">true</span> value.\n              <br />\n              <span className=\"hl\">No black box.</span>\n            </>\n          )}\n        </h1>\n        <p className=\"mt-5 max-w-xl text-[16.5px] text-ink-2\">{t(\"sub\")}</p>\n\n        <div className=\"mt-7 flex gap-2.5 overflow-x-auto pb-1.5 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden\">\n          <span className=\"stat-chip\">\n            <span className=\"pulse\" />\n            <b>3 747 008</b> {lang === \"fr\" ? \"propriétés\" : \"properties\"}\n          </span>\n          <span className=\"stat-chip\">\n            <b>745 119</b> {lang === \"fr\" ? \"ventes réelles\" : \"real sales\"}\n          </span>\n          <span className=\"stat-chip\">\n            <b>{locNum(salesLast30d, lang, { maxFrac: 0 })}</b>{\" \"}\n            {lang === \"fr\" ? \"ventes captées / 30 j\" : \"sales captured / 30 d\"}\n          </span>\n          <span className=\"stat-chip\">\n            <b>1 100</b> {lang === \"fr\" ? \"municipalités\" : \"municipalities\"}\n          </span>\n          <span className=\"stat-chip\">\n            MdAPE <b>11 %</b>\n          </span>\n        </div>\n      </section>\n\n      {/* ---- Recherche ---- */}\n      <section className=\"mt-9\">\n        <div className=\"vp-card p-4 sm:p-5\">\n          <p className=\"klabel mb-2 pl-0.5\">\n            {lang === \"fr\" ? \"Adresse de la propriété\" : \"Property address\"}\n          </p>\n          <SearchBox />\n        </div>\n        <p className=\"vp-mono mt-2.5 pl-1 text-[11px] uppercase tracking-[0.06em] text-ink-3\">\n          {t(\"dataNote\")}\n        </p>\n      </section>\n\n      {/* ---- Comment ça marche (bande compacte) ---- */}\n      <section className=\"mt-10 grid gap-3 sm:grid-cols-3\">\n        {(fr\n          ? [\n              [\"01\", \"Cherchez l'adresse\", \"3,7 M d'unités d'évaluation, recherche tolérante aux fautes.\"],\n              [\"02\", \"Le moteur croise deux sources\", \"Modèle hédonique (690 k ventes) + comparables réels ajustés en dollars.\"],\n              [\"03\", \"Fourchette + confiance\", \"P10-P90, indice A-D, rapport PDF — le calcul montré en entier.\"],\n            ]\n          : [\n              [\"01\", \"Search the address\", \"3.7M assessment units, typo-tolerant search.\"],\n              [\"02\", \"Two sources, crossed\", \"Hedonic model (690k sales) + real comparables adjusted in dollars.\"],\n              [\"03\", \"Range + confidence\", \"P10-P90, A-D index, PDF report — the full math, shown.\"],\n            ]\n        ).map(([num, title, body], i) => (\n          <div key={num} className=\"flex items-start gap-3 rounded-[10px] border-[1.5px] border-dashed border-[rgba(20,24,20,0.3)] bg-surface-2 p-4\">\n            <span className=\"vp-mono flex h-8 w-8 shrink-0 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[12px] font-bold text-lime\">\n              {num}\n            </span>\n            <div>\n              <p className=\"vp-display text-[14.5px] font-bold uppercase tracking-[-0.01em]\">\n                {title}\n                {i < 2 && <span className=\"ml-2 text-ink-3\">→</span>}\n              </p>\n              <p className=\"mt-1 text-[12.5px] leading-snug text-ink-2\">{body}</p>\n            </div>\n          </div>\n        ))}\n      </section>\n\n      {/* ---- Pouls du marché ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">{fr ? \"Indice Vrai-Prix\" : \"Vrai-Prix index\"}</span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {fr ? \"Le pouls du marché québécois\" : \"The pulse of the Québec market\"}\n        </h2>\n        <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">\n          {fr\n            ? \"L'indice mensuel calculé sur les ventes réelles — celui-là même qui ajuste les comparables de chaque estimation. Base 100 il y a 24 mois.\"\n            : \"The monthly index built from real sales — the same one adjusting every estimate's comparables. Base 100 twenty-four months ago.\"}\n        </p>\n        <div className=\"mt-4 grid gap-4 sm:grid-cols-3\">\n          {pulse.map((p) => (\n            <div key={p.type} className=\"vp-card vp-card-hover p-5\">\n              <div className=\"flex items-center justify-between gap-2\">\n                <p className=\"vp-display text-[16px] font-bold uppercase tracking-[-0.01em]\">\n                  {PULSE_LABELS[p.type][lang]}\n                </p>\n                <TrendBadge pct={p.pct12m} label={fr ? \"12 mois\" : \"12 mo\"} />\n              </div>\n              <div className=\"mt-3\">\n                <IndexSpark series={p.series} />\n              </div>\n              {p.since2021 != null && (\n                <p className=\"vp-mono mt-2 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n                  {fr ? \"Depuis 2021\" : \"Since 2021\"} :{\" \"}\n                  <b className=\"text-ink\">\n                    {p.since2021 >= 0 ? \"+\" : \"\"}\n                    {p.since2021.toFixed(0)} %\n                  </b>\n                </p>\n              )}\n            </div>\n          ))}\n        </div>\n      </section>\n\n      {/* ---- Dernières ventes captées ---- */}\n      {recent.length > 0 && (\n        <section className=\"mt-14\">\n          <span className=\"kicker\">\n            <span className=\"pulse\" style={{ width: 8, height: 8 }} />\n            {fr ? \"Flux en continu\" : \"Live feed\"}\n          </span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {fr ? \"Dernières ventes réelles captées\" : \"Latest real sales captured\"}\n          </h2>\n          <p className=\"mt-2 max-w-2xl text-[14px] text-ink-2\">\n            {fr\n              ? \"Transactions publiées, appariées automatiquement à leur unité d'évaluation. Cliquez pour voir l'estimation complète de la propriété vendue.\"\n              : \"Published transactions, automatically matched to their assessment unit. Click for the sold property's full estimate.\"}\n          </p>\n          <div className=\"src-wrap mt-4\">\n            <table className=\"src-table\">\n              <thead>\n                <tr>\n                  <th>{fr ? \"Date\" : \"Date\"}</th>\n                  <th>{fr ? \"Propriété\" : \"Property\"}</th>\n                  <th className=\"text-right\">{fr ? \"Prix de vente\" : \"Sale price\"}</th>\n                  <th className=\"text-right\"></th>\n                </tr>\n              </thead>\n              <tbody>\n                {recent.map((s) => (\n                  <tr key={s.id}>\n                    <td className=\"vp-mono whitespace-nowrap text-[12px] font-bold uppercase\">\n                      {dateFmt(s.date)}\n                    </td>\n                    <td>\n                      <p className=\"font-semibold leading-tight\">\n                        {s.street}\n                        {s.city ? `, ${s.city}` : \"\"}\n                      </p>\n                      {s.propertyType && s.propertyType !== \"indéterminé\" && (\n                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                          {s.propertyType}\n                        </p>\n                      )}\n                    </td>\n                    <td className=\"text-right\">\n                      <span className=\"vp-display font-bold\">{money(s.amount)}</span>\n                      {s.vsRolePct != null && Math.abs(s.vsRolePct) < 400 && (\n                        <p className=\"vp-mono mt-0.5 text-[10px] text-ink-3\">\n                          {s.vsRolePct >= 0 ? \"+\" : \"−\"}\n                          {Math.abs(s.vsRolePct).toFixed(0)} %{\" \"}\n                          {fr ? \"vs rôle\" : \"vs roll\"}\n                        </p>\n                      )}\n                    </td>\n                    <td className=\"text-right\">\n                      {s.idProvinc && (\n                        <Link\n                          href={`/estimation/${encodeURIComponent(s.idProvinc)}`}\n                          className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1.5 text-[11px] font-bold uppercase tracking-[0.04em] transition-colors hover:bg-lime\"\n                        >\n                          {fr ? \"Estimer\" : \"Estimate\"} →\n                        </Link>\n                      )}\n                    </td>\n                  </tr>\n                ))}\n              </tbody>\n            </table>\n          </div>\n        </section>\n      )}\n\n      {/* ---- Formulaire manuel ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">{lang === \"fr\" ? \"Plan B\" : \"Plan B\"}</span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {t(\"manualTitle\")}\n        </h2>\n        <div className=\"vp-card mt-4 p-4 sm:p-6\">\n          <EstimateForm />\n        </div>\n      </section>\n\n      {/* ---- Manifeste transparence ---- */}\n      <section className=\"mt-14 grid gap-4 sm:grid-cols-3\">\n        {(lang === \"fr\"\n          ? [\n              [\"01\", \"Le calcul, montré\", \"Chaque ajustement de chaque comparable est affiché en dollars. Pas de score magique.\"],\n              [\"02\", \"Fourchette honnête\", \"Un prix unique est un mensonge statistique. On donne P10-P90 et un indice de confiance A-D.\"],\n              [\"03\", \"Données réelles\", \"Rôles fonciers officiels (MAMH) et ventes publiées — locales et récentes en priorité.\"],\n            ]\n          : [\n              [\"01\", \"The math, shown\", \"Every adjustment on every comparable is displayed in dollars. No magic score.\"],\n              [\"02\", \"Honest range\", \"A single price is a statistical lie. We give P10-P90 and an A-D confidence index.\"],\n              [\"03\", \"Real data\", \"Official assessment rolls (MAMH) and published sales — local and recent first.\"],\n            ]\n        ).map(([num, title, body]) => (\n          <div key={num} className=\"vp-card vp-card-hover p-5\">\n            <p className=\"vp-mono text-[11px] font-bold text-green\">{num}</p>\n            <h3 className=\"vp-display mt-1.5 text-[17px] font-bold uppercase tracking-[-0.01em]\">\n              {title}\n            </h3>\n            <p className=\"mt-2 text-[13.5px] text-ink-2\">{body}</p>\n          </div>\n        ))}\n      </section>\n    </div>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"52f2480f-aab3-4a2a-afbb-6b75b746d4c3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA7biWabEmUjwLKCRjy","type":"message","role":"assistant","content":[{"type":"text","text":"Mise à jour de `page.tsx` (séries complètes pour le toggle de période + section municipalités dans le nouveau langage) :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9193,"cache_read_input_tokens":174791,"cache_creation":{"ephemeral_5m_input_tokens":9193,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5da6511c-86e9-4eae-972f-91afdaeafd1b","request_id":"req_011CeQA7aKRen4w5Ad3DVULK"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA7biWabEmUjwLKCRjy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U8F2xuypSDejeUqaWVaJMc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx","old_string":"/** Séries d'indice par grand type — 25 derniers mois, avec variations. */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full.slice(-25);","new_string":"/** Séries d'indice par grand type — historique complet (le client fenêtre 12/24/tout). */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full;"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9193,"cache_read_input_tokens":174791,"cache_creation":{"ephemeral_5m_input_tokens":9193,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"29d02af0-d45b-4f00-a814-60d96b9d2542","request_id":"req_011CeQA7aKRen4w5Ad3DVULK"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U8F2xuypSDejeUqaWVaJMc","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"66ed5178-4410-4050-b99b-5c10723b23c9","timestamp":"2026-08-25T21:14:17.602Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx","oldString":"/** Séries d'indice par grand type — 25 derniers mois, avec variations. */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full.slice(-25);","newString":"/** Séries d'indice par grand type — historique complet (le client fenêtre 12/24/tout). */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full;","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\nimport type { Metadata } from \"next\";\nimport Link from \"next/link\";\nimport HomeClient, { type PulseItem, type RecentSaleItem } from \"./HomeClient\";\nimport stats from \"@/data/stats.json\";\nimport { getMarketIndex, recentSales, salesCountSince } from \"@/lib/db\";\nimport { moneyFr, slugify } from \"@/lib/seo\";\n\n// Le pouls du marché et les dernières ventes bougent au rythme du connecteur\n// (quotidien) — régénération ISR horaire, le reste de la page est stable.\nexport const revalidate = 3600;\n\nexport const metadata: Metadata = {\n  title: {\n    absolute: \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n  },\n  description:\n    \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n  alternates: { canonical: \"/\" },\n  openGraph: {\n    type: \"website\",\n    siteName: \"Vrai-Prix\",\n    locale: \"fr_CA\",\n    url: \"/\",\n    title:\n      \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n    description:\n      \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n  },\n};\n\nconst TOP_VILLES = (\n  stats as { par_ville: { ville: string; n: number; mediane: number | null }[] }\n).par_ville.slice(0, 24);\n\n/** Séries d'indice par grand type — 25 derniers mois, avec variations. */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full.slice(-25);\n    const last = full.length ? full[full.length - 1].idx : null;\n    const yearAgo = full.length >= 13 ? full[full.length - 13].idx : null;\n    const first = full.length >= 2 ? full[0].idx : null;\n    return {\n      type,\n      series,\n      pct12m:\n        last != null && yearAgo != null && yearAgo > 0\n          ? (last / yearAgo - 1) * 100\n          : null,\n      since2021:\n        last != null && first != null && first > 0 ? (last / first - 1) * 100 : null,\n    };\n  });\n}\n\nfunction buildRecent(): RecentSaleItem[] {\n  return recentSales(6).map((s) => ({\n    id: s.id,\n    date: s.date,\n    amount: s.amount,\n    street: s.street,\n    city: s.city,\n    propertyType: s.property_type,\n    idProvinc: s.id_provinc,\n    vsRolePct:\n      s.valeur_role != null && s.valeur_role > 0\n        ? (s.amount / s.valeur_role - 1) * 100\n        : null,\n  }));\n}\n\nfunction iso(d: Date): string {\n  return d.toISOString().slice(0, 10);\n}\n\nexport default function Home() {\n  const monthAgo = new Date();\n  monthAgo.setDate(monthAgo.getDate() - 30);\n  return (\n    <>\n      <HomeClient\n        pulse={buildPulse()}\n        recent={buildRecent()}\n        salesLast30d={salesCountSince(iso(monthAgo))}\n      />\n      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">Explorer par municipalité</span>\n        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">\n          La valeur des propriétés, ville par ville\n        </h2>\n        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">\n          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n          pour chacune des 1 097 municipalités du Québec.\n        </p>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"\n              >\n                <span className=\"font-medium group-hover:underline\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[11px] text-ink-2\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-5\">\n          <Link href=\"/municipalites\" className=\"btn btn-ghost\">\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":36,"oldLines":11,"newStart":36,"newLines":11,"lines":["   stats as { par_ville: { ville: string; n: number; mediane: number | null }[] }"," ).par_ville.slice(0, 24);"," ","-/** Séries d'indice par grand type — 25 derniers mois, avec variations. */","+/** Séries d'indice par grand type — historique complet (le client fenêtre 12/24/tout). */"," function buildPulse(): PulseItem[] {","   return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {","     const full = getMarketIndex(type);","-    const series = full.slice(-25);","+    const series = full;","     const last = full.length ? full[full.length - 1].idx : null;","     const yearAgo = full.length >= 13 ? full[full.length - 13].idx : null;","     const first = full.length >= 2 ? full[0].idx : null;"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA7biWabEmUjwLKCRjy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fq4LViJrVYV6FaHT9y3Uv2","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx","old_string":"      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">Explorer par municipalité</span>\n        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">\n          La valeur des propriétés, ville par ville\n        </h2>\n        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">\n          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n          pour chacune des 1 097 municipalités du Québec.\n        </p>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"\n              >\n                <span className=\"font-medium group-hover:underline\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[11px] text-ink-2\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-5\">\n          <Link href=\"/municipalites\" className=\"btn btn-ghost\">\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>","new_string":"      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <header className=\"sec\">\n          <span className=\"sec-num\">05 — Explorer par municipalité</span>\n          <h2 className=\"vp-display mt-2 max-w-3xl text-[clamp(24px,3.6vw,36px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">\n            La valeur des propriétés, ville par ville\n          </h2>\n          <p className=\"mt-3 max-w-2xl text-[14.5px] leading-relaxed text-ink-2\">\n            Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n            pour chacune des 1 097 municipalités du Québec.\n          </p>\n        </header>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-8 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.1)] py-2 text-[13.5px]\"\n              >\n                <span className=\"font-medium group-hover:text-accent-deep\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[10.5px] text-ink-3\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-6\">\n          <Link\n            href=\"/municipalites\"\n            className=\"vp-mono border-b border-accent pb-px text-[11px] uppercase tracking-[0.08em] text-accent-deep hover:text-accent\"\n          >\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9193,"cache_read_input_tokens":174791,"cache_creation":{"ephemeral_5m_input_tokens":9193,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e19dc834-6a61-471e-af61-616709a529b1","request_id":"req_011CeQA7aKRen4w5Ad3DVULK"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fq4LViJrVYV6FaHT9y3Uv2","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"86b3c8e0-fea8-4a68-be0b-08ed33e9e96a","timestamp":"2026-08-25T21:14:28.428Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/page.tsx","oldString":"      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">Explorer par municipalité</span>\n        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">\n          La valeur des propriétés, ville par ville\n        </h2>\n        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">\n          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n          pour chacune des 1 097 municipalités du Québec.\n        </p>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"\n              >\n                <span className=\"font-medium group-hover:underline\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[11px] text-ink-2\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-5\">\n          <Link href=\"/municipalites\" className=\"btn btn-ghost\">\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>","newString":"      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <header className=\"sec\">\n          <span className=\"sec-num\">05 — Explorer par municipalité</span>\n          <h2 className=\"vp-display mt-2 max-w-3xl text-[clamp(24px,3.6vw,36px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">\n            La valeur des propriétés, ville par ville\n          </h2>\n          <p className=\"mt-3 max-w-2xl text-[14.5px] leading-relaxed text-ink-2\">\n            Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n            pour chacune des 1 097 municipalités du Québec.\n          </p>\n        </header>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-8 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.1)] py-2 text-[13.5px]\"\n              >\n                <span className=\"font-medium group-hover:text-accent-deep\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[10.5px] text-ink-3\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-6\">\n          <Link\n            href=\"/municipalites\"\n            className=\"vp-mono border-b border-accent pb-px text-[11px] uppercase tracking-[0.08em] text-accent-deep hover:text-accent\"\n          >\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\nimport type { Metadata } from \"next\";\nimport Link from \"next/link\";\nimport HomeClient, { type PulseItem, type RecentSaleItem } from \"./HomeClient\";\nimport stats from \"@/data/stats.json\";\nimport { getMarketIndex, recentSales, salesCountSince } from \"@/lib/db\";\nimport { moneyFr, slugify } from \"@/lib/seo\";\n\n// Le pouls du marché et les dernières ventes bougent au rythme du connecteur\n// (quotidien) — régénération ISR horaire, le reste de la page est stable.\nexport const revalidate = 3600;\n\nexport const metadata: Metadata = {\n  title: {\n    absolute: \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n  },\n  description:\n    \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n  alternates: { canonical: \"/\" },\n  openGraph: {\n    type: \"website\",\n    siteName: \"Vrai-Prix\",\n    locale: \"fr_CA\",\n    url: \"/\",\n    title:\n      \"Vrai-Prix — estimation immobilière gratuite au Québec · Un service Groupe KA\",\n    description:\n      \"Estimez gratuitement la valeur de n'importe quelle propriété du Québec : 3,7 millions d'unités d'évaluation, 745 119 ventes réelles, fourchette honnête P10-P90 et calcul montré en entier.\",\n    images: [\n      { url: \"https://www.vrai-prix.com/og.png\", width: 1200, height: 630 },\n    ],\n  },\n};\n\nconst TOP_VILLES = (\n  stats as { par_ville: { ville: string; n: number; mediane: number | null }[] }\n).par_ville.slice(0, 24);\n\n/** Séries d'indice par grand type — historique complet (le client fenêtre 12/24/tout). */\nfunction buildPulse(): PulseItem[] {\n  return ([\"unifamilial\", \"condo\", \"plex\"] as const).map((type) => {\n    const full = getMarketIndex(type);\n    const series = full;\n    const last = full.length ? full[full.length - 1].idx : null;\n    const yearAgo = full.length >= 13 ? full[full.length - 13].idx : null;\n    const first = full.length >= 2 ? full[0].idx : null;\n    return {\n      type,\n      series,\n      pct12m:\n        last != null && yearAgo != null && yearAgo > 0\n          ? (last / yearAgo - 1) * 100\n          : null,\n      since2021:\n        last != null && first != null && first > 0 ? (last / first - 1) * 100 : null,\n    };\n  });\n}\n\nfunction buildRecent(): RecentSaleItem[] {\n  return recentSales(6).map((s) => ({\n    id: s.id,\n    date: s.date,\n    amount: s.amount,\n    street: s.street,\n    city: s.city,\n    propertyType: s.property_type,\n    idProvinc: s.id_provinc,\n    vsRolePct:\n      s.valeur_role != null && s.valeur_role > 0\n        ? (s.amount / s.valeur_role - 1) * 100\n        : null,\n  }));\n}\n\nfunction iso(d: Date): string {\n  return d.toISOString().slice(0, 10);\n}\n\nexport default function Home() {\n  const monthAgo = new Date();\n  monthAgo.setDate(monthAgo.getDate() - 30);\n  return (\n    <>\n      <HomeClient\n        pulse={buildPulse()}\n        recent={buildRecent()}\n        salesLast30d={salesCountSince(iso(monthAgo))}\n      />\n      {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}\n      <section className=\"mt-14\">\n        <span className=\"kicker\">Explorer par municipalité</span>\n        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">\n          La valeur des propriétés, ville par ville\n        </h2>\n        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">\n          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées\n          pour chacune des 1 097 municipalités du Québec.\n        </p>\n        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">\n          {TOP_VILLES.map((v) => (\n            <li key={v.ville}>\n              <Link\n                href={`/municipalite/${slugify(v.ville)}`}\n                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"\n              >\n                <span className=\"font-medium group-hover:underline\">\n                  {v.ville}\n                </span>\n                <span className=\"vp-mono text-[11px] text-ink-2\">\n                  {v.mediane != null ? moneyFr(v.mediane) : \"\"}\n                </span>\n              </Link>\n            </li>\n          ))}\n        </ul>\n        <p className=\"mt-5\">\n          <Link href=\"/municipalites\" className=\"btn btn-ghost\">\n            Toutes les municipalités →\n          </Link>\n        </p>\n      </section>\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":89,"oldLines":33,"newStart":89,"newLines":38,"lines":["       />","       {/* ---- Explorer par municipalité (maillage interne indexable) ---- */}","       <section className=\"mt-14\">","-        <span className=\"kicker\">Explorer par municipalité</span>","-        <h2 className=\"vp-display mt-3 text-[clamp(22px,3.6vw,34px)] font-bold uppercase leading-[1.05] tracking-[-0.03em]\">","-          La valeur des propriétés, ville par ville","-        </h2>","-        <p className=\"mt-3 max-w-2xl text-[15px] text-ink-2\">","-          Statistiques d&apos;évaluation, valeur médiane et propriétés estimées","-          pour chacune des 1 097 municipalités du Québec.","-        </p>","-        <ul className=\"mt-6 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3 lg:grid-cols-4\">","+        <header className=\"sec\">","+          <span className=\"sec-num\">05 — Explorer par municipalité</span>","+          <h2 className=\"vp-display mt-2 max-w-3xl text-[clamp(24px,3.6vw,36px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">","+            La valeur des propriétés, ville par ville","+          </h2>","+          <p className=\"mt-3 max-w-2xl text-[14.5px] leading-relaxed text-ink-2\">","+            Statistiques d&apos;évaluation, valeur médiane et propriétés estimées","+            pour chacune des 1 097 municipalités du Québec.","+          </p>","+        </header>","+        <ul className=\"mt-6 grid grid-cols-2 gap-x-8 sm:grid-cols-3 lg:grid-cols-4\">","           {TOP_VILLES.map((v) => (","             <li key={v.ville}>","               <Link","                 href={`/municipalite/${slugify(v.ville)}`}","-                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.12)] py-1.5 text-[14px]\"","+                className=\"group flex items-baseline justify-between gap-2 border-b border-[rgba(20,24,20,0.1)] py-2 text-[13.5px]\"","               >","-                <span className=\"font-medium group-hover:underline\">","+                <span className=\"font-medium group-hover:text-accent-deep\">","                   {v.ville}","                 </span>","-                <span className=\"vp-mono text-[11px] text-ink-2\">","+                <span className=\"vp-mono text-[10.5px] text-ink-3\">","                   {v.mediane != null ? moneyFr(v.mediane) : \"\"}","                 </span>","               </Link>","             </li>","           ))}","         </ul>","-        <p className=\"mt-5\">","-          <Link href=\"/municipalites\" className=\"btn btn-ghost\">","+        <p className=\"mt-6\">","+          <Link","+            href=\"/municipalites\"","+            className=\"vp-mono border-b border-accent pb-px text-[11px] uppercase tracking-[0.08em] text-accent-deep hover:text-accent\"","+          >","             Toutes les municipalités →","           </Link>","         </p>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d7b2bd61-0dd9-46b3-a1f1-404a596f061c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"37501e9e-f259-49a1-ad40-2207bc5f6da1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":153,"estimated_tokens_delta":53,"uuid":"84fa5857-3ba9-489d-a6c1-52b8588dfd6a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA96qVbjV6PVGgCxxes","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1986,"cache_read_input_tokens":183984,"cache_creation":{"ephemeral_5m_input_tokens":1986,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bee8ecff-69f4-482a-b452-53ac2a724144","request_id":"req_011CeQA95B2iu4niDSuJgiXJ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA96qVbjV6PVGgCxxes","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X3g95e99X6KWneet8Zc833","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","old_string":"  --color-accent: var(--accent);","new_string":"  --color-accent: var(--accent);\n  --color-accent-deep: var(--accent-deep);\n  --color-accent-bright: var(--accent-bright);"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1986,"cache_read_input_tokens":183984,"cache_creation":{"ephemeral_5m_input_tokens":1986,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"cc878299-40fa-4b97-b26d-f06f9ae404ed","request_id":"req_011CeQA95B2iu4niDSuJgiXJ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X3g95e99X6KWneet8Zc833","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8abe5665-9859-4cbc-b6cc-8eef11278fee","timestamp":"2026-08-25T21:14:34.765Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","oldString":"  --color-accent: var(--accent);","newString":"  --color-accent: var(--accent);\n  --color-accent-deep: var(--accent-deep);\n  --color-accent-bright: var(--accent-bright);","originalFile":"/* -----------------------------------------------------------------------------\n  Vrai-Prix — estimation immobilière transparente (Québec)\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Système de design « terminal éditorial » v2 — Bloomberg × FT data × institutionnel :\n    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Signature : filets fins (hairlines), grands chiffres, compositions asymétriques,\n      encre profonde + rouge signal réservé à l'information importante\n    · Zéro ombre décalée, zéro pilule, radius 0-2 px — la donnée fait le décor\n----------------------------------------------------------------------------- */\n@import \"tailwindcss\";\n/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n   des titres (règles éléments non-layered > utilitaires layered). */\n@import \"../ka/tokens.css\" layer(base);\n\n:root {\n  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n  --accent: #d8372e;        /* rouge signal éditorial (lisible sur papier) */\n  --accent-bright: #ff5148; /* rouge vif — marqueurs, points de donnée sur encre */\n  --accent-soft: #ffe3e0;\n  --accent-deep: #9e2a25;\n  --on-accent: #ffffff;\n\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-soft: rgba(20, 24, 20, 0.08);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #9e2a25;\n  --green-deep: #771f1b;\n  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n  --lime-soft: var(--accent-soft);\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n  /* série de graphiques (palette validée : CVD 28,6 · contraste ≥3:1) */\n  --chart-1: #141814; /* unifamiliale */\n  --chart-2: #d8372e; /* condo */\n  --chart-3: #6b736d; /* plex */\n  --r-card: 2px;\n  --r-ctl: 2px;\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  /* ombres décalées héritées — aplaties : le v2 ne porte aucune ombre dure */\n  --shadow-off: 0 1px 2px rgba(20, 24, 20, 0.08);\n  --shadow-off-soft: none;\n  --shadow-off-mid: 0 1px 2px rgba(20, 24, 20, 0.08);\n  /* encre légèrement plus profonde pour les aplats pleine largeur */\n  --ink-deep: #101410;\n  --paper-on-ink: #edeae2;\n}\n\n@theme inline {\n  --color-paper: var(--paper);\n  --color-surface: var(--surface);\n  --color-surface-2: var(--surface-2);\n  --color-ink: var(--ink);\n  --color-ink-2: var(--ink-2);\n  --color-ink-3: var(--ink-3);\n  --color-green: var(--green);\n  --color-green-deep: var(--green-deep);\n  --color-lime: var(--lime);\n  --color-lime-soft: var(--lime-soft);\n  --color-amber: var(--amber);\n  --color-amber-soft: var(--amber-soft);\n  --color-danger: var(--danger);\n  --color-accent: var(--accent);\n  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n  --font-body: var(--font-inter), system-ui, sans-serif;\n  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n}\n\n/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n   design local dimensionne les siens via utilitaires → on rétablit le\n   comportement preflight (même layer, source postérieure = prioritaire). */\n@layer base {\n  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n}\n\nhtml { scroll-behavior: smooth; }\nbody {\n  background: var(--paper);\n  color: var(--ink);\n  font-family: var(--font-inter), system-ui, sans-serif;\n  font-size: 15px;\n  line-height: 1.55;\n  -webkit-font-smoothing: antialiased;\n  padding-bottom: env(safe-area-inset-bottom);\n}\n/* grain subtil — texture signature (discret, presque imperceptible) */\nbody::before {\n  content: \"\";\n  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.22;\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n}\n/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\nbody > * { position: relative; }\n\nh1, h2, h3, h4 {\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n  letter-spacing: -0.03em;\n}\n::selection { background: var(--ink); color: var(--paper); }\n\n/* ---------- primitives signature ---------- */\n.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n\n/* pleine largeur depuis un conteneur centré (héro, bandes encre) */\n.bleed { width: 100vw; margin-left: calc(50% - 50vw); }\n\n/* aplat encre : héro, blocs terminal */\n.vp-dark { background: var(--ink-deep); color: var(--paper-on-ink); }\n.vp-dark ::selection { background: var(--accent-bright); color: var(--ink); }\n\n.kicker {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 500; text-transform: uppercase;\n  letter-spacing: 0.16em; color: var(--accent);\n  display: inline-flex; align-items: center; gap: 9px;\n}\n.kicker::before { content: \"\"; width: 20px; height: 1.5px; background: var(--accent); }\n\n.klabel {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em;\n  color: var(--ink-3); font-weight: 500;\n}\n\n/* en-tête de section éditorial : filet fort + numéro mono */\n.sec {\n  border-top: 2px solid var(--ink);\n  padding-top: 14px;\n}\n.sec-num {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 700; color: var(--accent);\n  letter-spacing: 0.1em;\n}\n\n/* carte héritée — aplatie : surface + hairline, aucune ombre */\n.vp-card {\n  background: var(--surface);\n  border: 1px solid var(--line);\n  border-radius: var(--r-card);\n  box-shadow: none;\n}\n.vp-card-hover { transition: border-color 0.15s ease; }\n.vp-card-hover:hover { transform: none; box-shadow: none; border-color: var(--line-strong); }\n\n/* champ : soulignement éditorial (le cadre disparaît) */\n.vp-input {\n  border: 0; border-bottom: 1px solid var(--line-strong); background: transparent;\n  border-radius: 0; padding: 10px 2px; font-size: 15px;\n  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n  appearance: none; -webkit-appearance: none;\n}\n.vp-input::placeholder { color: var(--ink-3); }\n.vp-input:focus { border-color: var(--accent); box-shadow: 0 1px 0 var(--accent); }\nselect.vp-input {\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n  background-repeat: no-repeat; background-position: right 6px center; padding-right: 26px;\n}\n@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n\n.btn {\n  border: 1px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 22px;\n  font-weight: 600; font-size: 13.5px; cursor: pointer; min-height: 44px;\n  transition: background 0.15s ease, color 0.15s ease, border-color 0.15s ease;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.02em;\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n}\n.btn:active { opacity: 0.85; }\n.btn-primary { background: var(--ink); color: var(--paper); }\n.btn-primary:hover { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-ghost { background: transparent; color: var(--ink); border-color: var(--line-strong); }\n.btn-ghost:hover { border-color: var(--accent); color: var(--accent-deep); }\n.btn-accent { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-accent:hover { background: var(--accent-deep); border-color: var(--accent-deep); }\n\n/* preuve de données : chiffre fort + libellé mono, séparés par filets */\n.stat-chip {\n  background: transparent; border: 0; border-left: 1px solid var(--line);\n  border-radius: 0; padding: 2px 0 2px 14px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-2); display: inline-flex; gap: 7px; align-items: baseline;\n  box-shadow: none; white-space: nowrap;\n}\n.stat-chip:first-child { border-left: 0; padding-left: 0; }\n.stat-chip b {\n  color: var(--ink); font-weight: 700; font-size: 15px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: -0.01em;\n}\n.stat-chip .pulse {\n  width: 7px; height: 7px; border-radius: 50%; background: var(--accent);\n  align-self: center; animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 5px rgba(216, 55, 46, 0.18); } }\n\n/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */\n.hl {\n  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 1.5px var(--ink); }\n.vp-dark .outline-txt { -webkit-text-stroke: 1.5px var(--paper-on-ink); }\n\n/* ticker — bande de cotation (signature terminal) */\n.ticker {\n  background: var(--ink-deep); color: var(--paper-on-ink); overflow: hidden;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; letter-spacing: 0.09em; text-transform: uppercase;\n  padding: 6px 0; white-space: nowrap;\n}\n.ticker-track { display: inline-flex; animation: ticker 48s linear infinite; will-change: transform; }\n.ticker span { padding: 0 24px; position: relative; opacity: 0.85; }\n.ticker span::after { content: \"\"; position: absolute; right: -2px; top: 50%; width: 4px; height: 4px; transform: translateY(-50%) rotate(45deg); background: var(--accent-bright); opacity: 0.8; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n  .ticker-track { animation: none; }\n  * { transition-duration: 0.01ms !important; }\n}\n\n/* kv cells (fiche) — cellule de données éditoriale : filet haut, pas de boîte */\n.kv-cell {\n  background: transparent; border: 0; border-top: 1px solid var(--line);\n  border-radius: 0; padding: 8px 2px 2px;\n}\n.kv-cell .k {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 500;\n}\n.kv-cell .v {\n  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n}\n\n/* pills (indice de confiance) — carrés, fins */\n.pill {\n  display: inline-block; border-radius: 2px; padding: 3px 9px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n}\n.pill-conf-A { background: var(--ink); color: var(--paper); border: 1px solid var(--ink); }\n.pill-conf-B { background: transparent; color: var(--ink); border: 1px solid var(--line-strong); }\n.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n\n/* tableau éditorial — filets fins, en-tête discret, zéro cadre épais */\n.src-wrap {\n  overflow-x: auto; border: 0; border-top: 2px solid var(--ink); border-radius: 0;\n  box-shadow: none; background: transparent;\n}\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n.src-table th {\n  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n  padding: 10px 12px 8px; border-bottom: 1px solid var(--line-strong); background: transparent;\n  white-space: nowrap; font-weight: 500;\n}\n.src-table td { padding: 12px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--surface-2); }\n\n/* flux de ventes (accueil) — rangée prix-d'abord */\n.feed-row {\n  display: block; border-bottom: 1px solid var(--line); padding: 14px 2px;\n  transition: background 0.12s ease;\n}\n.feed-row:hover { background: var(--surface-2); }\n\n/* onglets de contrôle (période / catégorie) */\n.vp-tab {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-3); padding: 8px 2px 6px; border: 0; background: transparent;\n  border-bottom: 2px solid transparent; cursor: pointer; min-height: 34px;\n  transition: color 0.12s ease, border-color 0.12s ease;\n}\n.vp-tab:hover { color: var(--ink); }\n.vp-tab[aria-pressed=\"true\"], .vp-tab[aria-selected=\"true\"] {\n  color: var(--ink); border-bottom-color: var(--accent);\n}\n\n/* infobulle de graphique */\n.vv-tip {\n  position: absolute; pointer-events: none; z-index: 5;\n  background: var(--ink-deep); color: var(--paper-on-ink);\n  border-radius: 2px; padding: 8px 10px; min-width: 130px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace; font-size: 10.5px;\n  box-shadow: 0 2px 10px rgba(20, 24, 20, 0.25);\n}\n.vv-tip .row { display: flex; align-items: center; justify-content: space-between; gap: 12px; padding: 1.5px 0; }\n.vv-tip .key { display: inline-block; width: 10px; height: 2px; margin-right: 6px; vertical-align: middle; }\n.vv-tip .val { font-weight: 700; color: #fff; }\n\n/* timeline méthodologie */\n.tl { position: relative; padding-left: 26px; }\n.tl::before {\n  content: \"\"; position: absolute; left: 7px; top: 6px; bottom: 6px;\n  width: 1px; background: var(--line-strong);\n}\n.tl-step { position: relative; padding: 0 0 26px; }\n.tl-step:last-child { padding-bottom: 0; }\n.tl-step::before {\n  content: \"\"; position: absolute; left: -24px; top: 5px; width: 9px; height: 9px;\n  background: var(--paper); border: 1.5px solid var(--ink); border-radius: 50%;\n}\n.tl-step[data-accent=\"true\"]::before { background: var(--accent); border-color: var(--accent); }\n\n/* animations de révélation */\n@keyframes rise {\n  from { opacity: 0; transform: translateY(10px); }\n  to { opacity: 1; transform: none; }\n}\n.rise { animation: rise 0.5s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes growX { from { transform: scaleX(0); } }\n.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes winPop { from { opacity: 0; } }\n.vv-win { animation: winPop 0.4s ease both; }\n@media (prefers-reduced-motion: reduce) {\n  .rise, .grow-x, .vv-win { animation: none; }\n}\n\n/* barres horizontales (historique) — fines, encre, millésime courant en rouge */\n.hbar-track { background: var(--line-soft); border-radius: 0; height: 12px; overflow: hidden; }\n.hbar-fill {\n  display: block; height: 100%; background: var(--ink); border-radius: 0;\n  min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--accent); }\n\n\n/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n.vpm-wrap {\n  position: relative;\n  height: 62vh;\n  min-height: 420px;\n  width: 100%;\n  border: 1px solid var(--line-strong);\n  border-radius: 2px;\n  overflow: hidden;\n  box-shadow: none;\n  z-index: 0;\n}\n.vpm-wrap .ka-map {\n  --ka-accent: var(--accent);\n  --ka-on-accent: #ffffff;\n  --ka-surface: var(--surface);\n  --ka-ink: var(--ink);\n  --ka-line: var(--line-strong);\n  --ka-radius: 2px;\n  --ka-shadow: 0 2px 10px rgba(20, 24, 20, 0.18);\n  --ka-font: var(--font-inter), system-ui, sans-serif;\n  position: absolute;\n  inset: 0;\n}\n.vpm-chip {\n  position: absolute;\n  bottom: 12px;\n  left: 12px;\n  z-index: 9;\n  background: var(--ink-deep);\n  color: var(--paper-on-ink);\n  border: 0;\n  border-radius: 2px;\n  padding: 6px 12px;\n  font-family: var(--font-jetbrains), monospace;\n  font-size: 10.5px;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n}\n.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n.vpm-pop-value {\n  font-family: var(--font-space-grotesk), sans-serif;\n  font-weight: 700;\n  font-size: 22px;\n  letter-spacing: -0.02em;\n  margin-top: 2px;\n}\n.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n.vpm-pop-cta {\n  display: inline-block;\n  margin-top: 12px;\n  padding: 9px 14px;\n  background: var(--ink);\n  color: var(--paper);\n  border: 1px solid var(--ink);\n  border-radius: 2px;\n  font-size: 12.5px;\n  font-weight: 600;\n  cursor: pointer;\n}\n.vpm-pop-cta:active { opacity: 0.85; }\n","structuredPatch":[{"oldStart":71,"oldLines":6,"newStart":71,"newLines":8,"lines":["   --color-amber-soft: var(--amber-soft);","   --color-danger: var(--danger);","   --color-accent: var(--accent);","+  --color-accent-deep: var(--accent-deep);","+  --color-accent-bright: var(--accent-bright);","   --font-display: var(--font-space-grotesk), system-ui, sans-serif;","   --font-body: var(--font-inter), system-ui, sans-serif;","   --font-mono: var(--font-jetbrains), ui-monospace, monospace;"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d39449c2-1b07-4b79-bdd2-2829ed13be2d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"888442e7-191a-44dc-917a-bdf18f0a5894","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"47728f94-799c-4f7e-8806-705694bf5f49","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":150,"uuid":"44a812c1-9e56-4b00-b1f5-a5ed939157b4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":50,"uuid":"785b4b1d-f31c-4790-bfda-d44507290b03","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"2e7fb422-c351-463e-8218-567c3ca922c7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"37e2f401-170a-4000-9a87-fd0f24f20b1f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9ZwuAhDJgRLECAC27","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":416,"cache_read_input_tokens":185970,"cache_creation":{"ephemeral_5m_input_tokens":416,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c9afbc5e-2345-414a-8fab-6ab8957d3e02","request_id":"req_011CeQA9YKRQuCiZywt1cwtx"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9ZwuAhDJgRLECAC27","type":"message","role":"assistant","content":[{"type":"text","text":"Task 5 terminé. Task 6 : le rapport de valeur (ResultView) — l'écran le plus important."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":416,"cache_read_input_tokens":185970,"cache_creation":{"ephemeral_5m_input_tokens":416,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fcbc0d33-4cf0-4314-a3f5-fc9c8d4be141","request_id":"req_011CeQA9YKRQuCiZywt1cwtx"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9ZwuAhDJgRLECAC27","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AuEHCLeYwk6dJDbhJH3Faf","name":"TaskUpdate","input":{"taskId":"5","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":416,"cache_read_input_tokens":185970,"cache_creation":{"ephemeral_5m_input_tokens":416,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a3be69d6-3ee3-488c-96b5-712a2ec0bcbd","request_id":"req_011CeQA9YKRQuCiZywt1cwtx"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9ZwuAhDJgRLECAC27","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NKNNVmXAJtoKWF2pE6VCoE","name":"TaskUpdate","input":{"taskId":"6","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":416,"cache_read_input_tokens":185970,"cache_creation":{"ephemeral_5m_input_tokens":416,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"96f63f61-b0fc-4ce2-a08c-85801a1ce38e","request_id":"req_011CeQA9YKRQuCiZywt1cwtx"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NKNNVmXAJtoKWF2pE6VCoE","type":"tool_result","content":"Updated task #6 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b9a780e7-2de9-41d6-8770-8935986314b4","timestamp":"2026-08-25T21:14:48.622Z","tool_use_result":{"success":true,"taskId":"6","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AuEHCLeYwk6dJDbhJH3Faf","type":"tool_result","content":"Updated task #5 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4087eb59-f0b0-49e4-9504-5728e67bdd18","timestamp":"2026-08-25T21:14:48.623Z","tool_use_result":{"success":true,"taskId":"5","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9ZwuAhDJgRLECAC27","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fr2w5zU8EiAnFY7rQspF52","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * ResultView — le « rapport de valeur » : l'écran central du produit.\n * Composition éditoriale v2 : masthead de rapport, estimation en très grands\n * chiffres, sections numérotées à filets (registre, calcul, marché, historique,\n * comparables), zéro carte — la hiérarchie vient de la typographie et des filets.\n */\n\"use client\";\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport { useLang } from \"./LangContext\";\nimport LeadForm from \"./LeadForm\";\nimport RadarMap from \"./RadarMap\";\nimport FavButton from \"./FavButton\";\nimport {\n  BuildingGlyph,\n  ConfidenceDial,\n  CountUp,\n  EraLine,\n  locNum,\n  LotDiagram,\n  MarketIndexChart,\n  PercentileBar,\n  RangeBar,\n  ValueSplit,\n} from \"./MetricViz\";\nimport type { EstimateResult } from \"@/lib/engine\";\nimport type { UnitEstimate } from \"@/lib/estimator\";\nimport type { TKey } from \"@/lib/i18n\";\n\nconst fmt = (v: number | null | undefined, lang: string) =>\n  v == null\n    ? \"—\"\n    : new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n        style: \"currency\",\n        currency: \"CAD\",\n        maximumFractionDigits: 0,\n      }).format(v);\n\nconst signed = (v: number, lang: string) =>\n  `${v >= 0 ? \"+\" : \"−\"}${fmt(Math.abs(Math.round(v)), lang)}`;\n\nfunction Chip({ k, v }: { k: string; v: string | number }) {\n  return (\n    <div className=\"kv-cell\">\n      <p className=\"k\">{k}</p>\n      <p className=\"v break-words\">{v}</p>\n    </div>\n  );\n}\n\n/** En-tête de section du rapport : filet fort + numéro mono rouge. */\nfunction Sect({ num, kicker, title }: { num: string; kicker: string; title: string }) {\n  return (\n    <header className=\"sec\">\n      <span className=\"sec-num\">\n        {num} — {kicker}\n      </span>\n      <h2 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-[1.05] tracking-[-0.025em]\">\n        {title}\n      </h2>\n    </header>\n  );\n}\n\nexport default function ResultView({ data }: { data: UnitEstimate }) {\n  const { lang, t } = useLang();\n  const [activeComp, setActiveComp] = useState<string | null>(null);\n  const r: EstimateResult = data.result;\n  const u = data.unit;\n  const ctx = data.context;\n  const s = u?.specs;\n  const fr = lang === \"fr\";\n  const histMax = Math.max(...(u?.history.map((h) => h.value ?? 0) ?? [0]), 1);\n  const moneyFmt = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(Math.round(v / 100) * 100);\n\n  return (\n    <div className=\"space-y-12 py-8\">\n      {/* ================= masthead du rapport ================= */}\n      <section className=\"rise\">\n        <div className=\"flex flex-wrap items-baseline justify-between gap-x-4 gap-y-1 border-b-2 border-ink pb-2.5\">\n          <nav className=\"vp-mono flex min-w-0 flex-wrap items-center gap-2 text-[10.5px] uppercase tracking-[0.08em] text-ink-3\">\n            <Link href=\"/\" className=\"text-ink-2 hover:text-accent-deep\">\n              Vrai-Prix\n            </Link>\n            <span aria-hidden=\"true\">/</span>\n            <span>{fr ? \"Rapport de valeur\" : \"Value report\"}</span>\n            {u && (\n              <>\n                <span aria-hidden=\"true\">/</span>\n                <span className=\"truncate\">{u.id}</span>\n              </>\n            )}\n          </nav>\n          {u && (\n            <FavButton\n              size=\"lg\"\n              item={{\n                item_id: u.id,\n                title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,\n                subtitle: u.municipalite ?? \"\",\n                price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",\n                url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,\n              }}\n            />\n          )}\n        </div>\n\n        <div className=\"mt-6 grid gap-x-12 gap-y-8 lg:grid-cols-[1.5fr_1fr]\">\n          {/* colonne principale : adresse + estimation en très grands chiffres */}\n          <div className=\"min-w-0\">\n            {u && (\n              <h1 className=\"vp-display text-[clamp(19px,2.6vw,26px)] font-bold uppercase leading-tight tracking-[-0.02em]\">\n                {u.adresse}\n                {s?.apt ? ` app. ${s.apt}` : \"\"}\n                {u.municipalite ? <span className=\"text-ink-3\"> · {u.municipalite}</span> : null}\n              </h1>\n            )}\n            <p className=\"klabel mt-5\">{t(\"estimatedValue\")}</p>\n            <p className=\"vp-display mt-1 text-[clamp(52px,9vw,96px)] font-bold leading-none tracking-[-0.045em]\">\n              <CountUp value={r.estimate} format={moneyFmt} />\n            </p>\n            {/* faits rapides — ligne mono, pas de pastilles */}\n            <p className=\"vp-mono mt-4 text-[11px] uppercase tracking-[0.06em] text-ink-2\">\n              {[\n                u ? t(u.typeProp as TKey) : null,\n                u?.aireEtagesM2 && r.estimate > 0\n                  ? `${locNum(Math.round(r.estimate / u.aireEtagesM2), lang, { maxFrac: 0 })} $/m²`\n                  : null,\n                u?.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : null,\n                u?.anneeConstruction ? `${fr ? \"constr.\" : \"built\"} ${u.anneeConstruction}` : null,\n                u?.superficieTerrainM2\n                  ? `${fr ? \"terrain\" : \"lot\"} ${locNum(u.superficieTerrainM2, lang, { unit: \"m²\" })}`\n                  : null,\n              ]\n                .filter((x): x is string => x != null)\n                .join(\"  ·  \")}\n            </p>\n            {/* fourchette visuelle P10-P90 avec position du rôle */}\n            <div className=\"mt-7 max-w-2xl\">\n              <p className=\"klabel mb-1\">{t(\"range\")}</p>\n              <RangeBar\n                low={r.low}\n                estimate={r.estimate}\n                high={r.high}\n                role={u?.valeurRole ?? null}\n                lang={lang}\n              />\n            </div>\n            {u && (\n              <div className=\"mt-7 flex flex-wrap gap-2.5\">\n                <a\n                  href={`/api/report?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-primary\"\n                  download\n                >\n                  {fr ? \"Rapport PDF\" : \"PDF report\"} ↓\n                </a>\n                <a\n                  href={`/api/report/pro?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-ghost\"\n                  download\n                  title={fr ? \"Structure de rapport d'évaluation — présentation bancaire\" : \"Appraisal-style structure — bank presentation\"}\n                >\n                  {fr ? \"Format professionnel (banque)\" : \"Professional format (bank)\"} ↓\n                </a>\n              </div>\n            )}\n          </div>\n\n          {/* colonne de lecture : confiance + rôle + écart, en cellules de données */}\n          <aside className=\"lg:border-l lg:border-[var(--line)] lg:pl-10\">\n            <div className=\"flex items-start justify-between gap-6 lg:block\">\n              <ConfidenceDial\n                pct={r.confidencePct}\n                level={r.confidenceLevel}\n                label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}\n              />\n              <dl className=\"grid flex-1 grid-cols-1 gap-x-6 sm:grid-cols-2 lg:mt-6 lg:grid-cols-1\">\n                {u?.valeurRole != null && (\n                  <div className=\"border-t border-[var(--line)] py-3\">\n                    <dt className=\"klabel\">{t(\"assessed\")}</dt>\n                    <dd className=\"vp-display mt-0.5 text-[22px] font-bold tracking-[-0.02em] text-ink-2\">\n                      {fmt(u.valeurRole, lang)}\n                    </dd>\n                  </div>\n                )}\n                {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (\n                  <div className=\"border-t border-[var(--line)] py-3\">\n                    <dt className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</dt>\n                    <dd\n                      className={`vp-display mt-0.5 text-[22px] font-bold tracking-[-0.02em] ${\n                        r.estimate >= u.valeurRole ? \"text-ink\" : \"text-[var(--danger)]\"\n                      }`}\n                    >\n                      {r.estimate >= u.valeurRole ? \"+\" : \"\"}\n                      {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %\n                    </dd>\n                  </div>\n                )}\n              </dl>\n            </div>\n          </aside>\n        </div>\n        <p className=\"vp-mono mt-7 border-t border-[var(--line)] pt-3 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n          {t(\"disclaimer\")}\n        </p>\n      </section>\n\n      {/* ================= 01 — portrait du registre ================= */}\n      {u && s && (\n        <section>\n          <Sect\n            num=\"01\"\n            kicker={fr ? \"Registre officiel\" : \"Official record\"}\n            title={fr ? \"Portrait de la propriété\" : \"Property portrait\"}\n          />\n          <div className=\"mt-6 grid gap-x-10 gap-y-8 lg:grid-cols-3 lg:divide-x lg:divide-[var(--line)]\">\n            {/* Bâtiment */}\n            <div className=\"rise\" style={{ animationDelay: \"60ms\" }}>\n              <p className=\"klabel\">{fr ? \"Bâtiment\" : \"Building\"}</p>\n              <div className=\"flex justify-center py-2\">\n                <BuildingGlyph\n                  floors={s.nbEtages}\n                  dwellings={u.nbLogements}\n                  genre={s.genreConstruction}\n                  yearBuilt={u.anneeConstruction}\n                  floorAreaM2={u.aireEtagesM2}\n                  lang={lang}\n                />\n              </div>\n              <EraLine year={u.anneeConstruction} lang={lang} />\n              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">\n                <Chip k={fr ? \"Aire d'étages\" : \"Floor area\"} v={u.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Étages × logements\" : \"Storeys × dwellings\"} v={`${s.nbEtages ?? \"—\"} × ${u.nbLogements ?? \"—\"}`} />\n                <Chip k={fr ? \"Genre\" : \"Style\"} v={s.genreConstruction ?? \"—\"} />\n                <Chip k={fr ? \"Lien physique\" : \"Physical link\"} v={s.lienPhysique ?? \"—\"} />\n              </div>\n            </div>\n            {/* Terrain */}\n            <div className=\"rise lg:pl-10\" style={{ animationDelay: \"140ms\" }}>\n              <p className=\"klabel\">{fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}</p>\n              <div className=\"flex justify-center py-2\">\n                <LotDiagram\n                  areaM2={u.superficieTerrainM2}\n                  frontageM={s.frontTerrainM}\n                  footprintM2={\n                    u.aireEtagesM2 && s.nbEtages ? u.aireEtagesM2 / Math.max(1, s.nbEtages) : u.aireEtagesM2\n                  }\n                  lang={lang}\n                  isCondo={!!s.apt || (u.nbLogements != null && u.nbLogements >= 1 && !u.superficieTerrainM2)}\n                />\n              </div>\n              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">\n                <Chip k={fr ? \"Superficie\" : \"Area\"} v={u.superficieTerrainM2 ? locNum(u.superficieTerrainM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Frontage\" : \"Frontage\"} v={s.frontTerrainM ? locNum(s.frontTerrainM, lang, { unit: \"m\" }) : \"—\"} />\n                <Chip k=\"CUBF\" v={s.cubf ?? \"—\"} />\n                <Chip k={fr ? \"Usage\" : \"Use\"} v={s.cubfLibelle ?? \"—\"} />\n              </div>\n            </div>\n            {/* Valeur au rôle */}\n            <div className=\"rise lg:pl-10\" style={{ animationDelay: \"220ms\" }}>\n              <p className=\"klabel\">{fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}</p>\n              <p className=\"vp-display py-2 text-[30px] font-bold tracking-[-0.025em]\">\n                {fmt(u.valeurRole, lang)}\n              </p>\n              <ValueSplit\n                land={s.valeurTerrain}\n                building={s.valeurBatiment}\n                previous={s.valeurAnterieure}\n                total={u.valeurRole}\n                lang={lang}\n                labels={{\n                  land: fr ? \"Terrain\" : \"Land\",\n                  building: fr ? \"Bâtiment\" : \"Building\",\n                  previous: fr ? \"Rôle antérieur\" : \"Previous roll\",\n                }}\n              />\n              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">\n                <Chip k={fr ? \"Cond. marché au\" : \"Market cond.\"} v={s.datCondMarche ?? \"—\"} />\n                <Chip k={fr ? \"Matricule\" : \"Roll no.\"} v={s.matricule ?? \"—\"} />\n              </div>\n            </div>\n          </div>\n          {/* registre brut complet */}\n          <details className=\"mt-6 border-t border-[var(--line)] pt-4\">\n            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-accent-deep hover:text-accent\">\n              ▸ {fr ? \"Toutes les données du registre (brutes)\" : \"All registry data (raw)\"}\n            </summary>\n            <div className=\"mt-4 grid grid-cols-2 gap-x-4 gap-y-2 sm:grid-cols-4\">\n              <Chip k={fr ? \"Année construction\" : \"Year built\"} v={u.anneeConstruction ? `${u.anneeConstruction}${s.anneeEstimee === \"E\" ? (fr ? \" (estimée)\" : \" (est.)\") : \"\"}` : \"—\"} />\n              <Chip k={fr ? \"Locaux non résid.\" : \"Non-res. units\"} v={s.nbLocauxNonResid ?? \"—\"} />\n              <Chip k={fr ? \"Chambres locatives\" : \"Rental rooms\"} v={s.nbChambresLocatives ?? \"—\"} />\n              <Chip k={fr ? \"Unité de voisinage\" : \"Neighbourhood\"} v={s.uniteVoisinage || \"—\"} />\n              <Chip k={fr ? \"Arrondissement\" : \"Borough\"} v={s.arrond || \"—\"} />\n              <Chip k={fr ? \"Adresses sur l'unité\" : \"Addresses\"} v={s.nAdresses ?? \"—\"} />\n              <Chip k={fr ? \"Valeur terrain\" : \"Land value\"} v={fmt(s.valeurTerrain, lang)} />\n              <Chip k={fr ? \"Valeur bâtiment\" : \"Building value\"} v={fmt(s.valeurBatiment, lang)} />\n              <Chip k={fr ? \"Rôle antérieur\" : \"Previous roll\"} v={fmt(s.valeurAnterieure, lang)} />\n              <Chip k=\"ID provincial\" v={u.id} />\n            </div>\n          </details>\n        </section>\n      )}\n\n      {/* ================= 02 — transparence du calcul ================= */}\n      <section>\n        <Sect num=\"02\" kicker={fr ? \"Transparence\" : \"Transparency\"} title={t(\"whyTitle\")} />\n        <div className=\"mt-6 grid gap-x-10 gap-y-6 sm:grid-cols-2 sm:divide-x sm:divide-[var(--line)]\">\n          <div className=\"rise\">\n            <p className=\"klabel\">{t(\"modelPart\")}</p>\n            <p className=\"vp-display mt-2 text-[clamp(30px,4vw,40px)] font-bold leading-none tracking-[-0.03em]\">\n              {r.modelEstimate != null ? (\n                <CountUp value={r.modelEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-2 text-[11px] uppercase tracking-[0.06em] text-ink-2\">\n              {t(\"weightModel\")} : <b className=\"text-ink\">{(r.modelWeight * 100).toFixed(0)} %</b>\n            </p>\n          </div>\n          <div className=\"rise sm:pl-10\" style={{ animationDelay: \"100ms\" }}>\n            <p className=\"klabel\">{t(\"compsPart\")}</p>\n            <p className=\"vp-display mt-2 text-[clamp(30px,4vw,40px)] font-bold leading-none tracking-[-0.03em]\">\n              {r.compsEstimate != null ? (\n                <CountUp value={r.compsEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-2 text-[11px] uppercase tracking-[0.06em] text-ink-2\">\n              {t(\"weightComps\")} : <b className=\"text-ink\">{((1 - r.modelWeight) * 100).toFixed(0)} %</b> · {r.nCompsUsed} comps\n              {r.compsDispersionPct != null ? ` · ±${r.compsDispersionPct} %` : \"\"}\n            </p>\n          </div>\n        </div>\n      </section>\n\n      {/* ================= 03 — marché local ================= */}\n      {ctx && (ctx.index.length >= 6 || ctx.sector || ctx.muniPercentile != null) && (\n        <section>\n          <Sect\n            num=\"03\"\n            kicker={fr ? \"Contexte de marché\" : \"Market context\"}\n            title={fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}\n          />\n          <div className=\"mt-6 grid items-start gap-x-10 gap-y-8 lg:grid-cols-[1.4fr_1fr]\">\n            {/* trajectoire du marché */}\n            {ctx.index.length >= 6 && (\n              <div className=\"rise\">\n                <div className=\"flex flex-wrap items-center justify-between gap-2\">\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Indice de marché — ${t(ctx.typeProp as TKey)} (base 100 en ${ctx.index[0].month.slice(0, 4)})`\n                      : `Market index — ${t(ctx.typeProp as TKey)} (base 100 in ${ctx.index[0].month.slice(0, 4)})`}\n                  </p>\n                  <p className=\"vp-mono flex gap-4 text-[11px] text-ink-2\">\n                    {ctx.index12mPct != null && (\n                      <span>\n                        12 {fr ? \"mois\" : \"mo\"}{\" \"}\n                        <b className={ctx.index12mPct >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>\n                          {ctx.index12mPct >= 0 ? \"+\" : \"\"}\n                          {ctx.index12mPct.toFixed(1)} %\n                        </b>\n                      </span>\n                    )}\n                    {ctx.indexSince2021Pct != null && (\n                      <span>\n                        {ctx.index[0].month.slice(0, 4)}→{\" \"}\n                        <b className={ctx.indexSince2021Pct >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>\n                          {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}\n                          {ctx.indexSince2021Pct.toFixed(0)} %\n                        </b>\n                      </span>\n                    )}\n                  </p>\n                </div>\n                <div className=\"mt-3\">\n                  <MarketIndexChart series={ctx.index} lang={lang} />\n                </div>\n                <p className=\"vp-mono mt-2 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n                  {fr\n                    ? \"Indice utilisé pour l'ajustement « marché » des comparables — même donnée, même calcul.\"\n                    : \"Index used for the comparables' market adjustment — same data, same math.\"}\n                </p>\n              </div>\n            )}\n            <div className=\"flex flex-col gap-7 lg:border-l lg:border-[var(--line)] lg:pl-10\">\n              {/* ventes du secteur */}\n              {ctx.sector && (\n                <div className=\"rise\" style={{ animationDelay: \"80ms\" }}>\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Ventes réelles — rayon ${ctx.sector.radiusKm} km · 12 mois`\n                      : `Real sales — ${ctx.sector.radiusKm} km radius · 12 months`}\n                  </p>\n                  <div className=\"mt-2 grid grid-cols-3 gap-x-4\">\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Ventes\" : \"Sales\"}</p>\n                      <p className=\"v\">{ctx.sector.nSales12m}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Prix médian\" : \"Median price\"}</p>\n                      <p className=\"v\">{ctx.sector.medianPrice != null ? fmt(Math.round(ctx.sector.medianPrice), lang) : \"—\"}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">$/m² {fr ? \"médian\" : \"median\"}</p>\n                      <p className=\"v\">\n                        {ctx.sector.medianPpm2 != null\n                          ? locNum(Math.round(ctx.sector.medianPpm2), lang, { maxFrac: 0 })\n                          : \"—\"}\n                      </p>\n                    </div>\n                  </div>\n                  {ctx.sector.medianPrice != null && r.estimate > 0 && (\n                    <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-2\">\n                      {fr ? \"Cette propriété\" : \"This property\"} :{\" \"}\n                      <b className=\"text-ink\">\n                        {r.estimate >= ctx.sector.medianPrice ? \"+\" : \"−\"}\n                        {Math.abs((r.estimate / ctx.sector.medianPrice - 1) * 100).toFixed(0)} %\n                      </b>{\" \"}\n                      {fr ? \"vs médiane du secteur\" : \"vs sector median\"}\n                    </p>\n                  )}\n                </div>\n              )}\n              {/* position dans la municipalité */}\n              {ctx.muniPercentile != null && u?.municipalite && (\n                <div className=\"rise\" style={{ animationDelay: \"160ms\" }}>\n                  <p className=\"klabel\">\n                    {fr ? `Position dans ${u.municipalite}` : `Position in ${u.municipalite}`}\n                  </p>\n                  <div className=\"mt-3\">\n                    <PercentileBar pct={ctx.muniPercentile} lang={lang} />\n                  </div>\n                  <p className=\"mt-3 text-[13px] text-ink-2\">\n                    {fr ? (\n                      <>\n                        Vaut plus que{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> des{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        propriétés estimées de la municipalité.\n                      </>\n                    ) : (\n                      <>\n                        Worth more than{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> of the{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        estimated properties in the municipality.\n                      </>\n                    )}\n                  </p>\n                </div>\n              )}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ================= 04 — historique ================= */}\n      {u && u.history.some((h) => h.value != null) && (\n        <section>\n          <Sect num=\"04\" kicker=\"2021 → 2026\" title={t(\"history\")} />\n          <div className=\"mt-6 max-w-3xl\">\n            <div className=\"flex flex-col gap-2\">\n              {u.history.map((h, i) => {\n                const prev = i > 0 ? u.history[i - 1].value : null;\n                const yoy =\n                  h.value != null && prev != null && prev > 0\n                    ? ((h.value / prev - 1) * 100)\n                    : null;\n                return (\n                  <div key={h.year} className=\"hbar-row grid grid-cols-[44px_1fr_auto] items-center gap-2 sm:grid-cols-[52px_1fr_auto] sm:gap-3\">\n                    <span className=\"vp-mono text-[12px] font-bold\">{h.year}</span>\n                    <span className=\"hbar-track\">\n                      <span\n                        className=\"hbar-fill grow-x\"\n                        style={{\n                          width: `${((h.value ?? 0) / histMax) * 100}%`,\n                          animationDelay: `${i * 90}ms`,\n                          background: h.year === 2026 ? \"var(--accent)\" : undefined,\n                        }}\n                      />\n                    </span>\n                    <span className=\"vp-mono flex items-center justify-end gap-2 text-[12px] font-bold\">\n                      {fmt(h.value, lang)}\n                      {yoy != null && (\n                        <span className={`text-[10px] font-medium ${yoy >= 0 ? \"text-ink-2\" : \"text-[var(--danger)]\"}`}>\n                          {yoy >= 0 ? \"+\" : \"\"}\n                          {yoy.toFixed(0)} %\n                        </span>\n                      )}\n                    </span>\n                  </div>\n                );\n              })}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ================= 05 — comparables ================= */}\n      <section>\n        <Sect\n          num=\"05\"\n          kicker={`${r.nCompsUsed} ${fr ? \"ventes réelles\" : \"real sales\"}`}\n          title={t(\"compsTitle\")}\n        />\n        <div className=\"mt-6 grid items-start gap-x-8 gap-y-6 lg:grid-cols-[1.05fr_1fr]\">\n          <div className=\"overflow-hidden border border-[var(--line-strong)]\">\n            <RadarMap\n              subject={{\n                lat: u?.lat ?? r.comps[0]?.lat ?? 46.81,\n                lng: u?.lng ?? r.comps[0]?.lng ?? -71.21,\n                label: u?.adresse ?? (fr ? \"Propriété estimée\" : \"Subject property\"),\n              }}\n              comps={r.comps.map((c) => ({\n                id: c.id,\n                lat: c.lat,\n                lng: c.lng,\n                label: `${c.street ?? \"\"}, ${c.city ?? \"\"}`,\n                price: fmt(c.amount, lang),\n                adjusted: fmt(Math.round(c.adjustedPrice), lang),\n                date: c.date,\n                distanceM: c.distanceM,\n                weight: c.weight,\n              }))}\n              highlight={activeComp}\n              onHover={setActiveComp}\n            />\n          </div>\n          <div className=\"src-wrap max-h-[560px] overflow-y-auto\">\n            <table className=\"src-table\">\n              <thead className=\"sticky top-0 z-10 bg-paper\">\n                <tr>\n                  <th>#</th>\n                  <th>{fr ? \"Vente\" : \"Sale\"}</th>\n                  <th className=\"text-right\">{t(\"adjusted\")}</th>\n                </tr>\n              </thead>\n              <tbody>\n                {r.comps.map((c, i) => (\n                  <tr\n                    key={c.id}\n                    onMouseEnter={() => setActiveComp(c.id)}\n                    onMouseLeave={() => setActiveComp(null)}\n                    className={activeComp === c.id ? \"!bg-surface-2\" : \"\"}\n                  >\n                    <td>\n                      <span\n                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center text-[11px] font-bold ${\n                          activeComp === c.id ? \"bg-accent text-white\" : \"bg-ink text-paper\"\n                        }`}\n                      >\n                        {i + 1}\n                      </span>\n                    </td>\n                    <td>\n                      <p className=\"font-semibold leading-tight\">\n                        {c.street}, {c.city}\n                      </p>\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                        {c.date} · {c.distanceM < 1000 ? `${Math.round(c.distanceM)} m` : `${(c.distanceM / 1000).toFixed(1)} km`} ·{\" \"}\n                        {t(\"sold\")} {fmt(c.amount, lang)}\n                        {c.floorArea && c.floorArea > 20\n                          ? ` (${locNum(Math.round(c.amount / c.floorArea), lang, { maxFrac: 0 })} $/m²)`\n                          : \"\"}\n                      </p>\n                      {(c.floorArea || c.yearBuilt) && (\n                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                          {[\n                            c.floorArea ? locNum(c.floorArea, lang, { unit: \"m²\" }) : null,\n                            c.yearBuilt ? `${fr ? \"constr.\" : \"built\"} ${c.yearBuilt}` : null,\n                          ]\n                            .filter(Boolean)\n                            .join(\" · \")}\n                        </p>\n                      )}\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] text-ink-2\">\n                        {t(\"adjTime\")} {signed(c.adjTime, lang)} · {t(\"adjArea\")} {signed(c.adjArea, lang)} ·{\" \"}\n                        {t(\"adjAge\")} {signed(c.adjAge, lang)}\n                      </p>\n                    </td>\n                    <td className=\"vp-display text-right font-bold\">\n                      {fmt(Math.round(c.adjustedPrice), lang)}\n                      <p className=\"vp-mono text-[10px] font-normal text-ink-3\">\n                        {t(\"weight\")} {(c.weight * 100).toFixed(0)} %\n                      </p>\n                    </td>\n                  </tr>\n                ))}\n              </tbody>\n            </table>\n          </div>\n        </div>\n      </section>\n\n      {/* ================= alerte de valeur ================= */}\n      <section className=\"bleed vp-dark\">\n        <div className=\"mx-auto max-w-6xl px-4 py-10 sm:px-6 sm:py-12\">\n          <span className=\"sec-num !text-[var(--accent-bright)]\">\n            06 — {fr ? \"Suivi\" : \"Watch\"}\n          </span>\n          <h2 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase tracking-[-0.025em] text-[var(--paper-on-ink)]\">\n            {t(\"leadTitle\")}\n          </h2>\n          <div className=\"mt-5 max-w-xl\">\n            <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />\n          </div>\n        </div>\n      </section>\n    </div>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":416,"cache_read_input_tokens":185970,"cache_creation":{"ephemeral_5m_input_tokens":416,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"35643059-6416-41b7-b4ab-d706698acb13","request_id":"req_011CeQA9YKRQuCiZywt1cwtx"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fr2w5zU8EiAnFY7rQspF52","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"801aea9c-61d7-43c9-a529-9fb8037b5793","timestamp":"2026-08-25T21:16:21.959Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/ResultView.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * ResultView — le « rapport de valeur » : l'écran central du produit.\n * Composition éditoriale v2 : masthead de rapport, estimation en très grands\n * chiffres, sections numérotées à filets (registre, calcul, marché, historique,\n * comparables), zéro carte — la hiérarchie vient de la typographie et des filets.\n */\n\"use client\";\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport { useLang } from \"./LangContext\";\nimport LeadForm from \"./LeadForm\";\nimport RadarMap from \"./RadarMap\";\nimport FavButton from \"./FavButton\";\nimport {\n  BuildingGlyph,\n  ConfidenceDial,\n  CountUp,\n  EraLine,\n  locNum,\n  LotDiagram,\n  MarketIndexChart,\n  PercentileBar,\n  RangeBar,\n  ValueSplit,\n} from \"./MetricViz\";\nimport type { EstimateResult } from \"@/lib/engine\";\nimport type { UnitEstimate } from \"@/lib/estimator\";\nimport type { TKey } from \"@/lib/i18n\";\n\nconst fmt = (v: number | null | undefined, lang: string) =>\n  v == null\n    ? \"—\"\n    : new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n        style: \"currency\",\n        currency: \"CAD\",\n        maximumFractionDigits: 0,\n      }).format(v);\n\nconst signed = (v: number, lang: string) =>\n  `${v >= 0 ? \"+\" : \"−\"}${fmt(Math.abs(Math.round(v)), lang)}`;\n\nfunction Chip({ k, v }: { k: string; v: string | number }) {\n  return (\n    <div className=\"kv-cell\">\n      <p className=\"k\">{k}</p>\n      <p className=\"v break-words\">{v}</p>\n    </div>\n  );\n}\n\n/** En-tête de section du rapport : filet fort + numéro mono rouge. */\nfunction Sect({ num, kicker, title }: { num: string; kicker: string; title: string }) {\n  return (\n    <header className=\"sec\">\n      <span className=\"sec-num\">\n        {num} — {kicker}\n      </span>\n      <h2 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-[1.05] tracking-[-0.025em]\">\n        {title}\n      </h2>\n    </header>\n  );\n}\n\nexport default function ResultView({ data }: { data: UnitEstimate }) {\n  const { lang, t } = useLang();\n  const [activeComp, setActiveComp] = useState<string | null>(null);\n  const r: EstimateResult = data.result;\n  const u = data.unit;\n  const ctx = data.context;\n  const s = u?.specs;\n  const fr = lang === \"fr\";\n  const histMax = Math.max(...(u?.history.map((h) => h.value ?? 0) ?? [0]), 1);\n  const moneyFmt = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(Math.round(v / 100) * 100);\n\n  return (\n    <div className=\"space-y-12 py-8\">\n      {/* ================= masthead du rapport ================= */}\n      <section className=\"rise\">\n        <div className=\"flex flex-wrap items-baseline justify-between gap-x-4 gap-y-1 border-b-2 border-ink pb-2.5\">\n          <nav className=\"vp-mono flex min-w-0 flex-wrap items-center gap-2 text-[10.5px] uppercase tracking-[0.08em] text-ink-3\">\n            <Link href=\"/\" className=\"text-ink-2 hover:text-accent-deep\">\n              Vrai-Prix\n            </Link>\n            <span aria-hidden=\"true\">/</span>\n            <span>{fr ? \"Rapport de valeur\" : \"Value report\"}</span>\n            {u && (\n              <>\n                <span aria-hidden=\"true\">/</span>\n                <span className=\"truncate\">{u.id}</span>\n              </>\n            )}\n          </nav>\n          {u && (\n            <FavButton\n              size=\"lg\"\n              item={{\n                item_id: u.id,\n                title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,\n                subtitle: u.municipalite ?? \"\",\n                price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",\n                url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,\n              }}\n            />\n          )}\n        </div>\n\n        <div className=\"mt-6 grid gap-x-12 gap-y-8 lg:grid-cols-[1.5fr_1fr]\">\n          {/* colonne principale : adresse + estimation en très grands chiffres */}\n          <div className=\"min-w-0\">\n            {u && (\n              <h1 className=\"vp-display text-[clamp(19px,2.6vw,26px)] font-bold uppercase leading-tight tracking-[-0.02em]\">\n                {u.adresse}\n                {s?.apt ? ` app. ${s.apt}` : \"\"}\n                {u.municipalite ? <span className=\"text-ink-3\"> · {u.municipalite}</span> : null}\n              </h1>\n            )}\n            <p className=\"klabel mt-5\">{t(\"estimatedValue\")}</p>\n            <p className=\"vp-display mt-1 text-[clamp(52px,9vw,96px)] font-bold leading-none tracking-[-0.045em]\">\n              <CountUp value={r.estimate} format={moneyFmt} />\n            </p>\n            {/* faits rapides — ligne mono, pas de pastilles */}\n            <p className=\"vp-mono mt-4 text-[11px] uppercase tracking-[0.06em] text-ink-2\">\n              {[\n                u ? t(u.typeProp as TKey) : null,\n                u?.aireEtagesM2 && r.estimate > 0\n                  ? `${locNum(Math.round(r.estimate / u.aireEtagesM2), lang, { maxFrac: 0 })} $/m²`\n                  : null,\n                u?.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : null,\n                u?.anneeConstruction ? `${fr ? \"constr.\" : \"built\"} ${u.anneeConstruction}` : null,\n                u?.superficieTerrainM2\n                  ? `${fr ? \"terrain\" : \"lot\"} ${locNum(u.superficieTerrainM2, lang, { unit: \"m²\" })}`\n                  : null,\n              ]\n                .filter((x): x is string => x != null)\n                .join(\"  ·  \")}\n            </p>\n            {/* fourchette visuelle P10-P90 avec position du rôle */}\n            <div className=\"mt-7 max-w-2xl\">\n              <p className=\"klabel mb-1\">{t(\"range\")}</p>\n              <RangeBar\n                low={r.low}\n                estimate={r.estimate}\n                high={r.high}\n                role={u?.valeurRole ?? null}\n                lang={lang}\n              />\n            </div>\n            {u && (\n              <div className=\"mt-7 flex flex-wrap gap-2.5\">\n                <a\n                  href={`/api/report?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-primary\"\n                  download\n                >\n                  {fr ? \"Rapport PDF\" : \"PDF report\"} ↓\n                </a>\n                <a\n                  href={`/api/report/pro?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-ghost\"\n                  download\n                  title={fr ? \"Structure de rapport d'évaluation — présentation bancaire\" : \"Appraisal-style structure — bank presentation\"}\n                >\n                  {fr ? \"Format professionnel (banque)\" : \"Professional format (bank)\"} ↓\n                </a>\n              </div>\n            )}\n          </div>\n\n          {/* colonne de lecture : confiance + rôle + écart, en cellules de données */}\n          <aside className=\"lg:border-l lg:border-[var(--line)] lg:pl-10\">\n            <div className=\"flex items-start justify-between gap-6 lg:block\">\n              <ConfidenceDial\n                pct={r.confidencePct}\n                level={r.confidenceLevel}\n                label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}\n              />\n              <dl className=\"grid flex-1 grid-cols-1 gap-x-6 sm:grid-cols-2 lg:mt-6 lg:grid-cols-1\">\n                {u?.valeurRole != null && (\n                  <div className=\"border-t border-[var(--line)] py-3\">\n                    <dt className=\"klabel\">{t(\"assessed\")}</dt>\n                    <dd className=\"vp-display mt-0.5 text-[22px] font-bold tracking-[-0.02em] text-ink-2\">\n                      {fmt(u.valeurRole, lang)}\n                    </dd>\n                  </div>\n                )}\n                {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (\n                  <div className=\"border-t border-[var(--line)] py-3\">\n                    <dt className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</dt>\n                    <dd\n                      className={`vp-display mt-0.5 text-[22px] font-bold tracking-[-0.02em] ${\n                        r.estimate >= u.valeurRole ? \"text-ink\" : \"text-[var(--danger)]\"\n                      }`}\n                    >\n                      {r.estimate >= u.valeurRole ? \"+\" : \"\"}\n                      {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %\n                    </dd>\n                  </div>\n                )}\n              </dl>\n            </div>\n          </aside>\n        </div>\n        <p className=\"vp-mono mt-7 border-t border-[var(--line)] pt-3 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n          {t(\"disclaimer\")}\n        </p>\n      </section>\n\n      {/* ================= 01 — portrait du registre ================= */}\n      {u && s && (\n        <section>\n          <Sect\n            num=\"01\"\n            kicker={fr ? \"Registre officiel\" : \"Official record\"}\n            title={fr ? \"Portrait de la propriété\" : \"Property portrait\"}\n          />\n          <div className=\"mt-6 grid gap-x-10 gap-y-8 lg:grid-cols-3 lg:divide-x lg:divide-[var(--line)]\">\n            {/* Bâtiment */}\n            <div className=\"rise\" style={{ animationDelay: \"60ms\" }}>\n              <p className=\"klabel\">{fr ? \"Bâtiment\" : \"Building\"}</p>\n              <div className=\"flex justify-center py-2\">\n                <BuildingGlyph\n                  floors={s.nbEtages}\n                  dwellings={u.nbLogements}\n                  genre={s.genreConstruction}\n                  yearBuilt={u.anneeConstruction}\n                  floorAreaM2={u.aireEtagesM2}\n                  lang={lang}\n                />\n              </div>\n              <EraLine year={u.anneeConstruction} lang={lang} />\n              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">\n                <Chip k={fr ? \"Aire d'étages\" : \"Floor area\"} v={u.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Étages × logements\" : \"Storeys × dwellings\"} v={`${s.nbEtages ?? \"—\"} × ${u.nbLogements ?? \"—\"}`} />\n                <Chip k={fr ? \"Genre\" : \"Style\"} v={s.genreConstruction ?? \"—\"} />\n                <Chip k={fr ? \"Lien physique\" : \"Physical link\"} v={s.lienPhysique ?? \"—\"} />\n              </div>\n            </div>\n            {/* Terrain */}\n            <div className=\"rise lg:pl-10\" style={{ animationDelay: \"140ms\" }}>\n              <p className=\"klabel\">{fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}</p>\n              <div className=\"flex justify-center py-2\">\n                <LotDiagram\n                  areaM2={u.superficieTerrainM2}\n                  frontageM={s.frontTerrainM}\n                  footprintM2={\n                    u.aireEtagesM2 && s.nbEtages ? u.aireEtagesM2 / Math.max(1, s.nbEtages) : u.aireEtagesM2\n                  }\n                  lang={lang}\n                  isCondo={!!s.apt || (u.nbLogements != null && u.nbLogements >= 1 && !u.superficieTerrainM2)}\n                />\n              </div>\n              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">\n                <Chip k={fr ? \"Superficie\" : \"Area\"} v={u.superficieTerrainM2 ? locNum(u.superficieTerrainM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Frontage\" : \"Frontage\"} v={s.frontTerrainM ? locNum(s.frontTerrainM, lang, { unit: \"m\" }) : \"—\"} />\n                <Chip k=\"CUBF\" v={s.cubf ?? \"—\"} />\n                <Chip k={fr ? \"Usage\" : \"Use\"} v={s.cubfLibelle ?? \"—\"} />\n              </div>\n            </div>\n            {/* Valeur au rôle */}\n            <div className=\"rise lg:pl-10\" style={{ animationDelay: \"220ms\" }}>\n              <p className=\"klabel\">{fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}</p>\n              <p className=\"vp-display py-2 text-[30px] font-bold tracking-[-0.025em]\">\n                {fmt(u.valeurRole, lang)}\n              </p>\n              <ValueSplit\n                land={s.valeurTerrain}\n                building={s.valeurBatiment}\n                previous={s.valeurAnterieure}\n                total={u.valeurRole}\n                lang={lang}\n                labels={{\n                  land: fr ? \"Terrain\" : \"Land\",\n                  building: fr ? \"Bâtiment\" : \"Building\",\n                  previous: fr ? \"Rôle antérieur\" : \"Previous roll\",\n                }}\n              />\n              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">\n                <Chip k={fr ? \"Cond. marché au\" : \"Market cond.\"} v={s.datCondMarche ?? \"—\"} />\n                <Chip k={fr ? \"Matricule\" : \"Roll no.\"} v={s.matricule ?? \"—\"} />\n              </div>\n            </div>\n          </div>\n          {/* registre brut complet */}\n          <details className=\"mt-6 border-t border-[var(--line)] pt-4\">\n            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-accent-deep hover:text-accent\">\n              ▸ {fr ? \"Toutes les données du registre (brutes)\" : \"All registry data (raw)\"}\n            </summary>\n            <div className=\"mt-4 grid grid-cols-2 gap-x-4 gap-y-2 sm:grid-cols-4\">\n              <Chip k={fr ? \"Année construction\" : \"Year built\"} v={u.anneeConstruction ? `${u.anneeConstruction}${s.anneeEstimee === \"E\" ? (fr ? \" (estimée)\" : \" (est.)\") : \"\"}` : \"—\"} />\n              <Chip k={fr ? \"Locaux non résid.\" : \"Non-res. units\"} v={s.nbLocauxNonResid ?? \"—\"} />\n              <Chip k={fr ? \"Chambres locatives\" : \"Rental rooms\"} v={s.nbChambresLocatives ?? \"—\"} />\n              <Chip k={fr ? \"Unité de voisinage\" : \"Neighbourhood\"} v={s.uniteVoisinage || \"—\"} />\n              <Chip k={fr ? \"Arrondissement\" : \"Borough\"} v={s.arrond || \"—\"} />\n              <Chip k={fr ? \"Adresses sur l'unité\" : \"Addresses\"} v={s.nAdresses ?? \"—\"} />\n              <Chip k={fr ? \"Valeur terrain\" : \"Land value\"} v={fmt(s.valeurTerrain, lang)} />\n              <Chip k={fr ? \"Valeur bâtiment\" : \"Building value\"} v={fmt(s.valeurBatiment, lang)} />\n              <Chip k={fr ? \"Rôle antérieur\" : \"Previous roll\"} v={fmt(s.valeurAnterieure, lang)} />\n              <Chip k=\"ID provincial\" v={u.id} />\n            </div>\n          </details>\n        </section>\n      )}\n\n      {/* ================= 02 — transparence du calcul ================= */}\n      <section>\n        <Sect num=\"02\" kicker={fr ? \"Transparence\" : \"Transparency\"} title={t(\"whyTitle\")} />\n        <div className=\"mt-6 grid gap-x-10 gap-y-6 sm:grid-cols-2 sm:divide-x sm:divide-[var(--line)]\">\n          <div className=\"rise\">\n            <p className=\"klabel\">{t(\"modelPart\")}</p>\n            <p className=\"vp-display mt-2 text-[clamp(30px,4vw,40px)] font-bold leading-none tracking-[-0.03em]\">\n              {r.modelEstimate != null ? (\n                <CountUp value={r.modelEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-2 text-[11px] uppercase tracking-[0.06em] text-ink-2\">\n              {t(\"weightModel\")} : <b className=\"text-ink\">{(r.modelWeight * 100).toFixed(0)} %</b>\n            </p>\n          </div>\n          <div className=\"rise sm:pl-10\" style={{ animationDelay: \"100ms\" }}>\n            <p className=\"klabel\">{t(\"compsPart\")}</p>\n            <p className=\"vp-display mt-2 text-[clamp(30px,4vw,40px)] font-bold leading-none tracking-[-0.03em]\">\n              {r.compsEstimate != null ? (\n                <CountUp value={r.compsEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-2 text-[11px] uppercase tracking-[0.06em] text-ink-2\">\n              {t(\"weightComps\")} : <b className=\"text-ink\">{((1 - r.modelWeight) * 100).toFixed(0)} %</b> · {r.nCompsUsed} comps\n              {r.compsDispersionPct != null ? ` · ±${r.compsDispersionPct} %` : \"\"}\n            </p>\n          </div>\n        </div>\n      </section>\n\n      {/* ================= 03 — marché local ================= */}\n      {ctx && (ctx.index.length >= 6 || ctx.sector || ctx.muniPercentile != null) && (\n        <section>\n          <Sect\n            num=\"03\"\n            kicker={fr ? \"Contexte de marché\" : \"Market context\"}\n            title={fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}\n          />\n          <div className=\"mt-6 grid items-start gap-x-10 gap-y-8 lg:grid-cols-[1.4fr_1fr]\">\n            {/* trajectoire du marché */}\n            {ctx.index.length >= 6 && (\n              <div className=\"rise\">\n                <div className=\"flex flex-wrap items-center justify-between gap-2\">\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Indice de marché — ${t(ctx.typeProp as TKey)} (base 100 en ${ctx.index[0].month.slice(0, 4)})`\n                      : `Market index — ${t(ctx.typeProp as TKey)} (base 100 in ${ctx.index[0].month.slice(0, 4)})`}\n                  </p>\n                  <p className=\"vp-mono flex gap-4 text-[11px] text-ink-2\">\n                    {ctx.index12mPct != null && (\n                      <span>\n                        12 {fr ? \"mois\" : \"mo\"}{\" \"}\n                        <b className={ctx.index12mPct >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>\n                          {ctx.index12mPct >= 0 ? \"+\" : \"\"}\n                          {ctx.index12mPct.toFixed(1)} %\n                        </b>\n                      </span>\n                    )}\n                    {ctx.indexSince2021Pct != null && (\n                      <span>\n                        {ctx.index[0].month.slice(0, 4)}→{\" \"}\n                        <b className={ctx.indexSince2021Pct >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>\n                          {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}\n                          {ctx.indexSince2021Pct.toFixed(0)} %\n                        </b>\n                      </span>\n                    )}\n                  </p>\n                </div>\n                <div className=\"mt-3\">\n                  <MarketIndexChart series={ctx.index} lang={lang} />\n                </div>\n                <p className=\"vp-mono mt-2 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n                  {fr\n                    ? \"Indice utilisé pour l'ajustement « marché » des comparables — même donnée, même calcul.\"\n                    : \"Index used for the comparables' market adjustment — same data, same math.\"}\n                </p>\n              </div>\n            )}\n            <div className=\"flex flex-col gap-7 lg:border-l lg:border-[var(--line)] lg:pl-10\">\n              {/* ventes du secteur */}\n              {ctx.sector && (\n                <div className=\"rise\" style={{ animationDelay: \"80ms\" }}>\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Ventes réelles — rayon ${ctx.sector.radiusKm} km · 12 mois`\n                      : `Real sales — ${ctx.sector.radiusKm} km radius · 12 months`}\n                  </p>\n                  <div className=\"mt-2 grid grid-cols-3 gap-x-4\">\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Ventes\" : \"Sales\"}</p>\n                      <p className=\"v\">{ctx.sector.nSales12m}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Prix médian\" : \"Median price\"}</p>\n                      <p className=\"v\">{ctx.sector.medianPrice != null ? fmt(Math.round(ctx.sector.medianPrice), lang) : \"—\"}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">$/m² {fr ? \"médian\" : \"median\"}</p>\n                      <p className=\"v\">\n                        {ctx.sector.medianPpm2 != null\n                          ? locNum(Math.round(ctx.sector.medianPpm2), lang, { maxFrac: 0 })\n                          : \"—\"}\n                      </p>\n                    </div>\n                  </div>\n                  {ctx.sector.medianPrice != null && r.estimate > 0 && (\n                    <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-2\">\n                      {fr ? \"Cette propriété\" : \"This property\"} :{\" \"}\n                      <b className=\"text-ink\">\n                        {r.estimate >= ctx.sector.medianPrice ? \"+\" : \"−\"}\n                        {Math.abs((r.estimate / ctx.sector.medianPrice - 1) * 100).toFixed(0)} %\n                      </b>{\" \"}\n                      {fr ? \"vs médiane du secteur\" : \"vs sector median\"}\n                    </p>\n                  )}\n                </div>\n              )}\n              {/* position dans la municipalité */}\n              {ctx.muniPercentile != null && u?.municipalite && (\n                <div className=\"rise\" style={{ animationDelay: \"160ms\" }}>\n                  <p className=\"klabel\">\n                    {fr ? `Position dans ${u.municipalite}` : `Position in ${u.municipalite}`}\n                  </p>\n                  <div className=\"mt-3\">\n                    <PercentileBar pct={ctx.muniPercentile} lang={lang} />\n                  </div>\n                  <p className=\"mt-3 text-[13px] text-ink-2\">\n                    {fr ? (\n                      <>\n                        Vaut plus que{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> des{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        propriétés estimées de la municipalité.\n                      </>\n                    ) : (\n                      <>\n                        Worth more than{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> of the{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        estimated properties in the municipality.\n                      </>\n                    )}\n                  </p>\n                </div>\n              )}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ================= 04 — historique ================= */}\n      {u && u.history.some((h) => h.value != null) && (\n        <section>\n          <Sect num=\"04\" kicker=\"2021 → 2026\" title={t(\"history\")} />\n          <div className=\"mt-6 max-w-3xl\">\n            <div className=\"flex flex-col gap-2\">\n              {u.history.map((h, i) => {\n                const prev = i > 0 ? u.history[i - 1].value : null;\n                const yoy =\n                  h.value != null && prev != null && prev > 0\n                    ? ((h.value / prev - 1) * 100)\n                    : null;\n                return (\n                  <div key={h.year} className=\"hbar-row grid grid-cols-[44px_1fr_auto] items-center gap-2 sm:grid-cols-[52px_1fr_auto] sm:gap-3\">\n                    <span className=\"vp-mono text-[12px] font-bold\">{h.year}</span>\n                    <span className=\"hbar-track\">\n                      <span\n                        className=\"hbar-fill grow-x\"\n                        style={{\n                          width: `${((h.value ?? 0) / histMax) * 100}%`,\n                          animationDelay: `${i * 90}ms`,\n                          background: h.year === 2026 ? \"var(--accent)\" : undefined,\n                        }}\n                      />\n                    </span>\n                    <span className=\"vp-mono flex items-center justify-end gap-2 text-[12px] font-bold\">\n                      {fmt(h.value, lang)}\n                      {yoy != null && (\n                        <span className={`text-[10px] font-medium ${yoy >= 0 ? \"text-ink-2\" : \"text-[var(--danger)]\"}`}>\n                          {yoy >= 0 ? \"+\" : \"\"}\n                          {yoy.toFixed(0)} %\n                        </span>\n                      )}\n                    </span>\n                  </div>\n                );\n              })}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ================= 05 — comparables ================= */}\n      <section>\n        <Sect\n          num=\"05\"\n          kicker={`${r.nCompsUsed} ${fr ? \"ventes réelles\" : \"real sales\"}`}\n          title={t(\"compsTitle\")}\n        />\n        <div className=\"mt-6 grid items-start gap-x-8 gap-y-6 lg:grid-cols-[1.05fr_1fr]\">\n          <div className=\"overflow-hidden border border-[var(--line-strong)]\">\n            <RadarMap\n              subject={{\n                lat: u?.lat ?? r.comps[0]?.lat ?? 46.81,\n                lng: u?.lng ?? r.comps[0]?.lng ?? -71.21,\n                label: u?.adresse ?? (fr ? \"Propriété estimée\" : \"Subject property\"),\n              }}\n              comps={r.comps.map((c) => ({\n                id: c.id,\n                lat: c.lat,\n                lng: c.lng,\n                label: `${c.street ?? \"\"}, ${c.city ?? \"\"}`,\n                price: fmt(c.amount, lang),\n                adjusted: fmt(Math.round(c.adjustedPrice), lang),\n                date: c.date,\n                distanceM: c.distanceM,\n                weight: c.weight,\n              }))}\n              highlight={activeComp}\n              onHover={setActiveComp}\n            />\n          </div>\n          <div className=\"src-wrap max-h-[560px] overflow-y-auto\">\n            <table className=\"src-table\">\n              <thead className=\"sticky top-0 z-10 bg-paper\">\n                <tr>\n                  <th>#</th>\n                  <th>{fr ? \"Vente\" : \"Sale\"}</th>\n                  <th className=\"text-right\">{t(\"adjusted\")}</th>\n                </tr>\n              </thead>\n              <tbody>\n                {r.comps.map((c, i) => (\n                  <tr\n                    key={c.id}\n                    onMouseEnter={() => setActiveComp(c.id)}\n                    onMouseLeave={() => setActiveComp(null)}\n                    className={activeComp === c.id ? \"!bg-surface-2\" : \"\"}\n                  >\n                    <td>\n                      <span\n                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center text-[11px] font-bold ${\n                          activeComp === c.id ? \"bg-accent text-white\" : \"bg-ink text-paper\"\n                        }`}\n                      >\n                        {i + 1}\n                      </span>\n                    </td>\n                    <td>\n                      <p className=\"font-semibold leading-tight\">\n                        {c.street}, {c.city}\n                      </p>\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                        {c.date} · {c.distanceM < 1000 ? `${Math.round(c.distanceM)} m` : `${(c.distanceM / 1000).toFixed(1)} km`} ·{\" \"}\n                        {t(\"sold\")} {fmt(c.amount, lang)}\n                        {c.floorArea && c.floorArea > 20\n                          ? ` (${locNum(Math.round(c.amount / c.floorArea), lang, { maxFrac: 0 })} $/m²)`\n                          : \"\"}\n                      </p>\n                      {(c.floorArea || c.yearBuilt) && (\n                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                          {[\n                            c.floorArea ? locNum(c.floorArea, lang, { unit: \"m²\" }) : null,\n                            c.yearBuilt ? `${fr ? \"constr.\" : \"built\"} ${c.yearBuilt}` : null,\n                          ]\n                            .filter(Boolean)\n                            .join(\" · \")}\n                        </p>\n                      )}\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] text-ink-2\">\n                        {t(\"adjTime\")} {signed(c.adjTime, lang)} · {t(\"adjArea\")} {signed(c.adjArea, lang)} ·{\" \"}\n                        {t(\"adjAge\")} {signed(c.adjAge, lang)}\n                      </p>\n                    </td>\n                    <td className=\"vp-display text-right font-bold\">\n                      {fmt(Math.round(c.adjustedPrice), lang)}\n                      <p className=\"vp-mono text-[10px] font-normal text-ink-3\">\n                        {t(\"weight\")} {(c.weight * 100).toFixed(0)} %\n                      </p>\n                    </td>\n                  </tr>\n                ))}\n              </tbody>\n            </table>\n          </div>\n        </div>\n      </section>\n\n      {/* ================= alerte de valeur ================= */}\n      <section className=\"bleed vp-dark\">\n        <div className=\"mx-auto max-w-6xl px-4 py-10 sm:px-6 sm:py-12\">\n          <span className=\"sec-num !text-[var(--accent-bright)]\">\n            06 — {fr ? \"Suivi\" : \"Watch\"}\n          </span>\n          <h2 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase tracking-[-0.025em] text-[var(--paper-on-ink)]\">\n            {t(\"leadTitle\")}\n          </h2>\n          <div className=\"mt-5 max-w-xl\">\n            <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />\n          </div>\n        </div>\n      </section>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":1,"oldLines":4,"newStart":1,"newLines":10,"lines":[" // Auteur : Simon-Pierre Boucher — contact@spboucher.ai","+/**","+ * ResultView — le « rapport de valeur » : l'écran central du produit.","+ * Composition éditoriale v2 : masthead de rapport, estimation en très grands","+ * chiffres, sections numérotées à filets (registre, calcul, marché, historique,","+ * comparables), zéro carte — la hiérarchie vient de la typographie et des filets.","+ */"," \"use client\";"," import { useState } from \"react\";"," import Link from \"next/link\";"]},{"oldStart":43,"oldLines":6,"newStart":49,"newLines":20,"lines":["   );"," }"," ","+/** En-tête de section du rapport : filet fort + numéro mono rouge. */","+function Sect({ num, kicker, title }: { num: string; kicker: string; title: string }) {","+  return (","+    <header className=\"sec\">","+      <span className=\"sec-num\">","+        {num} — {kicker}","+      </span>","+      <h2 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-[1.05] tracking-[-0.025em]\">","+        {title}","+      </h2>","+    </header>","+  );","+}","+"," export default function ResultView({ data }: { data: UnitEstimate }) {","   const { lang, t } = useLang();","   const [activeComp, setActiveComp] = useState<string | null>(null);"]},{"oldStart":60,"oldLines":49,"newStart":80,"newLines":53,"lines":["     }).format(Math.round(v / 100) * 100);"," ","   return (","-    <div className=\"space-y-10 py-8\">","-      {/* fil d'ariane */}","-      <nav className=\"vp-mono flex flex-wrap items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">","-        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">","-          Vrai-Prix","-        </Link>","-        <span>/</span>","-        <span>{u ? `${u.adresse ?? \"\"} · ${u.municipalite ?? \"\"}` : t(\"manualTitle\")}</span>","-      </nav>","+    <div className=\"space-y-12 py-8\">","+      {/* ================= masthead du rapport ================= */}","+      <section className=\"rise\">","+        <div className=\"flex flex-wrap items-baseline justify-between gap-x-4 gap-y-1 border-b-2 border-ink pb-2.5\">","+          <nav className=\"vp-mono flex min-w-0 flex-wrap items-center gap-2 text-[10.5px] uppercase tracking-[0.08em] text-ink-3\">","+            <Link href=\"/\" className=\"text-ink-2 hover:text-accent-deep\">","+              Vrai-Prix","+            </Link>","+            <span aria-hidden=\"true\">/</span>","+            <span>{fr ? \"Rapport de valeur\" : \"Value report\"}</span>","+            {u && (","+              <>","+                <span aria-hidden=\"true\">/</span>","+                <span className=\"truncate\">{u.id}</span>","+              </>","+            )}","+          </nav>","+          {u && (","+            <FavButton","+              size=\"lg\"","+              item={{","+                item_id: u.id,","+                title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,","+                subtitle: u.municipalite ?? \"\",","+                price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",","+                url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,","+              }}","+            />","+          )}","+        </div>"," ","-      {/* ---- Panneau prix ---- */}","-      <section className=\"vp-card rise p-6 sm:p-8\">","-        <div className=\"flex flex-wrap items-start justify-between gap-6\">","-          {/* basis large : sous ~380px de large la jauge passe dessous au lieu d'écraser la colonne */}","-          <div className=\"min-w-0 flex-1 basis-[300px]\">","-            <div className=\"flex items-center justify-between gap-3\">","-              <span className=\"kicker\">{t(\"estimatedValue\")}</span>","-              {/* ♥ Mon univers Ka — favori unifié Groupe KA */}","-              {u && (","-                <FavButton","-                  size=\"lg\"","-                  item={{","-                    item_id: u.id,","-                    title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,","-                    subtitle: u.municipalite ?? \"\",","-                    price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",","-                    url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,","-                  }}","-                />","-              )}","-            </div>","+        <div className=\"mt-6 grid gap-x-12 gap-y-8 lg:grid-cols-[1.5fr_1fr]\">","+          {/* colonne principale : adresse + estimation en très grands chiffres */}","+          <div className=\"min-w-0\">","             {u && (","-              <h1 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-tight tracking-[-0.02em]\">","+              <h1 className=\"vp-display text-[clamp(19px,2.6vw,26px)] font-bold uppercase leading-tight tracking-[-0.02em]\">","                 {u.adresse}","                 {s?.apt ? ` app. ${s.apt}` : \"\"}","                 {u.municipalite ? <span className=\"text-ink-3\"> · {u.municipalite}</span> : null}","               </h1>","             )}","-            <p className=\"vp-display mt-3 text-[clamp(44px,7vw,72px)] font-bold leading-none tracking-[-0.04em]\">","+            <p className=\"klabel mt-5\">{t(\"estimatedValue\")}</p>","+            <p className=\"vp-display mt-1 text-[clamp(52px,9vw,96px)] font-bold leading-none tracking-[-0.045em]\">","               <CountUp value={r.estimate} format={moneyFmt} />","             </p>","-            {/* faits rapides */}","-            <div className=\"mt-4 flex flex-wrap gap-2\">","+            {/* faits rapides — ligne mono, pas de pastilles */}","+            <p className=\"vp-mono mt-4 text-[11px] uppercase tracking-[0.06em] text-ink-2\">","               {[","                 u ? t(u.typeProp as TKey) : null,","                 u?.aireEtagesM2 && r.estimate > 0"]},{"oldStart":115,"oldLines":17,"newStart":139,"newLines":10,"lines":["                   : null,","               ]","                 .filter((x): x is string => x != null)","-                .map((x) => (","-                  <span","-                    key={x}","-                    className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1 text-[11px] font-bold uppercase tracking-[0.04em]\"","-                  >","-                    {x}","-                  </span>","-                ))}","-            </div>","+                .join(\"  ·  \")}","+            </p>","             {/* fourchette visuelle P10-P90 avec position du rôle */}","-            <div className=\"mt-6 max-w-2xl\">","+            <div className=\"mt-7 max-w-2xl\">","               <p className=\"klabel mb-1\">{t(\"range\")}</p>","               <RangeBar","                 low={r.low}"]},{"oldStart":135,"oldLines":25,"newStart":152,"newLines":8,"lines":["                 lang={lang}","               />","             </div>","-            <div className=\"mt-5 flex flex-wrap items-center gap-x-6 gap-y-3\">","-              {u?.valeurRole != null && (","-                <div>","-                  <p className=\"klabel\">{t(\"assessed\")}</p>","-                  <p className=\"vp-display text-[19px] font-bold text-ink-2\">{fmt(u.valeurRole, lang)}</p>","-                </div>","-              )}","-              {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (","-                <div>","-                  <p className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</p>","-                  <p className=\"vp-display text-[19px] font-bold text-green-deep\">","-                    {r.estimate >= u.valeurRole ? \"+\" : \"\"}","-                    {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %","-                  </p>","-                </div>","-              )}","-            </div>","             {u && (","-              <div className=\"mt-6 flex flex-wrap gap-2.5\">","+              <div className=\"mt-7 flex flex-wrap gap-2.5\">","                 <a","                   href={`/api/report?id=${encodeURIComponent(u.id)}`}","                   className=\"btn btn-primary\""]},{"oldStart":167,"oldLines":37,"newStart":167,"newLines":63,"lines":["                   download","                   title={fr ? \"Structure de rapport d'évaluation — présentation bancaire\" : \"Appraisal-style structure — bank presentation\"}","                 >","-                  {fr ? \"Rapport détaillé format professionnel (banque)\" : \"Detailed professional report (bank)\"} ↓","+                  {fr ? \"Format professionnel (banque)\" : \"Professional format (bank)\"} ↓","                 </a>","               </div>","             )}","           </div>","-          <div className=\"shrink-0\">","-            <ConfidenceDial","-              pct={r.confidencePct}","-              level={r.confidenceLevel}","-              label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}","-            />","-          </div>","+","+          {/* colonne de lecture : confiance + rôle + écart, en cellules de données */}","+          <aside className=\"lg:border-l lg:border-[var(--line)] lg:pl-10\">","+            <div className=\"flex items-start justify-between gap-6 lg:block\">","+              <ConfidenceDial","+                pct={r.confidencePct}","+                level={r.confidenceLevel}","+                label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}","+              />","+              <dl className=\"grid flex-1 grid-cols-1 gap-x-6 sm:grid-cols-2 lg:mt-6 lg:grid-cols-1\">","+                {u?.valeurRole != null && (","+                  <div className=\"border-t border-[var(--line)] py-3\">","+                    <dt className=\"klabel\">{t(\"assessed\")}</dt>","+                    <dd className=\"vp-display mt-0.5 text-[22px] font-bold tracking-[-0.02em] text-ink-2\">","+                      {fmt(u.valeurRole, lang)}","+                    </dd>","+                  </div>","+                )}","+                {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (","+                  <div className=\"border-t border-[var(--line)] py-3\">","+                    <dt className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</dt>","+                    <dd","+                      className={`vp-display mt-0.5 text-[22px] font-bold tracking-[-0.02em] ${","+                        r.estimate >= u.valeurRole ? \"text-ink\" : \"text-[var(--danger)]\"","+                      }`}","+                    >","+                      {r.estimate >= u.valeurRole ? \"+\" : \"\"}","+                      {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %","+                    </dd>","+                  </div>","+                )}","+              </dl>","+            </div>","+          </aside>","         </div>","-        <p className=\"vp-mono mt-5 border-t-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">","+        <p className=\"vp-mono mt-7 border-t border-[var(--line)] pt-3 text-[10px] uppercase tracking-[0.05em] text-ink-3\">","           {t(\"disclaimer\")}","         </p>","       </section>"," ","-      {/* ---- Portrait de la propriété (bento du registre) ---- */}","+      {/* ================= 01 — portrait du registre ================= */}","       {u && s && (","         <section>","-          <span className=\"kicker\">{fr ? \"Registre officiel — dessiné par les données\" : \"Official record — drawn by the data\"}</span>","-          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-            {fr ? \"Portrait de la propriété\" : \"Property portrait\"}","-          </h2>","-          <div className=\"mt-4 grid gap-4 lg:grid-cols-3\">","+          <Sect","+            num=\"01\"","+            kicker={fr ? \"Registre officiel\" : \"Official record\"}","+            title={fr ? \"Portrait de la propriété\" : \"Property portrait\"}","+          />","+          <div className=\"mt-6 grid gap-x-10 gap-y-8 lg:grid-cols-3 lg:divide-x lg:divide-[var(--line)]\">","             {/* Bâtiment */}","-            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"60ms\" }}>","-              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">","-                {fr ? \"Bâtiment\" : \"Building\"}","-              </p>","+            <div className=\"rise\" style={{ animationDelay: \"60ms\" }}>","+              <p className=\"klabel\">{fr ? \"Bâtiment\" : \"Building\"}</p>","               <div className=\"flex justify-center py-2\">","                 <BuildingGlyph","                   floors={s.nbEtages}"]},{"oldStart":209,"oldLines":7,"newStart":235,"newLines":7,"lines":["                 />","               </div>","               <EraLine year={u.anneeConstruction} lang={lang} />","-              <div className=\"mt-3 grid grid-cols-2 gap-2\">","+              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">","                 <Chip k={fr ? \"Aire d'étages\" : \"Floor area\"} v={u.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : \"—\"} />","                 <Chip k={fr ? \"Étages × logements\" : \"Storeys × dwellings\"} v={`${s.nbEtages ?? \"—\"} × ${u.nbLogements ?? \"—\"}`} />","                 <Chip k={fr ? \"Genre\" : \"Style\"} v={s.genreConstruction ?? \"—\"} />"]},{"oldStart":217,"oldLines":10,"newStart":243,"newLines":8,"lines":["               </div>","             </div>","             {/* Terrain */}","-            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"140ms\" }}>","-              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">","-                {fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}","-              </p>","+            <div className=\"rise lg:pl-10\" style={{ animationDelay: \"140ms\" }}>","+              <p className=\"klabel\">{fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}</p>","               <div className=\"flex justify-center py-2\">","                 <LotDiagram","                   areaM2={u.superficieTerrainM2}"]},{"oldStart":232,"oldLines":7,"newStart":256,"newLines":7,"lines":["                   isCondo={!!s.apt || (u.nbLogements != null && u.nbLogements >= 1 && !u.superficieTerrainM2)}","                 />","               </div>","-              <div className=\"mt-3 grid grid-cols-2 gap-2\">","+              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">","                 <Chip k={fr ? \"Superficie\" : \"Area\"} v={u.superficieTerrainM2 ? locNum(u.superficieTerrainM2, lang, { unit: \"m²\" }) : \"—\"} />","                 <Chip k={fr ? \"Frontage\" : \"Frontage\"} v={s.frontTerrainM ? locNum(s.frontTerrainM, lang, { unit: \"m\" }) : \"—\"} />","                 <Chip k=\"CUBF\" v={s.cubf ?? \"—\"} />"]},{"oldStart":240,"oldLines":11,"newStart":264,"newLines":9,"lines":["               </div>","             </div>","             {/* Valeur au rôle */}","-            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"220ms\" }}>","-              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">","-                {fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}","-              </p>","-              <p className=\"vp-display py-2 text-[26px] font-bold tracking-[-0.02em]\">","+            <div className=\"rise lg:pl-10\" style={{ animationDelay: \"220ms\" }}>","+              <p className=\"klabel\">{fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}</p>","+              <p className=\"vp-display py-2 text-[30px] font-bold tracking-[-0.025em]\">","                 {fmt(u.valeurRole, lang)}","               </p>","               <ValueSplit"]},{"oldStart":259,"oldLines":18,"newStart":281,"newLines":18,"lines":["                   previous: fr ? \"Rôle antérieur\" : \"Previous roll\",","                 }}","               />","-              <div className=\"mt-3 grid grid-cols-2 gap-2\">","+              <div className=\"mt-3 grid grid-cols-2 gap-x-4 gap-y-2\">","                 <Chip k={fr ? \"Cond. marché au\" : \"Market cond.\"} v={s.datCondMarche ?? \"—\"} />","                 <Chip k={fr ? \"Matricule\" : \"Roll no.\"} v={s.matricule ?? \"—\"} />","               </div>","             </div>","           </div>","           {/* registre brut complet */}","-          <details className=\"vp-card mt-4 p-5\">","-            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-green-deep\">","-              {fr ? \"▸ Toutes les données du registre (brutes)\" : \"▸ All registry data (raw)\"}","+          <details className=\"mt-6 border-t border-[var(--line)] pt-4\">","+            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-accent-deep hover:text-accent\">","+              ▸ {fr ? \"Toutes les données du registre (brutes)\" : \"All registry data (raw)\"}","             </summary>","-            <div className=\"mt-4 grid grid-cols-2 gap-2 sm:grid-cols-4\">","+            <div className=\"mt-4 grid grid-cols-2 gap-x-4 gap-y-2 sm:grid-cols-4\">","               <Chip k={fr ? \"Année construction\" : \"Year built\"} v={u.anneeConstruction ? `${u.anneeConstruction}${s.anneeEstimee === \"E\" ? (fr ? \" (estimée)\" : \" (est.)\") : \"\"}` : \"—\"} />","               <Chip k={fr ? \"Locaux non résid.\" : \"Non-res. units\"} v={s.nbLocauxNonResid ?? \"—\"} />","               <Chip k={fr ? \"Chambres locatives\" : \"Rental rooms\"} v={s.nbChambresLocatives ?? \"—\"} />"]},{"oldStart":286,"oldLines":74,"newStart":308,"newLines":78,"lines":["         </section>","       )}"," ","-      {/* ---- Transparence du calcul ---- */}","+      {/* ================= 02 — transparence du calcul ================= */}","       <section>","-        <span className=\"kicker\">{fr ? \"Transparence\" : \"Transparency\"}</span>","-        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-          {t(\"whyTitle\")}","-        </h2>","-        <div className=\"mt-4 grid gap-4 sm:grid-cols-2\">","-          <div className=\"vp-card vp-card-hover rise p-5\">","+        <Sect num=\"02\" kicker={fr ? \"Transparence\" : \"Transparency\"} title={t(\"whyTitle\")} />","+        <div className=\"mt-6 grid gap-x-10 gap-y-6 sm:grid-cols-2 sm:divide-x sm:divide-[var(--line)]\">","+          <div className=\"rise\">","             <p className=\"klabel\">{t(\"modelPart\")}</p>","-            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">","+            <p className=\"vp-display mt-2 text-[clamp(30px,4vw,40px)] font-bold leading-none tracking-[-0.03em]\">","               {r.modelEstimate != null ? (","                 <CountUp value={r.modelEstimate} format={moneyFmt} />","               ) : (","                 \"—\"","               )}","             </p>","-            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">","-              {t(\"weightModel\")} : {(r.modelWeight * 100).toFixed(0)} %","+            <p className=\"vp-mono mt-2 text-[11px] uppercase tracking-[0.06em] text-ink-2\">","+              {t(\"weightModel\")} : <b className=\"text-ink\">{(r.modelWeight * 100).toFixed(0)} %</b>","             </p>","           </div>","-          <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"100ms\" }}>","+          <div className=\"rise sm:pl-10\" style={{ animationDelay: \"100ms\" }}>","             <p className=\"klabel\">{t(\"compsPart\")}</p>","-            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">","+            <p className=\"vp-display mt-2 text-[clamp(30px,4vw,40px)] font-bold leading-none tracking-[-0.03em]\">","               {r.compsEstimate != null ? (","                 <CountUp value={r.compsEstimate} format={moneyFmt} />","               ) : (","                 \"—\"","               )}","             </p>","-            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">","-              {t(\"weightComps\")} : {((1 - r.modelWeight) * 100).toFixed(0)} % · {r.nCompsUsed} comps","+            <p className=\"vp-mono mt-2 text-[11px] uppercase tracking-[0.06em] text-ink-2\">","+              {t(\"weightComps\")} : <b className=\"text-ink\">{((1 - r.modelWeight) * 100).toFixed(0)} %</b> · {r.nCompsUsed} comps","               {r.compsDispersionPct != null ? ` · ±${r.compsDispersionPct} %` : \"\"}","             </p>","           </div>","         </div>","       </section>"," ","-      {/* ---- Marché local ---- */}","+      {/* ================= 03 — marché local ================= */}","       {ctx && (ctx.index.length >= 6 || ctx.sector || ctx.muniPercentile != null) && (","         <section>","-          <span className=\"kicker\">{fr ? \"Contexte de marché\" : \"Market context\"}</span>","-          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-            {fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}","-          </h2>","-          <div className=\"mt-4 grid items-stretch gap-4 lg:grid-cols-[1.35fr_1fr]\">","+          <Sect","+            num=\"03\"","+            kicker={fr ? \"Contexte de marché\" : \"Market context\"}","+            title={fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}","+          />","+          <div className=\"mt-6 grid items-start gap-x-10 gap-y-8 lg:grid-cols-[1.4fr_1fr]\">","             {/* trajectoire du marché */}","             {ctx.index.length >= 6 && (","-              <div className=\"vp-card rise p-5\">","+              <div className=\"rise\">","                 <div className=\"flex flex-wrap items-center justify-between gap-2\">","                   <p className=\"klabel\">","                     {fr","                       ? `Indice de marché — ${t(ctx.typeProp as TKey)} (base 100 en ${ctx.index[0].month.slice(0, 4)})`","                       : `Market index — ${t(ctx.typeProp as TKey)} (base 100 in ${ctx.index[0].month.slice(0, 4)})`}","                   </p>","-                  <div className=\"flex gap-2\">","+                  <p className=\"vp-mono flex gap-4 text-[11px] text-ink-2\">","                     {ctx.index12mPct != null && (","-                      <span className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${ctx.index12mPct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>","-                        12 {fr ? \"mois\" : \"mo\"} {ctx.index12mPct >= 0 ? \"+\" : \"\"}","-                        {ctx.index12mPct.toFixed(1)} %","+                      <span>","+                        12 {fr ? \"mois\" : \"mo\"}{\" \"}","+                        <b className={ctx.index12mPct >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>","+                          {ctx.index12mPct >= 0 ? \"+\" : \"\"}","+                          {ctx.index12mPct.toFixed(1)} %","+                        </b>","                       </span>","                     )}","                     {ctx.indexSince2021Pct != null && (","-                      <span className=\"vp-mono rounded-[4px] border border-ink bg-surface-2 px-1.5 py-0.5 text-[10px] font-bold text-ink-2\">","-                        {ctx.index[0].month.slice(0, 4)}→ {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}","-                        {ctx.indexSince2021Pct.toFixed(0)} %","+                      <span>","+                        {ctx.index[0].month.slice(0, 4)}→{\" \"}","+                        <b className={ctx.indexSince2021Pct >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}>","+                          {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}","+                          {ctx.indexSince2021Pct.toFixed(0)} %","+                        </b>","                       </span>","                     )}","-                  </div>","+                  </p>","                 </div>","                 <div className=\"mt-3\">","                   <MarketIndexChart series={ctx.index} lang={lang} />"]},{"oldStart":365,"oldLines":16,"newStart":391,"newLines":16,"lines":["                 </p>","               </div>","             )}","-            <div className=\"flex flex-col gap-4\">","+            <div className=\"flex flex-col gap-7 lg:border-l lg:border-[var(--line)] lg:pl-10\">","               {/* ventes du secteur */}","               {ctx.sector && (","-                <div className=\"vp-card rise p-5\" style={{ animationDelay: \"80ms\" }}>","+                <div className=\"rise\" style={{ animationDelay: \"80ms\" }}>","                   <p className=\"klabel\">","                     {fr","                       ? `Ventes réelles — rayon ${ctx.sector.radiusKm} km · 12 mois`","                       : `Real sales — ${ctx.sector.radiusKm} km radius · 12 months`}","                   </p>","-                  <div className=\"mt-3 grid grid-cols-3 gap-2\">","+                  <div className=\"mt-2 grid grid-cols-3 gap-x-4\">","                     <div className=\"kv-cell\">","                       <p className=\"k\">{fr ? \"Ventes\" : \"Sales\"}</p>","                       <p className=\"v\">{ctx.sector.nSales12m}</p>"]},{"oldStart":406,"oldLines":7,"newStart":432,"newLines":7,"lines":["               )}","               {/* position dans la municipalité */}","               {ctx.muniPercentile != null && u?.municipalite && (","-                <div className=\"vp-card rise flex-1 p-5\" style={{ animationDelay: \"160ms\" }}>","+                <div className=\"rise\" style={{ animationDelay: \"160ms\" }}>","                   <p className=\"klabel\">","                     {fr ? `Position dans ${u.municipalite}` : `Position in ${u.municipalite}`}","                   </p>"]},{"oldStart":437,"oldLines":14,"newStart":463,"newLines":11,"lines":["         </section>","       )}"," ","-      {/* ---- Historique ---- */}","+      {/* ================= 04 — historique ================= */}","       {u && u.history.some((h) => h.value != null) && (","         <section>","-          <span className=\"kicker\">2021 → 2026</span>","-          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-            {t(\"history\")}","-          </h2>","-          <div className=\"vp-card rise mt-4 p-5 sm:p-6\">","+          <Sect num=\"04\" kicker=\"2021 → 2026\" title={t(\"history\")} />","+          <div className=\"mt-6 max-w-3xl\">","             <div className=\"flex flex-col gap-2\">","               {u.history.map((h, i) => {","                 const prev = i > 0 ? u.history[i - 1].value : null;"]},{"oldStart":461,"oldLines":14,"newStart":484,"newLines":14,"lines":["                         style={{","                           width: `${((h.value ?? 0) / histMax) * 100}%`,","                           animationDelay: `${i * 90}ms`,","-                          background: h.year === 2026 ? \"var(--ink)\" : undefined,","+                          background: h.year === 2026 ? \"var(--accent)\" : undefined,","                         }}","                       />","                     </span>","                     <span className=\"vp-mono flex items-center justify-end gap-2 text-[12px] font-bold\">","                       {fmt(h.value, lang)}","                       {yoy != null && (","-                        <span className={`rounded-[4px] border border-ink px-1 py-px text-[9px] ${yoy >= 0 ? \"bg-lime-soft text-green-deep\" : \"bg-[var(--danger-soft)] text-[var(--danger)]\"}`}>","+                        <span className={`text-[10px] font-medium ${yoy >= 0 ? \"text-ink-2\" : \"text-[var(--danger)]\"}`}>","                           {yoy >= 0 ? \"+\" : \"\"}","                           {yoy.toFixed(0)} %","                         </span>"]},{"oldStart":482,"oldLines":16,"newStart":505,"newLines":15,"lines":["         </section>","       )}"," ","-      {/* ---- Plan des comparables (carte maison) ---- */}","+      {/* ================= 05 — comparables ================= */}","       <section>","-        <span className=\"kicker\">","-          {r.nCompsUsed} {fr ? \"ventes réelles\" : \"real sales\"}","-        </span>","-        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">","-          {t(\"compsTitle\")}","-        </h2>","-        <div className=\"mt-4 grid items-start gap-4 lg:grid-cols-[1.05fr_1fr]\">","-          <div className=\"overflow-hidden rounded-[10px] border-[1.5px] border-ink shadow-[8px_8px_0_rgba(20,24,20,0.08)]\">","+        <Sect","+          num=\"05\"","+          kicker={`${r.nCompsUsed} ${fr ? \"ventes réelles\" : \"real sales\"}`}","+          title={t(\"compsTitle\")}","+        />","+        <div className=\"mt-6 grid items-start gap-x-8 gap-y-6 lg:grid-cols-[1.05fr_1fr]\">","+          <div className=\"overflow-hidden border border-[var(--line-strong)]\">","             <RadarMap","               subject={{","                 lat: u?.lat ?? r.comps[0]?.lat ?? 46.81,"]},{"oldStart":515,"oldLines":7,"newStart":537,"newLines":7,"lines":["           </div>","           <div className=\"src-wrap max-h-[560px] overflow-y-auto\">","             <table className=\"src-table\">","-              <thead className=\"sticky top-0 z-10\">","+              <thead className=\"sticky top-0 z-10 bg-paper\">","                 <tr>","                   <th>#</th>","                   <th>{fr ? \"Vente\" : \"Sale\"}</th>"]},{"oldStart":528,"oldLines":12,"newStart":550,"newLines":12,"lines":["                     key={c.id}","                     onMouseEnter={() => setActiveComp(c.id)}","                     onMouseLeave={() => setActiveComp(null)}","-                    className={activeComp === c.id ? \"!bg-lime-soft\" : \"\"}","+                    className={activeComp === c.id ? \"!bg-surface-2\" : \"\"}","                   >","                     <td>","                       <span","-                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center rounded-full border-[1.5px] border-ink text-[11px] font-bold ${","-                          activeComp === c.id ? \"bg-lime text-ink\" : \"bg-green text-paper\"","+                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center text-[11px] font-bold ${","+                          activeComp === c.id ? \"bg-accent text-white\" : \"bg-ink text-paper\"","                         }`}","                       >","                         {i + 1}"]},{"oldStart":579,"oldLines":13,"newStart":601,"newLines":18,"lines":["         </div>","       </section>"," ","-      {/* ---- Lead ---- */}","-      <section className=\"rounded-[10px] border-[1.5px] border-ink bg-ink p-6 text-paper shadow-[8px_8px_0_rgba(20,24,20,0.2)] sm:p-8\">","-        <h2 className=\"vp-display text-[22px] font-bold uppercase tracking-[-0.02em] text-lime\">","-          {t(\"leadTitle\")}","-        </h2>","-        <div className=\"mt-4 max-w-xl\">","-          <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />","+      {/* ================= alerte de valeur ================= */}","+      <section className=\"bleed vp-dark\">","+        <div className=\"mx-auto max-w-6xl px-4 py-10 sm:px-6 sm:py-12\">","+          <span className=\"sec-num !text-[var(--accent-bright)]\">","+            06 — {fr ? \"Suivi\" : \"Watch\"}","+          </span>","+          <h2 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase tracking-[-0.025em] text-[var(--paper-on-ink)]\">","+            {t(\"leadTitle\")}","+          </h2>","+          <div className=\"mt-5 max-w-xl\">","+            <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />","+          </div>","         </div>","       </section>","     </div>"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport Link from \"next/link\";\nimport { useLang } from \"./LangContext\";\nimport LeadForm from \"./LeadForm\";\nimport RadarMap from \"./RadarMap\";\nimport FavButton from \"./FavButton\";\nimport {\n  BuildingGlyph,\n  ConfidenceDial,\n  CountUp,\n  EraLine,\n  locNum,\n  LotDiagram,\n  MarketIndexChart,\n  PercentileBar,\n  RangeBar,\n  ValueSplit,\n} from \"./MetricViz\";\nimport type { EstimateResult } from \"@/lib/engine\";\nimport type { UnitEstimate } from \"@/lib/estimator\";\nimport type { TKey } from \"@/lib/i18n\";\n\nconst fmt = (v: number | null | undefined, lang: string) =>\n  v == null\n    ? \"—\"\n    : new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n        style: \"currency\",\n        currency: \"CAD\",\n        maximumFractionDigits: 0,\n      }).format(v);\n\nconst signed = (v: number, lang: string) =>\n  `${v >= 0 ? \"+\" : \"−\"}${fmt(Math.abs(Math.round(v)), lang)}`;\n\nfunction Chip({ k, v }: { k: string; v: string | number }) {\n  return (\n    <div className=\"kv-cell\">\n      <p className=\"k\">{k}</p>\n      <p className=\"v break-words\">{v}</p>\n    </div>\n  );\n}\n\nexport default function ResultView({ data }: { data: UnitEstimate }) {\n  const { lang, t } = useLang();\n  const [activeComp, setActiveComp] = useState<string | null>(null);\n  const r: EstimateResult = data.result;\n  const u = data.unit;\n  const ctx = data.context;\n  const s = u?.specs;\n  const fr = lang === \"fr\";\n  const histMax = Math.max(...(u?.history.map((h) => h.value ?? 0) ?? [0]), 1);\n  const moneyFmt = (v: number) =>\n    new Intl.NumberFormat(fr ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n    }).format(Math.round(v / 100) * 100);\n\n  return (\n    <div className=\"space-y-10 py-8\">\n      {/* fil d'ariane */}\n      <nav className=\"vp-mono flex flex-wrap items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">\n        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">\n          Vrai-Prix\n        </Link>\n        <span>/</span>\n        <span>{u ? `${u.adresse ?? \"\"} · ${u.municipalite ?? \"\"}` : t(\"manualTitle\")}</span>\n      </nav>\n\n      {/* ---- Panneau prix ---- */}\n      <section className=\"vp-card rise p-6 sm:p-8\">\n        <div className=\"flex flex-wrap items-start justify-between gap-6\">\n          {/* basis large : sous ~380px de large la jauge passe dessous au lieu d'écraser la colonne */}\n          <div className=\"min-w-0 flex-1 basis-[300px]\">\n            <div className=\"flex items-center justify-between gap-3\">\n              <span className=\"kicker\">{t(\"estimatedValue\")}</span>\n              {/* ♥ Mon univers Ka — favori unifié Groupe KA */}\n              {u && (\n                <FavButton\n                  size=\"lg\"\n                  item={{\n                    item_id: u.id,\n                    title: `${u.adresse ?? u.id}${s?.apt ? ` app. ${s.apt}` : \"\"}`,\n                    subtitle: u.municipalite ?? \"\",\n                    price_label: r.estimate > 0 ? moneyFmt(r.estimate) : \"\",\n                    url: `https://www.vrai-prix.com/estimation/${encodeURIComponent(u.id)}`,\n                  }}\n                />\n              )}\n            </div>\n            {u && (\n              <h1 className=\"vp-display mt-2 text-[clamp(20px,3vw,28px)] font-bold uppercase leading-tight tracking-[-0.02em]\">\n                {u.adresse}\n                {s?.apt ? ` app. ${s.apt}` : \"\"}\n                {u.municipalite ? <span className=\"text-ink-3\"> · {u.municipalite}</span> : null}\n              </h1>\n            )}\n            <p className=\"vp-display mt-3 text-[clamp(44px,7vw,72px)] font-bold leading-none tracking-[-0.04em]\">\n              <CountUp value={r.estimate} format={moneyFmt} />\n            </p>\n            {/* faits rapides */}\n            <div className=\"mt-4 flex flex-wrap gap-2\">\n              {[\n                u ? t(u.typeProp as TKey) : null,\n                u?.aireEtagesM2 && r.estimate > 0\n                  ? `${locNum(Math.round(r.estimate / u.aireEtagesM2), lang, { maxFrac: 0 })} $/m²`\n                  : null,\n                u?.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : null,\n                u?.anneeConstruction ? `${fr ? \"constr.\" : \"built\"} ${u.anneeConstruction}` : null,\n                u?.superficieTerrainM2\n                  ? `${fr ? \"terrain\" : \"lot\"} ${locNum(u.superficieTerrainM2, lang, { unit: \"m²\" })}`\n                  : null,\n              ]\n                .filter((x): x is string => x != null)\n                .map((x) => (\n                  <span\n                    key={x}\n                    className=\"vp-mono whitespace-nowrap rounded-[5px] border-[1.5px] border-ink bg-surface-2 px-2.5 py-1 text-[11px] font-bold uppercase tracking-[0.04em]\"\n                  >\n                    {x}\n                  </span>\n                ))}\n            </div>\n            {/* fourchette visuelle P10-P90 avec position du rôle */}\n            <div className=\"mt-6 max-w-2xl\">\n              <p className=\"klabel mb-1\">{t(\"range\")}</p>\n              <RangeBar\n                low={r.low}\n                estimate={r.estimate}\n                high={r.high}\n                role={u?.valeurRole ?? null}\n                lang={lang}\n              />\n            </div>\n            <div className=\"mt-5 flex flex-wrap items-center gap-x-6 gap-y-3\">\n              {u?.valeurRole != null && (\n                <div>\n                  <p className=\"klabel\">{t(\"assessed\")}</p>\n                  <p className=\"vp-display text-[19px] font-bold text-ink-2\">{fmt(u.valeurRole, lang)}</p>\n                </div>\n              )}\n              {u?.valeurRole != null && u.valeurRole > 0 && r.estimate > 0 && (\n                <div>\n                  <p className=\"klabel\">{fr ? \"Écart vs rôle\" : \"vs assessment\"}</p>\n                  <p className=\"vp-display text-[19px] font-bold text-green-deep\">\n                    {r.estimate >= u.valeurRole ? \"+\" : \"\"}\n                    {((r.estimate / u.valeurRole - 1) * 100).toFixed(0)} %\n                  </p>\n                </div>\n              )}\n            </div>\n            {u && (\n              <div className=\"mt-6 flex flex-wrap gap-2.5\">\n                <a\n                  href={`/api/report?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-primary\"\n                  download\n                >\n                  {fr ? \"Rapport PDF\" : \"PDF report\"} ↓\n                </a>\n                <a\n                  href={`/api/report/pro?id=${encodeURIComponent(u.id)}`}\n                  className=\"btn btn-ghost\"\n                  download\n                  title={fr ? \"Structure de rapport d'évaluation — présentation bancaire\" : \"Appraisal-style structure — bank presentation\"}\n                >\n                  {fr ? \"Rapport détaillé format professionnel (banque)\" : \"Detailed professional report (bank)\"} ↓\n                </a>\n              </div>\n            )}\n          </div>\n          <div className=\"shrink-0\">\n            <ConfidenceDial\n              pct={r.confidencePct}\n              level={r.confidenceLevel}\n              label={`${t(\"confidence\")} — ${t(`conf${r.confidenceLevel}` as TKey)}`}\n            />\n          </div>\n        </div>\n        <p className=\"vp-mono mt-5 border-t-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {t(\"disclaimer\")}\n        </p>\n      </section>\n\n      {/* ---- Portrait de la propriété (bento du registre) ---- */}\n      {u && s && (\n        <section>\n          <span className=\"kicker\">{fr ? \"Registre officiel — dessiné par les données\" : \"Official record — drawn by the data\"}</span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {fr ? \"Portrait de la propriété\" : \"Property portrait\"}\n          </h2>\n          <div className=\"mt-4 grid gap-4 lg:grid-cols-3\">\n            {/* Bâtiment */}\n            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"60ms\" }}>\n              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n                {fr ? \"Bâtiment\" : \"Building\"}\n              </p>\n              <div className=\"flex justify-center py-2\">\n                <BuildingGlyph\n                  floors={s.nbEtages}\n                  dwellings={u.nbLogements}\n                  genre={s.genreConstruction}\n                  yearBuilt={u.anneeConstruction}\n                  floorAreaM2={u.aireEtagesM2}\n                  lang={lang}\n                />\n              </div>\n              <EraLine year={u.anneeConstruction} lang={lang} />\n              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n                <Chip k={fr ? \"Aire d'étages\" : \"Floor area\"} v={u.aireEtagesM2 ? locNum(u.aireEtagesM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Étages × logements\" : \"Storeys × dwellings\"} v={`${s.nbEtages ?? \"—\"} × ${u.nbLogements ?? \"—\"}`} />\n                <Chip k={fr ? \"Genre\" : \"Style\"} v={s.genreConstruction ?? \"—\"} />\n                <Chip k={fr ? \"Lien physique\" : \"Physical link\"} v={s.lienPhysique ?? \"—\"} />\n              </div>\n            </div>\n            {/* Terrain */}\n            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"140ms\" }}>\n              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n                {fr ? \"Terrain — à l'échelle\" : \"Lot — to scale\"}\n              </p>\n              <div className=\"flex justify-center py-2\">\n                <LotDiagram\n                  areaM2={u.superficieTerrainM2}\n                  frontageM={s.frontTerrainM}\n                  footprintM2={\n                    u.aireEtagesM2 && s.nbEtages ? u.aireEtagesM2 / Math.max(1, s.nbEtages) : u.aireEtagesM2\n                  }\n                  lang={lang}\n                  isCondo={!!s.apt || (u.nbLogements != null && u.nbLogements >= 1 && !u.superficieTerrainM2)}\n                />\n              </div>\n              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n                <Chip k={fr ? \"Superficie\" : \"Area\"} v={u.superficieTerrainM2 ? locNum(u.superficieTerrainM2, lang, { unit: \"m²\" }) : \"—\"} />\n                <Chip k={fr ? \"Frontage\" : \"Frontage\"} v={s.frontTerrainM ? locNum(s.frontTerrainM, lang, { unit: \"m\" }) : \"—\"} />\n                <Chip k=\"CUBF\" v={s.cubf ?? \"—\"} />\n                <Chip k={fr ? \"Usage\" : \"Use\"} v={s.cubfLibelle ?? \"—\"} />\n              </div>\n            </div>\n            {/* Valeur au rôle */}\n            <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"220ms\" }}>\n              <p className=\"klabel mb-1 border-b-[1.5px] border-dashed border-[rgba(20,24,20,0.14)] pb-2\">\n                {fr ? \"Valeur au rôle 2026 — composition\" : \"2026 assessed value — split\"}\n              </p>\n              <p className=\"vp-display py-2 text-[26px] font-bold tracking-[-0.02em]\">\n                {fmt(u.valeurRole, lang)}\n              </p>\n              <ValueSplit\n                land={s.valeurTerrain}\n                building={s.valeurBatiment}\n                previous={s.valeurAnterieure}\n                total={u.valeurRole}\n                lang={lang}\n                labels={{\n                  land: fr ? \"Terrain\" : \"Land\",\n                  building: fr ? \"Bâtiment\" : \"Building\",\n                  previous: fr ? \"Rôle antérieur\" : \"Previous roll\",\n                }}\n              />\n              <div className=\"mt-3 grid grid-cols-2 gap-2\">\n                <Chip k={fr ? \"Cond. marché au\" : \"Market cond.\"} v={s.datCondMarche ?? \"—\"} />\n                <Chip k={fr ? \"Matricule\" : \"Roll no.\"} v={s.matricule ?? \"—\"} />\n              </div>\n            </div>\n          </div>\n          {/* registre brut complet */}\n          <details className=\"vp-card mt-4 p-5\">\n            <summary className=\"vp-mono cursor-pointer text-[11px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n              {fr ? \"▸ Toutes les données du registre (brutes)\" : \"▸ All registry data (raw)\"}\n            </summary>\n            <div className=\"mt-4 grid grid-cols-2 gap-2 sm:grid-cols-4\">\n              <Chip k={fr ? \"Année construction\" : \"Year built\"} v={u.anneeConstruction ? `${u.anneeConstruction}${s.anneeEstimee === \"E\" ? (fr ? \" (estimée)\" : \" (est.)\") : \"\"}` : \"—\"} />\n              <Chip k={fr ? \"Locaux non résid.\" : \"Non-res. units\"} v={s.nbLocauxNonResid ?? \"—\"} />\n              <Chip k={fr ? \"Chambres locatives\" : \"Rental rooms\"} v={s.nbChambresLocatives ?? \"—\"} />\n              <Chip k={fr ? \"Unité de voisinage\" : \"Neighbourhood\"} v={s.uniteVoisinage || \"—\"} />\n              <Chip k={fr ? \"Arrondissement\" : \"Borough\"} v={s.arrond || \"—\"} />\n              <Chip k={fr ? \"Adresses sur l'unité\" : \"Addresses\"} v={s.nAdresses ?? \"—\"} />\n              <Chip k={fr ? \"Valeur terrain\" : \"Land value\"} v={fmt(s.valeurTerrain, lang)} />\n              <Chip k={fr ? \"Valeur bâtiment\" : \"Building value\"} v={fmt(s.valeurBatiment, lang)} />\n              <Chip k={fr ? \"Rôle antérieur\" : \"Previous roll\"} v={fmt(s.valeurAnterieure, lang)} />\n              <Chip k=\"ID provincial\" v={u.id} />\n            </div>\n          </details>\n        </section>\n      )}\n\n      {/* ---- Transparence du calcul ---- */}\n      <section>\n        <span className=\"kicker\">{fr ? \"Transparence\" : \"Transparency\"}</span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {t(\"whyTitle\")}\n        </h2>\n        <div className=\"mt-4 grid gap-4 sm:grid-cols-2\">\n          <div className=\"vp-card vp-card-hover rise p-5\">\n            <p className=\"klabel\">{t(\"modelPart\")}</p>\n            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">\n              {r.modelEstimate != null ? (\n                <CountUp value={r.modelEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">\n              {t(\"weightModel\")} : {(r.modelWeight * 100).toFixed(0)} %\n            </p>\n          </div>\n          <div className=\"vp-card vp-card-hover rise p-5\" style={{ animationDelay: \"100ms\" }}>\n            <p className=\"klabel\">{t(\"compsPart\")}</p>\n            <p className=\"vp-display mt-2 text-[30px] font-bold tracking-[-0.03em]\">\n              {r.compsEstimate != null ? (\n                <CountUp value={r.compsEstimate} format={moneyFmt} />\n              ) : (\n                \"—\"\n              )}\n            </p>\n            <p className=\"vp-mono mt-1 text-[11px] uppercase tracking-[0.06em] text-green-deep\">\n              {t(\"weightComps\")} : {((1 - r.modelWeight) * 100).toFixed(0)} % · {r.nCompsUsed} comps\n              {r.compsDispersionPct != null ? ` · ±${r.compsDispersionPct} %` : \"\"}\n            </p>\n          </div>\n        </div>\n      </section>\n\n      {/* ---- Marché local ---- */}\n      {ctx && (ctx.index.length >= 6 || ctx.sector || ctx.muniPercentile != null) && (\n        <section>\n          <span className=\"kicker\">{fr ? \"Contexte de marché\" : \"Market context\"}</span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {fr ? \"Le marché autour de cette propriété\" : \"The market around this property\"}\n          </h2>\n          <div className=\"mt-4 grid items-stretch gap-4 lg:grid-cols-[1.35fr_1fr]\">\n            {/* trajectoire du marché */}\n            {ctx.index.length >= 6 && (\n              <div className=\"vp-card rise p-5\">\n                <div className=\"flex flex-wrap items-center justify-between gap-2\">\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Indice de marché — ${t(ctx.typeProp as TKey)} (base 100 en ${ctx.index[0].month.slice(0, 4)})`\n                      : `Market index — ${t(ctx.typeProp as TKey)} (base 100 in ${ctx.index[0].month.slice(0, 4)})`}\n                  </p>\n                  <div className=\"flex gap-2\">\n                    {ctx.index12mPct != null && (\n                      <span className={`vp-mono rounded-[4px] border border-ink px-1.5 py-0.5 text-[10px] font-bold ${ctx.index12mPct >= 0 ? \"bg-lime text-ink\" : \"bg-danger text-white\"}`}>\n                        12 {fr ? \"mois\" : \"mo\"} {ctx.index12mPct >= 0 ? \"+\" : \"\"}\n                        {ctx.index12mPct.toFixed(1)} %\n                      </span>\n                    )}\n                    {ctx.indexSince2021Pct != null && (\n                      <span className=\"vp-mono rounded-[4px] border border-ink bg-surface-2 px-1.5 py-0.5 text-[10px] font-bold text-ink-2\">\n                        {ctx.index[0].month.slice(0, 4)}→ {ctx.indexSince2021Pct >= 0 ? \"+\" : \"\"}\n                        {ctx.indexSince2021Pct.toFixed(0)} %\n                      </span>\n                    )}\n                  </div>\n                </div>\n                <div className=\"mt-3\">\n                  <MarketIndexChart series={ctx.index} lang={lang} />\n                </div>\n                <p className=\"vp-mono mt-2 text-[10px] uppercase tracking-[0.05em] text-ink-3\">\n                  {fr\n                    ? \"Indice utilisé pour l'ajustement « marché » des comparables — même donnée, même calcul.\"\n                    : \"Index used for the comparables' market adjustment — same data, same math.\"}\n                </p>\n              </div>\n            )}\n            <div className=\"flex flex-col gap-4\">\n              {/* ventes du secteur */}\n              {ctx.sector && (\n                <div className=\"vp-card rise p-5\" style={{ animationDelay: \"80ms\" }}>\n                  <p className=\"klabel\">\n                    {fr\n                      ? `Ventes réelles — rayon ${ctx.sector.radiusKm} km · 12 mois`\n                      : `Real sales — ${ctx.sector.radiusKm} km radius · 12 months`}\n                  </p>\n                  <div className=\"mt-3 grid grid-cols-3 gap-2\">\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Ventes\" : \"Sales\"}</p>\n                      <p className=\"v\">{ctx.sector.nSales12m}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">{fr ? \"Prix médian\" : \"Median price\"}</p>\n                      <p className=\"v\">{ctx.sector.medianPrice != null ? fmt(Math.round(ctx.sector.medianPrice), lang) : \"—\"}</p>\n                    </div>\n                    <div className=\"kv-cell\">\n                      <p className=\"k\">$/m² {fr ? \"médian\" : \"median\"}</p>\n                      <p className=\"v\">\n                        {ctx.sector.medianPpm2 != null\n                          ? locNum(Math.round(ctx.sector.medianPpm2), lang, { maxFrac: 0 })\n                          : \"—\"}\n                      </p>\n                    </div>\n                  </div>\n                  {ctx.sector.medianPrice != null && r.estimate > 0 && (\n                    <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.05em] text-ink-2\">\n                      {fr ? \"Cette propriété\" : \"This property\"} :{\" \"}\n                      <b className=\"text-ink\">\n                        {r.estimate >= ctx.sector.medianPrice ? \"+\" : \"−\"}\n                        {Math.abs((r.estimate / ctx.sector.medianPrice - 1) * 100).toFixed(0)} %\n                      </b>{\" \"}\n                      {fr ? \"vs médiane du secteur\" : \"vs sector median\"}\n                    </p>\n                  )}\n                </div>\n              )}\n              {/* position dans la municipalité */}\n              {ctx.muniPercentile != null && u?.municipalite && (\n                <div className=\"vp-card rise flex-1 p-5\" style={{ animationDelay: \"160ms\" }}>\n                  <p className=\"klabel\">\n                    {fr ? `Position dans ${u.municipalite}` : `Position in ${u.municipalite}`}\n                  </p>\n                  <div className=\"mt-3\">\n                    <PercentileBar pct={ctx.muniPercentile} lang={lang} />\n                  </div>\n                  <p className=\"mt-3 text-[13px] text-ink-2\">\n                    {fr ? (\n                      <>\n                        Vaut plus que{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> des{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        propriétés estimées de la municipalité.\n                      </>\n                    ) : (\n                      <>\n                        Worth more than{\" \"}\n                        <b className=\"text-ink\">{Math.round(ctx.muniPercentile)} %</b> of the{\" \"}\n                        {ctx.muniTotal != null ? locNum(ctx.muniTotal, lang, { maxFrac: 0 }) : \"\"}{\" \"}\n                        estimated properties in the municipality.\n                      </>\n                    )}\n                  </p>\n                </div>\n              )}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ---- Historique ---- */}\n      {u && u.history.some((h) => h.value != null) && (\n        <section>\n          <span className=\"kicker\">2021 → 2026</span>\n          <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n            {t(\"history\")}\n          </h2>\n          <div className=\"vp-card rise mt-4 p-5 sm:p-6\">\n            <div className=\"flex flex-col gap-2\">\n              {u.history.map((h, i) => {\n                const prev = i > 0 ? u.history[i - 1].value : null;\n                const yoy =\n                  h.value != null && prev != null && prev > 0\n                    ? ((h.value / prev - 1) * 100)\n                    : null;\n                return (\n                  <div key={h.year} className=\"hbar-row grid grid-cols-[44px_1fr_auto] items-center gap-2 sm:grid-cols-[52px_1fr_auto] sm:gap-3\">\n                    <span className=\"vp-mono text-[12px] font-bold\">{h.year}</span>\n                    <span className=\"hbar-track\">\n                      <span\n                        className=\"hbar-fill grow-x\"\n                        style={{\n                          width: `${((h.value ?? 0) / histMax) * 100}%`,\n                          animationDelay: `${i * 90}ms`,\n                          background: h.year === 2026 ? \"var(--ink)\" : undefined,\n                        }}\n                      />\n                    </span>\n                    <span className=\"vp-mono flex items-center justify-end gap-2 text-[12px] font-bold\">\n                      {fmt(h.value, lang)}\n                      {yoy != null && (\n                        <span className={`rounded-[4px] border border-ink px-1 py-px text-[9px] ${yoy >= 0 ? \"bg-lime-soft text-green-deep\" : \"bg-[var(--danger-soft)] text-[var(--danger)]\"}`}>\n                          {yoy >= 0 ? \"+\" : \"\"}\n                          {yoy.toFixed(0)} %\n                        </span>\n                      )}\n                    </span>\n                  </div>\n                );\n              })}\n            </div>\n          </div>\n        </section>\n      )}\n\n      {/* ---- Plan des comparables (carte maison) ---- */}\n      <section>\n        <span className=\"kicker\">\n          {r.nCompsUsed} {fr ? \"ventes réelles\" : \"real sales\"}\n        </span>\n        <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">\n          {t(\"compsTitle\")}\n        </h2>\n        <div className=\"mt-4 grid items-start gap-4 lg:grid-cols-[1.05fr_1fr]\">\n          <div className=\"overflow-hidden rounded-[10px] border-[1.5px] border-ink shadow-[8px_8px_0_rgba(20,24,20,0.08)]\">\n            <RadarMap\n              subject={{\n                lat: u?.lat ?? r.comps[0]?.lat ?? 46.81,\n                lng: u?.lng ?? r.comps[0]?.lng ?? -71.21,\n                label: u?.adresse ?? (fr ? \"Propriété estimée\" : \"Subject property\"),\n              }}\n              comps={r.comps.map((c) => ({\n                id: c.id,\n                lat: c.lat,\n                lng: c.lng,\n                label: `${c.street ?? \"\"}, ${c.city ?? \"\"}`,\n                price: fmt(c.amount, lang),\n                adjusted: fmt(Math.round(c.adjustedPrice), lang),\n                date: c.date,\n                distanceM: c.distanceM,\n                weight: c.weight,\n              }))}\n              highlight={activeComp}\n              onHover={setActiveComp}\n            />\n          </div>\n          <div className=\"src-wrap max-h-[560px] overflow-y-auto\">\n            <table className=\"src-table\">\n              <thead className=\"sticky top-0 z-10\">\n                <tr>\n                  <th>#</th>\n                  <th>{fr ? \"Vente\" : \"Sale\"}</th>\n                  <th className=\"text-right\">{t(\"adjusted\")}</th>\n                </tr>\n              </thead>\n              <tbody>\n                {r.comps.map((c, i) => (\n                  <tr\n                    key={c.id}\n                    onMouseEnter={() => setActiveComp(c.id)}\n                    onMouseLeave={() => setActiveComp(null)}\n                    className={activeComp === c.id ? \"!bg-lime-soft\" : \"\"}\n                  >\n                    <td>\n                      <span\n                        className={`vp-mono inline-flex h-6 w-6 items-center justify-center rounded-full border-[1.5px] border-ink text-[11px] font-bold ${\n                          activeComp === c.id ? \"bg-lime text-ink\" : \"bg-green text-paper\"\n                        }`}\n                      >\n                        {i + 1}\n                      </span>\n                    </td>\n                    <td>\n                      <p className=\"font-semibold leading-tight\">\n                        {c.street}, {c.city}\n                      </p>\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                        {c.date} · {c.distanceM < 1000 ? `${Math.round(c.distanceM)} m` : `${(c.distanceM / 1000).toFixed(1)} km`} ·{\" \"}\n                        {t(\"sold\")} {fmt(c.amount, lang)}\n                        {c.floorArea && c.floorArea > 20\n                          ? ` (${locNum(Math.round(c.amount / c.floorArea), lang, { maxFrac: 0 })} $/m²)`\n                          : \"\"}\n                      </p>\n                      {(c.floorArea || c.yearBuilt) && (\n                        <p className=\"vp-mono mt-0.5 text-[10.5px] uppercase tracking-[0.04em] text-ink-3\">\n                          {[\n                            c.floorArea ? locNum(c.floorArea, lang, { unit: \"m²\" }) : null,\n                            c.yearBuilt ? `${fr ? \"constr.\" : \"built\"} ${c.yearBuilt}` : null,\n                          ]\n                            .filter(Boolean)\n                            .join(\" · \")}\n                        </p>\n                      )}\n                      <p className=\"vp-mono mt-0.5 text-[10.5px] text-ink-2\">\n                        {t(\"adjTime\")} {signed(c.adjTime, lang)} · {t(\"adjArea\")} {signed(c.adjArea, lang)} ·{\" \"}\n                        {t(\"adjAge\")} {signed(c.adjAge, lang)}\n                      </p>\n                    </td>\n                    <td className=\"vp-display text-right font-bold\">\n                      {fmt(Math.round(c.adjustedPrice), lang)}\n                      <p className=\"vp-mono text-[10px] font-normal text-ink-3\">\n                        {t(\"weight\")} {(c.weight * 100).toFixed(0)} %\n                      </p>\n                    </td>\n                  </tr>\n                ))}\n              </tbody>\n            </table>\n          </div>\n        </div>\n      </section>\n\n      {/* ---- Lead ---- */}\n      <section className=\"rounded-[10px] border-[1.5px] border-ink bg-ink p-6 text-paper shadow-[8px_8px_0_rgba(20,24,20,0.2)] sm:p-8\">\n        <h2 className=\"vp-display text-[22px] font-bold uppercase tracking-[-0.02em] text-lime\">\n          {t(\"leadTitle\")}\n        </h2>\n        <div className=\"mt-4 max-w-xl\">\n          <LeadForm unitId={u?.id ?? null} estimate={r.estimate} />\n        </div>\n      </section>\n    </div>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a4a4f494-28a5-4bba-b89f-ea81353b8461","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"5c03b9fa-32f8-40c7-b88a-731070854a5b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"3f649fa2-d0c2-4b8c-9f66-203c34f17a10","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":198,"estimated_tokens_delta":48,"uuid":"ead5e946-84a3-4e7b-8904-bb5fb74c586d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAHUD6akJ1kfNaSeGxL","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12414,"cache_read_input_tokens":186386,"cache_creation":{"ephemeral_5m_input_tokens":12414,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7fc275c8-00fa-4cb3-b727-b9ba213098f0","request_id":"req_011CeQAHSjHw7TSKwSv5LXCv"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAHUD6akJ1kfNaSeGxL","type":"message","role":"assistant","content":[{"type":"text","text":"La section « alerte » du rapport est maintenant sur fond encre — je vérifie LeadForm et j'ajoute les surcharges sombres pour les champs :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12414,"cache_read_input_tokens":186386,"cache_creation":{"ephemeral_5m_input_tokens":12414,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b7fe4dfa-3a59-4cd0-b95d-657691465b0d","request_id":"req_011CeQAHSjHw7TSKwSv5LXCv"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAHUD6akJ1kfNaSeGxL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UzbroFYkZHSgWu1BFsYqV9","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12414,"cache_read_input_tokens":186386,"cache_creation":{"ephemeral_5m_input_tokens":12414,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a493a044-e234-4dac-876e-75fa24d605bb","request_id":"req_011CeQAHSjHw7TSKwSv5LXCv"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UzbroFYkZHSgWu1BFsYqV9","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport { useState } from \"react\";\n4\timport { useLang } from \"./LangContext\";\n5\t\n6\texport default function LeadForm({\n7\t  unitId,\n8\t  estimate,\n9\t}: {\n10\t  unitId: string | null;\n11\t  estimate: number;\n12\t}) {\n13\t  const { t } = useLang();\n14\t  const [email, setEmail] = useState(\"\");\n15\t  const [done, setDone] = useState(false);\n16\t  const [err, setErr] = useState(false);\n17\t\n18\t  const submit = async (e: React.FormEvent) => {\n19\t    e.preventDefault();\n20\t    setErr(false);\n21\t    const res = await fetch(\"/api/lead\", {\n22\t      method: \"POST\",\n23\t      headers: { \"Content-Type\": \"application/json\" },\n24\t      body: JSON.stringify({ email, unitId, estimate }),\n25\t    });\n26\t    if (res.ok) setDone(true);\n27\t    else setErr(true);\n28\t  };\n29\t\n30\t  if (done)\n31\t    return (\n32\t      <p className=\"vp-mono rounded-md border border-lime bg-[rgba(255,81,72,0.12)] px-4 py-3 text-[12px] font-bold uppercase tracking-[0.05em] text-lime\">\n33\t        ✓ {t(\"leadOk\")}\n34\t      </p>\n35\t    );\n36\t  return (\n37\t    <form onSubmit={submit} className=\"flex flex-col gap-2.5 sm:flex-row\">\n38\t      <input\n39\t        type=\"email\"\n40\t        required\n41\t        value={email}\n42\t        onChange={(e) => setEmail(e.target.value)}\n43\t        placeholder={t(\"emailPlaceholder\")}\n44\t        className={`min-h-[44px] flex-1 rounded-md border-[1.5px] bg-[rgba(245,243,238,0.08)] px-3.5 py-2.5 text-paper placeholder-[rgba(245,243,238,0.4)] outline-none transition-shadow focus:shadow-[3px_3px_0_var(--lime)] ${\n45\t          err ? \"border-danger\" : \"border-[rgba(245,243,238,0.35)] focus:border-lime\"\n46\t        }`}\n47\t      />\n48\t      <button\n49\t        type=\"submit\"\n50\t        className=\"btn min-h-[44px] border-lime bg-lime text-ink shadow-[4px_4px_0_rgba(255,81,72,0.25)] hover:bg-paper\"\n51\t      >\n52\t        {t(\"leadBtn\")} →\n53\t      </button>\n54\t    </form>\n55\t  );\n56\t}\n57\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2b8b7471-5216-4c19-8006-89948e46e184","timestamp":"2026-08-25T21:16:29.519Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport default function LeadForm({\n  unitId,\n  estimate,\n}: {\n  unitId: string | null;\n  estimate: number;\n}) {\n  const { t } = useLang();\n  const [email, setEmail] = useState(\"\");\n  const [done, setDone] = useState(false);\n  const [err, setErr] = useState(false);\n\n  const submit = async (e: React.FormEvent) => {\n    e.preventDefault();\n    setErr(false);\n    const res = await fetch(\"/api/lead\", {\n      method: \"POST\",\n      headers: { \"Content-Type\": \"application/json\" },\n      body: JSON.stringify({ email, unitId, estimate }),\n    });\n    if (res.ok) setDone(true);\n    else setErr(true);\n  };\n\n  if (done)\n    return (\n      <p className=\"vp-mono rounded-md border border-lime bg-[rgba(255,81,72,0.12)] px-4 py-3 text-[12px] font-bold uppercase tracking-[0.05em] text-lime\">\n        ✓ {t(\"leadOk\")}\n      </p>\n    );\n  return (\n    <form onSubmit={submit} className=\"flex flex-col gap-2.5 sm:flex-row\">\n      <input\n        type=\"email\"\n        required\n        value={email}\n        onChange={(e) => setEmail(e.target.value)}\n        placeholder={t(\"emailPlaceholder\")}\n        className={`min-h-[44px] flex-1 rounded-md border-[1.5px] bg-[rgba(245,243,238,0.08)] px-3.5 py-2.5 text-paper placeholder-[rgba(245,243,238,0.4)] outline-none transition-shadow focus:shadow-[3px_3px_0_var(--lime)] ${\n          err ? \"border-danger\" : \"border-[rgba(245,243,238,0.35)] focus:border-lime\"\n        }`}\n      />\n      <button\n        type=\"submit\"\n        className=\"btn min-h-[44px] border-lime bg-lime text-ink shadow-[4px_4px_0_rgba(255,81,72,0.25)] hover:bg-paper\"\n      >\n        {t(\"leadBtn\")} →\n      </button>\n    </form>\n  );\n}\n","numLines":57,"startLine":1,"totalLines":57}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4af2bc70-06d0-42cd-9fa2-778a4165953e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAJ2Up16Ly9f5HRohLm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012aB9uTcHeibGSNZ4ey4uEJ","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport default function LeadForm({\n  unitId,\n  estimate,\n}: {\n  unitId: string | null;\n  estimate: number;\n}) {\n  const { t } = useLang();\n  const [email, setEmail] = useState(\"\");\n  const [done, setDone] = useState(false);\n  const [err, setErr] = useState(false);\n\n  const submit = async (e: React.FormEvent) => {\n    e.preventDefault();\n    setErr(false);\n    const res = await fetch(\"/api/lead\", {\n      method: \"POST\",\n      headers: { \"Content-Type\": \"application/json\" },\n      body: JSON.stringify({ email, unitId, estimate }),\n    });\n    if (res.ok) setDone(true);\n    else setErr(true);\n  };\n\n  if (done)\n    return (\n      <p className=\"vp-mono border-l-2 border-[var(--accent-bright)] py-1 pl-4 text-[12px] font-bold uppercase tracking-[0.05em] text-[var(--paper-on-ink)]\">\n        ✓ {t(\"leadOk\")}\n      </p>\n    );\n  return (\n    <form onSubmit={submit} className=\"flex flex-col gap-3 sm:flex-row sm:gap-0\">\n      <input\n        type=\"email\"\n        required\n        value={email}\n        onChange={(e) => setEmail(e.target.value)}\n        placeholder={t(\"emailPlaceholder\")}\n        className={`min-h-[50px] flex-1 border-0 border-b bg-transparent px-1 py-2.5 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.4)] ${\n          err\n            ? \"border-[var(--danger)]\"\n            : \"border-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)]\"\n        }`}\n      />\n      <button\n        type=\"submit\"\n        className=\"vp-display flex min-h-[50px] shrink-0 items-center justify-center gap-2 bg-[var(--accent-bright)] px-6 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63]\"\n      >\n        {t(\"leadBtn\")} →\n      </button>\n    </form>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1264,"cache_read_input_tokens":198800,"cache_creation":{"ephemeral_5m_input_tokens":1264,"ephemeral_1h_input_tokens":0},"output_tokens":14,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9e9972b0-40a2-4855-8b2b-0e95d1818dc5","request_id":"req_011CeQAHzzGBSiD5zSg76ifQ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012aB9uTcHeibGSNZ4ey4uEJ","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"54b8f374-15fa-45a5-a419-1a937ff70400","timestamp":"2026-08-25T21:16:40.237Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/LeadForm.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport default function LeadForm({\n  unitId,\n  estimate,\n}: {\n  unitId: string | null;\n  estimate: number;\n}) {\n  const { t } = useLang();\n  const [email, setEmail] = useState(\"\");\n  const [done, setDone] = useState(false);\n  const [err, setErr] = useState(false);\n\n  const submit = async (e: React.FormEvent) => {\n    e.preventDefault();\n    setErr(false);\n    const res = await fetch(\"/api/lead\", {\n      method: \"POST\",\n      headers: { \"Content-Type\": \"application/json\" },\n      body: JSON.stringify({ email, unitId, estimate }),\n    });\n    if (res.ok) setDone(true);\n    else setErr(true);\n  };\n\n  if (done)\n    return (\n      <p className=\"vp-mono border-l-2 border-[var(--accent-bright)] py-1 pl-4 text-[12px] font-bold uppercase tracking-[0.05em] text-[var(--paper-on-ink)]\">\n        ✓ {t(\"leadOk\")}\n      </p>\n    );\n  return (\n    <form onSubmit={submit} className=\"flex flex-col gap-3 sm:flex-row sm:gap-0\">\n      <input\n        type=\"email\"\n        required\n        value={email}\n        onChange={(e) => setEmail(e.target.value)}\n        placeholder={t(\"emailPlaceholder\")}\n        className={`min-h-[50px] flex-1 border-0 border-b bg-transparent px-1 py-2.5 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.4)] ${\n          err\n            ? \"border-[var(--danger)]\"\n            : \"border-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)]\"\n        }`}\n      />\n      <button\n        type=\"submit\"\n        className=\"vp-display flex min-h-[50px] shrink-0 items-center justify-center gap-2 bg-[var(--accent-bright)] px-6 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63]\"\n      >\n        {t(\"leadBtn\")} →\n      </button>\n    </form>\n  );\n}\n","structuredPatch":[{"oldStart":29,"oldLines":25,"newStart":29,"newLines":27,"lines":[" ","   if (done)","     return (","-      <p className=\"vp-mono rounded-md border border-lime bg-[rgba(255,81,72,0.12)] px-4 py-3 text-[12px] font-bold uppercase tracking-[0.05em] text-lime\">","+      <p className=\"vp-mono border-l-2 border-[var(--accent-bright)] py-1 pl-4 text-[12px] font-bold uppercase tracking-[0.05em] text-[var(--paper-on-ink)]\">","         ✓ {t(\"leadOk\")}","       </p>","     );","   return (","-    <form onSubmit={submit} className=\"flex flex-col gap-2.5 sm:flex-row\">","+    <form onSubmit={submit} className=\"flex flex-col gap-3 sm:flex-row sm:gap-0\">","       <input","         type=\"email\"","         required","         value={email}","         onChange={(e) => setEmail(e.target.value)}","         placeholder={t(\"emailPlaceholder\")}","-        className={`min-h-[44px] flex-1 rounded-md border-[1.5px] bg-[rgba(245,243,238,0.08)] px-3.5 py-2.5 text-paper placeholder-[rgba(245,243,238,0.4)] outline-none transition-shadow focus:shadow-[3px_3px_0_var(--lime)] ${","-          err ? \"border-danger\" : \"border-[rgba(245,243,238,0.35)] focus:border-lime\"","+        className={`min-h-[50px] flex-1 border-0 border-b bg-transparent px-1 py-2.5 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.4)] ${","+          err","+            ? \"border-[var(--danger)]\"","+            : \"border-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)]\"","         }`}","       />","       <button","         type=\"submit\"","-        className=\"btn min-h-[44px] border-lime bg-lime text-ink shadow-[4px_4px_0_rgba(255,81,72,0.25)] hover:bg-paper\"","+        className=\"vp-display flex min-h-[50px] shrink-0 items-center justify-center gap-2 bg-[var(--accent-bright)] px-6 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63]\"","       >","         {t(\"leadBtn\")} →","       </button>"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport default function LeadForm({\n  unitId,\n  estimate,\n}: {\n  unitId: string | null;\n  estimate: number;\n}) {\n  const { t } = useLang();\n  const [email, setEmail] = useState(\"\");\n  const [done, setDone] = useState(false);\n  const [err, setErr] = useState(false);\n\n  const submit = async (e: React.FormEvent) => {\n    e.preventDefault();\n    setErr(false);\n    const res = await fetch(\"/api/lead\", {\n      method: \"POST\",\n      headers: { \"Content-Type\": \"application/json\" },\n      body: JSON.stringify({ email, unitId, estimate }),\n    });\n    if (res.ok) setDone(true);\n    else setErr(true);\n  };\n\n  if (done)\n    return (\n      <p className=\"vp-mono rounded-md border border-lime bg-[rgba(255,81,72,0.12)] px-4 py-3 text-[12px] font-bold uppercase tracking-[0.05em] text-lime\">\n        ✓ {t(\"leadOk\")}\n      </p>\n    );\n  return (\n    <form onSubmit={submit} className=\"flex flex-col gap-2.5 sm:flex-row\">\n      <input\n        type=\"email\"\n        required\n        value={email}\n        onChange={(e) => setEmail(e.target.value)}\n        placeholder={t(\"emailPlaceholder\")}\n        className={`min-h-[44px] flex-1 rounded-md border-[1.5px] bg-[rgba(245,243,238,0.08)] px-3.5 py-2.5 text-paper placeholder-[rgba(245,243,238,0.4)] outline-none transition-shadow focus:shadow-[3px_3px_0_var(--lime)] ${\n          err ? \"border-danger\" : \"border-[rgba(245,243,238,0.35)] focus:border-lime\"\n        }`}\n      />\n      <button\n        type=\"submit\"\n        className=\"btn min-h-[44px] border-lime bg-lime text-ink shadow-[4px_4px_0_rgba(255,81,72,0.25)] hover:bg-paper\"\n      >\n        {t(\"leadBtn\")} →\n      </button>\n    </form>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9d79125a-227e-4936-aa42-ffe9d28c991b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"e33d017f-d66c-411e-8477-e5cecbcd92f6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"85d58ca0-75cb-45cb-a3d6-8f682a0fd1df","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":188,"estimated_tokens_delta":88,"uuid":"19c153a1-c2c5-46dd-b801-f2fcb19e75d2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAJqpt3pbpbtyeQcobv","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":985,"cache_read_input_tokens":200064,"cache_creation":{"ephemeral_5m_input_tokens":985,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"083adbaf-9b01-4bb6-9931-6c63debc5ef7","request_id":"req_011CeQAJnk6EXvBoizFRZsLS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAJqpt3pbpbtyeQcobv","type":"message","role":"assistant","content":[{"type":"text","text":"Task 6 terminé. Task 7 : la méthodologie en article éditorial :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":985,"cache_read_input_tokens":200064,"cache_creation":{"ephemeral_5m_input_tokens":985,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"93418749-e809-4f6b-9fd0-204c485a18ae","request_id":"req_011CeQAJnk6EXvBoizFRZsLS"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAJqpt3pbpbtyeQcobv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V6GHxmnXSCoCDeR4uErvzq","name":"TaskUpdate","input":{"taskId":"6","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":985,"cache_read_input_tokens":200064,"cache_creation":{"ephemeral_5m_input_tokens":985,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a4f9eeef-ac82-4d0b-8f92-8e10fe2a09c5","request_id":"req_011CeQAJnk6EXvBoizFRZsLS"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V6GHxmnXSCoCDeR4uErvzq","type":"tool_result","content":"Updated task #6 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9d2a6480-5cd5-471b-b403-39d9dc49ba58","timestamp":"2026-08-25T21:16:48.045Z","tool_use_result":{"success":true,"taskId":"6","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAJqpt3pbpbtyeQcobv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LiqKGvnDQYMNqhtfiCVqdS","name":"TaskUpdate","input":{"taskId":"7","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":985,"cache_read_input_tokens":200064,"cache_creation":{"ephemeral_5m_input_tokens":985,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1e72e1cc-99f1-41db-a906-7d0d5e728ea0","request_id":"req_011CeQAJnk6EXvBoizFRZsLS"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LiqKGvnDQYMNqhtfiCVqdS","type":"tool_result","content":"Updated task #7 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3840bc7d-6ba4-4394-aecb-7aefbcd78015","timestamp":"2026-08-25T21:16:48.737Z","tool_use_result":{"success":true,"taskId":"7","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAJqpt3pbpbtyeQcobv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H6QykoKynEXRq5Xt3UYeJ6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx","old_string":"      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(30px,5vw,52px)] font-bold uppercase leading-[1] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Méthodologie <span className=\"hl\">ultra-détaillée</span>\n          </>\n        ) : (\n          <>\n            The <span className=\"hl\">full</span> methodology\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[16px] text-ink-2\">\n        {fr\n          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n      </p>\n\n      <div className=\"mt-10 space-y-8\">\n        {sections.map((sct) => (\n          <section key={sct.num} className=\"vp-card p-6 sm:p-8\">\n            <div className=\"flex items-baseline gap-4\">\n              <span className=\"vp-mono text-[13px] font-bold text-green\">{sct.num}</span>\n              <h2 className=\"vp-display text-[20px] font-bold uppercase tracking-[-0.02em]\">\n                {sct.title}\n              </h2>\n            </div>\n            <div className=\"mt-4 space-y-3.5\">\n              {sct.paras.map((p, i) => (\n                <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n                  {p}\n                </p>\n              ))}\n            </div>\n            {sct.kv && (\n              <div className=\"mt-5 grid grid-cols-2 gap-2.5 sm:grid-cols-3\">\n                {sct.kv.map(([k, v]) => (\n                  <div key={k} className=\"kv-cell\">\n                    <p className=\"k\">{k}</p>\n                    <p className=\"v\">{v}</p>\n                  </div>\n                ))}\n              </div>\n            )}\n            {sct.table && (\n              <div className=\"src-wrap mt-5\">\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      {sct.table.head.map((h) => (\n                        <th key={h}>{h}</th>\n                      ))}\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {sct.table.rows.map(([a, b, c]) => (\n                      <tr key={a}>\n                        <td className=\"font-semibold\">{a}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{b}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{c}</td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            )}\n          </section>\n        ))}\n      </div>","new_string":"      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(32px,5.5vw,58px)] font-bold uppercase leading-[0.98] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Voici exactement\n            <br />\n            <span className=\"hl\">comment le prix est calculé</span>\n          </>\n        ) : (\n          <>\n            Here is exactly\n            <br />\n            <span className=\"hl\">how the price is computed</span>\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[15.5px] leading-relaxed text-ink-2\">\n        {fr\n          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n      </p>\n\n      {/* la chaîne de calcul, d'un coup d'œil */}\n      <ol className=\"mt-9 grid gap-x-6 gap-y-4 border-y border-[var(--line)] py-5 sm:grid-cols-3 lg:grid-cols-6\">\n        {(fr\n          ? [\"Propriété identifiée\", \"Rôle d'évaluation récupéré\", \"Ventes comparables sélectionnées\", \"Caractéristiques ajustées\", \"Estimation calculée\", \"Intervalle de confiance produit\"]\n          : [\"Property identified\", \"Assessment roll retrieved\", \"Comparable sales selected\", \"Characteristics adjusted\", \"Estimate computed\", \"Confidence interval produced\"]\n        ).map((step, i, arr) => (\n          <li key={step} className=\"relative flex items-start gap-2.5 lg:block\">\n            <span className={`vp-mono text-[11px] font-bold ${i === arr.length - 1 ? \"text-accent\" : \"text-ink-3\"}`}>\n              0{i + 1}\n            </span>\n            <p className=\"vp-display text-[13px] font-bold uppercase leading-tight tracking-[-0.01em] lg:mt-1.5\">\n              {step}\n              {i < arr.length - 1 && <span className=\"ml-1.5 text-ink-3\" aria-hidden=\"true\">→</span>}\n            </p>\n          </li>\n        ))}\n      </ol>\n\n      <div className=\"mt-12 space-y-12\">\n        {sections.map((sct) => (\n          <section key={sct.num} className=\"sec grid gap-x-10 gap-y-3 lg:grid-cols-[110px_1fr]\">\n            <span className=\"vp-display text-[clamp(26px,3vw,36px)] font-bold leading-none text-accent lg:pt-1\">\n              {sct.num}\n            </span>\n            <div>\n              <h2 className=\"vp-display text-[clamp(19px,2.4vw,24px)] font-bold uppercase tracking-[-0.02em]\">\n                {sct.title}\n              </h2>\n              <div className=\"mt-4 space-y-3.5\">\n                {sct.paras.map((p, i) => (\n                  <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n                    {p}\n                  </p>\n                ))}\n              </div>\n              {sct.kv && (\n                <div className=\"mt-5 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3\">\n                  {sct.kv.map(([k, v]) => (\n                    <div key={k} className=\"kv-cell\">\n                      <p className=\"k\">{k}</p>\n                      <p className=\"v\">{v}</p>\n                    </div>\n                  ))}\n                </div>\n              )}\n              {sct.table && (\n                <div className=\"src-wrap mt-6 max-w-3xl\">\n                  <table className=\"src-table\">\n                    <thead>\n                      <tr>\n                        {sct.table.head.map((h) => (\n                          <th key={h}>{h}</th>\n                        ))}\n                      </tr>\n                    </thead>\n                    <tbody>\n                      {sct.table.rows.map(([a, b, c]) => (\n                        <tr key={a}>\n                          <td className=\"font-semibold\">{a}</td>\n                          <td className=\"vp-mono text-[12.5px]\">{b}</td>\n                          <td className=\"vp-mono text-[12.5px]\">{c}</td>\n                        </tr>\n                      ))}\n                    </tbody>\n                  </table>\n                </div>\n              )}\n            </div>\n          </section>\n        ))}\n      </div>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":985,"cache_read_input_tokens":200064,"cache_creation":{"ephemeral_5m_input_tokens":985,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7f7a4031-b8e3-40b4-bf28-44953b8789cf","request_id":"req_011CeQAJnk6EXvBoizFRZsLS"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H6QykoKynEXRq5Xt3UYeJ6","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b6f275e3-d2e8-41b4-a96e-f892a5e785d4","timestamp":"2026-08-25T21:17:10.966Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/methodologie/MethodologieClient.tsx","oldString":"      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(30px,5vw,52px)] font-bold uppercase leading-[1] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Méthodologie <span className=\"hl\">ultra-détaillée</span>\n          </>\n        ) : (\n          <>\n            The <span className=\"hl\">full</span> methodology\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[16px] text-ink-2\">\n        {fr\n          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n      </p>\n\n      <div className=\"mt-10 space-y-8\">\n        {sections.map((sct) => (\n          <section key={sct.num} className=\"vp-card p-6 sm:p-8\">\n            <div className=\"flex items-baseline gap-4\">\n              <span className=\"vp-mono text-[13px] font-bold text-green\">{sct.num}</span>\n              <h2 className=\"vp-display text-[20px] font-bold uppercase tracking-[-0.02em]\">\n                {sct.title}\n              </h2>\n            </div>\n            <div className=\"mt-4 space-y-3.5\">\n              {sct.paras.map((p, i) => (\n                <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n                  {p}\n                </p>\n              ))}\n            </div>\n            {sct.kv && (\n              <div className=\"mt-5 grid grid-cols-2 gap-2.5 sm:grid-cols-3\">\n                {sct.kv.map(([k, v]) => (\n                  <div key={k} className=\"kv-cell\">\n                    <p className=\"k\">{k}</p>\n                    <p className=\"v\">{v}</p>\n                  </div>\n                ))}\n              </div>\n            )}\n            {sct.table && (\n              <div className=\"src-wrap mt-5\">\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      {sct.table.head.map((h) => (\n                        <th key={h}>{h}</th>\n                      ))}\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {sct.table.rows.map(([a, b, c]) => (\n                      <tr key={a}>\n                        <td className=\"font-semibold\">{a}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{b}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{c}</td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            )}\n          </section>\n        ))}\n      </div>","newString":"      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(32px,5.5vw,58px)] font-bold uppercase leading-[0.98] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Voici exactement\n            <br />\n            <span className=\"hl\">comment le prix est calculé</span>\n          </>\n        ) : (\n          <>\n            Here is exactly\n            <br />\n            <span className=\"hl\">how the price is computed</span>\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[15.5px] leading-relaxed text-ink-2\">\n        {fr\n          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n      </p>\n\n      {/* la chaîne de calcul, d'un coup d'œil */}\n      <ol className=\"mt-9 grid gap-x-6 gap-y-4 border-y border-[var(--line)] py-5 sm:grid-cols-3 lg:grid-cols-6\">\n        {(fr\n          ? [\"Propriété identifiée\", \"Rôle d'évaluation récupéré\", \"Ventes comparables sélectionnées\", \"Caractéristiques ajustées\", \"Estimation calculée\", \"Intervalle de confiance produit\"]\n          : [\"Property identified\", \"Assessment roll retrieved\", \"Comparable sales selected\", \"Characteristics adjusted\", \"Estimate computed\", \"Confidence interval produced\"]\n        ).map((step, i, arr) => (\n          <li key={step} className=\"relative flex items-start gap-2.5 lg:block\">\n            <span className={`vp-mono text-[11px] font-bold ${i === arr.length - 1 ? \"text-accent\" : \"text-ink-3\"}`}>\n              0{i + 1}\n            </span>\n            <p className=\"vp-display text-[13px] font-bold uppercase leading-tight tracking-[-0.01em] lg:mt-1.5\">\n              {step}\n              {i < arr.length - 1 && <span className=\"ml-1.5 text-ink-3\" aria-hidden=\"true\">→</span>}\n            </p>\n          </li>\n        ))}\n      </ol>\n\n      <div className=\"mt-12 space-y-12\">\n        {sections.map((sct) => (\n          <section key={sct.num} className=\"sec grid gap-x-10 gap-y-3 lg:grid-cols-[110px_1fr]\">\n            <span className=\"vp-display text-[clamp(26px,3vw,36px)] font-bold leading-none text-accent lg:pt-1\">\n              {sct.num}\n            </span>\n            <div>\n              <h2 className=\"vp-display text-[clamp(19px,2.4vw,24px)] font-bold uppercase tracking-[-0.02em]\">\n                {sct.title}\n              </h2>\n              <div className=\"mt-4 space-y-3.5\">\n                {sct.paras.map((p, i) => (\n                  <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n                    {p}\n                  </p>\n                ))}\n              </div>\n              {sct.kv && (\n                <div className=\"mt-5 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3\">\n                  {sct.kv.map(([k, v]) => (\n                    <div key={k} className=\"kv-cell\">\n                      <p className=\"k\">{k}</p>\n                      <p className=\"v\">{v}</p>\n                    </div>\n                  ))}\n                </div>\n              )}\n              {sct.table && (\n                <div className=\"src-wrap mt-6 max-w-3xl\">\n                  <table className=\"src-table\">\n                    <thead>\n                      <tr>\n                        {sct.table.head.map((h) => (\n                          <th key={h}>{h}</th>\n                        ))}\n                      </tr>\n                    </thead>\n                    <tbody>\n                      {sct.table.rows.map(([a, b, c]) => (\n                        <tr key={a}>\n                          <td className=\"font-semibold\">{a}</td>\n                          <td className=\"vp-mono text-[12.5px]\">{b}</td>\n                          <td className=\"vp-mono text-[12.5px]\">{c}</td>\n                        </tr>\n                      ))}\n                    </tbody>\n                  </table>\n                </div>\n              )}\n            </div>\n          </section>\n        ))}\n      </div>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport Link from \"next/link\";\nimport { useLang } from \"@/components/LangContext\";\n\ntype Row = [string, string];\ninterface Section {\n  num: string;\n  title: string;\n  paras: string[];\n  table?: { head: [string, string, string]; rows: [string, string, string][] };\n  kv?: Row[];\n}\n\nconst FR: Section[] = [\n  {\n    num: \"01\",\n    title: \"Données sources\",\n    paras: [\n      \"Deux corpus publics forment la fondation de Vrai-Prix. Premièrement, les rôles d'évaluation foncière géoréférencés du Québec, publiés en données ouvertes par le ministère des Affaires municipales et de l'Habitation (MAMH) : six millésimes complets (2021 à 2026), de 3 626 120 à 3 747 008 unités d'évaluation par millésime, soit 22,15 millions d'observations unité-année. Chaque unité porte sa géométrie ponctuelle (NAD83, EPSG:4269), son matricule, son usage (code CUBF), ses caractéristiques de bâtiment et de terrain, et ses valeurs au rôle.\",\n      \"Deuxièmement, 745 119 transactions immobilières publiées entre janvier 2021 et juillet 2026, couvrant 1 100 municipalités, chacune géolocalisée et documentée (prix, date, type, année de construction, aire d'étages, valeurs au rôle).\",\n    ],\n    kv: [\n      [\"Millésimes de rôle\", \"2021 · 2022 · 2023 · 2024 · 2025 · 2026\"],\n      [\"Unités d'évaluation (2026)\", \"3 747 008\"],\n      [\"Observations unité-année\", \"22 150 285\"],\n      [\"Transactions\", \"745 119 (2021-01 → 2026-07)\"],\n      [\"Municipalités couvertes\", \"1 100\"],\n      [\"Système de référence\", \"NAD83 (EPSG:4269), projeté EPSG:32198\"],\n    ],\n  },\n  {\n    num: \"02\",\n    title: \"Fusion spatiale transaction ↔ unité d'évaluation\",\n    paras: [\n      \"Chaque transaction est appariée à son unité d'évaluation par coordonnées XY, dans le rôle de l'année de la transaction. L'appariement se fait en deux passes, en coordonnées projetées Québec Lambert (EPSG:32198).\",\n      \"Passe A — spatiale : parmi les 25 plus proches voisins dans un rayon de 200 m, chaque candidat reçoit un score : +100 si la valeur au rôle est identique à celle portée par la transaction, +60 si la valeur du rôle antérieur concorde, +30 si l'année de construction concorde, +30 si l'aire d'étages concorde à ±0,6 m², moins 0,5 point par mètre de distance. Le meilleur score gagne.\",\n      \"Passe B — jointure par valeur : les tours à condos placent des centaines d'unités sur le même point ; la géométrie seule ne suffit pas. Pour toute transaction sans concordance exacte de valeur en passe A, on cherche l'unité de valeur au rôle strictement identique dans un rayon de 500 m. En dernier recours, les millésimes adjacents (année ±1) sont essayés — les rôles triennaux étant déposés à des années différentes selon les municipalités.\",\n      \"Résultat : 99,88 % des transactions appariées, 82,2 % avec concordance exacte de la valeur au rôle, distance médiane de 0,6 m (p90 = 12 m). Ce lien est vérifiable transaction par transaction.\",\n    ],\n  },\n  {\n    num: \"03\",\n    title: \"Modèle hédonique de masse\",\n    paras: [\n      \"Le cœur du système est un modèle de gradient boosting (LightGBM) entraîné à prédire le logarithme du prix de vente. L'échantillon d'entraînement compte 689 231 transactions, après exclusion des ventes non représentatives du marché : appariement incertain, prix hors de 50 000 $ à 20 M$, ratio prix/évaluation hors de l'intervalle [0,3 ; 4].\",\n      \"Dix-huit variables décrivent chaque propriété au moment de la vente : aire d'étages, superficie et frontage du terrain, nombre d'étages, de logements, de locaux non résidentiels et de chambres locatives, âge du bâtiment, usage CUBF (et sa famille), lien physique, genre de construction, municipalité et région (variables catégorielles), latitude, longitude, temps continu (mois écoulés) et mois de l'année, plus les valeurs au rôle (terrain, bâtiment, total, croissance vs rôle antérieur, part du terrain).\",\n      \"Hyperparamètres : 255 feuilles, taux d'apprentissage 0,05, sous-échantillonnage 85 %, arrêt précoce sur ensemble de validation (~825 itérations retenues). La rétro-transformation du logarithme applique le facteur de correction de Duan (smearing, 1,04). Deux modèles de régression quantile (α = 0,10 et 0,90), entraînés sur les mêmes variables, produisent la fourchette P10-P90 propre à chaque propriété. Un second modèle « hédonique pur », sans les valeurs au rôle, sert de contrôle.\",\n      \"Le modèle final est appliqué aux 3,75 millions d'unités de chaque millésime (temps fixé à la mi-année), produisant 22 millions d'estimations historisées 2021-2026.\",\n    ],\n  },\n  {\n    num: \"04\",\n    title: \"Validation — norme IAAO\",\n    paras: [\n      \"La validation suit la norme de l'International Association of Assessing Officers (IAAO) sur les études de ratios : ratio médian (estimation/prix), coefficient de dispersion (COD), différentiel lié au prix (PRD) et coefficient de biais lié au prix (PRB). Deux protocoles : un ensemble aléatoire réservé de 15 % (102 943 ventes jamais vues) et un test temporel strict (entraînement sans 2026, test sur les 68 364 ventes de 2026).\",\n      \"Le COD provincial (22,7) dépasse la cible urbaine IAAO (≤ 15) — attendu pour un modèle unique couvrant aussi les marchés ruraux minces ; le segment condo (11,9) y satisfait pleinement. Le ratio médian de 0,995 indique l'absence de biais systématique.\",\n    ],\n    table: {\n      head: [\"Métrique\", \"Holdout aléatoire\", \"Test temporel 2026\"],\n      rows: [\n        [\"Erreur médiane (MdAPE)\", \"11,0 %\", \"14,0 %\"],\n        [\"± 20 % du prix réel\", \"72,1 %\", \"66,7 %\"],\n        [\"R² (log)\", \"0,789\", \"0,743\"],\n        [\"Ratio médian (cible 0,90-1,10)\", \"0,995\", \"0,961\"],\n        [\"COD (cible ≤ 15-20)\", \"22,7 (condos 11,9)\", \"23,7\"],\n        [\"PRD (cible 0,98-1,03)\", \"1,092\", \"1,075\"],\n        [\"PRB (cible ±0,05)\", \"−0,104\", \"−0,082\"],\n      ],\n    },\n  },\n  {\n    num: \"05\",\n    title: \"Moteur d'estimation en ligne\",\n    paras: [\n      \"Au moment de la consultation, l'estimation affichée combine deux sources indépendantes. (1) L'estimation du modèle hédonique, pré-calculée pour la propriété. (2) Une estimation par comparables : les ventes candidates sont cherchées dans un rayon adaptatif (2,2 km, élargi jusqu'à ~28 km si le marché est mince, minimum 30 candidates sur 30-36 mois), filtrées par famille de type et par aire d'étages (±20 %, relâché à ±40 % puis abandonné sous 6 candidates).\",\n      \"Chaque comparable est ajusté, en dollars affichés : ajustement de marché (indice mensuel, section 06), ajustement de superficie (50 % du $/m² du comparable par m² d'écart, plafonné à ±25 % du prix), ajustement d'âge (0,5 % du prix par année d'écart, plafonné à ±10 %). Le poids de chaque comparable est le produit de trois gaussiennes : distance (σ = 1 500 m), récence (σ = 24 mois) et similarité de superficie (σ = 25 %). L'estimation comparables est la médiane pondérée des prix ajustés (12 meilleures retenues).\",\n      \"Combinaison : 65 % modèle + 35 % comparables lorsque les deux existent (≥ 3 comparables) ; sinon la source disponible seule. La fourchette affichée est l'intervalle P10-P90 du modèle, recentré sur l'estimation finale.\",\n      \"L'indice de confiance (0-100, niveaux A ≥ 75, B ≥ 60, C ≥ 45, D < 45) agrège : le nombre de comparables (+2,5/comparable, max 25), leur dispersion (jusqu'à +20 quand la déviation médiane est faible), la présence du modèle (+15) et une pénalité de largeur de fourchette au-delà de 30 %. Aucune estimation n'est affichée sans son niveau de confiance.\",\n    ],\n  },\n  {\n    num: \"06\",\n    title: \"Indice de marché mensuel\",\n    paras: [\n      \"L'ajustement temporel des comparables repose sur un indice mensuel par type de propriété : médiane du prix au mètre carré des ventes du mois (minimum 5 ventes), lissée par médiane mobile centrée de 3 mois, normalisée au dernier mois observé. Une vente de janvier 2024 comparée en août 2026 est ainsi ramenée aux conditions de marché actuelles avant tout autre ajustement.\",\n    ],\n  },\n  {\n    num: \"07\",\n    title: \"Limites connues\",\n    paras: [\n      \"L'honnêteté méthodologique exige de nommer ce que le système ne voit pas. Les rénovations intérieures, garages, piscines et l'état d'entretien n'apparaissent pas dans les données ouvertes du rôle. Dans les marchés ruraux minces, la dispersion dépasse les cibles IAAO urbaines — l'indice de confiance le reflète. Les unités d'une même tour à condos partagent un point géographique : sans numéro d'appartement, la recherche peut retourner une unité voisine. Les valeurs au rôle utilisées comme variables sont établies 18 à 24 mois avant leur entrée en vigueur. Enfin, une estimation statistique, aussi rigoureuse soit-elle, ne remplace pas l'évaluation d'un évaluateur agréé (OEAQ) ni l'analyse d'un courtier pour une mise en vente.\",\n    ],\n  },\n];\n\nconst EN: Section[] = [\n  {\n    num: \"01\",\n    title: \"Source data\",\n    paras: [\n      \"Two public corpora form the foundation of Vrai-Prix. First, Québec's georeferenced property assessment rolls, published as open data by the MAMH: six complete vintages (2021-2026), 3.63M to 3.75M assessment units each — 22.15 million unit-year observations, each with point geometry (NAD83), roll number, CUBF use code, building and lot characteristics, and assessed values.\",\n      \"Second, 745,119 real-estate transactions published between January 2021 and July 2026 across 1,100 municipalities, each geolocated and documented (price, date, type, year built, floor area, assessed values).\",\n    ],\n    kv: [\n      [\"Roll vintages\", \"2021 · 2022 · 2023 · 2024 · 2025 · 2026\"],\n      [\"Assessment units (2026)\", \"3,747,008\"],\n      [\"Unit-year observations\", \"22,150,285\"],\n      [\"Transactions\", \"745,119 (2021-01 → 2026-07)\"],\n      [\"Municipalities\", \"1,100\"],\n      [\"Reference system\", \"NAD83 (EPSG:4269), projected EPSG:32198\"],\n    ],\n  },\n  {\n    num: \"02\",\n    title: \"Spatial merge: transaction ↔ assessment unit\",\n    paras: [\n      \"Each transaction is matched to its assessment unit by XY coordinates in the roll of its own year, in two passes using Québec Lambert (EPSG:32198) coordinates.\",\n      \"Pass A — spatial: among the 25 nearest neighbours within 200 m, each candidate is scored: +100 for an identical assessed value, +60 for a matching previous-roll value, +30 for a matching year built, +30 for a floor area within ±0.6 m², minus 0.5 point per metre of distance.\",\n      \"Pass B — value join: condo towers stack hundreds of units on one point, so geometry alone is insufficient. For transactions without an exact value match in pass A, we search for the unit with a strictly identical assessed value within 500 m. As a last resort, adjacent vintages (±1 year) are tried, since triennial rolls are deposited in different years across municipalities.\",\n      \"Result: 99.88% of transactions matched, 82.2% with an exact assessed-value match, median distance 0.6 m (p90 = 12 m). The link is verifiable transaction by transaction.\",\n    ],\n  },\n  {\n    num: \"03\",\n    title: \"Mass-appraisal hedonic model\",\n    paras: [\n      \"The core is a gradient-boosting model (LightGBM) trained to predict the log of sale price on 689,231 transactions, after excluding non-market sales (uncertain match, price outside $50k-$20M, price/assessment ratio outside [0.3, 4]).\",\n      \"Eighteen variables describe each property at sale time: floor area, lot area and frontage, storeys, dwellings, non-residential units, rental rooms, building age, CUBF use (and family), physical link, construction style, municipality and region (categorical), latitude, longitude, continuous time and month of year, plus assessed values (land, building, total, growth vs previous roll, land share).\",\n      \"Hyperparameters: 255 leaves, learning rate 0.05, 85% subsampling, early stopping (~825 iterations). The log back-transform applies Duan's smearing factor (1.04). Two quantile models (α = 0.10, 0.90) produce each property's P10-P90 range; a value-free 'pure hedonic' variant serves as control.\",\n      \"The final model is applied to all 3.75M units of every vintage (time set to mid-year), producing 22 million historical estimates 2021-2026.\",\n    ],\n  },\n  {\n    num: \"04\",\n    title: \"Validation — IAAO standard\",\n    paras: [\n      \"Validation follows the IAAO Standard on Ratio Studies: median ratio, coefficient of dispersion (COD), price-related differential (PRD) and price-related bias (PRB). Two protocols: a 15% random holdout (102,943 unseen sales) and a strict temporal test (trained without 2026, tested on 68,364 sales of 2026).\",\n      \"The province-wide COD (22.7) exceeds the urban IAAO target (≤ 15) — expected for a single model that also covers thin rural markets; the condo segment (11.9) fully meets it. The 0.995 median ratio shows no systematic bias.\",\n    ],\n    table: {\n      head: [\"Metric\", \"Random holdout\", \"Temporal test 2026\"],\n      rows: [\n        [\"Median error (MdAPE)\", \"11.0%\", \"14.0%\"],\n        [\"Within ±20% of price\", \"72.1%\", \"66.7%\"],\n        [\"R² (log)\", \"0.789\", \"0.743\"],\n        [\"Median ratio (target 0.90-1.10)\", \"0.995\", \"0.961\"],\n        [\"COD (target ≤ 15-20)\", \"22.7 (condos 11.9)\", \"23.7\"],\n        [\"PRD (target 0.98-1.03)\", \"1.092\", \"1.075\"],\n        [\"PRB (target ±0.05)\", \"−0.104\", \"−0.082\"],\n      ],\n    },\n  },\n  {\n    num: \"05\",\n    title: \"Online estimation engine\",\n    paras: [\n      \"At consultation time, the displayed estimate blends two independent sources. (1) The precomputed hedonic estimate. (2) A comparables estimate: candidate sales are fetched in an adaptive radius (2.2 km, widened up to ~28 km in thin markets, minimum 30 candidates over 30-36 months), filtered by type family and floor area (±20%, relaxed to ±40%, dropped below 6 candidates).\",\n      \"Each comparable is adjusted, in displayed dollars: market adjustment (monthly index, section 06), area adjustment (50% of the comp's $/m² per m² of difference, capped at ±25%), age adjustment (0.5%/year, capped at ±10%). Weights are the product of three Gaussians: distance (σ = 1,500 m), recency (σ = 24 months) and area similarity (σ = 25%). The comparables estimate is the weighted median of adjusted prices (best 12 kept).\",\n      \"Blend: 65% model + 35% comparables when both exist (≥ 3 comps); otherwise the available source alone. The displayed range is the model's P10-P90 interval re-centred on the final estimate.\",\n      \"The confidence index (0-100; A ≥ 75, B ≥ 60, C ≥ 45, D < 45) aggregates comp count (+2.5 each, max 25), comp dispersion (up to +20), model availability (+15) and a penalty for range width beyond 30%. No estimate is ever shown without its confidence level.\",\n    ],\n  },\n  {\n    num: \"06\",\n    title: \"Monthly market index\",\n    paras: [\n      \"Time adjustment relies on a monthly index per property type: the median price per square metre of that month's sales (minimum 5), smoothed with a centred 3-month rolling median, normalized to the latest observed month.\",\n    ],\n  },\n  {\n    num: \"07\",\n    title: \"Known limitations\",\n    paras: [\n      \"Methodological honesty requires naming what the system cannot see. Interior renovations, garages, pools and upkeep do not appear in open roll data. In thin rural markets, dispersion exceeds urban IAAO targets — the confidence index reflects it. Units in the same condo tower share one geographic point: without an apartment number, search may return a neighbouring unit. Assessed values used as features are set 18-24 months before taking effect. Finally, a statistical estimate, however rigorous, does not replace a chartered appraiser's evaluation (OEAQ) or a broker's analysis for a listing.\",\n    ],\n  },\n];\n\nexport default function MethodologieClient() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const sections = fr ? FR : EN;\n  return (\n    <div className=\"py-10\">\n      <nav className=\"vp-mono mb-8 flex items-center gap-2 text-[11.5px] uppercase tracking-[0.06em] text-ink-3\">\n        <Link href=\"/\" className=\"border-b-[1.5px] border-transparent hover:border-green hover:text-green\">\n          Vrai-Prix\n        </Link>\n        <span>/</span>\n        <span>{fr ? \"Méthodologie\" : \"Methodology\"}</span>\n      </nav>\n      <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(30px,5vw,52px)] font-bold uppercase leading-[1] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Méthodologie <span className=\"hl\">ultra-détaillée</span>\n          </>\n        ) : (\n          <>\n            The <span className=\"hl\">full</span> methodology\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[16px] text-ink-2\">\n        {fr\n          ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"\n          : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}\n      </p>\n\n      <div className=\"mt-10 space-y-8\">\n        {sections.map((sct) => (\n          <section key={sct.num} className=\"vp-card p-6 sm:p-8\">\n            <div className=\"flex items-baseline gap-4\">\n              <span className=\"vp-mono text-[13px] font-bold text-green\">{sct.num}</span>\n              <h2 className=\"vp-display text-[20px] font-bold uppercase tracking-[-0.02em]\">\n                {sct.title}\n              </h2>\n            </div>\n            <div className=\"mt-4 space-y-3.5\">\n              {sct.paras.map((p, i) => (\n                <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">\n                  {p}\n                </p>\n              ))}\n            </div>\n            {sct.kv && (\n              <div className=\"mt-5 grid grid-cols-2 gap-2.5 sm:grid-cols-3\">\n                {sct.kv.map(([k, v]) => (\n                  <div key={k} className=\"kv-cell\">\n                    <p className=\"k\">{k}</p>\n                    <p className=\"v\">{v}</p>\n                  </div>\n                ))}\n              </div>\n            )}\n            {sct.table && (\n              <div className=\"src-wrap mt-5\">\n                <table className=\"src-table\">\n                  <thead>\n                    <tr>\n                      {sct.table.head.map((h) => (\n                        <th key={h}>{h}</th>\n                      ))}\n                    </tr>\n                  </thead>\n                  <tbody>\n                    {sct.table.rows.map(([a, b, c]) => (\n                      <tr key={a}>\n                        <td className=\"font-semibold\">{a}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{b}</td>\n                        <td className=\"vp-mono text-[12.5px]\">{c}</td>\n                      </tr>\n                    ))}\n                  </tbody>\n                </table>\n              </div>\n            )}\n          </section>\n        ))}\n      </div>\n\n      <p className=\"vp-mono mt-8 text-[11px] uppercase tracking-[0.06em] text-ink-3\">\n        {fr\n          ? \"Sources : rôles d'évaluation foncière du Québec (MAMH, données ouvertes) · IAAO Standard on Ratio Studies · IAAO Standard on AVMs\"\n          : \"Sources: Québec property assessment rolls (MAMH, open data) · IAAO Standard on Ratio Studies · IAAO Standard on AVMs\"}\n      </p>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":192,"oldLines":71,"newStart":192,"newLines":95,"lines":["         <span>{fr ? \"Méthodologie\" : \"Methodology\"}</span>","       </nav>","       <span className=\"kicker\">{fr ? \"Le calcul, en entier\" : \"The math, in full\"}</span>","-      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(30px,5vw,52px)] font-bold uppercase leading-[1] tracking-[-0.03em]\">","+      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(32px,5.5vw,58px)] font-bold uppercase leading-[0.98] tracking-[-0.03em]\">","         {fr ? (","           <>","-            Méthodologie <span className=\"hl\">ultra-détaillée</span>","+            Voici exactement","+            <br />","+            <span className=\"hl\">comment le prix est calculé</span>","           </>","         ) : (","           <>","-            The <span className=\"hl\">full</span> methodology","+            Here is exactly","+            <br />","+            <span className=\"hl\">how the price is computed</span>","           </>","         )}","       </h1>","-      <p className=\"mt-4 max-w-2xl text-[16px] text-ink-2\">","+      <p className=\"mt-4 max-w-2xl text-[15.5px] leading-relaxed text-ink-2\">","         {fr","           ? \"Notre différenciateur est la transparence totale. Cette page documente chaque étape — données, fusion, modèle, validation, moteur — au niveau de détail d'un rapport technique.\"","           : \"Our differentiator is total transparency. This page documents every step — data, merge, model, validation, engine — at technical-report depth.\"}","       </p>"," ","-      <div className=\"mt-10 space-y-8\">","+      {/* la chaîne de calcul, d'un coup d'œil */}","+      <ol className=\"mt-9 grid gap-x-6 gap-y-4 border-y border-[var(--line)] py-5 sm:grid-cols-3 lg:grid-cols-6\">","+        {(fr","+          ? [\"Propriété identifiée\", \"Rôle d'évaluation récupéré\", \"Ventes comparables sélectionnées\", \"Caractéristiques ajustées\", \"Estimation calculée\", \"Intervalle de confiance produit\"]","+          : [\"Property identified\", \"Assessment roll retrieved\", \"Comparable sales selected\", \"Characteristics adjusted\", \"Estimate computed\", \"Confidence interval produced\"]","+        ).map((step, i, arr) => (","+          <li key={step} className=\"relative flex items-start gap-2.5 lg:block\">","+            <span className={`vp-mono text-[11px] font-bold ${i === arr.length - 1 ? \"text-accent\" : \"text-ink-3\"}`}>","+              0{i + 1}","+            </span>","+            <p className=\"vp-display text-[13px] font-bold uppercase leading-tight tracking-[-0.01em] lg:mt-1.5\">","+              {step}","+              {i < arr.length - 1 && <span className=\"ml-1.5 text-ink-3\" aria-hidden=\"true\">→</span>}","+            </p>","+          </li>","+        ))}","+      </ol>","+","+      <div className=\"mt-12 space-y-12\">","         {sections.map((sct) => (","-          <section key={sct.num} className=\"vp-card p-6 sm:p-8\">","-            <div className=\"flex items-baseline gap-4\">","-              <span className=\"vp-mono text-[13px] font-bold text-green\">{sct.num}</span>","-              <h2 className=\"vp-display text-[20px] font-bold uppercase tracking-[-0.02em]\">","+          <section key={sct.num} className=\"sec grid gap-x-10 gap-y-3 lg:grid-cols-[110px_1fr]\">","+            <span className=\"vp-display text-[clamp(26px,3vw,36px)] font-bold leading-none text-accent lg:pt-1\">","+              {sct.num}","+            </span>","+            <div>","+              <h2 className=\"vp-display text-[clamp(19px,2.4vw,24px)] font-bold uppercase tracking-[-0.02em]\">","                 {sct.title}","               </h2>","-            </div>","-            <div className=\"mt-4 space-y-3.5\">","-              {sct.paras.map((p, i) => (","-                <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">","-                  {p}","-                </p>","-              ))}","-            </div>","-            {sct.kv && (","-              <div className=\"mt-5 grid grid-cols-2 gap-2.5 sm:grid-cols-3\">","-                {sct.kv.map(([k, v]) => (","-                  <div key={k} className=\"kv-cell\">","-                    <p className=\"k\">{k}</p>","-                    <p className=\"v\">{v}</p>","-                  </div>","+              <div className=\"mt-4 space-y-3.5\">","+                {sct.paras.map((p, i) => (","+                  <p key={i} className=\"max-w-3xl text-[14.5px] leading-relaxed text-ink-2\">","+                    {p}","+                  </p>","                 ))}","               </div>","-            )}","-            {sct.table && (","-              <div className=\"src-wrap mt-5\">","-                <table className=\"src-table\">","-                  <thead>","-                    <tr>","-                      {sct.table.head.map((h) => (","-                        <th key={h}>{h}</th>","-                      ))}","-                    </tr>","-                  </thead>","-                  <tbody>","-                    {sct.table.rows.map(([a, b, c]) => (","-                      <tr key={a}>","-                        <td className=\"font-semibold\">{a}</td>","-                        <td className=\"vp-mono text-[12.5px]\">{b}</td>","-                        <td className=\"vp-mono text-[12.5px]\">{c}</td>","+              {sct.kv && (","+                <div className=\"mt-5 grid grid-cols-2 gap-x-6 gap-y-2 sm:grid-cols-3\">","+                  {sct.kv.map(([k, v]) => (","+                    <div key={k} className=\"kv-cell\">","+                      <p className=\"k\">{k}</p>","+                      <p className=\"v\">{v}</p>","+                    </div>","+                  ))}","+                </div>","+              )}","+              {sct.table && (","+                <div className=\"src-wrap mt-6 max-w-3xl\">","+                  <table className=\"src-table\">","+                    <thead>","+                      <tr>","+                        {sct.table.head.map((h) => (","+                          <th key={h}>{h}</th>","+                        ))}","                       </tr>","-                    ))}","-                  </tbody>","-                </table>","-              </div>","-            )}","+                    </thead>","+                    <tbody>","+                      {sct.table.rows.map(([a, b, c]) => (","+                        <tr key={a}>","+                          <td className=\"font-semibold\">{a}</td>","+                          <td className=\"vp-mono text-[12.5px]\">{b}</td>","+                          <td className=\"vp-mono text-[12.5px]\">{c}</td>","+                        </tr>","+                      ))}","+                    </tbody>","+                  </table>","+                </div>","+              )}","+            </div>","           </section>","         ))}","       </div>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2ca4fd11-2780-4512-8f3a-874e2247f798","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"51868cce-22f3-4a09-89b2-b0a4d8e2ad06","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"8b8f0cca-21ab-408c-9fc1-071738fa77f3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"d2650af6-4c66-4be0-9dd3-974ba50a2fb8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAM73V5omUaiFWNRMeZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3280,"cache_read_input_tokens":201049,"cache_creation":{"ephemeral_5m_input_tokens":3280,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bb639c82-a9c4-4b2f-a99f-53d54e643a3e","request_id":"req_011CeQAM4BLNhFbQ2Lp9nihc"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAM73V5omUaiFWNRMeZ","type":"message","role":"assistant","content":[{"type":"text","text":"Task 7 terminé. Task 8 : balayage des pages secondaires — je repère tous les résidus (ombres décalées, rotations, pilules `lime`) :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3280,"cache_read_input_tokens":201049,"cache_creation":{"ephemeral_5m_input_tokens":3280,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"edc57701-4a7b-4b89-9000-bfee69e2c588","request_id":"req_011CeQAM4BLNhFbQ2Lp9nihc"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAM73V5omUaiFWNRMeZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UkREGpKFi5PkNEmnD492b3","name":"TaskUpdate","input":{"taskId":"7","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3280,"cache_read_input_tokens":201049,"cache_creation":{"ephemeral_5m_input_tokens":3280,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f7897001-e93c-49f4-b0ec-6f40eb1e9648","request_id":"req_011CeQAM4BLNhFbQ2Lp9nihc"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UkREGpKFi5PkNEmnD492b3","type":"tool_result","content":"Updated task #7 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9836e7ed-09cf-46c4-be3d-aca9e0eebdf7","timestamp":"2026-08-25T21:17:19.491Z","tool_use_result":{"success":true,"taskId":"7","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAM73V5omUaiFWNRMeZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JiQqn9GowMoWVaQ1G11sS6","name":"TaskUpdate","input":{"taskId":"8","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3280,"cache_read_input_tokens":201049,"cache_creation":{"ephemeral_5m_input_tokens":3280,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"07745755-53b4-45d0-890c-8fb36ad6ebca","request_id":"req_011CeQAM4BLNhFbQ2Lp9nihc"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JiQqn9GowMoWVaQ1G11sS6","type":"tool_result","content":"Updated task #8 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"df9a71be-9196-42e6-9a38-5df2b16f0754","timestamp":"2026-08-25T21:17:20.165Z","tool_use_result":{"success":true,"taskId":"8","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAM73V5omUaiFWNRMeZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011hg8DtpUSAqFNFkR7DX2x2","name":"Bash","input":{"command":"grep -rn \"shadow-\\[\\|rotate-\\[\\|bg-lime\\|text-lime\\|hover:bg-lime\\|border-\\[1.5px\\]\\|rounded-\\(md\\|full\\|\\[10px\\]\\|\\[8px\\]\\)\" src/app/ka src/app/compte src/app/favoris src/app/parc src/app/carte src/app/municipalite src/app/municipalites src/app/stats src/app/estimation src/app/contact src/components/StatsView.tsx src/components/StatsDashboard.tsx src/components/KaChat.tsx src/components/RadarMap.tsx src/components/CookieConsent.tsx src/components/FavButton.tsx src/components/LegalPage.tsx src/components/KaCarte.tsx 2>/dev/null | head -80","description":"Find neo-brutalist leftovers in secondary pages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3280,"cache_read_input_tokens":201049,"cache_creation":{"ephemeral_5m_input_tokens":3280,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1dd4b083-ae9f-4a5c-b6d1-665cfa2ede29","request_id":"req_011CeQAM4BLNhFbQ2Lp9nihc"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011hg8DtpUSAqFNFkR7DX2x2","type":"tool_result","content":"src/app/compte/CompteClient.tsx:132:          className=\"vp-display pointer-events-none absolute -top-[34px] right-[-18px] rotate-[-8deg] text-[170px] font-bold leading-none tracking-[-0.06em]\"\nsrc/app/compte/CompteClient.tsx:143:              className=\"ml-[3px] inline-block rotate-[-2deg] rounded-[5px] px-[6px] pb-[3px] pt-[1px] text-ink\"\nsrc/app/compte/CompteClient.tsx:203:              className=\"h-[52px] w-[52px] flex-none rounded-full border-2 object-cover\"\nsrc/app/compte/CompteClient.tsx:208:              className=\"vp-display flex h-[52px] w-[52px] flex-none items-center justify-center rounded-full border-2 text-[22px] font-bold\"\nsrc/app/compte/CompteClient.tsx:348:                        className=\"stat-chip hover:bg-lime-soft\"\nsrc/app/favoris/FavorisClient.tsx:68:        <p className=\"vp-mono mt-4 rounded-[8px] border-[1.5px] border-red-600 bg-surface px-4 py-3 text-[12px] uppercase tracking-[0.04em] text-red-700\">\nsrc/app/favoris/FavorisClient.tsx:145:                  className={`absolute right-4 top-4 flex h-8 w-8 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[14px] leading-none text-lime transition-all hover:bg-green-deep ${\nsrc/app/parc/ParcClient.tsx:138:                    className=\"vp-mono ml-1 cursor-pointer rounded-full border-[1.5px] border-ink px-1.5 text-[10px] font-bold hover:bg-ink hover:text-lime\"\nsrc/app/parc/ParcClient.tsx:233:                  <p className={`vp-display text-[clamp(20px,2.6vw,28px)] font-bold leading-tight tracking-[-0.03em] ${hero ? \"text-lime\" : \"text-ink\"}`}>\nsrc/app/municipalite/[slug]/[type]/page.tsx:167:                  className=\"stat-chip hover:bg-lime\"\nsrc/app/municipalite/[slug]/[type]/page.tsx:175:              <Link href={`/municipalite/${slug}`} className=\"stat-chip hover:bg-lime\">\nsrc/app/municipalite/[slug]/page.tsx:222:                  className=\"stat-chip hover:bg-lime\"\nsrc/components/StatsDashboard.tsx:64:      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\nsrc/components/StatsView.tsx:74:        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\nsrc/components/StatsView.tsx:75:          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">\nsrc/components/StatsView.tsx:97:                <b className=\"!text-lime\">{v}</b> {k}\nsrc/components/FavButton.tsx:137:      className={`flex shrink-0 items-center justify-center rounded-full border-[1.5px] border-ink leading-none transition-all ${dims} ${\nsrc/components/FavButton.tsx:139:          ? \"bg-ink text-lime hover:bg-green-deep\"\nsrc/components/FavButton.tsx:140:          : \"bg-surface text-ink-3 hover:bg-lime-soft hover:text-ink\"\nsrc/components/KaChat.tsx:76:            <span className=\"mt-[7px] h-[6px] w-[6px] shrink-0 rounded-full bg-[var(--lime)]\" />\nsrc/components/KaChat.tsx:91:        className=\"my-2 max-w-full overflow-x-auto rounded-lg border-[1.5px] border-[var(--line)] bg-surface\"\nsrc/components/KaChat.tsx:319:            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\nsrc/components/KaChat.tsx:320:              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\nsrc/components/KaChat.tsx:335:                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\nsrc/components/KaChat.tsx:347:              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\nsrc/components/KaChat.tsx:352:                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\nsrc/components/KaChat.tsx:353:                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\nsrc/components/KaChat.tsx:361:                          className=\"vp-mono inline-flex items-center gap-1.5 rounded-full border border-[var(--line)] bg-surface-2 px-2.5 py-[3px] text-[9.5px] uppercase tracking-[0.05em] text-ink-2\"\nsrc/components/KaChat.tsx:364:                            className={`h-[6px] w-[6px] rounded-full ${\nsrc/components/KaChat.tsx:380:                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:0ms]\" />\nsrc/components/KaChat.tsx:381:                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:120ms]\" />\nsrc/components/KaChat.tsx:382:                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:240ms]\" />\nsrc/components/RadarMap.tsx:234:          className=\"pointer-events-none absolute z-10 max-w-[230px] rounded-lg border border-lime bg-ink px-3.5 py-2.5 text-[12px] leading-relaxed text-paper shadow-[0_8px_24px_rgba(16,18,16,0.35)]\"\nsrc/components/RadarMap.tsx:241:          <p className=\"vp-display mb-0.5 font-bold text-lime\">{hovered.label}</p>\nsrc/components/CookieConsent.tsx:92:      className={`relative h-7 w-12 shrink-0 rounded-full border-[1.5px] border-ink transition-colors ${\nsrc/components/CookieConsent.tsx:93:        on ? \"bg-lime\" : \"bg-surface-2\"\nsrc/components/CookieConsent.tsx:97:        className={`absolute top-[2.5px] h-[18px] w-[18px] rounded-full bg-ink transition-all ${\nsrc/components/CookieConsent.tsx:167:          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\nsrc/components/CookieConsent.tsx:168:            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>\nsrc/components/CookieConsent.tsx:171:              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\nsrc/components/CookieConsent.tsx:176:              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>\nsrc/components/CookieConsent.tsx:202:            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\nsrc/components/CookieConsent.tsx:217:                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\nsrc/components/LegalPage.tsx:68:        <p className=\"klabel !text-lime\">","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"64fd35f4-d3b6-422d-92bd-f812e9edaa7d","timestamp":"2026-08-25T21:17:22.720Z","tool_use_result":{"stdout":"src/app/compte/CompteClient.tsx:132:          className=\"vp-display pointer-events-none absolute -top-[34px] right-[-18px] rotate-[-8deg] text-[170px] font-bold leading-none tracking-[-0.06em]\"\nsrc/app/compte/CompteClient.tsx:143:              className=\"ml-[3px] inline-block rotate-[-2deg] rounded-[5px] px-[6px] pb-[3px] pt-[1px] text-ink\"\nsrc/app/compte/CompteClient.tsx:203:              className=\"h-[52px] w-[52px] flex-none rounded-full border-2 object-cover\"\nsrc/app/compte/CompteClient.tsx:208:              className=\"vp-display flex h-[52px] w-[52px] flex-none items-center justify-center rounded-full border-2 text-[22px] font-bold\"\nsrc/app/compte/CompteClient.tsx:348:                        className=\"stat-chip hover:bg-lime-soft\"\nsrc/app/favoris/FavorisClient.tsx:68:        <p className=\"vp-mono mt-4 rounded-[8px] border-[1.5px] border-red-600 bg-surface px-4 py-3 text-[12px] uppercase tracking-[0.04em] text-red-700\">\nsrc/app/favoris/FavorisClient.tsx:145:                  className={`absolute right-4 top-4 flex h-8 w-8 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[14px] leading-none text-lime transition-all hover:bg-green-deep ${\nsrc/app/parc/ParcClient.tsx:138:                    className=\"vp-mono ml-1 cursor-pointer rounded-full border-[1.5px] border-ink px-1.5 text-[10px] font-bold hover:bg-ink hover:text-lime\"\nsrc/app/parc/ParcClient.tsx:233:                  <p className={`vp-display text-[clamp(20px,2.6vw,28px)] font-bold leading-tight tracking-[-0.03em] ${hero ? \"text-lime\" : \"text-ink\"}`}>\nsrc/app/municipalite/[slug]/[type]/page.tsx:167:                  className=\"stat-chip hover:bg-lime\"\nsrc/app/municipalite/[slug]/[type]/page.tsx:175:              <Link href={`/municipalite/${slug}`} className=\"stat-chip hover:bg-lime\">\nsrc/app/municipalite/[slug]/page.tsx:222:                  className=\"stat-chip hover:bg-lime\"\nsrc/components/StatsDashboard.tsx:64:      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\nsrc/components/StatsView.tsx:74:        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\nsrc/components/StatsView.tsx:75:          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">\nsrc/components/StatsView.tsx:97:                <b className=\"!text-lime\">{v}</b> {k}\nsrc/components/FavButton.tsx:137:      className={`flex shrink-0 items-center justify-center rounded-full border-[1.5px] border-ink leading-none transition-all ${dims} ${\nsrc/components/FavButton.tsx:139:          ? \"bg-ink text-lime hover:bg-green-deep\"\nsrc/components/FavButton.tsx:140:          : \"bg-surface text-ink-3 hover:bg-lime-soft hover:text-ink\"\nsrc/components/KaChat.tsx:76:            <span className=\"mt-[7px] h-[6px] w-[6px] shrink-0 rounded-full bg-[var(--lime)]\" />\nsrc/components/KaChat.tsx:91:        className=\"my-2 max-w-full overflow-x-auto rounded-lg border-[1.5px] border-[var(--line)] bg-surface\"\nsrc/components/KaChat.tsx:319:            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\nsrc/components/KaChat.tsx:320:              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\nsrc/components/KaChat.tsx:335:                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\nsrc/components/KaChat.tsx:347:              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\nsrc/components/KaChat.tsx:352:                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\nsrc/components/KaChat.tsx:353:                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\nsrc/components/KaChat.tsx:361:                          className=\"vp-mono inline-flex items-center gap-1.5 rounded-full border border-[var(--line)] bg-surface-2 px-2.5 py-[3px] text-[9.5px] uppercase tracking-[0.05em] text-ink-2\"\nsrc/components/KaChat.tsx:364:                            className={`h-[6px] w-[6px] rounded-full ${\nsrc/components/KaChat.tsx:380:                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:0ms]\" />\nsrc/components/KaChat.tsx:381:                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:120ms]\" />\nsrc/components/KaChat.tsx:382:                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:240ms]\" />\nsrc/components/RadarMap.tsx:234:          className=\"pointer-events-none absolute z-10 max-w-[230px] rounded-lg border border-lime bg-ink px-3.5 py-2.5 text-[12px] leading-relaxed text-paper shadow-[0_8px_24px_rgba(16,18,16,0.35)]\"\nsrc/components/RadarMap.tsx:241:          <p className=\"vp-display mb-0.5 font-bold text-lime\">{hovered.label}</p>\nsrc/components/CookieConsent.tsx:92:      className={`relative h-7 w-12 shrink-0 rounded-full border-[1.5px] border-ink transition-colors ${\nsrc/components/CookieConsent.tsx:93:        on ? \"bg-lime\" : \"bg-surface-2\"\nsrc/components/CookieConsent.tsx:97:        className={`absolute top-[2.5px] h-[18px] w-[18px] rounded-full bg-ink transition-all ${\nsrc/components/CookieConsent.tsx:167:          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\nsrc/components/CookieConsent.tsx:168:            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>\nsrc/components/CookieConsent.tsx:171:              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\nsrc/components/CookieConsent.tsx:176:              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>\nsrc/components/CookieConsent.tsx:202:            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\nsrc/components/CookieConsent.tsx:217:                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\nsrc/components/LegalPage.tsx:68:        <p className=\"klabel !text-lime\">","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f2537a76-f2d2-40c1-8ebd-fbc861dd712c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"82ac7666-d8d1-4f1c-b7c3-d226c672535e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"da7c3c9e-18a3-426c-b442-cf2b8d081e28","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"c214b5b7-d99b-4b70-a137-9081944385d8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":50,"uuid":"4e0fe906-9cc6-4bbf-b427-4af0a5aa75f9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":150,"uuid":"53833300-b628-4bfb-ade1-d4acb1c063a5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":50,"uuid":"369239bc-8089-4edd-b24d-6a2b57cb7a23","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":150,"uuid":"203bcd16-1522-4b79-9fc9-291050f30cd0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":50,"uuid":"454dfb84-3b27-459d-8dc7-41142ce1ead0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAMxKtK4hqZLi71vzus","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3957,"cache_read_input_tokens":204329,"cache_creation":{"ephemeral_5m_input_tokens":3957,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"32173c6b-2dca-4139-9258-5142424c9ab4","request_id":"req_011CeQAMvUWhvUSDC43NSxMi"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAMxKtK4hqZLi71vzus","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3957,"cache_read_input_tokens":204329,"cache_creation":{"ephemeral_5m_input_tokens":3957,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"24cfc90c-89dc-4a27-b181-60e1afc20451","request_id":"req_011CeQAMvUWhvUSDC43NSxMi"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAMxKtK4hqZLi71vzus","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UUHSSUL6eBFybqwxFv895V","name":"Bash","input":{"command":"sed -n 60,100p src/components/StatsView.tsx; echo ----; sed -n 160,230p src/components/CookieConsent.tsx","description":"View StatsView and CookieConsent problem areas"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3957,"cache_read_input_tokens":204329,"cache_creation":{"ephemeral_5m_input_tokens":3957,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"47c65c66-c0c7-450b-8928-2ae4b820b320","request_id":"req_011CeQAMvUWhvUSDC43NSxMi"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UUHSSUL6eBFybqwxFv895V","type":"tool_result","content":"          {fr ? (\n            <>\n              Tout l&apos;immobilier du Québec vaut,\n              <br />\n              <span className=\"hl\">au dollar près</span>…\n            </>\n          ) : (\n            <>\n              All Québec real estate is worth,\n              <br />\n              <span className=\"hl\">to the dollar</span>…\n            </>\n          )}\n        </h1>\n        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">\n            <CountUp\n              value={s.valeur_totale_2026}\n              duration={2600}\n              format={(v) => money(v, lang)}\n            />\n          </p>\n          <p className=\"vp-mono mt-4 text-[11.5px] uppercase tracking-[0.1em] text-[rgba(255,81,72,0.75)]\">\n            {fr\n              ? `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} propriétés · ${num(s.municipalites, lang)} municipalités · millésime 2026`\n              : `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} properties · ${num(s.municipalites, lang)} municipalities · 2026 vintage`}\n          </p>\n          <div className=\"mt-6 flex flex-wrap gap-2.5\">\n            {(\n              [\n                [fr ? \"par Québécois·e\" : \"per Quebecer\", money(s.valeur_totale_2026 / POP_QC, lang)],\n                [fr ? \"budgets annuels du Québec\" : \"annual Québec budgets\", `× ${(s.valeur_totale_2026 / BUDGET_QC).toFixed(1)}`],\n                [fr ? \"fois le PIB du Québec\" : \"× Québec GDP\", `× ${(s.valeur_totale_2026 / PIB_QC).toFixed(1)}`],\n                [fr ? \"depuis 2021 (périmètre constant)\" : \"since 2021 (constant perimeter)\", `+${s.croissance_2021_2026_pct.toLocaleString(fr ? \"fr-CA\" : \"en-CA\")} %`],\n              ] as [string, string][]\n            ).map(([k, v]) => (\n              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">\n                <b className=\"!text-lime\">{v}</b> {k}\n              </span>\n            ))}\n          </div>\n----\n  if (!ready) return null;\n  const showBanner = consent === null && !panel;\n\n  return (\n    <>\n      {showBanner && (\n        <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">\n          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\n            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>\n            <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">\n              {t.banner}{\" \"}\n              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\n                {t.more}\n              </a>\n            </p>\n            <div className=\"mt-4 flex flex-wrap gap-2.5\">\n              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>\n                {t.acceptAll}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => persist(false, false)}\n              >\n                {t.essentialOnly}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => setPanel(true)}\n              >\n                {t.customize}\n              </button>\n            </div>\n          </div>\n        </div>\n      )}\n\n      {panel && (\n        <div\n          className=\"fixed inset-0 z-[var(--z-toast,950)] flex items-end justify-center bg-[rgba(16,18,16,0.55)] p-3 backdrop-blur-[2px] sm:items-center\"\n          onClick={() => setPanel(false)}\n        >\n          <div\n            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\n            onClick={(e) => e.stopPropagation()}\n            role=\"dialog\"\n            aria-modal=\"true\"\n            aria-label={t.prefsTitle}\n          >\n            <h2 className=\"vp-display text-[19px] font-bold uppercase tracking-[-0.01em]\">\n              {t.prefsTitle}\n            </h2>\n            <div className=\"mt-4 space-y-3\">\n              {[\n                { k: t.essential, d: t.essentialDesc, on: true, lock: true, set: undefined },\n                { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },\n                { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },\n              ].map((row) => (\n                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\n                  <div>\n                    <p className=\"vp-display text-[14px] font-bold\">\n                      {row.k}\n                      {row.lock && (\n                        <span className=\"vp-mono ml-2 text-[9px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n                          {t.always}\n                        </span>\n                      )}\n                    </p>\n                    <p className=\"mt-1 text-[12.5px] text-ink-2\">{row.d}</p>\n                  </div>\n                  <Toggle on={row.on} disabled={row.lock} onChange={row.set} />\n                </div>","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"650e52a8-a93a-4141-ad87-0d1d329ca3b6","timestamp":"2026-08-25T21:17:39.110Z","tool_use_result":{"stdout":"          {fr ? (\n            <>\n              Tout l&apos;immobilier du Québec vaut,\n              <br />\n              <span className=\"hl\">au dollar près</span>…\n            </>\n          ) : (\n            <>\n              All Québec real estate is worth,\n              <br />\n              <span className=\"hl\">to the dollar</span>…\n            </>\n          )}\n        </h1>\n        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">\n            <CountUp\n              value={s.valeur_totale_2026}\n              duration={2600}\n              format={(v) => money(v, lang)}\n            />\n          </p>\n          <p className=\"vp-mono mt-4 text-[11.5px] uppercase tracking-[0.1em] text-[rgba(255,81,72,0.75)]\">\n            {fr\n              ? `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} propriétés · ${num(s.municipalites, lang)} municipalités · millésime 2026`\n              : `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} properties · ${num(s.municipalites, lang)} municipalities · 2026 vintage`}\n          </p>\n          <div className=\"mt-6 flex flex-wrap gap-2.5\">\n            {(\n              [\n                [fr ? \"par Québécois·e\" : \"per Quebecer\", money(s.valeur_totale_2026 / POP_QC, lang)],\n                [fr ? \"budgets annuels du Québec\" : \"annual Québec budgets\", `× ${(s.valeur_totale_2026 / BUDGET_QC).toFixed(1)}`],\n                [fr ? \"fois le PIB du Québec\" : \"× Québec GDP\", `× ${(s.valeur_totale_2026 / PIB_QC).toFixed(1)}`],\n                [fr ? \"depuis 2021 (périmètre constant)\" : \"since 2021 (constant perimeter)\", `+${s.croissance_2021_2026_pct.toLocaleString(fr ? \"fr-CA\" : \"en-CA\")} %`],\n              ] as [string, string][]\n            ).map(([k, v]) => (\n              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">\n                <b className=\"!text-lime\">{v}</b> {k}\n              </span>\n            ))}\n          </div>\n----\n  if (!ready) return null;\n  const showBanner = consent === null && !panel;\n\n  return (\n    <>\n      {showBanner && (\n        <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">\n          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\n            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>\n            <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">\n              {t.banner}{\" \"}\n              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\n                {t.more}\n              </a>\n            </p>\n            <div className=\"mt-4 flex flex-wrap gap-2.5\">\n              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>\n                {t.acceptAll}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => persist(false, false)}\n              >\n                {t.essentialOnly}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => setPanel(true)}\n              >\n                {t.customize}\n              </button>\n            </div>\n          </div>\n        </div>\n      )}\n\n      {panel && (\n        <div\n          className=\"fixed inset-0 z-[var(--z-toast,950)] flex items-end justify-center bg-[rgba(16,18,16,0.55)] p-3 backdrop-blur-[2px] sm:items-center\"\n          onClick={() => setPanel(false)}\n        >\n          <div\n            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\n            onClick={(e) => e.stopPropagation()}\n            role=\"dialog\"\n            aria-modal=\"true\"\n            aria-label={t.prefsTitle}\n          >\n            <h2 className=\"vp-display text-[19px] font-bold uppercase tracking-[-0.01em]\">\n              {t.prefsTitle}\n            </h2>\n            <div className=\"mt-4 space-y-3\">\n              {[\n                { k: t.essential, d: t.essentialDesc, on: true, lock: true, set: undefined },\n                { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },\n                { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },\n              ].map((row) => (\n                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\n                  <div>\n                    <p className=\"vp-display text-[14px] font-bold\">\n                      {row.k}\n                      {row.lock && (\n                        <span className=\"vp-mono ml-2 text-[9px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n                          {t.always}\n                        </span>\n                      )}\n                    </p>\n                    <p className=\"mt-1 text-[12.5px] text-ink-2\">{row.d}</p>\n                  </div>\n                  <Toggle on={row.on} disabled={row.lock} onChange={row.set} />\n                </div>","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b6386652-608a-4a76-8188-4c8b1cfd49f0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAP9twK9dpqEquTC3Mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BPHxtJps518M6nKWQdccWf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx","old_string":"        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">","new_string":"        <div className=\"rise mt-6 rounded-[2px] bg-[var(--ink-deep)] p-6 sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-[var(--accent-bright)]\">"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3268,"cache_read_input_tokens":208286,"cache_creation":{"ephemeral_5m_input_tokens":3268,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4182542b-ee95-4537-bb42-bdd251cd7b4b","request_id":"req_011CeQAP8QtMceGMcwUrXdSm"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BPHxtJps518M6nKWQdccWf","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4aac0043-79ee-4dab-b635-eda38fedaf74","timestamp":"2026-08-25T21:17:46.061Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx","oldString":"        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">","newString":"        <div className=\"rise mt-6 rounded-[2px] bg-[var(--ink-deep)] p-6 sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-[var(--accent-bright)]\">","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * /stats — bandeau « LE CHIFFRE » (valeur totale du parc immobilier\n * québécois, comparaisons vulgarisées). Les sections analytiques\n * (KPI, jauges, séries, répartitions, tableaux, records, rapports PDF)\n * sont servies par <StatsDashboard/> — module Stats commun Groupe KA v2.\n */\n\"use client\";\nimport { CountUp } from \"./MetricViz\";\nimport { useLang } from \"./LangContext\";\n\nexport interface ProvStats {\n  generated: string;\n  unites: number;\n  valeur_totale_2026: number;\n  valeur_role_totale: number;\n  valeur_mediane_2026: number;\n  croissance_2021_2026_pct: number;\n  logements: number;\n  aire_etages_km2: number;\n  terrain_km2: number;\n  municipalites: number;\n  totaux_annee: { year: number; total: number; n: number }[];\n  par_type: { type: string; n: number; total: number; mediane: number | null }[];\n  par_ville: { ville: string; n: number; total: number; mediane: number | null }[];\n}\n\nconst POP_QC = 9_111_000; // population du Québec (2026, ISQ)\nconst BUDGET_QC = 165_800_000_000; // dépenses budget QC 2026-2027 (approx.)\nconst PIB_QC = 640_000_000_000; // PIB nominal QC (approx. 2025)\n\nconst money = (v: number, lang: string, frac = 0) =>\n  new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    style: \"currency\",\n    currency: \"CAD\",\n    maximumFractionDigits: frac,\n  }).format(v);\n\nconst compact = (v: number, lang: string) => {\n  const fr = lang === \"fr\";\n  if (v >= 1e12) return `${(v / 1e12).toLocaleString(fr ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 2 })} ${fr ? \"billions $\" : \"T$\"}`;\n  if (v >= 1e9) return `${(v / 1e9).toLocaleString(fr ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} G$`;\n  if (v >= 1e6) return `${(v / 1e6).toLocaleString(fr ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} M$`;\n  return money(v, lang);\n};\n\nconst num = (v: number, lang: string) =>\n  v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\");\n\nexport default function StatsView({ s }: { s: ProvStats }) {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n\n  return (\n    <div className=\"pt-10 sm:pt-14\">\n      {/* ---- LE CHIFFRE ---- */}\n      <section>\n        <span className=\"kicker\">{fr ? \"Juste pour le show\" : \"Just for the show\"}</span>\n        <h1 className=\"vp-display mt-3 text-[clamp(26px,4.6vw,46px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">\n          {fr ? (\n            <>\n              Tout l&apos;immobilier du Québec vaut,\n              <br />\n              <span className=\"hl\">au dollar près</span>…\n            </>\n          ) : (\n            <>\n              All Québec real estate is worth,\n              <br />\n              <span className=\"hl\">to the dollar</span>…\n            </>\n          )}\n        </h1>\n        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">\n            <CountUp\n              value={s.valeur_totale_2026}\n              duration={2600}\n              format={(v) => money(v, lang)}\n            />\n          </p>\n          <p className=\"vp-mono mt-4 text-[11.5px] uppercase tracking-[0.1em] text-[rgba(255,81,72,0.75)]\">\n            {fr\n              ? `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} propriétés · ${num(s.municipalites, lang)} municipalités · millésime 2026`\n              : `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} properties · ${num(s.municipalites, lang)} municipalities · 2026 vintage`}\n          </p>\n          <div className=\"mt-6 flex flex-wrap gap-2.5\">\n            {(\n              [\n                [fr ? \"par Québécois·e\" : \"per Quebecer\", money(s.valeur_totale_2026 / POP_QC, lang)],\n                [fr ? \"budgets annuels du Québec\" : \"annual Québec budgets\", `× ${(s.valeur_totale_2026 / BUDGET_QC).toFixed(1)}`],\n                [fr ? \"fois le PIB du Québec\" : \"× Québec GDP\", `× ${(s.valeur_totale_2026 / PIB_QC).toFixed(1)}`],\n                [fr ? \"depuis 2021 (périmètre constant)\" : \"since 2021 (constant perimeter)\", `+${s.croissance_2021_2026_pct.toLocaleString(fr ? \"fr-CA\" : \"en-CA\")} %`],\n              ] as [string, string][]\n            ).map(([k, v]) => (\n              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">\n                <b className=\"!text-lime\">{v}</b> {k}\n              </span>\n            ))}\n          </div>\n        </div>\n        <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n          {fr\n            ? \"Somme des 3 747 008 estimations Vrai-Prix (modèle hédonique, rôle 2026). Évaluation municipale totale correspondante : \"\n            : \"Sum of 3,747,008 Vrai-Prix estimates (hedonic model, 2026 roll). Corresponding total municipal assessment: \"}\n          {compact(s.valeur_role_totale, lang)}.\n        </p>\n      </section>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":71,"oldLines":8,"newStart":71,"newLines":8,"lines":["             </>","           )}","         </h1>","-        <div className=\"rise mt-6 rounded-[10px] border-[1.5px] border-ink bg-ink p-6 shadow-[10px_10px_0_rgba(20,24,20,0.25)] sm:p-10\">","-          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-lime\">","+        <div className=\"rise mt-6 rounded-[2px] bg-[var(--ink-deep)] p-6 sm:p-10\">","+          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-[var(--accent-bright)]\">","             <CountUp","               value={s.valeur_totale_2026}","               duration={2600}"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAP9twK9dpqEquTC3Mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QSyZPHXqUPdfL8SxgMaYMg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx","old_string":"              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">\n                <b className=\"!text-lime\">{v}</b> {k}\n              </span>","new_string":"              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(245,243,238,0.25)] !text-[rgba(245,243,238,0.85)]\">\n                <b className=\"!text-[var(--accent-bright)]\">{v}</b> {k}\n              </span>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3268,"cache_read_input_tokens":208286,"cache_creation":{"ephemeral_5m_input_tokens":3268,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d8c5d33c-1be8-4c86-a8eb-ece99abe5b05","request_id":"req_011CeQAP8QtMceGMcwUrXdSm"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QSyZPHXqUPdfL8SxgMaYMg","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ea8cf031-9404-4952-a51a-9161b2e71ebe","timestamp":"2026-08-25T21:17:48.885Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsView.tsx","oldString":"              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">\n                <b className=\"!text-lime\">{v}</b> {k}\n              </span>","newString":"              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(245,243,238,0.25)] !text-[rgba(245,243,238,0.85)]\">\n                <b className=\"!text-[var(--accent-bright)]\">{v}</b> {k}\n              </span>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * /stats — bandeau « LE CHIFFRE » (valeur totale du parc immobilier\n * québécois, comparaisons vulgarisées). Les sections analytiques\n * (KPI, jauges, séries, répartitions, tableaux, records, rapports PDF)\n * sont servies par <StatsDashboard/> — module Stats commun Groupe KA v2.\n */\n\"use client\";\nimport { CountUp } from \"./MetricViz\";\nimport { useLang } from \"./LangContext\";\n\nexport interface ProvStats {\n  generated: string;\n  unites: number;\n  valeur_totale_2026: number;\n  valeur_role_totale: number;\n  valeur_mediane_2026: number;\n  croissance_2021_2026_pct: number;\n  logements: number;\n  aire_etages_km2: number;\n  terrain_km2: number;\n  municipalites: number;\n  totaux_annee: { year: number; total: number; n: number }[];\n  par_type: { type: string; n: number; total: number; mediane: number | null }[];\n  par_ville: { ville: string; n: number; total: number; mediane: number | null }[];\n}\n\nconst POP_QC = 9_111_000; // population du Québec (2026, ISQ)\nconst BUDGET_QC = 165_800_000_000; // dépenses budget QC 2026-2027 (approx.)\nconst PIB_QC = 640_000_000_000; // PIB nominal QC (approx. 2025)\n\nconst money = (v: number, lang: string, frac = 0) =>\n  new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    style: \"currency\",\n    currency: \"CAD\",\n    maximumFractionDigits: frac,\n  }).format(v);\n\nconst compact = (v: number, lang: string) => {\n  const fr = lang === \"fr\";\n  if (v >= 1e12) return `${(v / 1e12).toLocaleString(fr ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 2 })} ${fr ? \"billions $\" : \"T$\"}`;\n  if (v >= 1e9) return `${(v / 1e9).toLocaleString(fr ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} G$`;\n  if (v >= 1e6) return `${(v / 1e6).toLocaleString(fr ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} M$`;\n  return money(v, lang);\n};\n\nconst num = (v: number, lang: string) =>\n  v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\");\n\nexport default function StatsView({ s }: { s: ProvStats }) {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n\n  return (\n    <div className=\"pt-10 sm:pt-14\">\n      {/* ---- LE CHIFFRE ---- */}\n      <section>\n        <span className=\"kicker\">{fr ? \"Juste pour le show\" : \"Just for the show\"}</span>\n        <h1 className=\"vp-display mt-3 text-[clamp(26px,4.6vw,46px)] font-bold uppercase leading-[1.02] tracking-[-0.03em]\">\n          {fr ? (\n            <>\n              Tout l&apos;immobilier du Québec vaut,\n              <br />\n              <span className=\"hl\">au dollar près</span>…\n            </>\n          ) : (\n            <>\n              All Québec real estate is worth,\n              <br />\n              <span className=\"hl\">to the dollar</span>…\n            </>\n          )}\n        </h1>\n        <div className=\"rise mt-6 rounded-[2px] bg-[var(--ink-deep)] p-6 sm:p-10\">\n          <p className=\"vp-display break-all text-[clamp(30px,6.2vw,76px)] font-bold leading-none tracking-[-0.03em] text-[var(--accent-bright)]\">\n            <CountUp\n              value={s.valeur_totale_2026}\n              duration={2600}\n              format={(v) => money(v, lang)}\n            />\n          </p>\n          <p className=\"vp-mono mt-4 text-[11.5px] uppercase tracking-[0.1em] text-[rgba(255,81,72,0.75)]\">\n            {fr\n              ? `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} propriétés · ${num(s.municipalites, lang)} municipalités · millésime 2026`\n              : `≈ ${compact(s.valeur_totale_2026, lang)} · ${num(s.unites, lang)} properties · ${num(s.municipalites, lang)} municipalities · 2026 vintage`}\n          </p>\n          <div className=\"mt-6 flex flex-wrap gap-2.5\">\n            {(\n              [\n                [fr ? \"par Québécois·e\" : \"per Quebecer\", money(s.valeur_totale_2026 / POP_QC, lang)],\n                [fr ? \"budgets annuels du Québec\" : \"annual Québec budgets\", `× ${(s.valeur_totale_2026 / BUDGET_QC).toFixed(1)}`],\n                [fr ? \"fois le PIB du Québec\" : \"× Québec GDP\", `× ${(s.valeur_totale_2026 / PIB_QC).toFixed(1)}`],\n                [fr ? \"depuis 2021 (périmètre constant)\" : \"since 2021 (constant perimeter)\", `+${s.croissance_2021_2026_pct.toLocaleString(fr ? \"fr-CA\" : \"en-CA\")} %`],\n              ] as [string, string][]\n            ).map(([k, v]) => (\n              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">\n                <b className=\"!text-lime\">{v}</b> {k}\n              </span>\n            ))}\n          </div>\n        </div>\n        <p className=\"vp-mono mt-3 text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n          {fr\n            ? \"Somme des 3 747 008 estimations Vrai-Prix (modèle hédonique, rôle 2026). Évaluation municipale totale correspondante : \"\n            : \"Sum of 3,747,008 Vrai-Prix estimates (hedonic model, 2026 roll). Corresponding total municipal assessment: \"}\n          {compact(s.valeur_role_totale, lang)}.\n        </p>\n      </section>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":93,"oldLines":8,"newStart":93,"newLines":8,"lines":["                 [fr ? \"depuis 2021 (périmètre constant)\" : \"since 2021 (constant perimeter)\", `+${s.croissance_2021_2026_pct.toLocaleString(fr ? \"fr-CA\" : \"en-CA\")} %`],","               ] as [string, string][]","             ).map(([k, v]) => (","-              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(255,81,72,0.5)] !bg-transparent !text-[rgba(245,243,238,0.85)] !shadow-none\">","-                <b className=\"!text-lime\">{v}</b> {k}","+              <span key={k} className=\"stat-chip max-w-full !whitespace-normal !border-[rgba(245,243,238,0.25)] !text-[rgba(245,243,238,0.85)]\">","+                <b className=\"!text-[var(--accent-bright)]\">{v}</b> {k}","               </span>","             ))}","           </div>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAP9twK9dpqEquTC3Mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V4V5WgngaFHwd1VGCFqEwZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","old_string":"          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\n            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>","new_string":"          <div className=\"mx-auto max-w-3xl rounded-[2px] bg-[var(--ink-deep)] p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35)]\">\n            <p className=\"klabel !text-[var(--accent-bright)]\">🍪 {t.prefsTitle}</p>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3268,"cache_read_input_tokens":208286,"cache_creation":{"ephemeral_5m_input_tokens":3268,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2ea7da04-019c-43bc-9dca-9697f74f4c9d","request_id":"req_011CeQAP8QtMceGMcwUrXdSm"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V4V5WgngaFHwd1VGCFqEwZ","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0fe31e32-36eb-4b1b-bc8c-fabe43cc53d0","timestamp":"2026-08-25T21:17:52.424Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","oldString":"          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\n            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>","newString":"          <div className=\"mx-auto max-w-3xl rounded-[2px] bg-[var(--ink-deep)] p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35)]\">\n            <p className=\"klabel !text-[var(--accent-bright)]\">🍪 {t.prefsTitle}</p>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Gestionnaire de consentement aux témoins (Loi 25) :\n * bandeau au premier passage + panneau de préférences réouvrable partout\n * (événement window « vp-open-cookie-prefs » ou bouton du pied de page).\n * Choix conservé 12 mois dans localStorage (vp-cookie-consent).\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport interface ConsentState {\n  essential: true;\n  preferences: boolean;\n  analytics: boolean;\n  savedAt: string;\n}\n\nconst KEY = \"vp-cookie-consent\";\nconst MAX_AGE_DAYS = 365;\n\nexport function readConsent(): ConsentState | null {\n  if (typeof window === \"undefined\") return null;\n  try {\n    const raw = window.localStorage.getItem(KEY);\n    if (!raw) return null;\n    const c = JSON.parse(raw) as ConsentState;\n    const age = (Date.now() - new Date(c.savedAt).getTime()) / 86400000;\n    return age > MAX_AGE_DAYS ? null : c;\n  } catch {\n    return null;\n  }\n}\n\nexport function openCookiePrefs() {\n  window.dispatchEvent(new Event(\"vp-open-cookie-prefs\"));\n}\n\nconst TXT = {\n  fr: {\n    banner:\n      \"Vrai-Prix utilise un minimum de témoins : des essentiels (fonctionnement du site) et, si vous l'acceptez, un témoin de préférences pour retenir votre langue. Aucun témoin publicitaire, aucun pistage tiers.\",\n    acceptAll: \"Tout accepter\",\n    essentialOnly: \"Essentiels seulement\",\n    customize: \"Personnaliser\",\n    prefsTitle: \"Préférences de témoins\",\n    essential: \"Essentiels\",\n    essentialDesc: \"Nécessaires au fonctionnement (sécurité, session). Toujours actifs.\",\n    prefs: \"Préférences\",\n    prefsDesc: \"Retient votre langue d'affichage (FR/EN) sur cet appareil, 12 mois.\",\n    analytics: \"Mesure d'audience\",\n    analyticsDesc: \"Aucun outil de mesure n'est actuellement utilisé. Ce réglage s'appliquera si un jour un outil respectueux est ajouté.\",\n    always: \"Toujours actifs\",\n    save: \"Enregistrer mes choix\",\n    more: \"Politique de confidentialité\",\n  },\n  en: {\n    banner:\n      \"Vrai-Prix uses a minimum of cookies: essential ones (site operation) and, with your consent, a preference cookie to remember your language. No advertising cookies, no third-party tracking.\",\n    acceptAll: \"Accept all\",\n    essentialOnly: \"Essential only\",\n    customize: \"Customize\",\n    prefsTitle: \"Cookie preferences\",\n    essential: \"Essential\",\n    essentialDesc: \"Required for operation (security, session). Always on.\",\n    prefs: \"Preferences\",\n    prefsDesc: \"Remembers your display language (FR/EN) on this device for 12 months.\",\n    analytics: \"Analytics\",\n    analyticsDesc: \"No analytics tool is currently used. This setting will apply if a privacy-respecting tool is ever added.\",\n    always: \"Always on\",\n    save: \"Save my choices\",\n    more: \"Privacy policy\",\n  },\n};\n\nfunction Toggle({\n  on,\n  disabled,\n  onChange,\n}: {\n  on: boolean;\n  disabled?: boolean;\n  onChange?: (v: boolean) => void;\n}) {\n  return (\n    <button\n      type=\"button\"\n      role=\"switch\"\n      aria-checked={on}\n      disabled={disabled}\n      onClick={() => onChange?.(!on)}\n      className={`relative h-7 w-12 shrink-0 rounded-full border-[1.5px] border-ink transition-colors ${\n        on ? \"bg-lime\" : \"bg-surface-2\"\n      } ${disabled ? \"cursor-not-allowed opacity-70\" : \"cursor-pointer\"}`}\n    >\n      <span\n        className={`absolute top-[2.5px] h-[18px] w-[18px] rounded-full bg-ink transition-all ${\n          on ? \"left-[26px]\" : \"left-[3px]\"\n        }`}\n      />\n    </button>\n  );\n}\n\nexport default function CookieConsent() {\n  const { lang } = useLang();\n  const t = TXT[lang];\n  const [ready, setReady] = useState(false);\n  const [consent, setConsent] = useState<ConsentState | null>(null);\n  const [panel, setPanel] = useState(false);\n  const [prefs, setPrefs] = useState(true);\n  const [analytics, setAnalytics] = useState(false);\n\n  useEffect(() => {\n    const id = setTimeout(() => {\n      const c = readConsent();\n      setConsent(c);\n      if (c) {\n        setPrefs(c.preferences);\n        setAnalytics(c.analytics);\n      }\n      setReady(true);\n    }, 0);\n    const open = () => setPanel(true);\n    window.addEventListener(\"vp-open-cookie-prefs\", open);\n    return () => {\n      clearTimeout(id);\n      window.removeEventListener(\"vp-open-cookie-prefs\", open);\n    };\n  }, []);\n\n  // Panneau ouvert : verrou du scroll d'arrière-plan + fermeture à Escape (avec cleanup).\n  useEffect(() => {\n    if (!panel) return;\n    const prev = document.body.style.overflow;\n    document.body.style.overflow = \"hidden\";\n    const onKey = (e: KeyboardEvent) => {\n      if (e.key === \"Escape\") setPanel(false);\n    };\n    window.addEventListener(\"keydown\", onKey);\n    return () => {\n      document.body.style.overflow = prev;\n      window.removeEventListener(\"keydown\", onKey);\n    };\n  }, [panel]);\n\n  const persist = (preferences: boolean, analyticsOn: boolean) => {\n    const c: ConsentState = {\n      essential: true,\n      preferences,\n      analytics: analyticsOn,\n      savedAt: new Date().toISOString(),\n    };\n    window.localStorage.setItem(KEY, JSON.stringify(c));\n    if (!preferences) window.localStorage.removeItem(\"vp-lang\");\n    setConsent(c);\n    setPanel(false);\n  };\n\n  if (!ready) return null;\n  const showBanner = consent === null && !panel;\n\n  return (\n    <>\n      {showBanner && (\n        <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">\n          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">\n            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>\n            <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">\n              {t.banner}{\" \"}\n              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\n                {t.more}\n              </a>\n            </p>\n            <div className=\"mt-4 flex flex-wrap gap-2.5\">\n              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>\n                {t.acceptAll}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => persist(false, false)}\n              >\n                {t.essentialOnly}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => setPanel(true)}\n              >\n                {t.customize}\n              </button>\n            </div>\n          </div>\n        </div>\n      )}\n\n      {panel && (\n        <div\n          className=\"fixed inset-0 z-[var(--z-toast,950)] flex items-end justify-center bg-[rgba(16,18,16,0.55)] p-3 backdrop-blur-[2px] sm:items-center\"\n          onClick={() => setPanel(false)}\n        >\n          <div\n            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\n            onClick={(e) => e.stopPropagation()}\n            role=\"dialog\"\n            aria-modal=\"true\"\n            aria-label={t.prefsTitle}\n          >\n            <h2 className=\"vp-display text-[19px] font-bold uppercase tracking-[-0.01em]\">\n              {t.prefsTitle}\n            </h2>\n            <div className=\"mt-4 space-y-3\">\n              {[\n                { k: t.essential, d: t.essentialDesc, on: true, lock: true, set: undefined },\n                { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },\n                { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },\n              ].map((row) => (\n                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\n                  <div>\n                    <p className=\"vp-display text-[14px] font-bold\">\n                      {row.k}\n                      {row.lock && (\n                        <span className=\"vp-mono ml-2 text-[9px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n                          {t.always}\n                        </span>\n                      )}\n                    </p>\n                    <p className=\"mt-1 text-[12.5px] text-ink-2\">{row.d}</p>\n                  </div>\n                  <Toggle on={row.on} disabled={row.lock} onChange={row.set} />\n                </div>\n              ))}\n            </div>\n            <button className=\"btn btn-primary mt-5 w-full\" onClick={() => persist(prefs, analytics)}>\n              {t.save}\n            </button>\n          </div>\n        </div>\n      )}\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":164,"oldLines":8,"newStart":164,"newLines":8,"lines":["     <>","       {showBanner && (","         <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">","-          <div className=\"mx-auto max-w-3xl rounded-[10px] border-[1.5px] border-ink bg-ink p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35),6px_6px_0_rgba(20,24,20,0.3)]\">","-            <p className=\"klabel !text-lime\">🍪 {t.prefsTitle}</p>","+          <div className=\"mx-auto max-w-3xl rounded-[2px] bg-[var(--ink-deep)] p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35)]\">","+            <p className=\"klabel !text-[var(--accent-bright)]\">🍪 {t.prefsTitle}</p>","             <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">","               {t.banner}{\" \"}","               <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAP9twK9dpqEquTC3Mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ecmh5q4mMME7RxYCzFUn3d","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","old_string":"              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>","new_string":"              <button className=\"btn btn-accent\" onClick={() => persist(true, true)}>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3268,"cache_read_input_tokens":208286,"cache_creation":{"ephemeral_5m_input_tokens":3268,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"12d2aa9f-4aa3-4202-a919-3c863e92eac2","request_id":"req_011CeQAP8QtMceGMcwUrXdSm"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ecmh5q4mMME7RxYCzFUn3d","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6fb9be97-89ca-48c8-9356-aba41919458b","timestamp":"2026-08-25T21:17:53.840Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","oldString":"              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>","newString":"              <button className=\"btn btn-accent\" onClick={() => persist(true, true)}>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Gestionnaire de consentement aux témoins (Loi 25) :\n * bandeau au premier passage + panneau de préférences réouvrable partout\n * (événement window « vp-open-cookie-prefs » ou bouton du pied de page).\n * Choix conservé 12 mois dans localStorage (vp-cookie-consent).\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport interface ConsentState {\n  essential: true;\n  preferences: boolean;\n  analytics: boolean;\n  savedAt: string;\n}\n\nconst KEY = \"vp-cookie-consent\";\nconst MAX_AGE_DAYS = 365;\n\nexport function readConsent(): ConsentState | null {\n  if (typeof window === \"undefined\") return null;\n  try {\n    const raw = window.localStorage.getItem(KEY);\n    if (!raw) return null;\n    const c = JSON.parse(raw) as ConsentState;\n    const age = (Date.now() - new Date(c.savedAt).getTime()) / 86400000;\n    return age > MAX_AGE_DAYS ? null : c;\n  } catch {\n    return null;\n  }\n}\n\nexport function openCookiePrefs() {\n  window.dispatchEvent(new Event(\"vp-open-cookie-prefs\"));\n}\n\nconst TXT = {\n  fr: {\n    banner:\n      \"Vrai-Prix utilise un minimum de témoins : des essentiels (fonctionnement du site) et, si vous l'acceptez, un témoin de préférences pour retenir votre langue. Aucun témoin publicitaire, aucun pistage tiers.\",\n    acceptAll: \"Tout accepter\",\n    essentialOnly: \"Essentiels seulement\",\n    customize: \"Personnaliser\",\n    prefsTitle: \"Préférences de témoins\",\n    essential: \"Essentiels\",\n    essentialDesc: \"Nécessaires au fonctionnement (sécurité, session). Toujours actifs.\",\n    prefs: \"Préférences\",\n    prefsDesc: \"Retient votre langue d'affichage (FR/EN) sur cet appareil, 12 mois.\",\n    analytics: \"Mesure d'audience\",\n    analyticsDesc: \"Aucun outil de mesure n'est actuellement utilisé. Ce réglage s'appliquera si un jour un outil respectueux est ajouté.\",\n    always: \"Toujours actifs\",\n    save: \"Enregistrer mes choix\",\n    more: \"Politique de confidentialité\",\n  },\n  en: {\n    banner:\n      \"Vrai-Prix uses a minimum of cookies: essential ones (site operation) and, with your consent, a preference cookie to remember your language. No advertising cookies, no third-party tracking.\",\n    acceptAll: \"Accept all\",\n    essentialOnly: \"Essential only\",\n    customize: \"Customize\",\n    prefsTitle: \"Cookie preferences\",\n    essential: \"Essential\",\n    essentialDesc: \"Required for operation (security, session). Always on.\",\n    prefs: \"Preferences\",\n    prefsDesc: \"Remembers your display language (FR/EN) on this device for 12 months.\",\n    analytics: \"Analytics\",\n    analyticsDesc: \"No analytics tool is currently used. This setting will apply if a privacy-respecting tool is ever added.\",\n    always: \"Always on\",\n    save: \"Save my choices\",\n    more: \"Privacy policy\",\n  },\n};\n\nfunction Toggle({\n  on,\n  disabled,\n  onChange,\n}: {\n  on: boolean;\n  disabled?: boolean;\n  onChange?: (v: boolean) => void;\n}) {\n  return (\n    <button\n      type=\"button\"\n      role=\"switch\"\n      aria-checked={on}\n      disabled={disabled}\n      onClick={() => onChange?.(!on)}\n      className={`relative h-7 w-12 shrink-0 rounded-full border-[1.5px] border-ink transition-colors ${\n        on ? \"bg-lime\" : \"bg-surface-2\"\n      } ${disabled ? \"cursor-not-allowed opacity-70\" : \"cursor-pointer\"}`}\n    >\n      <span\n        className={`absolute top-[2.5px] h-[18px] w-[18px] rounded-full bg-ink transition-all ${\n          on ? \"left-[26px]\" : \"left-[3px]\"\n        }`}\n      />\n    </button>\n  );\n}\n\nexport default function CookieConsent() {\n  const { lang } = useLang();\n  const t = TXT[lang];\n  const [ready, setReady] = useState(false);\n  const [consent, setConsent] = useState<ConsentState | null>(null);\n  const [panel, setPanel] = useState(false);\n  const [prefs, setPrefs] = useState(true);\n  const [analytics, setAnalytics] = useState(false);\n\n  useEffect(() => {\n    const id = setTimeout(() => {\n      const c = readConsent();\n      setConsent(c);\n      if (c) {\n        setPrefs(c.preferences);\n        setAnalytics(c.analytics);\n      }\n      setReady(true);\n    }, 0);\n    const open = () => setPanel(true);\n    window.addEventListener(\"vp-open-cookie-prefs\", open);\n    return () => {\n      clearTimeout(id);\n      window.removeEventListener(\"vp-open-cookie-prefs\", open);\n    };\n  }, []);\n\n  // Panneau ouvert : verrou du scroll d'arrière-plan + fermeture à Escape (avec cleanup).\n  useEffect(() => {\n    if (!panel) return;\n    const prev = document.body.style.overflow;\n    document.body.style.overflow = \"hidden\";\n    const onKey = (e: KeyboardEvent) => {\n      if (e.key === \"Escape\") setPanel(false);\n    };\n    window.addEventListener(\"keydown\", onKey);\n    return () => {\n      document.body.style.overflow = prev;\n      window.removeEventListener(\"keydown\", onKey);\n    };\n  }, [panel]);\n\n  const persist = (preferences: boolean, analyticsOn: boolean) => {\n    const c: ConsentState = {\n      essential: true,\n      preferences,\n      analytics: analyticsOn,\n      savedAt: new Date().toISOString(),\n    };\n    window.localStorage.setItem(KEY, JSON.stringify(c));\n    if (!preferences) window.localStorage.removeItem(\"vp-lang\");\n    setConsent(c);\n    setPanel(false);\n  };\n\n  if (!ready) return null;\n  const showBanner = consent === null && !panel;\n\n  return (\n    <>\n      {showBanner && (\n        <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">\n          <div className=\"mx-auto max-w-3xl rounded-[2px] bg-[var(--ink-deep)] p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35)]\">\n            <p className=\"klabel !text-[var(--accent-bright)]\">🍪 {t.prefsTitle}</p>\n            <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">\n              {t.banner}{\" \"}\n              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\n                {t.more}\n              </a>\n            </p>\n            <div className=\"mt-4 flex flex-wrap gap-2.5\">\n              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>\n                {t.acceptAll}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => persist(false, false)}\n              >\n                {t.essentialOnly}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => setPanel(true)}\n              >\n                {t.customize}\n              </button>\n            </div>\n          </div>\n        </div>\n      )}\n\n      {panel && (\n        <div\n          className=\"fixed inset-0 z-[var(--z-toast,950)] flex items-end justify-center bg-[rgba(16,18,16,0.55)] p-3 backdrop-blur-[2px] sm:items-center\"\n          onClick={() => setPanel(false)}\n        >\n          <div\n            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\n            onClick={(e) => e.stopPropagation()}\n            role=\"dialog\"\n            aria-modal=\"true\"\n            aria-label={t.prefsTitle}\n          >\n            <h2 className=\"vp-display text-[19px] font-bold uppercase tracking-[-0.01em]\">\n              {t.prefsTitle}\n            </h2>\n            <div className=\"mt-4 space-y-3\">\n              {[\n                { k: t.essential, d: t.essentialDesc, on: true, lock: true, set: undefined },\n                { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },\n                { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },\n              ].map((row) => (\n                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\n                  <div>\n                    <p className=\"vp-display text-[14px] font-bold\">\n                      {row.k}\n                      {row.lock && (\n                        <span className=\"vp-mono ml-2 text-[9px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n                          {t.always}\n                        </span>\n                      )}\n                    </p>\n                    <p className=\"mt-1 text-[12.5px] text-ink-2\">{row.d}</p>\n                  </div>\n                  <Toggle on={row.on} disabled={row.lock} onChange={row.set} />\n                </div>\n              ))}\n            </div>\n            <button className=\"btn btn-primary mt-5 w-full\" onClick={() => persist(prefs, analytics)}>\n              {t.save}\n            </button>\n          </div>\n        </div>\n      )}\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":173,"oldLines":7,"newStart":173,"newLines":7,"lines":["               </a>","             </p>","             <div className=\"mt-4 flex flex-wrap gap-2.5\">","-              <button className=\"btn border-lime bg-lime text-ink\" onClick={() => persist(true, true)}>","+              <button className=\"btn btn-accent\" onClick={() => persist(true, true)}>","                 {t.acceptAll}","               </button>","               <button"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAP9twK9dpqEquTC3Mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015DDr8xPh6qt6si3NpGEFPU","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","old_string":"            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"","new_string":"            className=\"w-full max-w-lg rounded-[2px] border border-[var(--line-strong)] bg-surface p-6 shadow-[0_12px_40px_rgba(20,24,20,0.3)]\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3268,"cache_read_input_tokens":208286,"cache_creation":{"ephemeral_5m_input_tokens":3268,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"cf8c70c5-4e36-47bb-93d4-2a6c457ba67d","request_id":"req_011CeQAP8QtMceGMcwUrXdSm"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015DDr8xPh6qt6si3NpGEFPU","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f49b23e7-8017-4fa6-b8c1-418758ea90ce","timestamp":"2026-08-25T21:17:56.654Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","oldString":"            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"","newString":"            className=\"w-full max-w-lg rounded-[2px] border border-[var(--line-strong)] bg-surface p-6 shadow-[0_12px_40px_rgba(20,24,20,0.3)]\"","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Gestionnaire de consentement aux témoins (Loi 25) :\n * bandeau au premier passage + panneau de préférences réouvrable partout\n * (événement window « vp-open-cookie-prefs » ou bouton du pied de page).\n * Choix conservé 12 mois dans localStorage (vp-cookie-consent).\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport interface ConsentState {\n  essential: true;\n  preferences: boolean;\n  analytics: boolean;\n  savedAt: string;\n}\n\nconst KEY = \"vp-cookie-consent\";\nconst MAX_AGE_DAYS = 365;\n\nexport function readConsent(): ConsentState | null {\n  if (typeof window === \"undefined\") return null;\n  try {\n    const raw = window.localStorage.getItem(KEY);\n    if (!raw) return null;\n    const c = JSON.parse(raw) as ConsentState;\n    const age = (Date.now() - new Date(c.savedAt).getTime()) / 86400000;\n    return age > MAX_AGE_DAYS ? null : c;\n  } catch {\n    return null;\n  }\n}\n\nexport function openCookiePrefs() {\n  window.dispatchEvent(new Event(\"vp-open-cookie-prefs\"));\n}\n\nconst TXT = {\n  fr: {\n    banner:\n      \"Vrai-Prix utilise un minimum de témoins : des essentiels (fonctionnement du site) et, si vous l'acceptez, un témoin de préférences pour retenir votre langue. Aucun témoin publicitaire, aucun pistage tiers.\",\n    acceptAll: \"Tout accepter\",\n    essentialOnly: \"Essentiels seulement\",\n    customize: \"Personnaliser\",\n    prefsTitle: \"Préférences de témoins\",\n    essential: \"Essentiels\",\n    essentialDesc: \"Nécessaires au fonctionnement (sécurité, session). Toujours actifs.\",\n    prefs: \"Préférences\",\n    prefsDesc: \"Retient votre langue d'affichage (FR/EN) sur cet appareil, 12 mois.\",\n    analytics: \"Mesure d'audience\",\n    analyticsDesc: \"Aucun outil de mesure n'est actuellement utilisé. Ce réglage s'appliquera si un jour un outil respectueux est ajouté.\",\n    always: \"Toujours actifs\",\n    save: \"Enregistrer mes choix\",\n    more: \"Politique de confidentialité\",\n  },\n  en: {\n    banner:\n      \"Vrai-Prix uses a minimum of cookies: essential ones (site operation) and, with your consent, a preference cookie to remember your language. No advertising cookies, no third-party tracking.\",\n    acceptAll: \"Accept all\",\n    essentialOnly: \"Essential only\",\n    customize: \"Customize\",\n    prefsTitle: \"Cookie preferences\",\n    essential: \"Essential\",\n    essentialDesc: \"Required for operation (security, session). Always on.\",\n    prefs: \"Preferences\",\n    prefsDesc: \"Remembers your display language (FR/EN) on this device for 12 months.\",\n    analytics: \"Analytics\",\n    analyticsDesc: \"No analytics tool is currently used. This setting will apply if a privacy-respecting tool is ever added.\",\n    always: \"Always on\",\n    save: \"Save my choices\",\n    more: \"Privacy policy\",\n  },\n};\n\nfunction Toggle({\n  on,\n  disabled,\n  onChange,\n}: {\n  on: boolean;\n  disabled?: boolean;\n  onChange?: (v: boolean) => void;\n}) {\n  return (\n    <button\n      type=\"button\"\n      role=\"switch\"\n      aria-checked={on}\n      disabled={disabled}\n      onClick={() => onChange?.(!on)}\n      className={`relative h-7 w-12 shrink-0 rounded-full border-[1.5px] border-ink transition-colors ${\n        on ? \"bg-lime\" : \"bg-surface-2\"\n      } ${disabled ? \"cursor-not-allowed opacity-70\" : \"cursor-pointer\"}`}\n    >\n      <span\n        className={`absolute top-[2.5px] h-[18px] w-[18px] rounded-full bg-ink transition-all ${\n          on ? \"left-[26px]\" : \"left-[3px]\"\n        }`}\n      />\n    </button>\n  );\n}\n\nexport default function CookieConsent() {\n  const { lang } = useLang();\n  const t = TXT[lang];\n  const [ready, setReady] = useState(false);\n  const [consent, setConsent] = useState<ConsentState | null>(null);\n  const [panel, setPanel] = useState(false);\n  const [prefs, setPrefs] = useState(true);\n  const [analytics, setAnalytics] = useState(false);\n\n  useEffect(() => {\n    const id = setTimeout(() => {\n      const c = readConsent();\n      setConsent(c);\n      if (c) {\n        setPrefs(c.preferences);\n        setAnalytics(c.analytics);\n      }\n      setReady(true);\n    }, 0);\n    const open = () => setPanel(true);\n    window.addEventListener(\"vp-open-cookie-prefs\", open);\n    return () => {\n      clearTimeout(id);\n      window.removeEventListener(\"vp-open-cookie-prefs\", open);\n    };\n  }, []);\n\n  // Panneau ouvert : verrou du scroll d'arrière-plan + fermeture à Escape (avec cleanup).\n  useEffect(() => {\n    if (!panel) return;\n    const prev = document.body.style.overflow;\n    document.body.style.overflow = \"hidden\";\n    const onKey = (e: KeyboardEvent) => {\n      if (e.key === \"Escape\") setPanel(false);\n    };\n    window.addEventListener(\"keydown\", onKey);\n    return () => {\n      document.body.style.overflow = prev;\n      window.removeEventListener(\"keydown\", onKey);\n    };\n  }, [panel]);\n\n  const persist = (preferences: boolean, analyticsOn: boolean) => {\n    const c: ConsentState = {\n      essential: true,\n      preferences,\n      analytics: analyticsOn,\n      savedAt: new Date().toISOString(),\n    };\n    window.localStorage.setItem(KEY, JSON.stringify(c));\n    if (!preferences) window.localStorage.removeItem(\"vp-lang\");\n    setConsent(c);\n    setPanel(false);\n  };\n\n  if (!ready) return null;\n  const showBanner = consent === null && !panel;\n\n  return (\n    <>\n      {showBanner && (\n        <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">\n          <div className=\"mx-auto max-w-3xl rounded-[2px] bg-[var(--ink-deep)] p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35)]\">\n            <p className=\"klabel !text-[var(--accent-bright)]\">🍪 {t.prefsTitle}</p>\n            <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">\n              {t.banner}{\" \"}\n              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\n                {t.more}\n              </a>\n            </p>\n            <div className=\"mt-4 flex flex-wrap gap-2.5\">\n              <button className=\"btn btn-accent\" onClick={() => persist(true, true)}>\n                {t.acceptAll}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => persist(false, false)}\n              >\n                {t.essentialOnly}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => setPanel(true)}\n              >\n                {t.customize}\n              </button>\n            </div>\n          </div>\n        </div>\n      )}\n\n      {panel && (\n        <div\n          className=\"fixed inset-0 z-[var(--z-toast,950)] flex items-end justify-center bg-[rgba(16,18,16,0.55)] p-3 backdrop-blur-[2px] sm:items-center\"\n          onClick={() => setPanel(false)}\n        >\n          <div\n            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"\n            onClick={(e) => e.stopPropagation()}\n            role=\"dialog\"\n            aria-modal=\"true\"\n            aria-label={t.prefsTitle}\n          >\n            <h2 className=\"vp-display text-[19px] font-bold uppercase tracking-[-0.01em]\">\n              {t.prefsTitle}\n            </h2>\n            <div className=\"mt-4 space-y-3\">\n              {[\n                { k: t.essential, d: t.essentialDesc, on: true, lock: true, set: undefined },\n                { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },\n                { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },\n              ].map((row) => (\n                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\n                  <div>\n                    <p className=\"vp-display text-[14px] font-bold\">\n                      {row.k}\n                      {row.lock && (\n                        <span className=\"vp-mono ml-2 text-[9px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n                          {t.always}\n                        </span>\n                      )}\n                    </p>\n                    <p className=\"mt-1 text-[12.5px] text-ink-2\">{row.d}</p>\n                  </div>\n                  <Toggle on={row.on} disabled={row.lock} onChange={row.set} />\n                </div>\n              ))}\n            </div>\n            <button className=\"btn btn-primary mt-5 w-full\" onClick={() => persist(prefs, analytics)}>\n              {t.save}\n            </button>\n          </div>\n        </div>\n      )}\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":199,"oldLines":7,"newStart":199,"newLines":7,"lines":["           onClick={() => setPanel(false)}","         >","           <div","-            className=\"w-full max-w-lg rounded-[10px] border-[1.5px] border-ink bg-surface p-6 shadow-[8px_8px_0_rgba(20,24,20,0.3)]\"","+            className=\"w-full max-w-lg rounded-[2px] border border-[var(--line-strong)] bg-surface p-6 shadow-[0_12px_40px_rgba(20,24,20,0.3)]\"","             onClick={(e) => e.stopPropagation()}","             role=\"dialog\"","             aria-modal=\"true\""]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAP9twK9dpqEquTC3Mk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YMigxQP1ad6U1FyMVPTZAU","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","old_string":"                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">","new_string":"                <div key={row.k} className=\"flex items-start justify-between gap-4 border-t border-[var(--line)] p-4 pl-0\">"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3268,"cache_read_input_tokens":208286,"cache_creation":{"ephemeral_5m_input_tokens":3268,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0dfe741b-91e4-40de-966e-84ae65b7a902","request_id":"req_011CeQAP8QtMceGMcwUrXdSm"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YMigxQP1ad6U1FyMVPTZAU","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b710e445-914b-431a-b4e3-a3a004761fc3","timestamp":"2026-08-25T21:17:58.189Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/CookieConsent.tsx","oldString":"                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">","newString":"                <div key={row.k} className=\"flex items-start justify-between gap-4 border-t border-[var(--line)] p-4 pl-0\">","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Gestionnaire de consentement aux témoins (Loi 25) :\n * bandeau au premier passage + panneau de préférences réouvrable partout\n * (événement window « vp-open-cookie-prefs » ou bouton du pied de page).\n * Choix conservé 12 mois dans localStorage (vp-cookie-consent).\n */\n\"use client\";\nimport { useEffect, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\nexport interface ConsentState {\n  essential: true;\n  preferences: boolean;\n  analytics: boolean;\n  savedAt: string;\n}\n\nconst KEY = \"vp-cookie-consent\";\nconst MAX_AGE_DAYS = 365;\n\nexport function readConsent(): ConsentState | null {\n  if (typeof window === \"undefined\") return null;\n  try {\n    const raw = window.localStorage.getItem(KEY);\n    if (!raw) return null;\n    const c = JSON.parse(raw) as ConsentState;\n    const age = (Date.now() - new Date(c.savedAt).getTime()) / 86400000;\n    return age > MAX_AGE_DAYS ? null : c;\n  } catch {\n    return null;\n  }\n}\n\nexport function openCookiePrefs() {\n  window.dispatchEvent(new Event(\"vp-open-cookie-prefs\"));\n}\n\nconst TXT = {\n  fr: {\n    banner:\n      \"Vrai-Prix utilise un minimum de témoins : des essentiels (fonctionnement du site) et, si vous l'acceptez, un témoin de préférences pour retenir votre langue. Aucun témoin publicitaire, aucun pistage tiers.\",\n    acceptAll: \"Tout accepter\",\n    essentialOnly: \"Essentiels seulement\",\n    customize: \"Personnaliser\",\n    prefsTitle: \"Préférences de témoins\",\n    essential: \"Essentiels\",\n    essentialDesc: \"Nécessaires au fonctionnement (sécurité, session). Toujours actifs.\",\n    prefs: \"Préférences\",\n    prefsDesc: \"Retient votre langue d'affichage (FR/EN) sur cet appareil, 12 mois.\",\n    analytics: \"Mesure d'audience\",\n    analyticsDesc: \"Aucun outil de mesure n'est actuellement utilisé. Ce réglage s'appliquera si un jour un outil respectueux est ajouté.\",\n    always: \"Toujours actifs\",\n    save: \"Enregistrer mes choix\",\n    more: \"Politique de confidentialité\",\n  },\n  en: {\n    banner:\n      \"Vrai-Prix uses a minimum of cookies: essential ones (site operation) and, with your consent, a preference cookie to remember your language. No advertising cookies, no third-party tracking.\",\n    acceptAll: \"Accept all\",\n    essentialOnly: \"Essential only\",\n    customize: \"Customize\",\n    prefsTitle: \"Cookie preferences\",\n    essential: \"Essential\",\n    essentialDesc: \"Required for operation (security, session). Always on.\",\n    prefs: \"Preferences\",\n    prefsDesc: \"Remembers your display language (FR/EN) on this device for 12 months.\",\n    analytics: \"Analytics\",\n    analyticsDesc: \"No analytics tool is currently used. This setting will apply if a privacy-respecting tool is ever added.\",\n    always: \"Always on\",\n    save: \"Save my choices\",\n    more: \"Privacy policy\",\n  },\n};\n\nfunction Toggle({\n  on,\n  disabled,\n  onChange,\n}: {\n  on: boolean;\n  disabled?: boolean;\n  onChange?: (v: boolean) => void;\n}) {\n  return (\n    <button\n      type=\"button\"\n      role=\"switch\"\n      aria-checked={on}\n      disabled={disabled}\n      onClick={() => onChange?.(!on)}\n      className={`relative h-7 w-12 shrink-0 rounded-full border-[1.5px] border-ink transition-colors ${\n        on ? \"bg-lime\" : \"bg-surface-2\"\n      } ${disabled ? \"cursor-not-allowed opacity-70\" : \"cursor-pointer\"}`}\n    >\n      <span\n        className={`absolute top-[2.5px] h-[18px] w-[18px] rounded-full bg-ink transition-all ${\n          on ? \"left-[26px]\" : \"left-[3px]\"\n        }`}\n      />\n    </button>\n  );\n}\n\nexport default function CookieConsent() {\n  const { lang } = useLang();\n  const t = TXT[lang];\n  const [ready, setReady] = useState(false);\n  const [consent, setConsent] = useState<ConsentState | null>(null);\n  const [panel, setPanel] = useState(false);\n  const [prefs, setPrefs] = useState(true);\n  const [analytics, setAnalytics] = useState(false);\n\n  useEffect(() => {\n    const id = setTimeout(() => {\n      const c = readConsent();\n      setConsent(c);\n      if (c) {\n        setPrefs(c.preferences);\n        setAnalytics(c.analytics);\n      }\n      setReady(true);\n    }, 0);\n    const open = () => setPanel(true);\n    window.addEventListener(\"vp-open-cookie-prefs\", open);\n    return () => {\n      clearTimeout(id);\n      window.removeEventListener(\"vp-open-cookie-prefs\", open);\n    };\n  }, []);\n\n  // Panneau ouvert : verrou du scroll d'arrière-plan + fermeture à Escape (avec cleanup).\n  useEffect(() => {\n    if (!panel) return;\n    const prev = document.body.style.overflow;\n    document.body.style.overflow = \"hidden\";\n    const onKey = (e: KeyboardEvent) => {\n      if (e.key === \"Escape\") setPanel(false);\n    };\n    window.addEventListener(\"keydown\", onKey);\n    return () => {\n      document.body.style.overflow = prev;\n      window.removeEventListener(\"keydown\", onKey);\n    };\n  }, [panel]);\n\n  const persist = (preferences: boolean, analyticsOn: boolean) => {\n    const c: ConsentState = {\n      essential: true,\n      preferences,\n      analytics: analyticsOn,\n      savedAt: new Date().toISOString(),\n    };\n    window.localStorage.setItem(KEY, JSON.stringify(c));\n    if (!preferences) window.localStorage.removeItem(\"vp-lang\");\n    setConsent(c);\n    setPanel(false);\n  };\n\n  if (!ready) return null;\n  const showBanner = consent === null && !panel;\n\n  return (\n    <>\n      {showBanner && (\n        <div className=\"fixed inset-x-0 bottom-0 z-[var(--z-toast,950)] p-3 pb-[calc(12px+env(safe-area-inset-bottom))] sm:p-5 sm:pb-[calc(20px+env(safe-area-inset-bottom))]\">\n          <div className=\"mx-auto max-w-3xl rounded-[2px] bg-[var(--ink-deep)] p-5 text-paper shadow-[0_-8px_32px_rgba(16,18,16,0.35)]\">\n            <p className=\"klabel !text-[var(--accent-bright)]\">🍪 {t.prefsTitle}</p>\n            <p className=\"mt-2 text-[13.5px] leading-relaxed text-[rgba(245,243,238,0.85)]\">\n              {t.banner}{\" \"}\n              <a href=\"/confidentialite\" className=\"border-b border-lime text-lime\">\n                {t.more}\n              </a>\n            </p>\n            <div className=\"mt-4 flex flex-wrap gap-2.5\">\n              <button className=\"btn btn-accent\" onClick={() => persist(true, true)}>\n                {t.acceptAll}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => persist(false, false)}\n              >\n                {t.essentialOnly}\n              </button>\n              <button\n                className=\"btn border-[rgba(245,243,238,0.5)] bg-transparent text-paper hover:bg-[rgba(245,243,238,0.12)]\"\n                onClick={() => setPanel(true)}\n              >\n                {t.customize}\n              </button>\n            </div>\n          </div>\n        </div>\n      )}\n\n      {panel && (\n        <div\n          className=\"fixed inset-0 z-[var(--z-toast,950)] flex items-end justify-center bg-[rgba(16,18,16,0.55)] p-3 backdrop-blur-[2px] sm:items-center\"\n          onClick={() => setPanel(false)}\n        >\n          <div\n            className=\"w-full max-w-lg rounded-[2px] border border-[var(--line-strong)] bg-surface p-6 shadow-[0_12px_40px_rgba(20,24,20,0.3)]\"\n            onClick={(e) => e.stopPropagation()}\n            role=\"dialog\"\n            aria-modal=\"true\"\n            aria-label={t.prefsTitle}\n          >\n            <h2 className=\"vp-display text-[19px] font-bold uppercase tracking-[-0.01em]\">\n              {t.prefsTitle}\n            </h2>\n            <div className=\"mt-4 space-y-3\">\n              {[\n                { k: t.essential, d: t.essentialDesc, on: true, lock: true, set: undefined },\n                { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },\n                { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },\n              ].map((row) => (\n                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">\n                  <div>\n                    <p className=\"vp-display text-[14px] font-bold\">\n                      {row.k}\n                      {row.lock && (\n                        <span className=\"vp-mono ml-2 text-[9px] font-bold uppercase tracking-[0.08em] text-green-deep\">\n                          {t.always}\n                        </span>\n                      )}\n                    </p>\n                    <p className=\"mt-1 text-[12.5px] text-ink-2\">{row.d}</p>\n                  </div>\n                  <Toggle on={row.on} disabled={row.lock} onChange={row.set} />\n                </div>\n              ))}\n            </div>\n            <button className=\"btn btn-primary mt-5 w-full\" onClick={() => persist(prefs, analytics)}>\n              {t.save}\n            </button>\n          </div>\n        </div>\n      )}\n    </>\n  );\n}\n","structuredPatch":[{"oldStart":214,"oldLines":7,"newStart":214,"newLines":7,"lines":["                 { k: t.prefs, d: t.prefsDesc, on: prefs, lock: false, set: setPrefs },","                 { k: t.analytics, d: t.analyticsDesc, on: analytics, lock: false, set: setAnalytics },","               ].map((row) => (","-                <div key={row.k} className=\"flex items-start justify-between gap-4 rounded-lg border-[1.5px] border-[rgba(20,24,20,0.14)] bg-surface-2 p-4\">","+                <div key={row.k} className=\"flex items-start justify-between gap-4 border-t border-[var(--line)] p-4 pl-0\">","                   <div>","                     <p className=\"vp-display text-[14px] font-bold\">","                       {row.k}"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0fef6ee9-e793-4d3b-b6e6-e6330476aeb8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAQajhW3JmFyMU5dJ8p","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LSUDNkLxFDxHRRthWr4imh","name":"Bash","input":{"command":"perl -pi -e 's/className=\"stat-chip hover:bg-lime\"/className=\"stat-chip transition-colors hover:text-accent-deep\"/g' \"src/app/municipalite/[slug]/[type]/page.tsx\" \"src/app/municipalite/[slug]/page.tsx\" && perl -pi -e 's/className=\"stat-chip hover:bg-lime-soft\"/className=\"stat-chip transition-colors hover:text-accent-deep\"/g' src/app/compte/CompteClient.tsx && sed -n 315,340p src/components/KaChat.tsx && sed -n 60,68p src/components/StatsDashboard.tsx","description":"Fix stat-chip hovers and view KaChat/StatsDashboard spots"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2463,"cache_read_input_tokens":211554,"cache_creation":{"ephemeral_5m_input_tokens":2463,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"535bd95a-f3df-469d-ada1-d43e83865b99","request_id":"req_011CeQAQY9RjLJQnGptCMWTZ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LSUDNkLxFDxHRRthWr4imh","type":"tool_result","content":"        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n      >\n        {messages.length === 0 && (\n          <div className=\"my-auto text-center\">\n            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>\n            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n            </p>\n            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n              {fr\n                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n            </p>\n            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n              {suggestions.map((s) => (\n                <button\n                  key={s}\n                  onClick={() => send(s)}\n                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\n                >\n                  {s}\n                </button>\n              ))}\n            </div>\n\n  return (\n    <div>\n      {/* ---- fraîcheur + rapports PDF (5 modes) ---- */}\n      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\n        <div>\n          <p className=\"vp-mono text-[10px] font-bold uppercase tracking-[0.08em] text-ink-3\">\n            {fr\n              ? `${data.period.label} · corpus de ventes 2021-2026 · périodes non applicables (instantané)`","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"673c7859-961c-4e79-8c69-caef8aab0f1b","timestamp":"2026-08-25T21:18:04.382Z","tool_use_result":{"stdout":"        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n      >\n        {messages.length === 0 && (\n          <div className=\"my-auto text-center\">\n            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>\n            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n            </p>\n            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n              {fr\n                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n            </p>\n            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n              {suggestions.map((s) => (\n                <button\n                  key={s}\n                  onClick={() => send(s)}\n                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\n                >\n                  {s}\n                </button>\n              ))}\n            </div>\n\n  return (\n    <div>\n      {/* ---- fraîcheur + rapports PDF (5 modes) ---- */}\n      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\n        <div>\n          <p className=\"vp-mono text-[10px] font-bold uppercase tracking-[0.08em] text-ink-3\">\n            {fr\n              ? `${data.period.label} · corpus de ventes 2021-2026 · périodes non applicables (instantané)`","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8129e25c-5eb5-434f-ba11-97810fe5732e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAR2t4Vjzm1RsHhKMyT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vs57nZT8K9b7Ff6SDbRrUr","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","old_string":"            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>","new_string":"            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-[var(--accent-bright)] sm:text-[26px]\">Ka</span>\n            </div>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1228,"cache_read_input_tokens":214017,"cache_creation":{"ephemeral_5m_input_tokens":1228,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e9ef1792-3bd8-4630-a13e-5378f616c402","request_id":"req_011CeQAQzVCf94sGXadA6xB7"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>File has not been read yet. Read it first before writing to it.</tool_use_error>","is_error":true,"tool_use_id":"toolu_01Vs57nZT8K9b7Ff6SDbRrUr"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"365988f9-b067-420e-83a9-deff381080dd","timestamp":"2026-08-25T21:18:10.865Z","tool_use_result":"Error: File has not been read yet. Read it first before writing to it."}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAR2t4Vjzm1RsHhKMyT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N9yNRa24tBygbQ1JKM9k2t","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","old_string":"                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"","new_string":"                  className=\"rounded-[2px] border border-[var(--line-strong)] bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-colors hover:border-accent hover:text-accent-deep\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1228,"cache_read_input_tokens":214017,"cache_creation":{"ephemeral_5m_input_tokens":1228,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"54429d0a-21c4-4f4b-ad80-8b2dd51881fc","request_id":"req_011CeQAQzVCf94sGXadA6xB7"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>File has not been read yet. Read it first before writing to it.</tool_use_error>","is_error":true,"tool_use_id":"toolu_01N9yNRa24tBygbQ1JKM9k2t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9283fa8f-8706-4f0d-88dc-156e23118013","timestamp":"2026-08-25T21:18:13.687Z","tool_use_result":"Error: File has not been read yet. Read it first before writing to it."}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAR2t4Vjzm1RsHhKMyT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Sx4xTvBc6N8WtkSskLJJx6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx","old_string":"      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">","new_string":"      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 border-y border-[var(--line)] px-1 py-3\">"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1228,"cache_read_input_tokens":214017,"cache_creation":{"ephemeral_5m_input_tokens":1228,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2183dbab-44c7-4199-9bd2-39ddbfc6ad78","request_id":"req_011CeQAQzVCf94sGXadA6xB7"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"<tool_use_error>File has not been read yet. Read it first before writing to it.</tool_use_error>","is_error":true,"tool_use_id":"toolu_01Sx4xTvBc6N8WtkSskLJJx6"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"aa06c6de-3fe0-4bbc-8142-055b046a5080","timestamp":"2026-08-25T21:18:15.516Z","tool_use_result":"Error: File has not been read yet. Read it first before writing to it."}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6a7f8b1b-5838-41a6-a790-87facd5e595e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"39578da9-5bc8-4bb7-a6d7-e3d94afea2d4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":91,"estimated_tokens_delta":41,"uuid":"bbfd5daf-c68a-4c3e-a56d-ac3a5e0d371e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQARqnbTgPXNVBPfJx5S","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS5AIKpwEIERgCKkDg1WbuuYfYhBDs716euGzo48WaBzToGyY+SJRFmY4NOeDNFRUzM6OdglpsTNTwIHohArXsAc1vBftVaqML0VUWMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGajbjUBrABAhIMpQOtywltku8g5YtQGgwU9RAQJXbh/U+zA0siMMv+TPJ1caC0PlOw6Nn6masu4CP6PyA8RhYHjGtS4EceuHGVMjm4o/cK1vrFDBFiJypqaCp7iC5mbprMg86l1Z6VQt19N6tvhS4JgghoLabQ/d5ZSQD8NqxjFgitRJNb4losJ+18bKq/Jd42fmx10z3EV5uWhNoxoRHF9tTI9SI5H9Kh3Tszf6Z9ucdGBwO+ziI5pmrtKFvj1VM8/BgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":1183,"cache_read_input_tokens":215245,"cache_creation":{"ephemeral_5m_input_tokens":1183,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"52e5c764-02eb-4fb2-afc4-809ab00d9e1d","request_id":"req_011CeQARp8PDghDRPejzRXsq"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQARqnbTgPXNVBPfJx5S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012zbYkmA8ChrtB19937CfNM","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","offset":300,"limit":60},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":1183,"cache_read_input_tokens":215245,"cache_creation":{"ephemeral_5m_input_tokens":1183,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8c09964f-f533-4cf1-8ce1-ec668048ecce","request_id":"req_011CeQARp8PDghDRPejzRXsq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012zbYkmA8ChrtB19937CfNM","type":"tool_result","content":"300\t    } finally {\n301\t      setActiveTool(null);\n302\t      setBusy(false);\n303\t    }\n304\t  }\n305\t\n306\t  const toolLabel = (name: string) =>\n307\t    TOOL_LABELS[name]?.[fr ? \"fr\" : \"en\"] ?? name.replace(/_/g, \" \");\n308\t\n309\t  return (\n310\t    <div className=\"mx-auto flex w-full max-w-[860px] flex-col\">\n311\t      {/* fil de conversation — défilement interne, hauteur stable */}\n312\t      <div\n313\t        ref={feedRef}\n314\t        onScroll={onFeedScroll}\n315\t        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n316\t      >\n317\t        {messages.length === 0 && (\n318\t          <div className=\"my-auto text-center\">\n319\t            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n320\t              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n321\t            </div>\n322\t            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n323\t              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n324\t            </p>\n325\t            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n326\t              {fr\n327\t                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n328\t                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n329\t            </p>\n330\t            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n331\t              {suggestions.map((s) => (\n332\t                <button\n333\t                  key={s}\n334\t                  onClick={() => send(s)}\n335\t                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\n336\t                >\n337\t                  {s}\n338\t                </button>\n339\t              ))}\n340\t            </div>\n341\t          </div>\n342\t        )}\n343\t\n344\t        {messages.map((m, i) => (\n345\t          <div key={i} className={m.role === \"user\" ? \"flex justify-end\" : \"flex justify-start\"}>\n346\t            {m.role === \"user\" ? (\n347\t              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\n348\t                {m.content}\n349\t              </div>\n350\t            ) : (\n351\t              <div className=\"flex w-full max-w-full gap-2 sm:max-w-[94%] sm:gap-3\">\n352\t                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n353\t                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n354\t                </div>\n355\t                <div className=\"min-w-0 flex-1\">\n356\t                  {m.tools && m.tools.length > 0 && (\n357\t                    <div className=\"mb-1.5 flex flex-wrap gap-1.5\">\n358\t                      {m.tools.map((t) => (\n359\t                        <span"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6ac3d9ef-7e53-49a8-b889-e402ba36f8ed","timestamp":"2026-08-25T21:18:20.932Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","content":"    } finally {\n      setActiveTool(null);\n      setBusy(false);\n    }\n  }\n\n  const toolLabel = (name: string) =>\n    TOOL_LABELS[name]?.[fr ? \"fr\" : \"en\"] ?? name.replace(/_/g, \" \");\n\n  return (\n    <div className=\"mx-auto flex w-full max-w-[860px] flex-col\">\n      {/* fil de conversation — défilement interne, hauteur stable */}\n      <div\n        ref={feedRef}\n        onScroll={onFeedScroll}\n        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n      >\n        {messages.length === 0 && (\n          <div className=\"my-auto text-center\">\n            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>\n            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n            </p>\n            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n              {fr\n                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n            </p>\n            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n              {suggestions.map((s) => (\n                <button\n                  key={s}\n                  onClick={() => send(s)}\n                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\n                >\n                  {s}\n                </button>\n              ))}\n            </div>\n          </div>\n        )}\n\n        {messages.map((m, i) => (\n          <div key={i} className={m.role === \"user\" ? \"flex justify-end\" : \"flex justify-start\"}>\n            {m.role === \"user\" ? (\n              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\n                {m.content}\n              </div>\n            ) : (\n              <div className=\"flex w-full max-w-full gap-2 sm:max-w-[94%] sm:gap-3\">\n                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n                </div>\n                <div className=\"min-w-0 flex-1\">\n                  {m.tools && m.tools.length > 0 && (\n                    <div className=\"mb-1.5 flex flex-wrap gap-1.5\">\n                      {m.tools.map((t) => (\n                        <span","numLines":60,"startLine":300,"totalLines":428}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQARqnbTgPXNVBPfJx5S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YLfhgyh7cNW8YSjms2YZnQ","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx","offset":55,"limit":20},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":1183,"cache_read_input_tokens":215245,"cache_creation":{"ephemeral_5m_input_tokens":1183,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"66296c8a-f6c1-4078-9d73-4a9d2813e388","request_id":"req_011CeQARp8PDghDRPejzRXsq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YLfhgyh7cNW8YSjms2YZnQ","type":"tool_result","content":"55\t      /* on garde les données courantes */\n56\t    }\n57\t  }, []);\n58\t\n59\t  const keySeries = new Set([\"valeur_millesime\", \"ventes_mois\", \"prix_median_mois\"]);\n60\t\n61\t  return (\n62\t    <div>\n63\t      {/* ---- fraîcheur + rapports PDF (5 modes) ---- */}\n64\t      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\n65\t        <div>\n66\t          <p className=\"vp-mono text-[10px] font-bold uppercase tracking-[0.08em] text-ink-3\">\n67\t            {fr\n68\t              ? `${data.period.label} · corpus de ventes 2021-2026 · périodes non applicables (instantané)`\n69\t              : `${data.period.label} · 2021-2026 sales corpus · periods not applicable (snapshot)`}\n70\t          </p>\n71\t          <div className=\"mt-1.5\">\n72\t            <Fraicheur updated={data.updated} onRefresh={refresh} />\n73\t          </div>\n74\t        </div>"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3e40c6e1-b08e-4925-9626-d594b5583803","timestamp":"2026-08-25T21:18:21.162Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx","content":"      /* on garde les données courantes */\n    }\n  }, []);\n\n  const keySeries = new Set([\"valeur_millesime\", \"ventes_mois\", \"prix_median_mois\"]);\n\n  return (\n    <div>\n      {/* ---- fraîcheur + rapports PDF (5 modes) ---- */}\n      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\n        <div>\n          <p className=\"vp-mono text-[10px] font-bold uppercase tracking-[0.08em] text-ink-3\">\n            {fr\n              ? `${data.period.label} · corpus de ventes 2021-2026 · périodes non applicables (instantané)`\n              : `${data.period.label} · 2021-2026 sales corpus · periods not applicable (snapshot)`}\n          </p>\n          <div className=\"mt-1.5\">\n            <Fraicheur updated={data.updated} onRefresh={refresh} />\n          </div>\n        </div>","numLines":20,"startLine":55,"totalLines":181}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c44c2d09-7923-49e1-8288-58c2825b178f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQASFydzRQNmwcFom3fY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fr4rMenu18fgZkVfWG7Ss8","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","old_string":"            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>","new_string":"            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-[var(--accent-bright)] sm:text-[26px]\">Ka</span>\n            </div>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2565,"cache_read_input_tokens":216428,"cache_creation":{"ephemeral_5m_input_tokens":2565,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"37e89e7d-6354-4e8d-834a-bba0cdae6352","request_id":"req_011CeQASELRBPNmykbGvnk6N"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fr4rMenu18fgZkVfWG7Ss8","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b31bf403-6d1e-423e-8b45-a4bd055b3117","timestamp":"2026-08-25T21:18:28.351Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","oldString":"            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>","newString":"            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-[var(--accent-bright)] sm:text-[26px]\">Ka</span>\n            </div>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Ka — interface de conversation en streaming avec l'agent IA.\n * Lit le flux SSE de /api/ka : deltas de texte, activité d'outils, fin.\n * Le fil a son PROPRE défilement (jamais la page) et l'auto-scroll ne suit\n * que si l'utilisateur est déjà au bas du fil — zéro sursaut pendant le stream.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\ninterface Msg {\n  role: \"user\" | \"assistant\";\n  content: string;\n  tools?: string[];\n}\n\nconst TOOL_LABELS: Record<string, { fr: string; en: string }> = {\n  chercher_propriete: { fr: \"Recherche dans le registre\", en: \"Searching the registry\" },\n  evaluer_propriete: { fr: \"Évaluation en cours\", en: \"Running the valuation\" },\n  comparables_detailles: { fr: \"Analyse des comparables\", en: \"Analyzing comparables\" },\n  indice_marche: { fr: \"Lecture de l'indice de marché\", en: \"Reading the market index\" },\n  stats_municipalite: { fr: \"Statistiques municipales\", en: \"Municipal statistics\" },\n  stats_provinciales: { fr: \"Statistiques provinciales\", en: \"Provincial statistics\" },\n  evaluer_parc: { fr: \"Évaluation du parc\", en: \"Evaluating the portfolio\" },\n  comparer_proprietes: { fr: \"Comparaison des propriétés\", en: \"Comparing properties\" },\n  estimation_manuelle: { fr: \"Estimation par caractéristiques\", en: \"Estimating from specs\" },\n  chercher_proprietes_secteur: { fr: \"Balayage du secteur\", en: \"Scanning the area\" },\n  liens_rapports: { fr: \"Préparation des rapports\", en: \"Preparing reports\" },\n};\n\n/* ------------------------------------------------------------ markdown */\n\nfunction inline(s: string, key: string): React.ReactNode[] {\n  const parts: React.ReactNode[] = [];\n  const rx = /\\[([^\\]]+)\\]\\((https?:\\/\\/[^\\s)]+)\\)|\\*\\*([^*]+)\\*\\*|\\*([^*]+)\\*/g;\n  let last = 0;\n  let m: RegExpExecArray | null;\n  let i = 0;\n  while ((m = rx.exec(s))) {\n    if (m.index > last) parts.push(s.slice(last, m.index));\n    if (m[1] && m[2])\n      parts.push(\n        <a\n          key={`${key}-${i++}`}\n          href={m[2]}\n          target=\"_blank\"\n          rel=\"noopener noreferrer\"\n          className=\"font-bold underline decoration-[var(--lime)] decoration-2 underline-offset-2\"\n        >\n          {m[1]}\n        </a>\n      );\n    else if (m[3]) parts.push(<strong key={`${key}-${i++}`}>{m[3]}</strong>);\n    else if (m[4]) parts.push(<em key={`${key}-${i++}`}>{m[4]}</em>);\n    last = m.index + m[0].length;\n  }\n  if (last < s.length) parts.push(s.slice(last));\n  return parts;\n}\n\n/** Rendu markdown minimal et sûr : gras, italique, listes, liens, TABLEAUX, titres. */\nfunction renderMd(text: string): React.ReactNode[] {\n  const blocks: React.ReactNode[] = [];\n  const lines = text.split(\"\\n\");\n  let list: string[] = [];\n  let table: string[][] = [];\n  let k = 0;\n\n  const flushList = () => {\n    if (!list.length) return;\n    blocks.push(\n      <ul key={`ul-${k++}`} className=\"my-1.5 space-y-1 pl-1\">\n        {list.map((li, j) => (\n          <li key={j} className=\"flex gap-2\">\n            <span className=\"mt-[7px] h-[6px] w-[6px] shrink-0 rounded-full bg-[var(--lime)]\" />\n            <span className=\"min-w-0\">{inline(li, `li-${k}-${j}`)}</span>\n          </li>\n        ))}\n      </ul>\n    );\n    list = [];\n  };\n\n  const flushTable = () => {\n    if (!table.length) return;\n    const [head, ...rows] = table;\n    blocks.push(\n      <div\n        key={`tw-${k++}`}\n        className=\"my-2 max-w-full overflow-x-auto rounded-lg border-[1.5px] border-[var(--line)] bg-surface\"\n      >\n        <table className=\"w-full border-collapse text-[12px]\">\n          <thead>\n            <tr>\n              {head.map((c, j) => (\n                <th\n                  key={j}\n                  className=\"vp-mono whitespace-nowrap border-b-[1.5px] border-[var(--line)] bg-surface-2 px-2.5 py-1.5 text-left text-[9px] font-bold uppercase tracking-[0.08em] text-ink-3\"\n                >\n                  {inline(c, `th-${k}-${j}`)}\n                </th>\n              ))}\n            </tr>\n          </thead>\n          <tbody>\n            {rows.map((row, ri) => (\n              <tr key={ri}>\n                {row.map((c, j) => (\n                  <td\n                    key={j}\n                    className={`whitespace-nowrap px-2.5 py-1.5 align-top ${\n                      ri < rows.length - 1 ? \"border-b border-[var(--line)]\" : \"\"\n                    }`}\n                  >\n                    {inline(c, `td-${k}-${ri}-${j}`)}\n                  </td>\n                ))}\n              </tr>\n            ))}\n          </tbody>\n        </table>\n      </div>\n    );\n    table = [];\n  };\n\n  for (const line of lines) {\n    const t = line.trim();\n    // ligne de tableau |a|b|  (ignore la ligne séparatrice |---|---|)\n    if (t.startsWith(\"|\") && t.endsWith(\"|\") && t.length > 2) {\n      const cells = t\n        .slice(1, -1)\n        .split(\"|\")\n        .map((c) => c.trim());\n      if (!cells.every((c) => /^:?-{2,}:?$/.test(c))) {\n        flushList();\n        table.push(cells);\n      }\n      continue;\n    }\n    flushTable();\n    if (/^[-•]\\s+/.test(t)) {\n      list.push(t.replace(/^[-•]\\s+/, \"\"));\n      continue;\n    }\n    flushList();\n    if (t === \"\" || t === \"---\") continue;\n    if (t.startsWith(\"[réf:\")) continue; // réf machine pour la continuité — jamais affichée\n    if (/^#{1,4}\\s+/.test(t)) {\n      blocks.push(\n        <p key={`h-${k++}`} className=\"vp-display mt-2 text-[15px] font-bold\">\n          {inline(t.replace(/^#{1,4}\\s+/, \"\"), `h-${k}`)}\n        </p>\n      );\n    } else {\n      blocks.push(\n        <p key={`p-${k++}`} className=\"my-1.5\">\n          {inline(t, `p-${k}`)}\n        </p>\n      );\n    }\n  }\n  flushList();\n  flushTable();\n  return blocks;\n}\n\n/* ------------------------------------------------------------ composant */\n\nexport default function KaChat() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const [messages, setMessages] = useState<Msg[]>([]);\n  const [input, setInput] = useState(\"\");\n  const [busy, setBusy] = useState(false);\n  const [activeTool, setActiveTool] = useState<string | null>(null);\n  const feedRef = useRef<HTMLDivElement>(null);\n  const stickBottom = useRef(true);\n\n  // auto-scroll DU FIL seulement (jamais la page), et seulement si déjà en bas\n  useEffect(() => {\n    const el = feedRef.current;\n    if (el && stickBottom.current) el.scrollTop = el.scrollHeight;\n  }, [messages, activeTool]);\n\n  const onFeedScroll = () => {\n    const el = feedRef.current;\n    if (!el) return;\n    stickBottom.current = el.scrollHeight - el.scrollTop - el.clientHeight < 140;\n  };\n\n  const suggestions = fr\n    ? [\n        \"Combien vaut le 861 route Elgin à Saint-Pamphile ?\",\n        \"Le marché des condos monte-t-il au Québec ?\",\n        \"Trouve-moi une maison à Lévis sous 450 000 $\",\n        \"Que vaut tout l'immobilier du Québec ?\",\n      ]\n    : [\n        \"How much is 861 route Elgin in Saint-Pamphile worth?\",\n        \"Is the Québec condo market going up?\",\n        \"Find me a house in Lévis under $450,000\",\n        \"What is all Québec real estate worth?\",\n      ];\n\n  async function send(text: string) {\n    const content = text.trim();\n    if (!content || busy) return;\n    setInput(\"\");\n    setBusy(true);\n    setActiveTool(null);\n    stickBottom.current = true;\n\n    const history = [...messages, { role: \"user\" as const, content }];\n    setMessages([...history, { role: \"assistant\", content: \"\", tools: [] }]);\n\n    try {\n      const res = await fetch(\"/api/ka\", {\n        method: \"POST\",\n        headers: { \"Content-Type\": \"application/json\" },\n        body: JSON.stringify({\n          messages: history.map(({ role, content }) => ({ role, content })),\n        }),\n      });\n      if (!res.ok || !res.body) throw new Error(String(res.status));\n\n      const reader = res.body.getReader();\n      const decoder = new TextDecoder();\n      let buffer = \"\";\n\n      const patch = (fn: (m: Msg) => Msg) =>\n        setMessages((prev) => {\n          const next = [...prev];\n          next[next.length - 1] = fn(next[next.length - 1]);\n          return next;\n        });\n\n      for (;;) {\n        const { done, value } = await reader.read();\n        if (done) break;\n        buffer += decoder.decode(value, { stream: true });\n        const events = buffer.split(\"\\n\\n\");\n        buffer = events.pop() ?? \"\";\n        for (const ev of events) {\n          const line = ev.split(\"\\n\").find((l) => l.startsWith(\"data: \"));\n          if (!line) continue;\n          let data: {\n            type: string;\n            text?: string;\n            name?: string;\n            message?: string;\n            refs?: { id: string; adresse: string; pdf?: string; pdf_pro?: string }[];\n          };\n          try {\n            data = JSON.parse(line.slice(6));\n          } catch {\n            continue;\n          }\n          if (data.type === \"text\" && data.text) {\n            setActiveTool(null);\n            patch((m) => ({ ...m, content: m.content + data.text }));\n          } else if (data.type === \"tool\" && data.name) {\n            setActiveTool(data.name);\n            patch((m) => ({\n              ...m,\n              tools: m.tools?.includes(data.name!) ? m.tools : [...(m.tools ?? []), data.name!],\n            }));\n          } else if (data.type === \"refs\" && Array.isArray(data.refs)) {\n            const lines = (\n              data.refs as { id: string; adresse: string; pdf?: string; pdf_pro?: string }[]\n            )\n              .map(\n                (r) =>\n                  `[réf: ${r.adresse} → id ${r.id}` +\n                  (r.pdf ? ` | rapport standard: ${r.pdf} | rapport pro: ${r.pdf_pro}` : \"\") +\n                  \"]\"\n              )\n              .join(\"\\n\");\n            patch((m) => ({ ...m, content: m.content + \"\\n\\n\" + lines }));\n          } else if (data.type === \"error\") {\n            patch((m) => ({\n              ...m,\n              content: m.content + (m.content ? \"\\n\\n\" : \"\") + `*${data.message}*`,\n            }));\n          }\n        }\n      }\n    } catch {\n      setMessages((prev) => {\n        const next = [...prev];\n        const last = next[next.length - 1];\n        if (last?.role === \"assistant\" && !last.content) {\n          last.content = fr\n            ? \"*Connexion interrompue — réessaie dans un instant.*\"\n            : \"*Connection lost — try again in a moment.*\";\n        }\n        return next;\n      });\n    } finally {\n      setActiveTool(null);\n      setBusy(false);\n    }\n  }\n\n  const toolLabel = (name: string) =>\n    TOOL_LABELS[name]?.[fr ? \"fr\" : \"en\"] ?? name.replace(/_/g, \" \");\n\n  return (\n    <div className=\"mx-auto flex w-full max-w-[860px] flex-col\">\n      {/* fil de conversation — défilement interne, hauteur stable */}\n      <div\n        ref={feedRef}\n        onScroll={onFeedScroll}\n        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n      >\n        {messages.length === 0 && (\n          <div className=\"my-auto text-center\">\n            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>\n            </div>\n            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n            </p>\n            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n              {fr\n                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n            </p>\n            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n              {suggestions.map((s) => (\n                <button\n                  key={s}\n                  onClick={() => send(s)}\n                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\n                >\n                  {s}\n                </button>\n              ))}\n            </div>\n          </div>\n        )}\n\n        {messages.map((m, i) => (\n          <div key={i} className={m.role === \"user\" ? \"flex justify-end\" : \"flex justify-start\"}>\n            {m.role === \"user\" ? (\n              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\n                {m.content}\n              </div>\n            ) : (\n              <div className=\"flex w-full max-w-full gap-2 sm:max-w-[94%] sm:gap-3\">\n                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n                </div>\n                <div className=\"min-w-0 flex-1\">\n                  {m.tools && m.tools.length > 0 && (\n                    <div className=\"mb-1.5 flex flex-wrap gap-1.5\">\n                      {m.tools.map((t) => (\n                        <span\n                          key={t}\n                          className=\"vp-mono inline-flex items-center gap-1.5 rounded-full border border-[var(--line)] bg-surface-2 px-2.5 py-[3px] text-[9.5px] uppercase tracking-[0.05em] text-ink-2\"\n                        >\n                          <span\n                            className={`h-[6px] w-[6px] rounded-full ${\n                              busy && i === messages.length - 1 && activeTool === t\n                                ? \"animate-pulse bg-[var(--lime)]\"\n                                : \"bg-[var(--green)]\"\n                            }`}\n                          />\n                          {toolLabel(t)}\n                        </span>\n                      ))}\n                    </div>\n                  )}\n                  <div className=\"text-[13.5px] leading-relaxed sm:text-[14px]\">\n                    {m.content ? (\n                      renderMd(m.content)\n                    ) : busy && i === messages.length - 1 ? (\n                      <span className=\"inline-flex gap-1 py-1\">\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:0ms]\" />\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:120ms]\" />\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:240ms]\" />\n                      </span>\n                    ) : null}\n                  </div>\n                </div>\n              </div>\n            )}\n          </div>\n        ))}\n      </div>\n\n      {/* zone de saisie — toujours visible sous le fil */}\n      <form\n        onSubmit={(e) => {\n          e.preventDefault();\n          send(input);\n        }}\n        className=\"mt-3 flex gap-2 sm:mt-4 sm:gap-2.5\"\n      >\n        <input\n          value={input}\n          onChange={(e) => setInput(e.target.value)}\n          placeholder={fr ? \"Adresse ou question…\" : \"Address or question…\"}\n          className=\"vp-input min-w-0 flex-1\"\n          maxLength={2000}\n          aria-label={fr ? \"Message à Ka\" : \"Message to Ka\"}\n        />\n        <button\n          type=\"submit\"\n          disabled={busy || !input.trim()}\n          className=\"btn btn-primary shrink-0 px-4 disabled:opacity-50 sm:px-5\"\n          aria-label={fr ? \"Envoyer\" : \"Send\"}\n        >\n          <span className=\"hidden sm:inline\">{busy ? (fr ? \"Ka réfléchit…\" : \"Thinking…\") : fr ? \"Envoyer\" : \"Send\"}</span>\n          <span className=\"sm:hidden\">{busy ? \"…\" : \"↑\"}</span>\n        </button>\n      </form>\n\n      <p className=\"vp-mono mt-2.5 px-2 text-center text-[9.5px] uppercase leading-relaxed tracking-[0.08em] text-ink-3 sm:mt-3 sm:text-[10px]\">\n        {fr\n          ? \"Ka est une IA (Claude d'Anthropic) — estimations indicatives, pas un évaluateur agréé\"\n          : \"Ka is an AI (Anthropic's Claude) — indicative estimates, not a chartered appraiser\"}\n      </p>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":316,"oldLines":8,"newStart":316,"newLines":8,"lines":["       >","         {messages.length === 0 && (","           <div className=\"my-auto text-center\">","-            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-2xl border-[1.5px] border-ink bg-ink shadow-[5px_5px_0_var(--lime)] sm:h-16 sm:w-16\">","-              <span className=\"vp-display text-[22px] font-bold text-lime sm:text-[26px]\">Ka</span>","+            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:h-16 sm:w-16\">","+              <span className=\"vp-display text-[22px] font-bold text-[var(--accent-bright)] sm:text-[26px]\">Ka</span>","             </div>","             <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">","               {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQASFydzRQNmwcFom3fY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V6Yef37Nfkon7o42R3vesr","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","old_string":"                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"","new_string":"                  className=\"rounded-[2px] border border-[var(--line-strong)] bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-colors hover:border-accent hover:text-accent-deep\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2565,"cache_read_input_tokens":216428,"cache_creation":{"ephemeral_5m_input_tokens":2565,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7a89e18c-56cc-466f-ae37-7526bb6dc4a2","request_id":"req_011CeQASELRBPNmykbGvnk6N"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V6Yef37Nfkon7o42R3vesr","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5e4b8458-f103-426c-ae7c-208bd5fa1531","timestamp":"2026-08-25T21:18:30.466Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","oldString":"                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"","newString":"                  className=\"rounded-[2px] border border-[var(--line-strong)] bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-colors hover:border-accent hover:text-accent-deep\"","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Ka — interface de conversation en streaming avec l'agent IA.\n * Lit le flux SSE de /api/ka : deltas de texte, activité d'outils, fin.\n * Le fil a son PROPRE défilement (jamais la page) et l'auto-scroll ne suit\n * que si l'utilisateur est déjà au bas du fil — zéro sursaut pendant le stream.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\ninterface Msg {\n  role: \"user\" | \"assistant\";\n  content: string;\n  tools?: string[];\n}\n\nconst TOOL_LABELS: Record<string, { fr: string; en: string }> = {\n  chercher_propriete: { fr: \"Recherche dans le registre\", en: \"Searching the registry\" },\n  evaluer_propriete: { fr: \"Évaluation en cours\", en: \"Running the valuation\" },\n  comparables_detailles: { fr: \"Analyse des comparables\", en: \"Analyzing comparables\" },\n  indice_marche: { fr: \"Lecture de l'indice de marché\", en: \"Reading the market index\" },\n  stats_municipalite: { fr: \"Statistiques municipales\", en: \"Municipal statistics\" },\n  stats_provinciales: { fr: \"Statistiques provinciales\", en: \"Provincial statistics\" },\n  evaluer_parc: { fr: \"Évaluation du parc\", en: \"Evaluating the portfolio\" },\n  comparer_proprietes: { fr: \"Comparaison des propriétés\", en: \"Comparing properties\" },\n  estimation_manuelle: { fr: \"Estimation par caractéristiques\", en: \"Estimating from specs\" },\n  chercher_proprietes_secteur: { fr: \"Balayage du secteur\", en: \"Scanning the area\" },\n  liens_rapports: { fr: \"Préparation des rapports\", en: \"Preparing reports\" },\n};\n\n/* ------------------------------------------------------------ markdown */\n\nfunction inline(s: string, key: string): React.ReactNode[] {\n  const parts: React.ReactNode[] = [];\n  const rx = /\\[([^\\]]+)\\]\\((https?:\\/\\/[^\\s)]+)\\)|\\*\\*([^*]+)\\*\\*|\\*([^*]+)\\*/g;\n  let last = 0;\n  let m: RegExpExecArray | null;\n  let i = 0;\n  while ((m = rx.exec(s))) {\n    if (m.index > last) parts.push(s.slice(last, m.index));\n    if (m[1] && m[2])\n      parts.push(\n        <a\n          key={`${key}-${i++}`}\n          href={m[2]}\n          target=\"_blank\"\n          rel=\"noopener noreferrer\"\n          className=\"font-bold underline decoration-[var(--lime)] decoration-2 underline-offset-2\"\n        >\n          {m[1]}\n        </a>\n      );\n    else if (m[3]) parts.push(<strong key={`${key}-${i++}`}>{m[3]}</strong>);\n    else if (m[4]) parts.push(<em key={`${key}-${i++}`}>{m[4]}</em>);\n    last = m.index + m[0].length;\n  }\n  if (last < s.length) parts.push(s.slice(last));\n  return parts;\n}\n\n/** Rendu markdown minimal et sûr : gras, italique, listes, liens, TABLEAUX, titres. */\nfunction renderMd(text: string): React.ReactNode[] {\n  const blocks: React.ReactNode[] = [];\n  const lines = text.split(\"\\n\");\n  let list: string[] = [];\n  let table: string[][] = [];\n  let k = 0;\n\n  const flushList = () => {\n    if (!list.length) return;\n    blocks.push(\n      <ul key={`ul-${k++}`} className=\"my-1.5 space-y-1 pl-1\">\n        {list.map((li, j) => (\n          <li key={j} className=\"flex gap-2\">\n            <span className=\"mt-[7px] h-[6px] w-[6px] shrink-0 rounded-full bg-[var(--lime)]\" />\n            <span className=\"min-w-0\">{inline(li, `li-${k}-${j}`)}</span>\n          </li>\n        ))}\n      </ul>\n    );\n    list = [];\n  };\n\n  const flushTable = () => {\n    if (!table.length) return;\n    const [head, ...rows] = table;\n    blocks.push(\n      <div\n        key={`tw-${k++}`}\n        className=\"my-2 max-w-full overflow-x-auto rounded-lg border-[1.5px] border-[var(--line)] bg-surface\"\n      >\n        <table className=\"w-full border-collapse text-[12px]\">\n          <thead>\n            <tr>\n              {head.map((c, j) => (\n                <th\n                  key={j}\n                  className=\"vp-mono whitespace-nowrap border-b-[1.5px] border-[var(--line)] bg-surface-2 px-2.5 py-1.5 text-left text-[9px] font-bold uppercase tracking-[0.08em] text-ink-3\"\n                >\n                  {inline(c, `th-${k}-${j}`)}\n                </th>\n              ))}\n            </tr>\n          </thead>\n          <tbody>\n            {rows.map((row, ri) => (\n              <tr key={ri}>\n                {row.map((c, j) => (\n                  <td\n                    key={j}\n                    className={`whitespace-nowrap px-2.5 py-1.5 align-top ${\n                      ri < rows.length - 1 ? \"border-b border-[var(--line)]\" : \"\"\n                    }`}\n                  >\n                    {inline(c, `td-${k}-${ri}-${j}`)}\n                  </td>\n                ))}\n              </tr>\n            ))}\n          </tbody>\n        </table>\n      </div>\n    );\n    table = [];\n  };\n\n  for (const line of lines) {\n    const t = line.trim();\n    // ligne de tableau |a|b|  (ignore la ligne séparatrice |---|---|)\n    if (t.startsWith(\"|\") && t.endsWith(\"|\") && t.length > 2) {\n      const cells = t\n        .slice(1, -1)\n        .split(\"|\")\n        .map((c) => c.trim());\n      if (!cells.every((c) => /^:?-{2,}:?$/.test(c))) {\n        flushList();\n        table.push(cells);\n      }\n      continue;\n    }\n    flushTable();\n    if (/^[-•]\\s+/.test(t)) {\n      list.push(t.replace(/^[-•]\\s+/, \"\"));\n      continue;\n    }\n    flushList();\n    if (t === \"\" || t === \"---\") continue;\n    if (t.startsWith(\"[réf:\")) continue; // réf machine pour la continuité — jamais affichée\n    if (/^#{1,4}\\s+/.test(t)) {\n      blocks.push(\n        <p key={`h-${k++}`} className=\"vp-display mt-2 text-[15px] font-bold\">\n          {inline(t.replace(/^#{1,4}\\s+/, \"\"), `h-${k}`)}\n        </p>\n      );\n    } else {\n      blocks.push(\n        <p key={`p-${k++}`} className=\"my-1.5\">\n          {inline(t, `p-${k}`)}\n        </p>\n      );\n    }\n  }\n  flushList();\n  flushTable();\n  return blocks;\n}\n\n/* ------------------------------------------------------------ composant */\n\nexport default function KaChat() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const [messages, setMessages] = useState<Msg[]>([]);\n  const [input, setInput] = useState(\"\");\n  const [busy, setBusy] = useState(false);\n  const [activeTool, setActiveTool] = useState<string | null>(null);\n  const feedRef = useRef<HTMLDivElement>(null);\n  const stickBottom = useRef(true);\n\n  // auto-scroll DU FIL seulement (jamais la page), et seulement si déjà en bas\n  useEffect(() => {\n    const el = feedRef.current;\n    if (el && stickBottom.current) el.scrollTop = el.scrollHeight;\n  }, [messages, activeTool]);\n\n  const onFeedScroll = () => {\n    const el = feedRef.current;\n    if (!el) return;\n    stickBottom.current = el.scrollHeight - el.scrollTop - el.clientHeight < 140;\n  };\n\n  const suggestions = fr\n    ? [\n        \"Combien vaut le 861 route Elgin à Saint-Pamphile ?\",\n        \"Le marché des condos monte-t-il au Québec ?\",\n        \"Trouve-moi une maison à Lévis sous 450 000 $\",\n        \"Que vaut tout l'immobilier du Québec ?\",\n      ]\n    : [\n        \"How much is 861 route Elgin in Saint-Pamphile worth?\",\n        \"Is the Québec condo market going up?\",\n        \"Find me a house in Lévis under $450,000\",\n        \"What is all Québec real estate worth?\",\n      ];\n\n  async function send(text: string) {\n    const content = text.trim();\n    if (!content || busy) return;\n    setInput(\"\");\n    setBusy(true);\n    setActiveTool(null);\n    stickBottom.current = true;\n\n    const history = [...messages, { role: \"user\" as const, content }];\n    setMessages([...history, { role: \"assistant\", content: \"\", tools: [] }]);\n\n    try {\n      const res = await fetch(\"/api/ka\", {\n        method: \"POST\",\n        headers: { \"Content-Type\": \"application/json\" },\n        body: JSON.stringify({\n          messages: history.map(({ role, content }) => ({ role, content })),\n        }),\n      });\n      if (!res.ok || !res.body) throw new Error(String(res.status));\n\n      const reader = res.body.getReader();\n      const decoder = new TextDecoder();\n      let buffer = \"\";\n\n      const patch = (fn: (m: Msg) => Msg) =>\n        setMessages((prev) => {\n          const next = [...prev];\n          next[next.length - 1] = fn(next[next.length - 1]);\n          return next;\n        });\n\n      for (;;) {\n        const { done, value } = await reader.read();\n        if (done) break;\n        buffer += decoder.decode(value, { stream: true });\n        const events = buffer.split(\"\\n\\n\");\n        buffer = events.pop() ?? \"\";\n        for (const ev of events) {\n          const line = ev.split(\"\\n\").find((l) => l.startsWith(\"data: \"));\n          if (!line) continue;\n          let data: {\n            type: string;\n            text?: string;\n            name?: string;\n            message?: string;\n            refs?: { id: string; adresse: string; pdf?: string; pdf_pro?: string }[];\n          };\n          try {\n            data = JSON.parse(line.slice(6));\n          } catch {\n            continue;\n          }\n          if (data.type === \"text\" && data.text) {\n            setActiveTool(null);\n            patch((m) => ({ ...m, content: m.content + data.text }));\n          } else if (data.type === \"tool\" && data.name) {\n            setActiveTool(data.name);\n            patch((m) => ({\n              ...m,\n              tools: m.tools?.includes(data.name!) ? m.tools : [...(m.tools ?? []), data.name!],\n            }));\n          } else if (data.type === \"refs\" && Array.isArray(data.refs)) {\n            const lines = (\n              data.refs as { id: string; adresse: string; pdf?: string; pdf_pro?: string }[]\n            )\n              .map(\n                (r) =>\n                  `[réf: ${r.adresse} → id ${r.id}` +\n                  (r.pdf ? ` | rapport standard: ${r.pdf} | rapport pro: ${r.pdf_pro}` : \"\") +\n                  \"]\"\n              )\n              .join(\"\\n\");\n            patch((m) => ({ ...m, content: m.content + \"\\n\\n\" + lines }));\n          } else if (data.type === \"error\") {\n            patch((m) => ({\n              ...m,\n              content: m.content + (m.content ? \"\\n\\n\" : \"\") + `*${data.message}*`,\n            }));\n          }\n        }\n      }\n    } catch {\n      setMessages((prev) => {\n        const next = [...prev];\n        const last = next[next.length - 1];\n        if (last?.role === \"assistant\" && !last.content) {\n          last.content = fr\n            ? \"*Connexion interrompue — réessaie dans un instant.*\"\n            : \"*Connection lost — try again in a moment.*\";\n        }\n        return next;\n      });\n    } finally {\n      setActiveTool(null);\n      setBusy(false);\n    }\n  }\n\n  const toolLabel = (name: string) =>\n    TOOL_LABELS[name]?.[fr ? \"fr\" : \"en\"] ?? name.replace(/_/g, \" \");\n\n  return (\n    <div className=\"mx-auto flex w-full max-w-[860px] flex-col\">\n      {/* fil de conversation — défilement interne, hauteur stable */}\n      <div\n        ref={feedRef}\n        onScroll={onFeedScroll}\n        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n      >\n        {messages.length === 0 && (\n          <div className=\"my-auto text-center\">\n            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-[var(--accent-bright)] sm:text-[26px]\">Ka</span>\n            </div>\n            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n            </p>\n            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n              {fr\n                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n            </p>\n            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n              {suggestions.map((s) => (\n                <button\n                  key={s}\n                  onClick={() => send(s)}\n                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"\n                >\n                  {s}\n                </button>\n              ))}\n            </div>\n          </div>\n        )}\n\n        {messages.map((m, i) => (\n          <div key={i} className={m.role === \"user\" ? \"flex justify-end\" : \"flex justify-start\"}>\n            {m.role === \"user\" ? (\n              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\n                {m.content}\n              </div>\n            ) : (\n              <div className=\"flex w-full max-w-full gap-2 sm:max-w-[94%] sm:gap-3\">\n                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n                </div>\n                <div className=\"min-w-0 flex-1\">\n                  {m.tools && m.tools.length > 0 && (\n                    <div className=\"mb-1.5 flex flex-wrap gap-1.5\">\n                      {m.tools.map((t) => (\n                        <span\n                          key={t}\n                          className=\"vp-mono inline-flex items-center gap-1.5 rounded-full border border-[var(--line)] bg-surface-2 px-2.5 py-[3px] text-[9.5px] uppercase tracking-[0.05em] text-ink-2\"\n                        >\n                          <span\n                            className={`h-[6px] w-[6px] rounded-full ${\n                              busy && i === messages.length - 1 && activeTool === t\n                                ? \"animate-pulse bg-[var(--lime)]\"\n                                : \"bg-[var(--green)]\"\n                            }`}\n                          />\n                          {toolLabel(t)}\n                        </span>\n                      ))}\n                    </div>\n                  )}\n                  <div className=\"text-[13.5px] leading-relaxed sm:text-[14px]\">\n                    {m.content ? (\n                      renderMd(m.content)\n                    ) : busy && i === messages.length - 1 ? (\n                      <span className=\"inline-flex gap-1 py-1\">\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:0ms]\" />\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:120ms]\" />\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:240ms]\" />\n                      </span>\n                    ) : null}\n                  </div>\n                </div>\n              </div>\n            )}\n          </div>\n        ))}\n      </div>\n\n      {/* zone de saisie — toujours visible sous le fil */}\n      <form\n        onSubmit={(e) => {\n          e.preventDefault();\n          send(input);\n        }}\n        className=\"mt-3 flex gap-2 sm:mt-4 sm:gap-2.5\"\n      >\n        <input\n          value={input}\n          onChange={(e) => setInput(e.target.value)}\n          placeholder={fr ? \"Adresse ou question…\" : \"Address or question…\"}\n          className=\"vp-input min-w-0 flex-1\"\n          maxLength={2000}\n          aria-label={fr ? \"Message à Ka\" : \"Message to Ka\"}\n        />\n        <button\n          type=\"submit\"\n          disabled={busy || !input.trim()}\n          className=\"btn btn-primary shrink-0 px-4 disabled:opacity-50 sm:px-5\"\n          aria-label={fr ? \"Envoyer\" : \"Send\"}\n        >\n          <span className=\"hidden sm:inline\">{busy ? (fr ? \"Ka réfléchit…\" : \"Thinking…\") : fr ? \"Envoyer\" : \"Send\"}</span>\n          <span className=\"sm:hidden\">{busy ? \"…\" : \"↑\"}</span>\n        </button>\n      </form>\n\n      <p className=\"vp-mono mt-2.5 px-2 text-center text-[9.5px] uppercase leading-relaxed tracking-[0.08em] text-ink-3 sm:mt-3 sm:text-[10px]\">\n        {fr\n          ? \"Ka est une IA (Claude d'Anthropic) — estimations indicatives, pas un évaluateur agréé\"\n          : \"Ka is an AI (Anthropic's Claude) — indicative estimates, not a chartered appraiser\"}\n      </p>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":332,"oldLines":7,"newStart":332,"newLines":7,"lines":["                 <button","                   key={s}","                   onClick={() => send(s)}","-                  className=\"rounded-full border-[1.5px] border-ink bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-all hover:bg-lime-soft hover:shadow-[3px_3px_0_var(--ink)] active:translate-y-[1px]\"","+                  className=\"rounded-[2px] border border-[var(--line-strong)] bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-colors hover:border-accent hover:text-accent-deep\"","                 >","                   {s}","                 </button>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQASFydzRQNmwcFom3fY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01K3wuucsxqzxcgg3woQxbbC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","old_string":"                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n                </div>","new_string":"                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-[var(--accent-bright)]\">Ka</span>\n                </div>"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2565,"cache_read_input_tokens":216428,"cache_creation":{"ephemeral_5m_input_tokens":2565,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b5b9d0c8-ca43-4cf1-ac98-ffd876685861","request_id":"req_011CeQASELRBPNmykbGvnk6N"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01K3wuucsxqzxcgg3woQxbbC","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"96023711-c767-4146-9e36-2c81795fa987","timestamp":"2026-08-25T21:18:33.290Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/KaChat.tsx","oldString":"                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n                </div>","newString":"                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-[var(--accent-bright)]\">Ka</span>\n                </div>","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Ka — interface de conversation en streaming avec l'agent IA.\n * Lit le flux SSE de /api/ka : deltas de texte, activité d'outils, fin.\n * Le fil a son PROPRE défilement (jamais la page) et l'auto-scroll ne suit\n * que si l'utilisateur est déjà au bas du fil — zéro sursaut pendant le stream.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\nimport { useLang } from \"./LangContext\";\n\ninterface Msg {\n  role: \"user\" | \"assistant\";\n  content: string;\n  tools?: string[];\n}\n\nconst TOOL_LABELS: Record<string, { fr: string; en: string }> = {\n  chercher_propriete: { fr: \"Recherche dans le registre\", en: \"Searching the registry\" },\n  evaluer_propriete: { fr: \"Évaluation en cours\", en: \"Running the valuation\" },\n  comparables_detailles: { fr: \"Analyse des comparables\", en: \"Analyzing comparables\" },\n  indice_marche: { fr: \"Lecture de l'indice de marché\", en: \"Reading the market index\" },\n  stats_municipalite: { fr: \"Statistiques municipales\", en: \"Municipal statistics\" },\n  stats_provinciales: { fr: \"Statistiques provinciales\", en: \"Provincial statistics\" },\n  evaluer_parc: { fr: \"Évaluation du parc\", en: \"Evaluating the portfolio\" },\n  comparer_proprietes: { fr: \"Comparaison des propriétés\", en: \"Comparing properties\" },\n  estimation_manuelle: { fr: \"Estimation par caractéristiques\", en: \"Estimating from specs\" },\n  chercher_proprietes_secteur: { fr: \"Balayage du secteur\", en: \"Scanning the area\" },\n  liens_rapports: { fr: \"Préparation des rapports\", en: \"Preparing reports\" },\n};\n\n/* ------------------------------------------------------------ markdown */\n\nfunction inline(s: string, key: string): React.ReactNode[] {\n  const parts: React.ReactNode[] = [];\n  const rx = /\\[([^\\]]+)\\]\\((https?:\\/\\/[^\\s)]+)\\)|\\*\\*([^*]+)\\*\\*|\\*([^*]+)\\*/g;\n  let last = 0;\n  let m: RegExpExecArray | null;\n  let i = 0;\n  while ((m = rx.exec(s))) {\n    if (m.index > last) parts.push(s.slice(last, m.index));\n    if (m[1] && m[2])\n      parts.push(\n        <a\n          key={`${key}-${i++}`}\n          href={m[2]}\n          target=\"_blank\"\n          rel=\"noopener noreferrer\"\n          className=\"font-bold underline decoration-[var(--lime)] decoration-2 underline-offset-2\"\n        >\n          {m[1]}\n        </a>\n      );\n    else if (m[3]) parts.push(<strong key={`${key}-${i++}`}>{m[3]}</strong>);\n    else if (m[4]) parts.push(<em key={`${key}-${i++}`}>{m[4]}</em>);\n    last = m.index + m[0].length;\n  }\n  if (last < s.length) parts.push(s.slice(last));\n  return parts;\n}\n\n/** Rendu markdown minimal et sûr : gras, italique, listes, liens, TABLEAUX, titres. */\nfunction renderMd(text: string): React.ReactNode[] {\n  const blocks: React.ReactNode[] = [];\n  const lines = text.split(\"\\n\");\n  let list: string[] = [];\n  let table: string[][] = [];\n  let k = 0;\n\n  const flushList = () => {\n    if (!list.length) return;\n    blocks.push(\n      <ul key={`ul-${k++}`} className=\"my-1.5 space-y-1 pl-1\">\n        {list.map((li, j) => (\n          <li key={j} className=\"flex gap-2\">\n            <span className=\"mt-[7px] h-[6px] w-[6px] shrink-0 rounded-full bg-[var(--lime)]\" />\n            <span className=\"min-w-0\">{inline(li, `li-${k}-${j}`)}</span>\n          </li>\n        ))}\n      </ul>\n    );\n    list = [];\n  };\n\n  const flushTable = () => {\n    if (!table.length) return;\n    const [head, ...rows] = table;\n    blocks.push(\n      <div\n        key={`tw-${k++}`}\n        className=\"my-2 max-w-full overflow-x-auto rounded-lg border-[1.5px] border-[var(--line)] bg-surface\"\n      >\n        <table className=\"w-full border-collapse text-[12px]\">\n          <thead>\n            <tr>\n              {head.map((c, j) => (\n                <th\n                  key={j}\n                  className=\"vp-mono whitespace-nowrap border-b-[1.5px] border-[var(--line)] bg-surface-2 px-2.5 py-1.5 text-left text-[9px] font-bold uppercase tracking-[0.08em] text-ink-3\"\n                >\n                  {inline(c, `th-${k}-${j}`)}\n                </th>\n              ))}\n            </tr>\n          </thead>\n          <tbody>\n            {rows.map((row, ri) => (\n              <tr key={ri}>\n                {row.map((c, j) => (\n                  <td\n                    key={j}\n                    className={`whitespace-nowrap px-2.5 py-1.5 align-top ${\n                      ri < rows.length - 1 ? \"border-b border-[var(--line)]\" : \"\"\n                    }`}\n                  >\n                    {inline(c, `td-${k}-${ri}-${j}`)}\n                  </td>\n                ))}\n              </tr>\n            ))}\n          </tbody>\n        </table>\n      </div>\n    );\n    table = [];\n  };\n\n  for (const line of lines) {\n    const t = line.trim();\n    // ligne de tableau |a|b|  (ignore la ligne séparatrice |---|---|)\n    if (t.startsWith(\"|\") && t.endsWith(\"|\") && t.length > 2) {\n      const cells = t\n        .slice(1, -1)\n        .split(\"|\")\n        .map((c) => c.trim());\n      if (!cells.every((c) => /^:?-{2,}:?$/.test(c))) {\n        flushList();\n        table.push(cells);\n      }\n      continue;\n    }\n    flushTable();\n    if (/^[-•]\\s+/.test(t)) {\n      list.push(t.replace(/^[-•]\\s+/, \"\"));\n      continue;\n    }\n    flushList();\n    if (t === \"\" || t === \"---\") continue;\n    if (t.startsWith(\"[réf:\")) continue; // réf machine pour la continuité — jamais affichée\n    if (/^#{1,4}\\s+/.test(t)) {\n      blocks.push(\n        <p key={`h-${k++}`} className=\"vp-display mt-2 text-[15px] font-bold\">\n          {inline(t.replace(/^#{1,4}\\s+/, \"\"), `h-${k}`)}\n        </p>\n      );\n    } else {\n      blocks.push(\n        <p key={`p-${k++}`} className=\"my-1.5\">\n          {inline(t, `p-${k}`)}\n        </p>\n      );\n    }\n  }\n  flushList();\n  flushTable();\n  return blocks;\n}\n\n/* ------------------------------------------------------------ composant */\n\nexport default function KaChat() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const [messages, setMessages] = useState<Msg[]>([]);\n  const [input, setInput] = useState(\"\");\n  const [busy, setBusy] = useState(false);\n  const [activeTool, setActiveTool] = useState<string | null>(null);\n  const feedRef = useRef<HTMLDivElement>(null);\n  const stickBottom = useRef(true);\n\n  // auto-scroll DU FIL seulement (jamais la page), et seulement si déjà en bas\n  useEffect(() => {\n    const el = feedRef.current;\n    if (el && stickBottom.current) el.scrollTop = el.scrollHeight;\n  }, [messages, activeTool]);\n\n  const onFeedScroll = () => {\n    const el = feedRef.current;\n    if (!el) return;\n    stickBottom.current = el.scrollHeight - el.scrollTop - el.clientHeight < 140;\n  };\n\n  const suggestions = fr\n    ? [\n        \"Combien vaut le 861 route Elgin à Saint-Pamphile ?\",\n        \"Le marché des condos monte-t-il au Québec ?\",\n        \"Trouve-moi une maison à Lévis sous 450 000 $\",\n        \"Que vaut tout l'immobilier du Québec ?\",\n      ]\n    : [\n        \"How much is 861 route Elgin in Saint-Pamphile worth?\",\n        \"Is the Québec condo market going up?\",\n        \"Find me a house in Lévis under $450,000\",\n        \"What is all Québec real estate worth?\",\n      ];\n\n  async function send(text: string) {\n    const content = text.trim();\n    if (!content || busy) return;\n    setInput(\"\");\n    setBusy(true);\n    setActiveTool(null);\n    stickBottom.current = true;\n\n    const history = [...messages, { role: \"user\" as const, content }];\n    setMessages([...history, { role: \"assistant\", content: \"\", tools: [] }]);\n\n    try {\n      const res = await fetch(\"/api/ka\", {\n        method: \"POST\",\n        headers: { \"Content-Type\": \"application/json\" },\n        body: JSON.stringify({\n          messages: history.map(({ role, content }) => ({ role, content })),\n        }),\n      });\n      if (!res.ok || !res.body) throw new Error(String(res.status));\n\n      const reader = res.body.getReader();\n      const decoder = new TextDecoder();\n      let buffer = \"\";\n\n      const patch = (fn: (m: Msg) => Msg) =>\n        setMessages((prev) => {\n          const next = [...prev];\n          next[next.length - 1] = fn(next[next.length - 1]);\n          return next;\n        });\n\n      for (;;) {\n        const { done, value } = await reader.read();\n        if (done) break;\n        buffer += decoder.decode(value, { stream: true });\n        const events = buffer.split(\"\\n\\n\");\n        buffer = events.pop() ?? \"\";\n        for (const ev of events) {\n          const line = ev.split(\"\\n\").find((l) => l.startsWith(\"data: \"));\n          if (!line) continue;\n          let data: {\n            type: string;\n            text?: string;\n            name?: string;\n            message?: string;\n            refs?: { id: string; adresse: string; pdf?: string; pdf_pro?: string }[];\n          };\n          try {\n            data = JSON.parse(line.slice(6));\n          } catch {\n            continue;\n          }\n          if (data.type === \"text\" && data.text) {\n            setActiveTool(null);\n            patch((m) => ({ ...m, content: m.content + data.text }));\n          } else if (data.type === \"tool\" && data.name) {\n            setActiveTool(data.name);\n            patch((m) => ({\n              ...m,\n              tools: m.tools?.includes(data.name!) ? m.tools : [...(m.tools ?? []), data.name!],\n            }));\n          } else if (data.type === \"refs\" && Array.isArray(data.refs)) {\n            const lines = (\n              data.refs as { id: string; adresse: string; pdf?: string; pdf_pro?: string }[]\n            )\n              .map(\n                (r) =>\n                  `[réf: ${r.adresse} → id ${r.id}` +\n                  (r.pdf ? ` | rapport standard: ${r.pdf} | rapport pro: ${r.pdf_pro}` : \"\") +\n                  \"]\"\n              )\n              .join(\"\\n\");\n            patch((m) => ({ ...m, content: m.content + \"\\n\\n\" + lines }));\n          } else if (data.type === \"error\") {\n            patch((m) => ({\n              ...m,\n              content: m.content + (m.content ? \"\\n\\n\" : \"\") + `*${data.message}*`,\n            }));\n          }\n        }\n      }\n    } catch {\n      setMessages((prev) => {\n        const next = [...prev];\n        const last = next[next.length - 1];\n        if (last?.role === \"assistant\" && !last.content) {\n          last.content = fr\n            ? \"*Connexion interrompue — réessaie dans un instant.*\"\n            : \"*Connection lost — try again in a moment.*\";\n        }\n        return next;\n      });\n    } finally {\n      setActiveTool(null);\n      setBusy(false);\n    }\n  }\n\n  const toolLabel = (name: string) =>\n    TOOL_LABELS[name]?.[fr ? \"fr\" : \"en\"] ?? name.replace(/_/g, \" \");\n\n  return (\n    <div className=\"mx-auto flex w-full max-w-[860px] flex-col\">\n      {/* fil de conversation — défilement interne, hauteur stable */}\n      <div\n        ref={feedRef}\n        onScroll={onFeedScroll}\n        className=\"vp-card flex h-[56dvh] flex-col gap-4 overflow-y-auto overscroll-contain p-3.5 sm:h-[58vh] sm:gap-5 sm:p-6\"\n      >\n        {messages.length === 0 && (\n          <div className=\"my-auto text-center\">\n            <div className=\"mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:h-16 sm:w-16\">\n              <span className=\"vp-display text-[22px] font-bold text-[var(--accent-bright)] sm:text-[26px]\">Ka</span>\n            </div>\n            <p className=\"vp-display px-2 text-[17px] font-bold sm:text-[19px]\">\n              {fr ? \"Dis-moi quelle propriété t'intéresse.\" : \"Tell me which property you're curious about.\"}\n            </p>\n            <p className=\"mx-auto mt-1.5 max-w-[440px] px-3 text-[13px] text-ink-2 sm:text-[13.5px]\">\n              {fr\n                ? \"Je fouille 3,7 millions d'unités d'évaluation et 745 000 ventes réelles, en direct, pendant qu'on jase.\"\n                : \"I search 3.7M assessment units and 745k real sales, live, while we chat.\"}\n            </p>\n            <div className=\"mx-auto mt-4 flex max-w-[560px] flex-col items-stretch gap-2 px-1 sm:mt-5 sm:flex-row sm:flex-wrap sm:justify-center\">\n              {suggestions.map((s) => (\n                <button\n                  key={s}\n                  onClick={() => send(s)}\n                  className=\"rounded-[2px] border border-[var(--line-strong)] bg-surface px-3.5 py-2 text-[12.5px] font-semibold transition-colors hover:border-accent hover:text-accent-deep\"\n                >\n                  {s}\n                </button>\n              ))}\n            </div>\n          </div>\n        )}\n\n        {messages.map((m, i) => (\n          <div key={i} className={m.role === \"user\" ? \"flex justify-end\" : \"flex justify-start\"}>\n            {m.role === \"user\" ? (\n              <div className=\"max-w-[88%] rounded-2xl rounded-br-md border-[1.5px] border-ink bg-ink px-3.5 py-2.5 text-[13.5px] font-medium text-paper sm:text-[14px]\">\n                {m.content}\n              </div>\n            ) : (\n              <div className=\"flex w-full max-w-full gap-2 sm:max-w-[94%] sm:gap-3\">\n                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">\n                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>\n                </div>\n                <div className=\"min-w-0 flex-1\">\n                  {m.tools && m.tools.length > 0 && (\n                    <div className=\"mb-1.5 flex flex-wrap gap-1.5\">\n                      {m.tools.map((t) => (\n                        <span\n                          key={t}\n                          className=\"vp-mono inline-flex items-center gap-1.5 rounded-full border border-[var(--line)] bg-surface-2 px-2.5 py-[3px] text-[9.5px] uppercase tracking-[0.05em] text-ink-2\"\n                        >\n                          <span\n                            className={`h-[6px] w-[6px] rounded-full ${\n                              busy && i === messages.length - 1 && activeTool === t\n                                ? \"animate-pulse bg-[var(--lime)]\"\n                                : \"bg-[var(--green)]\"\n                            }`}\n                          />\n                          {toolLabel(t)}\n                        </span>\n                      ))}\n                    </div>\n                  )}\n                  <div className=\"text-[13.5px] leading-relaxed sm:text-[14px]\">\n                    {m.content ? (\n                      renderMd(m.content)\n                    ) : busy && i === messages.length - 1 ? (\n                      <span className=\"inline-flex gap-1 py-1\">\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:0ms]\" />\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:120ms]\" />\n                        <span className=\"h-2 w-2 animate-bounce rounded-full bg-ink-3 [animation-delay:240ms]\" />\n                      </span>\n                    ) : null}\n                  </div>\n                </div>\n              </div>\n            )}\n          </div>\n        ))}\n      </div>\n\n      {/* zone de saisie — toujours visible sous le fil */}\n      <form\n        onSubmit={(e) => {\n          e.preventDefault();\n          send(input);\n        }}\n        className=\"mt-3 flex gap-2 sm:mt-4 sm:gap-2.5\"\n      >\n        <input\n          value={input}\n          onChange={(e) => setInput(e.target.value)}\n          placeholder={fr ? \"Adresse ou question…\" : \"Address or question…\"}\n          className=\"vp-input min-w-0 flex-1\"\n          maxLength={2000}\n          aria-label={fr ? \"Message à Ka\" : \"Message to Ka\"}\n        />\n        <button\n          type=\"submit\"\n          disabled={busy || !input.trim()}\n          className=\"btn btn-primary shrink-0 px-4 disabled:opacity-50 sm:px-5\"\n          aria-label={fr ? \"Envoyer\" : \"Send\"}\n        >\n          <span className=\"hidden sm:inline\">{busy ? (fr ? \"Ka réfléchit…\" : \"Thinking…\") : fr ? \"Envoyer\" : \"Send\"}</span>\n          <span className=\"sm:hidden\">{busy ? \"…\" : \"↑\"}</span>\n        </button>\n      </form>\n\n      <p className=\"vp-mono mt-2.5 px-2 text-center text-[9.5px] uppercase leading-relaxed tracking-[0.08em] text-ink-3 sm:mt-3 sm:text-[10px]\">\n        {fr\n          ? \"Ka est une IA (Claude d'Anthropic) — estimations indicatives, pas un évaluateur agréé\"\n          : \"Ka is an AI (Anthropic's Claude) — indicative estimates, not a chartered appraiser\"}\n      </p>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":349,"oldLines":8,"newStart":349,"newLines":8,"lines":["               </div>","             ) : (","               <div className=\"flex w-full max-w-full gap-2 sm:max-w-[94%] sm:gap-3\">","-                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-lg border-[1.5px] border-ink bg-ink sm:flex\">","-                  <span className=\"vp-display text-[12px] font-bold text-lime\">Ka</span>","+                <div className=\"mt-0.5 hidden h-8 w-8 shrink-0 items-center justify-center rounded-[2px] bg-[var(--ink-deep)] sm:flex\">","+                  <span className=\"vp-display text-[12px] font-bold text-[var(--accent-bright)]\">Ka</span>","                 </div>","                 <div className=\"min-w-0 flex-1\">","                   {m.tools && m.tools.length > 0 && ("]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQASFydzRQNmwcFom3fY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01384YR3PQXyr1pKYcJ4fAR5","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx","old_string":"      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">","new_string":"      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 border-y border-[var(--line)] px-1 py-3\">"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2565,"cache_read_input_tokens":216428,"cache_creation":{"ephemeral_5m_input_tokens":2565,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"09ff9734-d7af-44fd-9ef6-5c92d9ba40a7","request_id":"req_011CeQASELRBPNmykbGvnk6N"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01384YR3PQXyr1pKYcJ4fAR5","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"10a7a9d4-4cb4-4632-9f43-a41f816802dc","timestamp":"2026-08-25T21:18:35.266Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx","oldString":"      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">","newString":"      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 border-y border-[var(--line)] px-1 py-3\">","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Tableau de bord /stats v2 — module Stats commun Groupe KA (src/ka/stats/\n * SPEC.md §1), monté sur le kit kacharts : bandeau KPI (sparklines), jauges,\n * courbes + stats de séries, multi-courbes, barres empilées, répartitions,\n * distributions, géographie, calendrier d'activité, tableaux, records,\n * fraîcheur + PdfButton (5 rapports). Données : /api/stats/dashboard\n * (instantané du rôle 2026 + corpus de ventes réelles — period non applicable).\n */\n\"use client\";\nimport { useCallback, useState } from \"react\";\nimport {\n  KpiCard, GaugeCard, LineChart, MultiLineChart, StackedBarChart, BarChart,\n  Donut, Histogram, CalendarHeatmap, StatSummary, DataTable, RecordCard,\n  PdfButton, Fraicheur,\n  type Kpi, type Serie, type MultiSerie, type StackedSerie, type BreakItem,\n  type Distribution, type Gauge, type TableSpec, type RecordFact,\n} from \"@/ka/stats/kacharts\";\nimport { useLang } from \"./LangContext\";\n\nexport interface DashboardPayload {\n  updated: string;\n  period: { label: string; applicable?: boolean };\n  kpis: Kpi[];\n  gauges?: Gauge[];\n  series?: Serie[];\n  multiseries?: MultiSerie[];\n  stacked?: StackedSerie[];\n  breakdowns?: { id: string; title: string; kind: \"donut\" | \"bars\"; items: BreakItem[] }[];\n  distributions?: Distribution[];\n  geo?: { title: string; items: BreakItem[] };\n  heatmap?: { title: string; cells: { date: string; value: number }[] };\n  tables?: TableSpec[];\n  records?: RecordFact[];\n}\n\nfunction SectionTitle({ kicker, title }: { kicker: string; title: string }) {\n  return (\n    <div className=\"mb-4 mt-12\">\n      <span className=\"kicker\">{kicker}</span>\n      <h2 className=\"vp-display mt-2 text-[22px] font-bold uppercase tracking-[-0.02em]\">{title}</h2>\n    </div>\n  );\n}\n\nexport default function StatsDashboard({ initial }: { initial: DashboardPayload }) {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n  const [data, setData] = useState<DashboardPayload>(initial);\n  const refresh = useCallback(async () => {\n    try {\n      const r = await fetch(\"/api/stats/dashboard?period=tout\", { cache: \"no-store\" });\n      if (r.ok) setData(await r.json());\n    } catch {\n      /* on garde les données courantes */\n    }\n  }, []);\n\n  const keySeries = new Set([\"valeur_millesime\", \"ventes_mois\", \"prix_median_mois\"]);\n\n  return (\n    <div>\n      {/* ---- fraîcheur + rapports PDF (5 modes) ---- */}\n      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">\n        <div>\n          <p className=\"vp-mono text-[10px] font-bold uppercase tracking-[0.08em] text-ink-3\">\n            {fr\n              ? `${data.period.label} · corpus de ventes 2021-2026 · périodes non applicables (instantané)`\n              : `${data.period.label} · 2021-2026 sales corpus · periods not applicable (snapshot)`}\n          </p>\n          <div className=\"mt-1.5\">\n            <Fraicheur updated={data.updated} onRefresh={refresh} />\n          </div>\n        </div>\n        <PdfButton period=\"tout\" />\n      </div>\n\n      {/* ---- 1. bandeau KPI ---- */}\n      <SectionTitle kicker={fr ? \"Indicateurs\" : \"Indicators\"} title={fr ? \"Indicateurs clés\" : \"Key indicators\"} />\n      <div className=\"grid grid-cols-1 gap-3.5 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4\">\n        {data.kpis.map((k) => <KpiCard key={k.id} k={k} />)}\n      </div>\n\n      {/* ---- 3. jauges ---- */}\n      {!!data.gauges?.length && (\n        <>\n          <SectionTitle kicker={fr ? \"Couverture\" : \"Coverage\"} title={fr ? \"Couverture & complétude du rôle\" : \"Roll coverage & completeness\"} />\n          <div className=\"grid grid-cols-2 gap-3.5 lg:grid-cols-4\">\n            {data.gauges.map((g) => <GaugeCard key={g.id} g={g} />)}\n          </div>\n        </>\n      )}\n\n      {/* ---- 4. évolutions ---- */}\n      {!!data.series?.length && (\n        <>\n          <SectionTitle kicker=\"2021 → 2026\" title={fr ? \"Évolution — millésimes & ventes réelles\" : \"Trends — vintages & real sales\"} />\n          <div className=\"grid gap-4\">\n            {data.series.map((s) => (\n              <div key={s.id}>\n                <LineChart serie={s} />\n                {keySeries.has(s.id) && <StatSummary serie={s} />}\n              </div>\n            ))}\n          </div>\n        </>\n      )}\n      {!!data.multiseries?.length && (\n        <>\n          <SectionTitle kicker={fr ? \"Marché\" : \"Market\"} title={fr ? \"Indices de marché & prix au m²\" : \"Market indices & price per m²\"} />\n          <div className=\"grid gap-4\">\n            {data.multiseries.map((ms) => <MultiLineChart key={ms.id} ms={ms} />)}\n          </div>\n        </>\n      )}\n      {!!data.stacked?.length && (\n        <div className=\"mt-4 grid gap-4\">\n          {data.stacked.map((st) => <StackedBarChart key={st.id} st={st} />)}\n        </div>\n      )}\n\n      {/* ---- 5. répartitions & distributions ---- */}\n      {(!!data.breakdowns?.length || !!data.distributions?.length) && (\n        <>\n          <SectionTitle kicker={fr ? \"Répartitions\" : \"Breakdowns\"} title={fr ? \"Répartitions & distributions\" : \"Breakdowns & distributions\"} />\n          <div className=\"grid gap-4 lg:grid-cols-2\">\n            {data.breakdowns?.map((b) =>\n              b.kind === \"donut\"\n                ? <Donut key={b.id} title={b.title} items={b.items} />\n                : <BarChart key={b.id} title={b.title} items={b.items} />\n            )}\n            {data.distributions?.map((d) => <Histogram key={d.id} dist={d} />)}\n          </div>\n        </>\n      )}\n\n      {/* ---- 6. géographie ---- */}\n      {!!data.geo?.items?.length && (\n        <>\n          <SectionTitle kicker={fr ? \"Géographie\" : \"Geography\"} title={data.geo.title} />\n          <BarChart title={data.geo.title} items={data.geo.items} />\n        </>\n      )}\n\n      {/* ---- 7. calendrier d'activité ---- */}\n      {!!data.heatmap?.cells?.length && (\n        <>\n          <SectionTitle kicker={fr ? \"Activité\" : \"Activity\"} title={fr ? \"Ventes réelles au calendrier\" : \"Real sales calendar\"} />\n          <CalendarHeatmap title={data.heatmap.title} cells={data.heatmap.cells} />\n        </>\n      )}\n\n      {/* ---- 8. tableaux détaillés ---- */}\n      {!!data.tables?.length && (\n        <>\n          <SectionTitle kicker={fr ? \"Détails\" : \"Details\"} title={fr ? \"Tableaux détaillés\" : \"Detailed tables\"} />\n          <div className=\"grid gap-5\">\n            {data.tables.map((t) => <DataTable key={t.id} spec={t as TableSpec} />)}\n          </div>\n        </>\n      )}\n\n      {/* ---- 9. records ---- */}\n      {!!data.records?.length && (\n        <>\n          <SectionTitle kicker={fr ? \"Faits marquants\" : \"Highlights\"} title={fr ? \"Records & faits marquants\" : \"Records & highlights\"} />\n          <div className=\"grid gap-3 sm:grid-cols-2\">\n            {data.records.map((r) => <RecordCard key={r.label} r={r} />)}\n          </div>\n        </>\n      )}\n\n      {/* ---- 10. fraîcheur (rappel de bas de page) ---- */}\n      <div className=\"mt-10 flex justify-between gap-3\">\n        <Fraicheur updated={data.updated} onRefresh={refresh} />\n        <PdfButton period=\"tout\" />\n      </div>\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":61,"oldLines":7,"newStart":61,"newLines":7,"lines":["   return (","     <div>","       {/* ---- fraîcheur + rapports PDF (5 modes) ---- */}","-      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 rounded-[10px] border-[1.5px] border-ink bg-surface px-4 py-3\">","+      <div className=\"mb-2 mt-10 flex flex-wrap items-center justify-between gap-3 border-y border-[var(--line)] px-1 py-3\">","         <div>","           <p className=\"vp-mono text-[10px] font-bold uppercase tracking-[0.08em] text-ink-3\">","             {fr"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4eaeaac3-057e-418b-8b5f-10d463aa750f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2fc30e39-9068-40ce-b9fe-3b1e9e6514b4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"3158288e-5503-4163-a920-73cbe58da12b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"75ea8cb9-4b59-4448-942b-0e9f32400597","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATJSFYSAwKfi9moJ31","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1726,"cache_read_input_tokens":218993,"cache_creation":{"ephemeral_5m_input_tokens":1726,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"43de7a18-48e2-409a-9960-5fb957ca8159","request_id":"req_011CeQATGebnP3sstkRQWWhd"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATJSFYSAwKfi9moJ31","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011d8AP99MSCiNx4eYEqxAzi","name":"Bash","input":{"command":"grep -n \"shadow-\\[\\|rotate-\\[\\|bg-lime\\|text-lime\\|hl\\b\" src/app/ka/KaHero.tsx src/app/parc/ParcClient.tsx src/app/favoris/FavorisClient.tsx src/app/municipalites/page.tsx src/app/estimation/manuelle/page.tsx src/app/carte/CartePage.tsx src/components/KaCarte.tsx src/components/LegalPage.tsx 2>/dev/null | head -40","description":"Remaining leftovers in ka/parc/favoris/municipalites/carte/legal"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1726,"cache_read_input_tokens":218993,"cache_creation":{"ephemeral_5m_input_tokens":1726,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"97318ee9-058b-412e-b2f6-a5954a7012e5","request_id":"req_011CeQATGebnP3sstkRQWWhd"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011d8AP99MSCiNx4eYEqxAzi","type":"tool_result","content":"src/app/ka/KaHero.tsx:31:              Jase avec <span className=\"hl\">Ka</span>, il connaît chaque adresse du Québec.\nsrc/app/ka/KaHero.tsx:35:              Chat with <span className=\"hl\">Ka</span> — it knows every Québec address.\nsrc/app/favoris/FavorisClient.tsx:145:                  className={`absolute right-4 top-4 flex h-8 w-8 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[14px] leading-none text-lime transition-all hover:bg-green-deep ${\nsrc/app/municipalites/page.tsx:29:          <span className=\"hl\">{numFr(all.length)} municipalités</span> du\nsrc/app/parc/ParcClient.tsx:97:              La valeur de votre <span className=\"hl\">parc immobilier</span>,\nsrc/app/parc/ParcClient.tsx:103:              Your <span className=\"hl\">property portfolio</span>,\nsrc/app/parc/ParcClient.tsx:138:                    className=\"vp-mono ml-1 cursor-pointer rounded-full border-[1.5px] border-ink px-1.5 text-[10px] font-bold hover:bg-ink hover:text-lime\"\nsrc/app/parc/ParcClient.tsx:233:                  <p className={`vp-display text-[clamp(20px,2.6vw,28px)] font-bold leading-tight tracking-[-0.03em] ${hero ? \"text-lime\" : \"text-ink\"}`}>\nsrc/components/LegalPage.tsx:68:        <p className=\"klabel !text-lime\">\nsrc/app/carte/CartePage.tsx:28:        <span className=\"hl\">{fr ? \"estimé\" : \"appraised\"}</span>","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d1205f59-8c1d-4f01-8fc9-12b7fd849a4d","timestamp":"2026-08-25T21:18:44.474Z","tool_use_result":{"stdout":"src/app/ka/KaHero.tsx:31:              Jase avec <span className=\"hl\">Ka</span>, il connaît chaque adresse du Québec.\nsrc/app/ka/KaHero.tsx:35:              Chat with <span className=\"hl\">Ka</span> — it knows every Québec address.\nsrc/app/favoris/FavorisClient.tsx:145:                  className={`absolute right-4 top-4 flex h-8 w-8 items-center justify-center rounded-full border-[1.5px] border-ink bg-ink text-[14px] leading-none text-lime transition-all hover:bg-green-deep ${\nsrc/app/municipalites/page.tsx:29:          <span className=\"hl\">{numFr(all.length)} municipalités</span> du\nsrc/app/parc/ParcClient.tsx:97:              La valeur de votre <span className=\"hl\">parc immobilier</span>,\nsrc/app/parc/ParcClient.tsx:103:              Your <span className=\"hl\">property portfolio</span>,\nsrc/app/parc/ParcClient.tsx:138:                    className=\"vp-mono ml-1 cursor-pointer rounded-full border-[1.5px] border-ink px-1.5 text-[10px] font-bold hover:bg-ink hover:text-lime\"\nsrc/app/parc/ParcClient.tsx:233:                  <p className={`vp-display text-[clamp(20px,2.6vw,28px)] font-bold leading-tight tracking-[-0.03em] ${hero ? \"text-lime\" : \"text-ink\"}`}>\nsrc/components/LegalPage.tsx:68:        <p className=\"klabel !text-lime\">\nsrc/app/carte/CartePage.tsx:28:        <span className=\"hl\">{fr ? \"estimé\" : \"appraised\"}</span>","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e40cc609-4b5f-4e07-bb81-800de33377fe","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"e00baa66-0ede-4933-b8d1-e1b1b478d044","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"57812a4d-6b9b-44dd-82fc-9bf991bacf05","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATyD91sFGq6DEdXEju","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1112,"cache_read_input_tokens":220719,"cache_creation":{"ephemeral_5m_input_tokens":1112,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f1f56a63-c461-45f1-892f-160b243b5388","request_id":"req_011CeQATwr2vfNcnTA2iVrbQ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATyD91sFGq6DEdXEju","type":"message","role":"assistant","content":[{"type":"text","text":"Les résidus restants sont désormais cohérents (`.hl` = marqueur rouge, `text-lime` = rouge signal sur encre). Task 9 : build et vérification visuelle."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1112,"cache_read_input_tokens":220719,"cache_creation":{"ephemeral_5m_input_tokens":1112,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"eab93a02-9f21-4f0d-9eff-fc2e8e4d7e92","request_id":"req_011CeQATwr2vfNcnTA2iVrbQ"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATyD91sFGq6DEdXEju","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDhEqp968TSBeXJXWPfQmn","name":"TaskUpdate","input":{"taskId":"8","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1112,"cache_read_input_tokens":220719,"cache_creation":{"ephemeral_5m_input_tokens":1112,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"664fc2b9-b972-44a5-8540-145688232f33","request_id":"req_011CeQATwr2vfNcnTA2iVrbQ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BDhEqp968TSBeXJXWPfQmn","type":"tool_result","content":"Updated task #8 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6a796d4f-5a77-434c-9216-f39f74d4f6d2","timestamp":"2026-08-25T21:18:51.162Z","tool_use_result":{"success":true,"taskId":"8","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATyD91sFGq6DEdXEju","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PLyNeRfUTD3Nm1cQXQoKng","name":"TaskUpdate","input":{"taskId":"9","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1112,"cache_read_input_tokens":220719,"cache_creation":{"ephemeral_5m_input_tokens":1112,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6e6fb4f5-718a-414c-a7b1-6c585f7668ff","request_id":"req_011CeQATwr2vfNcnTA2iVrbQ"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PLyNeRfUTD3Nm1cQXQoKng","type":"tool_result","content":"Updated task #9 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"670956bf-8151-4450-b7c9-f37ecdc18ed9","timestamp":"2026-08-25T21:18:51.893Z","tool_use_result":{"success":true,"taskId":"9","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQATyD91sFGq6DEdXEju","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Pytoc2HM28GapdaR5jiJMF","name":"Bash","input":{"command":"npm run build 2>&1 | tail -30","description":"Build vrai-prix (next build)","timeout":420000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1112,"cache_read_input_tokens":220719,"cache_creation":{"ephemeral_5m_input_tokens":1112,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c9082268-f677-434f-98d8-2b4036c7fbda","request_id":"req_011CeQATwr2vfNcnTA2iVrbQ"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"beczcw6b8","tool_use_id":"toolu_01Pytoc2HM28GapdaR5jiJMF","description":"Build vrai-prix (next build)","task_type":"local_bash","uuid":"1df6a9af-cffa-4256-b94f-2f9aae2fb26c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"beczcw6b8","tool_use_id":"toolu_01Pytoc2HM28GapdaR5jiJMF","status":"completed","output_file":"","summary":"Build vrai-prix (next build)","uuid":"b2b0a457-7952-4ea0-b44b-5f96d4c658fc","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Pytoc2HM28GapdaR5jiJMF","type":"tool_result","content":"> vrai-prix@0.1.0 build\n> next build\n\n▲ Next.js 16.3.0 (Turbopack)\n- Environments: .env.local\n✓ Running next.config.ts took 12ms\n\n  Creating an optimized production build ...\n✓ Compiled successfully in 1201ms\n  Running TypeScript ...\nsrc/components/MetricViz.tsx(631,14): error TS18047: 'lastIdx' is possibly 'null'.\nsrc/components/MetricViz.tsx(631,56): error TS2538: Type 'null' cannot be used as an index type.\nFailed to type check.","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"73b84fa8-b475-4049-885b-b9d9e279c435","timestamp":"2026-08-25T21:18:57.079Z","tool_use_result":{"stdout":"> vrai-prix@0.1.0 build\n> next build\n\n▲ Next.js 16.3.0 (Turbopack)\n- Environments: .env.local\n✓ Running next.config.ts took 12ms\n\n  Creating an optimized production build ...\n✓ Compiled successfully in 1201ms\n  Running TypeScript ...\nsrc/components/MetricViz.tsx(631,14): error TS18047: 'lastIdx' is possibly 'null'.\nsrc/components/MetricViz.tsx(631,56): error TS2538: Type 'null' cannot be used as an index type.\nFailed to type check.","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"965061fd-48b1-4585-997b-833507f04cca","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"4cfff418-04a3-4f38-8925-54cf21b9e371","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"c45b0602-6cfc-4898-aa3f-f1a74a29f52d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":183,"estimated_tokens_delta":33,"uuid":"eb79a77f-2d03-4fc1-8e5c-89866c5bef23","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAUvM29LA8aZr1118tQ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":746,"cache_read_input_tokens":221831,"cache_creation":{"ephemeral_5m_input_tokens":746,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b8b60bd3-08ee-43d1-aea0-5d7f19a9ea4a","request_id":"req_011CeQAUsuvS1s2s6Tt1WB51"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAUvM29LA8aZr1118tQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BwxzBkUumJKCmsz6rHGBfi","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","offset":620,"limit":20},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":746,"cache_read_input_tokens":221831,"cache_creation":{"ephemeral_5m_input_tokens":746,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"96f12147-2f85-4d4b-9035-220bfe371629","request_id":"req_011CeQAUsuvS1s2s6Tt1WB51"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BwxzBkUumJKCmsz6rHGBfi","type":"tool_result","content":"620\t    (v) => v >= min - 0.5 && v <= max + 0.5\n621\t  );\n622\t  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n623\t  const yearTicks = windowMonths\n624\t    .map((m, i) => ({ i, m }))\n625\t    .filter((p) => p.m.endsWith(\"-01\"));\n626\t\n627\t  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n628\t  const ends = rebased\n629\t    .map((s) => {\n630\t      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);\n631\t      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n632\t    })\n633\t    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n634\t    .sort((a, b) => y(a.v) - y(b.v));\n635\t  const labelYs: number[] = [];\n636\t  for (const e of ends) {\n637\t    let ly = y(e.v);\n638\t    const prev = labelYs[labelYs.length - 1];\n639\t    if (prev != null && ly - prev < 15) ly = prev + 15;"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8c992425-53ab-4d2e-bede-7ee9101ba9ad","timestamp":"2026-08-25T21:19:03.358Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","content":"    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;","numLines":20,"startLine":620,"totalLines":1023}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8364b959-cab3-4383-9982-21467c9ad015","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2bb9492c-d020-4f3b-9f8c-ffe5edaa352c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"edbd64e3-2fc2-43b5-ad97-c3033a1ecd0b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"56725855-bff0-41e5-83ec-999f447af0bf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAVNSQviwZJManwaMEK","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":773,"cache_read_input_tokens":222577,"cache_creation":{"ephemeral_5m_input_tokens":773,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bcef7a3e-f5b6-4935-bf8b-5a4c2b307a17","request_id":"req_011CeQAVLnwjpbA5MZJBSL2k"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAVNSQviwZJManwaMEK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PvLgV71DC5iVFMnJbT4tzJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","old_string":"      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);","new_string":"      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":773,"cache_read_input_tokens":222577,"cache_creation":{"ephemeral_5m_input_tokens":773,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a9250e31-a6a0-4adb-91bc-bde263eb0393","request_id":"req_011CeQAVLnwjpbA5MZJBSL2k"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PvLgV71DC5iVFMnJbT4tzJ","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"58ac906a-58a2-484c-a186-1992d8bec170","timestamp":"2026-08-25T21:19:12.689Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","oldString":"      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);","newString":"      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur) */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            {labelYs[k] !== y(e.v) && (\n              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n            )}\n            <text\n              x={x(e.i) - 8}\n              y={labelYs[k] + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10.5\"\n              fontWeight=\"700\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink)\"\n              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n            >\n              {e.s.label} · {Math.round(e.v)}\n            </text>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","structuredPatch":[{"oldStart":627,"oldLines":7,"newStart":627,"newLines":7,"lines":["   // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)","   const ends = rebased","     .map((s) => {","-      const lastIdx = s.vals.reduce((acc, v, i) => (v != null ? i : acc), -1);","+      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);","       return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;","     })","     .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b44d3538-e872-47c6-9bb8-0ae72929f578","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAW5YCTqHRZvK6Zt5Mt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TWfnf5HHMXCTyAFbPw6A9D","name":"Bash","input":{"command":"npm run build 2>&1 | tail -20","description":"Rebuild after TS fix","timeout":420000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":591,"cache_read_input_tokens":223350,"cache_creation":{"ephemeral_5m_input_tokens":591,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"286b724c-266b-498e-bfe4-7f68193969ac","request_id":"req_011CeQAW2nkRgWLB5g9MxQhM"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bq8uewfzj","tool_use_id":"toolu_01TWfnf5HHMXCTyAFbPw6A9D","description":"Rebuild after TS fix","task_type":"local_bash","uuid":"1dbc2b36-56aa-4a27-bd82-0763586be299","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bq8uewfzj","tool_use_id":"toolu_01TWfnf5HHMXCTyAFbPw6A9D","status":"completed","output_file":"","summary":"Rebuild after TS fix","uuid":"0764f5db-5817-4111-9e56-8904b572e3f2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TWfnf5HHMXCTyAFbPw6A9D","type":"tool_result","content":"├ ○ /contact\n├ ƒ /estimation/[id]\n├ ƒ /estimation/manuelle\n├ ƒ /estimation/sitemap/[__metadata_id__]\n├ ƒ /favoris\n├ ○ /ka\n├ ○ /methodologie\n├ ƒ /municipalite/[slug]\n├ ƒ /municipalite/[slug]/[type]\n├ ○ /municipalites\n├ ○ /parc\n├ ○ /robots.txt\n├ ƒ /sitemap-index.xml\n├ ƒ /sitemap.xml\n└ ○ /stats\n\n\n○  (Static)   prerendered as static content\nƒ  (Dynamic)  server-rendered on demand","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"311f1e40-548a-467d-ac56-eeec12b71187","timestamp":"2026-08-25T21:19:21.977Z","tool_use_result":{"stdout":"├ ○ /contact\n├ ƒ /estimation/[id]\n├ ƒ /estimation/manuelle\n├ ƒ /estimation/sitemap/[__metadata_id__]\n├ ƒ /favoris\n├ ○ /ka\n├ ○ /methodologie\n├ ƒ /municipalite/[slug]\n├ ƒ /municipalite/[slug]/[type]\n├ ○ /municipalites\n├ ○ /parc\n├ ○ /robots.txt\n├ ƒ /sitemap-index.xml\n├ ƒ /sitemap.xml\n└ ○ /stats\n\n\n○  (Static)   prerendered as static content\nƒ  (Dynamic)  server-rendered on demand","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4a791b92-c3f4-46fe-8a28-9ac701ddb8fe","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"34f0c430-dfe7-4ae8-847c-0d43082614fe","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"5d3ac8cb-16bf-4822-a34e-0ee4c169370e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"52e5cb39-d32d-4f37-b0c3-c183baf7ed4f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":207,"estimated_tokens_delta":7,"uuid":"ee5966d9-65d8-4725-bc95-c32dfbc9fb51","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAWjtnG6vkGyQFusFaP","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":364,"cache_read_input_tokens":223941,"cache_creation":{"ephemeral_5m_input_tokens":364,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4aa12e85-05df-4f5a-a139-b2ea0ec72ab5","request_id":"req_011CeQAWiCqB4yc8zEoz8j7f"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAWjtnG6vkGyQFusFaP","type":"message","role":"assistant","content":[{"type":"text","text":"Build OK. Je lance une instance temporaire pour les captures d'écran (iPhone 390 px + desktop), et je vérifie la config pm2 en parallèle :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":364,"cache_read_input_tokens":223941,"cache_creation":{"ephemeral_5m_input_tokens":364,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8946da8a-2e79-4c8f-810d-af1df7af1fbc","request_id":"req_011CeQAWiCqB4yc8zEoz8j7f"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAWjtnG6vkGyQFusFaP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017gdV8bnSbsfBysEXKENexm","name":"Bash","input":{"command":"pm2 jlist 2>/dev/null | python3 -c \"import json,sys; [print(p['name'], p.get('pm2_env',{}).get('pm_cwd',''), p.get('pm2_env',{}).get('env',{}).get('PORT','')) for p in json.load(sys.stdin)]\" | grep -i vrai","description":"Find vrai-prix pm2 process and port"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":364,"cache_read_input_tokens":223941,"cache_creation":{"ephemeral_5m_input_tokens":364,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a952b46c-3671-43aa-b179-cc4161482455","request_id":"req_011CeQAWiCqB4yc8zEoz8j7f"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017gdV8bnSbsfBysEXKENexm","type":"tool_result","content":"vrai-prix /Users/simon-pierreboucher/apps/vrai-prix \nvrai-prix-ngrok /Users/simon-pierreboucher/apps/vrai-prix \nvrai-prix-ingest /Users/simon-pierreboucher/apps/vrai-prix","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"99e9d2af-d150-4474-a917-e98a6bda1960","timestamp":"2026-08-25T21:19:31.272Z","tool_use_result":{"stdout":"vrai-prix /Users/simon-pierreboucher/apps/vrai-prix \nvrai-prix-ngrok /Users/simon-pierreboucher/apps/vrai-prix \nvrai-prix-ingest /Users/simon-pierreboucher/apps/vrai-prix","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAWjtnG6vkGyQFusFaP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MkBk1vmYPtRWPT5Fueo25N","name":"Bash","input":{"command":"PORT=3999 npx next start -p 3999 >/tmp/vp-test.log 2>&1 &\necho started; sleep 4; curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:3999/","description":"Start temporary next server on port 3999"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":364,"cache_read_input_tokens":223941,"cache_creation":{"ephemeral_5m_input_tokens":364,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fc3542e0-5ae7-40ec-8d92-f4ccf9a7b450","request_id":"req_011CeQAWiCqB4yc8zEoz8j7f"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bizmivc7y","tool_use_id":"toolu_01MkBk1vmYPtRWPT5Fueo25N","description":"Start temporary next server on port 3999","task_type":"local_bash","uuid":"87955fad-221b-40c3-a0e7-c10a6d71f8a0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bizmivc7y","tool_use_id":"toolu_01MkBk1vmYPtRWPT5Fueo25N","status":"completed","output_file":"","summary":"Start temporary next server on port 3999","uuid":"16aec65c-2888-4284-8ed9-604ea03fcf6f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MkBk1vmYPtRWPT5Fueo25N","type":"tool_result","content":"started\n200","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5708a149-0b03-4170-bdc5-cfd76268a4d7","timestamp":"2026-08-25T21:19:36.306Z","tool_use_result":{"stdout":"started\n200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2e77e2d9-7ec3-4618-8c3b-b3a5284ae2df","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAXpbLGLfWR1qbKxkVi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bskk9D16Y5wNcPrnLnTTEv","name":"Bash","input":{"command":"mkdir -p /tmp/vp-shots && cat > /tmp/vp-shot.mjs <<'EOF'\nimport { chromium } from 'playwright';\nconst base = 'http://localhost:3999';\nconst shots = [\n  { url: '/', name: 'home' },\n  { url: '/methodologie', name: 'methodo' },\n];\nconst b = await chromium.launch();\n// trouver une adresse pour la page estimation\nconst ctx0 = await b.newContext();\nconst p0 = await ctx0.newPage();\nconst res = await p0.request.get(base + '/api/search?q=1075 chemin sainte-foy');\nconst j = await res.json();\nconst id = j.results?.[0]?.id;\nif (id) shots.push({ url: `/estimation/${encodeURIComponent(id)}`, name: 'estimation' });\nawait ctx0.close();\nfor (const vp of [{ w: 390, h: 844, tag: 'iphone' }, { w: 1360, h: 900, tag: 'desktop' }]) {\n  const ctx = await b.newContext({ viewport: { width: vp.w, height: vp.h }, deviceScaleFactor: 2 });\n  const page = await ctx.newPage();\n  for (const s of shots) {\n    await page.goto(base + s.url, { waitUntil: 'networkidle', timeout: 45000 }).catch(()=>page.goto(base + s.url, {timeout:45000}));\n    await page.waitForTimeout(1200);\n    await page.screenshot({ path: `/tmp/vp-shots/${s.name}-${vp.tag}.png`, fullPage: true });\n  }\n  await ctx.close();\n}\nawait b.close();\nconsole.log('done', shots.map(s=>s.name).join(','));\nEOF\nnode /tmp/vp-shot.mjs","description":"Screenshot home/methodo/estimation at 390px and 1360px","timeout":240000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":745,"cache_read_input_tokens":224305,"cache_creation":{"ephemeral_5m_input_tokens":745,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9bb8f338-356e-4056-bf8b-36fc55d08929","request_id":"req_011CeQAXmX3ELQGDAXwUn46g"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nnode:internal/modules/package_json_reader:301\n  throw new ERR_MODULE_NOT_FOUND(packageName, fileURLToPath(base), null);\n        ^\n\nError [ERR_MODULE_NOT_FOUND]: Cannot find package 'playwright' imported from /private/tmp/vp-shot.mjs\n    at Object.getPackageJSONURL (node:internal/modules/package_json_reader:301:9)\n    at packageResolve (node:internal/modules/esm/resolve:768:81)\n    at moduleResolve (node:internal/modules/esm/resolve:859:18)\n    at defaultResolve (node:internal/modules/esm/resolve:992:11)\n    at #cachedDefaultResolve (node:internal/modules/esm/loader:704:20)\n    at #resolveAndMaybeBlockOnLoaderThread (node:internal/modules/esm/loader:724:38)\n    at ModuleLoader.resolveSync (node:internal/modules/esm/loader:762:56)\n    at #resolve (node:internal/modules/esm/loader:686:17)\n    at ModuleLoader.getOrCreateModuleJob (node:internal/modules/esm/loader:606:35)\n    at ModuleJob.syncLink (node:internal/modules/esm/module_job:163:33) {\n  code: 'ERR_MODULE_NOT_FOUND'\n}\n\nNode.js v26.3.0","is_error":true,"tool_use_id":"toolu_01Bskk9D16Y5wNcPrnLnTTEv"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"643f08c3-d37f-409a-8ba0-a3dbe57c6a34","timestamp":"2026-08-25T21:19:46.420Z","tool_use_result":"Error: Exit code 1\nnode:internal/modules/package_json_reader:301\n  throw new ERR_MODULE_NOT_FOUND(packageName, fileURLToPath(base), null);\n        ^\n\nError [ERR_MODULE_NOT_FOUND]: Cannot find package 'playwright' imported from /private/tmp/vp-shot.mjs\n    at Object.getPackageJSONURL (node:internal/modules/package_json_reader:301:9)\n    at packageResolve (node:internal/modules/esm/resolve:768:81)\n    at moduleResolve (node:internal/modules/esm/resolve:859:18)\n    at defaultResolve (node:internal/modules/esm/resolve:992:11)\n    at #cachedDefaultResolve (node:internal/modules/esm/loader:704:20)\n    at #resolveAndMaybeBlockOnLoaderThread (node:internal/modules/esm/loader:724:38)\n    at ModuleLoader.resolveSync (node:internal/modules/esm/loader:762:56)\n    at #resolve (node:internal/modules/esm/loader:686:17)\n    at ModuleLoader.getOrCreateModuleJob (node:internal/modules/esm/loader:606:35)\n    at ModuleJob.syncLink (node:internal/modules/esm/module_job:163:33) {\n  code: 'ERR_MODULE_NOT_FOUND'\n}\n\nNode.js v26.3.0"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"26c31145-9a27-4175-8473-11268dff650c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAYaUnjeaXtnhmWT3A2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015mv61GDuPNe8Gz9Q6iS85S","name":"Bash","input":{"command":"cp /tmp/vp-shot.mjs ./vp-shot.tmp.mjs && node vp-shot.tmp.mjs","description":"Run screenshot script from repo (playwright is a devDep)","timeout":240000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1222,"cache_read_input_tokens":225050,"cache_creation":{"ephemeral_5m_input_tokens":1222,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"723b658b-6f4f-44d6-bbfb-52487d5da904","request_id":"req_011CeQAYWmJSJFEQYkVxjZyJ"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bqtmwmzgv","tool_use_id":"toolu_015mv61GDuPNe8Gz9Q6iS85S","description":"Run screenshot script from repo (playwright is a devDep)","task_type":"local_bash","uuid":"2bfce01e-26a6-4338-9fb1-90d0da875fad","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bqtmwmzgv","tool_use_id":"toolu_015mv61GDuPNe8Gz9Q6iS85S","status":"completed","output_file":"","summary":"Run screenshot script from repo (playwright is a devDep)","uuid":"5c118a69-afaf-4020-80ea-fbdd19a902c0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015mv61GDuPNe8Gz9Q6iS85S","type":"tool_result","content":"done home,methodo,estimation","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"60d26c68-8b04-45f2-b7ae-6e63f2e9552f","timestamp":"2026-08-25T21:20:05.876Z","tool_use_result":{"stdout":"done home,methodo,estimation","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"dddb642e-9f9a-41b4-81ad-c087f0ecf0c3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAZySh5csRqj2AYGLvn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DC3ugoPdMtL5ZjRVpe4tkb","name":"Read","input":{"file_path":"/tmp/vp-shots/home-iphone.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":171,"cache_read_input_tokens":226272,"cache_creation":{"ephemeral_5m_input_tokens":171,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e1eebd48-9d0f-4394-bb80-86b9fed39d7a","request_id":"req_011CeQAZwtvZoACppSxZ7sZA"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DC3ugoPdMtL5ZjRVpe4tkb","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9280fd84-fb64-4a39-b5b1-8c7d64123434","timestamp":"2026-08-25T21:20:09.252Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":1235367,"dimensions":{"originalWidth":780,"originalHeight":12752,"displayWidth":122,"displayHeight":2000}}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"[Image: original 780x12752, displayed at 122x2000. Multiply coordinates by 6.39 to map to original image.]"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7faaa4d6-e1dd-4b81-a8d1-35f2e5135430","timestamp":"2026-08-25T21:20:09.251Z","isSynthetic":true}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"695a2ed5-599a-4ad1-bbc3-22cb92f69d8d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"4e9f0379-4ab7-4e17-b4f3-fe670adea86e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"94723dde-917e-4538-a542-73a0dac8ff53","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":156,"estimated_tokens_delta":6,"uuid":"40722152-2f86-4ea3-b1cd-80e67f5d4ecf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAaEWZ45auXn53eRTBM","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":488,"cache_read_input_tokens":226443,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5e2122c0-a352-46b0-b495-a83377e1fb5b","request_id":"req_011CeQAaCMKrJAarhqXRS1wi"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAaEWZ45auXn53eRTBM","type":"message","role":"assistant","content":[{"type":"text","text":"L'accueil mobile a fière allure. Je vérifie le desktop et la page d'estimation :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":488,"cache_read_input_tokens":226443,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3117e986-ffeb-4b3d-a346-9be014af42e7","request_id":"req_011CeQAaCMKrJAarhqXRS1wi"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAaEWZ45auXn53eRTBM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013qDWfaX9Azdy9hn9L67sQ3","name":"Read","input":{"file_path":"/tmp/vp-shots/home-desktop.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":488,"cache_read_input_tokens":226443,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"aef2da70-e628-439a-bdbc-b8542cb4dee4","request_id":"req_011CeQAaCMKrJAarhqXRS1wi"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013qDWfaX9Azdy9hn9L67sQ3","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8b2534eb-0cdd-493b-a6fb-9415a8acb39a","timestamp":"2026-08-25T21:20:15.827Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":1411628,"dimensions":{"originalWidth":2720,"originalHeight":9396,"displayWidth":579,"displayHeight":2000}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6fd9055c-6d15-41a1-b7a7-145ae51142db","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"[Image: original 2720x9396, displayed at 579x2000. Multiply coordinates by 4.70 to map to original image.]"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c3cc40a4-aa35-4f5f-a3f0-806beb62d794","timestamp":"2026-08-25T21:20:15.826Z","isSynthetic":true}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"499d0afe-0ff4-4b01-b1b5-a5443a711a84","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"6883a59d-4106-4b4b-811a-92fbd3dc7438","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"1a455e9c-a82e-452c-94fe-c8826dc3fe0e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"67c2e489-4b21-463d-ba6a-16bc1bff78b7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":50,"uuid":"4b94b188-c998-4aa0-a926-418cdc4dcca0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"f2ee0ee1-7809-4d11-b172-a5114acd298b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"4d135040-73dd-4d73-bd40-5b16d12ae227","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAak35GfXsbjCyju7Td","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISoQwKpwEIERgCKkCkT/7hnp2kkVzZ0T355vr0eaWByDrD3zuBQlgcsoIC0fYydhNbAo/1pzVwoUwKK8BocIAjFD+3ujqlnZmPw0XLMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGfjrjUBrABAhIMDpjUXhWMiEkwZg43GgxzUZDDrSe/utKuWqIiMEM2BAjAg3bcB1qQFuW6ZbcH+gNDtqVufFQb1jVAAT1jEZcjH3b9+Ewuh6+wxuvZwiqmCkJLW5YNlIUTy1xssiTBBeFJvfJ3LIv7icJCW8elJWqF0NfgB0aqYL2DPObH6w5fblgUZDyiv1z/oLu6oIAe9+iGOonQllvhLJiNvdijRJkDtwrjdB4PvadeDkkjbKgyF4S0DwD+t8a9sgGve93EEHr+j0zKHTjHICJ6JXM0q5eFuBAeXOSzKMHL6L12B/pIDsBz+sUAvfCpxpWXqbV4CHIrOZGtxlI1+K36H6PupF4MO+R6ClHDAZ33STG/97N78I4q9DibZ205QiFkF6GqOj0GLZIA88J6UxCgsmgG1yVaI9uL8zOftz/9ExO7BzxhZmCgfTroPPIe55bqoottzVAo/ZnkidK8D7dni5/I/wtsno6GOTJgtCf8p9ddIRByEjHFDEMspio4MOfYK+2peb07WCeSEFoiDAGgH6xPr6u4H71bK5bn9uaDy2x/xnp62x1nlX2/Ez35z8ILm+5uKS92qttoggU1A6vUR7lJRez4bVbIXCwvQQHLmvhKhbT6HQY+jsrZIK2MMWwYYBQbW3+pfrsHGSvAEY0zC+uyFfnmIvlRBUxWRb0rg54rZMdZ9tMiF9v3MrItZNAc7pBvR1AL6UzeldC0BlU75cHIoWC/Kvxz0aHJVOb36LJG8cKv2QwK0/9q3t7U2TGuPu3TiimdGK+NtR/vbE7i8wSZ8XiTJAFXeyntK8DjKk3Mc99p1+4hmq/uc6UnajG+3+vzhgKDHJPOEnCSSwXWiy0gfvrw4/EkstDGRKbae7m2VYvR5IeQTBN4M0bwdyZMzbND3GyUht+AL4npne8tSQVM86uPz3XLOksVptBHF3tvSH691t7ORnnMOe63ItI4hiZ9ZSCbEX7evMguA+mtGWjPgv48iFOUKd4O6jwebei1UYeCrkzYfVK3Lb3cujhu4ba1V55KjMF2rSc7PQVdhx3XzEG9BOjb0vWDxt9NPCqo313hkH73weQZFH9DjqhIe+w9L0MUNarjrslKy0OAkSMXd7xHow+XKsvS3OkBYpwuoLDYLf05CMN1mNk+aaB06wCE569qqgWd+wxhbW57CrA+uGicki5P2lvFUaEBia0DsM0amnxlkHHIrYPPJk6ziMUZooxQZYgtLpbiIi9n394sQyZqt8YsFECZkWeebbvpJ5jgF2OPnulcgmoUULhn75CMR7kAs6o2Z1cu4KcVDt7XNfWHsR8Uhqdw94GpXC/tPJcIOfBY1aMjYqMbnbHsvSd0ruh0xL5UHLHnq4wCy4qb3BgfXzpCyL/PwOMNNIjuFNqZDrcFsqC6r4NGyYnUeKTORWTa5cfa0XbAgC+YVIuk02PjyzMbLc7nkA9/xhOgaYVfsVZC88Bvs5/Lu9SU0SOYrrZooC6+xK7GqS/pNfda4JqZK7OrihaJe5IqnEiEWqqTCg23RZLtITwUQbztOkCyY7bvJ8U3LG6XR16ywnfOcN9sm64L/WeK67XoIA3nziYXaGud40Cc3Ycat2z247Ijv8it7hHm1AaQDAzE3qUwnZ3v76HfOe5wAk/aVmFmZ/hBHfSY2EW60zfwnl+sdLjXOtPVP/jVE1OuSAaNdu/CWfnNRAsbCaogtYXG6RicgpW7noBl0BDWdXokFCKThV8aukgPWF/Hat8/LFUR7apELzftuWRgWtO9QD8DKHjBjRnW5YhSWIb352Lp7UftjD+UzCN1lsKSngQ69Pv8Icf5Xu6/+/2aEk+iT73ZkBYEbiBXYPIYHkoDSYJ9R9TiSNH42WcX6RSIQvMYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2197,"cache_read_input_tokens":226931,"cache_creation":{"ephemeral_5m_input_tokens":2197,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f185f48e-100b-4894-a79c-e323c75f6acc","request_id":"req_011CeQAagTmGuiMK1M4NYwVF"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAak35GfXsbjCyju7Td","type":"message","role":"assistant","content":[{"type":"text","text":"Desktop excellent. Vérification de la page d'estimation (l'écran le plus important) et de la méthodologie :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2197,"cache_read_input_tokens":226931,"cache_creation":{"ephemeral_5m_input_tokens":2197,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"174f826b-6d28-4ecf-914c-4b737d632f09","request_id":"req_011CeQAagTmGuiMK1M4NYwVF"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAak35GfXsbjCyju7Td","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016tqMHwgfRZvBSEw3Trwo6Q","name":"Read","input":{"file_path":"/tmp/vp-shots/estimation-iphone.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2197,"cache_read_input_tokens":226931,"cache_creation":{"ephemeral_5m_input_tokens":2197,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2b78dce0-23d6-4d14-bbea-08d4af281f40","request_id":"req_011CeQAagTmGuiMK1M4NYwVF"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016tqMHwgfRZvBSEw3Trwo6Q","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"58074143-2ba5-494b-907b-8e673ea352ea","timestamp":"2026-08-25T21:20:31.460Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":1502347,"dimensions":{"originalWidth":780,"originalHeight":12838,"displayWidth":122,"displayHeight":2000}}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"[Image: original 780x12838, displayed at 122x2000. Multiply coordinates by 6.39 to map to original image.]"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"93720690-70f2-40ed-9199-1a91d3786a85","timestamp":"2026-08-25T21:20:31.460Z","isSynthetic":true}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3dfb798d-ac29-49f2-b062-1dedd8fd7561","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"17ba9e32-1097-4f04-9295-cb1d0db86846","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"8f084761-d40d-4b56-8513-50c92d309b0a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"fe394d77-8365-42e9-a128-8a9c16be938e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"aaf2c350-8fe4-4b20-bd98-6a5ed10ab16d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"f8ac9dc5-5ac2-41ac-b8b8-1a6461b3fb6b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":50,"uuid":"4bc7d863-6b35-4dfd-87f0-26178207a3cc","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"e25139c1-e4be-4be0-9e37-ccb04b5d6bb2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"de7ae754-c5d3-4faf-8d71-30e4e7859a1d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAbskh53cGb9aXbLSav","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1108,"cache_read_input_tokens":229128,"cache_creation":{"ephemeral_5m_input_tokens":1108,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"04412f81-5c3a-4a41-be77-098adac30956","request_id":"req_011CeQAbqLb4GUF7eSu4V678"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAbskh53cGb9aXbLSav","type":"message","role":"assistant","content":[{"type":"text","text":"La page rapport est conforme. Méthodologie mobile :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1108,"cache_read_input_tokens":229128,"cache_creation":{"ephemeral_5m_input_tokens":1108,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7a25b9ee-536e-4788-aa98-a2af3cb28a09","request_id":"req_011CeQAbqLb4GUF7eSu4V678"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAbskh53cGb9aXbLSav","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PAEwDjxmoMSB1CVE6CzfBm","name":"Read","input":{"file_path":"/tmp/vp-shots/methodo-iphone.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1108,"cache_read_input_tokens":229128,"cache_creation":{"ephemeral_5m_input_tokens":1108,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4f26f30a-fbf0-4190-901d-8c776f1779f1","request_id":"req_011CeQAbqLb4GUF7eSu4V678"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PAEwDjxmoMSB1CVE6CzfBm","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"iVBORw0KGgoAAAANSUhEUgAAAGMAAAfGCAIAAACML5cRAAQH1UlEQVR4Ae3AA6AkWZbG8f937o3IzKdyS2Oubdu2bdu2bdu2bWmMnpZKr54yMyLu+Xa3anqmhztr1a8e7l/g/wTbrTX+NUopknhRQOX/BNt933ezLTAvsnF9OAyDJP5FUPnfz/ZsNnvyU57yQz/yo11XbcC8MJIYp+nd3umdHvawh63Xa0m8cFB5gMyMiMyMCO6XmRGRmbYlRYRtQBL/tWzzAJK4LDNrv/iLv/yrz/vcL5xtzqbWJHE/20BE2JbkTEMtZX24fuyjH/2ox7z4crkspdiWZBuQxHOBygNsbm6uVqvNzY2Dg8OIsC1pPp8Pw7C1uUlEtnZwcLCYz1vmOI4RIQkbQOI/k6RSim1Aku3M5Nnc993GzsaJEydaa9M0AYCkUgqwWq1qreM4zmaziCgRu/VS3/WQXNZ3XcuspaQ9TRPPBSoARMRyufzpn/u5N3r91/+pn/nZd33XdxnX61LKMAw/8dM//VZv/ubf/O3ffuedd73Zm7zxK7/Ka/76r//Stddc8xIv+XLTcLher6NWIjxN2PwnsF1rvXjx4pOf8tRSCqJN08mTJx/+sIdN0ySJy2xPU5umqbV28uRJZ0Yp6/X60qVLEfFSL/mSZ8+ePX369FOf9rTlctl13TRNxiDbXa1///gnzOez9Xq9tbl50403ZiYPBBUAWmvb29t/+7d/t7O9/Zd/9Vf3nb3vQbfc8vgnPPFlXvqlLly4ME3TX//N3958041f+TVf+xp/8Rer1frkyRO33X77wcHBm77Jm3BwkOt12dmhFGz+o0myXbvuxInjIQEtc3Njw7YknlNE7O/vf9SHf9jf/O3f3XjDDefOn//Jn/7prutuuflm8Ku/6qtGxJ//xV/MZjPuZ1NKefozbn3kwx/+9497/Gw+e9hDHnJ4dBQRPAsEALTM2s9f4sVf7Hu+//sf9rCHnjt3LtN/8qd/+uM/+VO33XY70uHh4cZi4y3e7E0vXLi4vb21ubH5OZ//Bbffdtv2zqlzX/OVd7z+a093362+J5P/aAbAmev1ehinoeXQ2pTJ82O77/s/+dM/29/fv/2OO86fPz+bzSJimqZhGO+9775z586VUmxzP4mptUc94hF937/qK7/Siz/6McM4SuKBoAJARLRx/dIv9VK/9wd/8Mqv+Ip333PPbDZ79KMederUyRPHjwte8zVe/QPe/wOe+pQnnz59+sTx43/7d3//CR/7Maujo8PxaPHIR/s1XlPzOZlI/EcTZOb29vbLvtzLtYsXhqc9TUC25Pmw3XXd7/7+75dSWmuS+r63/Wu/8RvAE574RKDve9vcT9I4TY982MPSliRpGAZJPBDocP8Cl9mutc7m82G1khSl2C4RLXMYhtlsdnR0VGuttdoG+r6fpmm9WsVioa7LoyMy+c+UNplkAgqpVC5rrW0fO/GjP/rD7/MBH3jixIk2TYqwLQnITAkQz2KXUi5euvS93/Edb/d2b7d/abeUYpv7SeK5QOV+kqZpGvf3JQGMI2BbkqTlcllKycxhGLhsGAZJivBq5eWSCP6ThUQp1MoVNs+mcRyP9o5aa601/iWllPXheppGEJdJ4oUAHeyd5385233fP+O2237+F3+p1oIxL4wA0Vp7izd905tvumkYR0m8YJIADat9/pcTpN33PTHjX6WthnEMybww4zgC9c677uL/BNutNf41SimSeCFsRZw6eTIidPODb+Iy20jiASRsJGyDJNvYkhA2gMAgMAjMswkMkrCRbEvCBsy/TBK2AZBkG1uSQWCQZBsbCZCEDQBI2Ei2JdkGJGEbAEm2uZ8k25JsYyNJCI3TdPzYsV//5V86fepUPX/hAmDTdTUzMxMwCNIW2I6IiJimqdYaEdM02Y5SsG1HRGZKsi1Jkm3AtqRpmkopmRmlZGZIQCmFf8kwDKWUiEg7W+u6Dmkax4jIzIhombUUSZkJZKYk2xExTVMpxbaktLtagXGcFAoJaK2VUiTZjohxmiIiW6u1RsTUWmaWiHEcM9OZkuq1116LHRFnz52bz+cbG4tQSLK9WCwyU2JjY/Po6Ai4ePHi0XJ57bXXdLXb29/HvuH664dxOH/hoqRayziMU2t939suEdM0XXfdtRd3d7c2Ny/t7W1sbKzX60zv7e1J4n4GQDyb7cc+5tG7ly5durS3ubm5s7115113Z/qGG65frdaL+fzw6OjYzvbF3Uur1WpnZ9tmZ3trai0zx2E8ffrUpUt7s9nsaLmcz2f33HOvpJtvunH/4ODG6284d/5813f7e/ur9XrW98vV6uabbjw8PNrY3Lhw4eJyuTx18sTGxsZ6vc7ME8eP166zXV75lV/hlptvvubMmcc9/gknT558yRd/8RMnjr/yK7/i2XPntra2MvP48eM33Xj9fWfPvsSLv9iFixcvXNh91CMf8ZAHP/jc+XNRyku8+Ivde+99L/eyL52Zr/ByL+vM9Xr9kAc/6MSJ4y/+Yi+Wzu3t7f39/Ruvv342mz3o5psf/rCHPejmm//hcY+vtdoOcTC1tz196tEbi7/cP5iFbCRN0/TgWx60ubF4+MMfVqM86lGPuO32O46Olg958IPms9nOzk7fdS/z0i99cHhw1133POqRj3jEwx925vTp9Xr9Gq/2qqWUiNja2rr+uuuGYXjEwx/+tKc/XdKbvtEbbW5sbGxspPPmG29ETNN004037h8cvOIrvPy58+df7LGP2d29tLu7e/zY8Yc+9MHXXXPtNWfOtNbe/V3epe/7cvzkiYPDg6Ojo3Pnz0s6c+b0nXfdvVwuj46OSin33Hvf8mjZdd2lS3ullP39/YODg52dbcNTn/q01Wp18uTJ++47a7i0t7darsdpXCzm4zhGxMWLFw8PD89fuLBarY8fP3bx4m6UuPPOu6ZpvOfeeyMCQAppd5ruGIaVHRIgybZC9953djGbX9rby8yLu7vDsD5+/FitFViv1/fcc++58+dba6Fw+tLe3jSNu5cuHR4e3n33PcMw1q6eP39hPp/fe999EcrMc+fPA3t7+9hHR8tjx3Za5mIxH8bx0qW9UuLg4HB3b+/MmdM16oWLFw4PD48fP/6Ob/92tVZtn9i2LamUYru1Jqm1VmuVBNgGIqK1JikiMjMza61Aa62UMo5jRGltKqWUUlprQGutlCJJkg3Ytm3bXdfxAKMNdBIPkJnAOI5d19lIRIRt7tdai4iIyMzWspSIiHEcJUUEgBTSNE2lFEnjOEaEFICE7YjIzIhorZVSWmtIJcK2bWAcx5MnT/7J7/3uNddcU0sp3E9SrRWotdrmMklcVkoBbEdERHBZKcV23/e2a53ZBkopQK3VNgBIgLhMkm3uZ+gkwCCeLSKA+Xxum/tJ4n61VsB2RJQSNkDf97Z5gForl/V9b5v7SQIiAiilGEopgG1JkiTZjghJ2PW3f+1XueoFsF1K2d7enlpTG4+46gWzPQyD7Xp0dMT/SwbxLzAIIgKoknjRSLItyTb/Ekm2eRFIAmxLss2/RJJtXgSSANuSbPOcxHOTZJsHEPeDACRxP0mSJEniMkk8gG1JPD+SuJ9tQBL3kyQJkMRlkgDbXGZbEs+PJO5nG5DEZZIkSQIkAYAkwDaX2ZbEv8Q2IInLJEmSBAAhyTb3s23btm1JkrhMkm1JgG1AEiCJ+9nmASTZ5n62bQO2JUmyzWW2JQG2xTNJ4n62AUlcJsk2l9m2bRuwDUiyDQC2JQG2JXGZJJ6TJECSJNtcZts2V0AAkiTxAJIA27ZtA7YB2zwn2zyAJB5AkiQeQBJg2zYPYJvLzDPZ5gEk2eZ+kiTxAJK4zDYPYJvLbHOZbR5Akm3ANiBJEvezDQDVNs9Jkm2ehyTb3M82l0myDQC2uZ9tHkASYJvnIck2z0OSbS6zzf1s8wCSbNvmeUiyzWWSbAOAJNtcZpv72eYBJNkGgOB52Ob5sc3zY5sHkCSJ52HbNs+PbUASz8k2DyCJ58c2L4BtQBJgm/vZ5gEk8Twk2eYKCO4nicskcZkkSZIASZK4TJIkLpPE/SQBtm1LksS/hm1eAEmAbUAS95PE/SQBknhOkmzzIpDEA9gGJAFA5X62I8K27YgAMjMzI0KSbUmSANuZWWu1bRuQBNiWVEs1Xg9DSF2taUvCRuIBbNsuEbaRMjMibEtqrfGcbHM/29zPNgBI4jLbXCbJNmCbf4ltwDYvCFQAkNRau+/c2RLl/MWL15w+vX9wcM2ZM3fdc/ctN97Udd25Cxcu7l6czWY2G4tFZkpgrrv2WtvL5fLg6OjaM2dW6/Vtd9yxtbl5aX//1IkTFy9dOr6zA6Q9DEMpBSgR4zRuLDa2Njdvv/uuzY2N1Wq1vbV9cXd3e3trb2//+muvLaXY5l8iCbBtG5BkG5DE/STZ5gEk2eaFkgTY5gqoAGC77/sLF3d3treXq9Xh8ujs+XNbW1ullJZ5tLe3Wq0W88V6GIZh2NrcDGn/4AARCpMX9y5tbmxIaq3dfe+9x48dk1gsFnv7+8vV6o677zp98uQ0tYiwLTAsV+tZ3x8cHA7r4Wi5rLUDVqvVweFhLSVtXgBJtgHANiAJsG2b+9nmBbDN8yPJNpfZBiRxBVTul5m33HRjLfXUiRMt89TxE4hpmmopG8eOz/p+NpsNw9Ayh3HIltdde21mTm2yLdjZ2m7TVCIe+6hHZeb+wYEzjx87FhEP6x8MrIehlAJERGa21g6Pjra3tjYWi67rainAfDbf2tqcMkuEbZ4f2zwn25J4Fsk297MtybYkwDYvgG2ek21JAKDD/Qu2JdkupdjmASKitWY7IjIzJCRJgG3AmQZAkm1JkrjMtiRACIzEA5l0RoTtkNIWGIDM5DlJsi3JtiTbvFCSbPMikGRbkm1JtnkekoBqW5JtoLXGc8pMQFJmAmlj85wkAbYl2bbN/WzzQrXWgORfwTYvmCTANiDJtiTbvAhsS7LN84IAbAOSJAGAJACQBNjm+ZEE2LYN2Ob5kSSJyyTxIpDEA9gGbPOcJEniMkmAbdtcZhuwzQNI4gFsA7YBwDaXSZLEs0Dlfra5n20AsM0LIMk2LwLb3M82L5QkwDYgyTb3k2SbB7DN/WzzQkmybRuQZJv7SbLNA9jmgSC4nyReNJIA27wAkngASbxoJNm2zWW2eQDbkvg3kWSb+9nmAWxL4oWA4H62edHY5vmRBEiyzQPY5kVjm+dHEgDY5t/ENs+PJC6zzQsBwf0k8a8nifvZBmwDkvj3kcT9bEviP4gk7mdbEv8iCEncTxIgCZDEv0QSL4BtSVwmSRL3k8S/RBLPyTb3kwQAkiRxP0n8SyTxnGxzmSRJXCaJyyQBQLUtCbDNZbYl8Zwk2eYBJNnmhZIE2OZ+knhOkmxzP0m2bfNCSQJscz9JtnkASba5nyTbtnkBbEuSBNjmgSAA27Z5ANtcIXGZndiSJAHYtrF5FpsHkmzbti0Jm8tsA0jY2IBtABvAto0NYAOSeB62bdvmAWxL4jlJAiTxPCTxPGzbts39bANABQBJtrG5n20kbNXqaVLXAx5HQKVQK8NA7cgG2I7Z3NOIhA24NSRsSbY1m5GJhO1pAtT3ADaXqVaPI7UyjnQd40jXMY7ORMLmeUiyzQPYBgBJtm1LAmwDtiXZlmTbNi+AJNs8EOhg7zyXSaLvBQaBweu1Itrubjl2bLrvPg9Dd/PNQB4ctPvurQ96UO7uxuaWW9N8Pj79afX6G7xaadZjx/aOM7lMpYy3Pj02t8DUGseOq5Tp7ruYmjY2sMls587Wm26a7r673njTdPdd9brr27331htv1GzmTP6VJNnmfpJsS7LNv54kIABAklsbHv+49T/8/fC4f1j//d8NT3wCmdS6/ru/IWL9V3853X0Xtarvhyc8Pg8P2z33HvzMT4933N7Onm1n75vuuiv395d/8PvDU586PPWpdJ0iuEJa/sHvexgOf/3Xjn7919R16rrVX/x5O39u+Ie/2//xH/E0jbffTpTpjtvbffeu/+av82B//8d+uF28QK3YvACSeE6SANs8gG3ANg8giRdMEg8ElWeRyvETdgrZVgkASX0/POUp9frrATJtyslT7dKund3DHk7EdOcd/aMerVI0n6vv6jXXDk94XF64MN15R33Qg2OxAOoNN5A5e+yLtd1dbLes115HKfVBD87Dw9je7h/1aDIpRRsb5eQpdf38FV5Jiw0ykXgekgDbPIAkHkCSbe4nyTb/Ekm2bXOZJADQwd55SbaRVCsP4GnCVoSnSbW6TUTBVimeJtVKrYyjp0ml2qkIJMCtYefBQWxvIwGSPE2azQCPI6AIT5O6jlI8jpKcia1SnImkvvd6zXOSZBuQZBuQZFuSbe4nyTb3kwTY5kUgyTYgybYkANDB3nn+JZJsS7KNhC3JNjaSJNsCcz9JQIQzsblMkjORJNkGkLCxkQAkgW0kbGwkQJJtSYBtXgBJgG0eQJJtQJJtnpMk25IA27wAkoAKSLIN2JYkybZtSWljR4SkzJSEnZlARCDZBiTZzkxAErYhbMC2JKC1Jikk27ZtS5JksC3ANtgGJEmyDUgCWmuSJGWmJEBSZkqSZNu2bUm2JUUEYFuSbdtcJsm2JNu2AdvcTxJgm/tJAoDKAywWi2EYWmtd19VSjpbL7a0tSrc6OhjHcWNjYxzHcRy3t7eJujzcz8yNxWK1Xtuutc76HgnI1tJerVaSNjc3V6sVsLm5OQzDOI62Z7NZN9uYhuV6vd7a3nIakDQMQ9d1koBhGLpaM3O1XkfExsZGa61N02xjAwkY1uuu71trwzDMZjPs2vfZWkQ482i55PmxDdjmASTZBmxL4nmBDvbOA5JsP+3pT7/+uut2dnbOnz9/cXf3sY95zB/98Z/cfc/dr/Fqr3bq1KnHPf7x15w5c82ZM3/wR3909ty5133t1+667klPfspDHvyg2Wx24eLF2267bRzHUsrGxsbGxsaDbrllHMcnPPGJD33IQ5Ae//jHX3/99ddde+1sNrv1Gc/487/4i5d56Ze+5eab/+TP/mw+m0sMw3jDDdefO3d+vV4Bt9xyy9mzZxeLxcMe+tDlcvmkJz/52LFjx3Z2bn3GbdM0Srrl5lvuufee7a2tm2666bbbb6+13nPPvVtbm8vVaj6bPebRj7YNSLLNc5JkmxeNJEAHe+eBzNw+duyN3uRN3/LN3/zDPuyjPuGTPvbg4ODhD3vYt3z7dzz0IQ+5+567f+4nfuI93+/9PvkTPuEv/+qvvvcHfvCG66/LzK/80i99nw/8oJ/60R956MMe/e3f/s2f8hmf/nIv+3LA2771W33V13ztX/zxH/34T/3UV3711/z1X/zNt3zrN3zyp33667/u6/7Yj/zEr/3aL37oR3zkox75yKc87Wkf/sEf/Fu/+zt/+3d/n6291Eu95Eu9xEt+23d+52Mf8xjsd3yHt//sz/v8G66/7o9+93d/7Td+463f/h3e9q3f+g1e73U/4VM+9eVf9mWjlLd+i7f4rM/7vIc/7GHf/W3f9t4f8AFv8kZv+Eu/8qvPuO22E8ePv9IrvuLXfMWXZyaXSbLNv0SSbZ6HJCAASbahe+VXeqU//JM/Bv727/7+4Q97+Pf/4A99/3d95y//wq/ccvPN3/k933vNmWtuv/32H/7RH/uh7/2e3/y13z5x/MQf/+mfbm1u2gYOjw5f/dVe/Zd/4Vd+7Ad/4AM/4ENf/dVe9SM+5mO//Tu/67M/49OBX/6VX/2Yj/zIe+695+L5e77tO77zrd/yLX/+Z3/xA97nff7yr//qJ370p97mLd/y9V/vdX/yx376uuuufcmXePFf/aVf+dVf/qVHPeIRD3rQLRsbm8+47bYnPOGJL/syL7O5ubm/f/Dar/mav/yLv/qLP/dzN9904yMf8fDNzY0nPvlJbZre/m3f9vd++/euv+66r/yyL/3Wb/62aZoASYBtSTw/krifbUASl0mSJAkAQpJtSTC++qu96q23PuPsvXdcvHjxxR77mMVifs011wCPefSj9w/2I2L/4ODUyZOnT5/ev3Tup37iZ974Dd9wb2+vRABbW1u/+/u//+qv9Wpv987vsnvh3s//7M/+zu/87u3t7bd+63e4+65nPOO2297/fd77+PETf/Qnf9L33aMe9Uja6iM//MO+5Ru+AZCUaWBjsfGnf/bnr/oar/ZWb/u2Z8+dO3Xy1A3XX//Xf/M3t91++4u/2GPX6/X29vZv/c7vvMqrv/I7veu7XNrfP3Hi5EMe/OA//4u/mC8W0zTR1uBpmvAIALYlAba5nyTuZxuQBEiSZJvLbNvmCqi2JUXE+ujoJV78xWstP/sLv3Dy5MnHPvrR950919UKXLx48fjx46WUWT/b298vEdvHTn/u533WLTffdOzYscwElsvlq77yK/3Ad3/3xYsXj5+89iu+8kte4zVf/cKFC09/6hMu7e099WlP+4AP/bA//pM/ea3XeHWb3d1LlPmv/vJP//Gf/Onnfe4XgiMCWK1WL/eyL/ND3/u9EfE3f/d3gpd48Rf7wz/+k91Ll17ixV/8z//yL1br1au/6qt+93d8e4n4/T/8Q/DLvszL/Mqv/lqtFUCKKJIQz2Kb52SbB5BkG7AtSRJgmweCCtgGhnG87vrrb7rxpk/8lE99z3d7t1se/IhHPuLh7/OBH/Qar/5qv/jLv/KjP/D9n/Apn/r2b/s2j3rkI9/nAz7w5V72Zb//h37wm77u686ePZs2kJl/8Zd/9ZVf87VHR0ev9qqv+pVf87V/8Nu/9d3f+30f84mf9OKPfewrvsIrfNkXfeFP/vRP/+zP/8J7vOu7fsGXfInEN3zTN7/nu787sH9weHBwAKTzb/72777m679+nKbrr7vu0t7ey73sy77be733q7zyK918042/8Eu/hPnzv/zLr/7ar7Pz+PHjF3d3X+HlXu6zP+/zS0SJAuzu7o7jCAEAkmxLss0DSLLNZbYl2QZs8wCSbEsCyqd+yidxvyLdeNON11173Tu9wztce82pN3z91790ae/uu+/+tE/+5Nd8rdeaz/qXfZmXece3f/t777vv4sWLX/KFX/CyL/MyJ0+cfOmXfMn5rG5sbJw5cxrY2tra3Nx4izd901d55Vd+7GMeHaEzp8+8+7u880u+1Mu/xIs9ej6bv8s7veNDH/KQP/+Lv3jP93j3D/2gD5Snra2tF3/sYx7+8IctZrNrzlwjqeu6l33pl3npl3rJV3qFVzh27Ngbv+EbvuRLvMTNN934si/z0qdOnpLU9/0rvNzLvtRLvtTLv9zLnj51+tVe5VVe/uVfrpZ6+vSpl3rJl9ze2sxMSYAkQJIkQJIkQJIkAJDE85BkG5AE6GDvPJdJyszFYlG6jXG1v1qvu66bbxwD3JYHB4fbx46vjw5b5sbWCaCNh6vVanP72NHBfmttPp93sy2eacTeu3Spq3WxtQ0e1+ujo6OuqxtbO4d7lzZ3tqGH6XB/z/bGxiIU+wcH8/m8m22CAE9LlbI8Olps7rgN6/VqvtgY1+tuvgUC3FaSDg8PN7d3IJaHe621rZ2dYbUahkECY5AE2BYgYXOZQZIk21wmyTbPSRIA6GDvPFdI2IZS+lJrTsM0DUZdN1dEtmEchtl8A7ReHQL9bCFpGFaz2QJ7GFa2azfPbDhL7UqptodhVUoHdk5RutZa38+maQSBs40RBcU0rkspthVVCkmZ0zQOtVZUo4TQsD4qtZOKRGZr01hqL2HTpiFCXTcfx8FupXS19gikaVgjdf3crY3jqnZzCdtSTOM6s0kCbPP8SAKAyrPYwMbmMWdmtvnGzvLo0ny+3XLC7vsdvNfPFlJkTtjzxZad2P1sw85xXHf9bDbfatPY2tjPFuOwkui7vp9vOnO13J/NN8ZhJWmxsd3a2KYp2yjFbLG1zMl2RFls7ozDCoAsEYqy2Ngex1WJWmrFLrWbxvVsvjkOy1r7cVzXbpatm8ahn2+2NmZTROlmi3FYYqKUfrYxDqtS+3ntpmkodSZFmwYkALDNc5IE2OYKqDyTwBFFiuXykp12ltIZr4/2bW9sHS+1yzZJigjbrU3YQGuTIKJElNZGOzGttXFYAVFqtsl2lGp7GtfZpo3tk8PqqE2jJLCd2NiAM6dxDXYmgO3M9fKglG6+2GptmsZhdbS/2AwpbGOvl/vzjZ1S+2F1mG0CGWe2aVgbJAlla206LLVbLw9t19qvjvYURZJtLpNkm8tsA5K4AioACAwqxU6VItVhfdTNNrBVK2BbUVAkjlIxxpJUCmAotVMUgyJwllLnWyfsNo2DwaKUCqh2ESEpamcBUIokapVNhCJmm8cE6/VRmwaVoojNndOCYVoLd/289nPB8mhvNt9QKTmtgYgyTaNqb0xERJltHQfWy73V6qDf2BaMq6PoOpWCpK6X7UwkbMA2z8m2JACokmwjyGyXduPaLe8ftGG1ddNDxr1dHdvIS7tuLW46Nl48F5tb0+FB3dgEpr1L3eZ2Hh6Uje1peVgWG0zTtFrW+YbXyyk5uu9OpG5ji+1j08Fet32c1vLSbo6jr9vI/b22WgLM5j4xaxcuOLP0M3eLw3vvIBMFmG7mbrE8d7cz2zQuTl07jger8/duXHNjTM3j1PYv1dp5HIf1fr9YHN1zhxSx2MzoDu69g8xua6c7dnL/1id2m9sbZ25Y33GPt48z32jnz5WtbXWdbUm2JdnmOdmWBIRtAImWy7/5q9Udz1hsn9g4drrtXjz4kz8c77tnsX1ysXNqunDu6K//gnFaPeEfNE5hVk/4B6+W42235dHR8vH/UPt57u0NT32yjw7H22+r88XG9onF5nFfvJgHB0d/+9eBBOsnPH71t3/tYRhvffrqb/5q/Xd/MzzlSVFisXls49gp7e15aout4xvHz8T+wfIv/nx8ypM9rJd/+9fLv/3r9V//VV680M6fO/qTP2qXdts997S9S+2ee6rK0RP+fv9P/6BYvuvu5V/++fD0p0bXb2we2zxxTbvzztzd3Tx+ZrbYXt3+jOWf/9l09115eLj6iz/PvT1K4X62JfF8gQ72zgOK8DCs/vovPQzdqTOqdTx31tkkdSdPEzGeO4soG5tteRTzDUlteVTm8xxHdV2ulmVz2+PgaVTXe5pisZACyPUKiUx1HdCOjnDGYsPD4DYBRCmLDZWCyNVaJVQ7pFyv2vJIpcZsnqsjDHbM59htvSqLDbemCEC1tsMDp8vGBtCWR1FrLDYUgaIdHngau9PXeBzHi+clqZ+p1ra/N3vsi5Uz13iaeE6SANtcJgnQwd55QBEe1qs//7McR7eGHV2HhJ3TKKTaGZOpCDINSGQSIdshWirCgI1EJoDkaVw8+OFle+fg7/4yakcEEq0RgYQBOxMbUAS2bUARRGA7UxEgBJkAEWRyP9uKgqA1JCKwnYkNqBTA04SkWgEyATL7F3+Jeu11niZJtnkBJAE62DsPSHJmO3++1q52s9amcVhi124WpZvGVbbW9bPWpswGSNH1cynGYWW3WmfTtLZdu1m2VkqZptFOSbX2ZbHpcWzjepoGnklgnk08H+aZBOaZBAZAYBAYBAZAYJ5JPJMBJAyYZxKZcfx4zOfOBCTZ5vmRBFSeRZrf/KC+zoZpPa+z3m21PFhsHBNMOa1Xh4uNY+txOY2DpMViJ8nMthXdMK76br5c7dteLHbGad3V2Xp9mNmQFvPtqY3GshnX/A8isjkTCds2LwRUnsUu1rhero/2WjcrpYt0TuM4LLt+wThmmzyMnoYoHZmrg4vO9HzDdsbkcbTT/eRhsIrH0TkJZdfasMrW7LSNxHMziBeJQfwrGMS/yOZfBFWSbQCJCGeL+dzpcVp3s4UiKCVKja5HQS2iU+2MVaukcViVfiaJUkQB1HVI1KoUkkL9Ygs0jqtxvZSNZJtnE89Dkm2em7hMkm0ukwTYBiTZ5tnE85AE2OZ5SAJsA5IAAzYAhG0B4GnK9apEGe+6q1qzbqGpqbW6ngSsVp5G7++38+em8+ciig8Op/vu29g+yeERiry0186fV6lt9yKZuXuxnT/Xzp935tG9d+7f9pT1PXcyDETY5gEk8QCSANu8YLYlSQJs2wYk8Zwk8QCSANu2eX5sA5Ik2baNLQkAAjAg0drh3/0V47h16tpa++UTH6dp2v+bv7jw27+yuvM2HR7l/t5sc2fzxDVlPR497cmL7eMbJ85MF88f/Nkfr+94xmLnxMbx0+O9dx/97V8ztfnmsY3jZ8pqyMPD+dbxzZPX1qG13YuUwnOyLQmQxANI4gWzbZsHsM1zsi0JkMQDSAIk8Txs27bN/WwDgA72zgOK8Diu/uLPpKgnTraD/bY8KptbuTzCVu1UK7a6DoWnsR0e1GMnouvGi+dtY3fHThAxXrygUMwXKgWFxwFQ7Qh5taoPfki55hpPE5dJss3zIwmwzQsmyTbPjyTbPA9JAGCbF0ySbe4nCag8ixM718v1nbcrgoh2aZcIwNOEDdgGJFHKeP4stmrlsuHcfdiq1Unbu2QbkATYluQ2Vcy/RJJt2zwPSba5n23+NSTZ5kVgW5JtngUqV9iU2j/y0dgIAIPAgEEIDALAAAgAAwYhAAyAeCaDuMLp2N4mE5Bk2zYgyTb3s80DSLLNZbZ5TpJscz9JgG3bPA/bgCTbgCTbvIigcoVNRDlzhv9Umc6UxAPY5n6SANs8J0m2eQBJtm3zopEE2LbNA0iyzQNIsm2byyQBQAUk2cb2OCJhI/FC2DwXiefLBpB4ANs8P5JsS+IBbAO2AUCSbV4A2wAgyTb3kwTY5gFsA7YBSbZ5TpJscwUEYJvLohQgSrFtG7Bt27ZtSYAhSlFEqbXUqogoxWDbNmDbNmA7SlGEbS6zbZvLbNuWZNsAZCZgW5Ik29zPNmDbtm0gMwHbtgHbgG3btjPTNmAbyEzb3M82l9kGIiIzDZIA21xmG7ANABWQZBtYrdfz2Wy9Xm9tbhoyM0Ig25LW63XXdSHtHRx0ta6HIVtbLBat5ebmhgApMyMCaNM0m8329vcjYmOxmFoDQjJkJlBKsT2O42w2s80zOdPrYailLObz9TBIKqWE1DIjIlurXTeOYyklM0spdraWpZTMjAhsgyRJ0zh2fT+OY611mqbMrLUCEdFaA0rEOE3rYdja2Eh7HEdJgG3uJwkAKmAb6Lvux376Z176JV5imqadnW3gzrvuPnZsZ3trC2itPfTBD969dOmv/vZvNxYbdj7laU+fzfqXfamXOnf+/EMe9KCDw0PbG4vFcrXKzDOnTz/uiU/a2FjUWm1fvHgx7WvPnBmn6dj2jkIXd3cFD3nwg5/29KfXrpNk+wlPevIrvfzL3XvffbYlPeRBD7rjrrtuve22B918c1fr0XJ58sSJO+686+abbrxw8eLO9vb5CxcW8/mxY8fOnT9/bGfn4PAwFLWWqbVhGK6/7rqn/sPjHvbQh9xx5503XH+97T//q7968cc85uDw8OLu7ubGxtbWVpva3sH+iePHsW+68cbWmiSeF1TuN4zjmVOnnvL0pw3DcO011wgu7O4Ow7C3t/eM22+fzWY33XDD3/7DP9Ra7zt7dmtz8+abbhT81d/+bVe7cxcuHNveftoznnHqxIlau/ls9nf/8LiXeamXPHf+/Hq9vuuee2qpp06efMKTnrRYLM6cOrW9vf0Pj3/8a736q+/t7//m7/3eDdddL6nvu2Eculpba2fPnb/1tttsH9vZOTw8vPW2266/7ro//8u/2tzYOH782P7BwaW9S4vFwnZXO+6486577t7c2Dxz+tRTnva0ne3trus3Nzf+/vGPf9mXfKm/f9zj/uEJT3ypF3+xxz7qUavV+slPfWrfz2697Rkv9pjH/M3f/f04jdtbW3/z939/8sSJG66/HrDNA9iWBFQAkNRau/GGG+bz2ZOe8pSNxWIcp4c9+MG7e3uPesQjxnFaLOaz2ezk8eP33HffmdOnt7e2ZrNe0mw2G8fp1MkTJ0+cWK5WZ06f3trcLKX0fXf23Lntra31er2xsXHtmTOllGuvueaaM2eGYbjn3vse8bCHnTpxIiJuvvGm6645U0q55977rj1zZrlc7Wxv33fu3M729qzvj+3sbGxsPOjmm8dx3NrcvObM6Vtuvnl/f7/Wsrd/cLQ8uvH668dx2t7ePnPq9MMe8uCjo+XOzs6xne2+6/quu+/c2VMnT954/fXXnjkzn8/PnD4doWEYXvwxjzk4POy6bmdn+9SJE6E4ffrUnXfffd0115RSbPNcQAd75yXZliRQRCllvV4DXa3jNNVaM7O1VmsFxnGc9X3atiVJGsaxq1VSa812KcV2KWW5XM5mM0nTNNVaMxPIzFJKZpZSWmsRYTszgVKKpHEca62Spmkqpdi2LUlSa63WmpmSWrY2tTvvvvthD3mI7Wmaaq22bWdmLSXtUsrRcrmxWIzjKCkkg+3M7Pt+miYgIiKitZaZgCRJtgFAEleADvcv2JZk2xBSZkoCbHOZJEm2bUdE2tiSbEuSlJmSuJ9tSZIyU5KkzJQESMpMSbYl2ZYESAIyMyJs246IzJTE/SRlJpJAElBKGccRkGQbkMQDRERmSgJsA5IA25IA24Ak7meb5yQJ0MHeeUm2JUXEcrVazOdcVkqJ0DhOkjIzM7uus91aq7WM49T3/TRNkoBpmkoptdZxHLuuG8exlCKptQZIighgmqZSSmZGBBARrTVJrbXM7PveNjZSZpaIcZr6vm+t2bYtKSKmaQqpZZZSulpbawagRAzj2HXdNE22bXM/SbwAkmxzP0m2uZ8kANDB3nnA0Hfd3/7DP9xx512PfuQjzpw+PY7jnXfdtVytHnTzLbWWxXw+n8/vve++Wuv21tbupUtnTp++4847T506NY2j4fixY8Mw/O0//MN1115bSzl18uSlvb3W2rGdnbSHYViuVthnTp++tLc3n8+Pjo66rrvtjjtuvO564+2trfl8fs9992Hfetttj3jYw+az2cHh0elTJ++4665jOztd10nK1par1amTJzPzcU944rGdnYPDwxtvuF7QMo+Wyxuvv/6e++47efx413VdrQaJNrVxmiTZBgBJtrmfJNs8D0m2JQE62DsPRMR6GP7wT/7kTd/4jZ/61Kf+/h//8dbGhqRa62w2u+vuex72kIe8zEu+xK//9m/v7OxsLBa3PuO248eP9V1/cHhwdLTs+u5N3+AN/vQv/uJouTw6Wl537TW7ly7N+tn11113ae/S1ubWU5/+tIgisVgs7r3v7Pb2lmCxWBwcHC4W8zvvvvvlXuqlb7rxhj/9i794+EMf+nePe9zW5ubJ4yee/LSnnj51qu+6s+fPP+oRjzg6PLr1ttvGaXzLN33TJzzpSU96ylM3NzdOHj9Ra7n9zjuP7exsLDZ2L126uLv7Ui/x4g978IMf98QndrWb2nTm9OmbbrihtcYLIMk2z0mSbUASUAEgMxez2fbW1q/9xm8cP3ZsY7E4c/pMV6vxarXaWCxOHD+WmethKBG7u5eMIwKYpmk2mx0/fiwiIiIUG4tFa63ve6CUWK/X9509d/z48VMnTthcuHhhMZ8f294+tnOs1NJ3F4dx3N7c2tneEkTEer1+8C23dLV72jNuLVGAcZpmfX/ffWeXq9ViY7Gpzb7rSimzWf+QWx60f3Bw4eJuRFmuVovFYjbrtzY3t7e2uq678YYbSkRmLhYL27xgtnketgFJAKCDvfNcFhGZefbcuWuvuWa5XNqutQ7D0Pf9er2ez+e2//Yf/uHFHv3oWutqtY4Sv/17v/+oRzz8wbfcslytju3srFbrvf29M6dOnT1//vSpU/sHB7bns9lytdrc2LBtu++6g6OjEtF1HdBaA63Xq8ViMZ/NLuzuApsbG8A0TethOHHs2K233350dPTgBz0oW+v7/vDo6NjODrB76dL21tZ6vW6ZpZQnPvnJD7r55mvOnDl37vzW1mattZSCjZSZrTVJtnl+JNnm+ZEEADrYO8/9JNVax3GMCEmZGaFMR4TtzKy12s7MUso0TZnZdZ0zFdFak1RKmaapq3WcplIKkJmllNYal9kupdi2zf1KRMvMzForkJmApJCm1rpap9ZCAtKOiNYaUErJTEmSbEuSNE5TV2trzTb3sy2Jf4kk21wmCbANSAJ0sHeeB6i1ttYktcwSkZmSANsRMbVWS2mZIXGZ7a7rxnGUZFsSYDsiMlMSkLZAkiSgZYYE2O66bpomQJKkzLQNSLJtKBG2QzK01rqus+1MpFLKOI6SANsR0TIFQEQAtm1HREiI1hKwLQmQlJm2uUySJNs8gCSugOB+kkopT37qUw8OD1erVS1luVwC0zSN41hrferTnz7v+/UwdLWO4zhNk+1a6+/94R+dPXc+IoDMvLS3d2lvbz0MwDRN4ziWCMD2arVarla1lGEYpmnq+/6pT3/6hYsX77r7noPDwzvvvpvLJKUNlIj1em37nvvOPvmpT5N019333HHnnWmv1uun3Xrr2fPnp2lar4cScbRclghA0no9rFar1pqk9Xp9/uLFs+cuALaBzMzM5WpVSpnP5/P5fDGf11ptS+IBbNsGgCrJtqTM/Iu//ut77zt79z331q6GdHH30ulTJ/f3D2pX+66/+957Ll3au+Ouu2668Yaz5869xGMf++AHPWh/f//ue+6Zz2dTm86ePXfuwoWbbrh+b3+/tVZr3d8/iBKv/sqvvLm5+bd//w9PedrTuq6ePnV6HAeg1nrv2bMbi8Xh4eGxY8ck/dXf/u2pEyde89Ve7fDw8HFPfGItJe277rlna3PT9v7B/n3nzp04duzW229fLpfrYbjx+uuf9vRbo0S23L20+9Iv8RIPffCD7z179g//9E+B7c3N+Xw+tXbhwsWNjcV6PZQSN99446yfPf5JT3zkwx9+8003PfXpTy+ltNaO7eycPnmyZfJ8QdjmsmmaDo+Ojh3b2b10aTGf33vf2Yc86Jajo+XGxsbJ48ef9oxbF/PF+YsXh3Gotdrcevvte3t7Xdc9/KEP7bv+7x/3+OV6JXHbHXdeuLjbdd2F3d1jx3aOHzt2x113ZWuZ7dprztxw3fUXL17M9Gq1Pn/hwqkTJy5c3J1a9l13dHR0eHgUEefOndva3BzH8Rm33+H0fWfPHh0tp2k6d/7CiePHL+5eOnfu/Gq1vu6aay5cvLge1pj9g4OHPfShd99773K1Gsfx+M7Ojddd33Xd2XPnaikbG4ta6qW9S/PZ7J777nvy054qxc033jhNU2a21lprmYnEA0jiWUAHe+e5rNZ639mze/v7N1x33R133XX9ddcJptYkRYTtCxcv3nj99Xfeffepkyf39vbGaVouly/26Eefv3hxNpvdedfdZ06f2tvbn8/n21ubd91zz7GdnflsFhFPePJTHvWIh0saxxHou+6+c+cW8/l8NrvrnnsfdPNN9507d2xnp++63UuXFHHu3PmXfPEX2z84aK1l5u6lSyeOHUdIuufe+86cPnVpb+/4sWOr1WqxWKzXw2q1PHP6tCLuuPPOrusedPPNu5culVIkjeN48eLuDddft39wMI7j5ubmOI5HR0fHjx+fz+d913W1GgSttXGauEwSYJvLJAE62DsPSLJday2ljOPYdd00TbYlAbYllVLGcey6rk1TqbW1lplARNjuum6aplIi05nZ1dqyZRqwDUjifrXWzMzMruvGcay1ttZs11JaZmbajghJQC1lag0AulqnaYpSWmsRkZmSImKaJkm2bQMRAdgOqdQ6jmNESMpMSRHRWstM27a5TJIk2zwPSYAO9s5zmaSWiS3JdkQAmRkREdFaMwhsS7ItSRIApF0iMtN2RNg2lAjbkmwDmVlKCSntlikopdjOTMAAiOdmm8skAbYl2Y4I25Js21aEM0spQGYCtmutLTMzQwIM2CAJSYAk21wmyTb3k2SbyyQBOtg7D0iy3dWqiGwNSBuYz2ZHy+Vqvd7e2rJdImxnZimlZbMBsrXZfL63t7exsVFLWa3XtVZgtVpJyszFfG7oum5vb28Yx43Fou97SZf29iJie2srM2spklbrdSmllGJbAETE1FpX6zhNEYGNZLu1ZltSRJRSpmnqu+5oubS9mM8NEXHh4sWtzc1Z30+tZaakiACGYQAk2eZFIAnQ4f4F20Ct9dZn3LYe1qdOnszMxXwOPO6JT7rhumvPX7j4oFtuXq/X5y9eXMznmxsb586fv+bMGaCUcvzYsb/+u78/d/78ox/5iIu7uy/5Yi92cHDwp3/5lyeOHY8SrbULFy8+9lGP3r10aWdn+0lPecrLv8zLdF33p3/xF7bPnD593TXX2D534cJyuXzpF3/x8xd3z547O5/PbUu6dGnvhuuve/oznvGwhzzk/IWLtZb5bPbUW2+V9Jqv+io//8u/+lIv8eLnz1948INuue3220utT7/1GS//Mi994eIuMJ/NInTuwoXTp07tbG+31i5cvCjpkQ9/+DRNPD+SbAOSbHOZJKByv9barbffdvsddz7o5pu6rr/x+uum1g6PDh//pCcvFvM/+fO/sH323LnTp08d3zn21Kc//bprrz1+bGd7a/toudzb37P9u3/4h7XURzz0oY9/0pM2Nzae9oxbp2na2d6Zz2fnzp/767/7+xtvuH61Wndd9w+Pf3wo+ln3sAc/+M//6q9KKecvXtza3Dx7/vz5CxeWy9XF3d2nP+O2M6dPnT516rd+7/ce+fCH/84f/OE1Z06HdP7ChYc+5CGHR0cRZWNj8Rd/9dfjNN16+22PfsQjWub21tY/POEJmbmYz/f2DySdPnXyL/7qrx/9qEc+/RnPuHhx98SJ47fcdFPXdbZ5TpK4n21JtrkCyqd+yicCkmzfdffdx48fu+b0mXvvu/ehD3lIV+uJY8dKKTddf73xQx/84K7vrj1zxnjWz26+6ca777nn5htvPH3y5J13372zvX3dNddsb20+5MEPtn33vfc+6Oab57PZzTfeuLFYHBweLhaL66+9bnNz45rTZ7ra3X3vPdddc82NN9xwx113j9P40Ac/+Mzp04v5vJ/Nju1sX9zdPX7s+OHR0azvj+0cu/e++17sMY9pLbuuu+Wmm66/9tq9/f0brr/+4OBgc3Nzc2Pj0Y985L33nV0s5jdef/2s70+fOnXqxMmu1tOnTt52+x3XX3ft4eHhqZMnj+3sXHvmmtbafDEvpfD8SJLE/SQBgA73L9gGJJVSsJGAzOSyiMjMUopt286MUmyHZNvYRqAIwdQaEBG2aykt03ZIBkAS0FqLCNshTa3VWgGwjW1AEhARt91xx0033HBxdxe49syZ9TBIkpSZQGaWUiS11koprbWIsB0RtrEVUUu579w529ecPp2ZtlumRKZ5kUkCdLB3HpBkmxfMtiT+NWxL4t+h1jpNU0RImqZJEg8gyTYvlO1aK/bUmiReNJJscz9JQACAbV4oSTyAJJ6TJC6TxGWSeKEk8Twkcb9xmoDMbK1FBM/JNi+AJACIiNZay4wIJF4oSVxmWxIPBAEAknhOkiRxP0k8gG0eQJJtLrPNA0jiOUmSBNgGJPEAtgFJgEASl9nmXyJJEmAbkGSby2wLAElcJonnZJv72eaBIHgBbPMAtgFJgCRJPCdJknhOkngetnkA29xPkiTANg8gieckiedhmwewzf0kcZlt7idJEs9JEg8gCQAqIMk2z8M2z8k2YFsSD2CbF8A2z8M2z49tnpNtwDYvGts8P7Z5Tra5TJJt7meb5wUVsM3zkGSbF8A2z0kSYFuSbQCwzfOQZJsXjSTuZ5v72eY5SQJs86KRxIvAtiQgAEk8D9vcT5IkQBIPIIn72bYN2OZ+kngASYBt7idJEiCJB5DEZbZt27bNA0jiASTZts39JHGZJJ4f27Zt2+Z+kiTxAJIAIHgBJHGZkG3b3E8Sl9kGJHE/SZIk8fzYliSJ+9m2zf0kAYBtHkCSJEm8ALYlSQIkAbYBSVwmiftJ4n6SJEkCANs8J9sAoIO981z1QkkCKgBIsr1er7nqstlsJsm2JACokmzbBmbzmRBgWxJgW5JtnpMk29xPkm1JtgEJG0lgmyskAbYlcT/bPCdJtrmfJNuSbHM/SYBtLpME2JZkWxJgmweQBNjmfpJsS7ItyTYgCbAN2JbEFRAAIAnA2LYtybZtnpMkALDNZZIA24BtSYDNFTaSuMy2bUm2bdvmASRxmW0ukwTYBmxL4gFsS+Iy27YB24Bt29xPEmDbNpdJAmwDtiVhAEmAbcQVtm0DQNiWZJv7SbLN/WxzP9s8p8wEJAG2eQDbgG0ewLYkLrPNZZJscz9JgG0ewDb3sy3JNpdJ4vmRBNjmMklcZpsHsG0M2LYtCXOFJEkAEIBtQBKX2eZ+BttAZgK2AduAbdt930vKTEl939vmMttcljb3sw201mqtEWFbEs/DNpdJ4gEkcT/b3M82z49tSYAkwDb3k8T9JEnifra5n23bABDcz3attZZaa+WyiOi7bnNzs9a6ublZa53P513XbW5udLXO5/ONjY077rhjHMf5fD5N0+133NHV2nVd13Ubi0Uppda6tbFRa6m11loX87mk7a2ts2fPHh4ezWezzJRkG5DEc7INAJJ4fiTxQtkGbPOcbHOZJNs8D0k8EFTuFxF33n1313XTNF1z+nSt9fz589//Qz906uSpS5cuPfjBD7p4cXdnZ/vue+6dz2ZHR0fXXHMm0097+tMf8fCH3X3PvV2tpZa3e+u3+ZVf/7V77rnnkY945F133bXYWBweHN58802Pe9zjH/rQh164cKHr6vHjJx73+Mc/5MEPPnvu7Nu9zdtcf911rTVJmRkRmcnzsA3Y5jnZ5n6SbEuyzYvMNmCb52SbyyQBQACApKm1p956633nzp49f6611tW6u3vpqU972vkLF570lCf/wi/+0rFjO3/7d3//d3//95f29v7+cY/7m7/7u9//gz8YhuFRj3zkqZMn9/b3NhaLg8ODJz/5KfPZ/Dd/+7ef8tSnrtfrn/7Znz13/vwtt9ws6Td/57e7rvuTP/vTixcvHh4dPu1pT9/c2BiG4enPeMYz7rj99/74jy/u7tZaeQEk8ZwkAYAk24BtLpPEi0wSLxyUT/2UT+KyiMjMY9s709S2t7a6rlsP68c8+jGv9zqvfc0117zsy7z0fWfPPeTBD3rD13+9133t17rh+usf/KAH3XzzTbN+9qBbbrn22mu2trYy85GPfOQ4TvsH+6/56q8+m/W33HTTIx/xiFtuvvnBD3rwyRPHb7zhxjd+wzeczWbz+fzaa67Z3Nx80C23HNvZmc9m21tbO9vbO9vbkrifJJ6HJB5AEs9Dkm0uk8RzksTzI4kHkMRlkgAd7J3nMkmlFNuClmm7lFJKGcex73tJEqDW2jiOfd9LCintcRxLCSlsT9M06/uISNt2ZnZdN01TZgJdrcvVaj6bAemMKKvVynZEABHRWrMtyTYvMklcZhuQZJv7SbINSAJs85wk2eb5kcQVoIO98zw/kmzblmQbAGxLkmQbsC1Jkm0AkGTbtiQusy2Jy2xHhG2DwHZESLLN/QRItvmPI8k2IMk2/0qSgCrJNs/DNiBJEpdJsg0AkgBJABARtiXZjgjb3E8S95MESBIAEWHbtiTbXGYQzyQJsA1IAmzzIpBkm8sk2QYA2zwnSbYl2ZZkm+cLqm2eH0m2MxPou65lZqakzIwI27YlAaWU1hqQmZK4zDZgW5JtSba5X0TYzsyIiIhpmgBJgG0gIiJinCZBKQWwLYnnIck295Nk27Yk24Bt7icJsM1zsg3Y5gEk2eYKqAAgyXYpBZDUWrMdEZsbG0j33nvvYrHY3Nwcx3Fzc3N5dNTP56XWbC0z9/b2jh071lrruq61lq0ZIgK7dl1mllrbNIWEBEharVZdraWrw3rY398/deoUMI4jdu06RayWy+VqdeLECey9vT3bfd9npkEASLIN2OYBbHOZbZ6TJNs8J9s8D0m2bfMsUAHAdkTsXrpUSlkPw7Ht7b7r9vb3f/THf+Kxj3n0r//mb91w/XWv/EqvtLGx8Su/+mtv+iZv/Pf/8A9nz5175MMf/qQnP/ne++573dd+7b7vn/q0p117zTXHjx1TxHK5jIg777wrSjz96U9/1KMetV6vj46Otja3Dg8PX/mVXvEfHve4/YODo6OjcZyuv/663d3dRz3ykRHxuMc/fmtz676zZ4Gtrc0zp0//5V//9Su8/Mu/yiu90jgMUQpge5omSbZ50UjiRWab5wIVACS11h73pCeeOHZsGMe+e9DW1tb5Zzzj13/zN3/393/vTd/4jR//hCccHh29yiu90u/8/u+949u/3f7e/t//wz/0Xf/3//C4Bz3olt/4rd/KzCc88Ynb29uv/7qvW2vd3d294847//wv/vJ1Xuu1JP3FX/7l+QsXXvolX/J7vv/7L+1duummG//0z//8yU95ainlpV/yJZ/8lKfcctPNv/nbv3PNmTM/+/M//9CHPOTc+fOv/Eqv+Iu//MvHdo6t1qvXe53Xzcy777sXdO/Zs6dOnHjQzTeP4yjJNi+YJNuAbZ6HJNs8P5Js8yxQPvVTPgmQJOng8LDv+2mcrj1zptZyeHi4tbX1yEc84r77zp45c2a5Wu5euhSKF3vsY++4847z5y+893u+x8Xd3VrriRPHV+v1S774i28sNu66+56NxeKee+/b2d5++MMetr29/bCHPuT0qdNTm9br9Su83MtNrb3YYx974sSJBz/olmkar7nmGkmGvu8PDg5e4sVf7L3f4z3Onz+fLV/uZV/u+uuuWy5XD7rllhtvuGEcx1nfpb25sbGxWKTNv4Mk27wIJAE63L9gG5AkyXZmSgIkdV0nabVadV3XWpumqZSSmZJKKZIycxzH+XwO9H3vzIPDw1KK7b7v+75fr9eZGRHY4zTN53NnTm2KKBExTdM0TaUUoJQyTdN8Ph/HMTOnaVosFrbHcWyt1VojQqAIZ06tSQJscz9JtvmXSLLN8yPJNiDJNpdJAnS4f8G2JNtcJonLbAO2I8K2JB7ANpdFRGYCmZaICC6znZkRwf0kZaYkLrMtSZJtAJCUmZIkSWqtAREB2OYBJNnmMkm2JdnmXyLJNs+PJMC2JNvcTxKgg73zkmxLss39JNnm30eSbf6VJNnmhZJkmweQBNjmfpIA21wmyTb3k2Sb5yHJNveTBABVkm3ANs+PbduSuMw2ErYk26WUzOR52JZkG8mZkrjMtiRJQGZKsh0RtgGQhG0gMyXZlmRbEg+QtgCQlJlI2IKIsM1ltiVJsg3Y5jJJtm3z/NiWZJvLbEsCqm1Aku2IwJaUtu1aClIppZaStm2gdJ3bhEk7Io6OjjY2NgSZGSUyna2VWiW11iS11vq+H4ahRLTMvu+ztXGabG9ubk7TVEpZLpez2SwipmmyLcn2rO/Haer63pmKGIehlALYth0RmQmM47hYLLCRsrX1MPCcbPMAkmzzrwU62DvPZSGtx1EwTdNsNuu67vyFC9na3v7+vffdt7FY9H0v6c677jpx/Hhmbm1tHR4eveIrvPxf/c3fZGubm5t7e/vb21sbGxu7u7vr9frEiRPjOB4/fvzpT7/1wQ9+0MHBwcZicesznnH8+PFTp07NZ7O/f9zjzpw+s7u7+3Iv+zJPfspTIuLOu+46Ojp69Vd91WEYnvyUp95ww/W33X771ubmxd3dRzz84Xt7e9M0LRaLrnb7Bwfb21tHR0f/8PjHP+ZRj7LJbCeOH3/IQx6SmREhCRjHUZJtQJJtnock24Ak21wmyTaXSQIqAEhK++8e97iTJ45f2tt/1MMetrGxsb+//0u//Cu7ly4dHh4+5MEP/pVf+7U3e5M32d/fRxwcHFx/3XVPv/XWM2dO/+mf/dmNN9zw1Kc97czpM7/wS7/0Ei/+4rc+4xmz2Wxrc/Pc+fMv/ZIv+Vd/8zcv9zIv8/gnPuEVXu7l/v5xjzt/7vxbvPmbPfhBD/qZn/u5V3z5l/+TP/uzW265+Xd+9/d2L+3uXrr00Ic85G///u9D+uVf/bUHP+hBD3rQLU+9976zZ8/+/T/8Q0Q5dfLkL//ar15/3fXLo6NSSy31UY965E/81E8/7GEPfcYznvHgBz34kY94xNnz51trh0dHxg+68aapNR5Akm1Akm3ANpfZ5n62eSAIHkChTNdaW+Z6vX7YQx5y9ty5Bz/olq2tzRMnjt98802zWf8KL//yD33IQ2yOHz9Ra5XUdd3h4dHm5ubh0eErvsIrXLh44eEPe9iLP/axb/nmb3bLzTdfuHjxlV/pFYdhuOaaay7u7mJuuummpz396X/zd3+3s72zsdjY2tw6PDy8/vrrgNlsNutnf/8P//CUpz7t2LGdjc2N++6772EPe+hLvsRL3HLzzbXW1Xr1qq/8ysMwPPrRj1osFhsbG5itrU2ha665Zj2sbU+tDeO4XK2OjpaSuEwSl9nmMtuAJJ6TJC6TBEgCAB3snZdkW9I4TYKWbdbPbEfE0dFR13WX9va6rpvNZplZS7G9t7c3m81a5jWnT587fz7Ts/ns6Ojo1MmTh4eHtda+7yWVUpbLZd/3y+Vya2truVzu7u4eP358/+AgM0uUrqtTa6dPndq9dCkk28M4tmmKUgSLjY1Lu7tnzpyZpqnv+/2DgzZNJ06cODw8rF2XmZm5XC67rsvWJM3n88ViISkiMOBxmviXSLLNCyYJ0MHeeUCS7ZAMkjJTku1SSmbWWm1nJmBbUi2lZUoax7HrOiAzSynTNEWEbduA7YiwHRGttYiotU7TVEoBAGcqYhzHUgogUITAAGRmKWUcR0m2SylAay0ibEsCIsK2JNuZmZmAQQBIss0LIAmwzQslCdDB3nlJtnkekmzzQkmyzf8YkmzzAJJs8/xIss0DSAJscz9JABCAbZ6HJMA297PN/Wzbtp2Ztm3b5jLbtm0Dtrmfbdu2AUm2ucw2l9kGbNu2bdu2bUASIIn7SeJ5SLLN8yOJ52EbkCQJAGzznGwDQOX5kQTYns/nrTXAdq11miZJrbW+7yVJsg1kZkRM0yQpIiRFxDAMpRTbrTWg1gpgpz1N02w2G4ah73tgmiZJpRSgRGQmYC6z056mCbDNZZJs8zxs8wCSbNuWZJsHkGSby2xzmSTbtiXZ5oFAB3vnJdmWBEgCMhPouu6pT3va1tZWV7uuqxcuXDhx4sR6GLa3ts6eOzeO4zRNG4vFk578lFtuuXk+m+/sbA/DsFyt2tRW69WNN9544cKFvut2jh1rre3t7WErYjabnTp58u577jlz+vQ999wTpRw7dqxN0/7+PtLh4WHXdU97+tMf++hHt9ailNlsdvLEicyUFBIwtSbJNveTZJv7SbINSLINSLLNi0CSbUCSbUkAoMP9C7YlAf/whCcc29lBXHfNtRuLxa23PuOnfvZnX/kVX/GXf/VXH/KQB//t3/3diz3msffce+81Z87UWq+77tq/+uu/OXZs5+zZczfecMPf/N3fPeyhD1mv113X7Wzv7B8chLS5uXlxd/eWm28+ceLET/70T73Oa7/2E57wxBd7sce+2Ru/8Yd+5Ed9yRd8/l/9zd/85m//9ru84zv+7u/9/rkL5x/9yEfddvvtXdfVUg4OD264/oY77rzj4Q9/+Lu98zvv7e0Bq/Xa9snjx1sm95ME2JZkW5Jtnock2zw/kmwDkmxzP0lcAZX7tcyj5XKcpqPl0bHtne2trfWwns/nd95156VLlx7/hCdcc+aae+679+Luxd3d3Yc8+MEnT558qZd8iRLl7rvvkXTD9dcdHBxsb+8cHR3d9OgbF4vFX/zVX43juJjPb7/jjt1Lu30/m8Zpa2tz79Klf3jc40op3/eDP7ix2HjUIx/5h3/8x7WrXe26rnuFl3vZO++6++zZs9PU0rm9vX3fffdh7x0crFarS/t7mXn61KkpUxI2YBuQZBuwzfNjm+dHkm1AEpdJsg3YBiQBOtg7L8l2RFza31vM5rYV0ZVSav37f/gHm4c99CEXLl7c3tra29/f3NgopTzjtts2NzdPnTqVmXfcccfO9s6Za85cvHjR9uHh0fXXXbteDzs727/ya7+2ubn5ki/+Ehd3Ly7mi6PlkaSdnZ3FfF5qPX/u3IWLuy/22Mf8/T/8w0Mf8pC77r7n2muuidAwjmfPnp3NZrZBm5sbN95wg+1SSmsNsG2b+0myzb9Ekm3+JZJsA4Ak25IAHeydByTZLqXYBmzbBhaLBbBer2utrbVSSmbanvV9y5ymCZj1fWttnKZaKxAR4zhKst33/TiOJUIRmRkRQGstM7Fr15VSlsvlxsZivR66rhvH0XZE1Fptc1lmDsPAv4kk25Js8wCSbHOZJMA2L4AkQAd757lMkm2ek21Akm1JtiUBtgFJQGZKkmSbyyQBgG1JtnlOkgDbgKS0Q7ItCbBtEM8WEbYl2eYBJNnmMkm2+VeSZFuSbR5Akm0ukwToYO88z0OSbf7TSLJtWxIgYfPvJMm2JNv8x5EEAMHzY1sSUEqJiIiIiFpLREgCJEmKiFJKRAClFECSJKCUAkgCAEmlFECSJNu11tlsFhGlFBtJ/Esk8ZwkAYAk25Jsc5kkXmSSeE6SeCAI7iepllJrLaUAtiUdHh4OwzAMw3K53L20N46jbUm2ba/X6729veVyWWu9tLdXSrFtu9Z66dIlSa01SZJs7+3tRURm2q613nX33U980pOmaTo8PJIEABEhiftJ4gFsA5K4n21JgG3ANgBIss1lkngekngA24Ak7mdbEmAbAHSwd57LJN16++0S4zg+9EEPns1md9x553d893e/2GMe87Sn33rLzTc95alPe9QjH/F3f/8Pj33sY86dO7ezvQ269757r7v2uvWwrqUeLY9uv/2Ot3rLt9hYbPz27/zOK73SK/7+H/zBIx/xyJd6yZf4+7//h7vvvef48eMPedCDfvO3f+fDPviDvuGbv/nEiRN33HnnW7zpm77cy77scrkspazX61prKcU2LzJJXGYbkGSb+0myDUgCbPOcJNnm+ZHEFRAAIKm1dve9917cvXRhd/fw6KjWenR0dPbs2VLKhYsXZ7P5S77Ei4/jePbc2d/+nd+9/Y47/uCP/ujOu+562EMfeu011/zVX//Ntdde84zbbnvK0572xCc96Z5773nQg27527/7u3943ON/7/d//3GPf/wzbr/toQ95yNOe9vTHPeEJz7jtGf/w+MefO3++q90999w7m82w77zn7tvuvPMv/+5vn3HH7V3X2eYBJPGC2bZtm8ts8wC2JQG2bfOcJNnmMkk8J9u2AUAHe+e5LCLuue+++Wy2XK1OnTgxn80ODg9/7w/+4Nprr7148eLDHvpQoLW2t7d/cHgw6/utra2IALa3t3d3d299xjMe/ahH3XvvfceO7Tz4QQ/61V//9Ruuv+G666697bbbDw4PTpw4sb+3f8stNz/jttuuv+662++4Yz6fz+fz/b39hzzkwY965COHYSgRq2EopdRSbPMAkmxLss2LTJJtSbYl2eZ5SLItyTYvgCRAB3vnuV+t1bak1prtiFgsFq21UmIcJ9uSSkSUkpm2bWO3zFprqXUahlJrtjaM42Jz061N09TViuRMRUzTVGttrZVayczMKGUYhnEcJdmOCNu2JdnmfpJs8/xIss39JNkGJNnmOUkCbHM/SbZ5fiTZBiQBOtg7z2WSbAMGgSTbmSnJtiTuZxuQxGWSbNuWZFuSpMyUBNjmfpJsS7LN/SRFhG3uJ8k2/9Ek2eZfTxJQuZ9tLhMAtoGIACTxAJJ4TpIkAZK4LCK4TBIPIAmQxAPY5gFs8x9NEv8eULmfJGcCSNzPtm1JkmxLAmzznCQBgCEk27YBSYBt7mdbEiDJNs9PRNi2zf0k2eYySbYl2ZbECyXJNmCb5yHJNs+PJNs8C1TuZ1uLBa1he5qAiOj7PqRxmgDANhARJWKcplKKbduttVJKZkbEOI611lorMAwDUGsVGIBaa2sNmKYpIiIiM2uttrM1JEnr9brWWktRxDRNtdZxHEsptkspwzB0tbZMwThNtiXZ5vmxzQsgyTYgyTbPyTYPBFWSbUClrP/qL8vpMyoRp07XUi5evPjzv/hL62H9oFse9PgnPP70qdPDMGxubZ4/d/7GG294+MMe9vf/8A8bGxvXXXfdTTfccOddd505c+ZHfuzHP+B93+c3f/u3L13a29ranKb21m/5Ft//Qz903bXX7u3tlVLPXzh//XXXnTt3HvESL/biT33aU2+68aa/+du/ffSjHnnnXXcdO3b8tttve53Xeq3VavW7v/8HZ06fOlouH/rgh9xx5x07O8fuvOvOhzz4wQ9/2MOe/OSnrIfhKU996ju9/ds/5CEPXq/XkgBJtvmXSLJtm8tscz9JtgFJtnkWqACgCK/Xqz/6Q7rOq9XWu7zb/MyZvb29v/jLv7zz7rtf73Ve++abbjo8Orr1Gc84ceLEk578pMOjo7/527/b29/f3997zKMf/fqv+7r/8PjHP3S1eurTnra1tdVanr9w/ld/4zfe5i3f8o477szMo6Pl7u4lxG//zu9ubGwsFouXeamX+s3f/u3HP/EJD3nQg59x222/+/u//5Zv/mbz+eyP/vhP3uot3vxv/+7v77n33osXL17cvfj0p9/6Wq/5Gr//B3940403/sIv/fKbv+mb/Nbv/u6rvNIrnjp58oYbrh+GQRIgyTYvAtu8UJJs80Cgg73zAoMiln/0h5rN2sUL81d4xf7U6Qtnz/7pn//50dHRzs7OzTfdtF6v//Kv/uqWm285fuL4NE5PfupTbrn55mmann7rradPndrb39/a3Dx//sLbvNVb/sEf/fH+wf7xY8eOjpZv8WZv+pM//TPXXHPm8PAoM8+cOf3EJz7poQ95yMu93Mv+6q/92jVnrrm0d8n2er0upfZ9f/bc2Vd6hVeYpun6667bvXTpwoULh0dH99xzz4kTJ2699Rmv8sqv/Hd//3fXXnvtTTfeeHR09FIv+ZLcTxJgm/tJAmxzmSTb3E+SbV4EkgAd7l+wDUii65AkeRzdWkTM+l4RmdlakyTJtiTsUqvtiHDm1FpEOFMRq9VqNpuVUmxP09Ram/U9YJ6plNKmaRjH2WwWkm1DRLQ2SQGs1+taa2tNUiklQjZARDjTWIppmiQNw8ADSLLNA0gCbPMAkmzzgkmyzf0kATrYOw9Iso0NAEiSbNu2LYnnYVuSbZDEs0iybRtJIMk2D2BbkiTbtpEAbEmAISTbkmzzALYl8QCSeH4k2eY5SbItyTYvlCTb3E8SoIO989xPkm2ehyTbvFCSbPOfQJJtnh9Jtvk3kWQbkGQbkGSbyyTZ5jJJQACAJMA2z49t/iW2+c9hmxfANv9WtrnMNpfZ5n62eSCogCTbQEhIPJNBPJCNxHOxkXj+DAJsS+KZDOI5GMTzYRAvlG1JXGEj8UA2Es/NIB7IRuIBbNvmMkkAUAHbkmyvh4GrLuu6TpJt25KAygNEhG0Qz2YABIBBYJ5FwgYBYBCYZxLPZgDEczAAAsAgMM8kAAzi2cwziWczAOI5GAABYBCYZxIABoFBAJhnEgCWxHOBCkiyDdRauep+tgFJAFAB21xmm6uek21JQPCikSQJkMRzksTzkMSLRhKXSeI5SeJ5SOJFI4nLJPGcJPE8JHGZJJ4LBCCJ+0mSJIn7SQJsc5ltSTyAbZ6HbUAS95MkiQeQBNiWBNiWxAPY5nnYBiRxmSRJkgBJACAJsC0JsC2JB7DN87ANSLINSAIkAUBIss39bAO2AUmSuEySbUmAbUn8SyTZ5n62uZ8kSba5zLYkwLYkLpPEc5LEZZJsc5lt7mdbkiTbAGBbEmBbEpdJ4jlJAgBJtrnMtiSugAAASdzPtiTAtm3bgG3ANgDY5vmRxHOSxP1sSwJs2+YBbHOZbS6zzQNIss0DSOIy27YlAbZt8wC2ucw2l9nmASTZ5gEkAYBt2wAQtgHb3E+SbZ6HJB5AEs/DNvezDdjmMkmSbPM8JPH8SOJ+trmfbcA2l0kCbPM8JHE/SdxPEvezzf1sA7YBQBJXQPA8bPP82AYkcZltnh9Jkngetm3z/NgGJPGcbPMAknh+bPNCSQJscz/b3E+SJJ4f21wBlQcwYANI2Dw/tnlBJGzbvBASNs+PbV4QCds2L4SEzXOyDdjmBbPN85DEZZIAoHI/SfPZjKsuW6/XtiVxBVQAkNRae9KTn5wtEf+vmYi46aYbSym2JQFABQBJ4zj+/h/84XpYh4LLjAEhYyFeAGNxhXgAYy4TAoO4nzEgZCwEgEE8k0GAMSDEMxkEGANC3M9YCDAGhIyFAGMhMMhYCDAGhHgmg7gsnX3fv91bv/Xm5mZrjStAB3vnJdmWtLG5icRV9tHhoW1JXAEVsC3J9v7enjMBRQC2BUj8/xMRkmwDkoAKSLKNFFJsbaHIo0Mk9T22xxEJG5BkmxdAkm1JtgFAkm2ehyTANiDJtiTbvACSbEuyzQslyTaXSbItybYk2zwPSbYl2QYk2eYy2zwLVMA2gB2LxfDEJ+RqNXuJlyRzuvMO1VpOnXYmANjmASTZ5n62AdvczzYgCbDN/WxLAiTZBmzzAJJs85xs85wkAbZ5HpJsA7YB24AkwDb3sw3YBgDbXCYJsM0VULkiM7Z3Dn7qJw5/5ZdU6+zlXn7zjd743g94v/mrvOrpz/l8H+wTwXOSZJsXQJJtLrPN87AN2OY5SQJsA5JsA7Z5fmzznGxzmW2ekyTbACDJNi+YbR4IKs8ijn7rN45/0IfUm285/zmfSXrxGq+JwMlzkmTbNi+AJNv860myzf1s85wk2eZfT5Jt7mcbsA1IAiTZ5gWB4AqJTEqJ7e3Y2vYwbL/TO2++6Zvl4SERPCfbPD+SuMw2/ya2eX4kAYBt/k1sc5kk2621Aou+35jNZrVit2kCJPF8QeUKW6XWa6/d//EfK2fOaL6oO6fWy6UPD5F4wSTZ5jLb3E+Sbf4dJNmWZNu2JNv8+0hqrS36vi62zh/u3XvPveM4bm5t3njNNZulHu3vZWZE2Oa5gA73L9gGVIqXy/0f+5E8Otp++3esN9ww3nbb+NSnLF7jNT0MSDw/kmzz/EiyDUgCbHOZJNv8SyTZ5vmRZBuQZJv7SbLNCyBpmqadY8eectddP/N933fp939vft+9tbX1fD4+5GGPfMu3fLu3fuuuteUwlFIA21wmCdDh/gUus62I2NyGyOW+x1Fdp77PoyMkbP6VJHGZbe4nCbDNv4MkALDN/STZ5gEk2eYySdM07Rw//su//Tu/9Emf8Abn73v09va87xGZeWm5+sP9wye95mt/3Fd+1XXbW4erVSnFNpdJAnSwd57LJNkmG4YIRdgmU6XYBiTZBgBJgG0AkGSbF40k29xPEmCbyyTZ5n6SbPOikWSb+0kCbEtqrW1vb//6H/3Rr77f+3zY5jw2tw6nyZkAUok4Xsrj7r77xx/7Ep/+Xd99emNjNQwRYRuQBOhw/4JtSbZ50diWxGWSbPOCSbLNCyUJsM0DSLLNCybJNg8gyTYPIMk20JVydrn8ird92w/fu9A2N6dpCokrbGC0T81nf3nX3T/40i//bd/zPcpMm8skAWEbsC3Jdmambdu2bdu2bWembdu257MZkJlAZtq2DWSmbdu2badt27Zt25mZmbZt27ZtsG07M7mfJC6zzb+SbQCQBAC2gdZav7H1Cz/5k698xzNm29vjNEWmx9GrladJpSJ10vnV+pVvuH7793/vy77pmxdb2601SVwBFQAk2Z7P57XWzLQNSOKy1lqt1XZrrav1l3/t1175FV/x+PHjy+VyPp+N49TVulytNjc3W5tq7WzbljRNU7bWz2aZKalEZKYigGmaMrPrutZaRCyXy4iwbZvnJMk2z8O2JNs8gCTbtnmAIq3aePfv//4rbywOWyuZsbkZW9vl2LF28eL6aU+JzS11XYHDaXqTM6c+50d/9IPf9V2OHz8+TpO4DCoA2O77/uu+8Rsf97jHv8Pbv93GYvG9P/ADb/Ymb3LHnXdm5sMf+rC/+Ku/PHni5INuueVJT37yU5/2tAsXLj7u8Y9/8IMftJjP/+7v/+E1Xv3V3uQN3/Abv/lb7rn3nrd+y7f8vT/4w/vuu++1XvM1MI98xMN//Td/6+y5c9M0vcHrve7v/N7vHR0tX+alX+pP/vTPXvqlXurg4OBpT3/62771W73sy7zMcrmUJMm2JNuAJNs8D0mAbR5AEg8gyTZQS9k9PNS992x23WiTqX523ad+1vJv/nr3J3/05Lu+19Ff/Olw+23q+zF943x+dO+9f/ZXf/3mb/LGw96eIgAgAEmttW62GRGv/Eqv9Nu/87vf+C3f+imf+Il/9Cd/8vt/8Id/9ud//od//MdPevJT/uCP/+hP/uxP/+Kv/vLBD35QRDz+CU+45aabn/jkJ7ds+wcH62H4u3/4+xMnTvzsL/zCbNa/7Vu/1dd9wzfedc/dq/X6d37v986ePdt13Vd97dfdcP317/2e7/Gnf/bn586fu/baax73hMeXWnZ3L0WEbUm2AdtcZhuQBACSuJ9tQBIgCbBtG5AE2OYKKTNpTQJAeBr7mx/Udi/W664/8U7vtvOmb5HLI0UYQri1Z9x+GwrbkgAgANtclpnTNAIKTdM0juOZ06d3do79/T/8w0033nj82LHHP+GJ8/miTQ1cShnH8UE333zm1Om//Ku/Wg/DS7z4iw/D8PjHP76Wuh6Gxcbi0qVLt99xx3w+G8dx/2B/a2urtVyv1+M0dbUbhuGxj3mM03/393+v0tm2zfOQZFuSJNtcZpvLbAO2AUkAYJsHaK1tLhbt+PH11IQw6rp7v+KL2qXd2cMesf/bvzHefVdsbDqziL3MZQStcZltAKgAUEoZVgcR5a/+5m/e4e3ebmOx+Iqv/po3eL3X3djYODg4+Nu/+/uXfZmXsfNv/+7vb7nl5ttvv6O19pjHPPquu+9aLBb7B/uv9iqvsrW5GYrVav1xH/3Rf/4Xf/nTP/OzX/z5n/+rv/brv/nbv/1u7/IuIV1zzTVPevJTnvb0p/3Ij/34a73Gq//xn/zp+fPngYh45Vd6xTauI4L7SbLNZbYB29xPEmCb52Sb+0kCbEtqre3MNnZe6qXv+Ju/fMTOzqrWdvHCwe/8ljMl2SmF5vMpc17K3w3Tuu+vP3MNWJIkANDB3nlJgO3FYh61y2myHRFAa01SqXUaR0ml1mwtM23XWsdx7Pt+HMdSymq12tjYGMex1splrbUSYQCmcWyZ8/kcWxG2ndkyu64bxzEilstlRNjmeUiyDUiyzWWSbPOCSbINSMrMzfn8L5/61J96h7f7iO3Nc1BtIgBsJCBblhDZPujS0cUTJ3/kO77jYQ9/2Gq1iggAqIBtQNLR0dI+AkkAtiUBtiUBtpGwJa1WK0nr9VqSIaT9/X1Jq/Way8RzkHRwcACSMGBLWq1WkoCIsM1zkmTbNiDJNvezzfOQZFuSbdvcLyIOjo5e7jGP/eMP+4gf/6LPf5cH33LvOLmlBICdZhbahC88XD0h/R6v9mqPfNQjDw4OIsK2JEAHe+d50UiyLck2LwJJtnkRSLItyTb/Ekm2eRFIAmxLso29sb39xV/4hXzzN77HzTd0pa5bMw7Uwblp+saj9c81P/KGG7792771phtvXK/XkgBJgA72zkuyzWWSuMw2l0myDUiyDUiyzfOQZJsHkGSbyyQBtiXZBiTZBiTZBiTZ5nlIss0DSLINSOIy25JsA5JsA5JsA5Jsy97YOfYFX/kVv/vVX/VaXX3M9tZGKZfSfz+OvzJMz0Av/dCHftEXfsFLv9RLHRwclFJ4FtDh/gXbPIAk24AkLrMtybYk21wmybYk2zw/kmzz/EiyzQNIsg1Isg1Iss0DSLINSLLNCyDJNveTZBuQZNv21s6xX/3d3/3Gb/u2J/7t3y4PDgdcFhsPuf66N37t13rv93qv66+77uDwsJRiG5AEADrcv8BltiUBtnkekmzznGwkHkhSpiWeiyTbPCdJmSmJy2xL4gFsS+I5SUpbPB+2I8I2lxkEgG1J3K+1trO9TeZTnv70pz/jGcNqdfrkyQc/5CHX3nDDsFqt1+tSim3uJwnQwd55LpPUMoG+ViQ7bSQB2C2z67rMlIQNIEXENE1cViJaZmb2fd9asw1EhKTW2jRNfdcpIjOBzJSUmX3fT9NUSsFWRGsNACQBJWKcJtsRIWmaplrKMI7z+XyaplrrNE0lwmBbUGpdrVa1lCiltVZrHYZBUt914zSViJaZmRHRWiulzOdzlQ63nKZhHMdxlBQRtiXZlmRbElC5n6Q/+tM/tf2SL/Zitvuuq7WO4xgRtre3t+++557ZbNZaK6UA0zSt1+uTJ04ASAcHB5ubm/PZ7Bm33ba9vT2fzVprf//4xz/sIQ85f+FiKXHqxIn1OC5ms5Z56uTJX/71X3/kwx++tbm5sVgcHB5KGsdxZ2cHe2otM4E777rrYQ95yH3nzvV9P+9n11137R/88R/XWm++8cbNjY0Lu7unTp48PDy89Rm3PeTBD5J0x513bW9tHTu2M03T5sbGxUuXrr/2WsHf/MM/LObzE8ePb21uXri4u1qvMOk8fuxYa20cp1rLDddf31oDbAO2AdtcAVWSQTAMw2I+f8TDHvabv/u7mPl8fsvNN9l+6tOf/siHP/zBt9zy+Cc96aYbbrjrnnuA9Xq9s729Hoa/e9zjHnTzzQeHh3fdfc9LvcSL72xvP+6JT4qIk8ePG9919z3jNO3t789ns2fcfvujH/GIP3vc4+az+au/yiu3zGfcfvt8Nj93/tx11157/sJFO+fz+bnz5/uum81mi8Xi7LlzD3/oQ4+Olnfdffczbr/9rd/szUJx9ty5aZouXLxYS1Wo7/rDo6PlanX3vfce29neP9h66q23bm5sXLy0G9JiPj93/vw99957eHR0dHT0iIc9/OVe+qV+43d+Z2tza7lartbrpzz1abXWW26+6dKlvYc8+EGSbEviuUAFBEDf90dHy8c98Ykv9uhH33bHHTffeNM99927sdi47ppr+q7rau1qBeazWWt54/XXL5erC7u7N99w4z333bezvX3q5Mmj5fL4zrHDw8OHPeQhh0dHq/Xq1MmTJeLMqdOShnFYrlbXnD5z9vw5SQ9/yEOXq+Xh4dEN119/w3XXbW5u9l23Xq+nqW1ubpw6caLv+lrq1Nr29tbZ8+c2NzbTvvGGGxaLxd7B/vFjx268/vrzFy8eHS03FvNxHE8cP3bN6TPjNNZabN90ww2bi4XtzY3NiLjm9On9g8OTJ47PNzZ3trc3Fosbb7g+MyVtLBbHjx07dfIkl0nieYEO9y9wmaRxHG1vbW4eHh11XddaM/RdN01TKWUYBklI2IvF4rY77qil3Hj99YdHR7XWcZoW8/mlvb3zFy487CEPGYbBRmJqbT6b2Z5am8ax1BpSRNgWrIdhsVhM0yTJdiklM1trtVbbQGut67rMbJm1lMystR4tl4v5vLVWa12v1xEhicskAeM4zufzaZpCUsRyudzc3Fyv1xEhKSKAzARaa7VWQFJm8oKADvcvcL+IAMZxrLXa5gEkAbYBIO1aCtBaKyUyDdiWVGsdxlEgictsc1lEALZtA5IA25JsR4RtALANSJKUmZIkpS2wHRGZyWWSuJ/tiLAN2AYk2a6ljNNUSslM7hcRtiVlJpdJ4gWByv0kDcMAbGxsTNOUmbVWZ7bMiFitVovFotaamZKcGaUArbVxaiWilCIJO1ubdZ2klmlbkkCSpKm11pqkElFKaa2VUsZpKhERsRqGEgHUWjMzIjKztTbr+5bZWgvJdinFdtd1tjNTku2IAGopy9Wq1loiWmYtZRjHWut6vd5YLKbW+r5vrYWEtF6vI0JS13W2QxqniRcEKvez/Wd/9VettUc89KFTa7bPnDrVMo8fO3bHnXf+3eMef83p0zfdeENEtNZms9nupUuzfpbZgIu7u7fcfPPRcimYzWbL5XI9DMe2dxQaxxFoLe++954br7/hhuuuffyTnrSxWHRdt1gs9vb2rrv22kt7e1NrT3zyk0+fOt333fbWVt/3R0fLrc2Nra2tW2+//Y677jp98uTm5ubu7qVHPOyh4zQdHByUUu6+596HPPhBkpbLJXD7HXfu7Gwf29kZp2lzsbi4u/uwhz70r/72by/u7j7q4Q/fWCwu7e3t7OyM43hweDjr+0t7e9vb233XhWI9DGdOn+IFgcr9bF+8uHvq5Mm/f/zjT544UUv9oz/909d77deuXXe0XK5Wq8Ojo79/3OOOlquj5fL4sZ1pmkopXdcdHR2tVutbb7vt+LFjt91xx/FjxyOUmX3fnzt/fjFfzGaz+aw/e+78g2+5RaUMw/iXf/M3EXHdNdecPX/+zd/ojZ566627u5e2t7dvv/OOYRguXrp00/U3XNzdfamXePHlavWEJz1J0mMe8chf/a3f3Fgs7r3vvvl8Nk7TfWfP7WxvDcOA2Nvbv+/c2ePHjh0eHT3t1ls3NzbOX7jYdXV7e7uWeunS3q233b576ZJEKEopD7rl5sc98Ynnz1+YzWabmxuttXvuve8NX/d1r7/ummEYJfFcoPIA1117zcu+1Evddscds9ns7LlzD7rllt3d3Y3FYnNj45EPf/hDH/ygO++6e//wYHf30jXXnKmlSLp4cXdzY+NouTx54sQ1p08vV6vTp04t5vNa63o9AFubWyeOH+u6bmNj89bbbuu77tjO9vXXXpv2TTfceGlvb7lcnjp58pozZ267/fZjOzu11K52N95wPeLo6OjaM2e62i0W85Mnjp86cfL6664dpykiDg4Pt7c2b7juur39/XGcEKdOnjxz6vQ0TX3ftdYefMstGxuLlnnNmdOZuX+wf2xn57prrzk6Orq4u7ter0+dPAlsbmxec+b0crUCbW1ttpaSeF6gw/0L3K+Ukpm2Jdmuta7Xa0WUiIhorUmSNI5j13WZKUlShNbrodYqqbUGRITtiMAeW+tqzcxa6513331sZ2dzY0OwHoaIsF1rzcxSynq97rquljKMI2C7lBLSMI4RERHANE193wPTNEkqpUzTJIkHkDRN06zvp9Yk2S6lrNbrWd9nZillmqZpmhaLxTRNmVlrBcZxrLXa5vkCHe5f4H62AUASkJkRYVsSz8k2lxkEkmwDEZGZgKS0BZJsS7I9m83GccxMQJIk27YlZWYpJTOBiLBtm8skAbYlScpMSbaRBLa5nyTbQES01iQBkjIzIrgsMyMCyMyIkGQbkGSbFwR0uH+By2x3XRfS1No0TbWU2nXTNJVSxnGUlJm2kfquAwQts9Y6jmOt1fY0TZk5m82ytam1vu8z05lImVlK2d/f39raEhiAaZpqrbWUcZpqrdM09V03TlNrLSL6rptas40dEYoYhiEza62ttVnfpz1NU9d1tiVJGoah1hoR0zR1XTdNU611mqZaa5umlpmZfd/bFhimaZLEiwLKp33qJwG2a61nz507d+EC8KSnPvXkiRO33XFHKeXS3t5d99xzcHD4p3/5l33X3Xf2bCll/+Dg0t4ecMddd20sFnfdcw9w5113LVerYRiGYdza3Lzz7rv/9u///vjx4+Mwzmazpz7t6U988lMOj462t7amaTp/4cJd99xz59137x8cHNvZueOuuxbz+a233TabzWZ9P4zj05/xjIjAPjg6+vO/+qvFYvHUW29tre3uXrq0t2f7aLnc2d6+7+zZ1Wq1t79/6dKl48ePHx4d/cVf/VVE7O7tlVLuuPPOruvuuPPOjcXi6c94xjhNrbXDo6PDo6PVer2xsWGbFwXocP8CIGm9Hv70L/8iM8+eO9f3/ebG5vFjO3fedfc115y57fbbT544UUrZ29+PiI3Fou/7u+6+59jOzmIxH8fx2M7OieMn/vQv/vzmG2/cPzh80C03P/iWW/7sL//y6Gh56uTJUsqjHvHwv3vc417mJV/yd//gD06dPBmKJz/tqTvb26ATx4/ddc+94MV8ccN11z38YQ89ffr04x7/+Ftvu20Yxuuvu3Zvb39vf39nZ/vg4HA+n9139uyZ02eGYX361KmXecmX/JGf/Kljx3Zm/UziVV/plf727//+4PDw8OjophtuuOOuu47vHBuGodY6tXbh4oXjx45duLh76uTJzDx+bOdVX+mVhmGQxL8IKgDY7vtu1vf33nf2huuur7Uc29nZvXTplptvuvnGm1ar1fXXXrdYzO87e7a1dub06fl83qZ2zTVnThw7dmF39+joqJS44frrr7v2uo2NvfV6WMznfd8v5ou+7y9cvLCxWDzkllt++hd+4ZYbb+pqt3948KCbb+n7zmYcx4c++EGHh4enT506PDq6+557W2td1+3vHzzqEQ+/uHsJcfzYsb7vtre2IiIirjl9ehjGo9Wy1nrj9ddvb2+dPHFimibsYzs7q/X6phtunKbp5htvvOG66+64667rr71u99KlEnHdddcuFotTJ05MrR0cHNjmRQQ63L8A2O667qlPe/re/v7LvNRLDsPQdd0wDLPZLDNtZ2YpRTBOU61V0jRNEWG71roehhIhKTMNtRSgtSYpIjITKKUMwwDUWoGIGMex1jqO42KxWK5WfddN03Rpb282m7XWjo6WN99043q9jojWGlBrtW07Mw0lQhJ2yyyl2Oay1lrf96v1ej6bTdNUIlpmrXWaJiAiWmtAKSUzeRGBDvcvcL+IiIhxHCVlZkRkJiAJQHKmIpyJVCJaa5JsSwKAUort1pokSZkJRISkaZpqrZKmaYoI26WU1hpgW5Ik27VW25lZIoZpKhG2a62ttYgIKTOn1mqtmZmZSCFlpiTAtiTbEZGZgKRSyjRNERER0zRJ4rJSSmuN+0niBQEd7l/gfrVWwDYQEdlaKQUJO+1pmvq+ty1oma21Wd+nnZkRAdg+OjoqpWxtbq6HAehqlXS0Wk3jePzYsYPDw3Gaju3srFYrSUdHRzs720IGSethmHXdcr0WLBaL1lpIwzhKurS3d2xnZ/fSpWEYtjY3T508eeHixcVi0XUdYFvSOAyK6LrOtjNbZkil1tba3v7+iWPHxmk6PDo6cezY1JrtiNjb39/Z3hYgtdZaa7wgoMP9C4DtWuuTn/rUcRxPnzqFtLe3d/LEifvOnhvG4djOzp133dVaXnftNbZtLxaLW2666S//+m+2t7e2t7YvXLxQSjl+/PgwDBcv7rZsD3vIQ2w/8clP7rpuZ2t7GIflanVsZ2ccpwhd3L3UdXW9Xp86eXJqrURZr1cv+eIvfvc99/zN3//9g26+eZymk8ePn7948bGPenSEfuJnf+5VX/EV/uQv/uLo6OjlX+ZlgNlstn9wsLHYODg8OHPq1LkLFx71iEcMw/CkpzyllHLi2PGdne1hGO66556tra1ayjCOoTA+PDw8dfJkidjbPxjGYTGfSwLN57MH33zzOE2SeF5QAaBEHB0d3XHXXSXitjvuPH5s5+Dw8ElPfepqtbZzY7F4yIMedPe99/7ZX/7V6VMngb7rrzlz5r5z5w6ODm+97fb7zt63tbn1Rq/3uucvXvyHJzxhHMdTJ0/avri7u7GxceHixeVydeb0qac87embGxsXd3e3t7f29qeLuxfPnjt/3bXX3HHnXbYf8bCHPeVpT99YbPzl3/xt33U33XjD7Xfe+dAHP/i+s2eXq+VTnvb0W266ubV2tFz+/eMff/211wKbG5tPedrTHvnwh995111nTp1qmRcuXtza3Lzv7LkTx4+dO39+c3Pz6Gh58dLuzvb2wx7ykL/5u7/b2NjY3z9YrlfnL1y44brr/v6uu8+cPh2hEuXBt9zCCwIVAJq9sbFxw3XX2Wxvbd51zz0v85IveenS3vb21t333nvm9Ontzc2u6645c2Zrc7O1tlqtQzGMw8Ove0hmnjxx/Myp07PZbHNj41Vf8RUv7u6eOXV6GIeXeLEX62pdrlbTNB0/dmxvf7/ruu3zW9tbW8Dh0TXbW1snjh8/c/r0crXa3Ny85eab7jt79jVe9VUuXbp0w/XXl1JLxHw2f5s3f/MLFy50Xd919eDw8LGPevQ1p08p4vixYxuLxS033zSb9bPZbD6bvcRjH1tqdfq+s/fdctNNN1x//Wq9zsz9/YNhGB71iEc88clPfvHHPvbw8PD6a6+95vSZG667bjabAYeHh7Yl8XyBDvcvcL+u6wDbJWJqLSIyMyKc2TJLKYK0gVLKcrUa1uvjx45lpqS0p2mKiIiQmKYmKSSDJKC1VkqxHRHY5pkyWyiQxnGstdZSMhNomV2twzhGhO0SYdsQERKZxk67lNJaq6W01tIuEQZBlAK01gRIkgTrYVgPw7GdncyUlJkSmRZEKcMw8IKADvcvcL/MBCQBtiVJaq1JKqVIAlprkmwDXa3rcSwRQNoCQBKQmZJsgyRKKRExjmNE2I6IzIyI1lqtxWaaWlcL0jiOgCQgM7uua63ZlmSbyyIiImzbBjITqUS01ngAgySBbQCQJKm1JgmwXUoBWmsRISntkHheoMP9C9yv6zpJ6/Ua6Pt+GIapte2trWmalsvlej3Yub29PY5jKWVjsbh46dLO1tZytWqtLRaLWmtrbbVaZebOzk5rLSKyNcO99903tXbtmTPL1apEjOM0X8wPDg5Onjixe+lSRBw/duzi7u7BwcGNN9wAZGYtJUq5uLu7vbVVS1mPY991kgS7e3vjOM76vuu6cZqO7+wcLZer9frEsWNpZ6YkAaK1bK11XWdbEoAdEWljl1r29w8iYmtzc7VeA33XDeNom+cCOty/ANiutT7hSU8axvHOu+5+jVd9lWEY/vQv/uL6664bx/ERD3vYweHhnXfdZTOb9cvl6vSpk9M0nb9wMUI33Xjj3/z93z/yYQ8H717aOzo6euhDHrx76dKx7e1z5y+cOHH84Q996F/97d8+47bbH/KgW+66555bbrrp6c94xks89sX+6M/+9FVe8RX/+M/+/OSJEzdef/35ixdKKS/3Ui+1t79/bGfn3rNnL+3tzfredonykAff8oQnPeXS3qXNzc2+6+64865jx3YwXVfn83kpZRzH1Wq9HtbXX3vt0XIpKe2NxeJhD3nI3/7DP8xnM9vDMNZaLly8uLm5uZjP9/b3SykhSbG7d6nvusV8/uAHPWhrczMzeSCoABARwzD8+V//9cnjx2uts77/+8c9bnNj8wlPevJ6WJ88caJEueb0mVLL45/0pBLlzrvvvuOuu3a2ts+cPv03f//389ns8OjwyU996nw2v/66a//+cY87c/r039x224njx4f7xltuumkcx5tuuOEJT37ybDY7f+Hi0XL1xKc8+czp03/0p392bGdnmsYLuxenceq7fhzHUkopZW9v7wlPetJNN9x4aW9vuVo+6pGPuOe+eyNiPQyHh0ezWX/+woX7zp27+YYbh/GcncCsn5Vanvy0p91519033nB9pruuXnfNNXfdfffDH/rQpz/jGSVib//gxInjly5devqtzzh9+tTu7u5ytW5tOnH8xObGxpOe+tTFYuP4I46t12tJPAvocP8CYKilPPmpT+tqjYgTJ44Pw/DUpz/9phtuOHf+wsMf+pBxHA1CpZZs7c677xnHcbFYHBweXHfttdM0HR4eLVfLUydPrlarYzs79509u7W1dWxnZxiG66699olPecp8NsOUEkfL1U03XH/uwgVJ4zDO5/NxGm+56aY77rrr0qVLL/FiL3bvffcdP3Zs/+Dg9jvuPH3qZGZKuvaaay7u7kZEZi5XK6G+73b39ra3tsZxXC6X21vbfd9LAl+4eHFzY6NlLpfLF3/MY/7hCU/o+x5YrVanT5027rvub/7u72ez2UMe9KCpTZcu7V1z5vT+wcHB4eF111xz7Zkz4zRJ4llAh/sXuF9Xa9pAa01S13WttZDGaQoJyTYA1FKQbIfUMoGIAGwLDBGyaa1Jaq1FhO1SCiBpHMdaa2aWUrI1pNZaSIbMLKW01iKi77qWCQiGcSylSOIySXaGomVKKqW01sA2AkVkZkRExDAMXddhA0iZabtE7B8ebi4WUYptSZkpKaTMHKdJEg8EOty/wANERC1laq3WOk1TKSUzSynTNLXMEjFNUymlq3WaplJrZkoCWmullNaabdu2JdVap2mSZLurVdIwjpK6rmut1VKm1iQJxmma9X3aETFNU601M4dhKKXYzsxZ3yMNw1BK1NqN41hrnaap67ppmlpr89lsnKZSiu3MLBHjNKUdUtoCoNbaWpOUmaWUzLTN85DEc4HyaZ/6SYDtvuue/oxnnL9w4bY771wsFn/79/8wm/VPvfXW1Xp9x513dV3tar337NnTp07t7e//zd///WKxeOJTnjJN09lz586eOxcRT3/GMy7t7dne3tqSZPuue+45tr2N1HX1Gbfdfuvtt19z5sx6GP7hCU/ouu5xT3zirOvvve++8xcvXnvNNX/3+Mcvj46e+vSnz+fzJz7lKcvl8rprrrnz7rtrrZsbG095+tPvuOuu66699q577vmbv/v7k8eP33rbbdM0/e3f/33X95sbG3/8Z3+2vbX15Kc9bXl0dLRa3Xr77adPnqyl2I4IYD0M99573+bmxoWLu/2sjwjbkiRJkiRJkiSeFwT3a5n33nffmdOnM/Mv/uqvNzc3nnbrrcd3du659969/b3dS5da5p/++V/cfc89m4uNjcXGn//VX9VS77jzzvl8fv7ChT/587+46667p2k6e/78bD4/PDr64z//87/9+7//vT/+49/6vd8bx+nYzs7Tn/GMYRwf/8QnPuVpT18ul8d2dv7+CY//m3/4+7Pnzgn29vb2Dw53trf//K/+qkS5+5571sNw1913/+lf/AWwvbX19FufcXB4eN011wzD8Iw77vizv/yrkydODONYS3nq02/d3tr6wz/502mazl248Hf/8A+Pe8ITp2l6+jOecdc99/zJn//57/7BHz7t6U//y7/9mz//q7/6s7/8y8c94Qm//Xu/v3vpUinFNv8iCO4nqLXee999585fuOXmm8+eO79YLB7/xCddc+bMdddeW2s9f/78hYsXdy9dmtr0lKc97aEPfvDF3d3ZbPa0p98662enTp5AXNrbc/pgf3+9Xg/D0Pf9PffeN03N9v7BYYkyDsN8NpvPZxd2d5/69KffcN11mxsbR8tly7zx+uuHYXja02996IMfvHvpUkS01s6eP3/23Llxmg4ODyMk6d777rv2mmsA4LY77tje2rrxppsitHtpb3tra7VajePY9/18NmutHR4dPe4JT7y0t3/jDdffdc+9Z06dWq3XR8sjSQeHh/eePVtLMS8C0OH+BcB2rfXsuXOHR0e2r7vmmrPnzp08efK+s2e3tra2NjdLRGvt7Pnz11977TCOd9199w3XX3/p0t7W5ubewX5EHN/ZubS31/f90XLZWnvkwx729Gc8o+/72Wy2Xq+vu+aa+86dW6/X1193XWvtnnvvO3782D333nvtNdes12tJZ06fXi6XB4eHF3cv3XDdtbt7exuLxckTJ+66++5SyjVnztx39uzU2g3XXbe3vz/r+8VisX9w0Frrap3P55l52+133HTjDefOn5/P57WU/YOD66+7brlcnj1//uTx46XWaZpsZ+Z6vd7e2trd2zu2s7O5sZGZ/ItAh/sXuF+JUERI4zTVWltrXa0tW2tpW1LXdeM4Suq6OgxjrTVbi1KA1lopJVszAK21vu9tO1MR4zh2tUoaxlFS13Wtta7rxnGMCOxxmiKiRJRax3EspWTmNE191xmGYej7XrAehlprZmZmKQWwbVtS3/fDMHS1ZmbapZRxHEsptdZpmmyHZJAUUssspbTWMpMXBehw/wL3s11rFUytScpM2xEBlFIys7UWEUBIkqbWQmqZEWEbkGRbEmBbkm1JkmyXUiRN0wTYliTJNpfZlpSZEWFbEpfZ7vt+HEdJfddNrZWIlmm71urMtFtrtiPCNlBLMWSmbduSANuSbAOSbEviRQQ63L/AZZIEd91772q1uvH66y9cvHjD9dfbHsex67p777vv2M7OfD6fpqmUsre/f3R0dOL48VJK3/fr9brrOmAYx77rWmu11tZaZtZax3EspS5Xy3Pnz0fENWfO7F66dOP11y9Xq0t7eyeOHbMdEbXWqbUitcyIaK2VUlprR8vlpUt711937dFy+cQnP+UhD7rl9jvvvP7aazc3Nm+9/bZSSinl0Y94xDRNrbVa697+/u7uJfDOzs7O9nZEAJlZax3HsZTCvwFU7tcy/+bv/u6uu+9+zKMe/XePe9xdd99z4/X3bG5uDsNw/uKFWurm5saZ06cvXbp07vyF5Xp1bGfnrnvuaa1FlPMXzj/20Y8+vrPzh3/2ZzfdcMN6vT48PMz0K738yz316U9/+jNuWyzmx48du7i7a/O0W2+dpun2O+60cz6f/8PjHj+M487Odkhnz51/vdd6zWPHjv313/3dhQsXTpw4cenSpdls9pSnPf11XuM1Tp86WUq5uLt78sSJu++99yVf/MXvufe+WsrGxkLSX/3t356/cGFjsbG9vXX+wkU7j+0cy8xay/7BwcZiAxxRXvHlXnYcR0n8q0AAgKRpmo6Wy77vH3TzTUdHy1qrQk97xq0t2513392yHRwePvHJT7773vvuO3dua3OzlnLu/IWIOHf+/M033nh0tFyt121qFy/u3n3vvXfdc89isTh+7NgwjmfOnD5+7NiFixdD0XX14sXdiIjQvfedPX/+wnw+u+6aM7XU2++8s5Q4f+HCMAx919179uzZs+cknb9w8dprzsz6bm9//xm333bNmTN/+w//cPLEifVqdeL4sRtvuP7i7qWDw8Na65nTZ7a2Ns9fuNDV2vf97qXd1qZLe3sbi8XGYr5eD/fed980TZL41wId7l8AbNdaL1y8eLRc3nDddeth2NvbO3nixDAMmXlweHhsZ2ecpqOjo8VisVqvtzY2Vuv11ubm2XPnz5w+1Vr2fXdpb+9JT33qy77kS+4fHEjaWCzm8/l6vc5MpMzEjohMr4f1bDY7Ojra2tw0SJLUWhuG4dz5C7fcfFNmHhwcbG1uXty9dM2Z04dHR33fZ+a58+eP7ewcHB5KWq1WD7rllosXL0bEmdOnDw+PEEBmAk7PZv3FS5f6rtvY2HDmcrVqrZ06edI2/1qgw/0LXGa71hrSMI4RUSKm1iRJiojWmqQS0TIjIjMlZWYpJTNtA5nZ1WobSVJrLTMjApAE2JYkUERmSrJtm8skRURmZmZERERmllJaa4BtSbWUllkiWqZt2yUCGKepRJhnipDTaXe12m6ZtkspwDRNSNhcJgmwLcm2JJ4vCJ5Fsm2ICEmApFprZtq2LWmcpohorWUmICmk1hpQSimlILVMYBxHICIk1Vqn1iSVUjJzam0YBtuA7VoKUGvNzGmapmmqpdgexjEzp2kax1FSrdV2y2yttUzANpB22pIMQEi1lHGcopRSyjCO4zQBfde11oBSSi1lPp/XWrtaJQFd14XUdR0vCJRP+9RPAmyXUg4OD//hCU84e+5c3/fL1eqe++67+557Tp08ee7ChflsdnF3t5Ry9vz5Woqk3UuXxml68lOfulytQto/OJB0/sKFWd9f3N3d3NhYD0NrbbVaXdzdzcy/f/zju1rvvvfeWuvJEyeOjo52L12KiLPnzvVdd/e99x4/duzJT31q3/fDME7TNOv7iPibv//7W59x2/7B/tlz50+dPHnu/IX5fH7u3Pn1eh0RmblerQ6PjjYXi+V6nZkHR0d7+/vDOP794x+/ubFx6+23H9vZAW6/666tzc0LFy9m5jCO//D4x5dSVut1rVXS+QsXopSLu7vz+VwSzwt0uH8BkDQMw5/91V9d2tt72Zd8yTvuuqtlnj177tjOjqTlarm5uXnnXXcd29k5fuyYpNYacNc992xvbW1vbS1Xq82NjXPnL2xtbfZdd/7CxTd5g9d/wpOeXEo87dZnLBbzWd/vXrq0WCzOnjv3oJtvuebM6Wma/vYf/mFne7vrumlqERGhc+cvnDh+7PyFC9ddc+0bvO7r3Hvfff/whCe83mu/9h/80R/dc+99N95w/X1nz66H4ZrTp89fuHjjDddn5lOe+rS+79/kDV7/8U98UtfVp936jO2trVrLpb29xXxx1z33vOarvarQE578JNDGYj6MY2bWUodxuPe+s6/08i9/zZnTv/5bv/2SL/5if/k3f/MyL/lSj330o1arlSQeCAIAbJdSZn0/6/vTp05tbW45ffrUSeDkyRN939s+c+r06VOnHv3IR25vbfd9HxGbG5vXXnNN13WbGxu2b7j+uofc8qCtra1SYrVeb25uPOP2208cP/6oRzyilHrjDTdsb23tbO+cOX3q5htvXA9DrXVne/tRD3/4YjF/9CMevrm5eWxn+9oz15w4fvzE8WO333HH8WPHZn3/W7/7u7O+f6mXePFxnFrL7a0t25KOlsvdS5fOnD59+vSp+WxWStx+553XX3ftwx7y4FLKTTfeuLGxOHnixLGdnXEaV6v1yRPHSyl93z/o5psf8bCHLuaL06dO7mxv9X2/tbV579mzs9ksQtg8L9Dh/gUui4hxmlprs763vV6vNzY2Dg4PNxaL9Xq9ubFxtFx2XWc7IiJiGIaIMAgkDcOwWCymabKdmX3fO3MYx77vMzMibNturZVSulqn1qZp6rouMyMiM2ut6/W667rWmm2gqzXt5Wq1ubHRWouIYRjm8/nh0dHd99z7oJtvAkopwzDMZrOWOY1j3/eZGRGZCUzTtJjP7z17drVaPewhD9nb3++6LiJapqC1Vmu1PU3TbDZbD0PfdbZ5XqDD/Qs8J9uSJLXWSimZGRGZWSLStg1IEphnsh0RLTMkQ0iZCUgyCGwDkiTZti0pImxnpiTAdkQAtgFJmRkRkjITkCQpMyNCku3MlCSptSZJkm1JmSkJkGS7loI0jmNEZCaXSeJ+kmxLss3zBcH9bJdSuq6LCNvAbDYD+r6vtZZS0pY0m826rrONVGu1HRGzWW973veSZl0HdF3X933f9yVCUiml6zpJQImotQLDOK6HYdb3gKRSCjAMg6RSSmut1jpOE2Bb0jCOwzC01lprIa3W61rKOE3TNHVdJykiJI3j2HUdANi2fXh0NI6jJNtd10VE3/eSuq6LCMA2YJsXBMqnfeonAbZrrRcuXry4uxsRT37a006dOHHX3Xf3fX/v2bN7e/ubmxtPffrT9/b377z77lrr3ffcW2vd29/f3traPzi45577dra3b7/rrtlsdvc998zm893d3XPnzz/t1mfs7Oy01tbr9cHh4e133nXHnXdubGwcHBycOH78abfe+vePe/zF3d1xmtbD8Dd/9/c7O9u/90d/tFqv9/b3//Jv/3Yxm/313/0d5rprrz1/4cIf/PEfz/rZ4574xPvOnrvz7rvvuvuuKOVv//4fjlZLocV8/tu///vz2ezvH/f41Xr1pKc8de9g//Y777zn3nvPnju/sVhsbW2N43j23PnZrL/r7rtns9nd995ba+373jYvHFQAiIjVavV3j3tcZl64eLGWet/Zc1ubm3/zD/9QS43Q45/0pN3d3cXGou+68+fPb2xs/M3f//04jm/1pm/ypKc89fDw8O8f//gzp0/93T88btb3T3zKUxeL+cnjJ26/804w0pOe8tRay/bmluGptz69lPKWb/Imh0dHOzvbT7/tGWfPnzt+7NhTnv602tUXf/RjjlbLJz31qUdHR0inTp48e/7cox/z4qvVarVeLxbzi7u7p0+d2t7cGkKPf+KTHv3IR9x2xx3XnD79uCc88dZn3PYSj32xG2+4/p577z134XyE0r5w8eLpkyeXy1U/X9x5991/9hd/ec2Z00j/8IQnAqdPnXqFl32Z1pokXggon/apn8RlEXHv2bMXd3ePHzu2vb198sSJ1Wp9/NjO9dddd/LE8Qil88EPepDg2muu2dzYWA/r7a2tRzzsYU+/7RnDOJw5faq1Np/NH/LgB4ViGMed7e2NxXy1Hvb29o8d29nc2Dh54sR8Niu1HN859pAHP+jixYtHR0cv/tjH3n3PPfPZ7NGPfOSlvb2z5871XXfy+Anbs76/tL8P6mssFou77r57Z2u767pXfrmXWw3rO+688/prr7v7nnuncTpz5kwpYTukxz3hiY999KNW6/Vivuj7ru+6ra2tcRyEtzY377r7nsXGQrBYzB98yy2lxInjx21L4oUAHe5fAGx3Xfekpzxl99KlV3jZl12v17PZbLlcbiwWU2u2u65br9ellMyUFBEhrdbrjcXi6bfdtrO9feb06b39/Y3FYpqmWut6vQZqrZkJdF23Xq/7vgdsj9PUd916vc7MjY0N7LT7rhvGcbVez2eziFitVrPZbBjH9Wo1jOOZ06cPDw8lLRaLzJymqbW2vbV1cHjY930pJSRJ62EYxrGWYigRtiWN43hweFhrPbazMwzDYj4/ODraWCxaa5Js8y8CHe5f4H6SSsQ4TZIys5TSWosISa21iLAtSVJrTVJEZGYpBXucplJKZkoCJAG2kQSZGRGZKclQImzXUqbWMhOQlJm1VqC1Jikiaq2ZCQhaZt91U2tASIbMbK1FRGbaNggkRQQ2km0ukxQRtjNTUmZGRNriRQY63L/A/bquk2Q7M0sp4zh2XTeO42q9Pra9PbVmOzOHYdje2ppaG8cxIrpap9ZqrZkZEbbHcSyl2K61ZNp2RNgupbTWSinjOLbWDg4OT58+1doUEZmOiOVy2XVd13XDMAB33n338Z2dru9DmqZpb3//+LFjR8vlMIzG15w+bbvWWiJaa7XWzJQ0jCPPw7Yk/s1Ah/sXuEzSk5761OXRcmdne2tz89Le3j333Xfm1KnM3NjYWK/X8/n85IkT9509e3h0NJ/NNjc3b77xxnEcn/DkJ19/7bX3nT27vb29t7c3m80e+uAH33f2XN93586fn/V91/WHR4cbGxv33nvfDddfd/c9977YYx9z8eLFO+++e2tzc3NjY+/gYHNjw+nHP+lJj3z4ww4OD1/qxV/87x//+IPDw8VsbnzTDTf81d/+3dHy6JozZy5cuPCwhzxk99KlRz7sYadOnbrv7Nn7zp69/trrbrvjjtOnT+3u7j7y4Q+XxH8sqAAgaRjH2++4s5ZyaW8vnXfdfc/11117z733XXvNNX/79//woJtvbpl33XPP4eHhOE33nT37iIc+7EE33zy19vRnPOO22+84eeL4rbfd3ndd3/fXXXvtU5/+NEl7+we2Nzc2nvr0pz/o5pu7vvv13/kdp2+4/rrW2t7+/jRN0zSdPX/+4OCw62pX6x/88Z90XX34Qx6yv7//8Ic+dL1eP+0Zz9jb2x+GdVfr4cHhMIzHjh1bLler9brWenH30hOf/JSnPeMZly7t3XzTjffdd/a6a689eeLENE2S+I8ClfuF9OhHPqKrNTPvPXv22M7OiWPHh3G8/rprNzYWF3d3j+/srFbrzcXGqZMnzl24sLFYPOFJT3rUIx5x0w03LBaLYRiOHTt26sSJYRzns9npU6cv7V161MMffv7ihVLKS73Ei4fiCU9+8su8xEuu1qsTx4/vHxxsb211XbexsXFsHK+/9rppmo6WRzffdOPh0dFiPn/UIx7x13/7dw958IOuOXPmjrvvepmXfMlbb7vt+LHjm5sb11977fnz5y9c3J3PZtdec+b8hWuvOXNmd/fSjTdcX0uttWIj8R8IdLh/gfvVUgyCKGFjG8jMEmGwHRGAbUnr9XoYho3FQhGllMyUlJlAa63WGhGttVKK7RJxz3337e3tP/QhDwZaa7bHadpYLDIzJABAAmxP0xQRtVZnApLSBiRl5jiOpZTlctl1Xdd1pRTAdmbWUqbWWmuS+A8EOty/wP0yk+chKe2QDCHZzsxSiu2IyMyIaK3ZliTJtiTbtiPCNiApImqt4zjatt3VijSOYymltWZbEs8iiWdKWyAJyHQpAWRmrdV2ZqYtnkOttbVmOyIA27Yjgsts8wCS+BdB5QFmsxl22hEB2A4pM0sp4zSFtFqvFbG1uXlhd3d7a4vLjpbL7a2tUkprLTMjIiJsSwzD2NVqez0M8/l8mqZpmiJiY2PjvrNn+67b2traPzjY2dqKUjLTdolIOyLGcbQTNO/71lprzfbGYnZ4dNT3/Ww2W6/XQK21lpI2IGiZtdZLly5tbGx0Xbder23XWmut0zi2zIiotU7T1NWatqRxHG3zwoEO9y8AtmutT37q0yI0n80Oj44iopZ6eHR45vSZ8xfOHxweRpTM3NraFGQ6QqXUZ9x+20033lhKOdg/uPaaM/P5/Gi5PH/hwqmTJy9e3H2xxzz68PDwz/7qr04eP1Fruf6660Lx+3/8x6/8Cq9w+513rNfDar269swZw2q12trc3NnePnvu3NbW1nK5vLS/f/L48Uc/8pF/+/d/n/b+/v7rvOZrPP6JT3rarbc+/KEP3T84eJmXfMnf+f0/uPaaM+M0bW5srNZr7MVisVyuZrP+6OioZT72UY/qu+7chQt333Pvpb1Lp06efMTDHva3//APD3nQg259xm2nT5+6ePHiQx/84I2NjczkhYDyaZ/6SUCJWK1Wf/P3/3DTDdc/8clPedwTn5gtNzY2/upv//b2O++4/tprS6133nX3vffde3h4GBHAHXfddWH34uZicXH30oWLF8ZpvPOuu4dh+Mu//duLFy+2lk9/xjMe/KBbnvK0p03jdNudd95+x53bW5ubmxv33nf24u7F/YPDe+6959j2zsHR4YULF50+XB797d///d7BwaW9/a7r7rn33oc/9GHnL174/T/+kxJx7Nix4zvH/u5xj6u1Pv6JT7y4u/vgBz3o8PDwqbc+/Z5777148eL29vbe3n7L9ud/9dfTNB0cHk6tzfrZ6Wuu/YM//qOn3Xor6MYbbuhq/fO/+qtz588/7dZnCG67447t7e0zp05NrUniBYEKAGkvFotbbrpxb3//mmvO7Oxs33j99cBDH/ygG66//uLu7jWnT/cP65bL5fb29s72dmttY2MxjuNiseCyJz75yQ950IMPjw5f7ZVeaXf30g3XX9d1NaQH33LLE570pFd42Ze5uLt74w03LBaLY8d2rj19Zu9g//rrrt1YbEzTtLm50dVq+4brrlut1qdOnuz77uSJE5nt+uuue6kXf7Ebb7jh8PBw1vc3XHfdMIwPvuWWg8PDrc3Na86cWSzmwzieOHZsY2MjM/f3D17s0Y86c/p0KWVrc/OpT7/15InjL/HYx544fvzaM2emaZrP57fcdPM1p09dc+bMDdddt1gsNhaLtHnhQIf7F7hf13W2Q0JqrQGlFNvYtiUhOdM2kqSIcKZxKfXi7u58NlssFtka0DJrrdM0AbVW20CbJkPXdXYKGWwLDLaBiLBt23YppbVmu9aamZKmaeq6TmCwPU1TKSUibGOnLUlSRDjTNtLh0VFXa991ktIGWmtd1wHYLbOU4sxxmiTxQoAO9y9wv8zkfqWU1pptSdzPEBJgmyskQcucz2aZmZmZCUgCJNk2CABJQNriRSXJNpdJss39JNnm2QTmOZWItG1zP0m2eU6SeOFAh/sXuExSKWETEtLe3t6xYzug1hpQSrEtGMZRUtd1mWnbtu35bHbfuXMR0dW6ubkpGMaR/0tAh/sXAEnr9XDh4sWuqxd3L7U2rdfDbD5rrV175owU99x376zvl6vViz360avV6slPe9o1p0/3fd/VDnHnXXft7e9Lms/nfddJerFHP3qcJv7PgAoAmbmxsfj9P/7jCJVSbr/jzuuvu/bue+49trNzcXc3M4+Olo991CP/7K/+6kE337x76dLf/P3fnzl1+tjOzpnTpzY2Nu47d25rc/NouTx7/vylS3unT5285eab57MZ/2eADvcvALZnfX/bHXcqtLe/v16trzlzevfSpc2NzXEaL+3t3XDddVtbW497whNe7DGPOTg4vPW222668YY77rrr4Q9+SNd3zrznvvsy8+SJExcuXpzP5xuLxcmTJ0Pi/wbQ4f4FLrPddR0gSVJmSsrMiAiptdYy+64bp0lSLaVlllKmabINlFIA25KcaWit8X8G6HD/AvezzQsmKe2QbBsEBoEk2zwPSfyfAZUHkMQLFRIgSQCIZ5LE/20Q/Cezzf8BUHmAiJA0TROXSbINSJIEZCYvMkmSaq2tNdtARAhapiQAECC11niRRURm8pwkScpMnochJNuSJAGAbds8J0m8IFC5n6SDw0Pbx3Z2JNnOTEmSWmvjOErq+76UIqlNE5IkICIyM1srpaRdIlqm7dbaNE0XL+5ubm50XZeZ62FoU9va2livB0kRMbVme2OxkCQJGykzaymtNUW01kopmS2iSDh9tFxubmzYRhKkLTGO0zAMGxsbEZGZtkspzmyt1a5brVaz2WwYhmEYJAGllL7vsZGcGRFTa5nJCwKV+9n+87/6q1rqQx/y4GxtNpstFov1eh2Ko+WR4b6z526+8Yajo+VqWJ8+ebJlTuOItH9wsLWxsb29feHixY3FYrlaXdrb21gsHvOoRx0cHv7DE55w7NjOMIx9391+552PeeQjTxx/+G/93h/MZv0wDLO+H4bx1V75lf7ir//mzOlTG4vFOE5bW5vnzp8/dfLk4eHh8WPHdi9dOnbs2P7+/nK1uu/s2ZtvvAnoupr2NE0bi8V6vb7pxhtvve22EmU9DFubm6WU3b1Li9n8+LGdC7u7wzBc3L30yIc/7Gm33lprPX3y1H3nzj7o5puPlsvM3NzYODw8PHHixPbWVmbyfEEFAEnjOG4sFo942MN+/bd/x/bmxuL6a69T6NZn3HbtNWcODo8u7u7ed/ZsrQW486677r3v7ObGxnw+k6LrurPnzpZSFvPF8WPH7j179mVf6iWBxXx+8sRxKf72yf/w8Ic89CEPetAdd971mEc+8vprr5G0e2nP9r1n71uv15ntqU+/9eYbb3jq029drlZnTp+67+y5i7sXr7v22vMXLlzc3X3ogx988sSJ5XL1lKc/LRSIw8PD48eOHR4t7bzpxhvvuOuuo6NlrTVC4ziVEhGxXq+vOXPmGbffft011/zJn/9FrSUinvr0p4fi3vvuO37s2FOe9vSbbrzh0t7eIx/28Jd4sceu12tJPC+oAGC77/uptSc86Umv9kqv9LRn3HrLjTfdcdddi8X8UY98BHDy5Mntrc2TJ0/OZ7OImKZpc2NzPp8d29kppTh9bHu7ZTt18uRisThx/Pj5CxdmfX/yxImI8vCHPmScxtlsli23t7dsb29vCxaLxaVLlx7+0IceP378zOnTW1urM6fP3H3vfWdOn7rlpptX69VsNgNvbGycOX0aVKJce+01JcpqvbL94FtuqbXu7u5evHSptXbm1On+um4+n6/Wq3Gatjc3W8tLe3vDODzq4Y/YvXTplptvclrS6VOnVqvV6ZOnjh8/NrV2y4033nPfWUnYvCCgw/0L3C8igFJKaw2QZDsinKmIzAQk2Q4JqbUWEbYFUWKaWkRkZtd1u7u7hu2tLUm2u65z5noYaq2ttYgAJGVmRLTWIoLLJEnKTEmZ2dXaWouIqTVAkiTbAiTbtiOitVZKsQ0AkpyJFBHTNHVdN01TKQUbUMQ0TRGBjci0IEqZpokXBHS4f4H7ZSYASJKUmZIiIjMl2bYtybYkwLYk20jYkmwDkmqtmdla4wFKKZnJA9Rap2kqpdgGJGWmpMy0Lcl2RAC2gYiwDWQmIAkopQCttVrK1FqtdZqmUsImMyVlpiTbgCTbkgDbkmxLsi0JkMTzAh3uX+B+fd8D0zRJmqZpNpuN47harWaz2TRNfd/XWltrpZRhGCT1XddaK7W21oCQ0o6IcRzX6/V8Pi+lgEMxtQas1+u+72stNranabq0t3fi+PGDw8OuVtuttdlsNk3TbDartQK2p2kax3E+nwOr1UpSRMznc2caMvPg4KDUOuv7/f39nZ2d3d1Lp06eODg6Cmk2m6U96/vMlAS01iRJysxaa2ZKysxaa2sNmKaJ5wWV+0l64pOfHBEnT5zou+5vH/e4xWx+bGfnvnNnH3TLLU+/9RmPffSj7rnvvtMnT164ePHBt9wyDMNTnva0kydOXLi4m9n2Dw6uu/bakJar1cMf+tB777uv1CpJcHh0dPrkqa6rd9x11/Fjx4ZhKLV2XbeztfW4Jz5x1vfT1BQ6efz4vffd13WdIl7jVV7liU9+cmvt3rNnX/UVXuHpz7jtumuvEdx1z71nz5+75vSZ7e2to6OjcxcuvNorvdIzbr/jwu7F7a2tS3t7N15//X1nz21tbd59zz233Hzziz360bT2xCc/eWtzcxhH4MSxY8M4jtO0tbl5z733biwW62HY3tq6cPGiFBcuXnyVV3yFYRgk8UBQAUDSOI5Pf8Yz+q5/0lOeev1119551103XHfd7XfeubGx+N3f/4Ou7+68+65xHG++8ca77rn3huuvf9wTnvD4Jz7pzOlTW5tbewf789lsHKdzF84fHBzccN11ewcHZ8+du+fe+645fXq+mN92xx2ZuZgv/upv/3Zzc1PoVV/pFTc3N4/t7CyXq53t7fWw7rtua3Pr5ptuvP3OO+87e/a3fu/3zpw+vbO1VWu9+957di9dsr23v19reeqtT7+0t3dse+f4sZ2uq8eO7ayHdWvtmjNnhmE4ferk7qVLwzAeHh52td5733133HXXTTfccMddd7XWSimbG5sXLl6otdq+8fob/v7xjyulXHvNNXt7eydPnJBkWxIPBJX7RcRytTpz+vR1115z37lzD3vIQ5bL5SMe9tDMvOb0meVqeerkyXvvu+8hD3rQOE7jON5y003rYbj+2ms3NjYODg72Dw5uuO6606dOXtzd3VgsDg8P57PZLTffdNMNNyzm86Pl8vDo6PSpU4vFotays7V98sSJCxcvPvXpT3+VV3zFZ9x22/bW9j333QfMZrMTx45vbW4+8mEPu+G669fjsH9wMOv7+Xy2Wq0e8qBbpmnquu78hYvXXXvNcrkch/FJT3nK6VOnjh87dvudd95w3XWPf+KTXvHlXraUYvuJT3nKg26+eTFfRMSxnZ2+64G9/b3HPOpRl/b2rr3mmmG9PnXy5MkTJ2647vpLe3vTNI3jGBE8F9Dh/gUuS/vChQvXXXMNkjMV0VorpWRmKaVNU5SSmbZLRNqSbANASGkDIaXdWrvn3vtuuvEGSbYzs0QoorVWSpmmqUSM0xQRpZRpmmqttiW11myXUjKzlMh0iTg4PLy0v3/T9de3TElgkG3bkqZp6rtunKaIkAQArbVa63oYlkdHx48dSxuQBEjCBhTRWpMkSdBai1IyMzN5XqDD/Qvcb7FYrJZLpFKK7ZDGaer7fr1eA7YlcT/bkiKitSYpIlprgCRgMZ8P45iZgKTWGpJ4tlrK1BqX2ZZkWxJgENiWBEiKiMwEMhOotU6tAdiKwDbUUoBpmoCIAGyXiJYJ2I4IwDbPImFzmSTbgCSeF+hw/wKXRcRtd9xx5tSplnlwcBARwziePnnyGbff8YiHPbRERCm2gcyMiJCmado7ODh54sRqtVquVieOH2+tAZLOnjtXStne2mqtjeN44sSJ9XqdmZJqra21vf39k8ePt8xSwiYzQ0q7lGIbCKllZmaJiFIODg5s72xvT63tXrp04tgxJEHLBLpaz1+8OE3TmVOngOVqNY7j8ePHs7VpmkqtJeLw6KiUIol/A9Dh/gXAdt/3v/Zbv/Xwhz50Z3v7d37/D2684XrbR0fLxWJ+/XXXbW9t/e3f/30/m504duzkiRMHh4d333PPsZ1jtZbVer2Yz9fDsH9wcO2ZazLb/sHBNE3r9TC1aXNjIyL6vt/e2nrEQx86jOPfP/7xi/n8KU972g3XX3/i+PGz586fOH7s4PDwxPHj89nsrnvuOTpa3nLzTU992tMe86hHbW9v/8Vf/fXJEycu7l6cz+cbGxvr9Xq9Xs/n81pK1/XDOBw/duyee+/NzFIK5vTpU/fed5/NzvbW7qW9V32lV3z8E5+0t79339lzr/hyL3vtNdeM4yiJfxWoAGAopdxy883jOF175sz29lZrWWsZp2m7VuxLe3stM6Rn3H7HhYu79507e/21117cvXjx0qWTx0+cPH7iiU9+yvb21u133HG0PNq9tHfD9ddlZinlqU+/9Ybrr9u9tHf23PkH33LL0XJ539lzj3rEw08cP75arf7h8Y+/cPHi8WPHX+olXvz2O+4Yx2l379JDH/zgP/2Lvzg8PLr5ppvWw2D7yU976nK53Nne2dzcAC7u7p44fhxzcXf3FV72ZZ5+221Pe/qtN15/fZTIlnffe+/B4eHJEyeeduvTNzc2x3F8/JOeWEpZzOd939uWxL8W6HD/ApeViIuXLpVSNjc2di9d2j84aK2dOX36qU9/+ku9+IsfHh6th3VEAPedPdd33elTJ1frdUS5uHtxPp+P4/jkpz71ZV7yJff294Gtra2QhnFcr9cbGxuZube3Z/MSL/bYJz/1qZl56uRJ4Oy58xHa3NjY298/dfLU3ffcc82Z0/P5fBzHcxcu3HLTTSXiF3/t16695pqbb7ih7/v1ej2M0+lTJ89fuFhKbCwWF3d3NxaLw6Oj48ePh3S0XEoSdF0HWq1WD3/oQ+68++7Var1YzGutp06enKZJEv8qoMP9C1xmKBG2bZdSIkIwtdZ33Wq9jghJXFZLMUzTJAmICEnr9RqY9b1tRWQmNpIkZ0oyrIehRHRdJ2maJkmlFOy0I6K11tU6tZaZkkrE1Fpr7cLu7s7W1tbm5tRaRAhaZomwbTtKsS0pM22HhAQ4E0nSMAxd1wkMmdkyxb8e6HD/AvfLzFprZmYmAEiyLQmwDYDAgKSIyMyImKYpIiQBERrHSRJQSmmtAZK4rJSSma21WqvtlimQhBTS1JoACdsgKaRaa2ttak08k6S0aymZmbZ4plrrNE2AJO4nyTbPJIl/C9Dh/gXu1/f9+QsXtjY3u66TNE1TRNiOCO4nQLJt+2i5nPX93v7+mdOnW2vY+weHR8vlDdddO7UWEefOnz9+7FitdRgGSX3f7+7ullp3trcPDg5qrbPZrLXWWmuttczNxcI2ku2IAKZpapklopQiSFuS7VrrufPntzY3Z7NZZrbWSinnL1w4deJERIzTZJv/QKDD/QtcJunxT3rS02+99eabbmqtHdvZubS3d2xnZ3tr676zZ3f39jLzputvuOfsfdubm4dHR7XW8xcuXnP69O6lSzfdeMPtd9z5Wq/+as+4/fbzFy62Nu1s7xweHfV919VqeMwjHxkRT3360//hCU946IMfPA7DuQsXTp44cXh09NAHPehhD3/4P/zDPzzxKU956Zd4iaOjo3vPnt3Z2u66et/Zs6/8Cq+wsVjcefc9T3/GrTs7O7u7l86cPnX3vfc++JZbnvCkJz34llvOnT9/5vSZhz/0IX/+V3914eLFa85cs16vX/HlXpb/WFABIKTlanXf2bOL+eKOO+88c/rMX/z137z8y7z0hYsX77jzrkv7e9ecPq1an/jUp+zu7p44fvzkiRPL1Wo+nz311qdvbmz+7T/8wzRNy9XK9mq9wn7arU+/9ppraq3PuP2OzHzMIx85juOdd9+9vbV15113nb948dozZ3YvXbrrnntOHj8+DcN8Pr/x+uuf8tSntWwRsXvp0q2337aztb176dLGxsbd99zzxKc85dozZ2664YYnPvkpD3nwg/7ir/8608+4/fZ77r1vY7Gxe+nS/sFBKeXxT3zi8WM70zR1XWeb/yigw/0LgO1a6+133HG0XJ04cfzixYs3XH/9bXfcccN11919770njh1fLOaZWSIu7O5uLBbz+Twzj46W6cRsb2+dPXfukQ9/+IULF/7+8U8wfswjHzmbzaZpGoYhIu686+6XeamXvPfs2fPnz+/s7BwdHR07dqxN0zhN0zT1XXfD9defPXfuqbfe+uCbb37SU5/6sIc8ZHNj4+Dw8ODw8KEPetD+wcGFixdPnzrV9/1yuVwsFq21c+cvXHfNmbPnzh8/fuzUyZNPfPKT+76fz2bDMN5y040tk/9AoMP9C9yv6zpJ2VqUMk1TV+vUWq21TVPakrCjFGemDUQEADgzShnHMSKGcexqrbW2aVKEJNvTNAG11lpKZiqitSYppGEcbZcIRezv729ubEytLRaL1lpErNfriCillFJaa7YjIjMlRURrrZYytdZam81mtm0LhnGUZBtJ/EcAHe5f4AWQlJmSaq2Zadu2bUkRUSLGaeJ+kmzbLhGGzIwIbINtSREREZmZmUCttbVmGyilTNMUEZLANi0zpMwspXCZbcAACCTZltRaK6UAmcllkiJCkm3ANiApM/k3g8r9ImIYhnGaZn0/juNsNlsul4vFYhzHu++5d2d7q+u6WmspZRjH9Xp9aW+v67rjx45hd123Wq0WiwUwThOwf3BQS9nY2GiZXa2llL39/bvvuXcxnx87tnNweCg4fuxYqbXvukt7e8d2dpar1Xw2W67WXa0RkZm11mEYJO3t70va2dkJKTOR1ut1RACz2Wy1WtVaIyIzSynjNE2r1ZOf+rTrr7u21nrq5Mm77r7b9k033jiOoyT+DUCH+xe4zPaf/PlfnD51avfSru3laiVpPptNU1sPQ4mIEjdef/3B4eHe/v6pkyef+rSnX3ftNeth6GpdrlbDMLzKK77iqRMnbr3ttj//q7++/rpr9/cPNjY27rjrzpd8sRe77tpr//Qv/iJbvuSLv/hf/s1fA5l+xMMe+uSnPu2aM2eOjo4Ql/b2brz++rPnzr/qK73iNWfOPPHJTz577tx8Pr/33vtqVzPz6OhoZ3v7IQ9+8K233dbVuh6G7a2tV3q5l/v9P/7jcxcuPOKhDx3H8aEPfvBf/e3fGWPGaXR672D/5htvrLW+/Mu8zOHhYUTwbwABAJIyc5qmCI3TNE1T33U3XHddZu4f7B8/tlNrfeiDHnT7nXfec++9zlzM59dec81qvW6tjdPUd90tN9309Gc8Y5ymC7u7B4eHl/b2F4v5qZMnp6nNZ/NhGDCbmxvXX3ftar3e2d657tpr7zt79vDocLlcStq9dKlEbCwWrbVbb7vt0qVL111zze133FlLubB7cZqmTIPm8/mTnvLUvf39m2+8cXtz675z59bDcO7ChWEY7zt37hl33GGzvbV14vjxdIbUsoWiRJnG6d777osI/m1Ah/sXANu11r39/XEc5/P5arU6trPTWhunaRrH+Xy+Wq93trd3L12azWZtmsZpms1mEZGtDeO4vbUl6enPuO2G666ttR4cHm5ubmbmfDbbvXRpc2NjPpvde+7cvO93dnYODg+dWWtdrlZ91+0fHPzpX/7la77qq0ZE33XjNF3c3d3c2Ljm9OnD5bKWsre/v7FYdF23t7+/s729e+nSYr7o++5ouZS0s7V18dKlvusMwzAcP3ZsGIZa6/kLF04cPy5puVwerVYlYmtzs+97/m1Ah/sXuMx2LUVS2iFNrUmSJCkzI6K1VktJWxJgm8tCmlqTVEpprQGllNaaIO1aSsvMzK7rnDm1VkoRpB0RgnGaJEWEpMyMCMB2a61EGEopmenMUkrLLKVkZmaWUrCn1mqttoGQptYk2e5qnVoDIoLLbGcm/zagw/0L3M8ACGxL4jLbkmxLsi3JAIhnsi0JsC0JsC2Jy2xLAmxLAmwDkmwDkgRpA5JsA5K4n21JgG1JtiUBNmBJtpEEtiVxmW1JgG0uk8S/Gehw/wJX/YsguOpFAZUHkMR/H9s8gCT++9jmgaDyAOthwOa/QymllMIDTNPUWuO/Sdd1kngWqDxASEj8a0iyzf0k2eZ5SbwQtiSek6SI4AWTZJt/D4nnZUuSxANB5QFmfS/JAGSmJNsRYVsSz09rLSJCYQy01iIiIjKT+0VEa40XyjbPqZTS1YrE/STZti0Ju2VGREhpA5Js8wJEhG0eIDN5wWzzQFC5n6TDo6OpNdslYj6ft8yu1vvOnu26rpQS0tSaJEmZWUoBtjY3V+v1er0updje3tpardfjOKzWgzNPnTw5TdPRcnlsZ4d/pcxcDoMzJbVsoHEca63L1XJjsVEiNjc3D4+OpmmazXrMxUu7mxubfddlpiJKhO3WGpLg8Oio73vbEQLZ3lgsJPEiggoAtruuu/u++y7u7l575oztxWLRWpvPZveeO3vNqdNnL5w/efzEMA7nzl+otW4s5vP5/Oho+RKPecy5CxfuvPvuCJ06cfLUiZP3nr3vac+47cypk+thSBt84eLuqRMnx2mUxItGUmvt1ttuk7R3sH/9tdfO+n4cp2EcnF4uV2k/5vjxO/cu3Xf23CMf9rBhGM6dv2D70t6+beD0qVOttUt7e6v1+sSxY8YbzsOjo/V6AO47d/ZlX/IlNzc2M5MXBehw/wKXSTo8OsrM1WrVdd0wDl3tWmvpXMwXy9Wqq3VqbWM+H6ZxHKf5bLZar6+/9tr9/f29g4Naay3l1IkTB0eHR0dLJHBrrdZumsZrTp+xzb/S3ffeu7FYrIchIrpaF/P5ehhW6/Ws78dpuu6aay7u7h4cHt50/fXDON537tzO9vZqvQ4pM6c2zWaz1Wrd1Vprnc1m4ziuhzWolrJcrU6eODHre9u8KECH+xe4n6TMLBGZVsg2ICkza622sVtmiUgbkNRaiwhJEeHMZmOXKLYRgNMKTdMUEZL41+hqzcxSq23btiUBmRkR4ziWUiS11oBSSmZGBJfZBiQBtm0DkgSGiGit2eZFBDrcv8Bltmuts8VivVzO5vNpHEuEwbbE0dES6Pu+n83Wq9VssRjX667WzJSEdHR0ZLuUstjYGIehlCKpTVPtunEcu9l8Wq9W63VE8KKJiHMXLnRdXa3WEhElM/u+q6VO0xQRO9vbrTVAEmBbkm3uJ8k2IAkAbANI2JJ40UEFANu11vMXLvzZn//5K7zcy/3V3/zNg265ZX9/v5TS97NpGl/uZV82M5/xjNv+4fGPf4WXe9k//uVfefEXe+wdd9557Nix9Xo9DMMrvsIrdF13dHT0i7/4Sw972EMvXry4Wq+vv/baZ9x++4033PD4JzzhJV/iJR75iEesVqvWmiT+JbYPDw9PHD92ae9Sa1lK6bq6v5+Hy6Obrr9htV4dP3astSaJyyQBkngASTyAJK6Q+FeByv1KxP7+/q23PuP3fv8PXualX/rJT/nNG66//klPecrBwcEN11//qEc+cn//4PDo8AlPfMLv/f7vv+zLvPTP/+IvXX/9db/1O7/7si/90n/653/+0Ic8tGXbWCzuPXvfb/3u7zzsIQ9BuvPOu55+69Nf4eVf/md+7uevu/a6E8ePT62dPHGitca/RNLJEydsX3vmmq7rbA/jMOtnrbXMPL5xvLWGxH8NCACwXbvunnvuedqtT3/5l3vZS3uX+q7/s7/4i+uvvfYD3/f9jh8/fvbsuf39vdtvv+Ps2XMv9VIveXF3t9TyJ3/2Z499zKP/6m/+5vrrrtve3nrGbbcN4/hnf/7nL/2SL5npUDzhSU+UIhQ33XjjarW67+zZ/f39Uopt/iWZeWxn59jOzvFjx7Y3N7c3N08cO76xWBw/duzEsWOzvrddIjKzlJKZEcF/HtDh/gXAdtd1d95116233vqIRzzitttvP33q1KVLexF6yIMfvH9wcOMNN9RSnvCkJ917332PeNjDnvq0p91www33nT07n83W63Up5dGPetT2sZ1z9539+3943I03XL9ar8dxnM/nF3d3rz1z5t777nv0ox514sSJaRzHaZLEv8T2ar3uai2lHB4e9n2/WCzGcTw8PJzNZvP5PDPXw3B8Z+f8hQsnT5zYPzjo+x6wzX840OH+BS6z3XVdP99YHR3MNzam9brWijg6WnZdNwyD7fl8Xvt+WK36rstMpIhwpkpZLZfjOHZdN18ssrXWWtf30zDUvp/GsdY6DMMwDJIk8S+xPZvNfvCHf+SP//RPv/QLv+D3/uAP/vCP//jFH/vY2267/eVe9mV+7hd/8VM+8RN/+Vd+5fyFCw9+0IOe+KQnPeTBD/mHxz3u4Q972Lu/yzsfLZcRwX8sCO4nqbV27913zvr+7H33jdO0e+nSpUt7fd8vl0tJksZxPH/27DAMq/X6wsWL0zTde999U2vnz507Wi5rKa21g/39c+fP11rvu/fedJ47e3Ycx+VyeXh4WGuVxIsmM0+dOhmhlvmYRz+677o/+bM/u/W2Z+zs7DzsoQ/tat3dvfTIhz/iJ3/6Z17vdV7n937/9y9cvHj7HXeY/xxQAcD2bDZ70pOf/LM///PXXXvdxd2LJ0+c6PvZvffd+zIv9dK/8Vu/9amf9ImllHEcf/GXf/nsuXMnT548e/bsYx796Kc+9WnGtz7jtnd753d62Zd5GUl//hd/+eu/+Zs333TjPffed9ONNw7jcOnSJdur1fpDPvADuq6zzb9E0jRNu7u7j3n0o/uue+rTnvaWb/7mkv78L//y9tvveP3Xfd0Tp05fc82ZW5/xjA98v/f9rd/53Td70zd56lOfduONN2SmJP7DQeUBbHdd/4zbnvFyL/OyT3/GM/pulS1/4Zd+6a6777rvvvue+KQnv/RLvaSkaWoXL1587GMe8w+Pe9z29nZmnjxx4um33rq1tXW0XM7ns66rT33a01/1lV/p7/7hcdvbW9M43XHXnTvb22fPnXvQLbes12tJ/EtCeoe3eztJrbXXeLVXk1RKecmXfMk2TdM0HR3sv/3bvm1mdrW+4iu8wmw2W6/XpZRhGCTxHw4CAGzXWs+ePXvhwoU3feM3edrTn37D9ddd3N09c+b0e777u73aq7xqRLzCy79cP5s95alPe9hDH/KIhz/86U+/9eabbz537vzLvczLnDhx/NixY7fcfPNjH/3op99662q1frM3eeO/+4fHPeyhD73rrrsf9ahHvvqrvuqpU6eOHzs2TRMvmrTHcRyGITPHcRyG4ejo6GB/f7VaTdMErNfrcRwPj46maTo4OJimab1e858EdLh/gcts930vaZqmWitQSlmtVrPZLGpdL5e2bc/n89Vq1XVdZnZdN45jZkoqpYzjCHRdl5m2IyIiJK3X61orkJnTNEnifx3Q4f4F7meb+9kGFOFM2xEhCcjMiEhbYFsS95ME2OZ+tgFJ3E8S/xtB5QEigudVCg9QSgGKxAsgiX8T2zyAJP772OaBoPIA4zjaRuK/mF1KiQgeoLXWWkPiv5gtqdbKA0HlAWwbZPOCGQQG8WwG8XwYBAbxfBjEM9nmOdm2Lf4FBvEfzDbPBSoPMJvNJAG2JdmWBNjmfiEZANuSbAOSMhOQxGWSAIEByExAEg8gybakzARs8wC11tlsZhuwzf0k2QYkAQLzTLYBSbZt8+9gmweCyv0kDePY2gRERGtZIqbWIkJSiTCEdLRc1lozs6s1nSUKME7TYj633VqzrYhpmrCn1mqtR0dHp0+eRBrGAWTbdi1ld29vYzG3WcznPA/bF3d3u66T1NVqO23B1FrfdcAwDEDLjIiIwI4IRUzTVEvpus42/1GgAoDtWuvd995zaW9/uVptb22Bbeaz2fmLF7Y2t4xLRKb7vttcbBwcHkparlb7hwcnjh0fhuFRD394Zj79tttsHxweXnfNNbXW9bBuLds0bW1ttdaeeuvTF/P5/sFBRCkl+q4/nM+HYf2ohz1inEZJ3M+4RDl34UJEXNzd3dnetnNv/2Bne1sSME3TYjHf3Ng8ODiYz+fjOB4eHbVswzBubmxsbW7edMMN4zhK4j8EVO7n9GK+yPTGYrFYLKZpBJVSrj1zzXw2W63XtdZpmna2tyLKehj6vuu6bnNjo++6dd+lXWud9f3GYrFYzGutXdftbG+vVquj1bKWkpnHd47NZn3f9bXW1lqtpev6Wko6JfEAQravOX06M7uulijArJ/NZv00TVJI2Czm88V8vlwuI0JS33XL9XrWd6UU2/wHAh3uX+B+kpypiMyUVCLGaSqlZGaJSDsibLfWJAGSJNmOCGcaSoQhpJbJZQLzTCUibUlclplcZpvnxzYQEVxhKyIzJQG2MzMiANuSgIhorUXENE0RkZmlFCAzuV9E8K8FOty/wGW2u67rZ7M2TaXWaRyHYdjY2nJrkoZh6Ofzcb0ex3FjczNbkwSWIjNXqxUA2JZkWxLPwzYSNpdJ4oVaLBaSWmshGUI6PDqaz+cRISmzRanDet1am81mkoDWWu37cb3u+r5NU+n65eFBZm5ubTnTdkgHh4eSANuSJPEvAh3uXwBsd1139z33/MEf/uGLPfaxT3zSkx/5iIc/4uEP/8Vf/uXjx4+fO3f+FV/+5X73D/7glV/xFR/8oAf97M///C0333xpb6+Wcnh0FIrXfZ3XlsR/HEmttV//zd+UdOMNN+7v74HuO3vf27zVW/313/zN7u7u1NrJkyef8YxnvOIrvMKpkyd/8Zd/eXNjcz6fnzlz+u/+/u9f5ZVf+c/+4i8e++jHPOGJT3jD13/9E6dO/cxP/8zm5sbOzs7u7qU3fIPXz0wgSsnWlsulJF44qNxP0jAMd9119/7BQVe7P/2zP7/+uut+63d+Z2d7Z2dn5/Y77njwg2753d/7/Ruuv/7w8PCXf/XXLu1dkoS58cYbX+1VX2VjY6Nliv8Ytruue/CDHvTd3/t9tavHjx+vpRweHr3RG77h45/wxL/9+7/f3toahiEiDg4PX/LFX3yapu2d7V//zd9czOePeuQjf+3Xf6Of9b/0K79y5113PuyhD52e9KS7771nMZ//+m/+5smTp17rNV/jr//mb7a2tv7ir/7qUY945Cu8/MsulytJvBAQAGC76/vbbrv9abc+/aYbb/yjP/njRz/qkddef8ubvNEb3XjDDV1Xj46O7r3vvu2d7dVq9Qd/9MePfcyjj+0c29raevSjH3XhwoVLly7VWrH5D9Jamy0WT3v601//9V73wbc86Py58zfdeOMwDHfeeefbvNVbvuxLv9Sbv+mb3HjjDUdHRydPnFyt1zfccMMf/OEfXXfttTfecMPdd98zjMOf/flfvMPbve0bvcEb3Hb77QeHh+M47V669N7v+Z7XX3ftcrk8e+7chQsXnvGM2y5evBhRbPPCgQ73LwC2a60XLlw4d/78fD5fr9ebm5s3XH/9/v7+OE1nz5595CMe8Q+Pf/zDHvIQRTzjGc/Y2d5umbO+z8zlavXQhzxkGAZJ/MeRdHF399TJk7XWvb29o+Vyd3f3kY94xHK5XK3XXa3DOJ47e+5hD3voXXfd/dM/97Nv9AZvUGs9trNz39mz11933Z133XXmzJm+77c2Nxeb20964uMj4qYbb9zd3T158mQ/mwHOdOZytZLECwc63L/AZbZrrV3XZWZEtNaGYSilSOq7brlaLRaL9XptezabtdYkORMpIlarlST+Q9mutY7jaLvWKqnvu8PDo1JKRABA13Wr1arruv2Dg82Njb7rxmnqum4chn42G8cxMzOztbZYLID1el1rnabJNiAJkMS/CHS4f4H72bYtybYkSbYBQ0hphwRkpiQeQBL/0SRJioha63q9nvX90XK5tbW1Xq+BYRhms1lrrZQyDEMpxTZgm8tsS5LEZbYBSbYl8a8FlQeQJAmQBACSAAEQEpdFBP/5JP30z/7cpb1L15w587SnP/3lXuZl//bv/+5Bt9zyxCc9+SVf4sXf+I3f4u//7i9/5ud+7sVf7MXOnTv/tKc//REPf/g7v+M7tJYSgCQeQBKXSeLfACr/U9nuunr+/IXd3Usv9ZIv8ed/+RdnTp/54z/509Vqtb299Zd/+Se//Tu/81Iv+VIXLlzY3t567dd8zXvvu+/ee++94YYbhmGQxH8sCP4H+9M/+/ObbrzxEQ9/2D887nHHjx1//BOe8EZv8AbXXnvN9tb2iWPHX+5lXvYv/+ovr7nmzDRNr/War3H23Nm+721L4j8c6HD/Av9TSVqtVvP5fBiGzY2Nw6OjWmtrbTab9X2Xmfv7B/P5fL5Y/O3f/u0TnvjEt3vrt16t15L4Dwc63L/A/2AR0VqLiMwspWSmpMy0DZRSMhOQNJ/PV6sV/0lAh/sXuJ8k/vvY5gEk8a+RmRHBfxDbPBBUHmAYBtv8F5OwSymlFB5gmqbWGhI2/7UkdV3HA0HlASQhiX8Fg/jXMYjnJEniOUmSJAmJywzi2Qzi2QziBTKIfweoPEDf9yGlLYnnJDAAtgHbISFJso1BAK21iAjJANgWGCRxP0m2AUHL5DLbPKeI6LvOtkEStiJscz9B2plZSzEIMtMQEVxhIwG2QzLPZDskA5CZPD+2eSCo3E/ScrUcx6nvurSxDdmaIiRN01RKsd13HVBKWY7jNE2ttVrrcrnc2NgIaWNjYxzHo9WyKzXtWmtmloj1MESEnVKM41hrjYjW2sZiERG8ALt7e7VWSdM0lVLW63VErNfrzc1N261Ni8VG33W7e3u11nEcNxaLWuulvb1a6/7BwcZiIbEexpC6rgq1zFJKLWU9DCUiM7e2tmzzL4IKALa7rrv7tvvuO3v21MkTmT5/8cKDbr55GqeptZMnTuxe2h3H0TAM42I+O3nipDOXqxViHMapTav1ehiHxz7q0fedO7dcrdo0rYZ1iSilTK1l5s7W9h133XXTDTek8+Dw8OTxE/edO/ewBz94c2MjM3kekm67847jOzvL5arUEhElyjhNme3s+fPrYd3V7pEPe1hE3HXPPbbHaXz0wx9RS3ny0542m/V91x0dHdleD8P21tad99y9s7W9ubFx9sL5vutOHj+xXC5rrceOHRvHURIvHOhw/wKXSTo8PGyZh0dHs74fxrHrOttA33XL1XI+m29sbFzc3S0RU2t932V6a3NzGIaj5XI+m62H4fprr90/ODg8OixRbA/juLGxaFOzrVBrbXOxEaXs7e/PZ7Oj5dHxY8fns5ltnoeke+67b3Njo9a6HoZpGrc3t9bDcLRcbm5stNYOj46uOX16Npvdfe89tdRhHE+fOtl3/dnz50MaxnExn29sbFy4eLHv+9YatkJOp10iAMOZU6cyk38R6HD/AveTZLuUkpmSMlMSkJmlFMB2RAC2sZFsSwJsR8TUWkiSAAGSbUm2MQplJiDJdkRkpm1eAEm2heyMUqZpighJmRkRtgHbIRkktdaAUgo2UmZGRES01iLCtu2QDIBtIDMjgn8R6HD/ApcZSsR8sTjY39/YWGRmrd00jaDadYcHB5IA24AkHsAgsC0JsM39JNlGEtiWBNiWZFsSL9hischs4zjNZrNhGGaLjWlYY5daW2u179fLJTCb9aDWWqk1p8kgaZqmfr5YHh6M47i1tdVaK6Vgt8xa6ziOfd9npjNX67UkXjjQ4f4FLiul7O3v/+3f/u1rveZr/s3f/u3Gxsadd9110403ttbuuOPO13mt15xa479QRPzlX/3V1tbWNWfOPO3pT7/lllv+5E//7DGPflRE3Hf27LGdnVtvfcYrvuIrhPSnf/7nm5ubO9vbe/v715w5MwzDMI7XX3fdX/31X7/Wa7zGiVPX/MWf/8nm5ubu7m7f91tbW3fffc+Dbrn56c94htCJE8cf+5jHDMMgiRcCKgBk5mKxeMITn/hd3/t9r/xKr/TLv/prt99xx2u++qv/+V/8Rd/389n81KmTL/+yL3tweBgR/JeQ9O3f9V2L+eIN3+D1f+wnfuI93+3dHv+Exz/t6U+77+zZw8PDt36Lt/y+H/zBl3rJl/irv/mb5XL5S7/8K6/z2q/9G7/1m/P5fD6fHz92PCK2Njd/7w/+4NprrvmBH/rhl3zJl7jphht//w//YG9//9prrv3Lv17ce999N990U1e7l3qplxqGgRcOyqd96icBkoZheMiDH3zvvfc98hGPePSjHvXXf/M3p06fOjo6KqUAD3rQg6677rpxmiTxn0/SMAxPeerTbrv99uVyObW2HtbTNEkah7GWWmspJR784IfsXtp92MMe9pd/9dc333TT/sH+e7/7e1zau3TPPfeUUu47e1+m18P6rrvvWS6P7rjzzltuvqWUMgzDiRPHn37rM17j1V714OBwf3/vphtv5IUDHe5f4H4Rcdddd1177bXr9fpouXza05524403ZuZdd931Kq/8yuM4SuK/SmaePXdud3c3Ih7y4Affdvvtd9x558Mf+rAInTt//uTJk7fffsdrvsar/8qv/dq5c+de/MVebJymW2666fobb/6rv/xz4MyZM09+8pPPnDlz8sSJ7e3te+6995577tna2tra3Dx/8eJNN9541113rVarv/nbv7vllptf73VeJyJ4IUCH+xe4n6HvunEcQ4pS+r4fx1FS7erhwaEk/mvVWkqpwHq97vu+9n0bhpZZa52mqe+75XJl++577nnYwx9O5jAMy+Xy2M5Oy2yt9fP5NAy2W2ullG42m4YBu9Q6TVPX97ffdtvm1taJ48eWyxUvHOhw/wIPYFsSYNu2JMB2RPBfrqsVaZqmUkpEDMMwjuNiscjM+Wy2Wq9tZ+Z8Pr948WLXdbaPHz++u7s7n8+naRqG4djOzv7BQUTUWo+WyxPHjw/DIOloudze2hqGoe/79XodEbxwUHlOkrhMkiQuk8R/uYi4/Y47Wubx48eXy+V6va613nbbbY98xCNs/9bv/M5rvcZr/NGf/Mlbvfmb/9pv/Maf/OmfPuxhD3vc4x7/8Ic97Lbbb3+Zl37pO+64o5/1b/Ymb/KkJz35B3/kh9/qLd7iSU9+8vHjx5/61Kc96JZbLu3t3XzTjX/5V3/9hm/w+q/72q99eHgYEbwQUPmfapqmH/jhH+n7bnf30vXXX7e3t1dr3dnZ+aZv+7ZHPOxh09TuO3v2l37lVx71yEfu7u5O03RwcLB/sA/MZrPf+4Pfv/6668Zp/P0/+IMbb7hhe2v78PBomtqpkycvXrx49z13r4fhSU9+ci3l9tvvUKm2eeGgfNqnfhL/U/3Kr/3azTfd/IiHP+yVX/EVz547t7W5dXB4+KBbbn6Zl37pRzz84fPZfGNj89Ve9VXTvufe+645c/pt3/qtX/5lX/av/vpvXvzFHmu4cOHCwx/2sPPnzy8Wi6lNd91191u+xZsfP3a8dnWapld71VeZpuklX/zFb77xxmmaJPFCgA73L/A/j6BlPv4JT3zJl3jxWus0TV3X3XnnXXfdc/crvdIrr44OJUWEpGmaIqK1VkqxbRuYzWbTNEXEOI6llGmaFovFMAyr1Wo+n0vKzFnfL1erruvW67UkXjjQ4f4F/qeazWar1cogsN11XVfr0XIZEba5TJJtSba5n21JPIDtiABsc5ntiLAtiX8R6HD/Av9TZWZEcD/btiOC/3pQ+R8sIngASZL4bwHBVS8KCK56UUBw1YsCgqteFBBc9aKA4KoXBQRXvSig8gCZyVWXRQQPBJX7Sdra2kLiKrw8WtrmWaACgKRxHP/6b/5mak0S5v8pYbuW8mKPfWzXdba5AioASGqZt9522zgMUoD5f0p2dl336Ec9qu9721wBOty/wGWSFptbIK6C5eG+bZ4FKvezvX9pl0yACIBMgAj+/yml8EBQeYASETs7KPJgn0wdO6YoebDPVRA8gPr+6Hd/5/CXfxHQ5ubqT//k4Bd/DgmJ/+dAh/sXALLFzrFL3/Udq7/4cy0W3YMe3D34wfs/8eP9Qx+mvj/5CZ+UBwdE8P8WBM8k7NVf/sXxD/7Q05/x2eu/+9t67XXXfNXXzF/u5ddPfAKI/+eg8iw2kmqlFKDecOPFr/4q7NOf8/keByT+PwMd7l8AaC2OHb/4tV853XV3bG+r74k4+t3f2XnXdyvHji9e67WZJiT+3wId7l/gCgn78Fd+OQ8Ptt/6bcfbbx+e/EQfHpbrrt94tVf3OCLx/xbocP8CDxBbOxB5eEldp34Ogcc8OEDi/zPQ4f4FHqg1gFKwyQSQiOD/Oag8l1K4QqIU/t+wLYkXBIIHsC2J+2WmJNu2M1OSbdu2bQO2Jdm2LSkzbduWBEiybdu2bduAbUmSJAGSAEmZadu2bdu2bduWlJm2bdvmASTZzkxJmWnbtm2eH9tcZtu2bdtcJgH0fc8LAcED1FqXyyVQSkja2toahrHW2vf9xsZGa63rur7vu67rug5YzOfDONZaZ30/DMPGxkbXdV3XTdMkqbVWa62l9H1fSqm12q61rtfrcRxba0BrLSKGYVgsFrXWvu9LKV3XdV3X933f9+v1emOxqLV2XTfre0mllFIK0FqrtW5ubIzjuFgsuq7ru67WKikzbdu2nZm2a62SSkTXdX3f11r7rrMNtJaSfvwnf+ro6CgieL6gAoDt+Xz+RV/6pRFRa/dar/Ea6/Xqz/78L86dP3/ddddubW3tbG//7u//wYNuufm666770z/9s5d/uZd9+Zd7udVq9R3f/T0v9tjHrFarW5/xjNd89Ve/7fbbDw+PHvygW37m53/+pV7iJR/8oAc95MEP/rbv/M5P+viP+63f+Z0P+9CP+sZv+tonPOGJ7/D2b3fi+PEv/JIvueXmWzY3N/f29h78oAe97uu89md97ud90ed/3ld/3de92GMeu1gs7rvvvjvuvPO93uPd/+pv/ubJT37Kx3zkR3zRl31ZV7sHPeiWP/jDP3r0ox917Zlrdo7t/MZv/tZrv+Zr3Hb77VJcf921b/yGb3T9jTe0YUDKzFJK1P67v/u7Xu5lX+a222//wz/+43EcX+kVXuG2225H/PXf/O1DHvwg0Llz5265+aZXfqVXWi6XEcFzgQAA25Ke+rSnL+aLw8PDo6PDo6OjJz/1KaWUxXxx++13/MAP//DHf/RHnzxx4td/4zd3L+3+4R//8TiOBweHtheLxdOe9vTTp0797M//wl133X3fffe9+qu92kMf/JC3eLM3fdqtT/+Hxz2ulPJnf/7n58+fB26//Y6+708cP/7iL/GyL/WSL/UGr/96fd8BZ8+d/fO/+IvZbPYnf/qn4zj++V/+5ZOf8pRLe5eOHz9+7tz5W2+9NZ3f/l3f9Zqv/uof9iEf/Aav93oPuuWWd3zbt3vKU5/6q7/261/zFV/++Cc88fFPeMLTnv60v/6bv53PZ7//e7//dd/0TXffffdv/+7vfuXXfA3oGbfdlpnnzp2//fY77rzzrr/6m7953BOe8Iov/wqPefSj3uLN3vxoeXTmzOnrrrsuMyXxvCAAQJIzI/QSL/HiN954w9//w+Oe/NSnbm5uPuTBD/6Lv/rL+87ed2zn2N//wz+cO39hc2PjIQ9+8J//xV+WUlq2hz30IX/+F39x5913X3vttW/3Nm/91Kc/7bbbb//7f/iH2ayvtZ47e+4P//iPl8vl7/3BH5y/cOH2Zzz14PBAofV6DYAlZbrruuVq9ft/8IfjOPzKr/3atddeOwzD457whAfd8qCI+MEf+ZGnPf3pd9511xOe+KTz5y/88Z/86TCMCARSreUv/+qvl8vlNWeu2dzc/Ju/+7udnZ0/+bM//aM//pO//tu//fu//4df+bVfWx3t7+zs/OVf/fXd99y9s719y803/8Vf/lWJMLYdEW1q09SG9cALAjrcv8BlEfFrv/Ebb/wGbzCM4zd88zfv7Oy8/uu8zk/89M889CEPPn7s+OnTp37hl375EQ9/2EMf8pDVev1Hf/zH7/Yu7zKN4w/+yI888hGPmPWzN33jN/q7f/iH1tpsNrvv7Nls+WKPfcyv/+Zvnjlz5uVf7uV+7dd//e577pU4fer0nXfd9bIv89Jv8AZv/Nu/9es33HDD3Xff/eIv9mK//4d/uF6v3/gN3/AXf/mXjx8/vl6tdy9dOn782NOe/vRbbr75IQ9+8Pb29tOe9vRn3Hbbxd3dD/nAD/j9P/zDl37Jl3zc4x+/vb3z0z/7s6//eq87n82Olsu//4d/+KD3f/++78+ePXv9jQ/av3R+HMeTJ0/ecced3/5d3/WYRz/qwQ960Gq9/ru/+/ubb77pxV/sxW677fZHPPxhf/nXf/33//C413mt13zFV3iF5XIZETwX0OH+Be63WCyOjo4iYrG5DTmu191sRqbtzCzdDLc2jkilm6+O9ksp3WxONuDg4GDW94qwXSKQhmGYLxbOXK/X88UCBYATlTaul8vlxmIxtVZLWQ/DfD5XxPLoaLGxka1FBBHYADCNY2b2XUcpUFZH+7PZbL1e930PRJ25DZkpKWp/dLBnu9a6Xq+7rpM0TVPf9/18E09tmoDSzWjjMAy168Zx7PtepZuG1Xq9lsTzAh3uX+B+0zRJktRa2rmxsbFer9MOCWitRYQkSZkZEUBm2pYUEZkJSLJtKBGtNUkRAdgGkLAlRURmSrItyTYQEZnJZbYl2ZYkCbBtGyilZKYk24BtSVxmu5QC2JZkG5BkOzMlAYBtSZJsS7JtOyIk8XyBDvcvcJntzc1NonMbMrN0G3/2p3/woAc96Jprrlktl13Xla6bhkHSOI6lFO7XdZ1tbNWenFprpRSitHEoXZfTZHu9XvO/GlQAsN113bd827c/8UlPepu3est777vv4ODgr/76b2666cZXeaVXvu7aa5/6tKf93T/8w6u80iseHR095jGPue+++6ZpqrXLzL/9u79bLBbr9frv/+Efbrnl5pd4sRe/tHfp937/D979Xd/l13/zNx/7mMeUKK/7Oq89jqMk/peCCgCZ2c+39g/2b7rpxl/59V9/0M23/Nlf/PnpU6cf9KAH/fbv/u7DHvqQpz7t6bffccdiMT937vwtt9xy6zOeMQzDsWPH/uFxj7/v7H1C7/j2b/eHf/zHL/USL/Gd3/M9D37Qg9/h7d7uW7/9O+66++6n33rrddde+wav97qDLYn/pSB4Ni0Wi+uvu269Wr/7u73Li7/Yi507f/7FHvOYYRj+4A//qOvqvffd+1d//dfnL1xYr9ettf39g2maHv+EJ9x9991PesqTh2G4+aabrr/++mEY+76/5Zab9w72H/uYx+xeunTx4m6plf/VoAJAREzD4cHBwZ/+2Z+/8Ru+wWLj+PXXXf/kJz/lrrvvfuxjHvO4xz/+5ptuetVXeZU77rzz8Y9/wnd813e//Mu97O133nHHnXe+8iu+wkMf+tCLFy+eO3/+kY94eLb2Zm/yJuM4fO4XfMHbv83b2D558kSbGhL/q4EO9y9wme2u60oppZTDw8O+71tr0zTN5/OIaK2VUsA24ziWUgDbXa1pSxrHMSJaa12tihiGYTabjeNYSsFerdeS+N8LdLh/gfvZBmxHhG1Akm0biWeRZJvLbEuyLQmQZNt2RGSmJNuSJPG/GlQeQBIgCZDEZZIknoskLpMESOJ+kiQBEQFI4v8ACK56UUBw1YsCggewnbZt27xQtnkR2OaFss2LxjYPYJsXjW3b/DtBcD/bXdct5vO+62qttiXZ5nnY7roqCZBkmweQZBuQ1HWdJJ4f20CtVRIgsC3JtiQeICKAUoptwDZQS7HN/STZlsTzKKXUWiVFyDb/NhAAYLvrujvuvOv3/uiPbrvjzvPnL/RdN01T33eZCUiSVEqR1HXdfWfPjeNou7VWa01bkiTbrbWu64D1erjv7NkLFy/ath0RaUsqpQBd1wHnL1xYrVaS0u66bhzHrtZpmiTZjohSyrnz58dpuue++/q+B7quG4bhrnvu7bpOku2IGKep67rWmiRJQETYBu69774LFy+uh+HsuQtd19nm3wAqAETEarV66tOf/vIv+zJPespTnvb0W1/yxV/svnPnaimS9vcPbr7pxq7rbr/jjoPDozd83df5u394nELXnD5zcHiQ9mq1OnnixN7e/vXXXXtx99I0jbPZrJb6jNtvv/nGG5/69KeXUodhWK5Wr/Vqr/qkpzzlac94xvXXXjsM4/kLF17yxR578sSJ3//jPzl96uTBweHm5sbe/v7pU6daa3t7e13fz/p+tVrvXtq95557b7/rzld7pVeaz+d/8ud//pqv9qqZ+Xf/8LgH3XLzvffdN5vNzp0//5hHPerY9va5CxeGYbzz7ruOHzu2Wq93dy8d29k5Wh69/mu/tiT+DSAAwHYppdZy1913t9Ye/ahH3nn33ffdd/bpz3jGOE7L1erOu+5+8lOfdu/Zc+M0ttauvfYaYGtr89777nvGbbedPnlqmqZhHJ781Kfdd+7srbfffnR0dGxn59Spkxd3d5fL1dHR4dSm48d29g8Ozl+8uFquJN137uxiPt/c3Lzv3Lmz587ddscdUeKe++6bpnbh4sU777rrtjvv7Ltua3Pr9jvvKKXcfe+9q9UKuHDh4oWLFy9cvNh3/cVLu7c+47Zau7vvueeG66/f39+X9NSnP/1pt956+tSpaWrr9frkiRP3nTsXEa01SfwbgA73LwC2a637Bwf33Hvf9ddeExEtc/fSpePHju3v7z/jjjse8dCHTtO0tbW1v39ww/XXXbq0t1qvjh87dvbcufl8vpjPgf2Dg1rrej1sbm6sViug1tp13Xq9bq2dOH58GMf5bJaZ5y9ePLa9c2lvb2NjERG1lL39/b39/cPDo5tuvPGJT37yy7zkSxwcHoG3t7Yktdb2Dw5OnTx537lzN1x33XK1On/+/LXXXAOcPXfu1MmT9509d/r0KS7bWCzuuvvuvu83Nzdba8A4jplp+/SpU5nJvwHocP8ClxlKRK11mibbkkoprbUSMU5TKUVSZkbEOI4RUSJaZinFdmYKohTbIbXMiMA22JYkaZqmiMhMSaWUbC1KyUxsQ611HMdaa2stIiRsJLXWgJAUMU1T13XDMJSI2nXjONruujpNrat1nCYuy8y+753ZMiVxWUhI4zhKsi0JsC3JtiReOAjuJwAyk8sycxzHzGyZpZTMbK1lZmut1lprbZmZCbTWailpj+MoaWoNaK3ZzszMlDRNU1dra62rFchMSYDtKAXITEmA7cwchtH2NE0hSRqnyXaJGMex73vDarVKu6u1tYyIYRxLhCRJpZRhGFqmJNutNUktcxzHUkpItVaDpFnfS6q1SuKFg/Jpn/pJgO1SytHR0eOf+KT7zp2dz+fPuO32Yzs7SPsHB9PUbr/zTkl9161Wq/V6fefdd9939txsNru0vz+bze47e3Y+m0XEPffe29W6XC4z8+DoCCil3HPPPRuLxb1nz+5sb99z77193+/t77fWHveEJ85ms8PDw1rr+QsXZn1/39mzOzs7T37q0+bz2TiOtg+PjgQt8wlPfvLupb277rlnf3//4u7uNWfOCG6/88477rprPpsBu5cuYa/X62mabN92xx2z2Wxqre+6vf39c+fOPfXpT2+tZeZ6GBbzOfC4Jz5xPQwhKaKUwgsBOty/AEgaxvHP/+qvdnd3X+6lX/qJT3nKufPnT586Nev7rutuv+PO7e2txXxx6uSJ3UuX7j17tkQ5efLEcrnc3tq6tLc3Te3hD33IqZMn/+TP//zUyZOr9fri7u58Nn/d13yNv/2Hx836bhjG1Xp1cHh4bOfY3v5eLXU2n126dKmUcvzYsXPnLywWcyAzI+L8hQsnjh+/cPHimVOnD44OH/bgh7z0S7/cj//kj21sLF71FV/xR3/6p9/pbd7m2LFjT3ryU5701KeUKBGxd7C/sVhsbW7u7u1dd801L/boR//G7/zu3v7eDddd9/Iv8zK/8wd/sLO9DewfHLTWdi/tvdkbveEdd9555913r1bro+XRYx/1qJd5yZdcrtch8XxBBQDbJaKrte9np0+dvuueezLzxuuvv+vue7a3t9O5s71t+/Y775r1XSiuu/ZaMJD25ubmdddcI2mapvUwRMR6vS5Rbrrh+q2trb7rxmnqZ/1ytdre2jaez+e33HTThYsXV6vVfDbPzJMnTtx0w/VPv+22h9xyy+133rm1uXX65KlhGM6cPh0XtFwt9/cu3HD9dZKm1l7hZV5muVodLZcbGxu11ohYr9clykMf9OBhGltrBweHko4f27Hz1MmTLfNBt9ySLc9dOH/i+PHlalVKmc9mtXal1GPHZrXWY8eOtUzxgoEO9y9wWUQMwzC1tpjPgdVqtVgsgGmaWmt937fMaRy7rpumqeu6cRxns9nBwcHW1tY0TV3X7e7unj1//pEPf/hqtZJUSgFC2js42Nna2j88PH7s2KVLe5sbC6Rxmto0zefzo6Ojra2tcRwjIjO7rlsul7PZbJomoLXW931m1lIM4zTN+/7es2dLKdecObN76dJiPp+mqZQiSdIwDLXWiIiIYRiQulpt216t11ubm5m5Wq3m8zlwcHi4s729XC67rpPECwE63L/A/QQKtZZARGQmIEmSbUCSbUmZGRGZWUrJTMB2RJRSxnGUBNhGwi6ltNZKKdM01Vpba4aQIqK1VkpprUniMtslIm1AEmAbsA1Isl1rBcZxrLW21kIy2JYkybZtSQKDbUBSRGSm7VJKaw0opbTWIiIzJfFCgA73L3C/iLAdEbYlcZmkaZoAoNY6TRPQd904TRGRmbYjIiKmaYqIWmtrDQBsl4iptVKitSwRU2td10mapqm1Nuv7cZpqrdM0ZWZECNKOiJBaZq11mqZaSsvkspBaa2l3Xddaq6UA4zTVUlpmKcV2KWU9DLUU24Ck1lpEtNb6rlsPw3w+n6aptdZ1XWut1jpNk21eECif9qmfBEjKzL9//OP39vZqrW2a9g8O1uv1MAz7BwddrU948pOvOXPm7LlzG4tFRDzhyU++tLdfSgnpaLm8/c47Jc1mswsXLz791md0XXe0XK6HobV2/uLFrtZLe3uS9vb3+76/7+zZu++55977zs5ms4u7u33f33vffV3fz2ezS3t7d91zz9Ta+QsXDJLuvvfevuvPnT9vexyG1Xo9jONd99xTSjk6OkI6d/78/sHBYrG4uLsr6eLFi8vV6ilPfdr111574eLFzBzH8fDoaGdn59d/+7eBruv39vf+4fFP2N7aXsznZ8+dK6Xcd9998/m8lMILApX7tcy9vb2HvdRL/eVf/825C+ePbe+UWoZhmM1me3v76bzr7nvOnjv7hq/7uvsHB7ffeedyufzzvzp6xMMe9vCHPvTue+993BOf+NAHPejaa6556tOffmH34vGdncc98Uknjx8vtZRSVqv1LTfd+HePe9yxnWMPvuXmu+65p0S5+957tre2/vYf/iHT11937Su+/Muv1+uLu5ce+fCHP+P223/793+/7/vtra3HP/GJUmws5pm+7+zZ48eOnThx/O8f9/hpmo4d2xnHsZRSSjl/4cLW5lbfd7Yz/bIv/ZJ/9pd/tb29dd/ZsyXKm77hG0xTOzo6+qVf//Xrrr3mnnvufexjHv33T3jC3/79P5w5faq1fNDNN7/4Yx+zWq9D4nlB5X6CE8ePb25srIf1rJ/dcvNN0zSt1uuTJ048+alPnc/nG4tFZm5ubq6HISJOnjjZ9/3J4yf6risRQlIcP3782M7OTTfcsLe/39V68uSJ0ydPnrtwcRjG8xcuLOaLzc2N9Xp9w3XX7V66NJv1md7Z3r7h+usv7u7edddd21tb995379333FNrlRTSarXa3Ni4cPHi8WM7e/v7fd9df92129vbF3d3S5RTJ0/0fR8RF3d3M/P4sWOnT506ODxcr9bjOJ0+eXLvYP/Yzs7GYlFKedhDHry3v9933ayf3XLzzdM0bW5snDp54pozZ3a2t1trtsULADrcv8ADSJqmKSIkcb8SsVytNzYWR8tl33URcXh0tLW5uR6GkEoE0jiOtVZJ4zjWWm1nZq3Vdmam3dU6juNsNts/ONhYLKZpms1mh4eHmxsbU2tAy+xrXa7XTs/nM9u7ly4tV6trTp++7Y47HvGwh43jCJRSbJdSlqvVrO9t2661rtfrUookSdM0RcQ0TV3XAdM0dV1n23Zrre/71lprbT6fL5fLrutsS+KFAB3uX+B+tgFJ3M82IElSa62UkplARGSmJMC2JO4nKTMlAbYlAYK0IyIzIyIzJaVdI1omErYk2xEhSBuQFBHTNPVdN4wjksA2l5VSWmvcr5SSmbYBSYAAKdMRykxJkoDMlATYlsSLAnS4f4HLbNdaQ5paK6W01oCIsG0b6LpuHMdSSmutlJKZEdFaK6W01koprTXbQK01M0sprbXWWt91aUtyJqAIZyKViHGaaq2ttRKRtiTslpmZEVEiWmYpZRzHWmtEtNYiQlJrbRzH2Wxmu5QyTeM0tVprSGlHxDRNpZTlcrlYLGxjAy2z1hoR4zh2tY7T1HfdOE22eeFAh/sXANullP2Dgyc86UkPf+hDM3Nzc9P2MAy11lqK7XvPnr3huusu7l7a2dne39/f2tzcPzg4cfz4xd3dnZ2dvb2948eO1VolnT13bntr68Lu7oljx7a3t++6++7ZbNZa62onsR6GWd9n+r5zZ22fPHFiPpsdLpeL2XwYx1KilnL7XXc96uEPP3/h4vb21v7+/jVnzuzt7e0fHJ44cXy5XLbWaq3DMCwWi2EYzp47d+b06d1Llx7yoAftXrq0sVgcHh1df911T3rKU55x++3XX3fdQx/0IMP+/v7F3d3Ven3i2LEbrr/+7Llzp0+duvPuu685c2bW97Z5IUCH+xcASeth+LO/+IvVetjb24tSTp86efrkqf2D/ac/47Z3fJu3/ofHP/6e+84e29m+79y5+Ww+jsMN11135913b29v337HHQ++5Zb7zp571Vd6pZtvueXv/u5v//Qv/uLM6dPA9dde95AHP+jP/+qvbrrhhrvvvXeamp2L+Xz30t6xnZ2pTRcuXrzx+usv7e21lovFfL1ez/rZ+QsX+r63PU7jmdOnL13ae/M3fqM/+tM/m6bx0v7+9tZWV+s4TU7fe/a+zY3Nrqur1brUMk2T0PHjx1ar1Ru93uv9zu//wSu9/Mv95u/+3jVnTkfEk5/6tM2NheHUiRP3nj2bmdtb26dPnXz4Qx6yvb3dWpPECwIVAGx3tc7nc6TF/JoocfL48dvvvPOaM2euv/ba1trUWmutq52k48d2Do+OkDY3N0uUa85cc/11163W61tvu21jsTh+7Njp06evveaa48eOTdPU1drVDpj1/XwmoLW85eabju/sPPlpT7vummskbW5sXH/ddYeHhxFlPp+N07izvS1puVzdeP31ly7tjeM4TdPU2nXXXHPj9dc/4/Y7+j7W6/Xpk6euveZMZp49f/7Yzs40TZl55vTpJz/1aa21Bz/olp/4uZ+76fobgL39/euvvXY26zPTcP21167Xw+lTJ/cODtIW/xLQ4f4FLouIaZoyPZ/PVqtV3/fDONZSIgK4+557au2uv+7a5XJZSxlb62odhmGxWKxWq4iIiN1LlyLi9KlTh0dHXa1cFhHDMEgCIkLSNE1939terVYbGxur1arvewCwLUnSMAzz2Wy1XpdSMnM+nz3t1mecPH782LFjrbXM3D84ODg8vPnGG8dxjAjbafddtx6GEmG7lBIRR8tliSilAKWUcRxLKeM4bm5uHh4eLubzw6Ojvu8l8cKBDvcvcL+IsN1ai4i0BUBEZGYpBXtqLSK4LCJKCRvsiJhaKxERsVqv5/P5OI6ttVqrbUFEtExAEpCZESFpmiZJtnlOkjIzImxLysyu6zKztSZJkkARrTVJtgFJtiXZlmTbdinFtm0AkGRbUmZGRGaWiLT5F4EO9y9wv/Uw9F3XdZ0kICJsHx4dbS4WLbOUYlswTlNE7O3tLVdr8MZisX9wcPLEiam1o6Pl6VMn77z77pMnTmwuFhd2d0sptZTlarW1uTlO0zRNtdau1tV6PQzD9vb2rO9t8y+xLYkHsC2J/xpQAUDS1Nrf/v3fv9orvdLTb7ttHEdJF3d3jx87dtc992wsFg998INvv/POUydPnj137r6zZ9/49V7vjrvuuu/cOZsbr7/uabc+Y2NjsVqtrrv22nvP3ndweLi/v3/tNdfcd+7c7Xfc8ehHPvLptz5ja2vz7Llzi/kiSgAHBwfXXXvtieXy4Q996Gq1ksQLJYnnJIn/MlC5n2C5XK3W66c+/em333HnDddfH6G9/f29vf3+2u4XfvVX57P5fHbHzTfdOJvNkMZp6mptmRGxXq8f+fCHrYfh7NmzU2sPfdCDn/y0p1537bVnTp269RnPiIjZrH/0Ix95eHRUotx37uzmxkamQ1qtVtM08T8f6HD/ApdFxJ//1V8v5vOWbRiG66+9ttRq++zZc1Obrjlz5tz586dOnDhx4sRdd9/zsIc8+K577jl/4YLtE8ePb25s3nTD9X/1t3+7Wq9vvvHGJzzpSTfecMN111779Gc8I6RhHA8OD1/mJV/ywsWLl/b2NhYLSfsHByVie2t7a2vz5IkT0zRJ4n8s0OH+Be7XdV1mRoQgbdtAibCNZBs77YiYpkmSpJDSBlprXddxmSTstCUBEeHMcZpqrdxPMLUmCchM/ocDHe5f4H62+ZdIsi2Jy2xzmSTbPIAk29xPkm0eQBL/W0DlASTxIpDE/SRxP0k8J0k8gCT+l4LgqhcFBA9g27ZtXjDbvGDmmWzb5jKDeW62ecFscz8DYNu2bZ6TbZ6TeT5s2+bfDCoPUEqRBNjOzIiwLSkzI6K1Jmk2mw3DANjmfhEhyXaJaK1FhKSQxmmKCO6XmYAk27XWzJRkWxIgCWitAbXWzJSUmbWU1lqtFYiI1lprTVIpxbak1hoQEbZt11IyUxIgaZqmWisQ0jCOpZTMjAjbtnkRgQ73L3CZpL/8m7/JzEc94hF913Vdt1qtur6fpmk+m61W683NjWEY/upv/+7lX+alI6LrOmykaZqGcRyGoZa6XC13trfX6/VytbpwcffE8ePb21uXLl0yHNvZ6WrNzLS7WncvXdre2hrGseu6aRwzMzNLrcvlcjGf7166tLW11fd933WHh0fHju3cceedt91xxzVnztx2xx2v8LIvu7mxcWlvLxQXLl68+aYbM3MYxxIxm812L11azOe2bYZxOH7s2KW9vb29/ZbtYQ95yKW9vcV8vlqtaq1d19nmRQGV+2XmfefOzfr+qU9/+t333Hv8+LHM7Lt+msaWee99Z9/qTd/k7Llzf/HXf/2gm28+cfzY457whFLrNI4PfchDbr/jjtvvvHN7a+voaHnmzOm77r57PQwbi431evUXf31PKSUizp0/97Iv9VI33XDDej1cGtZ/8dd/c9011xwuj/b3D7a3tmot5y9enM9mpZSXfLEX2z88/Ou/+/vMPHXyxMHh0Wu/+qudOX363rNnDw4OW2uHh0eHR0d/83d/t7HY2D84GKdpuVredscdL/aoR585c/pP/+Ivtre2jpbLzY1N49Vqdc3p00fL5X1nz91739k777rr+uuuu7i7+xKPfcwtN988jqMk/kUQ3E/SYj5/pZd/+RLl4PBg1vcHB4e1lv2Dg/V6vb21FRH33HvfS7/kS9x1z91d1x0/fvz4zs6JEydqKRuLjeVqdf7ChVLLpUuXDg+Pdra3j+1sX9jdPVoubXe19l2/mM9tR4lhHKdpWg/rvf395Wp5+tSpM6dP33TDDTdcf/00Tbbns5lCs9ns+LHjh4eHreVtd9x5x5133XLzTaWU/YP9bG09DJJOHD922x237+3vb21snrtwITPX62Fq7czp08eO7bTWbNuez+ePffSj1ut1qeXYznat5fzFi6UU86IBHe5f4DLbQN/3h4eH0zTVWqfWSimZOZ/NDo+Otre2xnHc3Nw8PDzsuq7WymWZuVwubd92xx07OzvXX3vtpb29jcViPQyzvl+uVrPZrO+6/YODzY2N1poi9vf377rnnhd/zGMODg9LRNd1tg0C26UU25IOj47ms9lqvd7Z3j48OlqtVhsbG8vl8szp0/fed999Z88++pGPBA4OD/uuG6dpMZ+v1uunPf3pj3nUoyLC9t7+/ulTp+47e3Z7a0sRXa2Hh4d936/W68V8Xmu1zYsCdLh/gQewLSkiJGUmEBHTNJVSWmuSbEsCMpMrpBIBRATQWouI1lopJTMjIjNt11JaJiApM7uua60BkjLTdkQAETFNU621tVZrzUzB1FpERERmllLGcZTUdd04jkBE2AZsA7XWaZpsR0REjNPU1dpaA2yXUjKz1tqmKW1JtrlMEi8IBPeTFBGllK7rImK5WtVSJK3W6/l8Lqnv+xIB9H0vqe+6vu9ns9ms7yOilDJNk+2IiIjZbNZaK6WUiFpr13Vpl4i+7yNiNpvZzsxaKxDSrO9tt9b2Dw76vt/b3y+lHB4dDcOQdt91XdeFZHscx1LKbNaP49h1XUSUUoC+62qtEdFaq7V2XZeZkmZ9D9Rau1r7vgf6rjtaLpFmfQ/M+r7vuq7rbPOCgA73LwCSxnFcrde11PMXzpdSMzNCEbEehsw8trOzWq02NjZOnjhx6zNuu+Puux724AeXUoZxxJ7P5+v1+vrrrtvb2yulXNrfX61WD3vIQy5cvHi0XIYUpWxvbU3jdO7C+ZMnTuxeurS5sXHdtdfefc89T3zKUx71iEesVqsH33LLnXfd9aSnPPXkiRMXdi+ePnVqb38/pFd6+Ze/6+57lqvlbDa74brrImL/4ODCxYsXL+7Wrj7iYQ+75957rz1z5vY779rZ3trc3JS0t7dXSrnh+utvu+MO7Nls1lprrbXMUydP/vXf/t18Pnvogx/8hCc96dTJkyeOH7/3vvtKqS/2mEev12tJPC+oAGC71vrXf/bnR8vlxsbCdmZO09T3/TRNNhsbi3Pnzz/sIQ+R9OSnPdX24574xHvvO3vm9Kn5bLZarzPzumuvfcKTn1JK3HX3PYvF4tTJk8+4/XZJd9x5V9qnTp64dOnSyRMnn/SUp0TE9tbW5ubm457wxNbab/3u7wod29k5c/r0fWfP7e3vPfTBD/6rv/3bRzzsYYeHh3t7+098ypOnqaXz+LFjp0+e/P0/+qPrrr32cHm03l0fHh7defddtdZrz1zzuCc84eEPfeh9587eedfd11177c7OzuOe8IQXe8xjHveEJ95x113XnDldS338E5/U993F3d3zFy7WWu64667HPeGJwzi85Iu9uCSDeH6gAkDaG4v5NWdOI2Xm4eHhsZ1jq/Xq4ODgxPHjJ0+cmKapRGTL7a2tzY0NUGZee82Zh9zyoNrV3UuXLly4EBFbmxv33nf2UY94+Hw+x772mmsE995334NvedDTbr31sY9+9Nlz56695pozp0+P49h13c7O9no9POLE8fV6OHH8+OOf9KS77r3n5V/6pf/ucY97mZd4iXvuu6+r3fb21i033tT33dTaU576tI3F4obrr9+9dOm6a67Z3Ni44667jx87dub06fMXLhw/duzg6HBna3v+0PmJY8cW8/nxY8f29/f7vrv2mmse8qBbuq47e+7c0dHRTTdcH1Eu7e3NZr3TJ04c77raWhMvAOhw/wKX2a61RsQ0TUApZZqmWit2ywypZZZSbNuOCC6zDTgzSslMSYAk27YBSSGthuGuu+9+2EMeMgxDrdU2YFuS7VrKOE2AJNuSgFJKZgK2JdkuJc6eO7+zszPru2EYu1rTLqW01vquu7S3d3B0dN0119jGbpkhIbXWaq2AbUBSa63Waru11tU6tVZKmaaJFwJ0uH+B+2UmgCSwHRGZGRFA2iHZBmwjhZSZkmxL4gFsS5JkW5JtSX3fr9frWus4TbWUzATSFkgCgMyMCNuAAVuSpMyUBNRap2kCJGWmJEBSZkZEV+s4TUBmSpKUmZLMZbYkQJJtQJJtSbYl8UKADvcvcL++69IOaWqt67pxHPuuO1ouI6LW2lqLEKiW0jLHcZz1fcuMCGwEgAEUMY6jJKC11nVdZi6Xy/lsvn+wf/z48b39/Vnf11prra219XrddV3a89lsHEdJgKRSYhyn1nI+n2VraQO11nEcQ4pSWmuSMjMiSil7+/t910mazWattWma+r63Lcm2pHEc+beByv0kPe0Zz5j1/XK1On3q1J133XXj9dffc9/Z48d2Hv/EJ914w/UPuvnmS3sHQvedO3tsZ+f666572q3P2NnZPjg8rKWkDYRke7la3XzjjdM0tcydra3bbr/jxInjf/YXf7m9vX10dHj82PFL+3uL+fwVX/Zln3H77ZKENjc37rjzrmPHdk4eP27b9jhNR0dH4ziN07ixWPR9v5jPp9YuXLx40w03LFerS5f2Tpw4nq0tNjYODg5Wq/VTb336qRMn+r5fzOez2ezaa6659RnPmM1mLXMcxrvuufuVX+EVWqb414MKAJKGYXjarbcOw3Bxd3djsfGSL/Zij3/Sk6apPfXpT18P61tuvunC7u6tz3jGpUt7ho3F4tprrnn8k54UoY3FxnXXXnP7nXeG4mi57PvuttvveL3Xfq1rTp8exjHt3/2jP3yll3u5hzz4QX/9d3/3Si/3cn/wx3/yki/+4hcuXlgPw+Of+ETgumuu3d7aPHv+3BOe/OSbb7zxJV/8xX7l13/jphtvuOuee5yuXb20t3dsZ+emG2647+xZ0CMf/vDHPfGJf/cPj3vwLbf0fffQBz/43vvOnj1/7tjOzl333DtN09lzZx/+0IdtLBa//tu/c8vNN43j1Pd9rSUiWmtI/GtB5Vmkhz3kIZl51933XHvNmSc99SkPf+hD7zt77pabbjIWnDh27Anr9dbW1oNuvmm1Xmfm9dddu16vu66zfeL48dbag2+5pZQoUU6fPDWMY2aWUt7qTd90a3PzrrvvfvHHPOZJT3nKK7/iK9x2+x3HdnYWi8V111x7aX/v+PFjfd8fP3YsM48f2zl+7Nh111573bXX7h8cbG9tbW1tnTt3/pabbrzz7ru3t7ZuuvHGiABuufmmM6dP33n3XYvF4tTJE9dec83TnnHrtWfOLBbz7a2tG6+/frFYPOJhD7v+umsPDg9baxuLxTAMEcG/Aehw/wL3i4iQpta6Wp9+220333gjUEqx3VqTFBGSMlPQMiVqqS3TdkgGSUBm2uZ+EZGZERERmRkRmSmptSaplpJ2a63ruswEpmma9X3LtB0Rkto0IUmSlJmZWUoBJNnOTIEiMjMiQko7W5OkiMwEaikts7UGSLItiRcd6HD/AveT1FqrtU7T1HXdNE22JUWE7cwEJAG2JUmSlJlIzpRkG+i6zvbUmkBSZkoCbAOSJAGSWmuAJMC2JNuSbJdSgNYaEBFAZkqyLck2l0niMtsRISkzbUsyCCQBmQnUWksp0zT1fbdeD4DtiAAkZaZtSTwv0OH+BS6zfXh0dOrEiQu7uzvb2xEBCNbDcLRczufzxXxuu7UWESGl3Vq7tLd3/Ngx27WUtCNCcPb8+VrryRMnWmvTNPVdl7bAEBHDMBjaNLWWx3a2W+Y4jl3XYWdmRCDZeXS0bC2PH9uZWhuGISJmfT+1VkoBsJGcmXYpxTYwjuPRcrmYz+ezmW1JU2utNUld14V0cXd3b3//5MmTd9x550Me9KBSStd1u5cudbWO49j3/cZiMYyjbZ4LVACQ1Fq74867brvjjjvuvOumG28Yx7Hv+mEcdi9d2tzYOHnixIWLFzc3N6+75prlcnXnPXefPnnyMY985N8/7nHXXXvtox7xiD//q78+cfzYwcHB1Nqlvb2NxaKUsrW5+YiHPez3//iPjx87Xms5Wi43Fhu33XHHYj4vJWb9rOu6YRhe9qVf6s//8q+ixDVnztxzz739rN/Z3p7PZnfefXdmPuJhDzt79txTb731phuu77r+6Oiw1Dqsh52dndV6dfLEibvvuefkiROHh0f3nr1ve2vrxPHj+wcHx48du+Ouux77qEefOX3KmX/+l3916tTJpz796ULHjp1drlYRccN11/35X/3V9tbWDddff9fdd7fM5XL1ki/+YrUU2zwQVO4XEU+/7Rnbm1u11r/+2787fuzY5ubG9tb2MAwbi40nPOnJp0+desrTnnZ0dHT3Pfde2t+LRzzi8OjonvvOHh4tb7juugsXL5w6eeIv//Zvrz1zpu9n5y9cvO/c2Uc89KE33XDD3v7+0dFyPaxPnDhx6223vcRjH/v0Zzzj3PnzJ44fv+/sudOnTq7X6/MXL8xms3vvu+/8hYuL+fwNX+91l8vlufMX7r3vvlrrLTfd9IQnP2ma2v7BhX94whMefPMtOzvbt91xx+HR4fkLF55x2+3Hjx17mZd8iYPDg2EYn/jkJ1937bV/+w//cMN1191x152nT54ALu3t1a5muhRduHjxzOnT4zRN0/SM22/f2Ng4c/o06I4777zrnnsedPNN1545M4yjJJ4FdLh/gcsyc/fSpYu7uzabmxvr9frE8eOSDg4Pp3Ha2dn++8c97vjx433XH9vZPjg8PHnixPFjx/7h8U84cfzYgx/0oMc94QmbGxtpC7q+LxG7ly6dOH58e2v7N37nd17qxV9cYm//4Jozp2ez2fkLF9br4djO9mq9Bh50882/8hu/8ZAHPWixWOxeunTqxIlrzpwZx/G+s+d29y7dfOONW1tbT33602+8/vrzFy4cHS2vOXO6q93B0eHBwUHXdcM4HtvZuXTp0skTJw6PjjY3Ns6eO3/tNWfm8/ldd989m80e9pCHTNPUdd3td9xxaW/v+uuue/JTn/aSL/ZY20952tO2Njevveaa9Xp937lz6/X64Q97WN91tnkg0OH+Be5XS4lSgMwEbGNHBIDUWluv1zvb2+M4RkRrLTP72ay1No7jrO/TlrABsBVhe71e295YLNKOiDZNhhKBlJkhGcZxHKdpa3PTmRHRMqdpklRrjYhpmjKz67ppmiKiREytYSsiIgDbmVlKTFMrEYYSMbUGTNOUmaUUA3bXdRHRpqnrutV6DfR9b3uaJkmllJCGcbTNcwEd7l/gfpnJ/UoprTUeICKAzCyltNYkSWqtlVJKKZkt02mHBNjmslIKYNt22rWUzLQNSLItSRKQmYBBIAmwbZAksB0RkqZpUoQkbNtArbWUMo5j3/fDMNjOzFIKIKnWOk1TZgK2AUmZWWu13VqTFBGZWUpprSGFxHMBHe5f4H61FAMg6cLFi6dOnhS0TNu1lGEcSynTNB0tl8d2djIzM2ez2e6lSwcHB1tbW/PZbD6fD8MA1FIAScvVqpRytFzOZ7P5fH7+/PkTJ05ERGvNdi1lnCZJkgBJgMAAOFMRgCRgGIaj5fLUiRNTa+M4Sqq11lLuvvfe/YODG6+//mm33vqgm29eLBa1lL39fUDSpb39Y8d2tjY3nWmeqZSye+lSLWVraytbG6ep7/sLFy9ub231XTeMo20eCHS4fwGQtF6v77733q7rLl3aWw9rpxVqrd14/fWllKc/4xkPe8hDNhaLP/3Lv5ym9rIv9ZKr1eqaM2f+5u//XtLh0dHW5mZEHB4eveLLv9ze3t5Tn/70ne2d/YOD1Wq1WMyPlsud7e3MnM9mwziO43j9ddf1ff+0p996y803nTxx4m///u9vvP6Ge+6799jOzrnz508cP95a67puaq1Nk6FEOXfhfETM+v7E8eOPesQjnPm3//APUcoN1133p3/xFzvbO6XExmLjUY94+F/89V+fOHHi5PHjB4eH99x774NuueXOu+7a2dk5e/bc9ddde+fddz/45pufeuutZ06dGsaxlvpSL/5if/u4x912+x0333jj/uHBy7/0S3ddZ5tngQoAmbm1tfW0P/kTSaWU2++484brr7v7nntPnji+XK2mqR0dHb3aK7/S3/7D40qUo+Ho8U96UiiOHz9+dLRcLOZ91509d27/4CDT6/X6nnvve/wTn3TNmTM3XH/d3v7e1KZz588fHBzefNONe/sHT3rqU86cPr1crTLz4u7uK7/Cyz/5qU+NiAsXL67X6yc95SmnT5268+57Wpse8bCH3XHXXbWU5Wp1+tSpEnH2/PnDo6OHP+ShwzD0XbdcrSKilNLV7uDw4JrTZ1q2zLzrnnt2L13aeuxjh2F8yIMePIzD457wxGPHdh724Ic87glPvPmmG//ucY/b2z+Yxume++675eabDg4P7zt7dmOx+LvHPW4+n69W69lsNk2TJK4AHe5fAGx3XXffuXMh7e3vj+N4+uSpS/t78/m8tba/v3/61OlTJ0+s1+snPuUp11977e6lSxsbG9dde+3hwcEwjucuXLj+2mtXq9XB4eEjHvawu+655+Lu7plTp+az+eHyKFtbrlZbm5sbGxvZ2u7eXle7WsvZ8+evOX361MmTmfmEJz/5+muvPXf+ws721sbGBnD+woVaa4lYrtZnTp+qtT71aU+/9tprVsulYZymRz/iEa21rutuu/2OS3t7N99041Oe+rSHP+yhi/n8yU992sbG4vSpU8Mw9F23Wq/vuvvuUydPbW5uHBwebiwWmXn+woVTJ0/u7e/3fX/zDTc8+WlPG8fx+LFj+wcHD33wg23zQKDD/QtcZrvWCkSEpNZaRGRmSIporbXWJM36fmotIjJzmqYSgVRLmaZJESGth6HruojIzMyMCECSM9MGSimZCdRaW2vTNEnqu25qLSIy07btWiuALallZmbfdS0zpHGaWmsRYRvoui5C4zj1fT8Mg+2u64BpmiTZjohaSsvMzIjITEklomVGhDPHaZr1vaSWKWkcR54L6HD/Ag8gKTMl2ZZkW1IpJTMB25kZEZJKKa0124DtiMhM27XW1pok2yViyiwRmSmJy2zXWjMzMwFJtgGg1goAETGOo21JgO1aK9Basy0pImwDtm1HRC1lag0QKKK1xmUhtUwk2yUiM3kekmxzP0k8F9Dh/gUui4hxHKdp6vt+nKZZ36/W6/lsNk3TuQsXtre2+q6LiFLKNE3rYdjb2yu1njh2zNDVuh6GxXwO7B8cbG1uHi2XW5ubh4eHW5ubB4dHfd9N09R1XWaWUu66++7tre3t7S1JmVlKycxa69897nG1lJ3tnac/4xkv/zIv3XXdNE27ly7tbG9fuHjx4PDwphtumM1mFy5e3NzY6Ps+M2utJeLC7u6999136uTJWuowDoYTx47VWm2v1+vNzc31ej2bzZbLZd/3/BuADvcvcJntP/2Lvzx18sSlvf10rldrYLGYj9O0Wq1LiRJx4w03HB4d7e3tnTh+/KlPv/X6664dhqHWulqtl6vVa77qq9x+5537Bwfz2Xx371KJ2D84OLZzDHz82LGz587XWpbL1ebmxvkLF2qtB4eHL/fSL/3QBz/46Ojo5375l1/isY89dfLkH/3pn548cXJra3NzY2M+nz/uCU84ffLUwx76kCc86UmnT50ahvGpT3/atWeuubS/t1gs7rzrrtd8tVfLln/1t3+zsbHx8Ic+9C/++q9rKX3fX3fttXfceefpU6f2Dw5CcXh0eM2ZM5f29l7jVV6l1mqbfxUIAJDUModxKKWsh/U4jhFx3bXXjON46dLesZ3tUsqDbrnltjvuuPOuu6apbSw2rrnmzNFyOYzjMIylxPXXXXtweLheD13XLVdLSXv7Bw998IMv7e0BU2vpPDg8PHH8WNd1s9lstVqHdHh4tHvpUtd1j3z4w08eP3Hv2bOz2byUOHfu/PbWVi11/+Dgwu5FSaXUm2+88eLuxUt7+xcv7R7b2VnM59M0dbUuV0spThw/furkycPDw5MnTh7b2bn33vt2L11ar4fW8vzFC4qYz+e7ly4dHB6WCNv8q4AO9y8Atmutu5cuTdM0n82Xq+XxY8daa+M0jcMwXyxWq9XxY8cuXLw4n82m1qZpmvV9lNJaG4bh2LFj4zh2XSe45777zpw+feHChVMnT7bWuq47d/789tbWcrXq+34xn0+tXbh48ZrTpw+Pjvb29+ez2bXXXCPJ9n1nz/V9t5jPz1+8eMO11x6tVgcHh1ubG13XjePY9/3h4dE4jRsbG7b7rru4u3vi+PGIuPvee4/v7Gxtbp6/eHHW95m5Wq83Fos77rrryU992uu85mus1+vFfHFweHDyxAn+DUCH+xe4zHatVZB2REzTJCkkpMyMiNZaLSVtIKS0uUxSZgK2gVrrNE1d143jKEAqpWSmJEmZabvWOo5jKQXb0FoDgK7rbLfWuq5br9cRUWttrdmWZDsiIqK1BtiutU7TZLvv+zZNLbPWahuQJFgPQ0SUUiRlZkS01ngA24AkXjjQ4f4F7idAsi3JdkS01kopmRkRmSkJKKVM0yQpMyMCyExJEWG7lGJ7mqau62xP0xQRkmyv1usSUWu1HRGAbYEiMjMibNsOqWV2XSdpGIau1rRba5IiYpqmWmtmCpAklVLW66GUAGxLsi0pM2utwDRNkiSVUlprXGbb0NVik5m2eSEguF9EjNN0tFxm5mq1Ag6Pjmqtl/b2JO0fHEhar9fDMDzpKU9prY3jOJvNzp47d/bcub7vW+bBwcHU2u//0R89/RnP6Pv+L/76r5/ytKf1fb9erw8ODyU9/olP+qu//bvZbAas1uuj5dL22Npqtbpw8eLR0dEwjraXq1Xf909+6lN//4/+qOu6Jz7lKX/6F38pyfbe/v6s7w+Pjlbr9fmLF8dx3D84eMbtt/ddXa5W62HI9DiOmblarSQdHh4dHBzUWu+6+57Dw8Pb77hjHMdxmoZxDKmr9e577rvzrrsz0zYvBFTu11r787/669OnTu1e2rW9XK2EZrPZ5uZGROzt7Y/jGKFauwsXLzz9Gc9Yr4c3eYPX39vf/9t/+Ie3frM3O3fu3O/90R89+pGPPH7s2O6lS/fed9+TnvKURz784eM4/tGf/dl6PWxvbR7bOXb65MlSyuHR0R/96Z9K2traqqW2NoEODg+3t7daa7XUV3jZlzl/4eLGxsY9995r+9Lepcx88lOfes999y3mC4RgnKZhGDJdStx8441/9Kd/urW5uVgs7r7n3lrriz36URHxZ3/5l30/O37s2H1nz5ZSBNvbW1Nr9509+/qv9VqHR0f/8IQn2v6LvxluvP76V3zZl10PgySeFwQASMrMaZoiNE7TNE1d1914w/UXdi/O+n69XiPWw/qG66+3czFfrNbr2awHzl+4sFyu1ut113U3XHfdsZ2dc+cvtNYODg9PnTy5XC7HadrZ3r7l5pv6vn/4Qx9y80033nX33cDJEyduvvHGUspqtbI5ODw8c/rUse1t4PyFCxEREbuXLh0eHW1ubLaWh4eH6/Xg9NHySDAMwzAMt9x00+bmxonjx8dxXK1WLfPe+87uHxyUEjdcf/0wjtdfe91NN1w/DOthHE6fOnns2LHt7e3NjU1Q7brVeui7LkKttdlsZpsXBHS4fwGwXWvd298fx3E+n69Wq2M7O9M0RcT5CxdPnzp54eLFE8ePl1L29vcFi8XiaLk8cfz4/sHBNE0729sAEBEXd3czc7laHT92TNLmxsZ6vUbC7vv+0t7epb29h9xyy9FyKamUslwuW+bW5uY0TaWU1XqdmSeOHTs4OhqG4dLe3vbWlu3rr7vu7x//+JAe9YhH3H3PPcePHbONJFgPw6zv/+4fHveoRzyilFivh8XGopZiu7Vm6Go9PDrquq5NUyllNpvtXrp0/Ngx4L6z506dPHm0PJr1/Ww2s83zBTrcv8BltkspAmMpWmuApFLKNE211taa7VIKONMlYpymUkpIU2sAYLvWahuQZLu1FhFcZltSRLTWJAG2I0JSa02S7YiQNE1TRESEbUmSxnGMiFrKOE211tYa9wupZdZabTszIlqmbUlcZruUYpvLMrPWOk0T0HXdNE0R4cy0eUFAh/sXuJ+kWsrUmu2IKKVM08RlklprtdZpmiIiM4FSCjBNU601M4GIADKT+3Vd16bJYJvLIsK2bUm2IyIzIyIzQzLYtl1KsQ3YBiLCtqTWWkRkpiQewDaSwLYknpNtSdzPtiTAtiTbknghQIf7F7hMUmvtabfeOpvNrrvmmqm1s+fOXXvNNRER0noYtre2Lly4ePz4sdVqNZvNain33Hdfy7zlxhsv7e/PZzNguVymvbFYZKbt+86d27106dozZ44fO6YIbEmr9brve+zWWq318Ohoc3NzuVxuLBbDOAq6rqu17u3vd13nzL7vp9bGYej7fhjH7a2tw6Ojjfm8ZUrivwbocP8CIGmapr/46785f+HCiePHhnHsu+7g8OjmG2946q237mxvZ+ZsNtve2pqm6QlPevKrv8orP/zhj/zLv/qLne3t7a2tn/ulX37Fl3vZ66699nf/8A/7rju2s3P+wsW+7zc3FvsHB13XHRwcbmwsHvbgh5w9f2730qU3et3X/eM//4tpGruu397aPDg8nKZ2eHS4tbl5+513PvbRj77lppv+5M//fGOxqLWeO3/h1MkTh0dHrbW+6yN09733ve5rvsa111yzXq8l8V8AgvvZbq1tLBY289ns4PDwzOlTZ8+dP1ouZ/3s5htv3N/f72odhmFjY7FcLg/2djcXG0+79dZ77r13Nuvn83lr7fprr73lppsljeO4ubFhe2tzMyIkjh87duvtt52/cOHmG2/s5/PFYn5hd3e9XkeUqbXM1nf9tddcY7OxWLTWSpTdvb2Lu7vL1dL2crlczBc33Xjj7qW9ne2tvf39vf39Ugr/NUCH+xcA27WUg8PD9TAc29k5OlqWEhExjKOk+WxmCOnCxYunTp48PDzs+14RtZSz588fP3ZsHIb5fB6ltGky1FLW68F41vfTNPV9v39wsLmxcXh01NXadV2t9Wi5BGqtBwcH21tbB4eHx3Z2ImL/4GA+m/V9/7t/8Ifb21uPesQjSilPedrT7rn33td4lVeRJOno6Kjve0X0XWeb/wKgw/0LXGa7lBLS1FopxbbtiAAyEwBKKdM0lVJs27bddV2bJkVkpm1JgO2IAGwDtkspmRkRtm3bjgjAdimltVYiptaAUkpm2rZdawVst9ZKKUBmSooIO21s818DdLh/gQewLckgAGwDkgDAtiTbkrjMtiTbkngAg3g225IM4rnZlmRbEmBbEvezDUgCDALAtiT+K0HlOUkCxDNJ4gEkAZK4nyRAEs9JPAdJgHg+JAGSuEwSDyCJ+4lnksR/MQgewHbavGC2M5PnYQMA5pls829imxfANs/JNi+YbV4w27zoIHiAWd/PZzNJgG3ANmAbsN113Xw+jwjbtm3bBkoJAAiJy2qtkmzbXGGem21JgG0AkFRKsW0bsM0D1Fq5zDYA1FoBwDZgmweopfA8DIDtWqskwDb/IgjuFxF///gn/P3jHtdai4iu62zXUoBaa0TM+v4Zt9/+l3/9N0dHR13X9X3f933f96WUCxcvZmZEXNrbm1orpexeujSOYymllhBERC1FkgAISVKttbUG1FolRcRyubx0aa/v+65WSbUUwDYQEffedx9QSum6zrakCxcvAra7rgNqrUBItiPirnvvtV0iANuSJNVSgPl8du78+aOjI0ld14l/CVTu11q7/c47bA/juL+/v7W1NU1T3/VTm2qtd9x115u8/uvfdffdt995587Odtd199x3Xy0lM6+95pr7zp596tNvlei6bm9/v++6i7u7J0+ceMiDHvSM22+3vVqtSqmv+kqv+Ad/8qd93508ceKue+7panfDdddtbW3ec999tdYLFy5kOiKWq+XW5uZNN9x4cffiufMXXuUVX+HCxYunT526/c47n/jkpyi0udho2V7hZV/2D//kT2+8/vphHBaLxTWnz9x62zP6vj84PLz5hhsf8fCHPfHJT773vvte5iVf8k//4i9Pnzq5t78vabVeO33yxPGnP+MZx3aO9X23ubFx731nX+5lXnp7a6u1JonnBcH9JI3j9BIv9mKttafd+oyDw8N77r3v8Ojorrvvefqtz1iv19M0RUSt3TCO0zQdHBwcHB7uHxwC+wcHFy5enFq78667hTY3NmezGfAPT3jCPffee2zn2H3nzq2H9ThNB4eH6/XwlKc97a67776we/GaM6d3trf/4fGPXy1Xd9x19/mLF/b2989fuLher5/8tKc+7dZbjx3b2dzclBSSpDvvvmu5XE1tuuPOu1pr115z5uKlXdt333PPk576lLvuuee6a68dx+nOe+5eLpfnzp+/976zy+XyaHkkxf7Bwd7e/jAMm5sbT336rceOHTt/4UJmXty9dGlv7+y5c7VWXhDQ4f4FLrO9XC5PnTx59733Hh0dbW1tHR4dLebz9TBsbW7u7e/ffOON586f37106YbrrtvY2CilYAPjNP3FX//NzTfeMIzjyRMnxnHsu265Wtk+PDra3NjY2dm5dOkS6PSpk7/7B3/4iIc/bDGb7R8eHtvZWcwXfV8vXNxdzOf3nT27ubm5sVicv3jx9MmTZ8+fn/X91tbWxmJxcXd3a2trHIb1MIzjOJ/N9vb3b77ppgsXL07TdLRcXn/ttXfeffexnZ3tra1zFy70XXfyxInb77hjc3PzmjNnbrvjjq52EtPUjh8/5sxhHM9fuHjdtdfcd9/Z66679uy5c6dPndqYz9Pm+QId7l/gfhExTVOttZSSmRGRmSG1zFLKMAy11lLKOI6ZaVsSALTW5vO5pNaaJGcqAogIZ7bMiBCM0xQRtdbMjIjMzMzMLKXY7rqaLdMupUzTVGu13VrLdK0lMyVJkmQ7IsZxjIgIRZRxHPuum1rLzFpKZrbMvusyc5ymvu9tA4LWGpKkUso0TbXWcRxrra21zOQFAR3uX+A5RURm2jaElJmSbEdERNjOzIiIiNaabUmSMhOQZJv7lVIyk/sJ0gZsS+KyUkpEZOY0TZIk2S6lAJkpKTMlAeYym8sklYiWaZvLJAGZ2XVda822JMA295NkWxKX2a6ltEzbknhBILifJNuS7jt7dhzHWmstZZymvu8jotYqaW9///DwcNb3y9XqnnvvrbXWWiW11mophrRrKbVWSZIuXLg4TVMpZW9/fxxHQ991kmZ9DwB91+3v7z/16U+/cPFi33URYQDuvvfevf399Xq4uLs76/uWKSkk7IiICEmS7j17dpqmWmspRZJt213XPeFJT7YtKTNLKaWUUkpEcFkpBbi0tzdNUynlwu7uMAwRwQsBlftl5h/+6Z/O+n6apo2Njf2Dg+2trflstlyuzl+8sLW5ZeeF3d3HPPKRSH/8Z39u+3FPfOL21tbRcvmgm26+6cYb/vTP//z66657xm23932Xdok4f+Hiox/5yNvuuP30yVOX9vYitLW1de99911/7bXnL158rVd7tVtvu/3vHve4UydPtNYOj452L1267+zZUydP7u3tr9ar+Wxu3HXdiWPHXuLFXuw3f/d3jx87dmxnZxzHp936jNd4lVc+e+78k5761L29/dd5zde48667n/r0py3m8+PHjj/9tmfsH+wfHBxOrV13zZl7z549fuzYS7/ES/zuH/7hzvZ2RAzD2Pfd4eFhrd299933yq/w8tvb26vV6tTJk9M0SeK5QACApNba4dHRehiOlsv7zp674867zp47t7m5eec9d6/Xw9SmE8dP1FJ2trcvXrxYS2ltOnvufMschuGue+9ZrdbrYQDuPXvf0XI1n83m8/nO9va5C+fvufe+u++7Fzh18uSTnvKUYRhszp47d3BwsLe/HyVOnTx53bXXPv6JT7z1ttuuveaaw6OjzNze3j577lwopnG64667gGma7r7nnjvuuuuJT3nKxmJx4vhxibNnz63Wq9baNE0njh8/duzYM26/PRTL5Wpra/P0qZPnLlw4e+5cZg7DsFqtDw4Pz50/n5l333NvrXVne3s2m81ms4jo+962JJ4X6HD/AiCpZf7xn/7ZIx720GM7O7uXLtVau1r3Dw5Onjy5t7d37Ngx7GEcbR8/duzpz3jGqZMnh2Ho+369XpdSrjl9+hl33DGfzSIiMzc2Nmyv1+thGDJza2sLqKWkvb+/v7Ozc+HCxeuvu7a1dsedd1137bUbi/kdd989n802NzenaRKM09RaK6XYbq1de+bMXffeO5/Npmmapmlne3uxWCxXK2fu7e9fd+21q9UqM4EoZffSpZ2tLSTbtda9/f3FfD7r+z/+sz9/qRd/MUXs7e+fPnlynKau1qPlcmOxOHv+/Kzvr7v22nEcJfFcQIf7F7jMdkTUUqbWaq2ZabuU0lqLiNYaIAlorc1ns3GaJNmOCNvjOM5ms8wEgzITiAhJgpYpSBuopUyt1VrHcQRmfT+OY8uc9X3amWlbkiTuJ2kcx77r0pYkaZqmzIwISSViGMeI4H6llMy0zWUlwjBNUy1FEZlZS5laA2xHhG1nSkqb5wt0uH+B+0UEYLu1VmuV1FqzLanW2lorpdjOzMwspZSItKdpklRKGcexlCIpM0sprTUgIjKzlDJNU0SUUsZxrLVO0ySplNJaA2opadvZWi7m8/UwSCoRU2ullNZarXUcRyAipmnqu04RmZmZQC2lZZZSbAOtNaBElFLGaRK0TEmAbS6TZFuSbUm8cFA+7VM/CZA0tfbUp9/adZ0zNxaLi7u7q9UqM2+7446TJ07cd+5c3/fnL1w4Wi43Nzae/oxn7B8cnL9wsdZy79mzfd8vl8vNjY2jo6PlahWlHOwflFokPe3WW0spwzBszOfL1eri7u7W1taFixfnsxmwe+lSSJLOnj//u3/4h8+4/Y6077zrrlMnT67W64u7u4vF4uLubt/3F3d3+76fz2a333HHX/7N3yAJtTYpomVe2tvran3G7bcP47her0spSJf29m697batza3lajmfz20DkiRJAiQBkvgXQeV+ts+eP3fHXXfZfq1Xe9W//ru/s72/f6DQPffe1/Xd3t4eEBG11t3dS7XW+Xx+1z33zOezv/rbv83Mt3rTN338k560v38wTtPBwcH111178sTJW2+77UlPfer+/sGbv/EbPeVpT7vv7Nm+7++86+5XecVXOHH8+O/90R/dcN11x48dv+3229OWdOHixTvvuvslX+zF/vyv/mq1Wh87tnPHnXedPHFi99Kl13r1V9ve3t7d21uvh1tvu+3e++47Wi5PnzqVmU9/xjPe4o3f+Nz5C099+tOP7RzbvXTpIQ+65Y677louV099+tNb5pu8/uuXUmzzbwOV+5WIvuv29vY2FhuSSil7+/uLxWJjsdhYLJar1fFjx06eOGH73PkLGxuLm2644dLe3g3XXT+Mw2I+X8wXpZRjOztnz5+f9f0115yZzWa33vaME8ePHy2XXe26Wrc2N3e2t++8++4Tx49vbmzO+llXO9vPuP22ne3tB91ys+31erjhumun1tbDoNB6vU7nxsbiaHl02+23bywWG/PFwx/6kJtuvPHP//Kvju0cOzg4PDg8eMiDHrS1uXnNmdPjOLbWTp08ceddd5co11937dlz505ubUWEbf7NQIf7F3iAYRxLxHw2++u///vVavUKL/uyq9VqNpsdHh1tb26O0wR0XXe0XPZdN01TKaVEGNbDsJjP1+u1pL7rluv1rO9X6/ViPgdWq9V8Ps9M213XHR0dzWYz2+th2FgsjpbLWd8DhpDGaeq77mm33nryxImTJ04cLZddrdM0lVKQSkRESDo4OFws5q21zOy6DrBte7VabW9vLZerWqsBu2XO+t42/2agw/0L3M92RNi2HRER0VqTZFtSZkqyDZRSWmsRYdu2JEmZGRHgTEeEbUm2bUdEZiIJbJdSWmuSJGVmRNi2Lcm2JKCUYru1FhGAIG0us2271tpakyRIWxKXRURrLSIA25KAzJRkG5AE2EYS2JZkWxIvCFTuJ6nv+9YaIGiZkiRFRGaWErZrrZKA1Wo1n81aa6VW29M0lVJCQrLdVRlsS5qmqdYqkBQRmVkixmnq+36aplrKBBEhCXAmAChimqau62yXiKk1Q601M7GJiIhpmvquQ7IzjDNbZtd1tkspgpYZku0oJSIyMyIkZSZQSgGmaeq6rrXWdV1rLTN5vkCH+xcASdM0PeHJT77phhskZebm5uaFixdPnjhxeHC4ubmxf3Bw8sSJCxcvrlari5cuXX/ttcDGYrFaryPi5IkTFy9eLKW2bF2tq/W6lFJrHYfx1MkTF3Z3x3HcWCyOlsvNjY39g4PTp07dfc+9Z06funDx4onjJw6PDiXd+ozbHvygW7quc+Z6GI8f27nv7NkzZ85cunTp1MmTti/u7i7m8yhlmqZhGI7t7Jy/cHH/YH8+m+1sb9eu29zYuOfee+++996HP+QhrbXt7e3Vat11dW9/v9Z639mz115zTWttY7GwvVqtjU+eOHH23Lmtzc3dvb3tzc2NjY3M5HmBDvcvAJLWw/A7v//7fddff/11T37KU/u+r7Vsbmyev3DhEQ972JOf+hRJN95wg9PnLpyf9X0pZRyn1Xq9mM9f69Vf7dd/+7e3t7Zay3vvu297e2s+n69X69l89qqv+Iq/8/t/cMvNN919z72SLl7a3d7aGsfxxuuvPzxaDuOwv7/fd33XdwcHh9tbm/edO3dsZ0donKaHPvhBd9599zNuu/3N3/iN7jt77k//4i8e/chH3HnX3S/xYo/9m7//+83NzVtuuunSpUv7B4cXLl541MMf8dCHPPjP/+qv1uthuVz2ffcmb/iGf/HXfz2OY0Tcfc89Z06dOnfhgqQbrrtuZ3vncU98wmu+6quO4/Qbv/s71197bWt54vixV3r5lx/HURLPBSoA2J71/ZnTp7uu29zYSOdiMX/ogx68u3dpvV7fd+5sRNnYWEzTdPLEialNmJYN6cYbrh+naRzH06dOnT13rpTS9d0tN90UERcuXtw/OABm89k0TYvFfLVa3XDddadPnXrG7beP47SYz4ZhvbO9c9ONN9x9zz3z+Ww9DF3trjlzZnNj4xm33z6M49bm5pnTpzcWi9msP3361Nbm5qlTJ/f29rvabW1sDOvhzOnTEdFaO3HieK21lLKzvTWb9RuLjY35/Nj29sXd3a7raq3b29vjNG1vbZVSbr/zjptuuPHM6dP3nT176sTJUydOHju2sx6G1hoSzwt0uH+ByyRN04RUIsZx7Ps+MyUNwzCfz1fr9cZ8fnB42HWd7VnfH61WfddFRNohDcPQdV1rTVJEANM0KaLvumEYpmnq+34cx8ViMU1TrXVvf39rc3O5XG5sbNgexlEQpTizlAJIOjg83NneXi5Xfd+VUlarVSml67phGNJezGZ7Bwfz2UxSay0iuq5bLpe11ogYp6nvOkDSOI5A13WZOU1TrXUcx77vM7PWul6vSymSeCFAh/sXuJ9tAJBkm8sk2ZZkKBGAbduSMpP7lYiWKSmklglIAjJTUolIG8hMSZJqLa0lkJm2IyIiMhOQZNt2KZFpLrMdEbYzs5QiaZqmUoptg0BSywwJsB0RmQmUUmxLmqYpIiTZlmQbsB0RtnnhQIf7F7hf3/fYLTMibAsAAziiDMNgez0Mi/ncNjDr+5YZEbaHYej7Tmi5Wi3m85ZZSrENRMR6vZZUSpEEDMMwjqOk+XyOXWoF9vf3NxYLpOVq1XddLcUwjuPGYjGMIyBAqqWshiFb29zYmFrLzJCilGEYSiklomUCrbVaa0RcuHhxPp8LNjY2pmmapkkS/1qgw/0LXCbpSU95Sq315IkT5y9c3NzcGIahq7Vlzvr+wsWLL/boR1/c3f313/mdt3rTN40I20988pNPnjixu7c36/pHPOyhT7v11mGc7rjzzuuvu/bM6dP3nj27tbE5TmNmTtN0+513vsLLvuz5Cxf6vr/ummv+7C//amd768YbbrB939mzXe2m1m6/845HPvzht91xx6u/0ivtHRz8+V/91Q3XXYd04/XXZ2ZrbRjHw8OjcRyAUsrGxsbWxsZqPZy/cOERD3/YxYsXL+3tnT51qrW2vb19/vyF9bB++jOecc2ZMyWi1rqzvX3tNddM0ySJfxWoACBpHMfb77xzNps94/bb7zt77tozZ8Zp2tzc2NvfPzo6ai0f8bCHPfXpt17c3X3arbe+xEu85JOf/KSz58/ffuddETGf9ddec+ZJT33qIx/+cNvnzl/4y7/5m76fbSwWO9tb8/liYzHvuu7P/vIv777n3htvuP70yZMResiDHvRXf/t3rU3L1WpzY3P/8GA+m/3V3/ztcrXcPzx84pOfXEr5m7//h/WwfqWXe7mbbrjx137rt2656ebb77yjq53E/uHhiWPHrrv22rvuvmdne/ulFi/2Z3/59Cc95SkPffCDMS/2mEffc9+9+wcHx7Z37rnn3tV6fe7C+cc88pE3XH/dOCH+laByv4hYrdbXXXOtQov54rprrjl/8cLJEyfms9nGxsY4jiVia2vr7d/qrZ781Kc++clPuvH66++5974zp0+fPH5iGIe+72+8/oZLl/Ye+fCHlVqPHzs2TuPJEye2t7aeduutXdc95pGPHIbhxPHjp06e7Lru2muu2dra2tzcGIbh4Q97GPbB4WFErNbrYRi2Njevv+66W2+77WVf6iUv7u6eOX16Z2f74Q996LVnzqyH9Yljxzc2FufOX7jlphufcfvtN15//Q3XX5fpjcXiMY961Mnjx+++597NjY3rr73uwbf0T3na0265+aa+6+87d/bmG29qLcW/Huhw/wKXZXpvf+/M6dNc1lorpWRmRACZ2VqrtUparVbDMGxtbUmAbAOttVqrM5Gwo5TMBGxLAmxHhKBlOjNKaa3VWiVlJhCSbSTbrbVSiiRJdraWmTmbzVprEQHG2DZEBNBaa631XYdkO6RhHCMCCAkJADIzM3kA25L4F4EO9y9wv4iYpklSZpZSbKctCRuQZNtQIiS11rhMElBKmaZJEmCb+0UE0FqThIQNSOIBbAMGASCJy2zbjggus83zMIRkOyIM2VpEAH3XTdMUpbTWJEXEOE4SBiAkQFJX69SmaWqSJPGCgA73L3C/rutst9ZmfX9weBgRGxsb4zAg1VJaZolAatOkCEAS9tQacHh0tL21NU0TMJvNWmullNbaMAytte3t7WytZQNFhKT1ej2bzdbrtaS+7zOzRLTMiBiGoZSCHaWUiGEYkGqtmRkRrTWglGJbIGm1Xvd9P01Ta21jY2MYhqm1CxcuHDt2bH//YHtrs7W2Wq9PnTwpqZSCPYwjMI7juQsXTh4/fuzYsWEYpmmSxPMFOty/wGUR8dSnP932nXffffONNx4tl9tbW+M43nf23MkTx6XY3tq8uHtpnMbrr7tuf3+/77qj5bLrultvu/3VXukV77nvvoh40lOe8pAHPWicpu3NzUt7e+M07e3vP/RBD9rd2+tqd+b0KeDCxd3M9uhHPvL2O+78hyc8/uEPfWhmzufz8xcuXHfNNecvXHjMIx95YXc3Ivb298+fv/CoRzzC+PY779yYz1fr9amTJ23OnT+3mM9by9V6/eKPfcy58+f/8m/+5pabbh7H8eEPe+iFCxf+6E//7OVf9mVuu/322WwGHC2Xr/iyL3fx0u59Z8/WWh/+0Ice29n5m7/7u6ffdtvLvdRL3Xn33TffeOOZ06enaZLE84LK/SQ97dZbbc/n8zvvuvv48WN/9pd/+Qov87J93z39ttsuXbp04viJrutKiXvuve/c+fMnjh/b3NyspayH9Ww2u/uee3cv7e5sb//xn/3ZYrHYWGycOH78/IULp06e/Ku//bvTp07dd/bspb1r9w8O7rzrrlMnT958441PftpTS6lPu/XW+86dO3Hs+PFjO49/4pPOXTj/kAc96M677z46OrrnvvtOHD9+1z13L+aL3d1L941n777nnhtvuOHS3t6xnZ1xHJer1ebGxqVLe096ylNm/eyv/vZvxnHa3Ny45syZm2+66a/+9m8f+6hH33HXnYvFYmdr+/Do8K6777m0dynTmxsbx0+cGMZxMZ9f2tu7cHE3M6+95hqDeH5Ah/sXuKyU8vgnPnGapr7v5/P51ubm+QsXlqvVyRMnDg+PlqvlqRMnay2SptbOnT+/tbm5s71t+/zFiw+++ea9/YPdS7v7B4cnTxw/ODw8ferUrJ/tH+yvVqutzc077757tR5OnzwBKiUiymMf/ajHP/GJl/b2F4v54dHRtWfObG9t7R8c3HvffS/54i9+dHT0hCc/+dozZ47t7ERE33XrYbj9zjs3FovzFy6cOX06Ig6Pjq49c6a1durkyXPnz99+553XXnPN+QsXH/voR0XE3/79P9x804133HnXtdecGcfx4u7uK7zsy951990giaPl8sbrb7i0v/f0W2+9/tprF4vFNE3XX3dda00Szwt0uH+B+5VSIsK2bdulFGcaJAG2uUySpMzksogYx7GUEhFc5kyD7YiwHRGttUuX9k6fOpk2dtqttVqrJC6z7UykiGitAbVW2601wHZERARw5113X3PmdK1VkDaQmREREYDt1hpQSgEkZaakkIZxLKVwv9ZaKQWwLQlordkGJPFcQIf7F7hfZkaEbdsAYAgpIqZpkgRIss0VEjYgyTaXGQSAJCAiWmtArXUcx4iwzWURIcm2bUmZiVQiWms8J0mAbaDrutaapNYal0mybVuS7YgAMjMigFLKNE2AJNsAIKlETK0ZQgJsR0St1XZrjecCOty/wGW257PZ0XJZa+37PjOBEjGM49HR0fFjx1qmpGEYuq4DQmqZEZGtRSm2M5tQlGIbGMdR0mq12tjYqKVkJtIwDH3fRwi0v78/TVOtte/79TAc29kehvHo6OjYsWNAtoYkANIex7HrOgnQMAyHR0fHtrdLKWmHlHaJSDsixnGUVEsZxjEz9/b3z5w+nZklIm1JwDiOy9Vqe2srpGEcgdmsX63WF3d3I+LYzg7PBXS4fwGwXUp5xu23P/HJT37YQx4yDMNisVgPw3q13traDMVytZzP50dHR498+MPvvOvuqU1Hy+X11157z333XXvNNWfPndve3Nza2pqm6dz5C33fZebDH/rQWutf/e3fbm5sjNO0ubGxWq0e+6hHPempT724u7uxsTHvZ7fdecfGYmNjMR+n6cSxYy2ztTYMw2o9nDl9qrU2TVMppUQ8/GEPe9JTnmJ7Pp//zd///Q3XXXfi+PFhGDYWi739/RPHj9937tz25tbR8ujg8Kjr6mI+f/hDH3pxd/fue+7d2dmOiEuX9ra3t46OjubzeSnlrrvvfvhDH3bHXXe+5Iu92Hq9/su//dtHP+IRf/W3f7u5sfGYRz3q1MkT4zhJ4gqoAFBKOVoun3brrX3f/+Gf/unO9vZ8Nr/+umv39vcvXto9PDzavbS7vbV9/Pixzc3Nu+65Zz2s77n33mfcfvtDbrnl7rvvOTg6fMbtt588fuLS3t581p85c+ZxT3jCzTfd1HfdNE1/8ud/sbW1efzYsUuX9h7+0Ifefc+962F9cHi4Xg8lYne49KSnPOW6a645f+HCNLUSERG1q7tP3b3jrruuu+baWkumH/KgBz3t1lvvuPOuB91y86zvz507f3F39/Y77zx18uTLvORL/tGf/lnLtrmxefLkifMXLlx/3bV/97jHnzp5ahhHSU988lPOnT/30Ac/+L5zZ4H5fP70Zzzj1IkTv/MHvz+O00Mf9CDbT33a01/8MY+58YYbDg4Ojo6Ozpw+DRPPAhUAMnNjsbjhuuuOjpa3vNLNy+XRqVOn+q7L6/JouZS0e+nS5sbmzvbWNE0PefCD5rPZ03d2brnpptvvvPO6a67J+/LBN9+8u7c36/ubb7pR0nK5fNJTnvKYRz7y5htv3NnenqZ2/PixO+68y/bDHvIQCdtHyyXQdd2N11+/mM+jxMXd3eM7x2azPkpx5nXXXLNYbJQSu7uXbJ86cfLaM2fm8/nupUtHy+X21tbJEyc2NzZ2d3df7qVfenfv0plTp7quO3PqFPDQBz+o1jKfb999zz3XXXvN9ddde+P11x8dLUuJru9PnTghxdbmxtnz57e3t9fD8Aav8zrz+fz0yZMHBwc72zutNUk8C+hw/wL362qVZLBt2zYQEQKE04ZpmmqtQIQyHRHOlGSQJKm1lpl9113a35/1fa01ImxnZq11HMeIwDZEBJdJykygRNhOG1uSIjITKKUMw9B3HWDAPnv+/DWnTwO205YE2LZdItKOiMxsrU3TtLFYGDKbFLaBiMhMScA0TZK6WsdpCmkYx1qrbR4IdLh/gftlGiyJ+5VSMjMzJdmWJMk2lxmwJUVEa00S97NdSgEkTdMESAIk2Y4ISdgt04AtCSiltNYkAbZtS7ItCQBsA5JqreM4SgIiArBtGwAkScpMSbXWcRwlZaYk25JsSzKUiMyUlJmlFMA2zwuCB+i6UkqJiFJKrbWUsre/P01T3/ellNlsJqlERISkUkpfa9d1pZSz587P53NJkrqu6/t+NpvVWtfDcP7Chdls1vd9rRWQ1Pf9hYsX77jzrt29PUl91/V9Lykidi9dKqWsVqujo6O+7/u+l9R1XUSUUiT1XVdrjQjbXddFhO2Lu7tHR0fTNJVSaq2llGEYDg8Pu66zfd/Zs+M47u3vz2YzSbO+B2azmaSu1rPnznVdB9RaDw4Pdy9d6mq1zXOByv1KKX/wJ39y6sTJo+VSYrlalYi77rnndV/zNc+dv/B3j/uHm2+8cW//4NTJk+cunH/QzTc/4UlPuub06c3NzTvvunu5Wt139r6Dw8NXevmXP3vu3DAMwHw+L6U84UlP/ocnPGF7a+vg8PARD33YzvbWX/7t3/Zdvx7WtRQD9mKxsP3yL/Myf/Snf3byxPFaa1e78xcuHDu2s7e/f+bU6XPnz585c7pNbf9g/+YbbzScv3AhFC/3Mi/9p3/xFwcHh+thePhDH3rf2bNbW5uHR0er1er0yVMv8WKP/cM/+dPlarlYLFpri/kiQhuLjaPl0cZicXh0dPzY8Sc/9akPedAtFy5efPVXeZXDw8O/+Ou/ed3Xes3FfJ6ZPBBUHmAapyc86UlnTp9eD+tSyubOsb7rNxaLJz75yRd3L117zTX3nT0bobPnzq3X63vuu282m91+550RZRiHYRzvvPvu5XK5Wq329g8kxmk6ffLk4dHhhYu7D77lloODg7vvuWc+f1DfdaWEpL39g/39/WM7O6XUu++952Ve8iWvOXP68Ojoumuv/Zu/+/uptXGabrz+urvvvefUyZO7ly6dPXduGIaWmZnDMGS6RNxx510729snT5w4f+H8bXfcceLE8Yfc8qBn3H77iRPHL+7ujtMo6a677zl54vhqvd7c2Ljv7LnTp0+dv3jx4PDw7nvvFVoPw9333rt/cHDh4sV77rv30qVL25ub69Yk8Sygw/0LXBYRd99zT9d14zQBx3Z2bB8eHm5sbMxns7vuuefUyZPnz5/f3t4+ODyc9f3U2uHh4TAMj3rEI+6+994Tx46dv3DhphtvnPW9IgDbR8vlMAz7+/sbGxuHh4eLxWJra2sax6Pl8uDw8JozZ46OjqZpms9ml/b3H3TzzefOn2+t7WxvT61dunRpc3Oz77phHGutti9cvLi5sWH76Gh5/Pgx2zvb25f29tbDsLFYXNrbw97e3u67bhjHcRyvPXPmqbfeurmxUUqZpunJT33aQx70oOPHdu49e/a6a645e/78qRMndi9dOnH8+H3nzt1y0017+/u7ly7ddMMNtVbbPBDocP8C9+tqTTskoGUCEZGZtrtap9ZqKS0zIjKzlrJ/cND3fUSUUlprtZRhHDPTAAgiIiJKRNoRkZmtNUklIiKmNoUCyXaJWA9DrRXITEmllMy0zf1qKWkDEdFaA1prpRRJzoxSgMzMzIgQjNM0m80y0zYwTVPf9621Wus0TbWUqbVSSmut1joMQymllDKOo22eC+hw/wL3y8yu66Zp4jJJtiUBmRkRmRkRmVlrnaaplJKZPEDXdZlZSwHGaZLUWuMy25IiQlJrzbYkHkCS7VJKZtrmfrXWaZoA25K4TJJtHkCSbSAibNuWlHaJkCRIG8hMAAmbB5BkG5DE84LgfoK+7+++517btdau62xLsi2p6zrbXddl5sZicd/ZsxEhqeu6iABqrZl52+23nzt//m//4R/+8m/+Zv/g4Nz5C13XSSql9H0vaZqm3UuXuq7ruq7WCkREiYiIUoqks+fOSYqIEiEpIu65995SSq216zogIiICiIhaa0illFLKweHhOI4RsXvp0jiOkiKilnJweHjX3Xffd+6c7bPnzpVSJGFLkiRJkiRAkiSeL9Dh/gUus/13//C4O++++8TxY8M4njh+/PDw8DVe9VWf/oxnPPXpT9/Z3j46Wm5tbV66tHf9ddc++alPu+nGG86eO3fdNdecv3DxpV/iJUotf/HXf71cro7t7Nx2xx2zvr/mmjNHR0fHjx033tvbO3nixMHhoaT1er2xWEQU8LFjx17isY/9zd/53euuvfbe++5DlIiu62stBweHXVdf6eVf/k/+/M/Xw9B3Xal1Ppu9zEu+5O/94R8eLVcbG4tTJ09ub24+7RnPsH382LH1euj7ruu68+cvSLrxhutvv/POWoqks+fPX3P69PkLF2+56aZzF86/6iu+4mw2m6ZJEi8KCACQNI7jpb29rc3NO+66e7lcZsu77rl3uVzed/bs7Xfeube3f/rUqbvvuffGG254wpOfks6z585fuHhxam1vf//s+XOHh4e2IyKdj330ox758Idf3N0dx2kcx752F3d39/b2T504CSwWizvvvnscx2Ecb7/jTmBq7clPfeq9Z+/LlkfL1TAM5y9cqF2ttR4tl5LuvueeYRincbrzrrvW67UUJ08cr6XcceedT3jSkw8Pj86cOnX3PfeePXduY7FYLpfnL1yQ9JSnPe2ee++9eOnSMI6nTp68uLu7HtYt28Xd3WfcfvswDBHBiwh0uH8BsF1rve/s2dVqdfLEib2Dg+2trYsXd2++6YYLF3ePlsvjOzsRZZzGrlZJFy5ePH3q1PmLF4/t7Ozu7u7s7Oxsbz/9Gc/YWCwWiwV2lJKtHRweHdvZ7rruvnPndra3S0RmroehtdZ1XWZOU7v+umvvvOvu+XyWmba3t7bOXbjQd9321tY4TYv5fBiG5WoFRMR6vb72mmsODg8lSRrH8dLe3skTJ0op4ziWUu677+z111/3d//wD8ePHbvphhvOXbhwbHs7Ilpraa/X62M7Oxd3dxeLxWKxWMxmafOiAB3uX+Ay213XhTS1ViJaZi1lGMdSSkS01gBJtoFSyjRNtdbWWimltZaZfd9nZmZymSAiWqbtWmu2ZgBCQrItCRjHse/7zJQEtNZqrbazNSRnKiIkhE1I4zRFBABIKqW0aTJIsl1rba211rquy9ZKKS0TG0mgUGtZSnFmy7TNiwh0uH+B+9nmOUmyzWWSbEsCbEuyDQCSANtcIQlsA5IA24AkAzYPIMk295NkG5BkEAC2uZ8k25IA2wAgyTb3k2Sb50vCBiTxogMd7l/gqn8RBA9g2zZgmxeNbdu2bQO2bQO2ucw2/0Fs869nAGzz/NgGbAOAbds8L6g8QN/3gvUwlFJaa9yvRCBlpm1JkmwbBLO+b5lARAzDUGuNiGma+q4bp8l23/fTNEnKTNsRAbRMASBJkm3bvFAREREtE5sHkATY5gUopWRmKaW1xv0kARFRSmnT1PX9MI62Z7NZa621xnMBHe5f4LKIuPOuu9J+0M03X9zdPXXiRNrOVMTB4SH2fD7v+34YhtZaVysScPuddx7b2WmtHS2Xt9x004ULF46WyxPHj589f/7aM2dKKfeePXvy+PFxmrY2N7taD46OSsTmxkbLxJ5aG6epq7WWknZEALZDaplARNi2PY7jcrnc3t4upfAs9jhNkmqtPEBmAhEhaXd3d7FYHC2XJ48fT1uQ9jiOJeJwudzd3T154sTd9957w3XXzeezW59x+/Hjx44fO5aZPBBU7tda+4cnPDFCFy5e3N29dPNNN+4fHJw5dWo2mz/16U+/+557XuwxjxmG4fzFC1sbmy/9ki9x8eLFWuvjn/jEiKi1Hh0dHT927MlPe/odd935sIc85O8f9/jXeNVXuebMmb/627+95vSZRz/yEV3XPf0Zz/i7f3jcTTfcMIzDqZMnz50//0ov//J/+hd/2dp0+tSptJ25Wq/nszkwn89sr1arvu/X6/Udd919w/XXdbUbp3E+m13c3b32mmvOnT//ci/90hcuXnzarbceP3bswsWLp0+dvue+ex9yyy27ly5JGoaxlJLOi7u7t9x009lz506dOLl/cPCSL/bYru9vfcIT/+5x//Cqr/hKu5cuHR0tX+olXvzg8PDOe+5+zVd5ldaaJJ4FKs+mcRwj4mm3PkNiNuvvO3du99KlEmX/4ODUyRP7B/tPespT+6674cWvA4QWi0UpZb1enzh+/L6zZ8dxXK/XXdddvLi7WMz39w8e/rCHveRjH/uUpz/9cU944qu84is8/RnP2Nne/ocnPKHraqZvve22Rz7s4adOnnjqrbeeOnnqzrvuvuOuOx/x0IeO47S3vzdNrevqHXfdfeP11z3mkY+8uLt78eLucrU8duzYrbfddtP1N9z6jNvOXTj/6Ec+8r6zZx/3hCce29m54frr/upv/+a6a659wpOffHS0PH/xwos9+jEt8+/+4R+uOXP6T/78L+azWWvtrnvuffAtt5yezdbDuuu6YRyXy+XNN96YmfsHB9eeOYPEcwEd7l/gssy8tLdXSrm0tzcM4+lTJ+++556TJ0/ed999Z06fVsTBweFqvTpx7JgiTp86tbe3d+b06cc/6UlnTp1ar9fDOA7D0Pf9OI7Hjx+/776zN914w/Fjx86dP2/73IULL/6Yx9xx55333HffDdddd3F397prrn3GHbc/4mEPG8fxnnvvu+nGG267446QTp86JWlvb389DMa11FrLOE4bi0XLJmn/4ODaM2ciYrlanT9//lGPeMS58xd29y5dvLjb993W5tadd9/10i/xEvedPVtrd83p08Z7e/tTm3a2ty/u7p48cfK+s2eHcXjMIx+5f3Bw9ty57e3tO++6+8zpU8Mw7B8cXHPmzC033ZSZPBDocP8Cl0lIAZQIpGyt1JqZpZTWGjgUSM603TIjorXWd13LlCTp6OhosVhIsh0R0zS11mqtQCllvV53XVdKaa1Jaq11tY7jiFRLmVqrtQKtNWxFRARgGxvJNpeF1DKxFVEihnEsEbWre3v7mxsbq/W6lNJ3HQLUpgmIUrBtKyJbK7UeHR2VUrpaIyLtrtaj5dL25ubmMAytNZ4L6HD/ApfZ7mpN23ZmArZ5HpJ4ANvcr0S0TC6zHRGllGmauEySbe4nKe2QANuSbAOgUqK1ZgjJtqSImFoTRISk1pokwLYk25JqrcM4lgggMwFJgG0uk2QbqLUKDNM0AZJsR4Sk1pokSTwX0OH+BcBQS7n7nnsWi4WkzY2NiCilSMrMiAAAZ7ZMSRFhWxIgyTaQmREBSALGcTw4PDxx/LhtgQGwM6IIhnHsakXCNmRmKcW27dVqNZ/PaynDOJZShmFYD8OJY8da5uHh4ThNJ44fn6bJdinFdok4Wq3GcTxx7FhrrWVGhMQ4ThFRSslMcKYjopRy+x13bG9vC44fP95aG8dREi8cVK6wI+IZt99+eHT08Ic+9OSJE/v7+3/3uMdvbixOnzp1/uLF3d1LN1x/3bnzFx764Adtbm7+zd/93U033HDv2bObG5sXdy8eO3ZMAETEcrWqpaR9cXe3lrK9vd133YWLF0+dPLUe1huLxeHh0TAOr/RyL/d3j3v8/sH+yRMnJYCDw8PNjY31en3n3XffdOON5y9ceIWXeZnlavVnf/lXx3a2gZtvvGk+n916223AzTfe1HV1b28/nbuXLmWmpGmaNjc2z5w5fXBwcN/Zcy/30i919z333nn3XTfecANw4vjxe++7b3//4MLuxZ2tbcQ4TadPnnzUwx++HgZJvBBQAUBSa+0lX+zF/v7xj3/Ck5506sSJg8Ojxz/piTdef8Ott99eS720t3dpb+/UqZOLxeKuu++2fWlv//Do6J57793Z3rnv7Nmjo+VjH/Wopz796f2sv7S3d+2ZM5j9g8Oz588fHR09+hGPvPW2Z5Qoj3j4w/7m7//u9KnTwzj+w+Mfv7W1tbe3P07j8WPHnviUp1x37bUv8ZjH7B8cPvXpT9/b23/Jxz72jjvvWsznd95993K53NzcfNDNN1+4ePHc+fPjOL7yK7z8r/zGbzzsIQ95xu2311JrVw8ODk6fPHVp79K58xeuveaarc3NP77tz5/69KcfLZfjOL3MS77E4dHRcrXc3Njc3dtbrZbnL1zUIx4+jCP/ItDh/gUui4i9/X3B3ffee8tNN02tPfXpT3/QzTcfHh6ePHHyGbffdtONNz7jtttvuP6648eO/cPjn3D9dddeuHhxMZ9vb29jX7x0yfZ8Nts/OLjmzJmu6552663HdnaOjo4Wi8XxY8dsnzt/fjabhdQyH/rgB99+xx3L1Wpnezszdy9d6rqu7/vlcrmzvb0ehtVq9bCHPORouXzK05524/XX7166dO011yzm83vPnr106dI111xz/bXXPv0Zz9jZ3r7jrrt2trc3NzbOnT9/3bXX3nX3PbNZf/LEiZPHjz/11luHcTy2s3Pvffc95pGPPDw6ms1mT7/1GSdOHJ/PZhd3L0VomqZHPeIRwzBI4gUBHe5f4H4RYburdZwmSV2t0zRFRGut1jq11tU6tdZam81m0zSVCNuZaSilAJlZSrSWtruuy0xJtrM1pIiwDQiGcay1SsI2RIQg7ZAyUxLSOI4R0XXdOI6llGmabHddF9LU2jRNfddNrXW1ZqahREytdbWm3VprrfV9D2RmV+tqvS6lZGbXdZlpu5QyDkPLLKXY5jLbSOI5gQ73L/AAtdbWmm1JEdFa4362IyIzI6K1pgiBpMyMiNZaRNRap2mSlJmSbPMAtdbWGpCZtdZSyjRNmdl1XWuttRYRAJCZpRQus11rzdZKKYZxHAFJQETUUlqmpHEcgYjIzIgAbBu6WiUNwxARLbMrJe3MlJR2ibBtOyIyMyJKKbanaZLEs0BwP0nA02699Y677srM9TDceddd0zRlpmEYhq7rDg4PSynTNNVascdxXK1Ws9ns3vvODuOYmU988lPOnT8/jmNEjOMIRITtUkot5dbbbluuVrb7vj88OvqdP/iDCxcvRsSf/eVf3nPffX3fj+M4DENrbT6fP+P22y/u7rbWjpbLP/yTP7mwu/uXf/O3T3jSk7quA2zXWu89e/Yv/+Zvn/DkJ//N3/99KSXt1Wol6dbbbts/OIiIkP7yb/7mj//szyRN0zTv+3vOnn3G7bcDtkvEar2WVEoZp6mW0lq79777Lu7u1lp5IKjcr7X2V3/7t/fed9/pU6dufcZtXd9durT34FtuvvW227e3Nsdx2tra7LouFI9/0pNe5zVefRjHv/qbv53NZqdOnLjz7ruO7Rzr++6ee+978INuecrTnz5NU2Yu5vOj5XIYhjd4ndf5u8c97s677l7M55f29173NV/zrrvvPra9c+999y1Xqyc99ak729ur9fp3/uAPgJ3t7Vd5xVc8f+HC2XPn1sOASeev/uZvvtRLvMSF3d31ev20W2+99bbbXu+1Xms+m509f+5lX+ql/v5xjwf+4q/++uKl3e2tre2tLcw1197w+Mf/fShe5iVf8i/++q+fcfsdb/S6r7O7u3v3Pffedvsdy9VqZ3trb3//1V/5lc+eP/9Xf/O3D7r55uVqebRc3nTDjdecPj1NkySugAAASa211Xq9sbE5jGMpsbu7e+bUqXvvO3vh4kXQDddfd+99Zxfz+f7BPnZEtNauOXP6+muvvbS311ranqZpc3Nj99KlCxcu3nf23DVnznRdd+78hb7rM/Noudzc3Dg4OhTCbG9tnT1/Pu3lcnXi2LHDo6NpHI/tHLvh+utLKcM4RsTB4eE4jpubG6vV6kE333xpb8+ZXa0njh9/8C0PArY2N0+fOvXXf/d3i8W8ltJ33Q3XXbe9tbVarVbr1aWL504cP35pf+/pz7jt8PBIEqjrupbt0t5ehGqt11933eHR0XK5bNnm8/ne/n7f95sbGy2TBwId7l8AbNdady9dWq3XJ44dOzw6KlGixHq9jojFYiFAOnf+/DWnT1/a2ztx/HhmTq0BXa17+/tbm5t7BwchbW5u7u/vz/q+73tFjMMwjOPpkyf39vf3Dw5Onzq1e+nSyRMnJJ2/cGGaJmA2my3m877v18MgyZkbGxv3nT37tFtvvfaaa2656aYLFy+eOX363Pnzfd9vb21JKqWM45iZwzhe2tuLiNMnTw7jaLuWctc99xzf2en7fmtr676zZ1trp0+dOn/hwulTp4ZhSFtwtFxub2211kqptZbzFy5sb23tHxxsbmyM07SztZU2zwI63L/AZbZrrSFNrUUEtkESkJkAUEuZWisRU2uSeCZHlMwspdjOzBJhyExAkqRxHGutJWJqrZQyTRPQ1doygYhordmWBACZWWvFjohpmkqt4zh2tabdWrMNRAQgqZZimKZJEgCUiLSB1lrXdYJxmmqt0zRJkgRERGsNAGzXWrO1KCUzBS2TBwId7l/gAWxHhG1AUiklMzNTEhARmSkwpB1SKaW1xmVpF6llRoRtSZlZIhQhaRzHiMjMiLANSLItybYkICKAzJSUmZJsA5IA20BElFJaa5kZEZkpKTMlcT/bkrjMNiDJtiTuZ1sS97MtybYknhfocP8Cl9kGuq67cPHiarW+7tprzp0/f9+5c0dHR496+CM2Nha7ly4tV6tTJ05c2ts7c/p0KeXw6Gj30qVrTp8ep6mWUmtdrlabGxur1arU2lpbzOcHBwfL1eroaHnq5AlFLObzo+VyPpuVUg6PjvquAyRlZkRc3N0tpWxtbrU29X0/tYbpujqOI1BrBY6Wy/39A/DJkyedOZ/Pj5bLjcUiMyXxnwR0uH8BkDSM4+Oe8ATbd9x11+Zio+u67e3t2++44/jxY2dOnbrrnnuE0rmxsTEMw+6lS496+MNPnzr1x3/256dPnTxx4sTTb711Z2dnvR6O7Wzv7e8//CEP+dvHPe7UiZPbW1vnzp9DWsznaWPvXtp70C03P+SWW37nD/7wzOlTwPkLFyLilV/+FZ74lCefPXfuzOnTwPkLF/qun8361nI+n836/s677z5x/PjO9vbTbn3G6VOnpmmqtQ7D+vDo6OVe+qWvv/ba1Xotif8MEADQWtvZ2louV4dHR/PZLEocO7azs7197TVnrrvmmnvuu2//4GA9rBfz+TRNQGutlLKzs7O1tXni+PFpmi7uXmqt3XLTTeM4rdfrpz/jtuVytbt3KSKuueaavu8Pj45CcXB49OAH3eLM9TAM47Ber8+eO7d76dLmxubJk8dPnzrV9/2ZU6cu7e1duHjx+PFjO9vbiHvPnr3nvvv2Dw4Pj5az2ey6a6+ZpnE9DOlsmQ998EPuvPvug8PDiOA/Cehw/wKXSRrHsZQyDMM4TovF3HZmRkRruVwtNzc2di9d2tnZmfX93v7+fD6f9/3u3t5iPm+Zq9Vqc3NTMLW2Xq/ns9lytdrZ3j53/vzxY8fW6/XW1tb5CxdOHD+emaWU1Xr9hCc96SVe7MWGYcjM+Xze1dpaOzw62t7aOjg4UMR8NkNarVYCQ0SEdHh0tLW5mZmllIPDwxPHj7fWhnHsau373jb/GUCH+xe4nyTbESEpM7mfpIhordVSWmZmllIy03YpJTMlRURrDZAkyXZEtNZqrdM0RURm1lKm1rjMdldrywQkZaZtSRHRWiulAJkJRAQ2ErYhIjITACJimiZJkmzb5j8J6HD/As/DtiQewLYk25IA25IA25IA25K4zLYk25JsS7ItybYk7mdbkgFbEpfZlmQbkATY5n6SbEsCANuS+C8AOty/wFX/IgiuelFAcNWLAoKrXhQQXPWigOCqFwUEV70oILjqRQGVB8hM2/y/JykieCCo3E/S1vY2ElfZy6Mj2zwLVACIiKOjo+/9/h9YD+tQGPP/klA6+75/h7d7u82NjdaaJADQ4f4FQFJr7e577slM/t8LxfXXX1dKsc0VoMP9C1wmqe86JK6yh3G0zbNA5X62V6sVNoAEkAkgEcH/M5J4IKg8ix19r/kC8HoFaDbDgPPgAIn/z6Byha2um87ed+k7v8OHh8c+6EOmO+84+p3fUqnl1Klj7/N+Xq+R+H8LgisyNd/Y/eZvqtddt3iN17j45V/SP+KRs0c9ev03f+VxpBRs/j+D4ArJbfTR4cbrvt7m67+hx7G7/pZ2/ryHYf4Kr0hrSPx/BsH9VKqnNt1993TvPdR66Ye/d/YyL3v6c7/gwpd8EZlI/H8Glfu5Tdtv87Z73/+9ZG695VuXM2d2v+WbYmtr623elloZBiL4fwt0uH+BK2wtFu38OY9jvfY6IvLixTw4qDfd5NWK/+dAh/sXeJZMuk6ShwGgVpXi9ZoI/p+DygNFME0GIgBac2tEcD/bknjBbEvi/x6oPEBmSgKcGRFpS3ImICkiSsQ4TZIkZSYQEba5zHat1fbUmiAibKcdEc6UxP1sSwIk2TZgS5KUmUBEZCYQEbZtR0RmRkRmSgIys5Ri27Yk20BE8J8BdLh/gctsLxaLaZps9123Wq8Xm9vj+qiUGrUOq9VqtWqtnTh5cr1aTdO0sbFQ6dfLQy6zPZvNLu3tlYjtY8eAo4ODUspssbk6Ouj7vrXGZa21+cbWsDoCWmullFJK6WbTsBrHcbG5SebR0dHGxgZRlocHtdaIWK/XGxsbR0dHi8VivV4D842t1dFBrbX2/eroaL6xwBwdHvKfAcqnfeonAbZrrY97/OPbNE3T9OSnPvXYsWO/+mu/urmx+Yzbbvu7v/3bG66//m//7u+/7wd/4Pprr8vM7a2tv/27v/+rv/6rkydOLFer1Wq1XC4v7u5+1/d8z4ULF4b1+vGPe9zNN9+8e+nSb/zmb9x0441PfspT1qvV3v7+pUuXaq2//hu/vrO9vX9wUEs5d/783ffc8+d//udC8/nsj/74j++9775rzpz587/4iyc84Qk33HD93Xfffc899+7sbP/VX//N6dOn/+Zv/26xmLfWfuM3f+PMmTP33HPPX/3VX506efJP/+zPnvGM266/7rqI4D8c6HD/ApCZW9vbb/sO7/gyL/1SN9xww4/82I+/7mu91tFymZl7e3sXd3cf/ahH3Xb77Y9+1CPX6/WpU6fe/33e5x3f9d1e8iVe/IM/4AN+7Td+AxShX/61X9vc2HjLN3/zH/uJn8xsj3nUo/f29yX1ffcXf/XXD77llu3trWEca6m1lmEcj46OPvyDP+Qnfvqn/+7v//6aa86809u//SMf8Yj3/oAPePAtD7rmmmse/8QnvMLLvdwHf8AHfOlXfOVf/+3ffMxHfuSHfeRHffs3f9Nnf97nv897veeTnvzk226//ZGPeMTjHv+E6667dnNj8+//4R/e6A3e4K3e4s37vrfNfywIAJA0DsNDHvLgvb3922+//cG33PLUpz3tcz/nC06cOH7i5ImP/5iPbm06e/bs9tb26dOnNzc2Vea11pMnTx47dmw2m/3ET/3Ur/3Gb+5sb7epPeTBD375l3vZj/voj/77xz9uf3//cz/nC26/444brrtuuVodHBy21m6/447P/qzP31hs3Hbb7dddd60k4PixYydOnDhx6syrvcqrfPAHfsDjHv/4WT+79pprZrPZ8ePHThw7/od/9Mev/Iqv+Id//Mdnzpz5y7/+68c86tE333RzKeUVXu5ljx87Zues76+77trZbJaZ/IeD8mmf+klcZvtv/vZvz1+4cP7ChUc+8hHz+fxXf/WXxnHc3b30K7/2azfdeNM4Dl3Xt2n6gz/6o+XR/hOf9KTtre3HPPrRT33a01/qJV/ykY94+OMe/4QScfz48d/67d/+nd/7/Zd9mZeW9Mu//EvbW9vXXnvN0dHR02+99eEPe/j21tYv/8ovzvr+oQ99yM//wi9K6rru8OjwoQ95yMZi/nXf8I1PfNKTHvXIR917770729uPfcyjn/jEJx0cHDzpKU9+7KMf/Vd/89cv/mIvfvc991y4eLGU8oQnPnE+X1y8ePG+++5rmSeOn3j4wx7adR3/4UCH+xe43+7u7jCOrbWNjY3NjY0/+4u/eOyjH31pb+/8hQsv+eIvfvbcuWc847Ybbrj+0qVLwNbW1j333vtij3lMKSVtwdFyeeddd9VSZ7N+tVq99Eu91MHBwV/+9V+/wsu93HK1msbx4PBwe2vruuuue8/3fd/3ec/3eoM3fMNf+ZVffskXfwnjxz/hCQ+65ZYzp08/4YlPnM/nj3rkIx/3+McfHBy81Eu+5Gq1GsZxuVxub23t7e8/6tGPPXffPUfL5ZOe9KRXfqVXuvuee+65596XeemX+vvHPc6ZL/7iL15Lsc1/LNDh/gXuV2uVJKm1lpmLzc1htSylllqXR0e11m42a8NQagVaa6Xr1sulbUlARHR9j+1MRRweHpZS5hubq8MDRUgqpUzTBGTmcrlcLBaLzc31cimpny+mYT2O42KxcOZytVosFipleXgYEZJKxNRarfXo6KjvOkX08/ny8LCrtfb98uhosVgAy+XSNv/hQIf7F7ifbe4nKTMlAbYjwrZtSbYBSbYjwjb3sy3JNhARtm1L4jlFhKTWmm1JgG1JkjJTkqTMBCLCNg8gyTZgWxJgWxHOBCKC/wygw/0LXPUvguCqFwUE/2+YfweoPIAk27YBSba5zACIZ5NkG5BkG0lgm+cREZkJ2JYEAJJs8wCSbHOZ7YgAMhNJPJskSbYlZSYgybYkIDMjAshMSTyApBLRWgMAg0ASLyKoPMB6GPqu67suIlbrddd1EZGtlVqx087WkGopwziWUoBxHPu+z0zbfd9nZmaWElK01oCj5XJzY6NEILXWJAnWw9D3nZABO+3MLKXYLqWUiPUwSJrNZsA0TbWU1lqUsl6vh2Ho+34cx/l8HhHr9brv+2maMnNjY2O9XgMbi0XLFKQtQJqm6eDwcHtrq5aSdoSmqdnOTF4UUAFAUmvtb//+71/lFV/xGbfffnBw+GKPefSdd911aW/v1MmT99x3X4nY3Nzc2d5urd1739lbbr4ppD/7y7/a2dl+xMMeNo7j1ubmE5/85J3t7c3Nzf39/XGadi9dqqWuh/U1Z84sl8vVen3tmTPDOI7j+KhHPOJpt946juNsNhvH8dZn3PYqr/iKy9UypN1Ll3b39h77qEctl8tbb7tdoZtuuOGee+87ferkweHhM26//ZozZ4ZhKKVsbW6O4/ToRz7i3vvu++u/+7uHPOjBw7B+yIMfbPtv/v7vjx871lrrame8sVj89d/93bVnrjl18sTh0XI264dhOH/x4jWnTz/y4Q9fr9eSeOGgcj/DcrlarVZ/8Md/Umt5yIMf9IQnPfnBD7rlCU968nK1fPJTn/awhzz45IkTe/sHwzC85Iu/2B/+yZ8odPsdd07T1Pf9ox7xiL/9h394+EMfdu/Zf7jummvuvOvune3tYRwuXNy9976zi/k8Spw7f/7ue+45eeLkg26++Q//5E+2t7Y3NhbDMJRSZ7P+7x//+Mx2z733Hjt27J777mut3Xn3XVtbW7fdfseZ06ef+vSnbW9vD8P413/7d9tbW4vF/G/Pnt3c2HjQLTc/4UlP7vv+z/7yL8ZpOnnixKW9vYODw6c+/ekPf8hDj5bLJz75yQ+65eZa6l333PP4Jz2x7/vFfHHi+PH77jt7y003YfOigAoAtrtaF4vFU572tJd68Rcfp3Fjsbj5phsPDg5vuenGu++992Ve6iUffPPN9507d/zYzvXXXgvcfOONT3/GM17ixR57z733XnfNNbO+v+Wmm86cOnnvffc98uEPn6bp+LFjwMkTJ48f25nP55Iy8/TJk4vFYj6fv8RjX6zWMp/Pz1+4sLmxuV6vb7z+uqfdeuuLP+axm1ubfdeF9OKPfWxX6ziO9507/2KPeczh4eE0tZtvvKFlnjh27NprromIjcXihuuvu+/suVd42Ze9cPHiyRMnaq1/97jHnzxx4mEPfchTn/70l3ixx25vbV3Y3X3QLbcMw3oYx9MnT/Z9f/zYjiBtXhSgw/0L3K/WmpklIu3WWq3VtiRJQGutlCJomdM01VolAZIyc5qm+Xy+t7d3eHR0zZnTNpJsA5kZkiEkIO3M7GpN23YtJe1pmkopJSLt1pokQJLtEmEbCZAEZKYkwJkts5QiSVJm2l6v17fedvstN924tblpkGRbEjZSZgK2S4nWMjN5UYAO9y9wv4hordmWBAC2gYiQZDszAUlI2KUUSdM0RYTtljnre+ypNaDvurSdWUppmZLGcez7vrWWmZmJhA1EhKSWCQi6Wsdp4rKIaK2VUmynjY2EDZRSbNuupaTdWpMESFosFqvVqrUmiRdMEi8i0OH+BS6zffHSpWtOnUJqrdVap2mqtTrzaLVaLpeL+XxjYwPITEDSU59+a993N1x33d7+/s72dtd1Z8+d29nZadOkiKffeutisVjM5xcuXjx96tQwDNecOfP0Zzxja3PzumuvlSRJYFgul0jz2Swzbd92xx0PvuWWUsp6vd4/OLjm9On7zp2bzWabGxu2gYiQdHF3d9b3m5ubd99zTynl9KlTtiVh33fu3Injx2d9P7Up0/z7QQUAiUz/0Z/+6U033LCYL/YP9k+eOHH+woWd7Z2jo6PDoyPEztb2pf29m66/4Z777tve3nrxxzzm7LlzmXn9ddfdd/bs0269dRzH3UuXtjY3p6kN43DDddcdLZdPe/qt+4cHZ8+du/e+s49+5CP+/glPeMRDH3rm9OmnP+O2O+668/ixY+v1erVeY06eOFFKXNrfn89mt91xx4njx4dhuHBx903e4PXPnjt/+513vNHrvd5f/PVfr1br+XwGnD137vTJUwo94/bbb77hxic/7WldrbuXLr32q7/6XXff87Rbb12uVq/0ci83n88zk38nCJ5JmbmYz/f3D57ytKeB/v7xj0e65957777vXuO+6+66557TJ0894SlPjojzFy5y2TAO995339lz5y9d2lut1kgnjp8YxmFne2eapnvuuXcYh77r0t7Z2f6HJzzh4Q95yDiOtp/+jGdcuLh74eLFjY2NzFSodvW+s+eeduut5y9cnM/mh4dHT3jSk1qblqvVuQvnb7/jzqOjo0t7e+M43H7HHbXW8xcunj1/bn//YGOxuOvee0rEufMXzp0/vx6GUspTn37rxYu762GQZJt/J9Dh/gUuk3TrbbfVUnZ2du47d+6m66+/7Y47brz++vvOnTu2s7NarebzxXzWD+P4+3/8x6dPnnqd13j1Jzz5yZk5juMN11136+23P+FJT36NV32Vne3tg4ODrusu7u72fb+xWJw9d/6aM6cFU2uge++77yVe7LG7ly5duHjx1IkTkoZxPDw6On3q1Nlz54DNjY1aaynl4PBwmqYH3XTTbXfcsVoPj3jYQ3//j//4xLFjN95ww3w2u+uee06eOLF76VK23N7e6vs+My/u7j74llv29/fXw3B4dHTLTTfZ5t8PdLh/gft1XQdkZi1lnKau68ZxrLW21iTZto29u7e3tblZSomIiAgpM/cODjLz2M5OZkaE7VKK7WytdnWaGiCptSYpMyOilJKtGSRFRGutlAI409gmIoBxHLuukzSOY2ttPp+31mzXWltrtRSk1pptoJQyjmNEhKSIcRz5DwE63L/A/SJimiZJtiXZlmQ7IiKCy6bWulpba7YB20jYs9nM9jAMkrjMtqRSyjhNIQG2u66bWsMGbEviMtuSJAGZKQmQJCmktG3blgRERGsNsI0E1FKwo0RrmZlcZjsi+A8Blftl5oWLu6dPnRQgZaYAqZayd3CwXC5LKZjTp0+N4yiplCIJu2XWWs+ePbfYWGwuFi1TUmZ2XddaO3f+/DVnzmRmZnZdd+999506ebLr+2maJEmSZFuS7aOjo4jY2NjIzMxcrdar9UpSV7thHI7t7JRS9g8Opmk6ffLkMI5d12Wm7b39/WmaVqvVYrE4eeIEgG1wpvmPABUAJGXmE578pI3bF7VWxKW9veuuufbsubOLxSIi7rn3vggN4/jgm2+5tLe3Wq9Onzo1juPh4dFrvtqrPu4JT3jSU556/XXX3nD99fPZbLVeP+nJTzlz5vT+/v7m5uYdd961WCwe9YiH//lf/dXd9957zenT+wcHr/Eqr3L7nXcC9953dpqmjY3FOI5Hy9XGYr5ar2+64YYXf/EXv/e+s2fPn3vEQx/6lKc9/bY773jQzTeP4xgRT33601/upV7q3PkLiOVqNev7+86eveG6689dOL9YLBazee3q3t7exsbmy77US2am+HeD4H6llKOjo6Pl8tyF8xcuXpym9pSnPe0Zt99x7vz548eO1Vo2NzYfcsuD7r73XtvHdnb29/ef9JSnHC2XwzCcPXd+Z3v74u7u3z/uccvVan9/P5233nbb9ta20G133LF76dI0TbuXLm0uNp526637+wdApv/2H/5hb3///MULe/sHW1tbEVoPw9333LO3t7+/t9f33d333LtYLIz39w/uvvseSSXKQx/84Gfcfscdd9/1hCc9eXNjY5qm7e3t/YODWuve/v4wDnfdfU+tdZrG1WoVEv9+oMP9C1yWmavV6sLu7ubGxj333ffEJz/5FV/u5TLz2PZ23/er9froaHn82M4wjhERkiKWy+U0TTffeOO9Z89e3N295syZe+699+EPfehTb731/PkLL/HYx0haD4NtSSeOH7/z7runaTq+c2zvYP+Wm25ardeHh4eL+fzsufMnT54QrIchM9fr9WKxqLVubW4+6SlPPX5s58zp07fdccf111131913b21ubm5ujuO4e+nSfDbf2trEPjg8LKWUUvquO3/x4mI+39rcnKa2ubkhiX8/0OH+Be4XESUC2Ds4EOxsbwOttbQjIiJaa4DAAESEYBjHrtZSyjRNtevGcRzHcTabgVvLiOCyqbW+6wQtMyKGYYiIEpF2KWWaJkCSJEmZKZham81m2do4TX3fj+PY9322lk4pSoTtlglEBGDbdq0l0601SZnJi8a2JF4Q0OH+Be5nu5QSoUwD0zQBpRQgMwFJpZTWmm0usx0Rtm1Lsi2plII9tRYRtrlMkm0AsN3V2jJtc1nf95kpyTYQEcMw1FojorVWa52mqat1tV6XUjLTNmA7ImxzP4NAUiklM20DtiXZlsQD2JZkW1JEZCYvCOhw/wL3q6Xcd/780dHRDddd13UdYPvw6EjSxmLRWjPcdtvtD7rl5lJKRNgGWmuSaiktMyIyc7lcTq0d29kZxzEibEcEkJkRAYD3Dw7ns9lsNrPdWnvSU5565vSpS3t789ks7cPDw8c++tH33Hvvvffdd9ONN95x113XXXPN2XPnHvnwh+8fHGxtbkaE7a7rpmkqEUDLBLqum6ZpnKbDw0PM8eM7oIhordVap2nifhEhaZqmrusy876zZ8+cPh0R0zRJ4rlA5X62/+rv/u622+945MMf9g+Pf8KFixePHdtZrlar1aqUcuL48VrKhYu7GxuLW//gtlMnTg7juFwuF4v5pb39rc2Nrc2te8/ed/L4iaPV8ujo6JrTZ17ixR77J3/+59dfd9258+f7rjs8Ojparo4fO5bZpDh77tw1Z06fO3/h5V/mpVfr9d/8/d+/5Is99qlPv7Xru52t7bPnzh0/fvzEsWNPespTjx8/PDo6esbtd+zt7z34llv+6m/+ttZ66tTJg4ODWuv+/v6Z02cu7u7edOMN9509V0pERCnltttvv+Wmm59669NLKcvVqpSymM9Xq/Urv8LLC5769Ftvu+OOzc3NcRxq7STOnT9/5vTpw8Ojhz/0ITfecMM4jpJ4FggAkDSO46W9vb7vHvKgB52/eGHvYP/w8PD4sWMRUUrZWGycPX/+jrvvunBxd2d7exiHpzztaUfL5XoYThw/Vmt9wpOfvFqt9vb3Tx4/kZknThy/uLvbModhXK3XZ8+fby1Pnjg+jsO9Z8+O47ixWOzt71+4eHEcR8H21tbZc+f7vpv1/Xw2G8bh2Pb2uQsX9g8Oju3srNbr+aw/c+p0Zl5z5nTLtpjN77rnnic/9WknT548Wh4dLZdPfPKT7z173xOf/JTlcnl859jJEyfOnT9/cHi4t7c/rIeNxWL30qV77rv37Llzad91zz2333nn3ffeY3PvffdtbW5e3L00TW3/8ODOu+8upZjnBDrcvwDYrrXee999h0dHD77llqOjo91Ll04cP26YxvFouTx54uSFixeQNhaLiCilrFarYRh3trdapsCwt7d//PgxYBzHaZquOXPmaU+/9dixnaPlsu+6zY2NlhnSX/7t3z7o5ptPnjixWq3X69Xp06fnff/02247ferUwcFB13WSxmm66frrb7/zrv2D/WvOnLlw8eJ111wzTdPGxsbB4eFqtTp+7Ng99923ubGxsVjYvrS/39W6Wq12trcPjo66WhXRd91qtWqZJ44fz8zlcjUM64uXLj36EY+4cPFia+0Zt99x4vjxm264vuu6s+fPb21uHhwcLBaLE8ePZyYPBDrcv8Blhq7WiFiv16WUEtFaM0RESFNrpRRJrTXAdkSE1DJtSwJKKW2akCQB0zTN+r5lhpR2ZkoCMrPrutaapIiYpikzZ7N+mlqJSBuQNIxj33UlYpymWus0jkiZGRER0VqrtWZmZkqKCNslomVGhDOBtCNC0jRNQImQNLVmu9Ya0nocZ103tWa71pLpiMjM1hrPBXS4f4H7SQIA2yEpwnZmAhFhu7XWdV1mSgKmaSql1FqnaZLUWqultExJaZcI27YjIiSD7cwspbTWbNdap2mqtWYmIGmaplqrbS4rEeM0lVIy03ZESLINSAJHFNuZGRHANE2SgIjIzIjITNtd19lurXE/24Ak24Ak29xPEs8FdLh/gcsiYr1ej+M4m80kLZer9bDevbT3oFtutj2N4zCO4zj2fT+bzcZhlNje3h6G4YlPfsotN99USpn1/eHR0fbW1jiOXdcN4zhNU991q/V6b3+/77rtra2u646Wy/lsVmu9cHH35Inje/v78/l8HEfB9vb23v5+KSVbm8/nF3d3jx87Ngzjar06Ojq67rrrhmHoap1aw87M+86dO37s2MZisXvp0t7BwYnjx8+cOjUMw3q93tjYODg83NzY6Lvu1ttvH4bhoQ9+8DhOXVf5N4DK/TLzV37zNxfzxWzWt9Y2FovTp0495WlPHYZ12nfcddepEyfW6yFKZMuj5dFisXiVV3iFv/jrv7m0t3frbbfZefLEyYPDgzd63dd98tOednBweO78eeOtzU1JR0fLjY3F+QsXb7j+uvPnL7ziy72sIv70z/9iZ2e71tqmdrQ8ms/mr/bKr/RXf/u3Tl+4eHFnZ3s2m61X69lstrt3adb3T336rfP57OLuJduz2ayrdffSpUc+/GFPffqtxieOHbvvvrO3LW4/f+HC/sHB9dddd+HChdd7rde6/c47n3brrYeHR8DRcvmSL/ZirTVJ/KtA5QH6vt/Z3rY9xQS0lqdPnTp77rxCJ4+fuLi7u7O9A272LTfd1Fobx7GUmM9npUREnD518tyF86thOH3y5N333HPD9dedv3Dx5PETx47t3Hf2LHAwOzx14sT+/sHupUunT516xMMeunvpUmvN9s033eTM5XJ57ZlrWpvWw7rWOqyHrusedMvNw1OHjcXGfD677+zZWst8Pj95/PhsNu/7fv/gYBzH66+/DnPyxIln3H7bDdddf+ttt505dfr8hQv7Bwdd10k6ferk7XfetZjPSimtNf61QIf7F7gsIqZpWq/Xi8VC0tFy2Vrb2d4+Wi5LRGZGxHw+39vfn/V9rbVldrWuh2FYr7e3tw8Pj/q+G8ZxY7GwDUg6PDraWCwy0+DM1lqtdRjG+XwmqbXWdd3BwUHf97XWzIyIzCylDON49ty5aZoe8qAHtdZaa1NrgogopayHYT6bZabtaZoMs75fD8N8NrNdaz04OOhns2G9XiwWEbF76dL29vZqtepq7brONv9aoMP9CzxARGQmIElSay0iuF9m1lLSti0pMyNCUmutlJKZEdFakwQAEZGZXCZJkHZEZKZtSUBEZCbPSRJQSpmmicskSbJtW5JtQBIgKTMl2QZsl1IyMyIy03YpJTMlAZkpiedhW5JtSbYl8UAQPEApJSJKRERIAmqtpRRJtVbbETG1ZltSZtZaAUmlFKCWkpm11pBKKWlLklRKqbUCSCEJSimz2UySbaCWAnRdlVRKkVRL6WrNzIhIu5QSEa21tCOiREgqpdgGbEuqtQKllFIKUEoRABFRSpEUEZlZSuGyiIgISRERUtd1QN91kmqtPBcon/apn8Rlki7t7e3v77fMbLlar9o0LVerw6Ojs+fO3Xn33Tddf/2Tn/rUUspisViuVrO+3710qURc2tubWhvHcW//oO+6vf39Usrd99zTWmutIe3t7x8cHNRah/V6au1ouVwPw1Oe/vRjOzsXLl5cr9frYZjNZvfce+9isdjb26u13nPvfbffeediPh+G8eLu7jAO4zjOZzNJB4eHe/v7s76/97779vb3NzY20r6wu/vUpz/9+uuuO3f+vGC1Wq1Wq9V6vZjNMvPvHve4Uso0TZsbG3ffc+8f/umfnjl96s/+8q+Olssbrr/+z//qr+68++71MPzt3/9Drd1f/PVfl4hTJ0601iRxBVQAkNRa+7O//MtxnDY2FttbW7fdccexnR1Jp0+eGqfx7nvuPXf+/N333POwhzzkZV/qpQ4ODjYWi7/4679erVZbW1sRsVwuNzc25vP5XXffM5/PTp08ube/f/7ChRPHj7fWMnOxWJw/f2FjY1FK7bp6/sLFhz/kIecuXHjGbbdvbW1my+uvu+7pz7jtrnvuPn7s2KyfjeM4DMNTnv606669dv/gYNb3r/Eqr9L3/V//7d9Fib29vdOnTs3n8z/9i7987Vd/tWG9ftrTb929dKmWulwtga3NrQsXL77x67/eX/3131zcvfiM228/PDx89Vd5lflstljM/+pv//bmG2/cvXTpvrNnbW8sFn/z93//Si/38r/9+7/3aq/8ynfdffeDbrmFB4Lgfq21a89c8/CHPuTMqVMXd3cj4sTx4zffeNNqvV7M5y/2mEd3tW5ubB4/diwzpVit1+v1WhGHR0d9163XQ0Q5Wi6NtzY3b77xxlrrzvb28WPHbrrhhoc++CE7W9vz+ezYzrGbb7zxhuuvP3P6VGaGdM2Z0w+6+WaJlq3vu2M7OyeOH3/0Ix9x8uSJC7sXu66zfcuNN15/7bVPespTba+HdWaeOH7ilptuypY721uZ7vv+xR7z6PlsBpRSbrrhhhuuv265Wo7j2Pdd13XbW1vHdnYW8/liPpe0s719z733lVJPnTw5jOOlvf2HPvjBT3jyk17qxV/iyU992onjxyXxQKDD/QvcLzOBiJimKe2+6yTt7e9vLBaSaq2r1arUGtI4jrPZbD0M2dptd9zxiIc97KlPf/qNN9ywsVisVqvZbJaZXdctl8taqyTbpZRxmpzZdZ3t1hpQa7UNRMTe3v6xYztHy+Ws7yVN09QyS0St1TZwx5133XLzTU9+6lOvu/baYzs70zS1zL7rxnEspbTMrtbDo6O+62qtwzDYns/nrbWj5XJne/vw8HA+n9s+PDo6cfz4/v5B33dd163X67QX8/n+wcGxnZ1Le3ubGxu2eSDQ4f4F7hcRpZRhHEsEkJlA3/fDMNRap2mKCCAzI8J233XDONZSxmkqEWlnZkRIaq0ZaimZaRuQFBGZabuUYhvITEm2ga7WcZpKRMsEJJVSWmu2uazrutZaRNiepkmSJNuSANuSJGWmpIiQlJmZGRGZGRGZCUREyywRmQmUUoBpmmqtrbVSSmbyXECH+xe4LCIOj4729/evv/ba9TAooq91GMf9g4PTp06dv3Bhe2srIsZxnM1mwzDYPn/hwnXXXpt2V2tE2BakvVwutzY3DcMwzPoeyfY0TeM4LhaL1tpytepqBfq+z8xaSsschqHve9slAsn20dHRxsaGJOyIWK3XtmezvrXsam2tRQTQMqdpms9mq/W61lpKGYahtZaZaW9vbgKZaSilZGZETNMkqUS0zOVqVUtZLBbjOLZM8fxABQDbtZTf/N3fxbz1m7/Zpb29pz/jGa/yiq+4e+7c45/4pO3trYPDwxPHjj/6kY/4qZ//+Td6vdf77d//g+PHds6eO//Wb/5m89ns/IULu5cudV03DMMdd9314Jtvuee++yLioQ9+0JOf+rTW2rGdnbPnzi0Wi+2trYi4+957I2K9Xj/iYQ8bhmFvf1/o3IXzj3joQ9Pe3z+Y2nT7HXfeeMP1tVbsWuve/v5LvNiL/dGf/mmt9ZEPf/gzbr/9mtOnL+3tATvb29eeOfOkpz71Gbff/qiHP/xouXzEQx/6t//wD7a3t7Zsz2azO++66+abbhqGYXNj4+KlSzded900tUt7e13fPfVpT7/+uutKiePHjp06eWKamiSeC1Tul/aN11//5Kc+bbla7R8c/P3jH/+gm28+c/r09tbWNE3XnjlzaW+/tVZr9/t/9Ed9V689c8299913eHi4c+zYbXfc0Vo7f+Hi+Qvnb7rxxic/7am1VOMzp0494/bbu9r93eMe95AHPWgYxz/60z97hZd92dVq9ZSnPe3E8eP33HvfzvbW0XJ54eLF48eOt9aGcTw8PDx/4cKNN9zwjNtvd7rru0uX9jY3N264/vqI2Nvf/63f/b3rr7v2t3//9x/18Iffec89p06cmM/nT7v1GZn5W7/3+7NZf9MNN6xWq5d68Zf487/+q6Ojo82NjdV6/dd/93fL5WrW9y/2mEf/0Z//+ebGxt7+/uHh0ZnTp5745Cefv3jhxR/z2GvOnBnHSRLPBSoPIKnvuxJh++Ybbzx27Ngdd911z333vfIrvPzfP+7xD77l5lLKS734ix8cHpw6cfLS/t7GYuPOu+6OiJtuuKG1tlqtrjnzqL7rSqnL1VKwubm5Wq83NzZe+iVeYmd7+9z58y//si+ze2n3wbfcYvvaM9ccLZeLxfze++7b3t6+9syZs+fOzWezWsrpU6c2FgtJwziO4/jgW24RiogbrrsOdGnv0sHh4Ys9+tE3Xn+9FFObtre2jh/bAa679prW2mw2u+bMmb7vrrvmmr7rZrPZxUuXpmkax3Fne/shD3rQej1sb23defdd1545s7W5eeP11589f/6mG29orUnieYEO9y9wmSTbkiRJiohxHCMipJZZSrHdWiullIi0szWFDg+PImKxWGArQpC2JNtAZp47f+HM6VMlomVKKqUsl8tSSlfr1Fqt1Ta2JAMgybYgbUnYBknOTFsSUEpprZVSpmmSVCKm1iJCkkRrmZmllNZardU2tiSkzIzQNLWu62wDAoNEpjPTNs8X6HD/Avfrap1aKxHjNEmqtU7TZJv7RUSJmFqzLcl2KcV2ZvL8SCqlTNMESLINRIRt25Js8yKTZJsHkGTAlmSbKySBbUm2eSAJW5JtnockXhDQ4f4FLouIZ9x++5lTp1ar9cmTJ8Zx3D84OLazExER0VozjON439mzp06e3NzYyExeBLYl8b8dBPfLzHvvu+/pz3jGX/3d3915112ttT/5i7+47Y47gLPnzm1sbDz5KU/507/4i6Ojo91Ll2qttnkRSOL/AAjuZ3uxWCxXqxuuv+7C7u7O9vbxnZ3dS5dqKX3f7+3v/+0/PG61WvV9j91ak8T/HxAAYLuUslyuzpw+vbt7aT6b/+3jHhel3HTDDRd2dy9e3J33/au+4ivcctNNBwcH+weHB4eHEcH/H6DD/QtcJmm9Xvd9P5/Ndi9dql23mM+B/YMD25sbG6WUCO3tHcxnPZJt/v8AHe5f4H4hpZ2ZtVbbmQmUEqDMtA2UUjKT/2+g8gBpAxGRmYAkINNgQBKQmfw/BMFVLwqoPIAkwDZgWxJgG5BkO6S0JXGZbe4XEZkpyTYgyTYSNiDJNpJAkDYASOIy24Ak21wmyTbPjyTAgC0JsC3JNs9FEs9kWxIA2AYk8SKCyv0kjeMI9H3fWqu1ZmZrreu6kKbWImKapvlsNrUG2K6lINkGxnGcz2bjNHVdl5mtta7rMjMiMrO11vd9ZmZma63ruoiw3VqzHZJKkZSZtRTbSMMw9H3vTCTb3K+UMk0TAJRSxnGMUFf7cZoiQmCwXSJaJjCOY0RI6vt+HMfMlNR11SYzJdm2zQsHlQf4oz/7s1rrdddcs1gsju3s1FI2Njb+4I//+GEPecjW1hZw9ty5O++++yVf7MWEai0XDw9baxsbG/edPTvrZ/P5bD0Md9x518Me8uDzFy6cOnmy1rperxfz+c7Ozm133HHvffddf911h4eHN15//bkLF3a2t8+dPz+fz6+75prD/f3larW1uXlpf38YhtVq9VIv/uLPuOOOaZruvOuuF3vMY4ZhqLXavrS3d+rkSUmC3UuXrr3mmuVy9fT7brv2zJmDoyPsiKi1Hhwenjxx4p57793Z3t69dKm1LCXm8/kwDI9+5CPuuvueUspiPm+tzWazUoptXgjQ4f4FQNI4jn/z93//iIc97Ld///cf9uAHP/5JT3qll3u55Xp9x513SjGfz45t79xz3737+wdv/sZv9PRnPOMZt99+4viJ2+64fT6fX3vmTGbed+7cNLXjOzst2zCMu5d2r73mmoODw0c/8hHXnDnzF3/91+thODg43FgsZrPZIx720Kc+/eknjh+/dGmvdvXCxYvjMG5vb8/ns93dSw998IMe+uAH/8lf/MWDbr75CU9+8rGdnTa1e8/ed8P1169WKyluvOH6f3j845fL1Ru+7utc3L105913DcPY933fdcZ7e/snT5y49777HvKgB91z3317+/vz2WyxWOxeurSzvfWGr/u6v/P7f3DPffc98uEPm6bp4Q996Injx1trvBBQAcB213XL5epxT3ziYx/1qGEYb7rhhq2t7dOnT9dSaq333nff2XPnrjlz5sTx46v1+obrr7/73nuP7Wz3fX/tmTMPedCDnvr0p3e1O37sGPbmbKPv+77vbrz++vMXLx4tlxuLRdd1i8Via3Nzc2MjIvb292+56abFYrGzvX3vfWdf7NGPvu2OO6679tqd7e37zp6bzWZd181ns/V6eLFHP3q1Wt92xx2nT53a2ty8uLt7zekzd99zz0033LB/cHBsZ+e+s+fW6+HaM2euvfaa+86enaZpX/uZ7cEPuuWG66+b2tR19Ybrrlut1xE6fepUZk5tuvaaM7Z3L12az+e2eeFAh/sXuExSaw3o+34cx67rxmkqEbYBwZTZ1dpay8xSSimltZaZtZSWWUoZx7HruvUwdLXWUsZpsm27lCJpnKYaRaGptVrKar2ez2aZGREhAeth6LouMyNiHKeuq9M02a61SspMSaWUW2+77czp07O+r7Wu1uvFbHbXPfeWUq675sw0TS1T0p13333m1KmNjY1xHLuuG4YhIiTZzsxaa2stIoDMjAjbvHCgw/0LPIBt2xGRmRGRtngmSZkpCZCUmZIkZWZEAEDaJSIzuZ8k2zYRsi0JsB0RrbWIADITiAjANhARmRkRmQbbjgjbQK21tWYbiIjMLKUArTXuV2ttrWVaIiIkWksgIjITkGSbyyTxLwId7l/gfl2tisjMzKyltNZKrdjjNNVaW2u11swMaT0Mfd9npu1SyjiOQClF0jRNEWG7lAJgKwJwpiKmaQIkZWbfd+thxO773rbtaZr6rjOM41hKmaZpNpvZFkyt9V03TRMSdkS0zNaapFqrMw1ArbW1ZjsisKOUg4ODiNjY2GitrdfrxWKRrU2tdV0HRMQwDPyLQIf7F7hM0r33nV2tV5sbm/P5bPfSpePHjp2/cKGWes2Z02fPn9/Z2r60d8lw4cKFl3/Zl73r7ruf8rSnP+oRD1+v1zfdeOPfP+7xx48f62o9dfLkwcFB3/f7BweZWUoZx/Hc+QsnThwvESdOnACmadpYLO65775aytHRcnNzIzNLKdecOXPf2bNPfupTNzY2rrvmmnMXLmTm8WPHulpPHD9+x113nTl1erlazmaz5Wq1ubGxtblp+9777lssFn3fZ+a58+ePbe/UWo6Wy8Viceszbrvtjttf8eVeLu1hGPquU8R8Njt54sTd996bmXfceefLvORLSuKFgwoAkqZp+tvH/QN2KUXSxmLjb/7u72azWSnl7x73DweHh1ubmxsbG8vl8uSJk4eHh3/3uMe31n79t38HeIs3eePlannfU87edc897/Q2b/OEJz9lb3//4sWLXdfN57ONxcbh0eG9Z8/eefddr/zyL/+QBz1omqaj5fIP/+RPNjc2IsrW5uZtd9xx+tTJV3/lV/77xz/+8PDoUY94xJ/+xV8ul8uu63yTn/y0p85ms1MnTz7hSU/e29+/9syZ/cODRz7sYS/9ki95cXf3z//6r3e2t0+fPHXv2fts11rvuvvura2txXx+4viJE8dPPP5JT6q13nj99X/9d39/7vz5RzzsoS/x2Bf7lV//jZMnT3S1KxHNFi8UVO5n+8E33zzrZ2ObLl261Fp7yIMfvLmxYXv30t7h4eHJE8ePHzu2e2kPKKVsbW5Mre1sb7ds89lsZ3v74ODg9MmTpZTrrjkToeuuOXNpf/+a02fm89mFCxdbpqTTp06N0wQMw7BYLE4cP9F33c033diynTpxYj6fb25sZPr4sWM3XHfdweHBtddcc+78+e2trZMnTpw7f2E+n+3sbF975szupUvnL1582q233nj99SeOH1/M5/sH+6E4WB7ectNNfdd1XXfi+PFTJ06ev3hhGIaDw8NhGG68/vrZrL/2mmtms/6G66+76YYbhnFcD0Pf97Z5IUCH+xe4nyRAEjBNU9/3rTWgljKMYynFdkRM0xQRtoFa6zAMpRRJ2AbbERERmdlaK6XYlgS01iIiM23XWjOzlGIbsJ2ZpZTMtB0RETFOUy0lMyNiHMe/+tu/ffhDHnr69KlxHCNitV4fHS1Pnzo5jmPf95m5Xq/Pnj//oJtuSnscx1prZkoqpYzjaHs2m43jaLuUYtu2pMyUxAsHOty/wGUGAZCZSCFlpiTAdkTYti0JkATYBiTZ5jnZlsRlEdFakyQJsC3JNpfZBiLCNg8gCbAdEbYl1VJa5jRNEWFbUkS01iTZliQpIqZp4n6SbNuOCNs2EpIyU5Ik25Js8wCSeC5QuV+JGMcxIuazGdAy+77PTEm2Adu11nEcaynjOCL1fT+OoyTAdldrZiIBkrCRWmvDMG5ubkzTNE2TpNlslpm2IyIzaymGYRhmfd8yI8I2MI5j33WG9TB0pYzTVCIkzWazaZpmfT+1JikkSZnZMjOz1lpKAUop4zja7rpOUmut67pxHEspmdn3PTBNUyklM0spzkTCtj21xnMBHe5f4LII/fwv/+ojHvbQ06dO7R8cnDh+/NLeXq31rrvvefAtN9ue9f19587dcP31Z8+du/H66yPi7x/3+JbtsY961NTaNE1PfupTH/rgB4/jGBHr9VBrRUhar9bp3NnePnniRGbefscdm5ubpZTDo6Otzc1z589vbW2dP39+mtrDH/qQS3t7pRRJ11933X1nzz7pKU9ZzBfXX3fd2fPnMvPYzk7fdSdPnLjjrrtOHj+xHoe+69br9cbGxs72tqS77r771ttuf9QjHr5ar2++4Ya/e9zjT544Dhzb2bnjrrtvvP76C7sXd7a2Ll66ZPu6a665uLu7sbGxt79fIu6+976bb7yhlHL61KnM5IFAh/sXuCwz/+CP/6Tr6jhN89n8wu7FvutAEjvb20948pNvvuHGUsrZ8+cODg7f4HVf5+Dg4PY777x0ae+hD3lwa+1hD3nIH/zJnyyXq1pia2trMZ8vFouLF3cv7O6eOH68tWlne/s1XvVVL168+Ad/8idd1wGzfnZxd7fv+1rrwcHB6VMn7zt37tozZ55x+x3HdnZe+zVe/U//4i8ODg9f+eVf/i//5m/39vfms/lNN97w1Kc/vavdNWdO33fu3P7+/jVnzhwtlw+++ZZXeIWXv/OOO/72H/5hHMeLu7u11rd44zf+07/4y/V6PZ/P9w/2j+0cu/OuuxBbm5ul1Ai1lhcuXji2c2w+n03TVGsFSimv/9qvtVyuJPEsULlfKeWWm28CNjc2nv6MZ1x35pprzpxeD8PB4eH+/sHNN964tbl12x133HTDDavV+tj2dom44667HvqQB+/v729tbm1vbd1w7XVHy+V8Pjt54kTXdSVib3//umuv2dzYvOb0qUv7+49/4hNvvvHGRzz0YQqdO3/Bzkc87KHz2cxwz733ZeaDbr755htvAra2thbz+c7Wdmt5bGfn5htvOH9xccN11509d35ne/vUiZNnz5+b9f2pW245ferU/sHhweHBU5785Ouvu24xX2wsFieOHwe6rrv2mjN7+/uStre3nnbrrTdcf31EnDh+fDbrI+Lw8GhjsThx4vixnZ31en20XNq+dGnvcU940sMe8mDbPAvocP8C94sI2xExTVOtNTMlAZnZ9/2dd9111z33vMxLvqRt2yViaq3rutaaJGcqAsjMEpG2JNsRAdgex/HS3t6ZU6fSjgjbmVlLaZmSJI3j2Pd9ZgKZGZJ5poiYpqmUYltSZv713/7dzTfdeP21166HoZQyjOP+/v6Z06enaYqIiBjHUVIpJTNLxLkLF5526zNe5iVfIiIkAbZLKa01QJLAdsuUdOHixdOnTmUmzwI63L/A/TKzlJKZXFZKaa3ZlmS71lpKGYaBy2xHhG3bkgADtiTAgF1rba3ZLqXYrrVO05SZSNiSJElqrUkqpYzTFBL3kwRkZinFdmZGhG3Dxnw+jOM0TZK4rESkLWiZgCTAtiRJEVFrHYYBAAwC25K4zLYkLqulTK3xQKDD/Qvcb9b3ewcH89ms7/txHA8ODzc3Nrquy0xJbZqiFCAzJZWIcZokdbW2TEnYirA9jmPXdcDupUvHdnZKxMVLl7Y2N8dxAm9ubLTWImJqbbVet2k6cfz4ar1eLpfHjx1brdeS+r6fpmkcxxLR9/2l/f2NxaLruvV6XUoppexeurS1uRmSIrAlKeLw6EiwsVikDUjCTnuaJtuAJF4EtiXxQKDD/QtcJulpt976pKc89aEPftDe/v7Lv8zL/P3jHx+S4fTJk/fce9/NN9142x13njp5Ymtz8+DwcLVaXXvNNSXib/7+7x/2kIecPX9+c2Pz0t6ljcXiMY961N/83d/PZv1d99zzkAc9aP/gYGOxsP20W2+97pprW7ad7Z3dS7vAxd1LD3vIg/f29hHTOJVSHvbQh3Rd9w+Pf/w0TcM4vs6rv/rf/P3f337nnQ9+0IMODg5e/qVf+vY779w/PLx4cTezPfbRj77tjjuOHzt2731nZ7NZhO65995HP/KRe3t7tdZhHDcWi6m1xzzyka01/j2gfNqnfhIQEcvV6nFPeELf9U948pMv7e0/+EG3XLh48Rm33z6bzf/m7//uoQ958MXd3b993D9c2ts7Oloul6u//tu/e9QjHn7x0qX9g4OnP+O2rtbb77gjM4dxPHHs2G133Hlhd/fsuXMlyp133X20XN579r7jOztPfPJT9vcP9g/2F/PFufPnt7e3b7/jzmfcfrudtdZn3H77yRMnDg4O/vjP/ryr3elTJ7c2Nx//pCeVUp705CcfHB495MEP/vvHPf70qZNHy2Up5Rm333b7nXdduHhxPptN03TvfWePHdt56tOfPutnt99x54WLF6ep3XXPPQ97yEMign8P0OH+BcB2LeUpT3/60dHy5IkTl/YuPeZRj7pw8eL+wcHh0dG1Z87cfe+9x48dO3f+/HXXXnvvffcdP3aslLKzvV1LWa5WwH1nz87n8xPHj4/TdGxnZ3//oJS48667b7zh+tvuuOP0yZNpnz13/rprr7l06dKpkye7rlut1wcHBzvb2xd2d7e3tvquv/fsfdddc83JEyf+4QlPuO6aa4+WRw++5ZYnPPnJ2XJ7a+twefRij3rUnXffffb8+WvPnOn7/tz584dHRydPnNhYLIDlcnn2/PkTx4+fOnFi/+Dg8OhoZ3v73rNnX/wxj+HfCXS4f4H7dbVGRMuUNI5jKSUiBC2zRBhCapmlRGaCWmu2JYUUEYbMBDIzImzXUqbWaq2ZKVBEtqaIzLQdEZJsS3KmoUS0zMzsuq61Jmmapr7rkJyJNI5jrTUisrW0IyKktG3bllRKyczWWikFcGatdT0M/DuBDvcvcD9J0zRJAiQBtiVFRMvEti3JIJAEREREjONoEACSAEOJaK0hCSJimqZSSkRMrZWIzLTNZQbxTBEBZCaXSbLN/STZNoQkqe/7aZps246IUso0TaUUSev1UEqAp6mVUiTZts39JPGiAx3uX+Ay20fL5Yljx9IWpI1dSlkPw9FyubmxUWsNCQDSHsexlHJweLhcLm+4/vpsDUlSmyaDpIODg+3tbdvjOK7W61MnTpy7cGEYhlMnT+7v729ubs5ms8y0HRG2JY3jOE1TKUVSRACllGmaJEWEbUmApGmapml66tOffvrU6fl8Vks5Wi4v7e2dPnVqb28/M2++6cbdS5dqqadOnjhaLjOz1lpLGaep1pqZ0zRJ4kUEFQAkjdP0uCc+cXNjY9b3oHRuLhbnLlw4f+HCsZ2dYzs7x3Z27r73Xttbm1vL1fIlHvvYWsp9Z88+/RnPGIbhtjvuuP666+66557HPPKRGxsbf/5Xf3V4ePhyL/3SwzCcPHHit37v9x79iEfYvuvue2wfO7bTdd3R0VGt3XXXXnPHnXedPHHi0t4l2+M4ve5rvsb5ixcvXbpUa3fnXXedOXN6uVxmJnBweHhsZ+fc+fOv8oqv+A9PeELXdWfPnVutVw950IP+5M//fJym06dOXbhw8SEPelCt9enPeMZ8NnvK0552Yffitddc8+hHPOL3//zPH/3whz/5aU9/6IMfdPrUqWmaJPGigMr9aikXLlwYh3E9DMvV8uVf+qWf8OQn337nnbfceNPU2l133/Pkpz5tGAaFzpw+fd/Zsw990IN2trcv7u7efc89rbXjx4//0Z/+Wct2y403XtrbG8dxHKcnPPnJbWqv8LIvM+tnd99773q9vnBx95ozp1er9dlz57a3t3MY/uhP/1SKi7sXrzlz5r5z52687vpxmlprT3rqU0uU1Xp19vw5SXfefc+jHv6w1Xr9+Cc+aT6fHS2X4zieOXU6s52/cOHe++6T1HXdcrmK0Injx1prwG133Hlp79LxY8e2NjfHcbzjzruy5dOf8QzghuuvH8dREi8K0OH+BS7LzIu7uxd3dxfzuRRHq2UtZRjG7a2tqU0729vL1arv+ou7F08cP37f2XPjNL7Yox995113Hy6Putr9xV//9Su87MtM03TLzTfXUv7+8Y8/c+rU0XIZEY942MP+7nGPW8znJeJouTx+7Nh6PWxsLLquy3Rr0+6lSydPnOi6bhzHcxcuAC/52Mf+/eMfHxHz2Wy5WrWWi8X83vvO3nXPPa/wsi9zdHT0qEc84vDw8G//4R8e8uAHD8Nw331nH/qQBz/j9ttPHj+xublx5vRpSU988pNB4OPHjg3DcN211z7hSU/aWCwu7e/feP31Z06fnqZJEi8K0OH+Be5XIkoptg2SAEHLBLAVkZmllMwspRweHnZdV2utte5eurS3t3/dtdfUWodhAGazWbamCOz1MMxns7QBSZkpyU4bQJKkzLQdEZk5DENXa9d1SJkZEbYj4t777gOuOXPGmeM0RUTf99M0AaWUaRxLKYbMnKZJEpd1XZeZQGut7zqE0NTaNE2SeBGBDvcvcL+u68ZxtA1IAmzXWoHWmu1SSmsNiIhSyjRNQGZ2XSdpnCbsiCilDMMgySCIiMyUZNsgnpukzIyItEsEl2UmYBDUWqdp6rrO9jiOEQFIaq2VUlqmoJRiOzMlcZmkEtEyM1OSbUm2DQJJvOggAMB2rfUv/+Zvzp0/X2uNiHGabB8tl0+79dZbn/EM26WUpz796a21WuvupUtPffrTbQO11tVq1aZJkJnL5fL2O+/suq6UUiIkHRweHhwetpZASKWUiJAkKSIkjePY933aXa3DMEhqrUmKiFpKRDzj9tszc5qmzKy1rtbriFgPQ991wzDUUiTtXrp0aW8PyExJktbr9bkLF+65975pmqZpqrWO4xQRAkn8q0AFAEnDMDz16U/vav27f3jczs72xd3dvu+P7xy7sHsRePozblNoMV8c29m56fjxc095yh133XXvffft7e8fP3b8wsWLr/KKr7B/cPCkpzxlMV+cO3/+tjvuOLa901o7e/7ctWfOHB4tW2ur9eohD3rQer2+7Y47u1pf9zVfI+2//tu/u7S/1/f9/v7Bzvb2elhvbmxmtr39g82NxSu/wiv8+V/91bnz55/+jGccHBy+weu89tOe8YzVatX3/aW9vVrK3t7+mTOn9/b3Q3G0PFrMFydPnFgs5nfeffepEyeecfsdx3a277z7rsyUdOHixRd/zGMe8qAHHS2XEcGLDoL7lVIe8bCHHRwe3nP2vqOj5fXXXnt859iFixdLKV3XXbh40bakvf395eHhrO/b1O47dy4zW2s3XHft/sHBarVqrR0cHj7sIQ/e2dp66tOfLlFKufPuu/f29zJzuVzefscdz7j99r39fcTZ8+dba8M4Zvquu++xc5qmG6+//sLFC2dOn97f31fEOI7L1WpjY/PCxYt2Avv7+/PZbH9/X3Dx4u7NN924XK72Dw4Q89nsmjOnj46OnvDkJ+/vH/R9f+01ZzJ9cXdX0sXd3Qfdcsu9Z8/u7e+XUvhXAR3uX+B+6/V6GMf1er29tQUAmTYuEa219TAsV6thGI7tHDt+bGe5XNZa9w8Odra3p9Y2Fovb7rjj4sXdxz76Ua01SX/993//Ui/+4oeHR7WWrc3N2++8c29//5abbpJUShmG4dz58y/26Ec/7olPevyTnvi6r/ma6/V6a3MTmKZpsVjs7e+HdPLkyfvOnp2m6djOsb39vWuvuWa5Wp09d+7M6dPnz58/c/p0y7S9v3+wvbV5tFwe29lZrlar1Wp7a+v8xYsnjh1bD8PGYnH+wsXTp05GKffcc2+UuOWmm4ZhkMSLCHS4f4H7SQpJEZmJbZAEYCNJwjbYBiTZjojM5DLbXde11mzbzsxaSkQYMrPWOo1jqdW2bUm2M7O1BvRdp4hszSApMyNC0jiOXdeFNLVWShmnKaSu1nGaaq3TNAGSSkTLjIjWWkgRMbVWa22tSWqtdV03TRMgyXZmSuJFBzrcv8D9BEi2bUsCJNkGJNkGJNmWJAkIqWUCmSkJiAhJ0zSVCINt2xFhG5CUmRGRmZJKKa01SUBmSgopbaCUkpmSbNu2LQmwHRG2gVKKbdsts0RkZkTYtl1Kaa1JklRLGcZRkm1JEWHbNi86CO4naWptPQyttYiwnZnTNF3a21ut18MwXLh4cbVaDcMgKTMvXLz4jNtvf8Ydd0zTdOfdd0uKCGD/4OC+s2drreM0rdbre+67r+u69Xq9e+nSej2sh6HWslqvSymttSc86UklAlgPQ0TYvvfs2eVqFRG33X77crk8d/784dERUGsdxxEopRwdHWWm7fMXLhweHt539my2NowjME1Ta62Wcu99Z4dhiIiLu7uPe+KTMm27lJKZT37q09brtSRedFC5X2b+4Z/86Wq9Xizmp06c2NraesrTnlZr3dnePlouj23vgM+dv1C7es3p07fdcees70spZ8+fO3Pq1F333PM6r/Ea4zj+2V/+laQbrr/u2M7OH/zxn0SJw8Oju+6+++DwsO+6vu9bZmttb2//ZV7qJWd9f/7ixcc98Ymttf2Dg9V6Petni8U8FOcunG+tLRYLAHNweHjm9KlLe3uv91qv9aSnPGX/4OC6a6553BOfZHvW9weHBydPnrQ9juNiPgetVqvNzY31eri0d2lzc3MYhrvvuWcYx+PHdpA25vOLu7sPuuWW5XIpiRcFBABImqZpY2Nxw3XXbW1unj13/klPeUpE3Hj99RcuXjw6Our7bhjHvf39kO64667dS7ur9Qp87ZlrjpbLUJRSDo+OVuv16dOntre2VqvV6dOnsmUpMYyj7b39g6OjJXBwePigm28+PDzM9LHtnYu7u5f294+Wy3vuve/YsZ2NxeLOu+/avXTJJiJaa0fLZWttNpvtXrp0cHi4XK5mfX/u/IVzF85vbm5ImlrLlqG4dGlvHKflatn3/amTJ8+dP2/T1TqfzfcO9oFZPzt3/vx6GA6Pji7t7ZUIXkSgw/0LXGZ7GEeBpGmaDo+Odra3JWWmIs6dP3/tmTN//7jHnz596tprrtnd3d3a2pLUWsNerYcTx49FxLkLF7a3ttbr9ebGRma21sZpurS39xd//dev+aqvurW1df78+dOnTk2tlVJCuuOuu66/7rqQ9g8OSsR8Ppd0tFxmZlfrwdHR6ZMnM/Pg8HBzY2Pv4OD0yZMt876zZ4/v7Bwtl5ubm621cRw3Nzb+4I//5NixnUc+/OHjOG5vb7fWQtrb39/a2nKmpKPlcj6fL5fL1Wo1TtPGYnH9tdcO4yiJfxHocP8C95ME2JZUax3HUZLAUEuZWgNqKVNrpZTMtC3JdikxTc1233XjNEVEZgKSSimr9Tqkrutaa7XWaZok2bZda22tAaUU27ZtR4Qk2yVinCaglpK2pNYa0HVda62UMk0TEBGZOQzDrO+jlMy0DQiilGmaJAERYVsSl9mepqmUYhuwzWWSeF4QPKcSUUrpal2v133fSzJIQrJdShmnKTOnabJda7Vda52mVmvtum49DLO+ty2plKi1TtO0mM9rKeM41lrBpRRJtdZZ39uutdZaM1NSZpZSIiIzI2Jqretq13WZ2VqLiIiQNE1TZq5WK0m1Vi7b2toaW5umKSIyE2iZ0zT1XQfUWjPTdmZmZmuttTafzVprXFZr7WqdzWaSeF6gw/0LgKRxHJ/69Kdfd+21rbU77757c2Pj0t7eox/5yIgI6XFPeOI115yZz2Zbm5sbGxt33X33ar2ez+Y721vnL1w8c/rU3v6+7Ut7eweHh496xCMkYf/DE55wy003RcTO9vbGYvHUW29trZ08caKWslythmHc2tpcr9cRMZ/PV6vVtWfOXNjdPVoud7a29g8Otre3Dw4ODo+Ojo6Orr3mmmmadnZ2QgLm8/lf/93f3XTDDeM49n2/ubm5e+lSLaVldrWePnXq4PDwabfe+uhHPvLue+659syZs+fPnz55spRyz733Rejg8PCaM2dCunjpUmvtsY9+9D333ttau+Ouu178MY8ppdjmgaDyAOcvXrzn3vvOX7xw6uTJS3t7e3t7EVFKufueezYWi2f85e1HR8tXeNmXeYmXeKlpan/9d3930w033Hf27Gw2e9JTnzKbzY6OluBpahHRWt539uxiMf/jP//z/YODV3vFV3r0Y1788PDwtjvuPDw63NrcilCmay22Nzc29vb357P56VOn/upv//bmG2986tOeXmq5cPHizvb2pUt7p06dvPcf/qGUMo7jDddfny0f/rCHjuP05Kc+bXfv0qzvga3NzcOjo1rq4dHRm7/RG/7xn/3ZpUt7d91998Me8pC/+ft/yGx/+/f/8IiHPfSOu+5arVb7B4c3XHft7t7eox/xyMOjw8PDw1/+9V/f3tqKUl7yxV7MNs8FKveLiM3Fxrnl+WvPXLOzs+308WPHxnG8eHH3zKnTh8uj6665dr1eT9N0z913bm1uXHvmmsw8eeLkjTdcf/Hixd1Le0dHRw++5ZYIrYdhb2//9KmTy9XqumuuObazs1qv7rv3zhuuv37/4GA+m504cXyxWHS1HhwcPvXpTz9x/PgN111/79mzwPbW1noYtre2lqvlzTfeeOrkyXvvu09S33XXX3vduQvn773vvtMnT81ns2EYrjlz+rprr2mtXbh4UdKJ48f7vl+ulsM4njp5su/6Yzvbh0dHO9vbFy5evPnGG+64667FfHH82LGuu3DD9de3zPMXLuxsb3ddd/rUqeuuvTZbDsMwm81s80Cgw/0L3C8ipmkqpWRmSGkDtrtal6vVxsbGNE27ly5FxInjx4HlcrlYLFprtZS/+ru/67vuJR772NV6DUgqpazX68ViMU3Txd3druuO7ey01jJTUkQArbXb7rjzwbfcbBsopWTmMI6zvh/GcTGbTa1Jaq3VWjOzlDIMQyklIi5cvLizvV1KASSt1uuNxWIYBkmlFGAYhtlsdnh0tLlYLFerzY2N1Xpday2lrNfriACWy6Wk7e3taZoyMyIyMyJ4LqDD/QvczzYStiTbEWGbyyS11iIiJKTWmiRJrTVJQK1VME6TJEmZCUREZiKVCKC1JgkwCADbXa3jNEkCbEsCbEdEa00SIMk2YLuUYjvtrtbWmm1JaddSMhMAbEuKiNZaRLTMEtFaiwjbtmstmbZdSgFaa5Ik2eb5Ah3uX+B+tdaIyMzMrLUul8uu6yJiHMdaa0RM01RLGadJYJBUS2mZtdZxHGutrbXMzMxZ32fm1JqkrutsT9MUEbZLCczUGlBKsS0JaK1FBHaUYnuapq7rsDMTKSIAwThNkmqt0zRJsg10ta7Wa0mSaimG1lpm1lojAsjMUoptsBSr1arrulrrer2WxL8IdLh/gcsknT13brVeb25szGazvb39CAFd1505dWr/8PDv/uFxD33wgzPb9ddd94zbbr/37NmHPOgWm8V8dmF39/SpU/edPXvzjTc+8clPvu7aa4EScWxnx3DX3ff0fXf2/Pkbr7tuNpsdHB5KOnH8+BOe/OTrrrlGEgaxvbW1HoYSsbe/HxHnL148c+qU7Y3FwnBwcCCpZV5z+vQwjhd3d4/v7GRmrTXto6OjZ9x+e9/3G4vFsZ0d4Pprr/27xz3uvrPnHv3IRwCz2ezo6EiKKBHSMI6ZCVx/7bW8KECH+xcASdM0/dbv/77TtdYIzWezw6NlhGxe9zVf4w/+5E/W62H30qXVevUmr//6d9977/bWltAf/umfHNs5trGxWK/Xfd+v18OlvUvHjx07d/78Dddd/4av97q7u7t/8Md/MpvPLl3au+bM6cV8cdudd2xvbr3Wq7/ab/7u795z332nT540bG9uveorveJv/e7v9bO+tXbvffedOnnyvrPn5vPZTTfcANxz730PftAtT3jSk97sDd/w/IWLv/dHf3jm9Jkzp07ubG+XUh7/pCedOH5itV4dHBzu7e8d2zn2xq/3un/5t3+7Wq339vcPDg/m8/l111xzeHR0+tSpv/uHf7jh+utXq7XEy7zkS15/7bWr9VoSLwRU7mf7QTfdNJvNxnHavXTJzmtOn47QfWfPATvb27t56eYbbzw8Otza3NyYL06dOHHv2bObm5tnTp++6Ybrb7vjjptvvPHes2e7Wm+4/rqu606dPPnkpzz1+uuuPVweHTu2c+KWW5ar5cXdi7fcdNP5Cxdaa9ecOSPp9KlTti9cvDibz0+cOF5rPTg4OLZz7Mzp05JOnzq1Xq8v7e09/KEPue7aa2+97bZxHIdh2NraOnPq1D333Xf61Kmu7x/76Effe99989ns+LFj5y/MTx4/0fW9pGM7233fbW5sHD9+7Myp0+M4Hi2Ptre2tzY3Tx4/cfLE8dvuuGOxWGxubGQmLwTocP8C95MESNhM0zSbzYZhKBGKsD1N03w+X63XJUKSbUmZWWtpLSMiM2utwziWCEmr1Wr/4ODkiRO333nng26+uZQyTRNgOyKAiMjMzAQiwnYpRWKamqRSSmstMyPCdkRM0ySplGI7M2ut4zSVCNsRMU2TpL7rptam1vqu29vfL6VsbmyM41hK4X62SymZWSLuPXt2a3NzsVhkJi8E6HD/AveT1ForpYTUMiXZzkxAEmBbEiCJ+2UmoAjstLtSDLYlSWqt1VqnaQJKKVNrIdkGbEsCJNkGbAMRYdtGApCUdkilFGe2TNsRYZvLbEuSJCkzbXe1jtNUSgEyk8sk2bYdEZkpyXbXdZmZmZIkZSYgiecCOty/wGW2x2na2d6+dOnSar0+ffLk/uHhfDabz+eZ2VorpdgZUaZpaq1xv67rJI3jCMz6/uDwEKi1RkQpBRtQRGvt4PDw+LFj0zSVUqZpqqWkXUq0liGlHZJhHMdaiqGWMrWptZzPZwcHh0fL5WK+6Ptu1ver9Toiaim2o5RhGErE0WrV1bqYzy/s7h7b3lZEa812rbW1Nk1TrbXWOk1jRMFWxDAMQFfr1No0TbPZLDMzk+cCOty/AAjS/rXf+q2HP/ShtdRn3HF7rXUxn29ubB4tjyLixuuvv+Ouu06dPHnh4kXB/sHB67zma164ePGP/+zPHvaQhwzDePc99zzolpunaTo8PLr2mjMPuuWWe++77/Y77zx+7NjRcpmZs35m53q9PnP69L1nz95844133nXXyRMn7rz77ptvvPH8xYvHd3Yu7e8vZvMbbrj+/IULJeKee++95sw1115z5vFPfNI4jZf29k4cP953/Wq9evHHPGb/4OCOO+/a2d7a298/Wi7n8/lqvd7Z3s7MEhFRhnG45vTpWutd99yzs739sIc85PY77njG7bc/4mEPu+feezc3Nw8OD59x222v+aqvNrXpz/7yr04cP/6Ihz10GIYzp09P0ySJZ4HKFVKbplLK3ffcO4zj+QsXThw/XqLce9+tm5sbEfG7f/hHrU1333PvqZMnzl+8eM3p05lZSgHdfuedpZT9g/2Dw8O/f9zjF4v59dddG6U88clPPnH8+Nlz546Wy652+wd39X2/f3Cwt79/7sKFg4ODu+65B3jQzbf86V/85Zkzp2d9/0d/+qcPedCDHv7Qh/zm3/3d1ubWar3ePzw8dmznnnvv3dzcmM9md9x558Hh0TRND3nQg+49e/bP//qvz5w6de01Zy7t7R0cHp47f2GxmN94/fXDMDzxyU85dfLE+QsXutrddc89r/uarxERd91zz9Fy+Vd/+3cHBwf7Bwcv/RIvvr21VWv5hyc8ftZ3d9199zSNfd/fcN114zhK4llAh/sXuEzS3/7DP/RdV2vd298/c+rUar1eLBbz2Swzx3G6uLt78uSJ+Wy+Hta7u7vAiz/2sU9+6lOnaWqtHT9+/OLu7nK5OnPq1MXd3Uc87KHT1J72jFvPnD59/Nixp9/6jMVisbW5efb8uc2NjeVqFRFHR0c729unTp5cr4ez58+dPH58b39/a3PrkQ9/2BOf8pTFYnF4cLgehoc/9CEXd3eHcbzv7Nnrr732aLk8ODx8yRd7sdtuv/2e++677tprt7e29vb3W2uHR0c7W1s7OzvjOJ6/cGE+m5da7rn3vltuvuni7u6Dbr756c94xr333vfoRz7irnvu3dxY3HLzzefOnz954sR6vX7q059+4w033H3PPTfecMNNN9wwjqMkngV0uH+B+/VdZwAkZabAYBs7IoC0bZeIlnm0XC7m81KKJMC2JAHSwcFBrbXruoiwnZmlFLDTkpBslwjbhtZaREiyLSkzp2nqu862oUSM0xQRgohIWxL2OE211ojIzMyMCECSnZmWFBGZKSkibO8fHMxns+VyOZ/PZ7MZNjC1FhGttYgopWRmiWitjdMkiQcCHe5f4H62bQMG8WyllKk1Qa21tQZIiojMtM3ziAggM7lCwuZFJsk295Nkm+ckyTYvslJKZkZEZtrmMkm2Jdk2iGeSxHMBHe5f4H62+76TAtsAOFMRly7tnThxfJqmc+fPnzxxwjb/30AFAEnrYfjdP/jDhz3kIYdHh4v5fJymkPq+X6/XtXZPfMqTjx87duHixY3FYmNjo7XG/ytQucIuEYv5/K//7m8jYnNz84Zrr11P0/kLF5/+jFuvOXOm73rbmbm3vz+fz/n/BioAJHRdd8vNN1137bWZefLE8a52iHvuve/Yzs7O9vZiMbd9x513gY6OjjY3NzOT/z9Ah/sXuF+tVZJt27YFUYokZ6Zte5qmrusy0zb/r0DlAcZx5Lm0xgOUUqZpksT/N1B5AEm8ULYl8f8QBFe9KCB4ANuAbS6zzQPYtg3YBmzbNgC2bXOZbduAbZ4fg21J3M82YJsHsA3YBmwDgG3btvkvBpUHKKVkZlfr1FpIpdapNUlcJklSa62UkpmlFMA2EBG2p2mKiK7rbGemIG1JQGZK4rKQImK9Xvd9P02T7b7vp2mqpaQNALa7rmutlVIys5SSmZnZdZ2kbC1tQJJtQdr8p4LK/TLzabfeeu0119x1zz2PecQjDpfL/f39Y8eOOTMz026trYfh1IkTl/b2NhaL5XKJ1HWd7eVyOZ/PbZ+/cKGUUkvZ2dnJzK7rpmkKaT6fr1arxWLxV3/7t6E4Wi53trclnb9w4XVf6zUf/8QnXrh48SVf/MWxSynDON5z772X9vZuvvHGxWIx6/vDo6ONjY35bHbn3XePw3jq5IlSa0S0aYoI213XSeI/D1TuFxFPeNKTb73ttnGclsvl7qVLNl0t9507t7FYzOfz+Xx+dHR04tjxcxcuDMP6zOnTXe2ecfvtx48fWy6Xi8ViHMej5bJE2dra7Lv+nvvuO3ni+DAM11933Us89rGX9vc3NjZuvvHGW2+7bT6f7R3sbywW4zTtHxysVquz58//8q//+sZi8ZAHPejCxYvL5Wps07nzF/b396+/7trzFy++xqu8ys6xE2fPnTs8PLz1ttsu7e098uEPb9luv+OOM6dPv9LLv/xqtZLEfxIIABC0zJtvuvHFHvOYhz/0oXffc+/xY8fW69VsNtvc2NjZ3rnphhs2F4txHMdpGscxotx8443L9cr45PHjD3/oQ6+75hpJx3eOPeTBD5r1swc/6JaNxeLkiRM72zt7e3sC7FrKn/7lX9ZST508uVyutjY37VytVtdfd92N118/n81uuP76u++59+DwaGNj49j29ubmxubmxpnTp2d9//RnPOPi+bM33XCD4fDocGtr876z913c3d3a3Kq1Zib/qUCH+xe4n+1SytFy+Yzbb7/x+uvvvueexzzqUcMwjOO4tbV56zNul/SgW27ePzjouy4ixnEEuq7LTEkRsVyuZrPZMKwXi8UwDEBmllJKKcMw9H2/XC4BSVFKLWW1Xu9sba3Hsat1uVzOZrNhGCKi1pqZtdaj5bKr1fbFS5f6rjt54sRyuUx7PpsNw2CY9X1mSpLEv4ZtSbyIQIf7F7ifbUmSQmqZtdZhGCICsB0RETGOYyklM4FSCnbLlGQbiIjMlGRbkiSglDJNk6SIAEICptZsS2qZAptSwrYk29yvlDJNU0RERGZmpiRJmRmSImwDmckLYFsSAEiKCNuSJLXWJHGZbV4I0OH+BS6zPev7qbXVajWbzWqtmVlrnaap1tpak2RbEiAwrFarUkrfdWkDtkNKu9Y6TVMpZRxHwcVLl3a2t2utF3d3tzY3h2GcpnF7ezsz+77PzIgAWmtAKcX2OI4RkZmZubGxMU1Ta62r1TaSJIHt1XrdMkNaLBZcJikzSynjONZap2nqu26apiiltZaZR8tlV2vaq9Xq2M7OMI6SBEi1hM3zBxUAbJdSbr/rric9+Sk7O9s3XHfdar1ezOfnLly47ppr7r7nnmuvuebg8LCWmk5Byzx3/nzf9cePHytRai1Ta7O+X65Wmxsbd99z7403XH/Pvfc98uEPu+e++/7+8Y9/6IMffM3p03/x1399+tSpZ9x2+6Mf+cjjx48DT33603e2tw+Pjpw+fvwYcGlvT9JNN9wQEX/9d3936uTJUspqtbrt9jte/LGPyfQ0Ta21dN5739mtzc2Dw8MIXXfttbZLKavVantr+8LFCzffeOPd99533TXX3Hr7bddfe+3upb0Tx48d29n5rd/7veuuueb8hYtnTp961Vd+5b/64z/e29t/8INuefAtt7TWJPF8QQWAErFcLp/0lKcsV8uXeokXv+e++/78r/7qxPHjp0+eesKTnnTj9dc/5Y//5Jozp+++915ga3Nzc2Nzb3//5Inj5552YZrGzY2Ng8PDnZ2dpz7t6TfdeEPXdX//+McP43Di+PG9/f0br79htVpduLh7/bXXXtrbf9AtN99z772PeNhDI+LJT31qa21nZ+foaFlK7Gxvnzt/vpQ6jePu3t4TnvTkra3NE8eO33jD9S3ziU95yjiMd997z7XXXNP3/eHhkZ17+weZeXh4VGq5uLt7+tSpJz7lKTtb2xcuXrzz7rtns9n11173u3/4hwcHh4951CNf4rGPHYbh0qW9Bz/oljvvumt3d/fFHv3ov/rbv739zjtPHD9+8vjxYRwl8bygfNqnfhJg6Lru4PAwMx/+0Ide3N3t+z4zu64eP3bs0t7+Qx/y4AfdfPN8NtvZ3nnQLbecPnlqPpt1XT1z+tQ0TdecOZOZXa3Hjx/f2d5+xm23PeJhDz1+7PgtN9+0tbX11FufvrW5WWo5f+HCtddcEwo79w8Orj1z5vDwaDabL+bznZ3tzc3No6PlzTfdOAzDiz3mMSdPnDhaLh/2kAcLbN9y043bW1vL5er4sZ2HPOhB15w+3c/6vuuPHz92+uTJvutLqQ998INPnTixsVjccvNNy+Vq1vc3XH/9bbffcfrUqeuvvfbG66/f2to6ODw6fepUKcX2LTfdOIzjfD5fr9dHR0fL9frUiROtNUk8F9Dh/gUukxQRklprEVFrvefee48fO7Zar22fOH58HMeIyExJtiPCtu2IyMwSYSil3HPvvfedPfuYRz1KUmstpNp1BwcHLfPYzk5rzbbtvb29Yzs7hq7WlglIArK1UsrUmiAi0pZkW4AUksG2bUmAJMA2IEg7IjKzREg6Wq2e+KQnP+whD97Z2RmGQVJEALYltdaAElFrPTg8HMZxe2srM3leoMP9C9wvMwFJtm3P5/NxHIGIGMdREpdFBNAyQ7LNAxj6rouIYRi4zDZQSrGdmYAk27XWaZokpS2QBNgupbTWJEnKTEmAbUmAARuICEmZCQC2gYgAWmsRkbYgIjYWi9V6PU1TRJRSpmmqtbbWIkJSa802EBGSMpPnC3S4f4H71VolQEBEnL9wYWOx6Pt+HMfZbAZkZok4PDqqtc5ms2maailTaxGBDUhaDUPfdYBt7FrrOE22+65rmaWUaZpKKdM01Vozs0RIGsYxM/u+Pzw83NjYEKyHYTabDcMgadb3q/W6lGI7IiJitVqth2F7czPt1tp8NsvM9TDY3tzcHMexq3UYR9tnz507dfJk13XTNO3vH2xtbe5eunRsZ2e1WrdsO9vbtvkXQQUA27XW226/Hcj0OI1d1912xx2bGxvL5fLVX+VVHv/EJ0VoPpun88677nr4Qx96/sLF06dOnjt/4fSpk/sHB12thnEcH/HQhz75aU/r+35rY9P43vvuu/aaazYWi8c/6UlnTp265777brz++vMXLlx37bV333PPzvbOpb1LmbmxsfHUpz/94Q996O6lS8d2djLz4Q996B133vkPj3/CIx/+sKPl8uEPfei58+e7rtvf35+mdnh0OIzjDddd/w9PePwtN90062f3nr0vM2++8can3XrrqZMn77rnngfdfPPm5ubTbr11Pp/XUi5euvTHf/ZnL/box6xWq6cMT7/v7NlHPeIRJ48fH8ZREi8cVACQlJlPeupT77z77gfffMvW1ube3v59587ubG9vbGzYvvW22+bz2e7u7vHjx++6++5zFy7cfMONd91zz97e3lNvffrmYuMhD37Qb//+758+efKhD37w0269dZrayRMn1sP6vrNnH/PIR/7JX/zlE5/85DOnT29sLC7t7e3vHzzt1mecv3jh+M6x2ayPKOM4lFKe+vSnL5fLv/uHx508cfz6a699wpOfXEr5/T/+Y5vrrrl2/+Dgr//272668YYnPeWpp0+eLLXcd/bsbDZ7xu23nz9/YbFYXHPm9J//1V9ff911j3viE0+eOGH7UQ9/eCl199Kl+86enc/mmdmybWwsFov5sZ2du+65+2EPebAk/kVQuZ/t7a2tRzz0YQ+6+aZaa9wUT336/Lprrl2ultM0jdN4auPELTfdtLW52dV6y803333PvdecODEMw3XXXnt4dDRN00u9+IvP+lkp5YbrrlsPQ9/1U5te9iVfShEPuvkmO6+75tr5fLZer+87d25jsXH61KkTx4/N+j4iVuv1vfed3dzc2NnavrB7cbFYbG5uXHP6zP7hwcu+1EvtHxxsbm7MZv1DHvSgkydPHB4dXXfNNbXWcRwv7e0tFov5bHbmzJlhGB578tSF3d0Xf8xjju3sjNO0WCwi4uYbb3zkwx52x113HR4dzmfzpzztqS/+mMfs7e+fOnmylJKZ/ItAh/sXuExSKUVSZmZmREjKTEnjNF26dOnM6dOAbYF5NknYaZeIlpmZEVFKsS3J9jiOtVbANiDJdq21tcYVtiIA25IELTMza62ApMxsrUnquq61FhHYtg2SQkobsB1S2hHRWgMy07ZtSbVWQJJgai0kRUzTxIsCdLh/gfuFlLbtiGitSbIdESVCEcMwAJJsA5IA21xWSslMgwCwLck2IMl2KUVSaw2opUytAbYlAbZLKbaBzJQEGAQR0VqLCNu2JdkGSikRMY4jz0mS7YiIiMy0zQPYrrW21gwCSbwoQIf7F7jM9qW9vY2NjVrK4eHR6dOn1ut1V+swjgeHh13XbW1uAthIgnGaJJVSsKOUvf39jcWilAJkpqTWWilFgBQR5y9cGIbhzOnT0zTtXrp0/NixiKiljNNUSonQ+QsX57NZlLKYz7M1JEnTNK1Wq+3t7XEca62CtCVFxIWLFy/u7j7sIQ/OtG1AEpCZJWI9DIeHh7P5fGOxAMBOpx0RFy5ePHH8uCBt27wooHI/SY9/0pMODw9Pnzx1cHS4s7W9ubmxt79/cHCIuO7aa/f393e2t++97+x1115z/sLFhz3kwVubm3/z9/8wm/XDMF7c3b3humv3Dw6P7exc2rt0zZkzx3Z29g8O7rrnnjOnTu0fHJw+derCxYs3XHfdOI5PeNKTX+c1Xv3xT3rS2XPnXv1VXvnP/+qvQzp/4WI6u647tr0jqbX2yEc8/MKFC3//hCdcd80121tb5y9cPHZs5+y5c9dfe+3B4eHBweHh0dGlvb0SsV4PtZbdS3t9391800133X3P4eFhqeWa06f3Dw63tzbvvvfehz3kITdcd92f/eVf3nPffS/zki+JOXP61Gw2s82/CAIAJLXW1uv15sbm055x6+Hh0d7+PvC4JzxxtV5tbmw+6clPkfSEJz95Y2PjwsWLZ8+du+vuu1frdYTuuPOuc+fPHT+284w77rj37Nm77713Z2fnabfe+rRbb/3bf/iH2++489Le3n1nz509dw50/uLFiFitVvfcd9/td975xKc85ehoOU3TweHh2fPnZ/0MaNmOVsv9g4Nbb7ttam1zY2Mcp/V6eMKTn3zrM247tr1z1z333HHXXX3fb29trlbrp956KxKolAI88UlPfurTnz6Mw2I2f9JTnhqhxz/xSVubW7u7u7uXLh0cHM5ns6fdeusTnvyklimJFwXocP8Cl6W9t7e3HobWGvbxY8fGabr37NnTJ08dLY+O7ezcc++9p06enPWzdJ6/cGF7a+v4sWPr9Xq5Wq2HYWOxWK3XwzAcP3YsIjLz3vvuO3Xy5MHh4fFjx/b3D1brVUQ5eeL48WPHnnbrrZnZ931r7cG33LK3vz/r+zvvvueaM6cvXLh43bXXXty9eLRcPvqRj2ytPf0Zz9jZ3s7Mc+fPnz51qu/7YRh2L13a2d7e2Ni46+67t7e3tzY3M7O1FhGHh4eHR0cnjh8/Wi6Pbe/cc9+9p0+d6rrO6WPHdp701Kcu5vNSyuHh4cMf+lDbvChAh/sXuF+JUIQAaJmSaimtNUkts9baWrMtqUSk3VqTFJKktENCykzbglJrtqaIzFaitMzMLCXGcer7XpJtSev1utZiU0uZWiulTNNUSomI9XoN9H2fmUAppbVmO6QoJTMzs9aamZkJSMKOElK01iQ5s9baWktb0DJnfd8yBRGxHgZeRKDD/QvcLyKmaeIySYBtICIiwjbQWpNkWxLPyTaXSYoISa0121whCWzXUgxTawJJs74fxtG2bUkRkZm2gYiwzWW2ayktk8tsSwJsA5K4n22glALYzkxAEiApM2ut0zQBEcGLCCr3y8zdS5dOnTwJCNIGJJVSDg4OjpbLWorh1MmT0zRJAiQBrTWglIKdmVGK7eVyeXH30jVnTnddJ6m1VkoBQto/OBjH8dTJk1NrrbXHPfGJD77llo3FomVm5uHh0dbWZokwtNZqra01213XnT137uSJE7XWaZoiorVWa22t1VrbNElCkiSYWluv10fL5dbW1qzvQ8pM80znL1y45swZ29M08SKCCgCSMvPxT3rSxmJRa5W0e+nS9ddee/bcucViAdx731lJ4zg85EEPvrR3ablanTl9ehynw8OD13q1V3vSU5969tz52ayfpqnv++VyVWsZhvHi7sXdS3uL+fymG2+4uHvpjrvufOiDHnzi+LHHPfGJ09RuvOH6UydO/M3f/73tvf2Dzc2NzLzjzjuvv+663UuXrrvmmpMnTj7j9ttms9mLP+Yxf/6Xf3XPffdde82Zg8PD13zVV33yU596dHS0sbF5cXd3PpsN42A7FMvV8tTJk1Nr995338Zi49jO9tFyubmxefc997zYYx59/PjxP/nzPx/Ww87OthSv+HIvO7UmXgQQ3K+UcnBweHh4dN/Zs2fPnZum6UlPeerTn/GMe++779jOToQ2NzYedPPNd9591zS17a2t3d3dxz/xCfsHh8M43nnX3U952tPuvvfe1tpTnvY047Pnzo/jeOvttwN33H3XU5/+9H94wuPvvufe/YODruvOXbhw+5137h8cLBaLB99yy733nX38E5945113Hd/ZOXH8xDNuv31399K99519wpOf9Izbbr/2mmuWq9Xu3qX5fPbkpz710qW9cRzvvufera2tu++5OzOfftsztre2uq6779zZ8xcv3nrb7VubmyeOHbfz6c+4TYonP+2pJ04cv7h76eLF3Wmaptae+vSnHxwcZKZ40YAO9y9wWWYeLZcXLl7c3Ni87+x9T3jyk1/hZV82Wx47tjObzVar1eHR0Yljx4dxiIiQFHF0dDS1dsuNN956++3A0299xi0333Rpb2+apkc9/OGr9TCb9X/3D487eeLEfD7b2d7ePzg4eeLEfDY7Wi53L106cfz45sbG/sHB/v5+ROm6enh0tLO9M47jOI4nT5648667jh8/vrO9vbFYPP0Zz8Bsb28dHB4+5JZbzl24cP7ChTOnTt137vx1114jUMQ4jgcHB8d2jt19371nTp06Wi63NjfvO3v22muuASRtb2096SlPObazY1uK6669ZpomSfyLQIf7F7hfRESEpEt7e8DxnR2gZWZmRITUMiWBbYCIAMZx7LsOabVabSwWR8vlfD7PTEASsFqvNzc2pmmSlK2lHRG11mmaMjMiIgIAQmqZkgQts+u61lprLTNnfW/IzJDW49jVWkqZpqnWOk0Tl0kKqWV2tU6tRShbllqnaQKAzJz1fcsEwOM4SeJFATrcv8D9SilAZkqSlJmZWUqxnZkRYVsSIMl2ZkaEbUmZWWudpqnr6jhOESFomcBsNhvHEYgIZyKViOVq1XVdZpZSBEitNUHakrjMtqQSAYyt1VKm1mopIU2tARGRmYAkoGWWiFLKOI4R0VorpdiWlJm11swEbAO2Sym2JWVmRNgWIGUmzwXKp33qJ3FZRPzJn//FM26/7eSJE6WUaZpWq1XXdQeHh5IW8/kTnvzkrtaQptaWy2XLnPX9crWqtS6Xq77vz52/cHR0lHZX62q9Hoah67q+6/70L/4i7Y3F4nf+4A+2NjenafqHJzxhb39/Y7HY2ty88+67/+jP/kzSyRMnVqtVrbW11lpGKDNtHy6XwzguZrPdS5e2NzfPnT9/39lzy9WqTe38xQsbiwUwTdM0TbPZbLlcPvXpTz+2szO1NpvNlsulpNvuuGNne/vg8FDSMI6GbClptV4Llsvl3v6+wPbU2noYZn1vmweCCgCShmFAPPLhj/jN3/3dl3qxF9s7ODh77rxtZ548eeJlX+ql9vf39/f3V6tVKeXipUubGxuSzl+48JhHPvLpt922mM0Xi0U6Dw4ONhYbklar1eu85mtEKV3XjeN45913X3vmmmfcfsfF3d0SceMN1+/t758+c9358+cf88hH3nv27N8//vGhuP66a48fO3b+woVzFy682Ru+4V/9zd/ecdddi8V8c2MDGMZRsLe/b9P33azv/+Kv//rUiRPL1fqWm256yINu+bO//KvDo8OnP+MZ4zi96Ru+wd/8/d+P03Tu/Pk77rwrQofL5eZicXi0tHNjY2PWz6ZpipAUrU0RcXB4VEt51Vd6xa7rbPMsEABgu9Z6dHT0tFtvveWmm55666333nd2uVoeHB4++EEPqrVmZmYu5vPzFy/OZrOH3HLLqZMnDw8Pt7e29w8Oj46WU2sPuvnmYRge+uAHR4l0rtbr2++4IzOvOX3m4PAwM+87e7aU2NrcaJnL5Wq5XB7u725sbDzhyU/patd3/dbmZmY+5WlPA2y31maz2S0333TdtdcuVyspxnGMKLPZzHh7a7vre8zW5tZiPjt34bztdC4WG5m5ubmR9s72zumTJ2ups9nMcHBweNONN3Zdnc1mO9vbFy5e7Pvuwu7uOI2gYRzPnD51+tSp5WoVETwQ6HD/ApdJ2tvfz8zTp06dO39+Y7FYD0Pf9yXC9nw2u+uee/q+n81mfd87U1JEHB4eLRbzo+VysVgIbAO11j//q78ex/HGG66/+aabSsSdd989n826rtvc2JjP58vl8tLe3ubGRkRExPmLF0+fPGl7uVot5vP9g4ONxaKUkpkRkZlArfXCxYunT506f+HC9tZWay3TGxuLo+UyIto0lVI2Nzcv7u6WiNl8vlwud7a3h2Houm7/4KDvut/7oz+65aabH/OoRy6Xy3EcS63ZmqS0Nzc29vb3a63z2ay1VkqRxAOBDvcvcL9SCjBNU601MyXZtg3YrrViG2xzme0SkXZEZCaX2QZsl1IiYhxHSaUUO0GZmZkRERG2bQO11nEcIyIiMrNEtExs80wCQymltVZLaZmSgMyMCECQdmbWWm1nZillmqaIsF1Kaa0BpZTWmqSQzGU2UmZGBJCZkmzzXECH+xe4n6SQ0rYtSVJmllIkgVtLQFJrLSJsRwSQmbYBICIiwjZQSmmthdQyMzMiSim2MzMibNuOCGwkYBzHiABsl1Iys5Riu5TSWgOA1pqkUso0TRGRmaWUzAQiwrZtSZIys0Skzf1sR4SkzLQNSIoI25kZEZlZIlomzwvKp33qJwGGErFcrQ6PjrpaM3OapvV6HRGHR0e7u7v3nTt39ty5Ugp23/fL1eppz3jG5ubmarXqai0RtVZJ4zT94R//SWstIv7ir/96uVw9/klPuuH660op6/X6nvvuW6/X89ns9/7wD1vmiePH/+hP/+xoubxw8eJTnva0vf0Die3tbUmHR0cl4vDoaByG2++8c9b3q/Ua+8677t4/PIiIzc3NpzztaZsbG+v1upQi6eDwMCJst9aWy2Xad95198bGIu1xGFprtdaDw8Ojo+Vs1t919z33nTt7/Nix3UuXsrW+7w+PjmqtB4dHfd/xvKACQEjjOP713/7tcrXa3Ng8ferkpb29e++7b2OxIelwebSztZ3OZ9x+x8Xdi6/xKq/a993u7qWjo6N77zv7mq/2qqvV+q//7m9f9ZVe6d777jt54viFixdvvummS3v7EWVnZ/vc+fPnL1580pOfks5XermXv/Puu0+dPLl76dJyuVwP67973OPOnD590w033HHXXRsbi9li4/bbnvFbv/d715w+0zJDWg/r2+644/prr3vSU59y8viJ9bCWNOv7u++99+y5c+cvXHitV3u1g8PDv/ybv73h+uuO7ew85WlPP3Xy5Eu+2GOf/LSn/dXf/e2pkyeXy+WDb7nlwbfc8nt/9EcRsb21dWlvD3PHnXet1uuNjUW23D/YP33q1NFy+dqv/uqlFNs8EAT3M0gxjtMwDrfedvv+/sF6GEspD3nwg04cOz6fz7radV1dLBbz+SwixmnERMh2KbGxWGTmqZMn7zt7LjMvXbp0w3XXAWfPnTt54kSbpsVi/uBbbkGcPHHi3vvOttYOl8tayrXXXLO9tXX3PfdubW4uV6vzZ++rtfZdv1jMb7npxlOnTu5s75w6caLvuuVyNY7jxmLxsIc8ZD0Mi/nixPHjNhd3L21tbbXWVqvV05/xDOBBN98UEYv5vJRybHtnY7G4cHE3M6+75pqH3HLL5sZGZm5tbZ44cfwhD7rlzKlTwzhsbm6eOHHi8OhouVpFhHlOoMP9C4AhpGmanvjkp9xy802llK7WYRjm87kBexjHvutqrQcHB5ubm5l57vz57e1t7Pl8XkqptY7jKOng8DBb7u5detBNN63W62Ecd7a3M/Pg8HAxn6+HYXtzc+/goLW2f3Bw+tSpWort1XodEQcHB7Zvvummi7u7Xa2lFKRxGCKilLJcrRbzuW2g1np4eDibzVar1ebmZmYul8vNzc2Dg4PFYiFJkqT1eh0RU2u11q7W1hoQEa21cRzn83lmSoqIo6Ojvu+HYdjc3LTNcwEd7l/gMkNIpZTWmqTMLBEtk8sk2QYiIjOBUoptoGVi25YElFJsR0RrTVJIU2uSIiIzJbXWaq2ApMwEbEeEbUmSpmkqpdi2DUgCbEdEyxQAhlpKZoY0tSYpIjKzlJKZtgHbpZTMjAhnmmeTJCkzuV9E2A6pZfK8QIf7F7hMEmC7lJKZkmwDkgSKaK0BkjKzlNJasy2p1tpaiwjAdmZ2XTdNE2AbKKW01iLCdkRIst1aiwiJaWq11syUBGSmJElASIaQhnEspQBdrWlP0ySptVYi0u67Lu3MlNRaAySFFBHjNNVaW2uSMrPW2lqTBEjK1kqtrbWQDLYzMyIA2zwQ6HD/AiBombYj4vDwsO974Oz581sbmxubG3fceefGYlFKkbS5udl33eHR0ebGRkS01nYvXTp+7NhqvbYtaXtr6+8f//jrrrnm9KlT9953tuvqrO/n8/nR0XI261er1f7BQdd18/n84u7u6ZMnt7a2zp4797gnPPFlXuolS0Tf92mv1+tQTG26uLubmY942MP29vbGabr7nntns/7G668fx/HE8eN/8dd/c7g82t7aWq/Xs74/ODx61Vd6xWEY/ujP/mxna7vWenB4eOMN1z/5KU998cc+5tozZ+49e3Zne3ucJmAax62trYu7uyeOH18ul1FKSDvb2096ylOPHds5ferUOI6SuAIqV0i2/+Kv/6bWOo7DufMXdna2tza37vXZe++7LyI2Nzdaa8MwHh4d3Xj9defOn3/tV3/1U6dP/9Vf//U9991nu5Qy6/tpmlrmej3cc+99D3/oQ55x++0lSmtNoQsXLh47tlOiXNjdfYnHPqaUeuddd/3N3//9Szz2xRbz2fkLF57wpCcdHh0dP3asq91td9y+s719/Njxw6PD8xcu3HPvvfedPTebzSSVEk948pOHYXjrN3uzi7u7y/Xq9MmTd9511zWnz2xtbf7ZX/7V9tbW3t6+7Yg4PDx8xu23v/IrvPxd99xTa/2rv/3b+Xw+juPGxobQ/sH+5ubm4eHRYj4/d/789vb2G77u69x79r7HPfEJb/7GbyyJZ4EAgNba1tZmKWGnzTiNZ06dPnP61MXdi3b2fV+iLObzxWK+ubE4dfJkRHnK05++PDpqLcdx7Gr34Ftu6bpOilrKfD7b3Fg89elPD8XO9vZ6WE/TdGxn58Sx4w+65ebTJ0/2fd/33TCO4ziN43Di+PEHP+iWzFwsFkdHy9vvvPOG66+/5syZ9Xq9ubn52Ec92vZsNrvphhuuu/aaUydPhuLkiROSFov5y7zESzzy4Q8/c+r0MA4Xd3cf++hHXX/dtTvb26/xKq9y3TXX2rzEiz32SU9+ypnTp8dxHIYhFDffeOPO1pbxNLVpmuaz2YNvuXk+n504fmyapr39A1BrjQcCHe5f4AEkrdZrSV2tQGttaq3vusOjo53tbeBouey7LjPPnT9/8sSJ3UuX1sPwkAc9qLW2Hgag7/uDg4Ptra3Do6ONxWKappa5sVgcHB5uLBaZCYzTNOv7zFyv1/P53FAiDo+OZn0PjOM4m80iYvfSpa3NTaSu1qOjo77vp9YEkqbWFvN5ZtZap2mSNI5jZm5ubk7TJCkiVuu1Mzc2Ni7u7p48ceLc+fP3nT37yIc/3PY0Ta3l2fPnSik33XBDa22cJmcu5vOj5TIi+r63zbOADvcvcD/bQCklMwHbkgSGiGitAaUU27ZLRMuUFBHTNNkupXBZRGQmYDsigMwspbTWJGWmJACQlJlcFhG2AUmZCZRSbNvOzFKKbe4XIRvbAGA7IiSmqUWEpNZaRJSIqbVSSmYCtdZxHIFSim0gIqZpAiSF1DJLKdhp80Cgw/0LXGa77zvQOI5d12VrUUpm1lrbNKUtKLVO05SZs9lsmqaIsC3JmaXWaZokLVerrtbMnM9m0zQN41hrBVprEZGZG4tFZg7j2Pd9ZkoSGELKzIjIzFLKOE2llPV6XUrpuw6YWisRLTOkljkMQ63Vdiml1joMg6Ra6zRNrbXZbJaZwzCUUvq+X6/Xs1nfWkaEYP/wcGtjQxHTNAGSSinjONrm+QId7l8AbNda77zr7mEcbr/zzgfdfPPO9vbe/v6xnZ077777mtOnZ7OZ7bPnzl175sxsNnvSU5967Zkzy+UyShmGYWd7++y5c9dec83Zc+c2FovDo6NxHFfr9XXXXnvvffe9/Mu8jKS/+pu/fdAtNz/jttt3dra7Wh/8oFue/ozbFvN5a61ldrUeHB5ub2/v7+9vbW5d3L34oJtv/qu/+7vjOzuPfPjDn/zUpwLXXnPN7u6lzc0N4PFPfNIN11+3Wq9LlJ2d7WEYHnzLLeM0nT179sYbbviHxz/+aLl8mZd8yb/4679+1MMfcec9dy+Xy2uvuabvuvUw2I4IYLlcXXP6dKllmqbzFy486Oaba622eV5QASAilqvV45/0xEc87GHDMDzjttslnnHHHdecPr2x2Hja02996IMf/OSnPfXSpb1XeNmXOXXy5F1333PHnXfVUhaLuRR/9bd/e/ONN/7945/wyIc97M677r773ntPHD8+m/V33HlXOh/xsIedPnXq8OhwvV6fPX/+wu5FSTdcf/1Tnva01tqFi7vz2WyxmD/y4Q//+8c9btb399z399ddc+apt966mM3HjY0LFy8++alP297aeurTn3782PH9w4NaKvDnf/VX8/l8Z3v7H57whGkar7/uuic++cl//ld//YHv9Z7jOB0tl7/0a78+jMN9586dOXXqrnvuGcfxaLmcpmljsbF/cLCxsWgtb7/zjjOnTj3hyU+epmk+nz/45pvXwyCJ5wI63L/AZZL+7h/+IUo5trMTEbffccc0tWvOnH7q0289c/r0MAzHjx+7eHH3xR7z6PV6/cd//ucPf+hDT544sVquLu7u7u3vK3TtmWuuOXP64u7ufWfPnTl9Ku29vb2u606fPHn9ddfdc++9j3viE2+56abt7e31en3zjTc++alP29vfr7Us5gtjTJTY398/eeLk1ubGhYsXz1248JBbbjl+/Ph9Z8/OZrPVanXh4u7m5kZr7ejoaDFfjNN46sTJS/t7wzC+3Eu/1HK5vOOuux72kIecPXcO2N3bu3Tp0nXXXnvPvfcuFgvbwJlTp1prewcHmGfcfvtNN95wcHh48vjx3UuXXuolXmJjschMnhfocP8Cl0mKiMyMCOyISLvWevbcua7WYzs7tlumpP2Dg3EcrzlzZhxHoEScPX9+Y2Nje3NzGMdSiu3MjAhBywQys6s17YjITEmZCdRabbfWSkRrrZSSdkS01kopmSmR6YiwHRGZGRG2gYiYpqlEILXWbEdErXUYhogASimtNUm2SymtNUmA7YgI6e577z1x/Pis75Faa7Zt83yBDvcvcL/MBCQBtpGAEgFkJmBbkqQIjeMUEbaBruucOU5TRNiWxP1sS4qI1pokg8C2JIPANiCJ+9mutWYmkJmSuMy2JNvcLyJs246IzJQEGAS2ASRsSbaBWkraQMsUdF3XWrMNSOKFgMoDzOdzoLVmu5aS9jRNtdZpmiQBs9msTVNEpL2xsWgtJWXmOI62NxaLlhkR0zQBkoBSyjRN4zhuLBYtMzMllVJsA8MwdF1XIlprSJkZEaWUS5cu9X0vabFYTNM0TZOk2Ww2TVMtJe2IsD1NU0TUUlbr9WKxmKZpmqbFbNYyQ0o7JKTWWokwXNrbm89mwMZiMU3TNE2SJPEvAh3uX+AySU99+tMj4tTJkyFd2N2tpV537TV33XPPmVOnZrMZ8NSnP/3MqVO7l/Y2NhYXLl48fuz4crU8fuxYLeXpz7htZ2d7MZ8fHB5ec/q0IsZxbC33D/Ztr9brjcWi1rq9tTVN0+6lS6UUwUMe/OB77r334PDw1ImTU2tbW5u7u5dW69XTn/GMUydP9l3Xdd321taZ06enaXrarbdee801586fXywW4zg++alPfemXeInjx4796V/+5dbm5vbW1tbm5jVnzjz+SU86efz4weHhYj5frlbA3ffee83pM4v5/ElPfcp111xbSnRdt7O9ffrUqWmaJPEvggoAksZxvPW22/quf/JTn3r9tdc98SlPfvVXfuWu637zd3/30Y94xGu9+qvt7x887olPvOb06Yu7ly7t7d1w/XXnLlw4f+HCzTfe+GKPfvTTnnHr/v7BLTfduHtp7+EPfegjHvbQX//t377ummvuO3sunfPZ7PyFi9tbWzfdeMO58+fn8/nW5uYzbr/9lptvfvozbnvik5/80Ac/GPGohz/8nnvvubh7aXt76557712t1+cvXHjMIx954/XXL5fLJzzpybfdcce9953d2d46fep0LbXv+yc86UnjMD75nqcdHh6++GMfI+ne++4Tuufee8dpmqZpPp+tVqvWmqSd7Z077757vV6fv3Dh0Y985JnTp3kRQeV+EbFcra45c+aGxXX33HvfSzz2sadPnVqv16/1qq+2WMz//nGPf9QjHnHzjTdm5onjx06fOnnLTTeN07SYz2d9HxGPfsQjL+1duuH66+87ezZC2zs7D7r55jOnT4/TtLW5eWx7575jZ2+4/vp77r3v2M6xhzzolpa5v3+QmbNZ//CHPvTM6VN33HnX5sbGNWfO3HTjjU952tNuvP76vp9duHjh2M7OE5785Ic95CHXXXvtYj47fuzY1ubm6VOnDg4Ph2G44frrL+zuPuZRj9zb27/+2uuOHzs2n81nfb+zsx0Rp0+eRLpw8WJX63XXXvv4Jz7p5htvrLWev3D+mtOn7zt79vSpU601SbxwoMP9C1yWmbuXLl1z5gyXCcZpAmaz2dHR0XK12tneBmqtmSmptSbJdkRM09R1nTPTKSkUwzjO+j6dIECQtu2IkJStpV1rnaaplMJlgqk1SZIASQKko+VyWK+3t7eBWmtrDdsgqbVWIpAiIjMzU6AIbCRJtgFJzkQCJElk2rZt27woQIf7F7hfKWWaJu4nCcjMUkpIU6bANs9Dkm0ACRuQZJsXTJJtSba5nyQDNg8QEZJaa0jYPIAk29xPEmCbF4EkXnSgw/0L3M+2JK56XlB5AElc9XxB8Dxs2wZs27YN2AZs8wC2uZ8k27Zt2wYA27YB27a5zLbBNmCb+9m2zXOybZvLbPMAhpAkASEBBtu2uZ8k27Zt2wZs828AlQcIqWWWUiJiHMdaa4lIu7XWd90wjrPZbBzHzCylZGbXda01SZk5juNisXBm2iG1TNu1FCTbEVEi1sMQERHhzFLKNE2176dpaq0Bs9mstZaZkmxnpqSu62xnpiSBwXZrKVFKWa1WUUrfdav1uqu1lhKlAMMwSIqIcRxnfY9kO6SWGRHTNPGvBTrcv8Blmfm4Jz7xJV/sxQ4ODlfr1TVnzpy/cGG5XHZ9v7O9ffbcuZtvvPFxT3xiVytoMZ8P43D82LH5fI7967/zOy/26EdvbW52Xdd13TiO99x33yMf9rCj5XKapq7W1TDcccedL/aYRw/juFqt+r6/tLd3+uTJ8xcvdrXeeffdD33wgw8ODre3NmvXzfr+1ttuWywWD7rpprvuvXfe913ft2lKW7C1tfX4Jz7pvrNnX/1VXvnOu+5+4lOeLGlne/uVX+EVLu3t7e3v910H3HX33dPUzpw+vb29lZm11vV6vbW1dXh4ePrUKdv8q0AFAEm29/b2a62//ju/01p7yzd548c94QmX9vdnfQ9sb23//eMev729de7c+ZZte2sLuO/cuUc/4hGPevjD+647d/7CE5705J2d7a7rbrv99mvOnHn4Qx7ya7/1W4v5fD6fCy1Xy5d6iRd/ytOf/nf/8A8nT5zY3Nj867/7u5MnThwcHNRa/+wv/3JjY+PChYuPesTD77z77nvuvfemG2648frr/+bv/m730qVHPfwREbrrnnu7Wt/w9V73phtveOqtT8/Ma86cvue++44f27n9zruWy+VTn/70O+66az6bd7VMrWXm3v5+7aqk3UuXjh87lpmr1er1Xuu1IsI2LzqoAGC71jqO498/7nFnTp2KUCnlzOnT1117bWZeuHgRfO01Zw6Pjq45c2a1Wp0+fWqaJptTJ0/O5/OHPOjBq9XqoQ9+UN/3t9522/b29s72dinl9MlTm5ubi/nsvrPnrrv22nEcV6vVzvb2MAybGxuL+Xy5XJ45dTqdknZ3L21ubt5739lZ3585ffrMmTPjOE7TdM2ZM4fLo3EcT586abu19ozbb9/e2rrtjjvW6+GhD37QOI52pn3i2PHNjY1Syrnz52upxpJay2maHvqgB29ubly6dOme1Xqaplnfm38N0OH+BS6TNE3TNLXFfDZMU1erbUCSpNVqtbm5eXBwsLmxMYwjUt91wzBIkgRIsi3Jtu1Sim1gmiZJEQFkZkRIuv2OO86cPn14dJSZN1x33TCOfdfdc9990zRdc+ZMRLTWbNdap2kqpWRmZnZdZ9t2a00R586dO3XyZN/36/VaUt/3rTUAkAQAETGOo+2+71rLzARKKbb5VwEd7l/gASTZlpSZXCbJtiTbpZRpmkqEITNLKZkJSLLNFZLANpdJ4jLbkgDbpRTbEQFM0yTJdilFUmst7ZCAzCyl2JZk2zaXSQJKKa0120ghZWaJSNs2IInLJNk2CGxLss1lkiTZ5l8EOty/wGW2u64DpmmKCLAUtZTlatV1XUQMw4DUd900Tbb7vh/HsZRie5qmrusA25KciWS71jpNE4Bdap2mCehqNUzTNE1TrVXQMiOi1rparbquq7Xanqap1jqOI5CZ89msZQKCKCUzM7PWOo1jqXUcx1LKcrXqu66Ugj21hiSwHRG2JdVax3GU1NWKNI7jNE0RIYkXDnS4fwGwXUrZvXTpyU99Wq31QTfftLmxcbRcHi2XG4vFE5/85Ic++MHnL1y89poz4zQd39mZz+dPespT1sNw0w03AKdPnrz73nvHcbrjrjsf/tCHlRLZsu/7c+fPnTp1KiJCuri7e/rUaTvvO3s2Iubz+T333re3v/ewhzzk3vvue/CDHrRcLsdxRLId0ulTp86eO3fdtdcuV6u/+bu/P7azc+MN17eWEdo/OFjM533fX7p06Zoz11y4eOGWm2/+q7/923vuvfclXuzFtje3FHryU5/6yIc/vKv1b//hH17upV/67nvuOVoud7a3jx8/Pk3T2XPnaqlRQnDTjTcul0tJvBBQASAiVqvV3z3ucfv7By//Mi99+5131lqf9vRbd3a2I2J//+Bo+fhz58+fv3j92XPnXvNVX/Xes2dvv/POo6Pl3z/u8ddfd+0rv8Ir/N3jHvfQBz/4wsWL//D4x0fEnXffff1112bLJzzlKQ990IMe/8Qn7e3vv/qrvHLf93/5N3+7sbHouq61luk/+tM/G6dxd29v/+Dg1ImTFy5ekKLrumH4h7Pnz73ua7xG3/ellHvPnn3iU57c1bpYLKapzWb9NE4bmxtPvfXWvf39M6dPO911/dmzZ//oT//s1IkTz7j99u2treuvvfYJT3ry5sbGiRMn7rzrrj+7595XfoWXL6X81d/+7ebGBnDq5MmLu7sPedCDuq6zzQsCFQBsd123sViMw3jq5Mmj5fJJT3nqDddfd+P1N9x5910njh0fxgFz0w03rNfD0XJ5bHsnFNecOb21tXndNdf0XbexsXF0tHzUIx6RmbfedtupkyeO7ezcceddJ0+cuOvue6679prNzY3jx45N0/TIRzx8MZ9furQ3TlMpMe7sHB0d3XzjjU99+tMjdOP1N2xvb2XmhYsXu67b2dkZxzFC111zTYS2NjeP7eyUUiQ97glPnE3t5htvfOqttx4tlzdcf918Ph/H8aYbru/7/tr1NadOnDw4PJzPZ33fL+bzUsrmxkZXu9msf9TDHz6fz8+dP39859iNN1wvyTYvBOhw/wKXSbKdmaUUoLVWa83MiLANtNYk2a61AsMwzGaz1lpm1lpba1Nrs763bRvo+/4Zt922s7OztblZSlkPQ4ngfpIkARExDENEZGbXdZnJZaWU9TDUUjJzb3//+LFjtjOz1pqZtdbb7rjj+LFj21tb4zjWWjNTku1aStrTNEWEpMyMCNslYmotIrifJADITF440OH+Be5nGzAIANuSIiIzbXddl5m2gcyMiMyUxP1KKVNrIYU0ZQK1lMy0bbuUkpld19m2HRHjOAK2JUVERGSmpNYaYFsSANRap2mSVEpprWUmUi3Ftm1JrTUkAWA7IiJiak08m6FE2ObfACoP0HWdJEm2AUmttcPDw83Nzb7vz50/33dd3/e2F4tFZgoMkjLT9mq93pjPx2larlbHdnaGcSwlIqKU0to0Ta2Wct/Zs13XlVIOj46uOX06Imopkg6PjlardSmRmcd2diQZJDkTab1ez2Z9a3lpb28xn29ubkxTk9RaG8cR2NracubUWkTYHsfx6Ojo2LFjrbWIsC3IzHGaJPFvADrcvwDY7mp96q23Oj2MY4RqrUdHyzNnTj/+iU98sUc/5t6z92HP5/PHPvrRBwcHf//4x584fnyaJknL1ermG298/BOfNI7jy730S509f34YxnEab7z++rvuvvvYzs75CxcV2r106bVf/dUf/8Qn3nX3PQ97yEOe+JQnv+LLvdx6vX7G7bfPZrOd7e277r5ntV5de+bMbDbLzFrrweHhyeMn9vb3Xuwxj7nv7Nm//ft/2NhY3Hj99buXLp08cfJoebS3f7Bar649c+bw6Ki1dvNNN126dGm5XJ09f+5hD3nI4dHR5sbG/v7B5uZGZna1PviWW8ZpksS/FlQAkDS19tSnP/2ue+550M03l1IODg5PnTzxa7/1W8d3jv3+H//xer1++EMfElEk9g8Ozl+4eHF3d5razva2Qr/xO79z84033XvffU948lPuPXvfsZ2dCxcvXtrbu+fee6dpeuiDH3zu/IUTx493XSfpxInjW1ubfd+fPHHiz//yL3cv7c36/p5775Uk9Izbb5/N5n3f7e5euuaaM0988pP3DvYf8bCHPeXpTx+m8VE3Pnz30qU//+u/fvQjH3n+woWtjc35fPaUpz19sZjbfsKTnnThwsVhHG65+ebHPeEJx44de8btt3e1297a2r10qdby4Ac9iH8bqDzAmdOnT586dcN116U9DMPW5uaJ4ydW69WZU6fOnjvf9916PTzlqU87ferUcrl8zKMedezYjuC2O+54jVd5lWfcfvtLv8RL7B3s33zjjWdOndrZ3q6lzPp+a3PzmjNnrrv22uVyuV6v7z179prTp++86+6u1mEYbrrxxuuuvTYijo6Wxra7Wper1TCOj3jYw0qUg8OD8+cvSHrQzTdnazs7O8eOHVut1w++5ZbbZ7Njx46N43jdtdcuFgvB0XI5n81OnjjRWrvxuut2L106deLkqZMnbF/c3R2GwZmS+DcAHe5f4H5d10lqrQGSMrOUYtt2RKzWa2fajohhGI4fPz5NE1Ai0hbPJKllSooI24KpNUmShmFYLBbjOJZSgGEYaq1cFpJBYJAEONMgiFLGcYyIWso4TUAppbVWSgFsA7aBiJBk2zYgCchMQFJEDMPAvw3ocP8CD9Baq7W21oCIyEwukxQRaQsiwvY0TYrABiKiq3UYx67WlhkRtgHb0zR1XRcR4zjOZrP1et133ThNkkop4zjyIpBk23ZEALb5N5HEvw3ocP8Cl9kexnFna+vi7u6xY8cyc5qmvu+BiDg6OrK9ubExtXZwcLC5udnVmrZgmqZxmu6+994br7/+vrPndra3Vut1KKJERJw+efK+c+eOjpbXXXPm9rvuuuG66+65774zp06N47gehlMnTqTN/3ygw/0LXGb7V37zNx/6oAd1Xbdar2upd91z94Nuvnm9HmZ9f3B4MJ/PW2tnTp/+m7//+xd/zGPuvPvua8+cOXv+/GMf9ahxmv7h8U9YrVeL+TzTp0+dvPuee0sptdYXf8xjzl84//Tbbuu7zvbGxkYp5eLu7uHh4c7Ozqu90iuN4yiJ/+GgAoCkcRx3trfPnb8wjENmtsxZ399x112hOH/xwqMf8cg77757tVo/6SlPTeef/MVfHBwcDsN45913nTp58pYbb8zMne3tiJimaRjGnZ3tm2+88YlPfsr5ixeQ5rNZV7tSS2Zm5vbm1v7+wTAMF3d3d7a3bfM/HFTuFxGPeOjDJNbDsF6vp2na2NhYLldTmx758If3fbe5sXFh9+KJ48cvXdq7/rpr77jrrltuvKnv+53t7d1Le4dHh496xMOfcfvt15w+fc99ZzcWi1rrQx70oAc9+KF/+Zd/ZvshD37QE5/8lAffcvPjnvjERz/ikZubG9M0rVarrc1NSfwPBzrcv8D9SimAJCAiMlOSIDPTjoiQDNhpR0RrrdbapsnQ9/2wXndd1zJLidYyW1PEMAyL+Rxpmqau66Zp6modxrFEIGVma43/+UCH+xe4n21eEAmb50cSkJmKwOZ+kmxLss1lBoFtSdxPEv/zQeUBJPFCSLxgEQEg8QCSAElcJgAk8b8OBFe9KCC46kUBwVUvCgiuelFAcNWLAoKrXhQQXPWigMoDpI3NVVJIPBBU7idpa2ODqy5bLpe2eRaoACBpHMe//4d/aK1JMv9PCWyXUh71yEd2XWebK6ACgKTW2hOf9ORhGCJk/p8SpN133cMf9rC+721zBehw/wKXSVpsboG4Ci8PD2zzLFC5n+39S7tkAkRwRSYSEv/PlFJ4IKg8QImI7W0i8uAAm4hYLHK9ZpqQ+P8MggfQbLb84z86/I1fJ4JSmKbln/5JXrxAqdj8fwbBFdlia2vvR35o7/u/9/CXfvHi135V3Ti298M/ePaTPv7od347NjbI5P8zqDyTsFd/8ifHP+TDulsedPaTPv7or/+0Xbx47P0+gKmJalv8PwaVZ7EJqe8pRZtbe9/zXeX06fFpT83Dw61L59R1ZCLx/xNUrrCJ2j3kIZe+93vKieNazLfe9M2HJz1x+bu/QymeJnUd/5+BDvcvcIVE5sEv/LyPDrfe4i3L6TNSv37yPxCle8hDfHBABP9vgQ73L/AsUmxuQ+TRHtPkzFgssD0MRPD/Gehw/wIP1BpABBKADSDx/xxUnkspPJDEVQBUHsA2z0OSbUm2bUsCJHG/zIwI29xPEs/JNpfZjgjbhpAyUxIPIInLbHOZJNvcT5JtSfxXgsoD9H3fWosISUBmAq21rusys0TUWtfD0Pf9arUqpWRmRCwWi+VyOZv1IMCZLbO1xgN0XVciptb6rlut113XRcRyuVwsFoKWmZm11sxcrVZA13URYbvWul6v+74X2DY4s9S6Xq8l8V8GKgBExHK5/M7v+Z63ecu3/NVf/43zFy6UiFd4+Ze7tLf3uq/92t/+nd919ty5Jz/lKe/8ju9w4w03fN03ftPbvc1b/8iP/fjNN9103XXXPvQhD/mlX/mVhz/s4SeOH/+Hxz3upV/qJV/8xV7sJV/iJYZhkNRam29sfsd3fMeTn/KUV3j5l5P0O7/7ew960C033HDDH/3RHz/ykY+4dGmvq/UN3+D1v+4bv+mlXvIlbr31GW/xZm/6sIc97Ld++3ce8pAHf+u3f8f3fMe3f/f3fd8Tn/SkT/y4j/vSr/iKYT186Ad/0EMe/OD1ei2J/xpQAWCapmPHjp09e/b3/uAPnnHbbdM0Zba//tu/PXP6zKzv77r77muuOfNWb/Hmf/O3f/fEJz1pvV6dPHHiJV/ixV/+5V7ub/7mb7/zu7/ny77oC3/9N3/zV3/910spf/CHf/SoRz7y6OjonnvuKaW2bA996EN3L+0+4UlP6vruCU944hd+3uf+/h/84Y/+2I+/5Eu8xO2333Fxd9eZJ06cOHv27OOf8IStra2bbrrp8PDwqU972nK1bK396Z/9+Z133tmm9m3f8R2v9AqvePz4sZ/5uZ/7+I/75OVyWUrhvwZUALAdtX/sYx773d/3fW/weq/7x3/6p13XnTt/4cUf+9gnPOlJ0zTt7e1N47S3t/c3f3vrOI6//4d/WGuttaY9n8+e+rSn717a29zcuPaaa3/l137toz78w//u7//+53/xlzY3NtL+6I/48NlsdstNN/3lX/7VjTfc8JSnPnX30qXZbJbZxnE8efLk7sWLv/cHf/CYxzz6rrvuOrZzbBzHrtb7zt73jNtum9r03d/3vQcHh5l5z733XnftdZf2Lm1sbID5rwQ63L8A2O77/rbbb//xn/ypl32Zlz5x/MTm5sbv/+Ef3nPPvSdPnrjpxhvvvvueO+688zVe7VVby5d5mZf+i7/4y37WP+yhD33GM56xs3Ps537hFx79qEc+6JZbhmH8gz/6w/d893e/8YYbuMyZivjd3/v9dP75n//Fm77JG//YT/zkox75iOuvv/5hD33o05729Iu7F0up99xzz6Me+Yjb77jjGbfd9qqv/Mov89Iv/WM/8ZM333zTK7z8y3/rt3/Ha73ma5w+depJT37yXXfdffbc2Q98//ff2d6epkkS/zVAh/sXuMx2rXW22MxxnbbtbjaDwM2ZikAdOdg5DGPf93aO41RrBUrX42zTBJRutjo6aK3Z5jJJ8/lcEN1sGla1n+OWrQ3D0HVdRAAqpY1jqRXFNKzHcVxsbLi19TDMN7bauG6t9X2HApX18nCaJkn8lwEd7l/gfrYzU5IkIDMBSYANWBIgyTYgyTZgWxKX2Y4ISTxAZgK2IyIzJQGSbHOZbUmA7YiQ1FqTJCkzFSGwDdiOCEn8VwId7l/gqn8RBFe9KCC46kUBwQPY5gWwzWW2ucw2D2CeD9sAYJv72eYFMM9k2zb3s23bNpfZ5vmxbZvnxzZg2zbPj3k227YBcz8IHqCrFYgISYAkICIk1VqBiOi7LiIkzfpekqRSClBL4bKIkCQJ6Pu+REiqtUYEIKnWCpRSgIiIiFJKRAAlAgD6rqulRAQgqeu6rutqKSUiIvq+lyRJUkSUUgQRUWvt+952KUVSiZAUUki1Vtu11q7rgBIhKSIklVJsd7UCkkLqu67WCtRSuAJ0uH+By2w/7dZbH/7Qhy5XqxLRdV1mRsRyuey67hl33LG9uXn82LGnP+O2W266sdZ697331lpPnTgxtbaxWBwcHh7b2ZlaW61Ws76PiL39/XvuvfeWm29erVbDOJ44fnzW9621g8PDE8ePX9zd3d7aWq3WiGxNEVubm4eHhxsbGyXitjvuRFxz5kwtZbVaPeP2OyJia3Pj5IkT4zRdvLh74w3Xt9YMrbXW2sZiYxyH9TCcO3/+9KlTpZT5fL5er7taDbbvvueeRz784bfdfvulvb0Xf+xjdy9dms9m4zj2fX94dHT82LGLu7vjONZatzY3z52/sFqtrrnmTGtta3PTtqQKAJJaa/eePfsSL/Zif/k3f3v3vfe86Ru8wV//3d9HqLV239lz21tbd4tayt7+wf7BwX1nz5ZSTp08eettt3W1Ozg8HKfxlV/+5fcPDv7h8U+44frrNjc27j179q677j5x4sQ0TXfcedef/vlfvPqrvPL+wcHjn/jE48ePh7QehpAiYvfS3sbGopZy5913v/5rv/bh0dETnvSkzFyuVg97yENuuemmvf39m264/u8f/4Suq5LGcXriU57cWlssFttbW2fPnbv5xhvvPXv28Ohoe3Pr3PkLdtrePzg8cfx4KXHX3fecOnnyMY985OOf9KRLe3ul1jvuvPPUyZMXLl48vnNsuV6t1+trzpzJzHEc773vvkyfPHH8znvurqVIeonHPnZjYyMAwHatdblc/f3jHndp79J6PfR9X0ocLZeZuVytur7jslnf717aTec1Z85kJiYz5/PZQx70oKOj5dbm5jAMR0fLpz/jGW1q119/XYmY9f3h0eFqvV6v16WUhz/0ocMwgNrUrr/uulOnTt18043XnDmzXK02Nzb7vm+tdV3X930pZXOxAZw4fuyaM2dKiQffcsuxnZ0Tx49NrS0Wi9MnT54+efJhD3nIhd3d/f2Drc3NnZ3tcRylGMbxQTffNJ/N7jt7dmrTxsZi99KlrnY33nDDpUuXhmEAlsvl0XIZEdlSAFy8uLtaD6dPnaq1a62BMg0AOty/wGWS9g8OpmmazWbAxmLRWouI1XrtzL7vSymHh4eKiAggJCAijpbLYzs74ziWWrO15Wq1ubGxf3CwubGRmS1zPpuN47gehs3NTWdmZtd1u7uXtrY2ucwA1FL2Dw62t7Yknb9w4cTx48vVqu+6WmtrLSJaa5IkjdMEZGvz+TwzuexoudxYLFbr9ebGxt7+/mKxKBHAar0Oqe9727XWWuve3p6hq3Wcpvlstn9wcPLEifvOnj1+7FhrbZym+Wy2HoaNxeLi7qUTx4/ZlqTD/QvcLyIAICLGcYwI25IkZSYQEdgGwLYkSUBmArYjIiIEaQMSQuM0SYqI1pokwHatNTMjIjO5zHYtZZymiOi6bhzHiMjMzJQEALYlRYRtwLbtiLBda52mKaS0S0TLlJSZpRTbtiVlJlAiDAKD7YiYWuu7LltLOyIyMyIys5TSWgOA4H62I6LWOk3T4eFhiWitGWopkrquRkREKKKUElLfdbbHcey7LiL6vuu7Dhin6eKlS6WUYRiWy9XB4WHXdX3XAX3f11q7ruv7PjNtX9zdzczMzEzBehhqrethuLS311obhsF23/ellIiIiNlsJmmappBqKaWUvusyU9Jqve66LkpEhKHvO9t930uqpUREZs5ms4hQRC2lZdZSaq0RMev71to4TbPZDOi6zrYk27YBoAKA7VrrnXffXUv5u8c9/rprrnnZl33Zn/35n3uZl3xJoJSyXK12trcPDw+7rlsPw8Z8sVwtpVgP69batWfOnD1/vu+6G2+44S//5m9Wq9X29vbTbr01Mx/zyEedOnVytVweP358b39/Pput10Nmu/66646Wy7/9h3+4+cYbV+v1/v7+a77aq/3kz/7cK738yz3laU8DZrPZsZ2dRzzsYU+79datzc1Z37fWzl/cvemG65/ytKefOH7Mpu/79Xp9y8033XX33ffed9/U2qmTJ8+cOpWZT3/Gbem89syZruuWq9X25ubx48ef8rSn3XPvvQ9/6EOHYbj5xhtvv/POUgqwe+nS/sHBg2+55Y677jpz6tSF3d1rzpwRjOO4tbWVmUAFgIhYLpdPevJT+lm/f7D/Ci/z0vfcfdftd9y5tbW1Xq/7vj88PJzP53feddeZ02eGYTh96uS58xdOnjixe+nSxsbiiU95ys7W1tTa8WPH1sPwii/3cr/8679x/NixWuqlvUtPe8atL/3iL/Ebv/M7wHw2f+iDH/R3j3vca7/Ga2TL+Wx2cXf3zrvvHsfxHx7/+HPnz//Rn/7pYx/96K3NzSc++Smzvp+m6a//9u+2t7dOnzx537lzreUjHvqQ/YODv/rbv93e2trc3Jim6aYbb/ijP/szYD6bHx0d7e/vP/Xpt15z5sw99977949//A3XXbe/f/CIhz2sZT7t1luHYfy13/7tzcXizJkzT3jyk2+8/oa/+fu/m88X1545/Wd/+VcnTxy//c47z1+48LIv9VLXX3fdOE0Cg6ACgO3ZbLazsy30Yo9+9GKxuPOuu1/3tV5zvV4fHh3Z3lxsTG168C0POn3q5MHBoeHaa85k+sbrr7vmzJkLFy/eeffd4zgdP3ZsZ3v7D/74T17mpV6yTU2hcRxr7fYP9h/64AcPw3Dy+Inrrr3mrnvuGYbh5IkTQEQ88mEP7/vurnvueYPXee1zFy6cv3Dx7Llz115zJu2u686cPj2fz5ar1ayfPeiWmxVx+uRJ233fHdveecYdtzvzQTff3Fo7cfz40XJ57sKFB91y89Fy+aCbbz5aLm+4/rpz5y+0Nu1sb89n8+2t7ZMnTvR9VyIe9uAHR8SxnZ2bbryxTe1BN2/t7e/fdMMNJUpmOrO1hoSNpMP9C1wmSZLtUmKaWkilVtvTNNVap2nquq61lplALWVqrdZqOzMj4u/+4XHHju086Kab0s7MWmu2hiQJGMex7/tpmkoprTVJIbXMcRzn83lIBtsRAUzTFNLRchkRfd/b7rquTZMibLfWaq2SpmkCIsJ2iZhaiwgAu9Q6DEPfdS3Ttu1Sim3bESGYWpMkCQBCmlrrah3GsdbaWiulTNMESAIAHe5f4H5pC2xLkgS0zBJhG7AtSZKk1lpESGqtSTL0XQdM0wRkWsI2oAiBbdsRkZmSgIhorUVEZgIRAbRMgaSQDCEZbNsGbEviMtsRERKS7daaFBFqrUmyLcl2RNgGkJwZEbZtl1KA1pok25IA25JsS4qIzOQySUDlAeZ9n7YkYBzHzNzc2Fiv15L6rgNa5jiOrbWNxWIYx/V6vbmxYZBke5qm1lpmbm1tTdMUEcA4jrYX87ntcZq6rgMyc7VabW1tTdPU973t5XJZa91cLKZpQlqtVovFYr1et9b6vrfddV1EtNZKKdM0drUbxnG5XjtTETtbW6215Wq1ubmZrUUptoFxHLtakaZpmi8WwzBI6vv+6OgIaTGft9a6WodxLKXYlgTYPjo62tzcBGy31mzrcP8Cl0m6/c47+66zfe78hXEcb77pxt1Llx50882Zefudd9l54w03POO22zY3N+fz+T887vEPftAt8/m867rVapWZj3r4w//qb/92Y7GIKJubG6vV6sLu7no9XHvm9DCOrbVrr7nm4ODgaLk8e+7cQx/84KPl8tjOzsXdSyeOH9vb3z88PNzY2Dh+7Nj5CxeAM6dP7+3vnzt//uVe6qXSPnvu/MHhwfFjxy7u7l5/7bXnLly4uLv7+Cc+aXNj46Ve4sUF4zT1XWeY9f3h0VEp5bY77nill3u59Xr9F3/9Nw9+0C1OX3ftNbXr/uFxj9/b33/Ig27J9Obmxj333ffgW245f/7CbDZbD2tBRLRMgSJm/Wx7a7Pvex3uXwAkDeP4+3/0Rzdef8Nf/s3fHDu2c/rkqQsXL+xsb586efL4sWN//ld/vbm5MY7Txd3dxWJ+4tixg6OjxXzeWjt/4cI1Z860lq/xKq/8pKc+9dz583fefffNN954eHi0sbGotR4cHpYo4I3Fxrnz58dpvOH66/f29o7tHLu0dykiNhYbOzvbFy5e7Lru3nvvu+Xmm/qu/4cnPP5lX+qlDg4PX/YlXzLt3/7933/ogx/8jNtun89nt952W631+LFjs77v+/7g8KiUeOiDHvz3j3/cxd1Lx4/tLOYLw2q1fNM3fMM/+JM/mcbpvnNnV+v1673may5Xq9tuv+Pw6OjkieO7l/bm8/ms7y/t7V3a29vYWFxz5kxEXLy42/d9hGqp5y9eeJPXf/2u68qnfeonAZJa5nw+j9AwDA++5ZYScerkqdVqffNNN85ms63NzWvOnNnZ3i4lbrnpplDUUk6fPDWM4872zkMf/OBjO9vHjx27tLcXEcd3dh58881Hq+W1Z86UUk4cO37D9dedOX06na21m2+6qe/7kydPTtN0bGfnoQ9+MBBSy1yv1w950INuuuGGYRhOnjwZ0ji1g8PDUydPLlercRh3drbHabrlpptnff+QBz342M6x7a2trc0N21KcPHFiPp9de+21N95w/Ynjx0opp0+ebK0dHB3ectNN8/n8IQ96UN/35y5cOHn8+JnTpyWt18MwDo98+MP6rr/+2mtuuuHGjcXi4ODgxuuvi4i+72664YaTJ04AOty/wGUCRQASQi2zlNJak2RbEnaUYts2l0VEZoaUNgCs12tJs9ksMyVFRLYWEWkDEeFMRbTWailTayXC0FrLzIu7uzs7O5sbG+M4Sqq1LpfLYRzX6/XxY8dKKdM01Vozs9Y6jmNEcFlEZGZmdl2XrRmDJAFTazUi7VrrNE22I8J2KSVbK7VevHgR6fTJk8M4cllm1loltdaAiJimCdDh/gUus11KycxSSmsNKKVM09TV2jIlZaZtwHZEAAJFZCaQNhASkJmSAEmZCUSEbUmAbUm2bQOSgIiQlJkts0QALbNElFJKKdna1FpEAJlZSmmtScpMwLYkLrMtybYk25IiQhJ2y7RdSslM25Jsl1KA1hoQEZkpiSskAFsSoMP9C4ChRlza3+/7/ujoaGtrK6TdS3tnTp86d/781ubmar3eWCxqrbZns9nR0ZEhW5umaTabGRazGZKgZdZaM5vto6Pl1uZm2uv1upQyjmMpRZLtUkpXa9qZKdFa9n3vTEWs12ug7/vW2nq9Pjw6krS1ublerw2L+Xz30qXjx46N4zifzyXVWp3ZMm33fT9NUy1lai0iJO0fHGRma21ne7vv+/39/b7vu67LzBLRWks7M2d9v1yt5rNZ2uM4SuKBQIf7FwDbXdf95V//DeJouTx18uTh4dEwrPuuv7S/f+LYsWEcbrrhxptvunEYhic/9Wn3nr3v9KlTj3/iE4GXfomX2N8/uOH664ZxHMdxZ3v74u6lUsqdd9/14FtukTRN0+Hh4cMe+tA//8u/etQjHv6M2++4+cYbrr/uuqc87WnbW1uz2Swzd7a3n/K0p20sFrXWCxcv7mzv9H138sSJe+677/Y77lgPQ0RM0zSbzaZxqrVsbW5Orb38y7zMhYsX9/b3773v7A3XX3fTDTc87glPuOnGG+++997rr712d/eSQn/xV389jMPDH/rQG6+//uDwsNbadd0wDPPZbLla7V66tLO9/aiHP/wv/vpvxnG8/vrrQrrh+uunaZLEs0AFAEnTNGXm0fLoZV7yJfcODs6fv/DyL/PSP/fLv/yyL/VSrbW77tkfxqGbLZ769Kffc++9y9Xq3nbfmdOnu677h8c/wfjs+fOL+fy2O+44eeLE1tbmcrns+/6pT3/6HXfedezYzrVnzmAfHh392V/91YULF7qunjh+/K/+9m8z/YiHPnQ9Di/x2Mfeetvts1l/cHB484033nXPPU940pPe593e9ejoaD6fn7948SG33PLUp996tFxub209+pGPfOrTn56Z0zT96V/8xcHBYdd3j3zYQ5/wpCcP4/j0W59xtDx68lOfuru7e82Za06ePFGitNb+6M/+/GVf6iXvO3v2SU996mI+n8/mJ44fu/vee1/1FV/xac94xoXdiweHh098ypOvu/baG66/nucCFQBs930/n89PnDj+53/91zffeOM1Z8784Z/+6Su/wis8+SlPvebMmeuuuWa5Wt369KfecN11d99z79bW1vFjx/q+q6WcPH784PDwmtNnNjYWtdZrzpze2tw8Wi73Dw4W8/nmxubW5sbm5mZE3Hj99fP57N7tnRuuu36apuPHjl1/7bUHh4cb83lX63K5vPaaMw++5ZbFfH7h4sWXfsmXOFqtTp44cWlv72Vf8qVuuvGG+Xzedd358xf+7nGPe+iDH3zf2bNd1z30wQ/ePzg4fuzYehhuuP66xz/xiTfecMP67vWjH/GI8xcunjl9qu96IJ3z+Xz30qXTp051XddaO3Xy5GI+397aapmnT5267Y47HnzLLavV+uSJ4+J5gA73L3CZpNZaKSUiBEiZGRGZGRHjOK7W68w8trOTmRGBbRtQRGZKAmxzWUhpS7JtW1JrrdYK2M7MiIgI27ZLxHK9vrS3d90112SmbUkRMY4jkJl9143TVGvlMkHLXC6Xi8WiRLTMiGitlYi0I8J2KSUznakI25JCGqeplqKINk2KsB0R0zRFhCAi0s7MtMVzAh3uX+B+pZRpmiIiM23XUqbWJCF1tWampNaabduAJAAwYAOlFNuZKUlSKaWU0lqTFNLUWimltSaYWgO6risRq/UaKKVM0yTJtiQewCCQBGQmICkiMtN2rXWaJkm2JfGcbAOSbEuyDUiyLcm2JMB2REjKzFrLNDVAEleADvcvcJntg8PDUydPXrh4cWtzs++68xcvnjxxorU2TdPF3d2d7e2pta7WrusiIiJaa5Iys5aSdq310qVLEbG9vT2O49HR0b1nz2bm8WPHlsuV8ebGxqW9vc2Njdbyhuuvc+Ztd965XK4e9YiH11JsZ6ahlJKZrbWu62xLZDoihmFIez6b2QYyMyKAixd3T544jiSYWsvMiMjMUortUgr21FpElAiDbUm2bZcIg+2IWC6Xwzhub21d3N09ffJkZo7TxBWgw/0LgKDZv/Lrv37TjTfOZzPg8Ohoe2vr4u6lG6+/7szp07/3R3/8oJtvuvW22x58y4Me/chH/Olf/EXf9WfOnB7H8bprrvmLv/7rzc1N29M4bW5urNfDox/5yHvuu/f2O+5YrdYtc5rG+Ww+tbZcLR90882Z+fIv8zLjOP7BH//JyZMn1ut1ZvZ9f+011wzDsLe3t7W1dfONN/7xn/358WPHxnGstbTMS5cudV23sbGxubFxdLTc3NxYrlattfV6KCVKKcDW5ubDH/rQe+699+SJE/fce1/fd3fcddc4jq/08i9/1z33PP0Zzzhz+vT58+evv+66CxcvXn/ddU97+q3XXHPm3LnzpcR8Pr/7nntuuemmw6MjoY2NxYs/9rHjOEoCKldIOU2z2Wxvb//Og7u6rr/nvnsffMstR0fL9bC+9pprMtsTnvTkS3uXrj1zzcHh4VOf/nTbN+3fOE7jyRMnLu3tLVer9Xr9kAc96PyFi0952lNf4sUeO01TKWWcppd8sRf767//u/Ww3tjYGIb1MAwlyt7e3nw+l7S1ufn0Zzzj4ODw9KmTu7uX+r678+57HnzLzTdcd93e/v56vW7ZThw/PgzD4XI5axkRt99559bm5sbG4uy5cxFxdLS8cPHCNWeukXTf2bMPf+hDS63ArbffNgwDsLFYXNrbe+rTn37Pvfet1+uTx0/cfsedh0eHd9x11ziO62G9mM+Bu++5d2Nj4+57710Pw4ULFx908822uQIqANjuuu5BN98s6cVPPubc+fMPvuWWUydP7O3tR4lSymMf/eiNxeLsufPXXXtNLeUxj3zU6dOnDg4Ou1r7rrP9kFsedOzYTonY3Nx86IMftFytrj1z5mi5fMkXe7Gtra3ZrO+67ty58+txWMznktbrYWNj47prr9nb23uj133dpz/jtmvPnD534YLthz3kIRExTRPw8Ic9dHtrq5TyjNtvf/QjHnm0Wu7vHzzsIQ/Z29/vuu6hD3pQyzx54sTupUtdrUir1cp2ttb3/YNvueXg4PC6a6+xWSwWL/MSL3HPtfedPnUqIoZhuHBx99TJE7uXLp08cQKQNE3TfWfPHtvZ2draunDx4tbmJs8COty/wP36vgfaNJVSgMxUBPY4TV2t6SxRptZs933fWosI7OVqBWwsFtM0GUqEobUGRERmZmYtJe2uVqRsrWVKmqZpPpspYr1ed13XWqu1YrdMYBgGw8ZiMY6jpK7WcZoiIiJaayHZVoSgZUaEbSCk9TjWUlprXddFxDRN2GlLqqW0TGxJUUq2pojM5DKJUmpmZmZEZGZrjStAh/sXuF9mArXW1pqkzARKKZlpu5SSmQaBbUlph1RKaa3ZRhLYlgQAEZGZXFZKGacJiIi+6zKzlLJeryV1XTeOo6TWWimllGK7RBhaa7XW9Xotqe/79XodEREhQIzjZFuSbe5XSslMwDYgKSKwWyYAkgBsR4Rt25IA2wASNgBIKqXYtq3D/QvcLyIk7V66NJ/Px2E4dmzH5uDwcGOxKKVcunRpPp/PZjMgMzOz67qjo6P1en3q5Mn1MNRSkGxnpqRSytlz53a2t7uuG8fx4PDw9MmTLXOcpjvuvHMxn1/a23vwgx7Upum+s2dPnTyV2U6cOHHHXXcdHBycOH786Oiodl1Xu91Llx7xsIfuHxzcedddj37kIy9e3J3atF4PEjdcf70kgSIAbKTDw6O+7/quM2Sm7f2Dg67Wrc3NtAEgM0spB4eHkrY2NtbDUGsFJLXWaikAkqTzFy50XbexWFQAsN113eOe8MS9/f1SYrlczeezkydOnD13fvfS7s033rRarTY2N/b29haLxfkLFx7zyEduLBaPf9KTWmsRMZ/PNzc2Dg4Pp2mqtQLXnjlz7vz52++865Vf4eVnff/Hf/7nfd/PZ7PFYvFSL/7itz7jtmEc7XzIgx60XK3+4QlPuObMNS/26Edh33nX3RuL+R/96Z/eeMMN6/X6phtvvO2OO2684fpbb7vt1mfcJumOO+86fvzYtddc89d/9/fXXnPNM26/vdZ69z33RkTfd+M47l66dOrkyaPl8prTp8+eO/8KL/eyu5cuLZfLS3t721tbZ8+fD8WDb7n5rnvu2dzYSPvw8OgVXvZlnnHbbZJ2L126/rrrLly8eO/Zs9ddc835Cxcf8bCHbm5s2K4AIGkcx2fcftv5Cxevu/aae+6974brrru4u3v23Lmbb7rpvnNnZ7PZ3U+7Z3NjQ4pbn3Hbg2++xbbtu++598Tx46v1+vY77zw8PNrZ3tra3HrEwx/2+3/0xyeOH7uwe3EYxou7u6WUvf392++48+Ybb+j6/pozp6fWdncvPf0Zz3iJF3/xRz3iEbfedtvfP/7xr/bKrzyOw40Pfehdd9+TmV3X7V66VGvZ2d7e3twax/HsufMXdi+WWq6/9rqWrdZ6/sKF+86enaYWETvb2zs721KcO3/h/IXz89nsrnvuPn/+gu1bb7vt/MWLx7Z3Tp86lc4nPPnJFy5e7LruphtuuO2O2x/zyEco4k/+/M8f9pCHPP6JT7znvrN2Lubzu+65+9ozZ6675prlaqXD/QtcJunpz3iG0MkTJy7t7836frVeYy8Wi2EYl6vVNadPrYfh2M7OM26/45abbrRJ56VLlxQhGMexdl1rbXtra2tz69777j118uStt93+kAc/SPDEJz/52muuWS5Xi8XiumvOXNjdXa3Wu5d2H/rgB0fE/sHBNE2HR0ePeNjDnvr0p/ddt7m5ed/Zs/P5fL1eHx4dPfZRjzo8Orrn3vse/tCHHBweDsOwf3Ag6SEPetClS5eGcZS0t79/8sQJweHREXC0XJ45derOu+95yIMf9JSnPU1oNut3trf7rkM6Wi739vaOHTvWd93Z8+cffPPNpZSz586dPHHiyU972o3XXXdhd/fM6dNnz53ruu7MqdOLxVyH+xe4X991wNRaKWEjCXCmIgRTayG1zK7rxnHEVoQkSYAk24AzW2bXddM0dV03DIOkWd+P0xQRmTlNU0SUUiJiHEfbESEpIoZhqLXaBmopLTMiQloPQ0TUUoZxjAhJEQEMw1BKkQRERGvNdikFkNRaq7W2Nu0fHG5vbdVSWmZmYkcpkjLTdi1lGEfbfddNrfVdN7UWEa21WuswDLYl6XD/AvezDXRdN02TbS4rpUzTVGuV1FoDbJdSImKaplrrOI6SDCHZBkrEOE211mmaSilAZpZSWmuSSkREjNPEZREREZnZWiulZCYgyXattbVmOyIyE4iI1lpEZKakiMhM7ieplDJNk21J3K/WOo6jJNullIiwzbPYSJLGcQS6WqfWANuSaq2ZmZnl0z71k7gsImzbvuOuuxbzeSnFNnC0XG5sbJw7f+Hw6HA+n0tK++Dg4Pz58xsbm7ffeeexnZ3WGrBar50ZEfuHh1tbW3v7+/PZbL1eA7bvuOuuYzs7LfNoubzn3vu2t7bOnjsXpbRpOnvuXGb2ff/kpz3t5PHjwDiOad99991917XWkM6fP3/u/PnFYtF33TCOtdZhGNbDUEsBbE+tZeZd99zT933XdcMwAC0zpKOjo77vV6vVYjG/5977/vYf/mE2m/313/1dRDzt1lv3Dw4ODg+f8rSnXX/ttaWU2+64YzGf2661jtN09ty5iOj7vnK/zPyN3/kd0OHh4Zu8wes/5WlP67v+GXfcfnS0fIWXfZmLu7tPu/UZme3Yzs4wjn3Xj9N46uTJv/m7v3/a029drddbm5sHh4eLxTwiJJVSQpqmZrxaraZp2tjYeNDNN//uH/7hrO8v7e/fdsft8/n88KlPvfbMmac/4xmPedSjJF26dOk3f/f3JEWo67qDg8PFYn7dNdfcdc89XdcBT33604/t7Nxz733Hjx8bx3EYxhMnjl+6dCkUUWI2m91739k3fv3Xe8rTnnbHXXc95JYH/cMTn3B8Z2cYx+2t7d1Lu6/1aq924sSJrbPn/u4f/uGWm2668667H3TLzU99+tMvXLi4sbEYp2lzY/H4Jz3p6c+4bW9///SpU1Ob1uv1iz/msdtbW8H9bK9W682Njeuvu1bSNLUnPPnJth/64AftHxxcc+bMrO/Xw7ixsZGZwzicPHGi67przpw+PDrqu26xmN904w2nTp68cOGipMPDI0UsV8sbrrsuM/u+n89mkrpaDw4PTx4/vrW5dfLEicPDQymuu+barlZgGMZxHEuJM6dOnzh+/NjO9sbGxubm5oWLu0dHy8x82EMesn9wYFyinDp58uabbpR0eLSstZ46cfLkiRMnjh8TzOfzvf392+684/DwKO2bb7wpsx0eHq2H4d5773vG7bc/4qEPu+2OO7Y2N/7qb/72xLFjZ06fzszb77jD6Ruvv2G1XkXE1tbm3t7e9tbWbNbb1uH+BS6LiKPlsrVWS1FELWX30qXt7W0gIgTr9bpldl23Xq/ns9k4jpubm8vlEqlN02Kx0drU9/0TnvTkjY3Fwx784Lvvvff4sWOllGEch2HYWCxqrXt7+11XMzNK6Wq1ubh7cWdnJ1ubz+d33XPPyePH057PZoZxGGzm89ne/v5isQgJqLUeHB72fV8i0q6lDMMwtbaYzw3jMJRaBcvVqu/79Xq9ubEBmtq0Wq1Onjixf3BweHh48uTJ/f39rc2tS3uXZrNZ33XrYbhw8eKDbr55GEdnjuM4n8+Pjpbb21uSJOlw/wL3iwgA22C71tpaA2wDESEpM0NKW9AySym2JWUmIAmopYzTVGttrdkOSRGtNdu1VtuAbS4rpbTWJGVmKSUzJWUmIAmwXUqxbRuwXUqxbZvLJEnKTECSbSAibIfUMgFJIU2tRUQpZZqmUkprrZaStm1JQGtNkiRJzoyIqTUA0OH+Be4nCbANRERmRoRtwHZEtNZKKZK4X2utlML9pmmazWbDMAC2JUVEZkYEUEoZx5HLJGVmRJRS2jQhZWYpRZK4TLItANKepqmUYhuwLYn72QYk8QC2JdmWxGW2JQG2JdmWZBuQZBuQxGW2JdmWBADl0z71k7hM0jAM0zQpwrBarSLi7nvvFZJUSjk8OlrM5xcuXvzrv/272az/m7//+4g4duzYn/7FXyxXq739/Sc95SkPfciD//BP/nR7a2vW95KA1WpVaz1aLter1b33nd3a2sxM28MwzGazcRyf/NSnbm1ttdY2NjZuv+POv3/847u++6u/+dso8eSnPvXg8PDchQt333vvufMXNjc3ZrOZbUk8gCRJPCdJgCTuJ4nLJAGSAEmSAEmSuJ8kQBJXQOV+EfGHf/qn89n81KmT0zg97dZbX++1XnN//+Cv/+7vgDOnTu1euvQmb/AGf//4xx8eHd15992333nnbDZ7yIMedObUqSc8+SnjNB4/duwfHv+Exz3hiY946EPPnjt32x13Hi2Pdi9dOnH8+DQ1O1vmPzzh8X3fCx0/fuwlX+zF/uwv//LS3v6tt92+XC1f/7Ve65przpy7cP7xT3jizTfdeNfd9zzo5pue9JSnnrtw/sbrr++6bn9//+SJE8vlUhL/xSB4gPlstn9wcPbcudvuvOPaa84cP3as1oLdd93O9vbB4dHBwcG1Z850tS6Xq+PHj5dS1sNw37nzG4vFqRMnp2larlY7O9u7e3vXXXvtXffcfWxnJyL6rr/lpht3tneO7ewMw7i5sbHYWJy/cCEzW+bGYtFam8/ni8Xi1mc84667737YQx9y6223bW1t/tlf/dWZ06fOnD69Wq/X6/Vqvb548WIpxfyXAx3uX+AySfsHB33ft9aytfl8XkppmYKjo6P5fH60XB7b2bF9cffS6ZMnLuzubm1udl134eLFrc1N4Gi5vPbMmdV6nZkRMY7jbDbbvXRpMZ9LAsZpsi0wYG9vb+/t7U2tbW9t7R8cnDh+fH9/f7laHT927ODwcGtz89Le3nw+j4jW2jRN8/k8pL7vbfNfDHS4f4H7lVIyU5KkzLQtCYiIzIyI1hpQa52mqdbaWrNda22tASViGMeI4DJJtkspmcllkniA1lotBSkzI2KaplJKiZhaKxEts5SSmYAkbGMb2/zXAx3uX+B+NhKAQTybbUm2JQG2JdmWBNiWBNiWxHOyLYn7GcRzsC3JtiTAtiTbkmxL4jLbkvjvAjrcv8BV/yIIHsA2D2A7M23btm07M23zIjPPZJvLbNu2nTZgOzNtcz/bvGhs85xs2wZs8/zY5n62eU62AduAbdu20waA4AG6rgMMgO1a68bGRq217/v5fF5r3Vgs+q6zzWW2uZ9tQBJgG5BUIgBJtVYgIvq+7/u+67rFbAbUUhaLxazvJdkGaq2SJNnmfrYB24BtwHZXqyTzbKWUruuAWitgm/vZltTVapvLSilcZhuw3dUqaTab2e67rpZSa13M5wBQPu1TP4nLbN9z771bm5u1FEm11t3d3T//q7/a3Ny8+957n3brrfPZ7C/+5m8knTh+zMZ213W2bZdSuq4bhuHg8HCxWJRSgPV6vbe/v7W5uVqtLu3tbSwWT3rKU89fuLB76dJyuXzqrbdee+bMvWfPPu6JT7pw8eLW5sbGYjFN0/kLFyLK4eHh9tZWa62UAtRaW2u1FNu1VkmllHvuva/vu77rgIhore1eunTuwoXjOztnz5+fzWZ933OZpK7Ww+Xy/IULx48dy8yIuHDx4nw+j4haK1BLufvee0uttz7jGddde80zbr89M4+Wy7/9h3+45syZUkoFAEmttac94xkPftCDfvcP/uDg8Oh1X/M1/uEJT3zUIx5+79mzR0dH11177W/93u+99Eu8xG133HHi+PEnPOlJ6/W61pqZEaW1dvrUyb39/XEcD4+OrjlzZr1ez+dzSU99+tOPlssbrrtu1vd7+3uPeNjD/vrv/u6lXvzFL17c3dvbv/6665745KeA7z17tuu6P/zTP12v17PZDJjP5hKnT5264867jh3baa3VWjMTuO/sudd/7de68+677rnv3kuXLr32a7zGX//d30UE5qlPf/rd99w7joOkg8Oj13r1V7vzrrtmfX/bHXdKnD137qEPfrDh4sWLx48d+9u//4ft7S2bi7u7r//ar3XHXXcdOzj4vT/6owfdfPPf/P3fb25sbm5uPOKhD4sI2xUAbEfE0dHyGbfdfufd98xnfWb2fXf+wgVMa21vb39jsXFpbw/T1Xrp0l6pZffSpZtvvOnC7sX5bPb4Jz7x2muu2b20d9MN1999773z2ezE8eNPe/qtB0eHq9XqlptuMtRan/K0p504fvzi7u44jRubG7fedts1Z06fOH5i99Lu/sFBaw10731nT586uXvp0ubmxpOf+rSLuxdLKbt7l06dPHnu3PlxGrtaW2uS7rr7ngu7F5fL5cXd3QfdfPMdd901m8+GYThaHh0cHobC6b29/fvOnZum6TGPeuTRcnnuwoWDg8ODw4Plen1sext48lOfcmxnZ5qmUsrTn/GMG6+/4Xf/8I9m/Wy5Wk2t7R3sb25uRIQO9y9wWUTcfuedwPbW1mq1uuH664+Wy6fdeutDHvSgw8PDvf39m2644Wm3PuO6a6+55vTp3/3DPzxz+vT1113X1XrHXXdde+ZMa63Wuh6GrnalxPkLF0opm5ubF3d3NxaLjY2NxXx+2x13jOO0sbFordlerVYbGxs333DDrbffvr21deb06ac+/elbm5sR0Vp78lOf+uBbbtnY2Ng/ONje2jo6OprP58MwbGxsHB4e3nD99fsHB/v7+7ZvvOGGixd3dy9duubM6d1Ll1rm6VOn1uv10dHRTTfcsHdwcO7c+RMnji/m87vuuWd7a6u1bG3a3NyUVEtZrder9fqG667bvXQpM8+cPn37HXecOX3a9v7BwfkLFx/yoFtKKTrcv8D9uq4DWmsRMY6jpFnfD+NYIqKUcRxnfT9O0zRNkvqum1rLzL7rptYEBkm2bZdSJFrLWkra2VratZRSSmYiSRrHMSIyE5DUWpvNZpmJbWit9V3XWotSMjOktENKO0LjOEVEiUAahqHWWkqZpqmUIpimSRERMQxDKaXW2lrLzK7rMhOQlJm2AUmSxnGstQLTNPV9P46jpBJRalmvB0CH+xe4X0RkZi2lZUZEKSUzM9N2ZgJpSxJIsg3UWoHWmm1AUtolIqSpNe4nybakzJTEZZJsA5IAwLYk24YSMbXW1WobsB0RU2sCQJJtLouIzOR+tiPCtu1SSmZymSTb3E+SbUm2Sym2M1OSbS6TZBuQBFQAsN133TNuv+PYsZ31er1YLFar1bnz51vm5sbGarV62EMe0vd9RAC2x3E0lIjzFy60lidPHC+lRMR6vV7M5/sHB5f29q6/7rrWmqTMBGqtwzDOZv00TRExjmMpJSIkZSYgCbAtqZayXq+3NjfvO3eutQTP5/P1en361KnMtA1ERGbavri7e/zYMdulFNslomVGBLBer+fz+TAMs9lsmqaIiAjbrbWW2dVqW9KFixc3Nza7rhpqra21Uso0TRGRmQCgw/0LgO1Syl/+zd9M03T+wsU3eJ3X3r106S//5m+BB91809HR8sEPuqVE7O7thSJCN15//d8+7nFnz50bhnGapmvOnL60t3/82M7BweF1115z/uLFCxcuvuxLveRqvb7lppv+6M/+bHNjo5a6HtYbi40zZ04/6clPuebM6ZtvvOme++7NzNvvvHNzY+OVX+EV/vjP/mxvf39zc3Nne/vg4GBrc/Oe+86WiHGaNhaLUuLS3t4jH/7wUydPnr9wYRiGu+6+Z2dnu9Y6DMPh0fKG667d2Ni47fY79g/2X/c1X/P2O+7c29/f2to6d+F833U3Xn/DHXfdefzYsfMXLwJbm5vnL1zoug5z7333vdarv1pE/Olf/MW111xz+tSps+fO7e8fXHvtNXfceeerv8qr1FIqDzBN06mTJ++6556z587dcP3121tbJ04cv/uee2ezvta6Xq9Xq1VE1FqHabrr7rt39/YecsuDai333nd2nMauqzfecP1Tn37r8WPHZrPZU2+9NTNvuvHGo6Ol0HK1PH7s+D333Xdh9+Lu7qWXeokXj9Ctt922Xg/XXnON7f39/VLKqZOnWpvuvOuukydOPP0Zt11z5vQ9993n9NbW5v7Bwe6lS601wVOf/vRhGG+68Yb1MNx9zz1bm1vDsL7rnnsyfXH3Ytd1mb6we3F7e/vi7kXB+QsXdy9dOn7s2JOe8tQTJ46fOnnyvrNnn3Hb7Y942MO2tjYv7e0t5vPb7rjj3vvOgs6fvzCbzfb29/q+Ozw8Wq1WO9vbOty/ANjuu+5pz3hG33UbGxuLxaJErFarvf39vu9X6/V111zTdV0pBdswjeM9991Xa+1qHcax77rler2ztQVExL1nzx4/dmy1WpVSjh879od/+qcv/pjH9H2/u7t7zZkzd99774ljx+fz2Ww2u+uee0rE9tZ2ZpvNZuthAAQt8+Lu7vXXXXf7HXdcd+21+/v7i8Wi7/uLu7vHdnY2NzbuuPOu2azf3NycpqlEOTw6fPJTn/rIhz98HMdjOzuX9vZuuP76o+Xynnvvvf7aa++5774br7/+rnvuOXPqVMustUra399vmTtbW4pYHi3n8xlw4eLFkydPnjt//sSxY/uHh1ubmwcHB9ecOVNK0eH+Be4XEZIELdN2RJRSnGlordnmAbquAzIzImyH1DIBcK1day0kwziOpZSIyMxayjhNXde11jIzM/u+x55ak5SZEQEAEqWUcZy6rpumKSJsZ2atpbVsrfV9b7u1JgkopUzTFFKU0qYpSpmmSVLXddM41q4bx7HrummaANtAKUXQMjMzImxLiojWWq01MyMiMyNiHEdAh/sXuF8pZZomQJKkzJQE2JbE/SRFhO1pmmqtrTVJtgFJgG1JPIBtLpPE/STZzsyIAADbkgDbgKSIaK1xmSTbkgzYkrhfZkaEbaQSAbTWIiIzJdmWZBvoam2ZttMOSVLXddhpT9PUdV1m2s5M21wmCQgAkNQy77rnnlJKKUXS1FpE2G6tSUpbEmC7tXbvffdd3N3d2tq65957MxMwRERrDYgIYJom26UULutqtS2ptWZ7vV7vXrpku+u6aZpsSyqlAJkpSdI0Tffce1+tNSIiwrYkSV0pQMuU1FrLzL7vbddasQ8ODi7u7vZ9PwwjkJkRYRvo+/72O+9arVYtc9b3R0dHf//4x//94x73949//K233RYRf/FXf/2M22679bbbJEmqtXIFVO7nzKc87Wn/8PjHb21ujdN47ZkzD3/oQ3/nD/5gau3k8eOz2ez8hQvz2Vxic2Nz/2D/4u6lBz/olqc87Wm33HjTuQvnX+nlX/7g8PDxT3zig2+5BXj6M267+aYbb7/jzpMnjp85dfrg8ODue+992Zd8qfU4/OVf/3Xf98ePHZumaf/g4NTJk8MwXnP69JOe+tRjO9vL1epBN9/8kFtuuffs2ePHjj3pKU/5u8f9w8729qu+4iv+2u/93g3XX3/HnXctFvO+65fLZZRYLpcbi8VisTh77tyxnWPjNB4dLa+/9trNjY0/+8u/vPGG6+87e7aWunewv7FYLBaL2+6449SJky3bSzz2sXt7e13tLu1dQhrH8ejkyXvuu+/chfObGxvXX3vt7XfeeXS0vOH66645c2Ycx+B+EZGZFy7ugjPzrnvuGcdxMZ9fd801U2u33X773ffcW2vp+x5YLBYPf+hDnnHb7dM0RYnDo6Oz585P03Tj9dffd/bcE5785M2NDex77r33/IWLT3zKk/cPDs6eO288DuPxY8fOnDp1dLS8uLt78403nT13LrO1bBcuXpDUWrvr7nsU0XVdRExturi7CxiApz391v39/WE9tNYOj46ytWvPXLOxsfGM22/PzHEcrz1zptZy/Pixvf1942maxnG6eGl3e2urlHrf2bM7W9v7B/tO7x8c1FojdOrkyWtOn067tZTYWCxKrZLms9njn/Sk06dOTdMkSYf7F7jM9jiOR8tlrXWaJknHdnaWy5VCgoPDQ0mbm5sl4u577z118mSJiFJ2L13a2dq6tLd3/NixiJC0f3AwjuOxY8faNF3a3z9x/PjFi7sbG4tZ3xu6WodhiIjMtF1KKaWcO39+a3OzZZZShmGYzWYRcdfddz/y4Q8/Wi6Pjo66Wo8fO3b3ffdtLhbDOM5ns8c/6cn3nTv7Wq/2agKD0N7B/rHtbUNrbRiG06dO3Xb7HceO7SyXy67rNhYLw2q1Ojw8PHny5Llz526+6ab1MJy/cOHk8eOllHPnz6+H4djOTlfrvWfPPvqRj3zyU596eHT0Mi/xEkerVUg63L/A/SRFhG1JtjMzJIOkiLBtOzP7vp+myTZQSmmt1VqnabItKSJCmloDaq3TNNVaW2u2bUuSZFsSYBuotbbWBAZJwDRNpZTMlBQRtltrfd+31oCQjlarWkrXdZkpCQipZQKSJE3T1Pd9ay0ibLfWIgKotU7TVGsdhgEopbTWJIWUdimltRYRrbVxHGezWWYCQPAAEZGZgO1ai22kUortaZqAaZpmfT8MA1BLAaZpKhHr9Rrous42ME5TKaWWMo5jREzTFFJE9H1vu7UmqWVmZonIzGmaJBkkRcQwDH3XAbZLhCQgItbDYLuUMozjYjbr+z4za60tMzMlARFhOzMljeMITNM0TVOtdRzHiDhaLsdpWq1WQNd1U2td10kapqmWkplAay0iFotFa40rQIf7F7gspN29va7W1jIz77jrzuPHjm1ubpZS/uTP//zFH/OYne3ti5cu3Xf27Es89rHrYViuVqvlajbrNxaLw6OlhCJOnThxcXd3a3Pz0t6+nSdPnDg8OprNZoeHRxG66557Hv2IR3Rd9/ePf/zDH/KQKGVvb+/0qVP7BwfDMJRShmG4+957b7juOtB81m9vb587f36aps2NTfCdd9/9qEc8/G//4XG1lBtvuMH2rO8v7e1dc+ZMRDzpKU+ttZw5fbqrtev7P/rTP93c2HjZl3zJP/7zP6+1zmaz/f39Y8eO3X7Hna/7mq9xeHS0XC5LradPnrzn3nvvvPvuhzzoQUBEbG5sSBqnaRzG48ePZSYAVO6niD/58784ferUcrW89777dra318N43+Med/LEiYi49+zZP/iTP7nummvvO3f2ZV/qpf7qb/92uVqN47gehtVydfr0qWE99LN+HMfdS5dOnjgxTZOkWuq5CxeO7eyUEsB6GF7isY+VdOHCxfljHvM7f/AHt99x59u+xZs/4UlPms1m99x77+Hh0YkTx3cvXQpFrfWlX/Il/vyv/spmsZjv7e2n85777pumaZqmcZye9oxbd7Z3hnF4xZd92Ut7e7ffecdyuTo8+qtHPvxhN91ww87W9tSmg6Mj23fcddfO1vZ6GJar1dbmxtlz5/q+/4u/+ZutzU2gq3X30t7B4WHf95cu7d10ww0t29NuvbWW+kav/3rzWZ9poPIAp06e3L10yc4Tx4+fPH4CceLEiWEcH/rgB9939mzf9xsbi5tuuGGapmEcs+XJEyeWq9W42Di2szNN0/XXXff0W59x6mQ5ffLUbDYrJXYvXZradPLEiZPHT6zWq8Ojo1tvu+3Bt9xSSvmbv/u7+Xx+7TVnaq0njh+fz+fPuO22a86c3tjYGMdxmqb5fCa48YYbFvP5MI7TOC02Fov5/NLe/ubG5uHRUa312M7OyRPHW2uL+TwUJ08c7/vu2M7OqZMnH/fEJ8762e6lS30/O3Xy5I3XX//kpz710Y94xJOf9rSptUUpO9vbD3/oQ++4886pte2trY2NxXq9jtDh0eF6GE6dPNl3XVerbQDQ4f4FLpO0Hoa+61prEZGZETFNU601IlprafddN45jrfUZt99+bGfn1MmTmblarWazmW3btdblatV3HWC71rperyMiIiRN09Ram/V9y1yuVlubm+thmPV9Zkoax7Hv+2Ec532/XK1qraWUtLEjAhjGse+65XK5sbHRWmutdV2XmZIi4vDwaGtrc71eR0TXdcMwtJYXdi9ec/q0JEmttVrr0XK5tbnZWgNs11oPj476ruv7fv/g4J57733QzTcDpZRhGPq+tw0AOty/wP0k2eYBJNm2LUlSZkqyXWt1ZsuUJMm2bUmAJNuSMhMopWQm95NkG4iI1pokLrMtybYk25IkZSYgiQeIiMwEJNnmfhHRMkMCMjMigBLRMrENkmxHRMsUzxYRtjOzlBIRrTXAtiTbXAE63L/A/UIyRITtkJAyU5JtSdhRYppa13XDMNRap2kC+q4bp6lEpN1a6/s+M4dhmM1mmTlO06zvMzMza622M1OSpIgAxnG03fcdKFtDAkopq9Wq67qIaG2yAUop0zTxr2FbEi8y25J4XqDD/QuApNbaPzzhCYv5/NprrrH9lKc97aEPfvCs78dxnM1my9Wqq/VouTx58uQ999x73bXXXNzdPXXyZCnlSU95Cujaa870fY/9d4973KMf+ciDg4P5fC5puVzOZrPFfLFYzM+dP9/3/cbGxmq1alO7cPFi13fTNG0sNrqurlar7e3tzGyt3XHnXcePH9ve2lquVieOHwdCurS3d+rkSUn814PK/VrL/f2DRzzsYX/+l3919vy57a2tYRz39w8Wi/n+/v7U2ubGRle71Xr98Ic+5M//6q+f9JSnvNHrve5qvb79zjuXy+Vf/s3fPORBD3qxRz/q7Llzy9WqlNKmduHixQfdfPMdd931Yo959I033PD7f/zHD3nQgw4PD2utu5cuzefzcRz39va3t7eA1trW1pbte+697/ixY/uHB8Mw2IR04w3XP+HJT94/OHj1V3rlhz30IcvVKiT+K0HlfhInThzfWCyGcTi2szObzWop11937bnz54/t7JRSTp44sZjPb7vzztVqvb29de0112xtbQERcfrUqfl8fvrUqdp18/l8Y7EIxcXVpc3NzY2NjRPHjx8eHi1ms43FYntr67bb73ill3+5xz/xSVubmxEh6dSJkxsbi67rDo+O7rzr7tOnTp48cWIcx1nf33f23MkTx++4664zp05vbW5m5vnz54/t7EytSeK/DOhw/wL3EyC11iKiZWJHBFBrWa+Hvu8yXUo5ODzc2txcr9e11hJxtFptLBbjOAK11vUwlIi+79frdSklpGEcu66znZnDON55112PfPjDV6vVbDZrrdmWFBG2I2KapoiwDdRan3brrdeeuabvu77vV6tVlIIdEfwXAx3uX+A5SbItCbDNZZJsc1lEtNYiwrahSC0zIgDbkmzbjgjbgCTbgCTbtdZpmiTZBiTZ5n6SbHO/WmtrDcjMiLAtMP/lQIf7F/ivZVsSLxrbkvhvB5X/cpJ4kUnifwIIrnpRQHDViwIqDyCJq56HbaACtksph0dH3/cDP7BarSMCzFUoM+fz2Xu+27ttbGzocP8C9xuGgQcwiP86BvE/Ud/3QOUB5rMZEmAbiAjbXGEjcZltQBLPj21AErZBEmBbkm1JPJttJNkOCSkzJfE8bEviRWZbEvezDUiyLYlnMsi2JO5nWxKX2ZaEnTagw/0LPI+IAA4PD7uui4iIkDS1FhJSSNiGzIwInpMkSa21kAy2gYjIzIiw3VqTFBFASGlLGsaxtba5sTFNU2aWUgDbtiNCUmYCkngA25kZEbYjwnY6hSLCdmaWUjKzlgJKZ0gtMyJsA5kZEbYl2bZdSrFtGyilZCZXQOU5SWqt/c0//P2J4yfW6/XpUycvXdqLEq3lYj7vat0/PFjM55mepsn2Q265pWVyme1a6zNuvx1omaXE8Z1jku68++7jOzuHy6PFfFFr2dvfP3n8xJlTp/cP9u+6954Tx08c295+xu23nTp58t6z9x3b3jl/8eKxnZ29/f1j29tTm/YPDuaz+Wq9vumGGxbzuW0ukzQMw2133rmxsXA6IiJitVptb21de801l/b27r73no3Fhu3lapWZrbXtra1hHLtaD4+ONjc2ImI+n584dkxSZt5+552z2ezw6OjE8eOr1arWOp/NThw/3loDgueRmbN+5kzbi/l8e3vb6cy0nc6j5Wq1Hvb298dpykwk82yC9TCs1utxHKepXbh4cbVej9M4jOPU2sHh4XK1PrZzbDabIZar1cHh4cHBwYXdXRvMpb39cRxPHDsmGIZ12plumS3bOI3iOdiutR7b2cG01iJiuVptb28v5vPM7Lvu2M5OZk7T1HedpL7vt7e2VqvV1KZ0jtOEODg42Nvfj4jMXA/rzFwPw3q9btkuXLx48dIlSbYBHe5f4DnZlmR7PQx91wGSgPV63ff94dFRrbWrVRHTOM5mM56TbUnjOJZShmEopQC11qm1kIxLFEBSZkqaWmutlVKc2XWdbS5rrUmaWpvPZpk5TlMtpZTCc8pM21NrJQIopQCSbNu2PU3TbDazLSkilqtV33VAay1tQWbO5/PW2nq9ns1mmZlOTKkVu5QCADrcv8D9QkLifpJsc7+Q0o4I24BtSbZ5fiTZDskA2JaEDZjLbCRAksAA2OZ+krCRbAOSbNuWxPOQxGW2eU6SbAOA7YiwDUjifpkpKSIyUxKX2QZs2wYq9zOs1msAMJfZkrjMgI2EDUIA2JJ4TgaBAcBGAgTmmcSzGQAM4grxTOYygwCwJfH8GLCRAPEcDNiSDALARsI8BwFgG4krDAIQ9H0PVACQNI3jk5/ylNYaCMxVyHat5dGPelStVYf7F7hfrZWrnsc0TUDlAcZxBIDMBCKCfz3bgCTbkgAgMyMCsA1I4j+IbUk8QNoCSYBtJPHvIgmoPIAkANja3LR9tFxKMmADkmxLksQLYLvv+5BaZi1ltV5Lioj5fL5er23PZjOgtZaZ/EdYLBar1SoigMwENubzaZqmaSql1Fpba601/p1Ah/sXeE4R8ff/8A+llJd+yZdsmZJCQhqGodaKvVqvJfE8bNdaz549d7Q8Onbs2Pnz5x/20Idm5sHh4V133fXwhz2s1nr7HXfUUnZ2djY2NjKTf7cnPfnJD3/Yw4ZhaK1tbW0BT3nqU0+fOnXm9OkLFy9euHjxxPHj29vb/DtB5TlJaq39wA/98Ou+zms/5alPG8ex7/uDg/3jx4/fcvMtd9x5x/7+/lu9xVtI4vkpEXv7e0984pNe7mVf5q//5m8e/ahHRa1/8md/9rjHP35zc/Phj3jU3/zN395x153v/R7vAdiWxL9DRPzD4x5/4sSJv/yrv3rxx77YmWtvuPP2W//wj/7oQQ960Bu/8Rtf2tv7kR/78bd6izc/derUer2WxL8ZBM/DdqlluVzuXtqVtL+//yd/9udPv/XWX/7VX/nN3/rtxWJja3urtcbzklrmsWPHLu3tdV23Xg/nzp9/xq23dl0HSCKnl3yJl9jb23/6rbd2XWebf4e0u67b2Fjceusz7rnn3qc+7Wl333nbcrWKUiKijeP111130003/vXf/C3/fqDD/Qs8p5Ce+KQnt8wbrr/OsFgs7rjjjmuvueb2O+7Y3Nw8dfLk1tZWa00Sz8l2rfXee++95777Tp86tbu7u7Gxsb+//5hHP/rWZzzjoQ95iODg6Gh/f39jY+PE8eNTa+LfTlJr7R8e97jrrrvumjNn9vb2/uHxj3+Fl3u5O++668TxEydOHD88PDw6Olqv1zfccENm8u8BOty/wPPo+x4YxzEigIiw3c9m4zBM0zRNkyQuiwgewHbXdV3XTeNYu269XkdEa63v+/V6DUREKSUzp2mSxL/bYrEYx3GaphKhiNZa13WttWmaIqKUImkcR/6dQIf7F3ge8/k8ImwfHR0Nw3DixIm9vb3Do6Mzp09LKqVkJiA4Wi4l8QC2bUuyHRG2JaUdEpfZBiTxHyEzJUmyDUiyDUgCbAOS+HcCHe5f4Hn80R//yaW9vQc/6JYLFy8eHh4+6JZbfvGXf+UlX+LFT58+XaJcuHDh1KmTrbXMfPmXe7lhGCTxfxtUnlNEHB4d/c7v/V7XdX/7d3935113XnPNNX/1N38zjuPf/O3fLpfLO+6888Ue+9hhGJ74pCc/5tGPermXfVn+P4DKc7Ld1fq2b/PWs77PzLNnz+7s7KzW692Lu9dee819952ttd58802Yu++5e+fYMUn8fwA63L/A81jM5y3TdimltRYRpZQ2TaUUIsZhALq+d+bR0ZEk/s8DHe5f4DlFxP7+/mw2m8/nmQl0XbdarUoptlfr9WI+t71/cJCtHT9+PDP5Pw8qzyntGvF7f/AHf/t3f/eGr//6f/jHf/wmb/RGT3jiEx/+sIf9zu/+3hu+wev/8q/+2s7O9u7upQfdcvPe/v6bvfGbHDu201rj/zaoPKeQVqvVpUuXZrP5t3/Xd9Vaj5bLYRjuvueeP/yTP44S99537/bW5tOe/rSXf9mXOTpanjt/7vSpk9M0SeL/MNDh/gUeIO35bPZTP/Mzi8Xi6Gi5ubmBue/sfbXWRz7iEU9/xjOO7+y88Ru/8Xd/z/ceP35suVy+4eu//ubmZmbyfxvocP8Cz0lSa62UslgsWmtAZpZSBAZnrtbr2Wy2Xq9bZt91mcn/eaDD/Qs8PwZn8jwkScrMiJCUmZL4Pw8qDyCJ+wkohReglMJlEcH/dbaBygMM44jNVQ8kdbUCwVUvCqg8QN91XPU8bAOVB7DN/WxLykzuJwmwLUkSL4BtHkCSbdsRAdi2HRH8B7EtybYkLrMNSLJtW5Ik/p2g8vwIFGF7Pp+HZIiI1WrV1RqljOM4TZMknp9aqyQBUmuttdZ1XUQMwwDMZjNgGAb+I9ju+34Yhr7vx3EEJNVagXEca61d1w3DkJn8O0H5tE/9JJ6TpJY5tbaYz3/zt3/7L//6by7tXfqFX/qll33pl/7Tv/iLv/v7v6+1HtvZ4XnYns1mf/03f/P7f/iHq/X6b//u76699trtra2nPe3pf/pnf/bIRzy8lPK7v/f7t99+x6mTJ2ezWWZK4t/K9nw2+6u/+dszZ04//glP2NrcnM/nB4eHP/+Lv3jh4sVHPfrRtz796b/ze7+/ubm5vb3NvxMEzykzF4vFz/zcz33zt35rrfW6a6+99957//qv/6bW+ud/8Rc33XDDU576tL/66785Wi4jwjYPIGkcx4c/7GG1djffeOMwDM4sEcePH1+t12lLKrX8/h/+YWtNEv8Otruuu+/sud/9/d/7kz/7s9/+nd99+q239n2/vbV18003l1KAre3tf3jc42677ba+723z7wHBc5I0TdPGxsaJ4yeI+IM/+qP5fPaIRzz8woULD37wg6+77tpXf9VXPXfu3NOe9rTZbGabB7BdSjk8Onr4wx56731n9/b31+vhD//4T4zvufeeg4MD2w++5UHXXXvtHXfe2XWdbf59JG684Yb1en3DDTdM0/S7v/d76/Ua/JhHP3pYrTYWi5d96Ze++557Wmv8O4EO9y/wPGzbltRaa63NZrNpmhaL+dHRsu97SbZt8/zYLqUMw2A42N+fWjt96tRytZrPZhGRmbXWzOTfzXatdbVabSwWy9Wq67pn3HbbzTfdJEmS7cystdq2zb8T6HD/As/PbDZbr9dARGSmpNZa3/ettdZaKcU2L5gkSZIkTdMUEbZt8x/KdkRkZkTY7rtuGEf+M0DwPCR1tf7d3/+97VKKbS7b3Ny87fbb9w8ONjc3p2mSxAtmOzOnaRrHEchM2/xHk2Rbkm1gPQz8J4HKc5I0TdOP/viP/83f/t2rveqrbm5uvMSLvdgv/PIvl4hxmubz+azvd3cvvfu7vgsvAkn8F5LEfxIInpOkaZruvufeM2dOP+WpT/mjP/7jtG+77fY777ob+4brr7/n3ntvu+P2iOD/FdDh/gUewHbXdWfPnWutzWez1Wp14sSJn/uFX3zt13rNrc3NaZrGcez7XtJsNrPN/xOgw/0LPCfbpZSQopTW2jAM29vb4zhO0yRJkm3btvn/A4LnIWk2myHdd999fddt7+zcedddy+XSdmZO09Ras83/K1B5HrZ/8qd/ppS4+557HvuYx9x3333nL1x427d6q2PHjrXWJPH/EFSeUyll99Klu+6662h5dPbcuSc9+cld7U6fPhUR/H8GOty/wANIGsfx0t5eRNx3332nT506d/788WPHT5062XWdbf5/Ah3uX+A5SSqlALWWaWq11tbaNE22+X8LdLh/gedhG7AtybYkSfx/BpUHkAQAkrjqfraBygOs12uueh593wOVByilGATmKgQGcRlUHqDWygPYBiTx/5ttoPIAtrlfZnZdB0zTJMk2DyCJF8C2JNuSAEmZKcm2JNuS+A9iW5JtSYAk27Yl8R8LguchSdJ8Pt+9dOnSpUtdV4Faynw+LxHz+bzWCkji+SmlSCqlALZba7VWSX3fA7VW2/wHKaVIKqVw2TRNQK01M23zHwjKp33qJ/GcbH/P933/M257xl/8xV9eurR3yy23fP8P/qDtcZr6vr/7nnvuvfe+P/mzP3vMox/dWpPE/WzPZrN/eNzj/vCP//jmm27a3t7+u7//h9/63d/Z29//y7/+68ODw7/4q7+85sw1W5sbLVMS/z4RsVwuf+GXftn2zTfdtLu7+3O/8Aur1aq1lvav/+ZvDsP44FtuGYZBEv9OUHlOklprj3/iE/quf7u3fZuHPeQhT3ziE4V+/Td/cz6br9briDhx4niJsr+/v7GxkZncz7aku++5Z3f30qW9vePHjz/84Q+77+x92fLpT7/12jPX3PqMZ7zCy7+8Ivh3s9119Y47L1zau3TPPff6JX38+PFHPvKR4zD80q/+6iu+wivceOONFy9ekMR/CKg8j8x8vdd5ndbyxR/72O1jJ86fv5DOl3uZl737nntOnTr5+Cc84b777nv4wx42n88zkweQZPv6664fhmG9Xv/xn/zJYx796OuuvXZ7a/ue++595CMe3vf9jTdcPwyDJP59JI3jdOrkyePHjt98802/8Zu/9Yqv+AqCF3vsY/u+Pzw8bK2dPHlyak0S/36gw/0LPI/ZbGZ7uVxGhKQLFy/eeP3162Houu63fvt3Tpw4/uAHPWhzc7O1JonnFBERsbe/P43jiRMnANuA7VLKNE38x4kIALjvvvtOnz5dSrHd931mrtfrruumaeI/BOhw/wLPwzYgictqrcMwSAI2Fou0x3FsmeL5sA2UUiRN0wQAkgDbkvhPUGudpsm2pMyUJMm2JP5DgA73L/CvkZmSJPH/ClQewLZt/iW2bfP/gyRJQOV+todhMIirnskg6PteUuV+kubzOVc9D9tA5QFsA0BmAhEB2AYk8aKxbTsiANu2JdmWZDsi+A+VmZIkAZkpictsS5LEfwioPD+bm5u2l8ul7a7rJI3jaAiJF8p2rbWrdbVe26611lqnaaq1ZmZErNdr/kNtLBbjNE3TJGljY2MYBsD2bDYbhiEz+Q8BwfMI6Q//+I//+m/+puu6xWJx6dKlO+68MyLms1lE2OYFsF1rPX/+/F/9zd8CpZTzFy78/T/8w/nzF/7hcY+7/fbb//Kv/or/UJL+6m/+5vyFC6UU23/113+zv7+/v7+/Hoa//pu/OTg4iAj+Q0DlOUkap+mnf/ZnF/PFPffee9fdd991110PuuWWxWKxXq/f8s3ffDabZSbPj+1a698/7nFPe9rTT58+9aAHP+Iffv8PnvSUJx8/dny1WkUoSnnUIx/ZdZ1t/n1sz/r+zrvu+rO/+IuHPPjBb/RGb37bM57yB3/0h3fcecu5c+de6zVe4xm33ba9tX3ixInVaiWJfycInoft7a2t7e3tv/+Hx/3Zn//FyZMnz50//4QnPenWZzxj99KlUoptXrBaSu3qarV62lOf8JIv8eKLxeK1X/M1Simv8eqvPo7j+fPnu66zzb+boZQitJjPn/iEvzt54sQtN928sbGR6dvvvLPv+3vP3hcR/IcAHe5f4Dm11tbrNXDf2bOLxSIibNdS9g8OHv6whw3DIIkXICIODg4ODw/TPn/+wku+xIsfHh7OZrNxHFtr995334Mf9CDb/AeJiNvvuOPUyZN/9w//8HIv8zLr9Xp7e/v222/f2Tl29z33bG9t3nDDDdM0SeLfCXS4f4HnJMk20HWdAGmaplprrXV/f18Sl0UEz09E1FKmNpVSx3GMUKYlSeq6br1e8x+q7/tpmkop0zRJaq3NZrM2TV3XtcxhGCTx7wc63L/A81gsFopw5uHh4Xq9PnX69IXz55fL5XXXXReSIjJzuVxK4vmxLcm2JNuSuMy2JP5D2ZZkW5JtSba5nyT+Q4AO9y/wPH77d3/30qW9hzz4QRcuXjw6Orrl5pt/+dd+7aVf4iVPnDwh6eLFi8eOHXvVV3ql9TBI4v8DqDyniDg8PPzTP/vz2ax/0lOefPvtd1x/3XX/8LjHjdP0t3//90fLozvvvOvFX+zFIuJlX/qlI4L/J0CH+xd4AEnjNN1x+x1d39k+f/781tbWer3e3d299tpr7zt7tuu6G66/vrV24w03RAT/T4AO9y/wPGazWWZm5mw2m8YRqdY6jmOtVTBOk2AYR/7/gOB5SNrf3x+GYTabXbx4cWpN0v7+PvY0jvsHB8MwrIeB/1eg8pwyc7FY/Nwv/MKjHvnItPf29v7hcY97jVd7taffeuvDHvrQUspDH/KQcRwl8f8K6HD/As9pau1HfvTHDg4Pbrj++jvuvPO+s2c3Fov1ejh//vz111//yR//cWnz/w1UnpPtxXy+tbV17TXXKPSyL/My99xzT631mjNn7jt77vixY6WUNo6S+H8FdLh/gecUEUdHR7PZfDbrAYEBiIjW2jiO/D8EleeRmSdOnHDmcrXq+z5tSZLW6/U0TaUU/h+CynOyPZvNfubnfu7S3t67vfM7/8qv/drh4eEjHv7w3/3933/Ht3u7a6+5ZrlaSeL/GwieU631vrNn77zrrsODwzvuvPO++87+4R//yY/+xE9cf931P/kzP/MHf/TH/P8EwXNqrZ06eXJ7a8v4rrvvPnnyxEMe/OA3fP3Xf+rTnvq6r/3aL/syL83/T6DD/Qs8p4hordl+6tOe9tCHPKSU0nXdcrlcLBbTNNnm/yHQ4f4FnpPtza2t9Wo1W2y2cV1qHdZrScMwSOL/J9Dh/gWeUynlt3/3d1/yxV/81mc8Y2Nj48477zpx4sQwDq/2Kq+yWq0igv+HIHhOafd9//f/8Lh77zs7jOO3fed3Xtzd/au//usnPPGJ6/U6Ivj/CYLn5EyV8rIv89J33X3X8WPHHvmIR1y8eHGxmPddX0qxzf9PoMP9Czwn25L+6m/+5prTp2+55Za7776n77v1en3jjTeO4yiJ/4dAh/sXeB6Suq5mepqmrusyU9I4jpL4/wkqz4/t9XoAJA3DwGWS+H8LKg8giftJ4jJJ/P9mG6jcz/Z6vbaNxFVX2JL6vpdUuZ+kvu+56nlIAioPIIn/HLYlcZltSfyHMohnsi2J/1gQPA/bkvquy8yu6ySVUmqttnkRREQpRVKtlctKKbO+lwTYnvU9kJm2M9N2Ztq2DWSm7czkRVNrldTVGhGAYNb3pRT+Y0HwnGzXWsdxfMbtt28sFnfeeWdr7eLFi2fPnZvNZrZ5oSLi6Oho99KlYRjOnz8fEZL29vZuv/POqTWg1vq0W2+dpmlra6vruo2Njb7vNzc3+r6vtQKbm5td121ubPCiOXv27DhNZ8+ePTo6ktQyb7vjjv39fUn8B4LyaZ/6STyAJOCHf/TH7r33vjvuvPNP/vTPnvb0p/35X/zlPzzu8SeOHb/uumunaZLE82O71nrXXXf//h/8YSnlz/7iL649c+bkqVNPf/rTf/03f/O6a6+99rrr7rzjjsc9/vHXX3/9X/7lX/Vd94QnPnEcx7/9u7/fWCx+5dd+fWrTvffe21r727//+2uvvbaUwgsWEcMw/MEf/dHh0dFf/fVfAw9+6MP29/Z+53d/99777nuxxz52GAZJ/IeAynOKiIODg7Pnzr3bO7/zj//UT774i73Y3/7d30vccP0NT3/GrY998Rf3cimJF6yf9bNZf/LkyVrK5ubm+XPnHvbQhz7t6bdee8012dre/v511177lKc8ZffS7t8/7vDue+6RNOv7pz396aWUxz/+CcbXnDnzN3/7dzfeeOMtN988DIMknp/MnM/nodjc2LzxhhsPDg8P9i7t7Ow85MEP3t7edqYk/qNA+bRP/SQeIDO3t7a6vv/zv/jzt3rLt/yrv/mbV3yFl9/c3Fyv12/4+q/fpkkSL1jf9095ylNtA63lbD576tOeds0119Rar73mmmEYtre2nvLUp958883L1ephD31oRLzYYx970003XXvNNZIe++hH1Vpf7DGPkXTjjTdsbGxkpiSen4hYrlZPfNKTbrrpxr39/Yc/9KF/8Zd/de2116zX61tuvtn8hwId7l/gOdleLBZR63q5nC0W0zCEFLUeHR7alpSZkiTxPGzPZjNB2rWU/YODiKi1RkRrDZCwAWaz2TRNtZSWaTsiIqK1ViLGaeq6bhzHaZok8YJJWiwW6/W6q3WcptVq1fd9rXWaJtv8BwId7l/gOUlqrQEbGxv7+/sbGxvY4zTVWgXjNG1sba2OjlprkngekmxLsi3JdkRk5mq1ilLms1lmApkpybYkLrMtybYk25Ik8S/JTEm2JUWEbduS+I8FOty/wANk5mKx+Llf+IVHP+pRks5fuPDkJz/l1V/tVZ/6tKc94uEPr7WePnXqt37nd2qpr/1arzmOoyTuZ3s+n//t3/3d3ffc8/CHPvRv//4f3vot3tzwt3/3d0+/9dZHPPzhd9119+u97uuM4yiJ/12g8pwi4ujo6OzZc7ffcceZ02fuufeeu+66+/Y7bl+t1j/zcz9/4w03fMD7vs8P/ciPvu5rv3atdRgGSdxP0jSON9xwwzOecds111xj/70BiIgnPunJr/Fqr3bHnXceHR3NZjPb/O8CledkezabzeeznZ3tvu8f8fCHb29v11JPnTp17333Xnvmmr7vX/u1XjOzTdMkiQewHaXsXry4u3fprrvvXi6Pnvb0p99zz72v9IqvsFqtx3HMzK2trfV6LYn/XUCH+xd4ANu11gsXL25ubNRa+7633Vqrtdoex1FS3/el1qPDQ54f2xHRWuv7/tKlS2nvbG93Xbe7e2k267uuy0z+1wEd7l/gOdne3N52a5m5XC6BjY2NzARKKavVynZrrZTCC2W7lCKptWa7lGLbNv8bgQ73L/CcIuJXf/3Xa63nz194q7d4852dnZ/+2Z89trNTSjl/4ULXdS/5Ei9x/bXXDuMoiX+JbUn8bweV55SZ8/n84sWLd919d9/P/vTP/3zWz6695po/+pM/WSwWW1tb99x9zzVnztxy883rYZDEv0QS/wdA8Dwi4hEPf/ijHvnIWst8Pn/5l3vZX/uN37z5ppuPHz9+eHB44uSJjY2NzJTE/x+gw/0LPA/brbXlanXq5Mlpmi5duhQRs9lsam25XB7b2YkI/l8BHe5f4PmRFBHTNEkqpQCZKUlSa43/b6DyAthurUkCpmmSBNi2LYn/b6DyIpDE/STx/xBU7md7GAbbXPUAkvq+l1S5n6TZbMZVzxdUnh/bPCdJvMhsS+Iy25JsS7Itif9QtiVxmW1JtrmfJP5DQOX5mc/nrTUgIlprfd8vl0teNBEREeM0CSR1XTdNU9d1rbVa6zAM/Ifq+36aJttA3/fZWtd1U2uSMrO1xn8I0OH+BZ5TRDzjttu2trZsD8OwsbFx5513vthjH2vbNi9URBwcHKxWq9OnT2fmMAy7ly6dPHHi4u7u5sbG7u7uTTfdlJn8x7nv7NmTJ0/WUiLi3nvv3djcvPfee48dOzaO49bW1s72dmby7weV5yRpHMcf+tEfDYVxV2spZWNj44477nzLt3jzw8PDiOAFsF1rvevuux/3uMe/4zu8fYT+7M///NZnPGNra/vCxQsv+eIvfuszntF13Q033DAMgyT+I/z27/zu67zWaz7oIQ+9847bf+03f/OmG29sre3uXrpw8cLrv+7rnjh+vLUmiX8nCJ6fg4ODV3mlV+pqt7e3X2s9c/r0hYsXJfFCSWqtXXvNNVNr+/v7Z8+eay2HYbz+umsxm5ubU2snTp6cpkkS/26ZuVgsThw/fmlv/9LFC0eHR9M4bW5uXnvNNS/1ki/x8Ic+7MlPeUopxTb/flB5ft7nPd/zxR772Ac/+EEl4s677r7v7H2v97qvu16vJfGC2ZZ0cHBw/fXX3XHnnZf29l76pV5ysZg/5tGPfthDH7q3v3/m9GnxH6aUcnR0tNhY9H33J3/2Z6/48i//si/z0jfccMMwDNdec83R0fLM6dPTNEni3w90uH+B57GxsXFwcFBr7bsuuo7MaZpWqxUQEbxgtruu62f90eGRpIjoum69XksqpXRdPTpa8h9qY2NjGIZpmiKi77pxmiRN0zSbzVpr4zhK4t8PdLh/gQew3XXdnXfdderkyZ2dnTvvvDMirr32mvvuO3vNNddE6OhoyQtl23ZEALZtR4RtwHZE8B8qMyVJAjJTEiApMyVJ4j8EVJ6f3/6d373llpunaVqv13/113/98i/3cvfed981p890ffc6r/Va4zhK4gWQJAkAJEkCJAGS+I8WEdwvIrhfRPAfCCrPSdJ6vR7H8S//6q9uufnm226/fRynP/2zP0/nH/7RHz/ollte89VfXRL/30DlOWXmYrF40C23nDhxfBynl32Zl7n33vtKiWuvvfbSpUu11lLKOI6S+H8FdLh/gedRa42IUkprrXZdtmYbsL1eryXx/w1UnpOhlrJaraZp2tzcHIZhuLS3tbVxeHi0sbFhWxL/D0HlOQky88d/8qf2D/bf773f+6d+5mcv7V160C0P+pM//dP3fs/3OH369Kzv+X8IgudUStm9dGm5XNZS77333gg95SlP/ft/+Pv9g/2//4d/+Id/+IeIsM3/N1B5TtM0nTl9+qEPfcj+/sEzbrvtphtv3N7efvCDHvQ3f/u3r/SKr3jD9dcfHh5K4v8b0OH+BZ7HbNaH4s677772mmsiIjNrreM4roehRPD/EOhw/wLPY9b362GYz+fTNHHZMAxpd7Xa5v8hqDwnQ1frd3zP97zua72W4Wd//hde97Vf62/+9u9Onjwp8WZv8iZHR0cRwf83UHlOzuznc0lHy+XTnn7rsZ2dJzzxSZubG7ffcfvW5tZ6vZbE/0MQPA+36WVf+qWf/JSnbm1t7u3v3XTjjZcu7e1s7+xsb/d9b5v/h0CH+xd4Tpm5WCye+rSnnTp1amtzMyLGcczMaZrm83lm8v8Q6HD/As/Ddt/3rbXWGiAJkGSb/5+g8vxIGoZBkiTuZ5v/t6DyALZ5ANtcBZKAyv1sD8NgG4mrrrAl9X0vqXI/SfP5nKueh22g8gC2ASAzuZ8k2xHBv4Zt2xEB2OYy2xFhWxL/oTJTkiQgMyXZlmRbkiT+naDy/GxubmYmWIrWWtd1y+XSNi8a27XWWut6vbZday2lTNPUd91ytepqnVrjP4htSYvFYpqmaZokLRaLaZpKKZlZSxmnaZomSfx7gA73L/CcIuJv/u7vdra3ba/X652dnbvvvufFX+yxs9nMNv+SiOj7/uy5c/fee+/DH/awiLh48eLupUvXXnPNbbff/mKPfcx99509duxYRPAfoe/71toTnvjE6667bmd7G3jKU5965vTpCxcvbm9vnzt3/tprzpw6dWqaJkn8m0HlOUkahuFnf+7nSilTa7XUvu/vvuee93i3d33lV3zFg4ODiOAFi4j9/f1hHJ/4xCc96clPOnbs2IMe/LC92257/OOfcPHixb9/3OOOjo7uve/sG7ze60rY/Pvdfc89h4eHf/Knf/aQBz/4Dd7wTW+/7al/9Md/ctNNNz7hiU987GMec/zYsb/+2799kzd6o3EcJfFvBsHzkIT0Vm/xFmdOnymlbGws+q47OjxE4oWyLWmcpv39fYVKKavV6hlPf8rJkycPj44Oj466rrtw8eJTn/a0e++7r+t62/y77e/vT9MkqevqHbc9db1e11ra1GazWShufcZtN1x/fWtNEv8eoMP9CzyApNba7qVLN91ww9333FNrvefee5er1cMf9rDFfG6bF8p2KWU+m9137tzepUullLPnzz/sIQ950pOf/KAHPWh3d/eRj3jExd3dWspischM/t1ms1lr7clPecp11177t3/3dy//ci935113nTxx4tLe3nw2u+fee6+99tprzpxprUni3wx0uH+B5zGbzZbLZUR0XVdrzczW2jAMQETwL8nMWmutdRzHUortvu+HYai1rlarUgp22vxHsA3M5/NxHCOitdZ1XWutlJKZXdeN4zhNE/9OoMP9CzyA7VrrhQsXtre3t3a277vn3q7rjh87dnF39/jx45KOjo4k8S+xDUiyDdiWBEiyLYn/ULYl2ZZkm/vZliSJfyeoPI8S8Wu/8ZsPe+hDp2lcrlZ/9dd/8yqv/Ep33nXXTTfcUGv3Ci//cuM4SuKFksRlkgBJ3E8S/9EkAZIASdxPEv8hoPKcJC1Xq9V69Yd//Me33HzTM267fX9//zd/+7fb1H7zt37rlptvftmXeWlJ/H8DleeUmYvF4rprrn3UIx45tenRj3rUPffeW0q57tprL1y4OJ/PSynjOEri/xXQ4f4FnpOkzCylzGezlhkRQGYCgmEcbdvm/xWoPI/MnM/nkpar1TRNtVZgnKbFbLZarw+Pjhbz+azv0+b/D6g8J9t93z/u8Y/PzP39/d/5vd973/d6rzvvuuu3f/d3H/2oRz3+CU942Zd5mYODg7d6i7c4ODiICP6fgMpzst113e/+/u+fO3f+QQ+65dSpU0956lPvve/sNWfOPPGJT9rc2Lz77rsz3Vrj/xWoPKeIWK/Xr/Yqr2IzDOu//Ou/Xq3WJ04cv+/sfW/w+q/3+Cc8AThz+nRE8P8K6HD/As9jNpsJWmbX97fddtuJ48e3tramaQJaa621iLDN/x+gw/0LPI/MBCTZ7vu+Ta1lkwRI4v8hqDw/EQEAksZxlBQR/H8GlX+JJK6C4KoXBQRXvSgguOpFAcFVLwoIrnpRQHDViwKCq14UEFz1ooDgqhcFVB7ANlddJokHgsoDzGYzrrpsHEfbPAtU7peZt99+e9r8vxfSmTNnSim2uQIqAETEarX65V/9tfV6rQgw/0/Jmf2sf6d3eIfNjY3MlAQAOty/wGWSFosFEjb/n0nYy+XSNs8ClfvZPjg4sA2WAtsACJD4fyYieCCoPECAFgskL5d0nWpFojVPE//PQeVZbG1sjM+41et1/8hH5d7edP6816vY2Smnz5DJ/2dQuSIztrYOfvEXDn76J5E23/CNKXHwMz/VP+ox3YMfsv0O7+jVCon/t6DyLBGHv/xLxz7gg7qbbzn/JV84e/RjYudYvfGm+Su9Mpn8PwfB/dyaaiknT8axY5K6hz188SqvGov5xS//EiT+n4PKFbZKFydOHvzcz5bTZzRftHPn2oXz3YMfahvE/3Ogw/0LADa15t7e3g9+v48Od97tPePYzqXv/q7c39t5l3frbnmQhwGJ/7dAh/sXuMKm1lhsgbw6cGZsbIO8PvQwIPH/Gehw/wLPYpMJEIFEawARSPw/B5UHkiiFZymFq66AygNkJiApMyVxP9uSbEsCIiIzAduSIiIzbUvi+bEtiftJysxSSmstImwbxHOwLUmSpNaaJO4XEZkZEbZtcz/bkgCDICL4DwSV+9ne2t5u05SZ3azPcYpasW2r1JzGiJimqZSyWq0Wi0UpBUA6PDjY3NxU6dxG21HC6cyMCEASEWRmZpTi1sZp6ueL1eHBxrHj07CuXQc4MzNLrUCbptJ1bRxba5m5sbk5DkPX98505mq93tjYGIZBUtd1EYGUrUWtbRgiQhGttWEYbPMfBXS4fwGwvbFYfMXXfO1jHv2oUydP/uZv/87rv+7r/NCP/OjLv/zLnTt37tZbn/HiL/bYe+6999prr62lvukbv9Gf/Omf3Xn3XXfddfdLvPiLv/3bvs03fPM3P/FJT37bt36r++6779KlvXvuu/fFHvPYs+fOHhwcXHPmzF/9zd9cd+21D3nwQ+68684brr/+xV/sxX7gh374oz7iw7/267/hNV/j1f/gj/4oW950440v+zIv/Zu//TullFd7lVf+td/4zVd+xVc8c+b0ddde+/Xf9M2PefSj777nnhtvuH5zc/MNXu/1fvlXf/VVX+VVLly4cMcdd9xz331PevKT3/xN3uSXf/XXXvPVX/38hQtPv/XWjY3FO7392x87dmyaJkn8+0HwLNKf/+Vf/N4f/MEf/fGf/P4f/MH3/eAPvs97vedf/fVfX3fddV3XPfzhD//jP/nTm2648c/+4s+HcfyLv/6r3/m939vY2Pjt3/0dlfl6vX7kwx/+m7/1WweHh3/513+1u7s7m/V/+Vd/fXBw+KhHPcr2y7/syz3u8Y//wz/649//gz/8wz/+4z//y7/4q7/+6yc/5SkXL+4+9MEPOX361Pb21pd+xVc+6hGPuOWWm7/1O77zL//6r3/+F3/xvvvOnjt//q//9m+uu+7axz3+8b/ya7/+O7/3eyXiT//sz1fL1eHh4Xd+z/eePXv21V/1Vf/sL/7yj//kT37tN379D//4j/7u7//u9KlTfd9npiT+Q0Bwv2EYHvygB+3uXnryU57y6Ec96uhoefLkyb7rrjl9+tSpk6dPnUKaz2ellHvvvXcap1nf33fffbPZDKi1Hjt+bLlcvce7vuujH/WoaZpKKa/8iq9w4eKF/f3966699tprrwGuu+5a23/+F3/5si/9Mr/8K7+6Hoa/+Mu/3NnZufaaa3d2doZh2Nre2t7aWq1WL/1SL/n3j3tcqcV2rdX2TTfesLFYPO3pT58vFsYXd3eXq1Vm1lr/+m/+9u/+/u9e4eVf/qlPe/o4jrXWrusl8R8Iyqd96idxme39/YPNjY2t7a2XfZmXfuxjHvOd3/XdL/eyL/NyL/MyFy9efPjDHvaEJz2x7/qXesmX+OEf/bGXe9mXeeQjHvlO7/gOe3v7L/Fij/7DP/rjP/+Lv3jt13qtl3ypl7vzztvuvueeYzvHzl+4ME3tNV/j1Ver1S233LJara+95poz15zp+/7FHvuYqU0f+kEfNLVpY7G47tpra60v+RIv/id/9mf33HPPm7zRG11/3XWHR4ev8HIvd+b06cc/4YmllGvOXPPwhz304PDoTd7kjW97xjN+7dd/4+Dg4A1e9/V2L+1euHDhQbfc8jIv9dKtTTfdcON8Pl8tV49+1CM3NjYyUxL/fqDD/Qvcr+/7iBBMrdVap3GsXbder2ut0zR1XbdarRaLxTRNtVZnrtbr+Xy+Wq9nfV9KkXRwcDCfz1trkmop4ziWWm231mqtEqCIaG0qUdKWaFMzYNeuy0yBIlprXdet12vbXa3rYej7XlIp5fDwcD6fZyZQIgyttb7rxmmqtdrOzHEcAdv8RwEd7l/gfrZtA5JsS7KtCGxJmRkRmSnJNlJIaYdk2zYQEba5zLYkAJBkG7ANSLItySCeybYkwLYk25IkZaYkwIAdEbYBwDaSwLYk2wAgSRL/gUCH+xe46l8EwVUvCgiuelFA8Jxs8wC2bQO2Adu2ucw2YNu2bcC2wTb3sw0AtgHbgG3bgG0us23btm3bXGYbsM39bAO2Adu2bQO2bQO2bdsGbBsMtrnMNg9gG7DN/Wzb5vmCygOEFKVMrUkCbHddJ5haq6WkLSmkzEy7lGI7QlJk5jRNfd+31iQybTsiJGVmZnZdl5mSbEsCbEvKTKCUUkuZWrNdS5laa631fT9NU9d10zTZllRKycxSSmaWiIhAGoah6zogMyUBpZTVat11FbAdEeM4llIkAdgtMzNnfZ92REzTBGRmKQXITJ4X6HD/AmC77/u777nnGbff/kov93KHR0el1pB2L12yffz48f39/dls1lpbrdcb8/lsNjtaLrtah3E8f+HCzvb2Dddf/+SnPnUcxxuvv76Ukpl33n33tWfO9H2/WCzuO3t2Pp9P09TV2jJt9103jONiPgee9oxnjMN4y0031a6eO3duuV7fdP31q/X62M7Ohd3dE8ePz/p+b2/vyU972vXXXbe9udl13TiO+4eHFy9ePHXqVN914zTtbG2N45j27XfeeerkyY3FQlJEDMNw+tSpvf39EvHUp9962x13bG1uvsSLPVbS4eHR+YsXXvrFX/yOu+6S4tSpk+vVant7OzN5LlABwHaJeNJTnnrbHXcsFgvbWxubW1ubf/Rnf7aYL7quzmez9TAsVyvsjY2Nvf19Z25sbPRdf+/Zs6/1aq966zNue+rTn75arf/m7//+huuuf5mXfIl77r3vKU97+skTJ178sY/5hyc84Ybrr7/33ntBB4eH29tb6/UQoVMnT2Luuuee1ppCT37q0+az2c729r333rfYWOzu7tp+8IMe9FIv+dJ7d94paRiGn/md33nIgx50eLTs+y5bXtjdPTw8zPSpkyeOlstLe3ubGxt7e/stm6SDg8Ou1td41Ve56+67//5xj9/Z2Vao1vK3//APmxsbG4vFbbffcXBwcO/Zs5sbG0dHy9msf8PXfV1JPBeoAFBKOTg8rLW+5Is9dn9/f2//4OEPfUit9SG3PGhjY7F76dI4jrWUm66/fjabT9O4Xq8Xi8WJY8e3t7YQEdF1NSKO7ezUWk6cOF5rjRLjNEaolBIKQa21ZT7o5pu7vjt37vzR8mi5XO5e2rvmzOmI2N29VGu5/rprx3GstTq9ubl5y003nTt//p6775zP5yeOHz9x/Pjm5uY1Z6658+67+q6fb89Wq9WDbr651rq3v394eHRsZ+fYzs4wjsUxTdPNN95Qah2G4eDwsNRy/XXXbSwWrbXzFy4CoBd7zKP39vcX+/unTp6KuLizvR0RtnkuoMP9C1xmu5RSa12v18Mw9H0vybbtrtaj5bLWWmttrUUEsB6G+WyWmcA0TfP5fG9/f2tzcxxHSbVW28Mw1Fq7rjs8PKy1ph0RXa22x3EspQDTNM1ms6m11lpItdZxHGez2cHBwdbWFvbu3t4wDNdde+0wDF3XLVerWso4TbO+H8ex1splEbFeD11Xp9a6WsdxBPq+by1Liam1bK3rurSxu647ODiotdZaSynjOCKFNE7TrO9t81xAh/sXuJ9t2xEhybZtkITtUortzJRkW1JEtNYkAZIys5TSWosIIDOBiLBtu5SSmZJsA7YjwjYQEZkJSAIyMyJsh9QykUKKiGmaJGVmKcW2pMyMiMyUBNiOCO4nyTZgG5AE2OZ+EWHbNiAJsB1S2jwv0OH+BS6zXWuVlJkhpV1KsZ2Ztdb1ei2p77phHGutrbXM7Ps+M21LykxAEpCZESEwRERrDYgIIKSWKSkzI8J2aw1p1nXDONZabWdmZna1Ik3TVErJzFrrOI59102thdQyaylpl4ipNS6TNE1TRIzjGBGSxmma9b1t/p1Ah/sXANu11t1Ll8ZxnM/n6/V6Y7HYvXRpY2Pj3vvuq7WePHFitVpH6NTJk7uXLm1tbS3m8zvuuuv8+QsPffCDpzYt5vPWWmYqYtb3R8sltiJWq9WxnZ2WuV6vgeVqtbO9PQzDfDY7Wi63NjeHYdjbP6i1nDh+/PzFi+fPnz99+vRquTp58sRqtTp54sTupUsbi8Wlvb3rrr32KU97WmZee801s77fPziIiPvOnrvlpptatohorW1vbXVd9/ePe9zh0XK1Xh3b3n6JF3ux1pok/j1Ah/sXAEnjOP7Rn/7ZTTfecPc990Qp+/v7NrNZf3S03NnentpkW5Lte+6996Vf4iWvu/aav/rbv12vh9V61dXuxhuuX8znZ8+fPzg4fNu3estf/83fGsZhY7ExjqOd11933ZOe8tTjx3Zms/n21uaf//VfP+jmm3d3L734Yx9z8sSJP/yTP53N+kzPZ/3upb31sF4sFn3XLeaL+86dFVosFn3fAUK2pzat1uvNjQ2npzYdLZeL+bzWulgsXvNVXmWapj/9y796yINuedqtt9ZaX/wxj+n73jb/HlABwHYpZTbrp9bm8/k4jtdde+3mxgZw5113lxLz+SZw4/XX337nnSdPnDh+bKfrulLKsZ2d2bo/eeLENLW7773v5PHjpZRxGE6dPHH7nXeWUiIUimfcfvu115y54frrb7v9jlLKyeMnrj1zJlseHBxec/r05sbGwx7y4LvuuWc9DMd2doZh2NnZPnvu/Nbm5qkTJ22fPHHi2LGdO++6K9OtTcOY89ns4Q956N7+3no9nL948fTJk6WWs2fP3XbnnTffeGOtNe35fD6OY9/3tvl3Ah3uX+CyiBjHcWqt77pxmhbz+TRNkoDVarWxsZGZtrtaV+t1RHRdd3R0NJvNbGdmKWUcx77vgcxsrZVSgGma5rPZcr3uuy4ijo6OZrNZZkpqrXVdx2W2a61Hy2XfdZLGcbz9zjtvvvHGjcXi8OhoNptlZq318PBwsVgM49jVajsiWmuAbUBS2n1Xl8uVIkrEMAybm5uZyb8T6HD/Ag8gyTZgm/uVUlprgCTbEcq0JEmZKYnLJGUmIEmSbduSbEdEZgIRYVuSbUmZKQmwDZRSMtN2REREZrbWSingTAMRYVtSZkrifpJsA5JsRyjTgKTMlGQbkMQD2AYk8S8CHe5f4H6SbEsqEWlLkiRpvV7PZjMgW0MCainL1aqrVRGZWUoZhiEiulqn1rANtruuA1prEeFMIEpZD0OJAIBSyjiOpZRSyjRNtm3PZrNxHEspmRkR2OthmM1mkqZp4rJSyjRNgKSu1mmaopTWWmZyWd/3rTVJtjOz6zpntkxJtoGW2ddqaK3xLwId7l/gssx80lOeeuMN1589d/7M6VOllDZNR8vlvWfPXnP6dNd1wzjubG9nZmvt9jvvPHH8+NbmZmbOZrODg4Prr7suMx/3hCfMZvOHPOiWcRz7vj977lxmnjhx4vDwsO/6rqv/8IQnXnfNmXGaJG1tbgLXX3vt3/zDP/Rd/8iHP+yv/+7vHv2IR9xx113DMJw5fbrv+/V6DYzT1HfdMI7Hjx3jsv39/dOnTklardbnzp87ferUar0+PDwaxuExj3rUOI6333nn9tZWZg7DcHh4tL29JWlne3tvf39vb1+hxWKxubExTdPxY8cykxcOKgBIsn3h4sWXfPEX293d/blf+uVbbr5ptVrP+j4zDw4ODw4Pwdvb27bvvufe48ePHRweDsMwm812d3e7rtve2nrGHXfcd/bc4dHR1Cbg+muu/dO/+MuNjYXN5sZiPQyg1qbb7ri9RDl2bGdvb/9oefQWb/Imy+Xyrrvvfvozbt3bP7j73nu3NzfvO3vu0t7e0XI5DONiPh+nseu69Xq9sdg4efLEE5/85OVq9fqv9do33/Kgv/uHx13c3f2HJzxxc2Pj7PlzW5ubIe3u7R0dHT3sIQ/567/7+2Ec5rPZiePHNxYbd91998Hh4d7+/t7+wfFjx3Yv7R7b2XmD13kd/kVQAcB2V+swDv/w+MfffNNNp06euP66686fP297c2NztV495PSDuq4ul6u77rn79KmTp06cHKexq13L9qCbb5nPZ621rc3N+6Qbb7j+rrvvvvH6G2pXH/aQh2xsLPYPDg4Pj7a3tmxWq9U1p+fAqZMna60743bfdadOnDxz+vRdd9/T1e706VO7ly5dc+ZMRFnM5w+6+eZxnC7uXiyl7B8c7OzUe+6999oz10zTdHH34vFjO4jVen3q5MmbbrjBeHNj48YbbtjY2Hjq059+eHQksbW5eeL48fV6WCzmt995J3DdtdeWUq679tpay8kTJ0KaMiXxQoAO9y9wmaSptWEYtjY2xmmS1DL7rpumKSIAICKmaYoI2yGl3VqbzWatNUmSlsvVxsZivV7XWrlfKWW9XpdSJI3jOJ/PV+v1rO+B9TD0XWfb0NW6Wq1ms9lyuVwsFqv1uqtVku1SSmvt1ttuu+mGGyKi67ppms6dP3/i+PGLu7uKuP7aa6dpst1a67tOEUdHR7VWICJqrUdHy1oLIKnrumEYIgJordVabfPCgQ73L3A/2xGRmYAkIG1BSEitNUkR0TLF/STb2JIMXa3TNJVSWmtARNi2XUqRJMm2bduA7RIxTpMkwHYpJTMlpR0SICkzbUvqah2nSRIgSVJmSgppas22JEm2bZdSbEuybTsibEuybTsibAOSbPMvAh3uX+B+fd9jpx0RrTXbpRRgvV5PrW1tbrbWWmvz2ay1JskgKTNLKa01SQcHB7PZbBzHxWKRmcvVaj6bAev1ev/gICK6rhuG4czp00fLZa21TdPO9vbUGhAR6/W667qIsG3b9tFyuZjP+65Le5qmWku2XK7XJWKxWEzTVGsdx9H2rO+n1gBJkqZxTJv/KFC5n6S//Yd/6Gp3bGf77Lnz115zpuu6CxcvAqdPnXrarbdubW5ub22dPnXqj//8L86cOrUe1qWU1Wp14sSJu++55/prrz1/4eJ8PhvG8eDgYL1e33jDDXfeddervtIrzWazpz/jGUdHR5k+Wi5LKWdOn37cE57w8Ic+9MlPfepivtjZ2Za0f3Dw4o95zG133LF/cLC5WEyt3X7nnSePn+j7frlazvr+9OnTFy/uXrh4ISJuuO663b29M6dO3XHnXQ976EM2Fou//Ju/uemGG9bDYHu9Xl975prjx3amTPEfASoASBrH8a677+667vFPfOIN11/3h3/6pw+++ZbHP+lJr/wKL9/VenF39+nPeMbO9vYrvOzLnjt/7vyF80KbW5shPf5JT7r5xhv/4E/+9CG33LJ7affpt9124vjxjcXG3/79PwzjcPb8+QfdfNPh0dHpkyfPnj9/4w3X33Pvva21cRz39/fPnb+wublx7sKF2++8Y3tz6xEPfeif/PlfROjY9s56WG9ubu7uXTo4OFgsFpl5z7333XPfvcd2jp06eeIv/+Zvb7zh+j/80z89deLkHXfede01Z85fuHB4eHS0Wp4/f+H666592EMe0jLFfxCo3C9KWa/X11933YNuvvni7u4rvMzLPOP2O17qxV/s2jNnSik33XDDfDa/9pozwHK5euyjH3VsZycz77nvvltuuunS3v7LvdRL7exsr9frne3tjcVG7erB4SEmM/f2D2647vo77rrz4u7u1ubmYrGY9f2Db3nQE578pEc/8hGbGxst89TJEyXKfDZ7yRd77DCMO9tb9507d/L4ieVqdctNN8363vbZc+c3NzdOnzq1Xq+vveaa8xcuvMxLvuRiPi+l2F6t1o96+CMu7F685vTp66+9tpTSWpPEfwjQ4f4FLkv78PDw1IkTaXNZSIZpmmx3XScADo6OpnE8ceLEOI6C2tXd3Utd129uLsZxCkkRmSmQZDvtzJRkezabrddrSbZLKSXCdsuUFBGZ2VqrtWLbLqWkDQCZKamUYhvbPJOgZZaIg8PDtI8fO5aZgpbZWuM/EOhw/wL3k9Ra4362kUKyzf0iQtI0tVpLay0iJGVm2gJJtiVFRGuNyyRJsm1bEpfZlmSbywwhSWqZkrABgwAopQDTNJVSMhOQZBtAwq612EzTJMkgQAqJ/yigw/0L3K+rFQlbknFEsW07IqZxjFK4zJmSDpfLna2tS3t7i8Wi1mobexjHWmtmLlerrc3NiLBte5qmWoqhlIINSBrGMSJqKWlLGoYhIrpax2mqpaRdSmmtRcTe/j5wfGdnb39/Y7GIiGEcu66TZBsYhqHvOgMQkiEixnG0bZt/P9Dh/gXAdq31KU97mlDt6nK5XMwXZ8+fW8wXW1ubZ8+de/hDH3rX3XdvbW4dLZddVzG33nbbDTdcv16tF4t5phfz+TiNj3z4w++9775TJ0/+7T/8w8ZiAfR9n5kPvuWWe+872/fd2XPnFBFSyzx79tx1116zHoYTx49fvHjxMY961NFy+ZSnPf0hD7rlzrvvPnHs2N333nvLzTffc++9d95196Me8fDlcnnvfWcf+uAHr4f1XXffc8vNN63X663NzaPl6sUf8+gnPfWpkmqpB4eH8/ns6Gh5/uKFm2644REPe9h6vZbEvwdUACgRy+Xy6c+47REPe+hTnva0Wd9f3L20s7N9tFw+5WlPO3P69F/+zd/s7e8fHR29+GMfe899995+x53XXXvt2XPn9vf39/b3Nzc2tre3Dw4PH/rgB0eEpOVq9bd//w+nT53a2FgcHh498uEPf+qtT9/b2z84POy7bmtzc2tra7VeP+3WW89fvPjgm2++8+67H3TLLU99+tNLiQsXL/7dPzyuq/XBD3rQH/7Jn545dRL8D49/wvFjO1ObHv/kJ128uHvzjTf+xV//ddd1p06evHDh4qMf+Yiz587ddc89J44fr7Wev3DhhuuuP3f+wiMf9jDb/PtBBYC0F4vFTTfeMAzDg2+55fDw6GEPeSi47/u//Yd/aNke+fCH33X33dtbWzdcdx32yRMnhNL5sIc85ODgwPb21vbd994jaWqttfaQW245cexYKXVjsbjnvnuxH/HQhw7DYHNweHD61KmIsre/l5nXX3fdDdddV2sneOiDH/yUpz2tq/WhD37wiePHTp86de01Z86dP7+9tX3q5MlzF84fO3astXbzjTdubW6ePHmiRBzbOXb77I7MvOG662ez2dbm5tHR0cMe8pC+647t7Bhs8+8HOty/wP26rrMNSLLtzChlb29vsVj0XWcQTK2VUgSAwbYk25lZax2GISIys5QSEc40lFKGYSilhGQAbGNHBJe1zFrrNE1AKcV2RDizZUaEJEHaElJg27aNBGRmrXW9XpdSaq2tNUlAtlZqba21TPFsNmBJ/KuADvcvcL9MS9RSptZsS7Jda81MICLGcay1ZqZtLpME2O66bpomLpOUmZK4zHZE2OY52QYkAbYlcb+0u1ptt0xsICIktdYklVJs11KGcYwISV3XDcOQmbPZbJqm1lopZZomSZJ4gIiQlJmZiSQAJAG2eUEguJ+kWkva9549GxGzvq+l9H2fmZKOjpbnL1zY3t7a399frdfz+bzruq7rgIjouu6ee+/LzK7raimS+r6XJKmUUkoppURERJQSkiTVWrta+76XVGuttZaIiJBUa13MZmfPnV+tVn2tXdeVUoZxPDw87LoOuHDx4u6lS3/7D4+zffbcuac+/el//Xd/d3BwIOmv/uZv7zt7Fjh/4ULXdREhKSIASWlfuHjx/IUL4zh2XVciJEXEarXaPziICF4QqDzAX/7N32xubDzlaU8/c/r0fD47f+HC1uZmRJRSaq1PfupTX+wxj7ntttuPHdsZp6mW2lq75szphz34wX/6F3959vy5W268ae9gv6u1tdza3Dg8OnrlV3iFpzzt6Yv57Bm337FcLV/lFV/xvrNnz1+4EIqDo8Mbr7/+4PDw8OhoY764tLe3WMxf+RVe4W//4R8uXtw9dfLEk5/6tIc86EF7+3sbGxvr9Xpvf//E8eO11t3dS1Obju3sPPXpt77ki7/YHXfddeP11x8cHN59770v9pjHdH33jNtvP3P69B/+6Z8+5pGPvO/s2eVqfWxn+xVe9mUl/cVf/82FixeOHzs2n88PDw+7ro/QarVO50Mf9OATx4611iTxvCAAQNIwDLuXLvV9f+01Z/q+e9wTnrBcrparVVe7zCylPPyhD73t9tvPX7x4eHR0+x13rNer5Wp5x113Ldfrg4OD+Wx2x113Pu3WW9fDsLGxuHjp0l333DOO48Xdi//whCfsH+yfOH784sWL0zRtLDaeccftR0dHT7v11nvvOxuKu+69p+s72wcHB/fcc+/TnnHr3ffet729defdd91x19133HlXawmS9PRnPOPS/v6xnZ31MDzq4Q/vug5YrlZ333vv6VOn9vb2nnHbbddec01E7O5euue++2qtx4/tjON437lz2HfdfXdmDsNw9z33PvXWW9fDuu974/vuOzuMgyReENDh/gXAdq313vvuW65Wp0+eRBrH8ejoaGdnZ9b3t9955872zmI+U8Tu7qWtrc1hGCS11mzfcP31t91xR2Z2XTdN07GdnYhYrVaHR0e33HTTpb298xcunj51MqSu69K2ffbcuZ3t7cc98Ykv85IveeHixVnfb21ujtO0tbl5z733llJqrXv7+5sbG5l59z33lloe+fCHX7x4cRjHna3tYRz6vi8Rx48fP3f+/MXdXUkRMU0TsLOzc+rEidV6fbRc9l1XSsnWnnH7HS/xYo+9dOnS4dHR8WPHLl66ZPvk8ePrYfiN3/ndxzzykY96xMMjghcEdLh/gctsd10XEdM0AZIiorVmu++6qbXMBGqt2ZoibGNLGsax7/uQMlMRrTUgpIgYxrGUUkpp05Q2l0mqtY7juB6G+WxWSrGdmYKWWWsVpF1KycyIWK/Xfd+31iIiQq2lJNu2W2ullFJKiRjGEei7bpqmqbWIiIjM5DLbmVlrDallllKAzBzHcblabW9t2c5MwBASzwV0uH+B+0lqmeIBJGzbXdfZtt1ak5SZpZS+71ubIoozx2kqpUythQTYBiRxv1LKNE3cT5KkzOQySbZLKcA4jrXWzARsR0TaRVLENE2SuCwibNu2LQmQlJmSJAG2JQG2IwLITO5nW1JERGiaWt/3trFLrev1mucCwf0y88LFi7WUiCilSJIkKKX0fX/f2bP3nT23e+lS3/cRsb21ZfvP/vIv7zt7/slPferTbn1GRJw9d65EcFlEREREABd3d1tr9953X621lBIREWEbkBQRpRRA0sXd3QsXL25vb1/c3V2t113X1VpLKV2twzheuHix1ioJKKVc3N21HRF917XWuq6LiForIMl2KeXo6Ohouey67vDo6PDoqJQC1Fol1VolZWamSymPe8ITbr3ttnvOnv3Tv/gLnhdUAJAEPOmpT71ufz8Uz7jj9tOnTq3X60uX9q679trNzY3lctn3/d//5ePf4LVfe7lc/vXf/t2NN96wtbn19Gc848LFCzYPfciD/+wv/+rBt9x8eHR0aW+v7/vXfNVX+YfHP/7w6Ghrc3Nrc/MpT3va4574xL7rX/WVXvEP/vhPlqvlzvbOyRPH77z77o3FBrjv+2lqd95112Me9cgnPfWpN99440s89rG/9lu/dfLEiWmauq47d/7Cm7zB6//+H//xarXa2tza2Fj87T/8w8ZisZjPFYF92x13vOarvdrpkyf/9h/+4dbbbpvP58ePHTs6OloPw6kTJw6Pjo6OllFiZ2v7umuvPXv+3IWLF6dpuu6aa1/6JV9iNpv9w+Mff+b06RLltjvueMRDH7paryVxBQQPsFwun3Hb7U97xq3Ak5/y1KOjo/Uw3HPvvX/3D/9w8403rlare++7b3dvb3Nz8+SJEyXiqU9/+ulTJ2uttZbMXK1W99x3X4ly8sTJiDg4OCy13nHXXRcu7pZSpqndc+99U5vWwxARp06ctP2Upz39zrvuXq1Xs9kM03fdIx720Ftvu21//wA4PDq6976z09QOj5YXLl685vTp9XodilMnT0bozrvuXsznfd/fetvtx3Z2br/rrvUwXLy4O47jOE3Hdna2NjfPnT9/cHh47Zlr7rnvvsOjo2PHdna2ty/sXnzy0556+513bm1unTh2fLVeDcOwWq1Kqa21o+Vy1vdp80Cgw/0LQCnl0t7e02699aYbbmitRUREAI9/4pMe9YiHL1erm2+48dL+3t7+/vXXXtt1Xd/3BwcHT3vGM647c2YYJ4VOnzy5Wq9Xq1VIXde11jY2Ng4ODw8OD4/t7Mxns2EYjpZLSadOntw/OAgJ6eDwsLW2s7U1m8/vuPPO48eOzfo+InYvXdrc2Dh+/Phdd989n89X63VXq+3t7e1hGASGNk2llFLKehgu7e2dPnXq8PBw99Le9ddd23fdMI4htZbgruuGcZRUohiHdP7CxY2Njfl8ZhvY3Ni48+67NxaLvu/PnT//kFtuaZk8EOhw/wIgaJnAbDazjW2Q1FoDuq4bhiEiSinjONq2HRHz2WwYx4gAxnGMiIjATltSZpYIRWRmZkZESIZpmkopABASUmZmZt/32VrLFJRSWmZrres625IyU1JrLSK4TMLGdkRERJumUsrUmm1JkrifbUlcZltQas1M29iGzOz73plp11qHYeC5gA73L3C/Uopt21wmKTO7rhuGQVLXddM0SYoIIDNbZomwnZm11sy0LSkiWmuSbJdSsjVFTNNUSrFda22tYRtKKUBmhpR2a62rNe3MlASUUsZxjIi+61omdtqZWUqxDUhqrdVSDJkZEdzPtiTbIUlKu7VWa81MiUzbrrUCtm1npiTbknguUD7tUz8JsF1r3d8/ODg8xJ6maZymw8PDjcXiCU960n3nzh3b2Xna0289ODxczOf33Hff3t5erRU4OjrC7rru0qVLBuzW2qW9vcVi8fRnPOMJT3qy4M//+m92trdOnz592x13/M3f/X3fd3/5N3+zWGzsbG+fv3Dh8PCwq/Xo6Gg9DJf29hEHBwfPuP32a86cqbX++V/91Z1337Me1rfdfge41HrPvfeO49h33Xq9nqZpPQyL+fz8xYvTNElarVZTa+M0Xdrb+9M//4szp09jHx4t9w8PMvPsuXNPedrTnFlLtT2bzc5fuPDUpz99Z3t7PQzz2cy2JJ4XVACIiGEY/uKv//ohD3rQ05/xjDvuuuvYzo7trnbrYT1N08Xd3dVqPZ/Pnvjkp6xWq52d7fMXLl57zZm9vb3HPOpRN15//e/+0R9de+bMyRMn7rz77sx87Vd/9euvvfbW22573BOf+OhHPOJJT3nq+QsXbrrhhq7v/uQv/qKUcnh0uLe3/wd/8iezftZ1dTabtda6Wi/u7j74lluOlsvWWt93e3v7s1l/x513Hh4tz54/v5jP7z1738729sHB4ebGhvHpU6de8sVe7C/++q+3Njdrrffcd9+s71/mJV/qaHlk/Hf/8LjzFy5sbCzW62FjY1FKWR4tL+7unjt//pEPf/gjHvqwv/67v1uvh6c+/em11Dd6vdctpdjmeUFwhS2pdnUYh4PDQ8ypkydvuemmlq3v+42NjVrKfNZPUxuG9ZnTp7a3tubz2emTpzY2NnYvXZrNZrN+Nk3trnvuWa/XD33Qg+fz+e133hUR15w585SnPf3GG65/zKMede7ChfV6fdMNN2zMF601xC033fTQBz94Z3vb6VrKrJ8d2zl29tx5Ke64667Vav3gB91y4vjxvp/dctNNi/n8wQ+6ZTFfnDh+fLGYnzhx/PixY3v7+7aXq1WUcnh4ZPv4sWNnTp86fuzYtddcc3h0hLju2msf/tCHnDh+XOjYsZ2tzc3Nzc1jOzsKlShbm5sbi8XJE8cjwjbPF+hw/wKXRcR6GMZhnM36zKy1ctnh0dHW5iZwcHi4ubGxHoZZ32dmyywR0zT1fS9puVptLBbL1aqrNSIiYhiGqbXtra1Le3vbW1vAOI7r9frYsWOXLl3a3Ny0nTZ2rXW5XCpiPpstV6vW2nq9Xi5X115zJiK4zPY4jovFYr1eRymC1pqhlIL95Kc+9REPe5ikaZr6vrcNAMM41lIiwrYkwHatdbVaRSnzvt8/OOi6rpQyjONiNkub5wt0uH+By2xLigjbQGZKAiIiM4GIaK2VUjITkGRbkm1Aku2IyEwDdkQIptZqra01SbZLKdM01Vpba5K4zHaJMAASNhEhaZomHkBSZpYIg21JgG1D33XTNNmWlJmSACAibNvmfpIyMyKAzCyl2LYtyTYvCAT3C2nW94DtiOi7DqilZKahlCJp1vettVpriQBKhKSIAEoptm2XUmoppZTMVMSs77EjApjNZpK6rsvMvu8llVIk1VoNwHq9xpRSMnMcx67rgIgASikRIall2g4pIkKKiBKxHobMrLVGRN/3ESEJyEzbkmxHRNd1mdl1XUTYLqVkpqRSCmCbFwTKp33qJwGSpsy/+4d/2NrcrLXuXrq0e+nS9tbWuQsXZn1fS9nb39/dvXTHXXddd+0199x7X8vmzOVqNY7jar3uuu7S3t5qtbp06RJwtFzazOfzi7u7j3/Sk3YvXSql3H3vvWfPnQOG9Xo2m9119z2L+Xxvb7+U2NvfL7W2aXrcE564tb21v79/cHT0l3/zN5n5d//wD1Nr111zzW/87u8Nw9Ba7mxv2V6t1weHh9M07R8c3HvffU+/9dadra3lanX+4sWnPO1p15w5c+78+bPnz99w/fVPfupTh3E8eeLE/v7BvWfPXnvtNX/6539xcHh46zNuu/veex724Af/6V/+5T333pv29tYWLwhU7temdsddd7eWq/Vqb/9ge2vzr//u785fuPhqr/xK89nsN373d7c2Nq+95swwDH/1t3+zs70dEffcd1/f9a/0ci93cHj467/929ddc81qvZ7P5nfefdeDb3nQS774i/313/3dcrl8xZd7uT/+8z9v02R45MMf/vgnPPH48WN93//tP/z9/sHBDddff+HixZd/mZeZ9f18Pnvq05/+5Kc+7e3f6i3Pnjr1jNtuv+Xmm+47e3Z66ENvvP762+64vZRb0DUbi8XfP/7xFy5evHDx4sZi48Tx4weHB7/3R3907TXXbG1t3XHnXYdHR2fPnpvNZg990IPOX7j413/3d+/0Nm/zjNtv+9t/+Ie+6574lCefPHHyIQ+6ZffSpQsXd2++8ca/f/zjI+Ka06drrbZ5XhAAYHs262++8cbZrN/bPzh+7NhqvT62s3Pi+LHtra1a687W1kMf8uDtre1pmlarda11tVpHxJnTp6695sylS5ciSkTZ2d5+yIMftL21dfLE8VJKLXWxWJw+dWp7c/PkyZMPe/BDdnd3a1dn/Wy1Wkk6fuz4NafPbCwWly7tbW9tHR4dnTh+/CUe+5in3XrrU5/29Ec/8hFPffqt29vbfdedOH7sxutvePqtz3jarbde2ts7tr390Ac9eHNj8/prr43Qer2ezxeSsuVjH/2o4zvH5ov56VOnDAeHB7O+H6fp2LFjj33Uo2xfd+21J44fu3BxNzM3Nzc2NzYfdPPN99539r6z52qttnleoMP9C9xP0tNuvfXYzs5yudrYWFx37bV7e/t939Val6tVV2tmZuatt9328Ic+FGit1VptSxqGoe9726WUYRgk9X2/XK2A+WyWmcM49l03jGMtZbVe/+lf/MVLv8RL7Gxv226t9X0vaW9//9j2dql1uVwO4zifzcZpmvU90FqrtQL33Hvvzs7OxmIhaRgGSV2ty/V6MZ8fLZeh6PtOUmZO0zSbzYZhkFRKiYgIgSIiM5fLZZTS1TqOY621tRYRvCCgw/0L3M92REgCImIcR0mCZockyTZQSmmt2Y6IzIyIzIyIzARsRwQASAJaa4oQ2I4I27a7rsvMiMhsNpkJRERmZmYpRZLtWso4TZKAzIyIUkprzbbtrusy03ZEZGZE2LYNSAIyMyIA27Z5gIgAbEuyLck2LwjocP8C9+v7HntqTdJqtZrNZqWUYRhqrRGxWq0Wi8U0TaUU26WUaRxLKcvVamOxaJkRYRuQNE3Ter3uuq6UEhGZWUuZWrMdESEN4yhpb39/MZ93Xdd33dSaJKCU0lqTNI7jcrU6trMzDIOkrutaa0ApJVsrtV7c3Z3PZhHBfzao3E/S4574xFCcOnmilHLf2bMRUUt96IMfdOfdd6+H4Y677trZ2n7wg265+557jh87ds999z30QQ960lOeOrXpzOnTfd8fHh7O5/PWWmZub28/6clPfo1XfdV77r13uVztbG/fe/a+a6+5pkQsV6tLe3uPevjDb7/rrj/9i794tVd6peuvu+6v/+7vr7/u2r39/cV8ceHihRMnTrTW/uHxT3jQzTddunTpCU968sMf+pCIuP2uu6675prW2rGdnaPl8ujoaGNj4+EPechqvZbEfx6oACBpHMfbbr+97/qnPv1pZ06fPnvu3Gw2Ozw6etAtN9962+1PfupTT506mZl/9pd/ee78hVnfX3vNmd/6vd8/c/rUHXfdlZkXdy9FxHw2W61Xm5ubf/Lnf1Fr2T84OHvu3FOe/vQTx4/3Xfekpz71QTfdfPHS7vkLF2664Yb7zp6rpR4cHt5x550Xdi+ePnXyb//hH46Ojm656abb7rhj1s8i9OSnPm1zcwPxlKc//d77zl53zTX/8PgnHBwe3HLTTRcuXnzYQx56eHjYMvnPBpX7RcRqtbr2mmtuXFx/z733PuwhD5F039lzmblYzB/+sIfOZ7PW2plTp7paz5w+ffrUqdOnTp2/cOExj3zkNLWN6zfOnDm9Xq9tbywWO1vbwzhsbmycOnly/+Dg9KlTl/b2XvrFX/wZd9zxkFtu6bt+nKZHPfxhR0eH21tbx48du+Ouu5er1ZnTp/uuu/nGm9br9fmLF9br4SEPevByeXS0XHVd3djYuOb06aOjo/Uw3HTDDV3XHS2Pjh87du78+ZMnTrTWJPGfBHS4f4HLMvPS3t41p08bBEDLLKVM01RKESBlZkTYFrTMEpF2RGSmJNtcYUcpma21lFRrBWc6JKTMlJSZQETYzsyIAEJCaq1FBJcJDIAkbANgOzNrrUdHR7XWUkpm8p8KdLh/gfuVUqZp4jlJss3zkrB5oSQBtnkekgDbgCTb/KtI2BFhm/8CUHmAaZok8Twk8XxJvAgk8QJI4jJJ/GtJtvmvAZUHkMRVzxcED2Dbtm3b/MexDdjm+bFtm+fHtm1eKNvczzYvmG3b3M82LzqoPEDXdQIk29M0RURmRoRt21wmKTMllYiWGRGZGRFAZkZEZoaUtiRJtkspgG2wjW0gpLQl1VptT9NUSslMSbYBSbUUoGXaBgBJtiVJaq1J6vtumpok7NJ1rTXbtiPCNmBbkqRaiu1xmiRJiohsLe2IyMyIyExJtnleUD7tUz8JsN113VOf/vS/fdzjpnE6ODw8fuzY0XI5m82OlsvMjAhA0jRNfd/b3j84mM1mh4dHs74/Wi7Haaq1Hhwe9l23HsdSyjiOwzCWWm6/407g4OBgnKZaa0RExGoYuq6bpunc+fPL5Wp7a2u9Xg/juLd/sLGxsN1au7i7u1ytlsvler3e3NwEWmvANE3jOPZ9L+lpt94aigjtHx4+5alPW8xnpRRgPQyZyWXjNK1Wqz/6sz+7/c67JDY2Npar1W133LG5sVFKue32208eP75cLruum6ZJkiSeC1QAiIjlcnn7nXe+1qu92t/8/d8/9e+fvre/f+78+czcWCx2L+3ddOMNfdc97dZnrNarN3n913/8E5+oCMzB4UFrebRclhKbGxvL1erkiRNHy+XBweHGYnHq5Ilbb7s9QvP5HJPO8xcuvvarv9rRcvnHf/bnD3nQLUfL5TAM111zzTVnTv/27//+1uamFDdef/3FS7sXd3e72q2HYbVanThx/HVe4zX29/d/7bd+e7GYRwTwGq/yKv/w+Cfccfddi9l8a2trtV4dHS2nabr37H3z2fzYzs5d99zzSi//covF4rd/7/cXi/nF3d1ZP5vNZrfedvv11137xKc85e577jW+tLd39733rtfDa7/Gq1/c3d3Z2Zn1vW0eCAIAbPd9P5/N/ubv/r5N7SVf7MUuXtzd3b20e2mvtZym6dz587fedts4Dn3fS1oPQ611PawN4zjeeMP111933f7BYWt5cHBw8eLu7qXdM6dPrYdhd+8SqJZiPE1TRHRdt1qtBFubm0fLZVe7Y8eO7e7u7u3v717ay2xPedrTlstlptO5tbk5jmNX6z333msYhqGUcurEyRPHjh8tl+M0bswXLZud2XJra/PCxYt7+/tTaw958IOGcdi9dOng4ODi7m4t5cUe/eiHPeQhmW2cRts333jj6VMnL1y4uJjPNzY2Lu7urlarWqt4fkCH+xe4LCLWw3D+woXTJ08aBPsHh9tbmweHh7fdfsfDH/qQlrmxWBwcHp48cWK9Xl/c3T158uTFixdPnTw5jmPXdfedPXvfuXMv8djH7u3v11Jm8/kwDOM49n1/cHBw8sQJw/7+/rGdnRJxYXd3a3Pz4PBwY2NjHMeNxeLo6Ojes2f7vj9+7FgtZT0M8/k8M22v1+u9/f1HPOxhu5cu2Z7P5i3brO/X6/Xe/v7JEycuXLx48sSJaWqtTcM4bmxshLS/f7C9vSXp0t7e5uamwFBLWa1Wy9Xq+LFjtoGj5XI+my1XqxPHjx8cHs5ms1qKbR4IdLh/gftJqrVO08RlJaJlRghkW1JmRsQ0TRFRSxmnqdY6TZMkALvWOrUWEbYzMyRFODNKmaZJEKVM0ySplJKZJaJlSsrMWkrLBCLCtqTMFCgCG2maplIKYBuwLamU0lorpUzTJAkoES3Tdq11miag1tJa2pZkOyIiYpomSYAk2yFNrdVSWibPC3S4f4H7hZQ2DxARJWKcJkm2I8K27YhorZVSgIgYxrGWEhHTNEnKzIgIKW3bkmxLkgSUEsMwRoRt26WUzIwI25nZd93Umu0S0TJDapmSIkLSNE0RYTsibHOZbdsRAUTENE1ARNiWZBsoEVHKOI6SANsR0VorpUSEbSAzMzMibPNcQIf7F7hM0mq9Duni7u7pU6eQsrVhGM5fvHjj9de3zJBW63UpZXNj4+joaDabrVar5Wo1DMMtN910cXf37nvvffAtt9iezWbL5XKcpq7WUkprrdTapikz9w8OD48OH/PIR956++2zvr/ummv+/vGP77ru2muuEWxubjzt1meM43TLTTeu1uud7e3VarVYLKZpWq3X2FtbW6vVqu/7o6Oj+XzeWgNKKRHRWmuZ99x77y033SRpvV6XWp1Za52m6Wi5vLS31/f98WPHbPddt1ytjh87dvbcub/9h394yRd7sWfcdvvW1uYwDI999KMzUxIPBBUAbJdS/v5xjzt/4eKxne0Lu7u1lNvuuGNjsXFwePDUpz99tVpvbm4sl8vFfFFKubB78cSx45l5cHh48403nDhx4s/+6q9Wq/VTnvZ0iTd6vdf7s7/6q4ODg43FxpnTp2697fbtrc2IsrGxKFFuve228xcu3HHXXddde+3JEycu7O7OZ7MnP/Wpi/lisZifv3Chlnrf2bMnTxx/ytOe9uSnPu2NXvd1L+3v/d3jHreYL7a3tu69777jx46th/WJ48f39ve3t7ZOnjhxcHh42x13zPp+e3v74Q996DAMv/dHf3TN6dN33HX3Yj7f2FgcO3bsaU9/+jVnzjz16U/vand4eDi16bVe7dVuu+OOB9188+/+4R8KPeLhDztaLqdp6rouM3kgCACIiHEcL+7uHi2PhnE8e+7cXXffs7W5eXB4cOb06dV6PZ/Ptje3br7pplOnTh4cHizm89msv+Xmm7a3t7a2tsZxBBbzeWvT5sZGa217a+uWm28+ceL4Xffcs1ytSinXXXvNNE21lhd7zKOHcQQ2FgsB9nK5OnXy5Jkzp/f29zcWG1HKMA5RyjAMs1lfuyrpphtuuPGG69frdZSotd5y88193wvtHxzceffdZ8+dF9rc2OxqvfPuu0sp89n8nrNnwfPFfJqm+Wx27TXXjuPo9DRNGxsbN91ww8Hh4ckTJ2697fabbrhhZ2f70t4e0tnz54dhkMQDgQ73L3CZpKPl8vDw8PyFiw++5eapNUkRIcl2m6bFYpGZQCnl4OBgY3PTmcB6GI5tb5+/eLHv+1rKMI7bW1vDMACSxnGa2jSfzbquO3/hwmKx6LquRBwtl7WUra2t2+64Y3tra7FYANna3v7B8WM7wMXd3VMnT+4fHOxsb7dMZ9ruuu7g8LDv+xIBHB4dbSwWy9Vq1ve2DZl5331nH/bQh1zc3d1YLMZpqqVMrQ3DMJ/NFJGZwzDsbG+P41hrjYjzFy5cc+bMxd3dUkqbpgu7uzdef33XdbZ5FtDh/gXuFxG2I8I2ANi2LUlSZnK/iMhMLpOUmaUUwLakzOR+kiRlpu1aa2ZmZkSUUlprrbXZbDZNk22glCilttYys+u6YRhKKZlpWxJgOyJs2wZKKUBETNMkybbtruuwbU+tSQIkpLBtW5Kk1pok20CtdRzHWqttQFJm2uaBQIf7F7hfLcWwXq/7vseOUgBJmSkJO0qxPU1TLSUzS62ZCYzjOOv7cZoiQtI4jl3XAZmJHaWENE5TraW17Lru6OhoHMetzc0o5fDwcD6fS2qtrdZrZyL1fT8Ow2w2AzKzlDJNU0RERK11miZJtiUdHh7ZubGxkfZ8NpO0v79/7sKF66+9ttYqqbUmyXZmSgJsS+J+tiXZlmQbkMRzgfJpn/pJXFYi7jt37uDw8PyFi7XWqbULFy5e2tt74pOfPJ/Pd3d3V+v1XXfffXh01HfdXffcY7j33vvuve++e+87e9ONNz7l6U9/4pOfMp/PLl26dOL48Xvuvffg8BBpHKez58+dv3BxY7G48+67he64687f/6M/ns36tO89e3a5Wq3X60uXLp06derJT3nK0259xtOfcevO9s5f/PVfr4fhphtu+PXf/p39g4OIOHH8+DAMf/13f3fuwoXjx46t1uuI+LGf+emu60opt91+x2q92r106fDo6M/+8i8f+6hHHR4d/elf/AUw6/txmmZdZwAk8QCSAEmAJEk8L6jcz/D4Jz7x3rPnrjl9+vzFCxFx731n+76P0O/8wR84vbm5Ce66fm9/bxqnra2tzY2N8xcvPPqRjzx77txTnvb0cRx/7bd+e7GYv9W11z7+SU9ar9enT51qLe87e/bUyZN//Od/1tVuNuuvv+66UydPnL948Wm33vpij37002699c67795YLK679trDo6Prr7v23PkLf/HXf/2YRz3ynnvvG6fpMY965BOe/BRJN95ww+Of+KRLe3u7l/aEhnF8+Zd56VMnTu7t729ubFzc3b3jrrvA11933Wu/+qvb/uu//bvVev24Jzzx4nW7G4vFYx/96OVqFRL/BlC5X2stSjlx/FitJTOnabrpxhv29w9OnDg+n81rrSdPHC+l2Fy4eGEYxlMnT+5sb+2c2+5qXczn89lse2vr+LFjfd+XUs6cOnVx95Kk9XqlkMSjHvGIo6OjE8dPXHftNZf29sZxrKXsHxxce+ZMLWU+n8/6fmOxGMbR9iMe9tDbbr/j+uuu7bpuNps97CEPfvJTn7ZarU6fOnlh9+LDHvLgCxcvnjp5QlKU2NvbP3XixEMedMt6GGxvbmxef+2162E4cfzY+QsXr7vmzN333vtij350Zop/K9Dh/gUuk1QiDpfL8xcu3HLTTa21zKy12gZaZi0lMyWViGEcSym2I2KaplJKZkaEpGmaIiIza622gTvvvvvaM2dms9l6ve66rrUmKSJsj+M4m81sT9NUIqbWWmYtpe/7cRxLRMu0XWsFWmsR0Vrruq61JglYr4dSYmptPpvZlmQ7MyNCUmut67ppmiIiM/k3Ax3uX+B+tiWVUsZxlATYlmQ7IjJTkgE7IgzOjAggMyPCtu2ISDukzIyItGsprbVaKzBNEyAJsB0RrTVJACAJsA1IykxJkjITqKWkbdu2JMB2REgSNFtgW5JtICIktdZqra01QJJtSbZtSwJsS+KFAx3uX+Ay233XIWVmRGRmrdWZLbPWOgxDrTUzIwI77czsu265WnVdV0qs10PXdaXEOIyl1syMiHEc+64DJD3j9tsXi8XJEydKKcMwZGYpZZqm+XwOZKYkICIycxzHiOj7vrU2DMNs1gsdHB72fd/3fbYWpbTWainjNE3TJElSa63rutbabDazfXB4KJjPZnsHBxuLRUS01kopU2u1lK7rMtOZishM27wQUD7tUz8JsF1rveuee3Z3d9fDeP78+Wmabrv9joODg6m1W59x2/bW1p133ZXps+fOHRwdLpfLv/n7vzfcc++94zheuLh78vjxe86evfOuuzY2Nu68++7MvO/cuWM7O7fedtt9Z89m5t/+wz9g33TDDX/3D497wpOfbPvi7u7e3n5r7ez589M07V66tB6Gv/2Hfzg4OLj+uuuGYXjK0562XK7uvOfuaZz2Dg5+7w//cGNjY29vbxjHu++5R/D022/f2d7+67/7u2PHjvVd95d/8zcnT56cz+ePf+ITM/O+s+ee8vSn3X7HHbfdccdjHvnIO+6880/+4i+k2NranM9m995335/95V9tbCxs26618kJABYCIWK1Wj3viEx/6oAc/+WmP67pud3d3NpuVUpbL1bGdnfMXzl/c3T1arh72kAcvl6vb77zz1MmTT7/1GQeHh4dHh63lNadPP+3pT1+t1/fcd9+58+dbay/5Yi82juM/POEJfdfdceddj3nko6679ponPfWpd9x1Z9/3p0+d+tlf+qWTx4/PZrPHPOpRj3/iE2+7447rr71uNp+N41T7xfk777z1ttsiIhS333Hn4dHhqRMnb7v9dinOnj9/zenTT3jSk3d2tp/4pCfv7e8f29m5+aabnvK0p5dSXu2VX/mv/vZvH/7Qhz7q4Y+4tHfp9KlTT7v11jvuvvumG26479z5O+68c3t7K6R/ePwThnH4hyc8YXtr64brrrvl5pvW60ESzxdUALDd9/3xY8fXw/r0yZPL1epRj3hE13W11r9/3OOnabr2mjPrYTh96tQtN938lKc/7aYbb+i7DumaM6f3Dw5aaxsbG6v1ukQ5vnNsGIad7e2bbrjB8MiHPWw+n69Wq+uvu7bv++PHjs362bFjO8ePHXvQTTefOX1qPQx7e/td11937bW33HzTqRMnnviUpzzj1qfN5/P9g4NHPuzh4PvOnTtx/MYbrrt2b39//+DwxR79qK2trbNnz11/3bV3b917cXf3mjNnVqvVsZ2dE8ePD8Pwsi/1UqdOnvzrv/+7rtbFfF5rnc9mhmvPnC6hu++558brr9/e3h6GYWd7+5777n3kwx/eWvJCgA73L3CZJEmttVpra62W0jJrKffcd3ZjY3H82M4wjKWU1pokSdhp11IM0zSVUu6+556TJ05sbGyM41hKmaYJiAhAMLUGlFIyMyJsR0RmhjS1VmuxASTt7x9kttlsdvHSpRuvv96ZaUvCNtgupbTWSkTLrLVO42iICIEhM/uua5m2W2uSJEXENE2llJAMmQkIIiJt27Z5IUCH+xe4X2ZKsl1Ksd0yu1ojorWWmVwWEZkJ2JYkKTMl2a61tkxnSrINRARg29DValtSZrbWJBkEQCkFKKVM05SZi/m8ZY7jOJ/N1sMA2LYNRERmcpltSWl3tWQ6MyMibYFtQBIgybZtSbYBQFKJmFoDJEnihQMd7l/gfn3XpV1KOTg4yMwTJ07cdffd8/l8MZ/b7rpumqajo6Pt7W3bpZRxHFtr8/ncNlfYgCJsS1qv17a7rpN04eLFWutqtdrc2NjZ2clMbEVk5oWLF4dxXK9Wp06eXCwWt91xx8729qkTJ+66596d7a2WubFYdF03TdN6PWxubmSm7a7rMrOUsru7O5/P57PZar3uui6klhkSku1xHLuukyQwBgmm1vb3908cP440TVNm8sJB5X6S/vQv/3I2m9VSjpbLzY2Ne8+e3dvfX8wXL/boR63W67/5+78vpUzjeP11163X6/MXLkTEuQsXrjl92mB7b3//xLFji/n8/MWLGxsbwzBc3N29+cYbH3zLLX/0p3+6Wq8f/chHPuP227e3tvq+Xy6XO9vb586ff9VXfMV77zt7cfeiFLt7ew97yEP+6E//9LVe7dVKKY9/0hNrqQ9/6ENPnThx79mzf/W3f1trfcnHvth6WB8/fvyP/+zPTp86vR7W2XJjY5GZD3/oQ5/0lKdcuLj70Ac/+PY779je2lqvh5d6iRf/m7//+652h0eHi/liGIZSy2I+v+32Ox7x8Ic947bbX/olX2JjschMXgioACBpHMfzFy7MZ7NLe/uPeNhDL+7uPvXWW1/1FV9xb28/7eVy+aSnPDUzT504sbe/P03tcHk0n81rib/5+384trO9sbFRaz134eJtt9++vbW5WGycOnlif//gxPHjz7j99tV6vbW5ddMNN/z13/3drc+47WEPecjh0dHjn/ikvu+OVitwZu5sb66HQfCIhz3sKU97+oNuvvllXvIl/+EJT3j8k5547TVnnnH77bXWS5f2HvfEJ/Z9P+v7/YPD/YODvu+vu+aaO+68696zZ1/yxV/8rrvvkfRXf/u3l/YutZav9sqvNI7jU5/+9Et7e4982MMu7e211ra3t//qb//21ImTf/Lnf75eDw97yIO3t7Zaa5J4QaByv1JKa3ntNdc89tGP7rpuPp8/9MEPvu/cuX7WP/mpT33QzTc/8uEPW6/XpZTFfNH33TS1rqu1lOuuvW4+n21ubNiW9KCbb1qv1ydPnCilnD51amrtlptu2r106ZozZ2zfdMMNL/HYx95x552HR4ev9eqvdnBwuLlYHNs5NpvNjo6Wx3Z27rr7nq3Nzeuvuy5t2y/26EffcdddmfnwhzzkiU95yiMf9rCz586dOX06Shmn8SVf7MW2Njdtb2xsPPyhD10ul6WW+Wz+iIc99N6zZ08cO3765KnMfMiDHjTr+zOnTw/DAJrN+uvOXDOMw4njx++5775TJ09O0ySJFwJ0uH+By2wP47i9tTVNExARksZxzMzM7Luun80ODg+naTpx7NjUGpfZDqll2pYEhITINLYiMtN233et5TRNs74H7rrnnlrq6dOnnDm1JgmY9f1ytWqtbW5utmkapqmWIqi1DsOgiL7rptZKRNpHR0uFNhaLaZoEUcKmtbZcrbY3N5FCSnscR2DW94bWmgCwHaVgp10ihnHkXwQ63L/AcyqltNYktdYkSQLSxq61AtM0AbZrrZmZmV3XAdM08ZwiQlJmSrItKTNtbywWSNM0CcZpqrUCrbWIiIhhGCTVWltradsuEbYzU5LtUkpEZCaQmZIM2LXWzMxMSZkpqdbaWrNtEM8kyTYgCZDEvwh0uH+B+/Vdt39wcHh0dOL48cOjoxPHj2em7YgIqbW2Wq+7rgNqrSXiwu7uYj7f2ty86557MvOG66+bpibJtqSQDo6O2jRtb22dv3hxe2srIiJUa3f23LlxHNNu0/Sgm2++5777gI2NjaOjo2EYb7zh+nEc9w8Otre2+q5TxDgOpVSBISIOj46wZ31/cHR04vjx9XodEZL29vdPHD/uzHGauq6bpung8PD4sWOttVKKbUnYLbNEKKK1Nk2TJP5FULmfpH94whOf+vSn3XzTTecvXLjz7rsf8dCHnrtw4eYbb7z1ttuPH9s5f+HC7qVLb/R6ryfpr//2b9Oepra1udFaPuP2208cP3bXPfdsbmzce99911933T333nf9ddfed/aspNd41Vd96tNvjdCrvOIr/t0//MN9Z88++EEP+ou/+uubbrzhaLm85syZe8+evf2OOx7+0IfedMMNf/mUv7n5phslPe4JT3z1V3nlJz7lKfedO/eqr/iKT3jSk3YvXbrh+uvvO3t2a3NT0r333WezubnxiIc9rO+6P/vLv2wtjx8/Vmt9yRd7sb/+u7+b9f2Tn/a0h9zyoO2trXMXLpw4fuzue+45fer0yRPHL+3t3X3PvY98+MOuPXNmnCZJvHBQASCk5Wp1z733llIe8dCH/t4f/dHh0dHfPu5xj37EI+6+594nPuXJi/n8ZV7yJdMex7GUcu78ha7v9vb29zcWd919z8Me+pBxGNfr4alPf/pDHvSgJzzpyadPnXrK055+97333HzjjYeHh+fOn7t46dIrvtzLHS2XF3Z3X+nlX36xmANdrUfL5WMf+chhGJ7+jGeUUmqtl/b2NhaL1Xp1cXf37x/3+HGahmE4e+688Z/8+Z8/5JYHPeVpTzc+fuzYNIy33XHHyRMnImKc2tHR0e133nnLzTftHxzce9/ZRz7soSeOHd/b37/9zjvvPXvf9ddeO5/Nn/SUJ585ffrpz7ittXbNmdPXX3edp0n8S0CH+xcA27XWW2+77dLe3os/5jEXd3cvXLx45vTpO++++8SxYxd2d08cO3b69Ol77r33/IULL/fSL/0bv/M7115zzfXXXnv+wsXMdurkyVrrHXfddc3p0/P5/PDwcD6fAxcuXlzMFzfecP3jnvDEru8e/pCHHBwettZms9nh4dGlS5fS+ehHPuLS3v40Trt7l1prtZTNzc2TJ048+alPzfSxYzsHBwePffSjf/v3fn+xmD/8oQ+97fbbr73mGtDd995z+tSp/f3906dOnTh+/O8e97hTJ0+O4zifzW6+6aYnPvnJtk+dPAmcPXcOOHH8+F//3d8/+Jabx3E8ferUhYsXb7n55o3FIjP5F4EO9y9wv67rImK9XpdSIiIzSynOVIQzp9ZKKev1upQyDMPm5mZmRoREawnUUlpmZkZEZkqKiMxsrfV9j70ehlKKpMyMiIgAhmGICEkRYdu2pGmaZrMekzYwTdN6GLY2NzOzljK1Jii1ttZCapmttdlsltlAzhynqe97QWsNqZRiW7AeBtubGxvjOEbEOE22eVGADvcvcD/bkrgs7RJh27aktEtEZpZSbAsU0VqLiNaaJNu2I8K2pFrrNE2SbAtapqRSSmtNkiTbmdl1nTNbpqRaSstsrdVaJU3TZAiplNJai4jMBGxLsm27lJKZEZE2NiDJdkTYti3JtqTMjAhAUmstImxL4kUEwf0iwvYwDMA0TSViPQxTaxGxWq9rKcMwllLWwzAMQ8t8+jOekZn33Htvaw0opdRaM7OWkpl33X33NLWz584tVytDrVXScrkspbTWhnHMzNlsdutttx0cHnZdt7e///Tbblsul/P5/MLFi3ffc28ppZYyjuPd99xjexjH1tr+wcFytcpMSaWU1WolaRzHEgFExNQakJkXd3fHcQRKKcMw1FqHYailtNa6rmambSDTvChAh/sXuMz2n/3lX508cXx//6BlG6fp4OBwsZh3Xbder2+64YY77747Iuazea1ld/fSehyObe+M49iyHS2Xb/x6r/d3j3vcXXfffc2ZM9M0nTt/4VVf6RXPX7jwjNvvODo6et3Xes37zp59xm23LxaLaRq7rpcopdx9770njh9/8C233HnXXbfdccdrvMqrSPHXf/e3UkzTeNMNN9xy882/8wd/cM3p0yCg1jpN03pYv85rvMY/PP7xd9x19w3XXXvvfWe3tjZvuP76c+fPX9zdveG66+66+55rr73m3PnzR0fL48d2lqvV1ubmpb39M6dP3XHXXdeeObN76dKLPfrRp06evLS3d82ZM9M0SeKFgAAASa211XpVSjlaLYdxbFO74brrThw7dt/Zs7XWu+6+Z/fSpbPnzp85feri7u65C+dnXd/alJn7BwdCwKW9Pdt935+/cHFnZ7vW2nXdwcFBOiPi8PAw7b39vdOnT4OXq9Wlvb2dra1hPTzhSU86PDw6c/r0bDY7ODzo+z6zHS2XSJsbG8d2dhaLxWIxb226tHep6+r5CxcOj47GaYqI2+64c3dv79Le/pOe8pTlcrVer3f39pbr1dlz5/b29o0z8+Ybbzx/8eJDH/ygc+cvrJarrnattXvuu6/WGhHY/ItAh/sXANu11ou7u+M4Leaz5Wp1/PjxYRjms9njn/Skvuse9pCHnLtwYXOxmM1me/v7tdbW2jRNJ0+cWA/DarU6ferUar3e3z/Y3FgcHh3N53Ohvu9aa3v7+zdcf/0TnvSk9TA88mEPi4jdS5dqrX3X7V66dPLEiYu7u8ePHZumCdja2rr9zjvPnD59dHQ0n802NjYuXLw4n81rLefOX7jmzOnlcrlcra679to777rrT/78L17p5V+u7/utzc2Lly5tb20dHS03NhZHR0ebm5slYv/gYHtry5CtRUSpdW9vb2OxODw62tzYqLWu1+utra3M5IUDHe5f4DLbtVbAdkS0aULislrrNE2llMy0HRFcJqm1JikixnGMiFJKay0kg23bkiJimiag77qWmZmlFCAza63TNNVap2mSBGRm33XjNJWItFtrtVbbtmut0zRJiohpmjLT9qzvkVprpZTWWimltVZKyUzbpZTWGiDJNlAiWmYppbWGjWSbfxHocP8CD1Brba3ZllRLmVqzDUhqrdVaW6bAtiRJ2IporQGATdfViBiGoe/7aZoiQpLtEjG11lorEQbbEdFak8RlIbXMUkprLSIyMyJsA5JsA7ZLKa21Ugpgu7UGREQpJSKGYZjNZsMwGEICMjMibAOSAEnTNEUEUGttrdnmhYPgfpKApz796XfceVfLXK/Xt91xxzCOmWl7tV73fb+3v18ipmnqum61Xj/t1ltb5v7BgaRaa9/3fd/dd/bsn/7FX8zn8z/+sz+79bbbbrvjjj/+sz/fvXTpt37/9y/u7tZal+v1MI5Hy+VTnva0WiswtQbcftddwNHRETC1ViJW67WkaZrW6zXQWpvPZrfdccelvb3lcrlar23PZrOu60opT3rKU/70L/6y77o/+4u/XK5WJWK1Xq9Wq1rKer0ehuH8xYuS7jt79rY77ljM55mZ9u133jmOoyReOKjcr7X2l3/7t/fdd/bUyZNPv+0Zfdft7e3fcsvNtz7jtu2trWmaNjc3Zv0M8YQnPem1X/3VgQsXL164ePHi7u7rv/Zr33bHHXffc8/LvtRLzWezi7uXpmk6PDrKNPjkiRO/9Xu/9xKPfextd9xRS/ndP/qjWsoN112/Wq+maZrNZn/2x3/cMs+ePXfnNXfXWo/tbD/+SU86deLEar3e2ty0OXP61NNuvRV4o9d7vfMXLuzt79919903XH/9S734i//Jn//5iePHH/Gwh505ffrCxYtPfMpT/u5xj3vkIx5+9z33/uXf/s28n21vb9m23ff9X//t3z30wQ/avXTpwbfc8hu/87ulxMHh4Ru8zuv0fW+bFwICACS1zGG93tjYmKaplrp7ae/06VP33Xd299KuQjdcf93Zc+fm89nB4aGkiCJptV63zJ2dnVLKNE3rYWitbW9vH9vZzswbrrtu/+CgZZ67cOGmG2644667dra3x2k6c+rUDddf31rLzPvOnVuv1xsbGzvb28Ytm6RxHKdpSvvG629Ie7laRcTh4VHf9YCkg4PDxWKxudjAHoZhGMd+1v/DE57QWgJdVw+PjsDXnD5zw/XXHR4dZeZytWotje+9775SSrZ2eHS4mC+uu/ZabP5FoMP9C4DtWuulvb3Ven3i2LHDo6MSEaWs1+uQFosFIOnchQvXnD59aW/vxPHj4ziePXd+c3OjlLKzvQ2UiGma0h7GcTGfn79wYdb3fd/v7u1de+bMXffcc+2ZM5k5TlOJWK5W+/v762G85aYbM7PrugsXd0+eOH7f2XPHju0Mw9DVWkoppewfHADz2Ww9DKdPnbrzrrtqrZl58sQJSbVWZ6Z9/sKFqbUbrrtuGAZJmdlaA7quu3Dx4ubGRq31aLlcrdeCm2644eLuru1SiiLms5ltXgjQ4f4FLrNdS1FEay0ibAOSgMwEgFrrOI611mmaJEUEYLu1Jsm2JEBSZtZasdMupYzj2HXdNE2AJECSJKC1Jsl2LWVqreu61pok25kJlAgk28A0TbVWICKmaQJsc1nXdZKGYZBkOyK4zHatNTMzs5ZiAKZpKqVIsm3bNi8c6HD/Ag8gybYkSZkpSZJt2xGyqbWO4ygpM4Gu61prgG0gImzbBiKitRYRtiWVUjIzMyPCdtohZWZEcJmkzLTNZRFRSgGAaZps931n01qzLSkzIyIibAtapu2IiAhJ0zRFBJCZkoBa6zAMEWFbEpCZknhRQPm0T/0kLpPUWluuVpf29rpa18MguOOuuw4Pj+bzWUQsV+t777tvd3d3Ppvdfe+9p0+eRHrarbdK6mqNCGC1XkuyDRwcHi7m82maAElPespTnvK0p50+eXKapr39/cyMiFrrMAxPu/UZx3a29w8O+r6vpdSuk3R4ePjnf/3Xmfn3j3tcqfX0qVN/8ud/sVqtgAsXLq5WqxPHjx8cHt5739mpTXv7+xuLhaSptUuXLt1z332ApPV6XWsdx3Ecp9vvvNO2IrDTHsex73vbvCigcr+I+P0//uOd7Z1xGg8ODlrLYzvb4zjNZv1Tnva01trGxsL2+QsXtre2L+xevP7aa5/01KfedvsdXa37Bwev9PIvt1gs/vjP//ym62/Y2dl+xu23257PZmfPnd/YWCzm84PDw/ls9td/93fz+XxjsXHf2bP3nTv7Si/38pubGxd3d/cP9u87d+71X+u17jp79mnPeMbLvtRLbW5snDxx4uy58+M47e5e8s1ezOdPedrTH/voR/V9d/e99z7owQ9dnT1779n7XvHlXu6v//Zv//BP/vSmG284PDoqUcZp2txYXNrbb9luuuGG/f2D3Uu7tXYnjh8fx6GUenh0GBGv+oqv2HWdbf5FEDzAfDY7e+7sej2cOX365ptujIjMHIbx0v7e3sH+Ddddv1gszpw+fbRabiw2JK3X643FYmotIkqpfdeNw3hpf+/pz3jGpUuXMnO1XrdstdaTJ0682KMfffLEicOjo4gAHy2XJUrX1ZCGcWitHT92rNaadmaG4nC5/Lt/+Iebbrj++PFj5y6cF9x0ww3XXXvNPzz+CRd3dzPz3Nl7F/P5Pffdd+HixePHjo3TuLW1NQyDQjvb26vV+vprr73lppsOD4/Onj+niNOnTh4tjwyr9erE8eOnTpw8Wi4jghcF6HD/ApdJ2tvfL6X0XWcbCdsgOFou57NZqVUwjKNgHKfjx4+t1uvd3UtnTp+6tLe3s71te29/f3tra7lcXtrf37106SVf7MX29/clzWazzLRdaz1/4cLm5uZiPr+0t7ezvW37nvvu297akrSzvQ2UUlprq/V699Kl7c3N1Xq9ubm5mM+Pjo66rhvH8dLeXt/3G4vFbDY7d+FCSKdPnbpw8eLGxsbR0dHGYrEehlnfI2FLOjw6Wsznwzgu5vPDo6NSysZiMU1TrVUSLwrQ4f4F7hcRtrHNs0mSBGQmIAkIaWpNUtd14ziWUlprQK11mqZSSmaWUsZxLKUIWiYgyXYpJTNt11qnabLd1Qq0zMw0CICIqLVO0xQRmdlaK6VkZimF+2VmKQVorZVSWmu1lmlqEWHbtiTbpZTMBGxHhKTWmiTbvIgguJ/tkEopUUpXayml7/uu1pBqrba7WiOillJKMZRS+q5bD0NESJRSaq3DOEaEJEnYs9nM9tRaiehqzcxSSomotYY0DAMwn83GaVoPQ621lLKYzUopfdeFNAxD11UgpNlsFhGzvrddSrHdWgMiIjMz03ZX6zCMpUSJsN11naSu66ZpEnRdFxERMQxDKUUSLzrQ4f4FwHat9b6zZ6fW5rPZarXa2Ni4uLvb9/3mxsa58+dvvvGmcxfOb29tHRweloha65Of+tQH3Xzz3v7+8WPHJPVdv1qvrr/uut1Ll46Wy435fDUMz7jttpd47GPvvPvu+WzWdd1111xz7sKF/f2DWss1Z8787T/8w4s/5jHPuP328xcuPuwhD87Mra2ts+fOXX/ttZf29ubz+fFjx259xm1bW5u11sPDw82NjUv7+zdef/1f/93fnTpxcrlenTx+vJRydLRcD+ubbrzxwsWLN99ww+HR8m/+/u9uuemmUurW5sbupUvXX3fdcrm65757r7vmmgu7u+v1+pozZ2xvb23xIgId7l8AJA3D8Id/8qcPftAtt91xR1fr7qVLtXZdV1fr9fbmVq31wsWLq9XqQbfcvF4Pd9x114njx+bz+eHh0cHhYd93W5ub09Te5PVf76d/8RdbayeOHZ/atB6G13+t13rik5+yu3fpGbff/vZv+ZZ/8w//cP78hY3F4uDocBiGrc3Nrc3Nc+cv3HD9dXffc0/aJ44dXw/DfWfve8iDHvSyL/VSv/uHf9h1/TSNW1tbZ8+eO3ni+HK12lhs3HPffZJms/74zs69Z88u5vPlapWZb/5Gb/Q3f/8PR0dH5y9esLnx+uvuve/sm7zB6z/16beeu3B+f//gxPHjx47t3PqM2645c/rVX+VVjpbLkPgXQQUA213XbW9vDcNw/Nix1Wr90Ac/eDab1VL+/glPaK0dP3bs4PBgZ2f7lptuevJTn3bNmdOz2SykkzfeuLe/33X1+LFjt952e8u88brrpzadOnnyjrvuOnXy5DCMx48fu7R36fTJk7avPXPmzKnTETp/4cJyubr2mjP3nj177bXXlFLm88XmxsZDH/Lg8+fPlxLXX3cd0uHR8iEPOmN7GIZHPOxhx3a277nvvuVy9aCbb1qtVjs7O9ddc02tdT6bj9M0juNiPt/Z2V6v1w+55UFHy+UtN998cHg4jqPxarW66cYbrr/22r39g+uvu3Zzc3MaR/GiAR3uX+AyScDUWi0lM7uum6ap67q77r57sVicPHFivV7XWp2ZdkTYbpl919mepkmSJCAipmlCCknSNE21VsA2D1BLWQ9D13XjONZaJbXWSimttVrrNE2ShmG879zZB918c2ZO09T3/TRNtdb1ej2fz4dhiAhJQGutq3UYx1KKpGmaZrPZMAySbM9m/Z133zPr+tOnT43jCESE7daaJF4UoMP9C9zPtiRJtm0Dtmuttm3b5rKIkJSZEZGZtiXZ5jLbpRTAdtriORgEBoGkzJQE2JZkENiOCC4rpUzTZLuUkpmSbEdEZkoCbEsCbIdknsl2SAbAdq3VdmtNEmBbEi860OH+Be5Xa7W9Xq9nfW8oEQBSa20cx9lsBrTWVut1a21jsVivh1pLrbWUUiLSbq3VWpfLpSRJXa2SWiZQSrEtKVsrpYzjqIhSim0Bkp0gICKmaeKyEtEya62Hh4e1Vkn8m9iWxL8ZVAAw1FLuue8+7IPDwzOnT4d0cHg4tXbvvffdcP31586fu+nGG5fL5YNuueVxT3zi0dHRer0+eeLk+QvnX/NVX/Wuu+85Wh7N5/PjOzsXLu5GiTvuvKvr6s033jiO0872NmJvb6/Wuh6Gne3tS5cuXX/ddevlcndvr6t1mqa77rnnIQ960DiOtdbDo6PTp045E+nixd1jx3aWq9WlS5f6vn/4Qx+6Xq8l8a8kiX8PqAAgsP34Jz7xvrNnrzl95vyFixFx39mzfd9FxG133tHVeu99Z41vvummw8PDRzzsYU9+6lNPnTyxWq8U8bgnPmEcx9lsdnF3t7V26sTJdGbmk57y1FnfX3vNmfl8ftfddx87duzWZ9z2oFtuPnvu3Ou+5mueO3/+9jvvPHvu/ObGYjab/c4f/EFEbCw25vPZU5/+9Ouvu+4fHv+E1tpNN1x/8dKlRzz0YfsHBwLbkvgvBpX7tdZqKSePn6i1gsdxvPnGG/YODk4ePz6fzefz2dbm1h133QlsbmweLZdnTp/+q7/9uxuuvy4zb7np5q6rTm9tbLbME8ePLVerrtatzc2trS3B2fPnH/6whx3f2RmH8SEPetA0TuthOLazs7W11fdPP33yZNobF3dns/7kiRN935+/cOG+s2cf9pAHHx4ePeiWW7jttkt7e9tbm/fcd9+pkydba5L4rwQ63L/AZZJKKUdHR+cvXLzlphtbZmaWUmwDmQlEBDBOkzNns1lmttYiIiKwkUrEMI61VkBgaK2VUpwpCSkzbUuSZDskQ2ZGBJCZJSLtEjG11nXdOI5AiTg8Oiq19l1nm/96oMP9C9zPdkSUUsZxlATYRhLPQRKQmZIEBoPAgC3JNgBIAmxLsg1I4gFsSwJsSwJsS7ItybYkLosI27b5bwE63L/Ac7ItiaseCCrPQxJXPRcIHsA2YNs2YNs2YNs2YBsAbPM8bHM/24Bt7mfbNvezbRuwDdi2zf1s8/zY5n62bXM/24BtwLZtwDZgGwAMNrZtc5ltwDYvHOhw/wL3q6VMrZUISS0zIiRlZolIe5qmWiuQmRExTVMpBQAkbCJiHMeIsB0RtiMiM1trpZRSiu3Wmu1SSkTYbq3VWqdp6mpNu7UWEVxm27YBEESE7VrKOE2ZWUoppdhurRlCKqW01koprbVSCtBaK6W01iIiMyMCsC1JUmbajojWWimltcYLAeXTPvWTANtd1z3+SU/+23/4+2PHjq3W61AcHB4eHh5OrT3+SU/a3NjYvXRpGIY2TTar9Wr30qU2NfBqvV6v1mnv7+1vbm4ul8uu685fuPAXf/3XwJ/+xV9ed801Xdf9zu//gfHU2rGdncOjo0t7++thPZvN7jt7bmdn+/Y777zv7Nmjo+V6vT5/4WLfd1NrfdeViIiopdx1991/8w//MAzDX/7N395w/XWK+N0/+ANJmbmzvb1er8+dvzCbzS5cuDDr+wsXL65Wq1LKuQsXZn1/eHiIdHS0XK5W2E+79dZpmi7t74/jmJmllL39/b7vJfGCQAWAiDg6Orr37H1v8vqv/zd///cXLu5O07Qe1mkvZvOj5XJvf7+1tl6vF4vF9tbW0259xs033nhp79JisSilZMvDo0PQq77SK65Wq/l8/oQnPfnw8Oji7u581t937twjjx07eeL402699ZEPe1iJeNwTnnjPffcu5ouu1vl89g9PeHxXu929S9nabDbv+/5P//Ivz5w69Uav97p/9Gd/dnBw+Fqv/mpnTp9+ytOefu7ChdmsP3vu3EMf/OATx44/9elPf/QjHxmhv/67v9ve2rrtjtvHcVquluM0lYhSCmh7a/Pw6Ojg8HBne/vEseNPefrTZrPZ1ubmMIyZ7eDg8Nprzuzu7b32q7/6xmKRmTxfUAEg0/P5fGtz83f/8I82NzdKiXTcdMONtauHh4dTm2optm+47vrZrL/1tttqKeDjx46dv3DxxPFjDV9z5sxsNhuGISJaazdcf91Tnvb02Ww2m80PDg+7vr/mzBmkv3v842++6aad7a2NjUWJOHvuPDDrZ+Dtra3VanXq5Ang6Ojo+PFjaW9vbZVSaim33XffMA7XnDl9YXf34PCw7/trrjkj6e/+4R9uuemmrutaa7XWYRw3FhsnTxyPUp5x2+3TNGYuVquV0zdef8P+/r7Ti9k8IrY2N8Zxsjlz+vT5ixePjo62Njdba5J4XqDD/QtcJsn2pb29UydPXrp0aWNjA7AdEav1GthYLKZpktRaa5nz2Wy5WvVd11rLzPl8PrVWS1kPQy2l1rp/cLC9tXVpb+/Y9nba0zR1XTeMY991mWkbKKXs7e+fPH784qVLmxsbrbXMXCwWq9UKqe+6UoqkaZqmaVqv15ubm3v7+8d2djJzaq2rdRjHvuts7+/vb29vHxwe7mxvj+PYdd3Zc+cu7e098uEPPzw8LKXUWqdpysxa69Fyub21BSyXy67vx2FYLBa2eUFAh/sXeIBSyjRNpZTM5DLbESFIm8skAZlZSslMSZJaa5JsR4Rt26WU1lqtdWoNW5LtUkprTZJtSbZLKa21EpG2JEnTNJVSANu2uUxSRLTWailTa4Ak2xGRmZIiorVWSmmtSQIklVKmaZIkSFuSJNuSMhOQxGWZCUji+QId7l/gfhEhyTYgCcjMWus0TQAQEZmJjRQRmRkRmZmZfd9l2jZgWwAgZaakiMhMSa21UkqEQjG1xmWSIqK1lpm2+77PzNYaEBGZGRER0VorpbTWaimG1lqtdRzHWkrLjAjAtiRJrTVAku2ImKYpImxLsl1LmVoDulrHaaq1ttZKKZmZmTwvKJ/2qZ8ESJqm6enPeEZEjNM0juPh4eF6GEop9953X621ZQou7e3NZrO9vb2z58/XUmzv7+9HxGw2u+POu+64887Nzc31MIQ0DMM4TVNrtZRhHA8ODkrEMAz33HdfROzt7T/jjjs2NzZWq9V6vV6vVk9/xjPm8/l6GJ7wpCft7e/bbG1u/tXf/u0dd939oJtuOjw8vLi7W2q9uLvb1XruwoXValUi7j17dmOx2N3bi1L29vdX63Wmn/DkJ5WIs+fP256mCThaLp/69KdvLBa11mEYSimX9vf3Dw6Ojo6OlsuNjY37zp7tu+78xYsh9X1vm+cClftFxNNufca99521vVytThw/dnF398Tx40dHy+Vq+ahHPOKpT7/1vrP3vdijH/OQBz/o7x/3+KPl8tprzlzc3X2ll3/5S3t7T3jSk1br9ROe/OSu626+8ca+7++++x6F3vj1Xu8XfvVXaykbGxvT1M6cPvW4Jzxxc2NjtV4/+alPdXo+ny3mi/vOnb3phhvOnT+/vbV9x1133nPffa/7mq950w03/Nlf/dXU2l/+zd9ee82ZpzztaaCDw4PMrLUD11rvvOvui7u74zieOH5sPp/f+ozbFov5pUuXVuv1arXK9IkTxzPzzKnTFy9dms/nwzgO4/jbv//7D775lnvP3tfVLkos5vO9/YPWplMnT73iy71sa00SDwSVBzhx/FhrmdluvP6606dO3Xv2rKT1MMxms9tuv6PWcvzY8WPHdiLi+LGdUuLaM2fW6/Xe3t41Z84otLO9fbSsZ06fWi5XFy5e3NrayszW2tbm5nw277puHIdSys7O9jiO15w5ffbcufl8furEyfl8hkh7Pp8/4/bbMTfdcMMwDHfcddfW5qbt2ayfpmk2m63W65MnTuxsb5dSnvTUp0qyc5qmWsvNN91051131a4uFouIOL5z7KDWUFx75sxtd9xxaX/vmjOnl6vVNE1bW1uL+fzg6PDYzrEbb7j+9jvuBGaz/qYbHrxar1trPC/Q4f4FLrNdSlmtVhHR9/0wDJm5tbX5tFufMZvNTh4/XmsdhqGUEhElYrVel1Kmaeq6rtZ6cHAwn8/TxpY0TtOs7wHbklbr9WI+t217HMeu62zbzsyu62zbtm17b3//mjNnVqtV13Wr1arUOuv7cRyXq9XmxsZytdra3ByGYdb3d9x1dzofdPPNB4eHfddJmqYJSTCO4+bmZmau1+tSa2buXrp0zenT5y5cKBGnTp48PDqaz2a2bXddt39wsLFY2JbE8wU63L/A/STZ5n6SWmtd12Um0DJLKNOA7VKKbUASl2UmIMl2RGQmUErJTAFSZgKllNYaIAmwDUSEbdu11mmaIsK2JNu2I6LWuh6GEpGZkjJdSkjKTEm2MzMiAEBSywxJUmbWWksprTUgM21LysyIwG6ZpRTbvBCgw/0L3G+apsVi4cxxmmaz2TRNtZS0MxOotWZmiZhaq6UM4wj0XXdweChpc2Njaq2rdZymEpF2RNje39+fzWaz2ezw8HCxWETEer3u+942dpTS2gQahqHruq7W1XotaWotpFprrXUcx8w8PDo6ffLk1FpmSiqlZGZErFar2WyWmbWU1hqS7YgAhmHouq5E7O3vT9OUmdvb2/P5bLlcdbVKWq5WpZT5fD5N0zRNknhBoAKApGEcn/DEJ544fqLv+xuvv+7xT3zS6VMnd3cv1a7ubG9jn7twYT6b7R8eXn/ttXfdffeDbr55Pp//2V/+1aW9vYc8+EHTOO3sbN91zz233HTT+QsXNjY2Dg8P+64bxvFptz7j0Y98xKVLe8d2dsZpeuTDH3brM26rXS2l7O3tnTp5stb6pKc89ZrTp1br4aEPftBsNvv7v/rrm2+6cTGfP/0Zz3jJF3/xP/rTPz04OHzIg27p+n5rY2Nq7cLF3a6rTt937lzX1Uc87GH33nffcrW69977Tp86derkCdsPefCDn3brrRHxN3/3d3v7+w++5ZaHPuQhh4eH+/sHB0eHL//SL/2Xf/M3D3/Yw/b29na2t685c2aaJkk8X1C5n+DS/v6dd989Te1t3/ItnvTUpzz11nJsZ+fg4GA+n0fE3t7e1tbWtWfO/P3jH/+EJz5pc3MzMy/u7i5XyzvuvOvipd1Z328sFr/zB3945tSp/YMDSYvF/OhoKXHrM247ODz8+8c/fj6bPeRBt9x2x+2HR0f7BweSTp08ubFYnL9w8Wm3Pt3mxPFjN91443K1bC3vue++3/ujP7rmzJmTJ05cuHjx7Pnzd9977/XXXntpbx8cEQ990IPHcZym8Zd+7dckbW9tb25uXLy0+w9PeMLpU6duuvHGJzzpSRcvXbrphhuOHzs+m83++M/+7CUe+9hhHLB/6dd/fZqm3UuXzp47/4iHP+z6a6+deMGgAoDtUsp111xzrpTNzU3bN15/fUTYPnXixNTaxd3dF3/MY+fz2TNuv/2WG2+SdOrECcNdd99z8sSJEyeOb2ws9vb39w8OXvrFX/zipd2trc1rTp8ep+nw8Ghvf3/Wd7fcfNOlS3tRouu666699uLu7o3X3yAxm83uvvfeRzzsocvVKltbD8PBwcGZU6ef/LSnHt/ZecTDHjafzcrxE4991KPvue/eF3/MYy7u7m5vbT34lpuXy9XF3d1bbr5p1vcnjh8/Wi6vu+aavYODErG1uXni+HFJ21vbp06evO6aa0C2tzY39/b3T586tbW5ec2ZMxd3d2+8/vo77rrr5htvykxeCNDh/gXu19UKGKZpiohaa2sNkCQpMwHbEYHdMiWFpIjWWill/+AgM08ePz6OIxI2oAhsQ4RsWmu2JdVasafWSikSNoKWCWRmKcV2SIqYpgkoEbYVAUjKbCDbkmyXUrI1JECAlJm2aykG27YlRURrTZLtUkpmApJaa7Z5IUCH+xe4X2YCgCQAkCQJaK0BkgzYAJLAtiGkiJCUmZmpiK7W1pog7VJKay0zI6LrunEcSymtNUkRMU2TbUncT1JmApJsS7ItSZJtSZkJSJKUmYAhJNtI2FwmCbANRARg2zYgyTYgCZDECwc63L/A/bquExiw087MYRyzNds7OzvANE0RERHOjIhpmpBKKa21o6OjWuvGxsY0TdM0nTt//tjOTmvZ992lvb3jx47N+n65Wp2/ePH6a6+9cPHi9tbWNE3rYThx7Jgk21NrXddlpu2+74FpmkopmRnSMI7DOPZd11rru652db0ebPddhySptVZKycwIOR0RabfWainA4dFRrbWUUmttrdkuEQoNw8iLAnS4fwGwXWt9xm23t2xd7cZpvPUZt736q77K457whMzc2Nhw5mw2u/Ouu2656ebVerW1uXnx0qWbrr9hnMZLe3t91z3t1mdce+01kq49cwb4oz/9s+3trTa1Ugtw/NixF3v0o//hCU+4+557au0kaq19169Wy1d4uZdr0/Rnf/lXp0+fesiDHtRa67vuKU97OuKG6667cPHi1uZma+1JT33qDdddt1qva62bGxvDMD78oQ/puu62O+4Yx3G9Xl9z5sx9Z8+eOnly99LexsZi/+CglnL3Pfdef92189n81tue8dIv8RKllGfcfseZ06dqrQcHB4dHy4c/9CG8KKACQEQMw/B7f/xHJ4+fmM36cZy6WrtSDg+PXvalX+rP/uIvl6vlxsbGar3+28f9w2q16vv+JR772D/+8z/f2tzc2987PDq65vSZJz/lqecvXnzZl3rJB9188+Hh4aMf+Yiu6/78L//qpV7ixe++59477rxzb2/f5qYbbrj7nnvuuPOuRzzsodtb24eHh7fedluUuPW225bL1c7O9vFjx267847tra3b77jz5InjT37q02Z9j/jLv/nbra3N7c2tvz97ttZyw3XXnj516s677j5aHt197707W1s3Xn/DufMX/vQv/uLM6VNbm1tTa5nt3vvOjtP4jNtuv/mmm7a3tv7hCY+/5syZ7c2tp9769Ec94hF936/Xa0m8cFABwHbXdS/5Yi826/uu6y7u7m5ubi7X65tuvKHWeuMN13e1m8363UuXptbGcdzZ3n7QzTeP47i5uXnnXXffeMMNG4vFzTfdePbc+ZtuuKHW+gov97KPetSjbr/99pd96Ze6/c47H/6QhzzowQ8ppWxsbJw5ffri7u5rvdqr7h8e7u5euvaaa1ar1W133Pnij3nMXXffffzYsa3NzZd47GO7rpum6dz584942EPHcVyuVjdef/0wjqdOnDhz5rSk2++8czabPejmm/uu29zYuPmmm+6+596trc2XfPEX297a2tnenqbp4u6lzc2Nne3tvutPnzpVIm64/vrrr7n23rP3PfLhD3/QTTe11nhRgA73L3C/WmtmArWUtKdpKqVMrXW12gYkAbaB1lrXdbYFSLZtS2qtARExjmMppZQiKTPHcey6LjMzs+s625IkjeNYSgkJQMrMzCwRthUBCAySgMyUJMmZl/b2NjY2aq2AJNsSNpJsA4Ak24Ck1hp2rRWJy6Zpss2LAnS4f4H7lVKAcRy5LCIkSZpaE89ku5QC2M5MAAm7lFJrHcfRNpdJiohpmgBJkmxLAmxzP0m2eQBJtvmXlFIy0zYvGkmAbe4niRcR6HD/ApfZPn/xouD6a69NW9I4jkfL5TRNJ44fB4DMLKUcHh6u1uud7e1aa0gtM0IHh0fPuP32m2+44djOTsuUNE3T3v7+NadPt9bGaZLE/16gw/0LgKRxHP/0L/7yhuuvu+/s2dlsBoR01z333HzjjfuHh+v1+sTx49tbW/eePXvp0t41Z073XTeMY99195079+qv/MpPffrTn/iUpzzy4Q+/7+zZm2+88Wi5PDpaRsR6WJ88ceKlXvzFV6uVJP6Xgsr9bM9m/c033fT7f/THD37QLZm5XK5Onjx537lzpZTNjY3Dw6O777nnwu7uLTfeeLRc3nf23MkTx++6+54brr/u7nvvPXP69Gq9vuPOu06fOnnX3XdfuLg7jOOJ48fvue/eEuXSpUvz+Zz/vUCH+xe4zPalvb1TJ0/efueds37W2tRaK6WC5/O5JGD30iVJi/m8tdZ13cXd3WuvuSYz+66LiOVqNU3TbDabpunCxYuz2ezYzs7F3d2NxaKUcvzYMdv8LwU63L/A/Uop0zT1fe9MJEm2AdvYSCXCYBvALqWM0ySRaSAiBGlLKqXYbq2VUjITaK3xvxfocP8C97MtyTb/SpIA27xgkvjfCyoPIAmQxL+JJP6vguCqFwUEz0OSJNuAbUCSbdu2bQO2bQO2ucw2YNu2bduSQrJt27Zt27Zt2wYkRYQkHkAgyXZE2AaAtAHAtm3bgG3bgG3b5rnZNoRUIoCIkAQAEcFltm3zL4LK82itAYvFYhzHUkprbT0MG4uFbduSxnHsug5orfVdN4yjpFnfj9NUa52mqdbqzOVqlZmbGxtpR4Rt2yViaq2UMk3TOI5TayWi6zpJtm2n3VpbzOcHR0ebG4tpaqWUedctVytJpRRJEdFaK6Vkpm1JAHbL5H625/P5NE1Hy2Wbpo2NjaOjo67raq2ZeXR0tFgsMrOU0nXder3mhYPyaZ/6SYCkzPyHJzxhc3PzCU96kuDsuXNdrfedO/dXf/u3s74/PDw8PDoahuHSpUvHjx+/ePHin//1X89ns4u7u9vb28MwPO0Zz1jM57fdcUfXdXfedffRavXbv/f7m5sb62EYhuH8xYvL5XKcpnvuu6/Wevc995w+ffrW22674867bn3GbYdHRzdcf/0dd931Z3/5V/sHB7fdcef+weHjnvCErc3NE8eO7R0c3H7nndM0nT1/fntra29//+zZc13f3XPffbZb5uHh4Wq1Wq3XJ44f/9O//MuLu7sPetCDnvq0pz316U8/efLkarn607/8q6fdeusdd919y003LhaLpz/jGX/4p39aSj1z6tRf/e3fHhwenjxxwjYvBFTuZ/vS3t6xnZ2bbrjhz/7yrzY3N5745Cdvbm4eHBw+4UlP6vv+QTff/Bu/87s7O9uvf+zY3/7DP4zj9Dt/8AfjOL3ZG73h0269ddbP/uEJT5im9g+Pf8LW1mZmnjxx4vyFi097+q3nL148c+oUMIzDiz3mMb/1e7+3t7d/+tSp1trh0eFNN95w79mzf/W3f3vzDTcA4ziePHniiU968ku/xIvfe999tzzo4bfe9vd333NP13WllGfcfvvh4eGlvf1HPOxh99x3b7Z82EMe0rI9+alPfYnHPvbUyZNPedrTZ33/0i/+4lNrT3na0x/yoAedOHH82M7OtWfOPPXWp589f/7YiVNHR8vMvLh7MUq5cHH34sXdhz3kIbxwUD7tUz+Jy2qtt95229HR0bXXXrt/sP+wBz+47/tpmrquu+b0GZu+7/quO3Xi5E033nhhd7dlXnP69MZi/tAHP3iapkt7l06eOHF4dHjy5IkH3Xxz33WnT50K6ehouVjMH/rgB584fnxqrUTZ3NhYzOcPf+hDDw4PJZ09d/7M6VMv+WIvVkpp2TLz6OjooQ9+8DPuuGNjY6PvotZ6+uTJaZpuvvHGw6Ojhz/kIa3l6VOnDg4Obrzh+r39/VrL8WPHTpw4MY3T5ubGyRMnZrPZxd3dxXz+4Ftuvu/cuflsdvL48bPnz6/X6+2NBeLi7u511167vbV11z333HTjDSeOH+eFAx3uX+ABxmnqai2ltNZqrdM0CUqt0zTZrrVO01RKsZ2ZfdcN4xgREbFer2ez2TiOfd+31iTZjojMlGRbEjCO42w2G8cxIlprmdl1naTMBEoptjOzlGJ799Klruu2NjczMyJsRwQwjmMtpWXWWqdpklRKaa3Z7roOGMex67rMbK0JopRpmiLi0t5e13Vbm5vDMPRdl3bX1XGcbPPCgQ73L/AApZTWWkS01rislJKZAJCZEWFbEhASUmba7mqdWgNsGwSSbEuSJMl2ZkrKzIjIzIjgMgM2l9mOCNtArdXOaWoRYdu2JNsRkZmSAEm2bUviOdmWJMm2JKBEGFprEZGZkmwDknjhQIf7F7hMUtrjMMxms8Ojo+2tzWlqXa17+/td1/V931rbWCzWwwBkpqTVahVRZrPe9sHh4WI+77ouM7uum6YpMyOiZTpztV7XWud9j9TVOk5T33etZUSsVquIqLWWEuM41VqHYYgIYJqmiJj1/TAMiui6bhzHWmtrrURImlqzXUqxDYQ0TpPtWd+vh6HrOmeO0yQJAGxL4t8Ayqd96icBtmutf/ynf3bPvfcuV+u/f/zjtzY3T508eefdd//d4x53cHh4/XXXPfXpT7/1tttOnzzZdd2v/dZvZeaf/Plf3HzTjVtbW2fPnfuzv/zLS3t7p06ejIhbn3GbpJMnT/7d3//DM26/7enPeMZqvb64u7uYz2vX3XrbbRuLxVOffut6GPb29++65579g4NSytOf8YzZbHbHnXft7GwvV6uQ7rrnnkt7e5f29jY2NtbD8NSnPW1zY+MZt98u6d6zZ+87e24Yhr/5u78vtSyXy739/XPnz89n867r/u5xj7vr7rsj4vDoaHt7O9MSgCT+baACQEQsV6t77rv3zKlTd9x150Mf/KCz587d8qCH337nnY96+MN3dnamaVquVk+79daXeOxj/+5xj7vr7ntuuemm66695o4777z2uhsOj44e+uAHr9brvb299TD85d/+zZu/0RvtXrz4N//w92dOnXrQzTefO39+Pp8frVbjNP3Rn/7psZ1jp0+d+ocnPOHUiZPnLpwHju3sdF3313/398MwvE7/6sePH5+mCfjTv/jL1Xr1eq/1WqvV6rY77njarbeePHHiSU95qoQkKaY2PeWpT9vb39va2nrq0299/dd+rZDuve++o6Ojxz/xSddec83rv/ZrgUH8e0D5tE/9JMCm6+o0Travu/bau++9dzFfdIVrz5z5m7//h8Ojo5uuv/6Ou+4+eeLENadPz/pe4tixY8M4DcMQ+NixY3/z93+/sVg8+JZbTh4/fs2ZM0h93/dd13f9fD4fxrG1dsP11x8tl/v7+zfecP3Z8+cFL/NSL5mZJ0+c2NzYuP3OO2+56cad7e2HPvjB4zgCEVGiLBaLhz74wcDJEyfm8/k4jsePHbvh+uvPnD69tbk1juN8Nr/pxhuuv/bacZwe/tCHzGaz+86dO33q1Nbm5vXXXnPm1KnMlMS/B+hw/wKXSZJku5Rie3d3t+v7rc3NaZoiwnZXa2ZOrdVaSynTOKa9XK7GaTxx/Pg0TaWUzGyZXa22bXddh70ehog4ODjY2NgopUgax/Fv/+EfHnTzLdecOT1NU4m4+95777733pd+iZewDWQmEBG11nEcgYiwXUsZxrHWahuQZNt2RACtNSCklllrtZ2Z/IcAHe5f4H6ZKck2UEqxnZmSbEuyDUiybailtNb6rkt7miZJtiXVWjOztRYRXa1Ta5nZdV1EjOMItNYk9X3fWpumCZAUEbXWYRi4n6FEtNZKKUBrTRIgKTMBSbYlAQbBrO9ba0iSbLfWgIjIzMyUxP0k8a8COty/wP26rrMtQLIdEbYBidZSkiTstEO6tL9/4vjxixcvbm1tdbXabpmCs+fPS7rh+utXq9Uzbrv95InjOzs7d919d+26rc1NZx47tjNNTYAUEWCnkTITiAigtdZ13aW9vc3FYhjHzNzZ3h6GYWqtlFJrBVprkgBJmdlau+Ouu04cO75ar1tr4zRef+21tdbDo6NZ328sFq21lllKwR6niX8VqNyvlPiHxz++lBqh1Wo1m83Onju/sVhsbm6cu3DhEQ992J133bWxsbEe1n3XTVO74667rr/2mvUwzvo+MxeL+ThOL/tSL3nrbbfdfOONf/Snf3rzjTfuHx7cfe89r/4qr/L7f/wnL/fSL3V0dHTh4sW+70+dOHHXPfecPHHivnPnMGdOnzp77vy115yZpmkYx2xtY2Pj6Oho7+AgWzt+7FjLXK/XD33wg6+75pqz588/8clPBm668cbdS5c2FovM3Fgsrr3mmr39/Tvvuuv8xYsPe8hD1uv1fDa7+eabn/SUpyyXq8w8ceL4zvb2+QsXlqvViz/mMfyrQAWAkJbL1R133f2Ihz30qU+/te+7S5f2Thw/dnh0dOttt11zzZm/+fu/29vfP1ouX/rFX/zOu+6+4647r7/uuouXLu3vH+zt721tbu1sb+9euvTij31MpiPijrvuuunGG5fL5bXXXLNer1/s0Y9++jOecfrUqUt7ezffeOPTnvGMWspf/93fnTl1ShFPfPKTF/PF0269dblanT9/4aEPfrAi/uJv/mZne+e6a665/c471+th/+BgZ3v7xhtu2N29dHBwuNhYPOWpTzt7/tzJEycu7u4+/KEPfchDHnJ4eHjq5Mnrrr32tjvuWMwX4zS5tVLK3z/+8RuLxYXdi9tb23fcdeeLPfrRfd+v1uuQeBGBDvcvALZrrU952tNAfVcPDo+uOXM6M/u+/7t/+IdS6sMf+pC77rlne2vrmtOn77jrroiwadmuOX364PCwtba1tXXvffe9zEu+5NNvvXU+n99y0017+/t/+pd/eeP116/XQ99362GY9f2pEyduvf32m2644c677772zJlSSq317LlzT33601/qxV/80t5e2tdfe+1qtb7v3NljOzuXLu1de80Zw/7+QYQ2NzZOnjixe+lS13Wr1erc+QubmxuL+bx23cnjx//oz/7sIQ960DiOrbUSZTWsrz1zZtb3F3d3Dw4Pr7v22ltvu+34zrEzp09tbm621iTxIgId7l/gfl3XYRsiorUGhHR4dDSfz0spkmy31mopABLQWosIOzPd1boehojITNuSFovFarUahmFzczMzp2kqpZRSsjVFZKZtSdM0tczNxSJtSa01SSUi7ZBapu1SynK5BLquC8kgKSKcCaTdWlvM58M4hmRw5noYIqKrNSKQMlutXWZO05SZkmwDkvgXgQ73L3C/llkiImKaJu4XEZkJALZrrWlna5IMIQGlFOypNUm2JQEGZyqiqzUzbdsG0g6p7/vWmiAixmkCWmuSACRsg8AgKKVkZq21tZa2wHYpJTMjorUG1FqnaQIiQlJmSrJtW5JtwADUUmzbrrXabq3xnCTxXECH+xe4X9/3e/v7q9XqzKlTaUcENiDJ4MxS66W9vVLK5sZGZobUWkv77LnzXVdPnjiBXWppLSVJsi3YPziYphYldra2ptb6vs/Mpz796adOnpym6eDw8EE332y7lAK01iRJkgTYlti9tLeYzw+Pjk4cPw5M09T3/aVLl+bz+dFyeeL48cy8tLe3tbnZ1bpcrZar1c72dolAEozTFFKp1ZkRcfHSpcV8PpvNzp0/XyKOHz+OjWRbkmAYR54L6HD/ApdJevJTn/qkpz71phtukLS9ubV3sF9rXcznF3d3Nzc3s7VpaltbW+M0LpfLE8eP33HXXQ9/6ENPnzz553/1V9tbW1tbW5sbG3fedffm5kZE3Hvf2Wuvueb4sZ177r1ve3vrKU992su99Evt7Oz88Z/9+YMfdMvBwcHtd965s729XK1e8sVebLVaPeXpTz954sTpkyfXw3Df2bPHdnbuve++G667/tLe3l333PO6r/kaf/sP/7Cx2Ci1PPZRj/zbv/+H2++888brb7jv3NmHPeQhXa1nz5/f2tw8ODy87+y566+9tnZ1mqb5bHbf2bOv+HIvd/7ixac+7Wm11ptvuukJT3rSzTfeeHh4dMddd73Yox99uDzqu2730t7JE8fX62Gcxpd+iZfITB4IKgCEtFyt7rz7no3Fxtlz52spt99552K+mPXdXzz91lOnTna1e+yjHvVXf/u329tbh4eHN1x//V//3d/dcN3199x737Ht7VrrcrW65777+q4fp/HW2287trNj+ylPe2qt9TGPfFSt5WnPuPWaa8689KlTZ8+fe/AtN+/vH5w+eXJqrau1tXbbHXdO4/Tkpz710qVLl/b2Dg+PpjY98uEP//vHP357e6vrKnB0tLzrnnswD7rppnvuu282m/3N3//96VMnn/6MZ6xW6xPHj919zz0XdncffPPNF3YvLper48ePPeP220+fPHn2/Pmjo6P1MNau+/O/+qthGI6Wy5PHj0eJ2+68Y3//YPfSpUc/8hF33HXXbbffce01Z6bWQuKBQIf7FwDbtdanP+MZBwcH115zzXK1Oloub7v9jkc87KGbGxuX9vZOnTy5mM9vvf32rY2N+Xxx79n7rjl9pu+7zDx54sRf/PVfD8N4/XXXrlarne2dg8ODne3tv/n7f3jkwx62f3DwyEc8fLVaPe3WZzzswQ86ceIEME3TH//5nz/4lluy5aX9vZd8sRe7cPHiX/z1X1975ppaS9/3R0dH29vbx3Z2pmk6e+5cKeXhD33oPffed2H34sZi8fCHPOSJT3nKNLWdne3VanXm1Kn9g4ONjY2777mn6/v5bMZlBwcH115zTWbO5/PMXK/XkoCz585fe82Ze+69r9a6s7197sL5+Wx26uRJ2xd3d7tab7n55mmaJPEsoMP9C9yv67qQWmuSbC9Xq42NjcyMiMxsrfVdZzvtWsrUmm1JmTlN03K1OnXihCFbiwik5XIZERuLxWq9ltR13TiOrTVA0mI+H8ZRUolYrdddrS1zHMftra2pNUm2W2uSSim2h2Houi4iMnMcx1nfI2WmoGVGRGut1grYBgSKmKZJYBtJEpeViNZardWQmSXCdssGigjb0zTxXECH+xe4n20AkFRrba1FhO3WGtB1XWsNAFprERERrbWIKKVgD9OEHRG2gYiQNI5jrTUzuayU0lorpUzTFBG2bZdSIqK1Jqm1FhFcZjsipmnqug7ITECS7cyUJCkzJdVaS0Ta0zRFRGsNAEopQGtNku2IyEwusy2J50cSzwWC+0mKCEmlxDiOd9x1V4l4wpOf/LRbb+26brlaPekpTzk8PNzf39+9dGk+n9939uy9Z8/2fb9er2+/485hHEtEKWUYRy5rrd1x111934/jWEqxXWtdrVZ93x8dHZVSbEdE13XrYbj1ttuAzCylZOY4TZlZSlmtVpsbG2fPnTt77ty58xcOD4/OX7gQEaUU4B+e8IRSynw2u+vuu//m7//hL//mb267446n3XqrpFJKROxeurR76VKt1XZEDOMYEREhqZQiSZIkSZIkSZLE84LKA/zW7/1eKaXv+xJx731nb7juuqc9/ek3Xn/Dr//2bx8/duze+87eedfdtavZ8uDo8JrTp+ez2YMe9KDh4u7td9759GfcurO986hHPPz3/vAPjx87vlqtSi3nL1y4776zy9Vye2vr9rvuOn3y1OHh4fHjx+08fuzY3z3ucY955CNvufnmP/2Lv7i4uzuOY2v54Ftu/su/+du9/b3Njc2tzc3lejXr+4u7u7bHadpcbESJi3/2Z49+xCOuv+661tpTn/70pzztaS//Mi9z1z33RGg+n+/v799w3XXPuP32p9166zhNj33UozLz4u7uwcHhfefOnTxx4uLuxb7rX/PVXtU2LyIIAJDUMncvXQqpRJy/cPH0qZOZ+bCHPDSdZ8+dO3/hQq211rpeD8vVahiGUIzTdP7cua7v1uv1fefO7V66NIzjMIwHBwebGxullGzZ9d3u3t7td94V0tSmW26+6e577+n7frlcHS2XpdTlctla297avuuee2697ba0+7677tprF4v52fPnSpR777tvc2NjtV6Pwzib9avVarVaSaq1DsNw4vjxm2+86cTx4zvbWzdcd9299903TS0iLu3tj+N0zekz8/kceOrTn37n3XfffOONwzBcuHixlGKbFx3ocP8CYFNr7O0ftNYiorVWImazGTC1dnBwuL291Vrb29s/dfKEFEfLo/V6PY5Ta+3BD7rl8PDw4OhoZ3t7mqZ/ePzjX+LFXqzWKunSpUvbW1t7+/vHjx27tLe3s72ddi3l3rNnT588dXh0uLFYbG5u3nn33RuLBTCM4+mTJ1erFZIgMy/t7V17zTV33HXXdddcs39wMJvNZn1/aW9va3NrsZjdcdfdN153Xdd1y9VqmqZL+/vz2ezixd0H3XJza+3i7u729vZqtTpx7Njd9923mM9n/SxKLI+WiGM7O5nJiwh0uH+BywwlQhJX2GkDkiKitSZRSp2mCSilZCaXZWZERERmtta6rrOdmUApJTMjorVWSmmtAba7rpumqZTSWsvMvu8zE5A0TZMkwHZElFLGcey6bhzHUopt26WU1lpmdl03TZNtSZJKKbaBaZok1Vpba5Jaa33fZ2Zm2o4IYJqmiABsA5J4IUCH+xe4n8BgOyIys5SSmQIkSRExTZOkzARqKYbMBCRJykxAkm1JmSnJNiBJUmZGRCllHEdJmTmbzdo0GTJTku2I4LJSyjRNtiVFRCllmibbgO2IsG1bkm2gqzUz05YUEbZba0ApJaRxmiQBtVbbQCllHEdJtdbWWmba5gWB4H6ShnGcpikibr/zzlLKcrkEWub5Cxdvve22Z9x++zRNd9x1l6Su686eP3/3vfdKioij5fLOu+/OTEnjOE7TtF6va62ttVKKbdur1aqWMgzDU5/+dKC1tlgs/ubv/u72O++cpqmUkpmSxnEcx/Ho6OipT396ZpZSbJ+/cOHpt956eHRkW5Kk9TBI4rLZbDbr+zvvuefs+Qu1lP2DgzvuvOvOu+4qpdRaL+3tPeOOOyLCdinl7/7hcU940pPvuvvu3/2DP7B9cXf3z/7yL+87e/bg8DAieEFAh/sXuMz27/3RHy3mi9VqdXh0eOL48cOj5S033fSM22+bzWYRsXvp0vGdY/fcd+/rvdZrrdfrv/2Hf5A0jOPNN9744Ftu+YfHP2FqU2bWUkqt69Xa+Gi5vO6aa6695prHPeEJN91w40Mf/KA/+fO/OFoe9f1stV696Ru8wS//+q8v5ouNjcXU2i033viM22/PdK315IkTT3zKk0+fPNXadHB4hJjG6djO9sVLlx718Ic/+hGP+LXf/p1ay0Me9KD9/f2TJ05c2tu//c47JGW677oTJ07cdfddL/FiL7a9tfXnf/XXrU02W1ubr/Vqr3bnXXf95d/87amTJzY3NxfzxY03XP+Hf/KnG4vFS7/Ei29ubIzTxPMFAQCSMnO5XLZsF3d3+76PiAfdfNOtt922t78/DANw3TXXHC2XpZRSytFy2XWd7fV6XUvpal2ulhd3dy9cvHjtNdd0ta6H9YWLF/uun6bpCU980jiOt9x043oYWrb5fH5wcNDVavuhD37wbNZPrQ3D8JSnPf3i7u71111rG/ygm27e3t667+y5vu+uOX36xhuub5nDMMxms739/fMXLyyXq2fcdvt9Z88t5ouj5dF8Np+maRiGjY3F/sH+3v7+4eHhMAwRKqUcLZd912Vr5y5cmM9nEXH+/IWNjcWx7e2HPuhB62H913/3dxd2d23zfIEO9y8Aklprf/k3f/vIhz9se2tr99Kl7e1tZ07TtFytNjc2JLXWDOv1+sTx48A99957+tSpo6PlbD6b9f1qvT46OprPZpubm3//+Mffdfc9r/Vqr7pcrra2Ni/u7m5vbdVaZ31/77lzfdfN+n65Wp08cWK5XEbE+YsXr7vmmrPnzm0sFovF4uDwcL1eHz92DMjM5Wq1sVgcLZd936/X663NzVrruQsXjm1vHxwe9n1/6uTJ5XJ5z733XXPNmf39/cVigX1weLizszOfze66++7jx46N0xTS9vb22XPn+r5fzOcXLl687tprh2ForQHjNEnaWCx4vkCH+xe4XykFaK3VUlqm7YiIiNaa7ZCQJLXWbPddN7UWUssEJEWEMw3jOJUSpZSQptZqra0127ZrrdgGwdRaRNiutU7TVGvN1tIupZQS4zjZDklS2hFhW1Jm2q6ltMyIsD1OU4noah2nqdbaWgMiIjMzs+u6zASAzKy1OrNl1lrHcZQkCZAEZCbPFwQP0FrLTEktE+i6TlJrk6Su65C4zHatNW1JSH3fZ2aEIiJKkbSYz2azWWaO09T3fWut66okSRFhaK0h1VojotYqyXZmRimSpmk6ODzKzL7vDREhqbU2TZNAkm1AkgB7MZtFRNoRMY5jKQWQJKnvOtuttYiIiMxsraVdS8nMUkqtFZCUma01XhDQ4f4FwPas72+/886nPeMZr/ZKr3RwcND1/blz5xeL+cZi0TIvXtw9fvxYZo7jeM2ZMxd3d8dx7LtutV7fdfc921tbW1ub4zj2fb+xsbFarc6dP99au+G66w+XR6dOnLjv7Nnrrr22lHL3vffOZ7PdS5dOnzolyfZyubz37NmXfamXOnvuXNd1f/13f3fu/IXrr73msY969HK9Ojg4ODg8fNmXeqm/e9zjbrz++systR7b2bnn3nu3traOjo42NjZ2L13a2d4ehqHrumM7O3ffe+/xnZ2Lly5tbWwuV8uIuObMmXvuvVfS0XJ54tjx+WK+v78fEV3XrVarra2tNk1d33e12ub5ggoAtiU98SlPuevuexbz+WKxeMZtt1937TW1Vtvnz18YxmE+n99739mNxfxN3uANfuN3fqfvuo2NjUyDj5bLJz31KYqopRzb2XnGbbfP5/NTJ0/ceffdJ44f/9u//4dSYj2MJ08c/8u//ptbbrrpphtv+Llf+uWbbrxhmqZaK1BLefyTnnTPvfedOnlia3Oz67o//NM/eciDH3x0eHT+4sVf+Y3f3L106a677zl3/txNN9z4Gq/6Kn/8Z3/+4Afdct/Zs4dHR9tb25sbiwsXL954ww0v/eIv/md/+ZfHjx2rtS6Xq3EcF/P5sZ2dv3/846WQuC3uSOe99923tbl1zZnTT3n60x9yy4P6vrvummtvvvGG9TBI4nlBBYBSysHh4c729k033HDh4u6999138sSJaWrHdnZuv/NOxGMe+cij1apN7dixY7XWa06fns3mW1ubd99zz5nTZ1ar1c033rixsdFau+fe+7a3t6675trWWn+yH6fpumuuOX3qJKiU8thHP6qUcvzYsWuvOXPDddcfHB6s1utj2zvL1aq1duL4sQfddLNCTtusVqvNzY1rr73mvrNnS4kbrrsuQtdecyYirjlzem9vv5Sys739iIc+bD0MhvV6KKWcPH5Coqs1NhbXnLllmtowjg+6+RbwweFhrXWaps2NDaC1PHn8+GzW33vf2Yc86EEtkxcEdLh/gctsd7VGxNTaOI6z2Wy5XHZdZzsibJeItKdp6roOmKZJkiRJmVlKyUxJQGaWUqZp6rputVotFotpmiRxP0mZadt2rbW1JonLJNmWVEo5Ojrq+x6otQ7DUGvNTNsRMU1T3/fTNJVSMjOkcZpqrcA4TfPZbL1e11oFBjAIkARERGuttVZKsR0R0zSVUmzzgoAO9y9wP9u2JUmyHRGZKck2YFtSKcV2ZkqyzXOSxAPYjojMlMTzI8k2z4/tiLAN2I4I29xPUmaGZJ5Jkm1AUmZGhG2eH9uSJNkGAEm2eSFAh/sXuMx213VAa63WOo6jpL7rxmmqtU7TVGvNzNVqZXtjY5Eto5TMBCKitVZKGceR/5OgAoDtUsqFixcf/8QnPuLhDx/H8fprr12tVrfedtv1115779mzZ06dOn/hYu3qn/7FX7zMS77kfDabzWaHh0fz+SwiDo+Ojh87tre3d/1112Um//eADvcvAJLW6/Wf/MVfjON0cXe3tenN3/iNn/CkJ21tbu3t76fz3Lnz21tbLVvXdRuLxcXd3d1Ll06dPGm7tXzMox75l3/9N6v1+s3e8A22tramqUn8nwIVAGx3Xbe1ublarXZuvmm9HjYWi+PHju/t7504fvzchfM33XDDtdecubh7aXNz4+DgMCJOHD/x0Ac/eJqm+86eWy6XN1x/XWt58dKlWmvf97b5vwR0uH+ByyTZtt133XoYSikhrdbr+Xw+DMNsNpumKSJsR0RrLSJsh5T2OE3z2WwYBkmAJP6PAR3uX+A52Y4I24aQMjMiMlMSl9mWxGW2JUnKzIiwzf9JUHkekmwDAtuSbEvifpK4nyTAtiTb/F8FwVUvCgiuelFAcNWLAoKrXhQQXPWigOCqFwUEV70oILjqRQGVB8hMrrosInggqNxP0tbWJoirYLlc2uZZoAKGEnF0dPRd3/u96/U6Imz+fxKks+/7d36Hd9jc3GytSQIAHe5f4LLMPHfuXNoC8/+UwBDS6dOnS4S5H+hw/wL367pOElfZ4ziaB4DKAwzrNTaAhEQmV0Tw/4wkHggqz2LHbKZ+BvY4eppie9utSZGHB0j8fwaVK2z1/XTXXZe+49tyeXTsvd63e/CDzn/JF7azZzde9/U3X/8NvV4h8f8WVK7I1Gyx+63f1D/yUfW66y9973fNXvwlcm9v8/XfcP24f9h4nddF4v8zCK6Q3EavVotXf43Fa7ymSm1nz+alS6s/+5PY3lYp2Px/BsH9VKpbm26/fbrrLq+WSLMXe/ETH/Wxhz//s3l0RBT+PwMd7l8AyNTG5vKP/mDv+7+X1rbe+m1nL/7iF77sSzyOG6/xWtvv8q4+OiKC/7dAh/sXuMLWYpGXLnkcy+nTtPRqmYcH5drrvFzy/xzocP8Cz5JJrUiMIxIRKsXDQAT/z0HlgSLIxCYCwPY4EsF/GtuS+J8PKg9g2zYgsG07IrAB25KAzIwISS1TEBGZCUSEbdsRkZkRkZmSgMyMCCAzIwKQlJmSuq4bxxGwHRGZKSkzJQGSACDtkABJtm0DQETwXwN0uH+B+3VdV0qx3Vrru47SjasjQ2bONzZzHFpmN9to42oYhsXmJvby6GixsYHK8nC/67qIWK/Xi42No8PDjY2N9XpdSqn9Ylgd2p4ttobVoaRpmvq+z8wLFy4cP35cUt91R8vlxsbGNE21n5ENe5qmtEtE6WfDaglkZq21dh2KNg7DMNjmvwDocP8C97vr7rv39vb6vt/e2rrn3nvvO3vupV7yJZze3Nz44z/901tuvmVrc/Ov//ZvHv2oR91www1/8qd/Op/NXvZlXuYv/+qvDw4OXuPVX+3ue+5ZLpcPfchD/uqv/+blXvZl/vpv/uZhD3vY/v7+3/7d37/SK7z8fD7/7d/93Vd+xVcaxuHUyZPnL1x40pOf/Du/+3uf/Akff2lv75577nnxF3uxv/7bv73m9OknP/Wpx48dK6WcOnmy6/rVevWUpzz1JV78xQybm5vnzp67975718Nww3XX33jTjYv5PDP5zwYVAGyXUr7/B3/wyU95CtJLvcRLXrhw4fY77vizv/jzbG21Xm9tbj7u8Y9/2tNv7fv+huuvv+nGG7/l2779Qbfc8tu/+3tPfspTXuHlX+71X+91f+hHf/Tv/u7vP/LDPuwjPuZjvuvbvvWLv/wr3u2d3+kpT33aweHBH/7RH9WuHtvZecITn7RcLt/mrd7yu7/3+w6Pjl7yJV4iM3/zt3/7O7/7e77yS7/k4z/pk1/9VV/1woULb/kWb/513/hNL/1SL7m5uXnbbbffeOMNv/eHf/DIhz/8JV/iJb7pW79tGNZv8sZv/PO/+Ivv997v/WKPfex6vZbEfyoIHiAzb7zhxp3t7bvuvuslX+LF3/s93uPGG2644847b7/9jg//kA/58A/5EEnHdrZPnDixc/zUK7/iK37g+73fU5761L7vz5w+Pev7k8dPnDhx4g//+I9f7VVe5Q//+I9PHD/2D49//DAOFy/utmxtap/2qZ/1pm/8Rk97+tO/9Tu+o7XWd91iPt/e3l7M5w9+0IN++3d/9yVf4iUU2tzcPLZz7KVe4iUuXdo7Ojx6jVd7tZMnTqzXQ9/PdnZ2WrbZbH7m9Omd7e3jx4/XfsM2/9mgfNqnfhKXRcQf/NEfKeL0qVN//Td/u7219dM/93PHdnbOnD5z+tTJX//N3/qzP//zaZrW6/WDbrllZ2vz677pG//hcY97iRd/8XvvvWdjY+Oxj3nMk5/y1MPDw6c89akv9tjH/O3f/f1Lv9RLXTh/4eLu7ru/yzvffc89s9nsZ3/uZ259xq03XH/9B7zf+/3t3/39ar3u+/4xj3n0HXfeeXBw8LjHP/4lXvzFLu3trYf1xsbGNE3DsL7zzrtOnTp59933zGb9+fPn/vTP/vzhD3vYHXfeee011z7t6U//kz/7882N+UMf8pBxHCXxnwd0uH+B+126dMnQ1Xrp0p5CFy9efNhDHzq1trFY/MPjH3/DddfN5vMnPvGJN1x/w+nTp5729Kf3ff/whz3sSU9+8v7+/mMf85hxHMdxXK3XmxsbB4eHD33YIy6eP3txd/eaM2eOjo76fvb3//APL/HiL7ZcrRbz+dHR0cHBwb1nzz76kY+MiGEYjpbL7a2tcZruuuuuUuqNN1w/jqNtRTzt6U9/jVd91ac87WkXd3df6iVe4vFPeMIwDGfOnLn77ruvveaaG2+8cZomSfznAR3uX+B+tRaQ7VIKUGtdrVaClrmxsTEMg+3ZfD4NwzhN8/ncmcvVarFYRInl0VJSRITUMkspy+Wy67payjhNEZGZi42N5dFRRGRmKRFRatetlktAUimltSap7zrDMAySANuz+fxgf38+n9daDg+PNhYLRYzj2PX9NA7r9SCJ/1Sgw/0L3M82D2A7ImxLykxJgG1JkjJTkiTbtiPCNg8gyTYgybakzIwI25JsA7YjArDN/WxL4gFsR4Rt2xGRtgCwLUkS/9lAh/sXuOpfBMFVLwoIHsA2YJvLbPOfyTaX2ebfwTZgm/88EDxArVVSV6ttoJRi27ZtSRFh27Ztg23btm3bjghJkiTZtm3btm3btm0DtgHbkmqttoFaq23btgHANmDbtm2DbduAbcA296u12q612rZtm8ts27ZtG7AN2LZt27ZtwDZgsG2b5wt0uH+By2xf3L20ubE4ODy8/tprV+v10dHR8ePHnRkRy/V6Gsft7W3stLGRQjLPdHh4WGp1pmFzYwM7bWwkwHZEtNZqLa1lLWW5Wu0fHFxz+vRqvd7b37/m9Om0gWmaJEmyHRHYinAmkqRsTRG2SynTNEnKzIu7u9ecPn3fuXNnTp8GJKZxMpRSAEmSpmmqtU7TVEqxbTsisFtmichMJEnANE2SeC6gw/0LgKRpmv7yb/7mpV/iJe6+997dS5cyE3P9ddcuV6uz586XUvb29nZ2tjNT0sHh4Yljx0stly7tbW5ujuNw7vz5l36Jlzw8Orr9zjsWi8ViPl+uVuvV+uTJE6vVqta6mC+OlkcRIXR4dCjFqZMnHnzLLX/4p3+a6c2NxXw+X6+H66695kE33/ynf/mXp0+e3Nvfj4hpmi5d2tve3qqlHi2PHvygBz3jtts2NjZCYXs9rM+dP3/9ddetVitFhBQRmxubj330o/7oT/901s/2DvaPbe8cHB5ee82ZCxcvnjh+/Nz58zfdcMOTn/b0m2+88eEPfcgf/PGfXHPm9Pb29v7+/tlz517+ZV6m73vbPBBUALAdEXv7+8vV6tprrvnzv/qrEuX48eN7B/uS1ushQhuLxdNuvXV7a3t7a2trc2u5Wj39tmcc3zmWmSdOHM/MxXzW9d1Tnv608xcunDh+fHNjc3Nz8+LF3aPVcnOxcfc99545ferue+598INuue2OO06fOn39tdfed+4csF6v7zt73y033XS0XE5tOn3q1OHB4akTJy9d2jNuLXe2t6ap3XnX3decOfP4Jz7x4u6uFC/7Ui/5+Cc+cffS3o03XH9xd3eapgsXL54+daqWev7ChYc+5MFS7O5dunhx9/Dw6PjxY3//uMdff92199x733K1/Nt/+Ifdvb2TJ44Ldi9dOloebW1unj1//uYbbtzc3FytVhHBA4EO9y9wWUQ8/dZnpPOWm26665579vcPFNrZ2u76bhzHvusiYhjHUsrmxkZmhrQehuVqdeLYMaSjo6Ou6zY3N8+fvzC1aWOx6LpOME7TX/3t3z7mUY/aWCzOnT9/7Zkzs9ns7nvv3drcnM1mmxsbT3zKU06dODGO03w2Ww1rwc033fiUpz59vphna5k+fvzYNE1d1/3V3/ztqZMnbrzhhvvOnj1+7Njmxsbd9963sbE4Ojrqu+7E8RP7B/uSImK1Xt90/fX7h4chXdrfP3/+wnpYv9SLv/itt91+3bXXXNzd3d7aOjg8PH7s2M729tOf8Yyd7e39g4Na6vHjxzY3NmzzXECH+xe4X9/3wDAMs9lstVq1zM2NjdaaJNu2QzJkpsAQEZJaa0BE2M7MWgpSZmIj2W6t9X2fmaWUNk1p11oz03ZmzmZ9aylIOyRgGMfZbOZMg0RrKUAax3E2m2VmKSUzM1utXWZGhO3WWkRgA5LGaSoRhlrrcrmcz+ettVpray0isrUopbWWmX3XZWaUYru1lpk8L9Dh/gXul5mAJNsRUUoZx1FS2rWUiJimiedkWxKXGULKTEAS95MUEa0125IA20BESAJaa4Ak20BE2LZda8m0bS6TlJmSbEviMtsRAUiyLck2YMBGcmZE2AYiorUWEaWUaZq4n20AiAieL9Dh/gXuFxGApMyMiPMXLhzb2Sml1Fov7u7u7e9fe+ZMRJRSAOy0JdkupdiOiDZNigAyU5JAEbbvO3v21MmTEYGNAIU0tTYMw9Tase3ttDNTUiklMzOz1nru/Pn5bL69tTm1hp12rTUzbQOllGma+r7fPzhordm23Xcd0mq1Onn8+NQaEBG2JUm6976zN95w/aVLly5eunTy+PGNjQ1J0zR1taYtmFrj+YIKAJKGYbjz7rv7rnvGHXdk5qu+4iuev3DxHx7/hK6rp06efOrTnz6fzy9dujSM48729hOf/ORXevmXb5l/83d/13Xddddce899925tbh4cHp45dfrg8HBjY3F851hr0513352ZpdYTJ0784R//8ebGxs729r333VdKffAtNx8eHT3hSU9+icc+dm9//9z58yeOH5+maXfv0mu/+qs/6SlPefyTnnTm1Km9/YOXf5mXHsfpH57w+NMnTx0tj7quk9Rattb6vhvHaWNjce99ZzOz1jLr+2lqr/Xqr3bvffddf911f/HXf7176dL21tZiPr/jrrsu7V16xu23237YQx5y9z33bG9vX7hw8eabbnz6M57xkAc96JEPf/gwDJJ4LhDcLyLuuOuuf3jCE1tr89lsb3//8PBwGIeNjY0nPOnJO9s7q9XqGXfcsb21defdd5+/cGEcx9VyOetnO9vbz7j99nvvO3vu/Pntra2j5XJvf+/2O+649bbbnviUp9x+552HR0fY0zQdHB4eHh49+alPe8btd1zYvXjNmTOz2exBN9/8lKc/7dz588YXL+0+4clPOjpajuN437lzx7a377jrrgsXL0zTtH+wn+nb7ryj7/phGA8Pj+64607bt99x5/XXXXv7HXdcuHhhPuv7vr/z7rtba621rutaa+M4bm9vI/3DE54Iuu2OOzYWi3GcbrvjjjvuuvvW2267/rprn/CkJ589d365XIkXAHS4fwGwXWu95957l6vV6ZOn0rmYz1frdWut77rVen3+woXTp07VWu+5974brrv23PkLN95w/TRN62GQVEu5eOnSfDabz+bGly5dms1m62EoUbqujuO4tbXV9/0f/PEfP+ZRj6qlHB4dHdvZ2dneHsdx/+DgKU97+kMedMsTnvzkF3/MY2qt+/sHD7rl5vMXLtx39tyN11939vz5hzzoQbc+4xl33n33Szz2sX3fX9rba63dcdfd29tbt9x4owH74qVL25ub4zSN01RLuebMmXPnzx8/duzw6EiA1Fo7ODw8deLE7XfeefrUqcw8ODg8dmyn6zpJFy5cPHni+ObmZmbyvECH+xe4zNDVKqm1BtiWJDBIqrVMU7PddXUcp1LKOI6SIsK27VIKdtq2Sym2QzJgI2Vma01S13WZGRGZ2VqTJGm5XM7nc9tdrS2zlDIMQ621ljJOUyllmqZxmuZ9D7TMiCgRq/V6Npu11rislNJakyTJ9jRNXa1TaxEhMEiKiNZa13XTNEmKiNaabaCU0lrLTJ4v0OH+Be4nqZTSWrMNAKWU1lpEtNYkScrMUkpmApIys5QiKTNbZomopbRM24DtzKylIAG2AUm2Adu2Sym11nEcJWVmSC0zImwDkrAVUWsdxxGwHRGtNUm1lkxnJmC7lCKptSZJ0tRaLcV2ZkqyDUiyzQNIMmADkni+QIf7FwCbUmIYhic/9Wm33HzTYj6X1Fo7ODw8fuzYpb29g4ODG66/fpqmvu8PDg/nsxlg6Go9PDqaxnFjY+Pw6Gi1WrXMxXy+ubHRMruum89mly5dQioRtdZpmqbW5rPZ3ffee/zYsVMnT164ePHOu+566IMfbDsixmmaz2aZWUpZr9cRkZlp33f27DWnT0uaz+cHh4ebGxu11qc/4xmhuPmmG8dxrLUeHB5m5tbm5noYsA+OjrY2Nkops9nMNv8eUAEgQsMw/MVf//WFi7t7+3vHjx277tpr77r77nMXLkzTtJjPj+3s/MMTnvDgW255scc85k/+/C/Ww/qRD3vYar1+xEMf9sd/9mfjNG1tbi6Xq2FYRylbG5tR4t5773vQLTe/5Iu92J//9V8/6uEPv/X22y9e3D1+bKfWul4P956975EPf3jXdX/513+zXK2e8vSnz2ezWurW1ubLv8zL/MVf/42dd91z7+bGotZaohwcHty2uXVh9+KN119/7vyFN3zd13nik5/yjNtvW6+HqU3TNF137bW/+4d/2Hf9bNb3fd9a67vuwsXdB91804s/9rHDMEji3wyC+0my2drcBJ769FtrrcvVurVWa33QzbfYLqVEKUfL5cHBQd9199533/kLFyROnzr10Ac96PixY+M0Hjt27OYbb+z7/uYbb6xd3d7ash0R6/VwcHAwDMPp06evPXPN9ddd23Xd1uYWNmJjY1FK2d7aOrazc/7CxcViIZH2iWPH5rP5NWfOXH/dtadOnlRosVicOH5iGIfDo6NSopRy4vjxp91662q1lnTDddc95EG3LObzNjVJEbG5uXHh4kVJ/DuBDvcvAIYSsVwux2naWCwOj45OnjjxpKc8ZT6b3XjDDdM0tdZqra21Wuvh0dFiPh+GQdJ8Pp+mCVAE9mq9ns9m6/V6a3Pz8OiolLJYLC7t7QmVEkhd1zmzq/Vwuexqnc/nu5cudbXWrhuHISJsLxaL1lpEjOM4TtN8NrPdWpM0jmPf96v1emtz0/bupUvHjx07PDyczee1lNYaUGs9PDqKiMV8fnB4OOv7ruts8+8BOty/wGW2S4SklhkRmRkRklprgCTbkmxHRGZKkpSZgCTbQERkZkS01kopmWm7lALYlpSZkjKzlGI7M0sptgFJgG3bgO2IkJSZgCRAUmZGRGYCpZTWWimltcZlkjKzlAK01koptjNTkm1Akm1J/KtAcD9JhpZZa5UE2BbYllQiSimAJNullBJhW1IpZWpNkqTMjAjbtRSg67pSCpCZIbXWJGVmRNi2XWu1Lcl2ZrbWIgKQ1HWdbUmSSim2JUkqEZkpCYiIkFprpRRJtVbbtdbMzMxaa0hALSUiuq6rtdoupURERPCig/Jpn/pJgO2+75/45CdPrU3TNAzjweHBcrmcWjs8OjpaLodxXC6XpdZsrWXuHxwcHh3VUiT92m/91sZisbO9PY6jpKPl0pmr1WoYx2fcdlvfdcM4RsRqPTz9tmeUiGM7Oxd3d5/ytKct5vNxHIHlahURT7v11mvOnLm4u7tYLMZpOnf+wmIx39vfL7Xu7e/3fb9crfYPDqbWailPedrTrr3mmqc+7el33n33fDYbxzEiLly8uLm5ube/X2uVdGlv7/DoqKv1cLkchuHJT3nqfDbb3du74847tzY318Mw63vbvCigAoCkcRz3Dw4u7e3dd+7crJ9tbW4cHB5FaGOxOFquxnGopdZaH3Tzzc+44/b1epim8cYbbnjxxzym67oLFy5cf+21f/W3fztN7e5779nZ3o4ofdcdHB0+/RnPODw8uvaaM6v1+vprr7u4u3vDjbcsl8u77r774OBwuVoe29nZ29+PiN3dS3feffc99977Rq/3ehcuXnzarc+45szp8+cvDOO4vb31Gq/yKn/+R398eHS0sbGxXq9X69W58+eHcTw6Who/47bbF4uFxGw2u/2OO1/ixR578403/t4f/dGsn81ns67rpjZd3N29tHdpGEenn/SUp9Za3/B1X6eUYpt/EVQAsF1rzcyu6x7+kIcYzl+4sL21ef211z7jjju2NjePH7ve9u6lS09/xjMUetDNN2UmIOnYzs6lvf3NrS0paqdTJ092XXfqxMlay+6lSweHh9tbW6dOnnr6M56xf7C/ubFx9r67NxYbs9lsa2tzb3+vlDKOY631+PFjs9lse2t7Y7G46+677Vyvh/WwBj34lltCOnH8+HXXXpP2bbffcXzn2GKxaC23t7b29vZatlrKwx/6kFtvu31rc2Nnezszb7nxpo3Njb29vdV6XUvd2tyU1NWu6+owDjvb2xFhmxcF6HD/AmC71nr23Lm+77c2NzNTkm1Akm0AiIij5XI+m3GFVCL2Dw42FotSSmaWUoZxzNb6vrfdWgOm1rpap9aOjo7GaSoR15w5M45jZk6tdbVO07RYLA4PD7e2tvb2948fO3brbbfZfvAtt+wfHMz6HimkzAQkRcTRcrmxWFza29ve2rI9DMNsNsvMruuOjo76vo+IzLTpajlaLkspSOM4bm5spJ2tTdO0mM/T5kUBOty/wP0iwnZmApJsIwlsRwSQmREBZKYkIDNrrYCgZdqWBBiwJUWEMw0RITAAU2shAZLSFtiOiMzsum6aJkklomVKaq1JAmxL4rKIaK3VWqdpkiQpM4GQFNFaA4CIaJkhAYAkIDMlRURm8iICHe5f4H61VknOVAS2IjJTkqT1ep2Zi/k87XEcZ30/ThPQd90wjuM4rtbr7a0tQdd1wDRNpdZpmlbr9fbm5jiOLVPSbDYbx7GUYlsSdkQYpmmqpYzTtFqt5vN5rXWapnEc+77vah3GEei62lraBjJz1vfL1Wo2m9mWAJWIw6MjSYv5vGVKGsex73uJ1hKIiIODg82NDdvjNEniRQQ63L8A2K613nHXXa21jcXiaLmspQzjeO78+a3NrRPHj9979r7jx47N+n6cpgfdfPOdd931+Cc96dGPeMTRcvnwhz70vrNn/+wv/+oVX+5ld7a3n3brMyRdd+01Fy5enPX9OE2ZefrUqZ3t7fV6/ZSnPe3GG264tLfX1doynV6tVzbXXXPm0t7+OI0Xd3evveYaYHtr6/FPetJLPOYxd95990Me/ODMvOPOO0+eOFEiFLG9tfX3j3v80XJ58403GFprmTlN03w2U8QwDBuLxXK1uuWmm552663jOJ48cSIz18MQEdM0bW5sXnvNmWmaJPGigAoAEbFcrZ7wxCc96pGP+PXf/p3FfL6xsVjMF/sHB0dHywsXL95+5x3Hjx07d/7CmdOnTp08+fgnPcn27/zBH0g6cfz4mdOn5/PZ0XK5Xg9PefrTtre2nvy0p54+eWpvf39jsTh3/vxjH/PoM9dce/udd951zz133n33xmJjuVo6febM6Xvuvbfr+rPnz91739muqzvb2/tPfdp6WA/D2LLdfc89BweHO9vbpZQ//rM/P37s2PXXXbux2NjZ2b7v3Nmj5fKpT3/a1ubWsZ2d+Xx+eHQo6eLF3ZZZS3nJF3+x9Xr9xCc/ZT6fPeP22/u+r7UOwzBNbWMxv+7aa3jRQQUA2/O+P33q1NHR0WMf/ajMPHXyZFfr+YsXM/OWm26SdO0115w6eWFra2tzsTh54sRytXrxxzz2cHl04vjxu+65p5a6s70NvNijH933/XK53L106Ybrrt3a3Fos5hcv7j7j1luPHzv2qEc8orV24eLFjY3FNadP931//NixvuvPX7wwTdPxY8fms1kp5ey589tbm6v1cPLE8bvuuefUyZNnz5+/9pozt9x089333nP61KmTJ070fX/65KlxGmez2akTJyIi0xd3d685c+bw8PD4sWPXXXOtIh79yEfMZrNxHC/u7gLHrr/+6OhouVrZ5kUHOty/wGWSIiIzSymttYiwHRGZKUCyHRGtNSAigIiYpsl2RACSMjMibJeIlhkRtiUtl8thGI/tbKcdEZkpCbAtMJRSMlMSkJmSSsQ4TaWUzMzMiJAkybZt25IiwrZtgQGICEltmhSRmbZLKbZDMtiOiNZaKWWaJl50oMP9C9wvM4GIyEwkbCRsJGxJtiMCsA1IAoDMlGRbEpfZ5gEiQlJrLSIyU5KkzJQkCWgtI5S2QJIkIDMBQFIpxXZm1lqnaepqHacJiIjMtI2EzQNIsi3JNgBIkpSZQETYBgBDSLwQoMP9C1xmu+97wWq9ns/nmSkpWyu1ZmaJGKeplDIMQ2bWWjMzMyVJWiwW4zCUWltrmRkRQCnFmYqwnZkSJcp6GEopkoZhXCzm0zSt12tJG4vF1FqttbVme5qmzNzc2JhaC2lqbW9/v6u17/u9/f3jx45duHjx1IkTU2tTa7O+r7UC2Ei2SynOTLuWMoxjLSUzS63r9Xqapo3FAlgPQ9d1IdmOUtbrNS8EVACwXWu99RnPAN15990721vXXXvtpb29kydO3Hf27M729sVLl2687rqW+bSn33rixPFHPfzhFy9deurTn37DddfdfuedGxsb1505c+7ChePHjm1ubi6XS+DCxYsbi8Xh0VHXdXfceddDH/Lg/f39RzzsYQeHh3/+V391w3XXSXHj9dcdLZcHh4e2tzY37zt77vixnZMnTtx+550bi8Vqvd7a2jo4OHjIgx50x513nr9wcWtrc3//4Ibrr7/z7rse8bCH3X3PPcCrveqrPu5xj++7GhHjNPV9f+HChcVisVgsLly48OAHPeiee+7d2dk+Wi4PDg66rj9x/Nj+wcEjH/awO++++2i5nM1ml/b2HvXwh/NCQAWAiDg6Wj711lu7Ws+eP2/79jvvlLRarYdx6Lv+xR/7mD/5i79orZ07f/6Wm25+6IMfLDg4OBzG8Rm3337dNdc89elPP3vu3CMe9rBXeYVX+K3f/b1S4tz5C1tbm1ubWyViatOf/cVf7h8c3HD99U940pMk/fXf/d1ytXqVV3iFkydOPP0Zzzh/4UIp5czp0/edO7tarXa2d+49e984ThuL+c033bSxsdja2lqt15l5+vSpcRxOnzx1cHDw+Cc+6WEPfcjB3t7Tbn36wx/y0Kff9rRa66W9vY3FIiIODg5PnjzxZ3/5lxd3dyVdd801z7j9jmM72xd3dzc2Nh50882//8d/HBHbW1slyoljx2684YZhGCTxvKACgO3FYn7q5Ensne2d5Wr1mEc96q677775xpuWq+Wx7Z2HPOhBR0fL06dO3nHXXSeOH7/n3ntvuP66ne3tpz7t6S/zki+5mM+vOTw6eeLEjdddt1gsbr7xhpMnT957333z2ez48ePZcv9gfxjHcRi3Njevu+baW2+/7SVf7MUvXLx4w/XXnzt3TuiG66/f2do6ffq0M+89e/b6a689eeL4weHRyePHT5w4ni2f/NSnXnvNNTtb23feffd1117zhCc9+ZVe/uVe+RVefpqm+Wx26uTJqU3XnrlmPawfdPPNEVFL+Zu//3unb7z++lLK8Z1jt9x8U9d1x3Z2lquVYNb3j37EI6dpOn36FPZ8Ps9MXhDQ4f4FLhOUUgwRkZm2JZWIqbUIDcM4m82yNaTMtA2UUoCQWmulFENrLTP7vrdt27YkQAKTdmaWUoCIaK1FxD333ruzvb29tdUyMxMopbTWSinZGpLt1lrf99M0RYQkbKTWWt91aY/jWEtJWxK2pJZZaz13/vzW1tbGfN4yBS0zIjIzIjIzM2utmSkJ25CZvCCgw/0L3M+2bS6LiFJKa43LZrPZer3uui5bU4SkaZpqreM4ZqYk20ApBchM2xEhqbWGhB0RkjKTy2xLst11XWstMwFJQES01gBJ3M8gsC0JMAhsA5JsA6UUSbYFU2u11taabS6LiMwspWC3TEk8gCReCNDh/gXuFxGllMwspezv71+4ePGaa64RtNae/oxnPORBD7rz7ruP7ewMw9Banjl96s677775xhtns5kkAPtouZTUdV2tdblcTtO0s7OTrUUpe/v7ztzZ2WmtAaUU24BtSZIA27YvXLx45tQpQ2stM2utgpYJ1FLGcVSEJC6TBGBHxIWLu+M0bmxsDMNwbGdHUkRkZkRk5jRNs77fPzy0fXxnZ5ymaZok8aIAHe5fAGx3XfcPj3/CMA7z2Wy5XG1sbNRa/ubv//6VXu7lrzlz+u8e9/hLly4dO3ZsvV5ff921d9x51zAOB4eHr/dar7Varf727//hxhuuP1oudy9dOn3q1Eu+2Iv9wR//yc721jhN+wcH11973e6l3a3NzVMnT62H9YULFxGSVqvV0dHyzOnTU5tWq1UpBdjZ3n7arc94+EMe8ow7bn+Fl33ZiPjrv/3bM6dPHzt27GD/YO9g/0E33zzr+7973ONuuvHGe+69d2tz6/yF8ydPnJD0pKc+9ZrTp+87d+4htzwI3DJDcbQ8On3q1PkLF17p5V/+rnvu+eu//dvTp04Pw/CQBz/ophtuGMdREv8iqAAgaRzH2+6445777nvwLTeXKPedO7ezvVVLmc9nwMXdizdcf/3BwcFs1p+/cGFzc0NLHR0tD4+O7rrr7tvvvHNra/Pe++7r+/74sWMXLl586q1P39rcXMzmZ06fvvvee/b39+89e/b4sWP7+/u11qc/49aLly499EEP7mf92fPnbr/jjuPHjm1vbW1vb//pX/zliePH/uYf/n61Wq3X68Ojo6c87ekXdy/t7Gz3XffEpzzlIQ960F333FtKuXhxd70e7r73qdecPn33vffa3lxs7F66dPL48fMXL6zXw9bW5sWLuzfdeMNdd99z37mzL/FiL3bnXXdtbW094/bbx3E4fepkRBjEiwB0uH+ByyQ99elPn81mIY3TtLO9c+999544fnw+n5eIxz/pSY955CPvvve+Y8d2Ll68WGs9c/r0XXff/ciHP3wcx9vuuPP6a6+55777tre2Sq07W1tPffrTTxw/XkpZzOfjNF3c3Z3PZqdOnpymCbjr3nvns9nO9rbtiDg4OGzZjh87hr1arw+Pjk6fPHn3vfc+4mEPu3Rp76577r7u2mvvO3t2a2tr1s/6vtve2nr8E590w/XXnTt/fmtra3NjA/vipUvL5eraM2eOlkelVmceHh1dc+aM7fV6uLh78eEPfejh0dGtt9128403nr9w4YbrrtvY2MhMXhSgw/0L3K/ve9uAoGXWWltrmQnM+n49DLWWbFlqyXS2VrtuvV5L6rpumqZaqzNbZmbOZrNszZCZkkqEYZomSUCt1XZm2pYkSZCZhoiQ1FqrtQ7DUEqptU7TVEtJp01mZuZsNpumqZSSmc4EopSQptZCMggU0VrDVqhEGcZRUt914zSViGma0uZFBDrcv8D9MpNnkbCRBBFhOzNLhCEzuV9EhDS1Jsk2UGuNiGEYuEwSYBuQBAC2AaQSYVuQNpcZgBLRWosI27aRQrJtWxJgEAARkZmAbUkR0VrjfpIM2ICkiMhMLpPEiw4qD9B3nQGwHRGAbUl7+/uCUydP3nf27Gw2m81mQCklM6dpOlyttjY3bUdERJy/cGG1Xl9/7bUSoGmabEdEKQXb4MwoBRvp4OBgNputh6Hruq7rJGWmM4+Wy43FAuhqzUykw8PDxWJRIpCAaZpqKeM07R8cHD92zHZErFarYRy3NzdtG9sAEWEbAI6OjhTRd51t/lVAh/sXuN+f/9VfHy2Pjh87dvzYsXvvOzufz1prXde1qd1+550v9RIv/vgnPulBN9/0Ei/2Yn/wx3+8tbmV2Vrm7Xfe+VIv9mK11nvvO3u0PAIN47C9uWXcd31EvOxLv9Q/PP7x99539sYbro+IS3t70zTZlnTX3Xe/1qu92uOe+CSJruu6rrv2zDV33nXXnffc/bZv/uZ/8/f/sHtp96YbblDEn//lX914w/V93+/uXrrh+use9YhH/NGf/uliPh+n6YbrrjtaLs9fuBCKvYP97a1tCWD/4ODEseNR4uDgYLFYTNN0/sLFRzzsoY955CMPl8uQeNFBBQBJ62FYr9cbi8XRcnnvfWfPnT934w03bCw2Zn1PLQ+65ea//Yd/2Nvbv/7aaw4ODm6/8871enjIgx50w/XX7e3t337nXev1+p6z921tbm5tbto86alPPXPq1Hwx39299OKPfcwzbr/94u7uelhL6mr3tFtvfdhDH7K5sVFK6bru9KmTT3n6008eP3HvffftXrp0cHBw6uTJYRxvu+P2+86dG8Zxmqad7e1hHGutt9522/Hjxw4PD5/+jNvms9mxnZ39gwPb6/W61jqfzZ769KcdP3Zsc3NzY7E4ODx8+jOecfLkiWEcTxw7bruUsn942NVqmxcd6HD/Apelvb+/HxHApUt7U5tOHD8+n8+fcdvtp0+dnPW94fyFC6dOntza3HzyU5966uTJg8PDruv6rluv18M4njh+fG9vf2dn2+lhHO3sum5v/+BhD3nwrc94RpSys72N2T88GMfx5IkTJWLv4GBna0vS3v7+/sHBDdddf9/Zs/PFXHDNmTO333lnLbV29fDwcGd7exiGa6+55rY77jhz6vRiMb/tjjuOjpaI7a2truumcez7PiLWw9B13cZi4UxJy9VqGMbjx48B6/X6aLk8eeLE1uZmZvKiAx3uX+B+pRQAiAhJrTVndn3fpiltSSViai0zZ33fMkMyOFMRklprEZGZgCTAdillGIa+6wyZCYSkiNaa7RLRMoGIKBHjNNVabduepqnvOoPtiMhsQlNrXa1Ta5k5n82OVqvM3NrYmFqThG2QZNuZSNiKkNRaA0JSRGstM/lXAR3uX+B+tnlOkmwDIDCXSUpbvKgk2eZ5SdiSANs8J0m2eU6SbAOSMjMiJLXWJPEvkrABSfxrQeUBJPE8JPFM4n4h8a8hiedL4jJJPA9JPA9JXBYRgO2I4EUk8W8DwVUvCgiuelFAcNWLAoKrXhQQXPWigOCqFwUEV70ooPIAmWmbq6QSwQNB5X6StnaOgbgKLw8PbPMsUAFA0noYfuO3fm4cR0n8P2a71voar/Zq89ksba6Ayv0EXdcJKYT5f0rYrqUimQcAHe5f4DJJi81NEFfB8vDANs8ClfvZPrh0yZkAEdjYAJIi+H8mInggqDxAlBLHTkDk4aXY2EAdpIeV12sk/j8DHe5f4AoJ++AXft6HB1tv83arP/+z6a47tVjMHvvi/SMe4WFA4v8tCK5oLTa3L337t67/+q/auXMXvuJLsdV1Bz/1k0e/8Wsx2yKT/8+gcoVETsPTnnriQz+iPuhB9334h2y+4Rt7HI9+6ze33uqtc31ABP+fQfAsErbHkWnyOAIXvuQLZi/xkv2DH5mrFRL/n0HlmYw0f/lX2P2Wb9RiMXvpl5nuu3f9uMdd+w3f3I4uqRT+nwMd7l/gfur61Z//aS6PNl79NfPgoF28WG+6iWlC4v850OH+BZ7Fjs1NInJ/n1JUq9drJK6CygNJeXAAEEGm12skrgIgeC4RRAC2kWxzmW3bgG0us839bAO2bQO2AcA2z8m2bcA2/4tA8ACSAEmSSim2SymSIqLruq7rIqLv+1JKRPR9b9t2RHRd11qrtXa12i6lAJJKKYAkSYCkrqt93wOz2cw2/1tA5QHGcay1ttZaZra2WCxWq1VEDOO4Xq+B+Wy2f3CwmM8Xi8XFixdvuOEG7P2Dg+VydePNt9x7952GUydP7u3vz2ezcRwzs+/7cRxLKUhubXf3YLVeX3/ddc+47babbrwh07b5nw8qANjuuu5Lv/IrP/rDP/wv/uqvfvO3fvvvH/e4L//iL/rMz/ncRz7iEZubm097+tNAN91449133/2qr/LKf/XXfzNO47u9y7s87CEP+Zwv+IJs+eqv9qp//pd/mZkv8WIv/rO/8Atv/RZvftvtt//d3//Dm73pmzzhiU98hZd7uYc99KHf94M/eHhw+Aov/3J33HnnvfedfcWXf/n3eo93Pzg4iAj+h4PKA1y6dOnYsWPOvHDx4sZi8Qd/+IellPMXLrzYYx/zmEc/yvbh4dEzbrvtwQ960K3PuG0cx63NzT/50z99zKMe/SEf8hEf/bEf8VZv8RbXXnPNZ3/e5586eeKv/uZv5/PZYrH4u7/7+4PDw3Ec5/P5XXfdvbGxuOnGm9bDME5T3/etNf5XgOB+pZRLl/Z+9ud+/qlPf/pqtXrYQx/6c7/4izfecMMwrNfr4ejo6OjoaLVa2Xn3PffM57Nz58792V/8xYMe9KAnPOmJP/AD39N13Z/9+Z//xm/91okTJx7y4Ic8/gmPv3Dh4qMe+Yi//tu/3dzceOKTnvxrv/4bJ0+eGIbx0t6lw4PD+Wz2e3/w+yHxvwLocP8CYLvrut/+3d99ylOf+tAHP2Rre2t7a+vWZzzjlptv3t/fv/baayPCtu3f/K3fftQjHzGM41133f3mb/omp0+d+rlf+MV7z973zu/wDr/0K7+a2V7pFV5h/+Dwtttu29jcuOH66x/3+Me/2GMfe+utt95x551v8kZv9Bu/9dsbG4sbb7zxr//6b17rNV7jEY94+DAMkvgfDnS4f4HLbG9ubhIzPDgzWyt938YxIqZp4n7dbItcI6G6Xh5M07S5vQ11dbQ339gEjeulpNr3ZI7j2M3m03pV+x7VYXXYzzch3SaV2TQcrddrSfzPBzrcv8D9MtO2JC6zLQmQxP1aaxEB2I4ISa01oJTSWgMiwuBMSZIyMyJs246IzAQk2Y4ISfyvADrcv8BV/yIIrnpRQHDViwIqz49tJGyekyRJmckDSOIy21wmCbDNZZJsS7ItyTYgyTYgybYkwLYkLrMtCbDNZZIA25JsSwJscz9JtgFJtiXZBiTZBiTZ5jJJgG1JtiXxQkDlASTZltR1XWstJAMgyZmllGEcp2maz+e2bUsKaZymzJTUdV1ImdkyM3M2m2Vripimqe+6cZq6rmuthYQ0TVPXdbZt11pXq1Uppe/7aZrANrXW1lraXdfZtm07M+ez2ThNEZGZrbW+62ynHRHjOHa1KjRNre+6qbVSCtBaK6UIptYk2Y6I1hrQ9904Tl2t4zTxQoAO9y9wWWY+8SlPedDNNz/5qU+1/WKPfvTB4WFESBrHcT6bHS6XW5ub//D4x586ebLv++PHju3t7a/Wq8V8MbXpYQ95yF133z1O09bmpqQ777qr1u7S3qVjO8ce8bCH3n7nnTdcd929991337lzD7r55mmaLu3tHTt2rJYy6/uLly4Bi/l8uVweP348pFLK7qVLx3Z25vP5fWfP9V2dz+fnL1zsujqM4/Fjx1ar1Ww2O7a9fc/Zs8+47bZHPvzh4zieOX363Pnz4ziePHHivrNnT508eeHiRUUc297e2z9o2U6dOHG0XHZdt1qtdra3gfvOnbv2zJmLu7tnTp/mhQAd7l8AJE3T9Cd/8Rev/Wqv9vTbbvv7xz1+Nuu7rgMODg62NjeXq/V8PtvfP5jaNOv7Usqlvb3NjY2+n+1e2j1x/PhrvMqr/Obv/q5hPptdurQnqXZ1Y7HITGB7a+vCxYvbW1tnz58/dfKk03v7e8d2jqVzHKdSYhjHvnalxNFy+fCHPvTJT33quQsXXvFlX/bEiRM//0u//NhHP+qee++76cYbLlzc3drcuHjp0qW9vYc+6EEv8djH/smf/8UwDgeHh5Le4o3f+I///M/HcRJsbm6cu3Chq1VSKWUcR0mllHPnz29vb9dS3vB1XucP/vRPz5w6defdd99x512v/9qvdeMNNwzDIInnBRUAbHe1jsP4D0984g3XXfeoRzx8tV5furQXoYc++MFd1+1eunTdNdc+9dan277huuvOX7gYUW6+8cajoyPwNWfOADffdNNiNh+nEVgsFjtbW8vV6rprr73r7rtba9ecPrMe1qdOnpzPZq3lDddfP4xjKDYW3Hn33adPndrc2Ljn3nt3trdvv/POkydOlFKOHzs26/vrrr322M5O2n3Xnzxx/MLF3VrqdWeuOX3qVNd1fd/3s35jsVFrKaVcf+21Xa333HfW5rprrjl+7BhwcXf32M5ORDk4PLB98viJnZ3t2Xy2vbm1XK1OHDs+TW1ra6u1xgsCOty/wGWSWmvDOM5nM6CUMo4jUGvNTEm2a62r1arrOtuttVIKYDsza622AUmShnHsam2tRUSt9ejoaHNj42i16ruutWaY9/1yter7/q67737G7Xe8wsu+zHw+v/UZz9je3t7a2uxqXa+HiKi1juNoe9b3LXMYhj//q7965MMffub06XEc+74fhiEiSinDOHa12gYiYrVabSwWU2uAJNtAKWWaJiAibEfE0XK5ubGxXq+7rrPNCwI63L/Ac7INGASSJNnOzIiwLck2IMm2JCAiWms2YEm2IwKwDdiOCNuSbHNZRNgGJJVSpmnKzK7rWmuA7VKK7cwEJGVmRAClFCAzM9N2RNgGJNkGgIgAWmuSbEuyHRG2I4QxzxRSy4wI27wQoMP9C9yv67oItdYyHRElYpqm5WrV9/18Pl+v1xFRIjIz7VqKobWWmeth2N7aAiRN01RKycxpmmazWWtNkmAYx1IKUEoB9vb2F4u57VprREzTVGtpLUvEMI6ShmGQ1Pd9V2vLjIhhGCKiq/VouUx7e2urTZOhRLTWDCFJaplHy+Ws72ezWWutlNJai4hxGMy/FVQAsF1rfcrTnra3v3/dNdfMZrPlanXvffe9xGMfe8ddd7XWxnF65MMfdnh0dPe99548fnw+n587f77Weuddd586dfLixYsPuvnmc+cv2L7pxhvuve++kydOXHPmzJ/8+Z9ff+21wzAM4/jQBz/4nnvv7bruvnPnaqm2n/zUp77B67z2nXffff7ChYc++MF33HXX6ZMnz54//8iHPWxrc/OJT37K9tbm9ddd92d/9VfXX3vtufPnH/nwh1/a2zt3/vzh0VHXdSXKfD7ru+7C7u41p093Xbd76VJm3nXPPTvb2yeOHz88PDq2s3PfubM33XDDvfedfcTDH9bVapt/A6gAUCKOjo5uve022/fed9+pkyef/NSnTdN0/bXXdl33p3/xFzbXnDk9jOPjnvDEhz34wfecve/aM2fuuPOukydPPP3WWw+Pji7t7c1n81LKn/7FX9x39txjH/3oxWJxcXd3/+DgtjvuOHHs+CMf9rAnPfWpu7uXjh87BuwfHNRau6677fbbW+af/9Vfnzt/7vTJU3v7+yePH9/e2hrGYWrzxz/pSX/1N3+7etSj7rjrzmvOnNnb37/3vvvuvufejY3F5uYmZpymrc3NW2+7bd7PtrY2n/zUp91w/fWHh0d33Hnntddc+7gnPvGmG254wpOefN+5s6dPnbz+uuvGcZTEvxZUAEh7Pp/fdMMNT37q0x7yoAcdHh2+yiu8/LkLF06eOLF/cPCKL/dye/v7J44fX65WD77l5p2d7d29vUc/8pHjNF17+sxwelguV6dOnSylSGpTu/fsfTfdcMNsNnvsox4doZMnTsz6vu/7hz7oQe3mbK3t7e8/7CEP2dvfG8bR0HfdLTfdtJjPb7j+uvMXLixXq0t7e9dfe+2TnvKUW26++aVe4sVvuemmKFFKOXXy5KmTJ48fPz7r++PHjmXmhYu76XzYQx58cHhou5R6+tTJcRyvu/aaS3t7r/hyL7uYz1fr9WzWd11nm38b0OH+Be7X9/3F3d2NxWI+n2drhtaapFKK7daa7cV8fu/Zs7XWne1tSdgGwDaXSZLUWrMdEUBEZOY0TV1XhWwrwjbQWtvb2zt27FitFbtlRoTtaZpKKRGRmSG1zFJKZtoGIsK2bUkRYRtbEbZDShtbEmDITEkRkZnTNEni3wB0uH+B52TbNqiUaK1FBNBaiwggM2utQGuNyyQBtnkgSWCb+0myDUgCbBtqKZKmaQKAUsrUmkCSbS6TZNt2RAARIam1FhGZabAdEpdlZiklIqZp4n6SbAOSAEkR0VrjfpJ44UCH+xe4zPZqvT6+s5P2NE2SDo+OThw/fnR01Frb3t5u09QySwQStiJs256mCai1llKmaYoIwLYk2xGBbRAAmTm2Juj7XmL30t725iaSJPDe3v7xY8fSxlaEbdvjOPZdFxHDOALDMKyHYWtzc71eLxYL213XtdZaa8Cs7w8OD4dhOH78uCTbIQ3DUGqVJMn2OI7L1erYzg42EvYwjrxwoMP9C4CkqbWnPu1pwzDO57O77rnnhuuuO3/h4o3XX3/x0u6xnZ39g4Od7e1jOzsHBwd7BwddrZk562ct28Mf+lDgGbfffu78+Ruuu+7i7qX5fGZ7GIbjx46dv3Ch73tJXNb3/YNvuaVN0z888YmllFnfL1er48eOjcO4HocScXB4uLO9XUs5XC4Xs1nLfPQjHvHkpz3taLm84847X/WVXumuu+++tLd35vTpe+69d5ra6VMn+74/f+FihF75FV7hL//mb+6+596bb7qx77pxnEop0zSeO39hZ2d7a3NzHMfW2l333Puwhzx4miZJ0zQhPeaRj8xMXgio3E9w6223bSwW2lOm//YfHjfr+739/Yc++EF//ld/3Vo7fmzn9KnTd9x15/XXXnvHnXf1fbe1tXW0XD7kQQ/KzNvvuGNq7e8e9/gLFy/M5/MXf8xjnvDkJx8dLR/58Ic/4/Y7zl04f/2110qS4sG33DKM4z333tt3/dFyOZv1T3/GMzY3Nh71iEf83T88bjbrDw4On3rr0685fXqxWBwdLR/2kIf82V/85Ww2q7XOZ7ODw8NHP+KRf/qXf7l7affYzrHlavX3j3s84mVe8qXuO3v23vvOlhIPf8hDfuJnf3ZjsbG5ubGxsXG0XCLW6+HJT33qmdOn5vP5bXfcccedd+1sb+9sb5dSDm483NrczExeENDh/gUus/2M22/f2twE9g8OhnEETp44Mev7vb39i5d2b7zhhttvv6PruwfddNPZ8+enqW1ubtx339la60u++Iv97T/8w+Of+MRHPfwRLdupkyeP7xx74lOefOrkyaff+ox0PuRBD6q1RsT5CxcWi8WjH/GIX/q1X3vQzbecPHH84PBwGMe+6zI9n89ms1kp5dy5811XF/PFvWfve/mXeZknP/Wpmdn3/Ynjx1er1bGdnd1Ll+49e/a6a649e+7ccrU8eeJELeXmm27627//h4h46Zd48cc/+cnOPHHiREh7+/vTNN18441PfupTz5w+fXB4OJvNjo6WpcSJ48enaTp+/Pis723zgoAO9y9wv67WtIGQkGzbtl1KYNJZSgWmaYoI20CJuLS/v7W5eeHixYPDwwffcoukzMzMrtbMvPW227a3tq85c3qcJknAweHhrO+PlssTx49nJnaUYts2YBuICGcaSinDMHS12kZqrUVEZkaEJNslAsl2ZrbW+q4DhnHsus62bSAkQ2aWUjIzJIMk27aBzLTNCwE63L/A/TITqLW21tIWl0m2xTMZQrJdSmmtAaWUzCylRMQwDIaQJLVMwazvW+Y4TQJJtkspXNZa4wEiAmiZAkNIgO1a6zhNAkCSbSRBRLTWAMAQEpCZkiIiM3lOEZGZ3E+SbUmSbEvihQAd7l/gfn3fCZ2/eHF7a6vrOtuSnBkRU2shIQHOjIjdS5eOHzvWMktEy4wI2xFhexxHoKtVEeM41lKQBMM41lpba+v1emtrKzNLRMuMiNam1WoNbG9vt9YkDcMQERFxeHi4s73dMiPCtgCpTdP+4eGxnR1JtoFxHEsppZTMzMxSSmZGhCTbgvUwdF0XEbaBYRj6vh+GITNns1lmZiYvCOhw/wKXSfrbf/iH+WxWSqm1Hi2Xs77f3z84efLE3ffc+8iHP+zue+5ZLBar1Xo269frYTbrDw4PT588dXH34pnTp+87e26xmB8eHdVab7/jztd/7de69bbbdy9deuiDH3T7HXeeOnXy3LnzL/niL7Z/cPCnf/GXZ06dms9ni/ni3rP33XTDDfedO/fwhz704PDwrrvvqbUc2965sHvxUY94RET8+V/+laRTJ0/0fX9wcDCbzVprNjs720992tMf+YiH333PvdecPnVhd/elXvzFz547d/udd15z+vTm5ubZc+dOnji5f7B/cXf3+LFjB4eHd9199yMe9rD9g4MTx49f2tt7qRd7sXvPnv2rv/3bM6dOP/QhDx7H8czp09M0SeJ5QQUASeth2L10SdIrvdzL/f3jH/8Pj3/CqVMnT5869ad/8Rc3Xn/DX//t3+0fHuzt77/ki73YhYsXnvL0Wx/+kIfsH+xf3N0dhvG2O+64uHvp+LGdne0dO4Gu6+68+y7gL//mb86eO3/tmTMXdi8+7KEPefqtzyil3Hfu3OHR4TAMD77lQU+/7bb77js7n82uv+66Jz/1qa1Nt9x889333HPtmWuOlstpmi7sXoyIS3t7fd+VUlar1fFjx/7qb//2+LFjv/9HfxSKYVjffuddj3zYw2697bZxHP/8r//6+muvXa+HpzztaUi7u5d2trduvOGG06dO/fXf/Z3TN1x//V333P3Ihz3sqU9/+nw2v/Puu5fr1dbm5g3XXz+OoySeF1TuVyIe88hH2VlKObaz87Iv9ZL3nj07n80e8qAH7R8cPPbRj7rr7ns2NhbXX3fdXXffs729fc3pM3v7e5Jsl1KmaZrP5ltbm7bPX7g4jqPQYjG/7sEPPrazc8N1191z39kS8eAH3TKMw4njx/cPDra3tk6dPDmM4/bW1s72dt/3r/KKr3Dp0qXrr7tuc2Oj77tTJ09cuHjhQbfcvFwuT586efLEifUwOHM+n58+dWoYxhPHj509f/6G666rtYuIhz74wbfedturv/IrP/XpT3/sox+1e2nvzOlTz7j99hPHjx/b2dnf39/Z3m4tT5861fddKeWhD37wM26//eEPe+idd9193bXXTuMoiecLdLh/gfuVUoDWWq21lHJxd/f4zs7+4WHfdV3XSRJMrZVSJGUmEFJmRoTBThsgIqZpOjw83NnZkSQpW4tSxnGU1HU10wJDa01SRNhurdVSkFprtdbWWmb2XZc2l2UmV9hRim2wFK21rtZhHCOilNJaq7VO0xQR2ZoibNsOSRHYLbOrdRjHiKiltMwSMbU2TZMkni/Q4f4F7mdbUi2lZWZmiZhaK6VI6mqdWhvHURKX2ZYElFJaa7aBiLANSIqI1hpgWxJQSpEYhrHWmpm2I8I2z0lSZkqSlJmSuEySbUlAZkoCbEuyHRG2gVrrNE3cr5aSdmZyP9tIAkmZGRG2JdmWxPMFwQOUUlar1ROf+tRLl/aGYVBEKUXShYsXf+cP/uDue+7pao2IUgrQd53tiLjnvvsioqu167rMjIiIsJ2ZkiKi1ipJ0u6lS2fPnd/e3r64u7ter/u+z8yIkCQpIkoptm33XRcRQN/3kiJCEpD27qVLkmqtkmx3XVdK6boubUnA3ffcA5RSIqLWete9995739mIkCRJ0mzWl4haq+2u6/b394dxtN11XdoRwfMCHe5f4DLbf/znfz7r+qPVspYiaffS3iu//Mtff+ONf/EXf15rd3h0GBEHBwdd12V6PpuN0/gqr/iKf/Anf7JerWutfd/VWl/hZV7m9/7ojw8OD7e3Nk+dPHnXPfdsbW6O07SYzRG3PuO2Rz3iEU9/xjOuOXP68PDoEQ976LFjx/7oT//s5htv2NzcfPJTnnrjDdffd/Zc33c3XH/90dHRfWfPPfiWW06cOP4Hf/wnpcSxnR1Ju7uXTp06OU3TsZ2de+67T1JE7Gxvv8xLvuTBwcFf/e3fllIy/Uov/3J/9pd/ddfdd994/fWrYX1sZ2dvb282m03TdLRcbWwsulqPlstrTp/e29+3XUs9e/78Yx75yAc/6JZhGCTxLBAAIGkYx1nf167WWo+Wy3PnL6zWqwu7F9fLo9p1F3cv2j577vwzbr89M7e3NvcO9u+5975hGEK6+957h3FoLe+8++7Veh2hUydPRsRTnva0u++59/DoaDGf2661PuLhD7v9zjv39vcxR8vl3ffeOwzDyRPHDw+P/u5xj0vnrJ/dcded9549++SnPvXc+fP33HvvOI3DMCzm81MnT67X63vvu+/MmdN7+/uX9va6rrvzrruncZqm6Y4777xw8WJEjNN019333HPfvev1+uDgYHNzY//wIDOffuszjo6Wy9Xq6c94xjgO69X6xuuvP3/hwj333nv+wgVJd91zzw3XXbd76ZIk2zwQ6HD/ApfZXq/Xku49e/baa65pUzs4PNjY2Oi7DvSM22+7+aablsvlMAw7OzshLVer9Xp97TXXrFbr9bBurXW1Llera6+55vDoSCDp4PCwtba9tTWfz++4665jOzuzvo+I3b29zY2Nw6OjxXy+ubExTtMwDHv7+ydPnAjp7Pnzp06c2N3b62rd3NgwzPrZar2KiMzMzFprKWX30iWh+Xw2TVNELJfLvf2DRz3i4QcHh/sH+33fX3vmzN333rter0+dPHW0PBrG8WlPv/Uxj3rkYj6/tL9/fGdH0vkLF7a3tkst586dP3PmtG1Ji/ncNg8EOty/wP0iwnbXdeM4SioRaWcmMOv7YRwlRURrDZAkaZqmiJAkyXZI4zRJkmS7lCKptZaZfd+3aUrbdq01M0NKu7UWERFRSpmmCbvU2qap1pp2ZgLOVASXSbJtu5YCpC3JNpCZtiOilOLMYRz7vg9pai0ibNsuEVNrtZSWabvWmpm2a63TNHFZZvJcQIf7F7if7a7WqTVJmSnJdkRkJgBIysyIsF1KyUzAtiTbgCRJpZTWGpdlJhARrbWu1rS7WtfDUEqJiDZN/WzWWhvHkftFRESM4xgRgCTbtrmfJNu2uV8ppZRiu7UGZGYppZQyjqMk29xPUillmiYQGACQsCXxgkBwP0m11tvvumsYhnvPnu26bhzHWsrUWtd1tiMiM7uusz2bzc6dP3+0XJaIrusyEyilTNN0cHDw1Kc/fb1e7x8cHBwc1Fq7rpumqeu6e8+ePTo6evyTngTs7u4+/RnPmFr7rd/7vdvuuKPrOkmSulov7u7ec++9s9ks7cy8cPGi7VJKKaWUUkrJzIiYz+fz+Xw+n89ns739/ac9/dbb7rhjGMfMnM9mh0dHT33601frdWstpIgopZRSMvOOO+8sERGKCEmSBJJ4IaByv8z8q7/527vvu3drc3O1Wt1+xx1Hy+XNN9542x13HD92bP/g4NozZ+697+yZM6cf/8Qnvs5rvMbh0dHf/sM/tJanT53c3b30Wq/+ak9/xjPOX7hw/NixJzzpybffeWdXu5bt6OjozOnTFy5efN3XfM1z589f3L30x3/+5zvb23fefc+ttz3j7E03PerhD3/K05524tixu+65Z9bPnnH7bbV2Fy5eePje3v7+/nK12tzY+Ou//btTp05e3N1dzOdTa6dPnXrUwx/+tFtvlTRN03XXXHP+woXdS5e2Njf/4q//ehzG06dOnbtwfrlc7V661Fo7cfzE45/4hEc+/OEPvuWWP/nzPz84PHrq029t2V7r1V6NFxEEAEgap+ng8HBrY/PsuXOllIu7lyLi1ttuO3vu3KW9vYODg4u7lw4OD5769KdP09Ra67vu4u7ucrWMiPMXL+wfHOwfHPR9v16vEbXWo+XR/v7+4dFRRFzcvXTh4sXNzc2nP+PWW2668fFPfNKlvb1jOzvnL1w8d/480nw+v+/cucc/6UnAdddeM58v7r3vvnvuve++s2cvXLh47bXXHB4d3XPvfTaZeedddwPTOI3jOI5TZmbmDdddt7W5ub9/cNONNzzj9ttms1kpcd/Zs13XHR0dXtrbQzpaLsdp6rvuvnNnMzMzJfGiAB3uXwBs11rPnT+/Xq+PHzu2Wq/vuvueWstDH/zgs+fOH9vZPjg83NzcPDg8PHH8+MWLu9dec2Ycx5a5v7+/vb29u7t7zZkzhjvvuuvMqVPjNO3t7585dQppb29vZ3v74u7uNWfOTK0dHR1de+bM2fPnZ32/sVgcHB7ed+7c6VOnjh87dv7ChaPl8vixY7WUu++999TJk0dHR7XWvu9DKqUcHh2VUlprtk+fOlVKESCy5cHRUUjAMI61VuDsuXPbW1ubGxv33HffqZMnDw8PtzY3t7a2br/zzvls1nXdOI6nTp7MTF4UoMP9C1xmu9Ya0tRaKWWapq7WqbWu61prkjIzIlprpZRpmoCQSiktW4kyTpOkrtapNaCWMrVmu9YyTa2UMk2TpBIxjGPXdbZba6WUWus0Ta21WmtETNNke9b3wziWEqDMtA1EhG1JwDRNBmwkTCkB2I4I25Jqra211lrXda01SbanaZr1fdq2QxqnCZDEvwh0uH+By2yXUiTZFhgkAcMwRESttbVWa52mqZRiW5B2ZkaEJKC1Vmu1LTBkJmC76zrb2GlnpqSIaK2VUgDbkjJTku1SiqT1er1YLMZxzExJtZRxmiR1XdemyQBIKqVM0xQRtltrXa1Itqdpsl1rjQjbrbVSyjRNfd9nJpCZtiWVUrK1lhkRtnlBQIf7FwDbtdZLl/bGaZzP5+v1ej6bjeN417333nPvvS/zki9pe3Nj48LFi2dOn75w8eLGYtEy+64D7rjrruuuvVbS5sbGhYsXu9qVEk+79Rl333vvS734i+0fHC7ms2Ecz5w6JWlzc3O5XD7t1ltf4sVebPfSJUlAZm5vba3W64g4PDyMiOVyee/Zsw97yEPuvOuuhz74wfsHBydPnMjMJz/1qcvV6rprrj1z+tQ4jpf290+dOLFaraKUrc3N8xcujOO4s729e+nSfefOPfoRj9i9dKnruuPHjl24ePG6a655ytOePpv1s9lsMZ9HhOHg4OD4sWOX9vYvXLz46Ec+YhgGSTwvqAAQEeth+Ku//dubbrzh7ic+qZS4tLe3ubF5eHR4bGfn6c94xl1339N1XdfVxz3xiVubWyeOH/uzv/yrB91y8yu+3Ms99elP/8u/+dsbrrvu5V/mpf/yb/42sx0dLefz2fFjx/7yb/5mtV73XbdYLP7sL//q+muvfb3Xfq1Le3t7+weCX/q1Xzt54gRwbGfnpV/iJZ7wxCdFidvvvPPY9jbo0v7eufPnDw4Oz54/f3h4+Mav93p/97jH3Xn33Q978IOPlkdPftqlu++5p7VczGd333vfmdOnXu2VXulP/+IvQBuLxd7+vvHZc+emqc1mfWvt3vvOvvHrv97h0eETnvLk0ydPXtzdvemGG3f3Ll28ePFN3uAN9g/2/+wv/+L0qZOnTp4cx1ESzwUqANguEX3fT63N57NxHK+/9roTx4+dv3jxxPHjd959t6RZ3z/iYQ+98+67M1PSiePHTp04IThx/Dhw+tTJtB98y837BweX9vZuuuEGSZlZa735xhv3Dw6GYTy2s33nXXcdP3bs0v7eE5785BPHT5w6eVLo4u7ubNav1qu9g4OH3HLLfL6479zZm2+8cW9vrx6v111z7ROf/OT1MCzm81LKyRMnFvP5H/7pn836/hGPfNj5Cxe2Dw/PnDpt+8YbbljMF+M0DuMwn81PHD8+m/W277nvvjOnT81n8zOnT1/a25+mdvrkqfMXLyyXy4c95CGLxWL30qW+723zgoAO9y9wWUSM4zhNU9/34zgu5vOpNUm2JQ3j2HddZnZdd3h42PW9wHYpJSLGcQRqrbYlrdfrWd+nXWtdLpdd19m2bQC6WlerlWHW9601QBFdreM42q612o6I1pqkaZpKKa212WyWmcvVajGfS1qv113XAaWUcRwNXa2ZCUQEsF4Ps1mfmUCtdblczmazzLS9HobNjY1hGKQoJQDbU2t919nm+QId7l/gASTZlpSZgCTbkiTZtg2UUlprIRlsA5IA25JsR0RmSrIdEZkpSRJg23YpBWitRYRtHsC2JNuSgIjITMA2EBGZCUSEbduAJEm2bUviMklpi2eSZNu2JEmZKYkHkGSbFwSC+9kupZRSIqKUUkrp+17SbDaTVGuV1HVdRGTmrO+RSimllFrrrO9rKV3XAbO+l1RrjYiu6yJiNptJ4rJSSt/3mWl7NpvZ7rpOUmZ2XVdKmc1mtmutXddJaq1J6rpO0qzvQ+q6rqtVUiml77pSSt91rTVgNptFhCRJJSIkICKAEhERXddJqqWUUkopEcH9bPNCgA73LwC2a60Xd3fHcVrMZ6v1erFY7O8fXHvNmb9//OOP7ews5vOd7e39g4Ptra1a61333HPm1KnlatV1Xbb29Ntuu+6aa7quO7azc/e99548cWK9Xs/6/vDoqNZ6+513PvqRj8zWgGEYD48Or7v22vUw3Hf27I3XX3/+woVa62q17vvO9j333vfSL/HiF3Z3l8vl8WPHnvL0pz/6EY+4976zN1x/3V133729vT2Oo6Raa2stM8+dPz+fzzc3NiQNw7C9vV1KqaXs7e9vbmx0Xbdarzc3Ns6dP7+5sXG0XG5ubOxe2tve3hqGoe+6zc3NzORfBBUAImK9Xv/13/3dLTfe9IQnP6mUcunSpY3FxuOe+IRa69NvfcZ11147TePZc+df+RVeHviHJzzh5PHjR8vlhYsXr73mmmEYbN9+x5193+1s7/zd4x53eHi4vbVVSqm1HhwcvtijH/0Pj3/CrO+ecfvtEdH3/YWLF++4864nPOlJx3Z2jo6WBvDUWolomX/793/fMncvXRK69777tre2//7xj9/Z2T537vw1Z053XffUp9966uSJ+Wx+7sL57a2tWuo4jbPZ7NKlS496xCOe/oxn3Hf23CMf/rCXe+mXPjo6ms9mf/Anf/Kwhzzk7nvuWa7WmxsbGxuLCxcuPORBD3rJF3uxdWuSeOGgAoDtUsp8Ph+naWOxGIbxphtuPH5s5/a77nLmmdOnM9vx48dX6/Xh0dHmxsZ6te67fv/gYDFf3HzDDbXrnn7rM2ot29vbq9VK6PSpU9tbWyeOH2+tXbh40fas7+64667rrr322M4O0FpbrdfXXXvNMIybm5u2r7/22v2Dg/Wwzsz5fH7Pffcd29npum5ne/vw6OjM6VO7u5eMH/KgBz3t1mdsbW4sV6v5bHbzjTeeOX36jjvv2tzcuHDh4ubm5p13372YL86cPnXq5MnMzHQp5dTJk+cvXJC0mM8e8bCHrlaraZqOlkskXhSgw/0LXBYR0zRN09T3/TiO8/l8mqZSytFyubmxcXR0tJjP18OwsVicu3Bhb3//oQ9+8Gq1ioiIyMzMlJT2n/75nz/8oQ+97tprx3EspUhqrQGllHEcu67LzL7v7rjrbsEtN990aW9/1veSMjMixmma9f3Tbr313vvOvvIrvPwwDH3fr1brUssf/9mfPfwhD73pxutXq3VE3Hrb7Tdcf93GYjFNU0TUWu+4865Sy6kTJ0op4zhGBNBa67puGIbZbDaOYykFkDSMY1crLyLQ4f4F7mdbku2QWiYSdimFy1pmSJlZa5U0TVOttbWWmZIASba7rmZma8lzsh0RtrksIiRN01RKsS0pM4GIyMyIKCWmqdmWJCkza622p2mShNR33TiOtgFJmVlrtZ2ZgCQuk9QyQ8rMiLBtEEREZvL8SOK5gA73L3C/vu+xW6btWooibGfm0dHRYj4vtWIbhmHo+34cx6PlcnNjo+s6Z0aJ1rKUMo5jRAAR0VoDSinOjFKwp9ZKKc5URGZmZmYCwzBsbmwAwzjOZrPMlJSZXa2HR0d93wsUYTskA7BcLjcWi5ZZa12v17XWEjFOU63VmS0zIjIzM/u+d2ZETNOEVEtpmZkZERGBjdRaq6WkDQzjKJ4TVO4n6e8f97hS6qmTJyLi/IULR0fLWsv11133949//C033TSN09Sm+Xz+kAc96OnPeMaTnvKU06dOXXvNNYeHh4v5/PzFi9ddc80dd9390Ac/6Nz5CxuLxdFyeettz3jEwx62XC53trfPX7iAdNMNN9xz773Hjh3b3d0ttd57732v9WqvOk7T45/0pBPHjkeJB99yyz88/gmL+fzw6OjM6VMXLl5crlaXLu297Eu95G133Hns2M7R0bKUwNx6+2233HTTiePH77r7npd4scfeeddd9549+5AHPejOu+46trNz/Pjx226//cLFi6/5aq/2949//KzvM/Oe++675vTpzNzZ2dlYLJar1d7enqTW2rXXXHP3Pffs7Oys1+uHP/ShU2viAaACgKRhGO66555a6x133bmx2Lj37H3HdnZC8bgnPjEUl/b2Tp04kZmt5fFjx57+jGdMU3vYQx5y+513/vlf/dXJEyeuOX3m9/7oj66/7rq/+tu/PTw82j84eMTDHnr82LG//ru/W6/Xx3Z2+r4vpTzjttsPDg92tneO7ewcLY/ms3mUwjQdHh7de999h4dHN1x33T333btery/uXprPZy/52BfbGw+6rv76b//Oelhvb20fP35sGqcH33JLKO47e+7P/+qvbB72kAffftdd4zD88q//hqStzc3rr7v2rrvvufaaa1ar1T333Hu0PDo8Ojp14uTtd9y5s7P9+Cc96cE333LHXXedOX06nZn5N3//D33X1Vpe4sVerERM04TEs4AO9y8AksZpOnfuXK31wu7u7u7udddeu5jPM3O5Wl3a2zt5/MSJE8dvfcZts9nsMY965D88/vG7e3uv9HIv97Rbb724u7u3v7+1tVVLuXDx4iMf/vB77r1vPp896Oabj5bLixd3pzadOnmyRADjOJ2/eOHEseObmxvrYdjb25/a9BKPfeytt9129tz5+Xz22Ec96uz588Dd99xz7TXX3Hf27OmTJxeLxf7Bwe6lS8ePHTtx/Ph9Z88O43jq5MkScf7ixdVy9Qov97K/94d/NE7jwx/ykLvvvfemG2649bbbjh87Vmt30w3XX7x0aRrH8xcvnjl1eu9g//Dw6Lprztx977191914w42tTcDupUvL1erE8eOnT57c2NjITB4IdLh/gfuVUoCQJKVtG4gIZxpsRwT21FqtVdI4jrWUWuvZ8+eP7ewcLZcRsb21la1JmlqTFBHONM8UksE2tiJs7+3vb21ullIkAeM4llIAARI2kHYpxbZt2xGBbdtQSslM27uXLu1sb/d9n62lXUrBTru1VkoBBAZJXCZJMLUmAKKUzBS0TNs8F9Dh/gXul7bAtkEASLKNhA1IkmRbkm0uS7uWkpm11mmaAEmttYiwDUhCCikzbXOFJDDUUqbWsEvE1FpEAAZsLpMEpC0ASQCZ2XWdbduZKanWOk2TbaQSAQCtNUmSgJYpnkkSL4AknhdUHqCrFSilANlaqXUYhpCAiCi1Hh0djeO4tbl5uFyG1Pc9ICkipmk6PDw8cfz4weGh7e2trWEcSymZOU2T7dV6mM9nXa0GSa21zCwRhnnft8yjo6Od7W3bLRMopdgWDOMYEbNaW2uAM5EWi8W58+e7WiNia3Mz7XEca60AcHR01DJDOraz0zLX67Xtzc3NzBS0zNYa/yqgw/0LgKRpmi7uXuq6es9992HOnD51+513vsRjH7u3vy9pf//gwu7Fa8+cedwTn3jdNdccHB7deMP1p06ePDg4yMxzFy4s5vNMtzbN5/P1ejhaHt18441333vvqRMnHnTzzefOn3/y0572qq/4in/9d3+3WCzGcdzZ3j5+7Njupb1S4uLuLrBcrRbzOXDq5MlMnz1/ru+6cRwf/chHXtzdveuee649cwZYzBfrYX3+woV7z55dzOezftb13azvb77xxvMXL2L++u/+7qYbbjh/8cI1p8+0bDdcd91Tn/707a2tWquk1trGxsaN118/TZMkXkRQuV9mPvmpT23ZDg+PTp088dd/97c2D33Qg+6+9979/YP7zp297ppr/+EJTwTfdc+99953X1frjddf/+u/9du11pMnjt9+553z2ezo6GhjY2O1Wp08cfKP/vTPLly88IiHPezGG65Pe7Ven7tw4Y/+7M8efMuDhmHY2tx87dd49d/4nd/Z2tparVYXdy+dPnXy7nvuPXZs5/TJU8vVKlt70C03//Xf/d2DH/Sge+6998//6q9uuuGGWT+75aabxmm88+67t7e29g8O7j649+Lu7s033XjtmWue+OQnOx2h3UuXDg8P7zOHR4d33nXX+QsXj+1snz1//sbrr5+maWOxuPnGG/lXgQoAmTmfz0+dOrm/f/CIhz606/sTx48fHh1tb29f19re3v6LPfrRJ0+c2L10KRTDNJ4+efKG669bzOePeNjDrjlz+s677z5x/PjW1tb58+drrYv5Ynt764brrjt34fypkyfvO3vu5IkTku47e/YVX+7ldra31+thvV7VWh/9yEfO5/Oz585dd821p06dPH3q1KkTJ/YPDvu+u+mGGxbz+S033xzSYrF49CMeeeP11z3jjjuOHdvJzNOnTt12+x3XXXPtzsO2zp4/f+LYse2tzePHjjm9vb01juO115zp+/7S3t6s76+79trjx47t7e9vbW6O47her23zrwI63L/A/bquk5St2Y5SbE/TVCJqrWm31iICECC11lprs75vmZIkORMpIjIzMyNCUmbazsy+71trEZGZgohYD0Pf985UBGBbUmutlCJomZnZdd04jqWUiMjWopRxHCUBESFhA2RmZnZdlZRpQGAAJGGnHRGZCZSIYRz5VwEd7l/gfplpEM9kOyJs20YKKe2QANuSANtAKaW1BkREa63Wmpm2uSwibNvmASRJysyIsG3AliSpZdZSgNYagAQIaq2ttVrrNE0AkJkR0dU6TpMkiWlqgEEA2C6l2LYtyTYASOJ+hpB44UCH+xe4X9d12IAkQ0TYdmZEGFprtdZpmmxLEigCEOzu7e1sbwNHR0fb29uXLl3a2tqKCNu2x3Gc9X1mKgIAQhrG0XYp5ejoaDabSeq6bhzHcRw3NzYu7O6WUo7t7GSmpDZNU2u7ly4tFovDw8NTJ0+21sZx3NraWq/X9549e90119g+Wi6P7eyUUiIiM23XUnYv7W1sLGop62GotZZSMtO2JElASMM4ArZ5QaACgO1a6xOf/GRJtdblcrWYz86eP7+Yz7e2ts6dv1BK3HTDDc+4/Y6HPeTBktbrdWvt4u6lrc3Nvf39ftbfe999mXnrbbffctNNR8ujjcXCZjbrW2uPedSj/uHxj18sFtM0jeMoqbV29733PvoRjzh16tSf/9Vfl1I2NhbHjx1brVa33XHHIx72sLvuuefaM9c8/dZnbG1tHh4eXnPmzInjx//8r/76+LGd2+648/Vf+7U2Fos//vM/f7VXeqWWeettt61Wq8PDo0t7l97w9V7vL/7qr5ar1c7OztbGxoXd3a3NzaPlsu+6Rz/ykbffccfZc+evueZMLWX30iXbksZxvOfe+x71yEfcfOONwzBI4nlBBYASsVwub73t9kc87KFPffrTZ31/cffSsZ2do+XyGbffvr21HRF/8Cd/cunS3sZi/tAHP/hXfuM3H/aQB99+551HR8sXf+xjLl7cPX/hwsXdi9dde+099917eHi4e2nv+LGdzY3Ng8ODRz/iEfeePXvh4sWTJ05k5v7+wXXXXntpb+/4sWNPeNKTbrvjjjOnT8/ns8c94QkXdy/dcvNNT7v11nGa9vb2zp0//6Cbb9k/2D84PHzN13iNG6677u577y0lVqvVOE633nbb9dde+5Iv/mKhkOIJT37yiePHV6vV3ffe13fd/sHBej2cOH7stjvu2NzY2Nvbf/hDH3rr7bc/9elPv/78tZm5ubn55Kc+9cbrb9jZ3t472F/M57Z5QaACQNqLxeLmm24cx/EhD3rQ4eHhwx/6MAnby9Vqa3OzZT7kQbfcd+7c9dddt7m5+VIv/mKnT52yvbW1dcO11x4cHfVd9+AH3dKmFqFHPfzhe/v7EbGxWNx739m0b77hhpPHT8xm/Xq9fswjH1lrPbazs1ytHv7Qh07TdNMNN+xeunTdtdc+7CEPWS5Xm9dszPpZKXFhd/fMqVO7ly7VWtswnDl9amtzc3fv0vFjx46Wy0c9/OE3Xn/9ufMXjpZHx3Z2Xu+1XvPS3p7txz7qUbUWm8PDw4Ojw5e9+ebVen1xdxf7xLHjL/liL3bN6dPjNI3DOOv7G667bj6fnzh+rGVi84KADvcvcL9aKyBAcqYBCCltQJKkaZoyczabtWkqtWJPrUVERGAj2bYtKTNt11qHYSillFJsA85Mu5QyTZOkiGit1Vol2QbbXCEps0khaRiGWmtEAK01SbXWcRyBvuvWw1BKCWkYx1qKAZAkybbtUsowDF3XCdIWGCIiMzOzlNJay0xeENDh/gXuFxHTNIHAkgBJmSnJtiSkEtEysSNiai0kLjNgS7ItyXZEALYl2baNhC0JsImQ7VJKKWUcx8yMiK7WcZpscz+DQJJt24AkwLYkICIkZaZtSbYBSRGRmbYNAkm2eQEk8UJAAIAgM+87e67v+66rtdaIKKVkZtd1pZS+7yOitXZpb68rxfbZc+c35vNSSiml1lpL6fseqdYqaT6brdbro6OjiIiIiOi6rqu167pSSkTUWlprXdfdc++9f/HXf71eD13XjdP0F3/zN7uXLpVSIkKSpFoiIiJC0mzW11pLKbXWWmvfdSXi8Ojo7Pnzq/W6lAJERES01s6dP394dBQRtZSIkBSSJEmSJEmSJEkSLxxUrpAy88lPfcoTn/xkxM033hjSk5761Jd76Zeepvbnf/VX115z5uDwsEQ5Wh4dP3Z8HIeDw8P7zp697Y7bX/vVX/3i7u7fPe5x11933X1nz77Ui794KeXchQsHBwehWK5Wxg+++ZblanXHXXeWiJtuvLHW+sQnP+UlX+yxtzzowU+79Vabe++77+m3PWPWz85dOF+i/PXf/d2pkydf/mVe5uDg4PY775r13dNufcZsPtve2rr1ttte59Vf/cLu7t/9w+NuvvGGo+XyaLkspWwsFvsHB5n50Ac9+N6zZw8PD9N53bXXHh0dzWazi7u7x48de5mXfMlpmiTxrwXB/SJiGMc777l7mqbb77zzcU96ku3rr7327nvu2T/Y37106dSJk3Yu5otZ3x0eHbXWnnHH7QeHR2nfc9/Zg4PDS5f2rjl9+uy5c6dPnfqbv/u7Usp9586WWnYvXbr1ttue9NSn3HPvfeM03XHXXY97whMluq4bVstaK3BwdHjqxMmW7ZEPe9h9584e29kZhvG+s2drrXffe88/POGJxjtb249/4hOXy1Xa99539tLe3tTavWfP1lq7rrtwcXdne/vYzrFn3H77HXfdebRanjh+4o4777J91933bG1ujuO0HoaQ+DcAHe5f4LK01+v14eFh3/ettaPl8sSxYxsbG5l5z333HdvZiQjbBwcH29vbtvf290+dOHHfuXM33XDDOI73nT134vgxAGl7c/PchQubGxtHy+Xv/sEfPuwhD77mmmsEkkoptg8OD0+dPDkMw9bm1nK1PHf+/MkTJ2Z9P4xjKaW11tU6jOOdd931ki/+4vfed9/RcnnyxImQWualvb0br79+HMf7zp49eeLE+YsXd7a3V6vVYrGICME0TZf29o4dO7ZcLnd2ds6dP7+1ubmYz6fWNhYLSfwbgA73L3C/iIiIzAwpIqbWWmuSuq5rrdmWVCJaJlBKTFPrah3GUVKttbXGZa21WqvtzDw6Wm5sLPqua5kSNkApZZomSa21ElFrnVqzLcm2JNtclpm11oiYpsm2pFLKOI6Saq3TNNVaM1OSbduApBLRMkNqmbWUzEwbyEwAsC2JFx3ocP8C97MtqZTSWrNda7WdmbZrrbZbJgYM2I6IzIwIwDb3k2QbiIhSyjiOkgDbPCdJgG0ACVuSba6QBLa5rJQiGKdJEiCp67pxHG0DkmxLss39JNnmMkncLyKAzLQdEZkpybYkni8IHqCUMk3TufPnbZdSLl68eN/Zs5kJnL9w4ey5c860s9Yqqe97SV2ttrmsq1VSKQWQVEs5ODi4uLvb9/16vb60tycpIiRJqrVKkgRERNd1glIKEBGllFJKSEBEcNk99957cffSfD7vuq7WOgzDk57ylGEca62lFNulRGZ2XRcRtZSIACKilFJKyUwgIoBLe3u7ly5FRN/3wzDUWiXVWnlBQIf7F7islPIHf/wnXdftXtp90M0333HX3av16vprr12uVrO+v+/suWvOnLY5Ojrc2tq64brr7r733rvuueelXuzFHvaQh+xeuvTHf/7n21tb11933f7+wd333nPLTTfddfc9x48fu/aaa9ar9TPuuH1rY3O5WqVzMZ+P43T82M7W5tZTb336Yj7fvXTp2M7ODddff3h4dPe999x0ww1PefrTb7z++hd/zGN+83d/90E333z+wsX5fHb+wsXWpld6uZc7f+HiE5/y5BPHj+/t7e/sbJ+/cOHlX+Zlbrnllic9+cmPf+ITH3TzLbfe9owHP+hBt9x005//5V/VWoZh3Nzc2L10aWNjo++6cZqc3t7euri7e+L48dbasZ2df3j8E17yxV7soQ958DAMknguUHmAaZr29vdOnzp9591333v2vofccst6vW6t3XvffadPnT46Wq6HoZQ4e+78weHh7u6lcRz3Dg5W6/Wlvb2777l3dXx1tFw6PQzjPffeu1qvbr/j4JrTp9fD+toz19x2x+1bW1tn7zt3fOdYlLjjrrtt11Jms9nF3Utbm5tPespTaq2Z+cSnPOXg4PC6M9dIGsfxiU9+yunTp86dvxChkydODON47sL5vf39ne2d+Xx29tz59TBc2tsf1uv1en3D9dfffucdu5f2nLlarXZ2tu+9777WcjbrT588hXjG7bdfc/rM4dHRNE33nr3v4sXdF3vMo89fuLh3sD+1Jl4A0OH+BS6LiPvOni2lRMRytepq7bouM4XGaey7Lu35bPbXf/f3D77lFuMTx48fHh0dHR7NZv01Z87cfuedZ06dunjp0sZisV4Pi/lsuVrNZrPNzc1saSfwh3/yp4vF4jGPeuQ0TRuLxYXd3RPHj89ns/vOnj118uS58+c3NzdXq9XW5ubRcrmxWGxtbd15993HdnYu7e1tbmzM+v7g8PC6a69trd11993HdnZaa7XWw+Vyf3//2M7OsZ2d1Xpda93d3d3Z3u77fpqmcZqOlsud7e02TX3f/8PjnzCbzR7+0IccHB4ul6uTJ07cc9+911977YXd3VMnTvR9b5vnBTrcv8D9aikGQBKQmSEZJNnmfq21vu/HcayltEzbtrtaW2YpJTMlZWaJSLu1JgmQdLRc9l0363tDZtZap2nKzK7WqbVaa2aG1DIjorWWmX3XtcxSSmZmZillGAZJfddNrUmyXWtpLW0DkiRJyszMjAhJklprQEgts+u61pokSZnZ1TpOUyllmibbPF+gw/0L3K9EAGlLysxSyjRNpRTAtm0uK6VkpqTMBCICKKWM4wjUUqbWaq3jOAJ932Xatu2IkJSZ09RKicyMCNsRAdgGbEeE7VprZtrOTEBSREzTVGvNTCAibAMtEzsiMjMihmHo+z4zu64bx7G11nVdRNhurZVSWmuSgFrKOE22I8K2JF4QKJ/2qZ/EZZIu7O6uh6FEHBwehrS3v7+5ufmkpzz1vrNnu667/a67Tp440TL39vcz8xm33bZYLEI6Wi7HcXzGbbdd2tvrum7/4KDvunPnz28sFrXW226/86lPf/pyudzZ3h7H8dLe3jCO21tb+wcHtz7jtpMnjtve3z9o2Z5x++2z2SwijpbL1trTnvGMGmUYh1JKa22cpr29/Y2NxaW9PUnr9frS3n7L1lp7+q3POHXyxNOf8Yyu6/qu+/vHP37v4ODvH/d44G//4R+6rhuG4UlPecrWxuYf/MmfrFbrs+fOnTxxorV2aW9vtVqN47i5sZGZknhBoAKAxDRNf/W3fzufzWez/s677zl14sRqvXrD133dcxfOP/whD/mjP/3TcZzOnj1Xa7G59777tre39vb3F/PFxUu7Z8+dn/X9iePHn3Hb7Zubm5f2LrXWXvolXiIz/+EJj9/c2Lz+2use98QnDsNw37lzm4uN13y1V/3DP/nTw6PDs+fO9bM+pDvvuntra2v30t7W5uaF3Yvnz5+fzWbPuO22/YODUydP3nLTTU96ylNPHD/2qte80t/9w+POnT9/7TXXLFfLcZw2Nzbuue/ee+6995777nuxRz/64Q976Gq1GqfpNV71VX71t35rHMed7e2/f9zjb7/rzkt7e6/4si/71Ftv3T84GIbxtjvuuP3OO2b97BEPe2icOsULB8EzCbRcrWotR8tlSDvb28MwDsOwvbl15vTpjcXGtddcc+LE8dZa11Xj48eOjeN01z13r9dD19Xrrr2mlDKfz+w8tnPskQ9/eMvsui4idra3b7z+uvMXLly4ePHhD3nImdOnx3Hc2Fhce+aaU6dOtmnqamf7xPFjrU133n3XsB5Krddde23f98ePHTtz6tTTbr2177uHPvjBbZqOlkf9rC8l9g8OTp08cdONN2wsNk6ePLG1tbm9vdXVWkpZzOd/+Kd/+qCbbtpYbNxz7719373Yox41m81+9w//8O577l3MF4jFYv7Ihz9coVIKNi8c6HD/AiCptfaUpz3tIQ9+cFfrOI4RkZl932dmRNheD8NiPgeGcXRm3/fTNGVmlOLMiMjMWuvRcrm9uTlOU0SUiP2Dw9l81tW6Xq8l1VptR4Tt9Xq9WCywx2nKzL7vp2nKzFJKy6yl2B7HaT6fLVerWd8DEbFer2ez2ZOe8tTzF86/0su/fK318OhoY7FYrde1lFrr3v7+xsbG0dHR8WPHDg4OWsudne0SMU7T4dFRtrZar0+fOmUbQBIvAtDh/gXuV2ttrdmWZFtSZkqyLSmklglIkmQbEBgk2RakXUrJTNuSbJdSMtN2RNgGJGWmJEm2bUuSlJkRAdiWZBsIqWVGhG3bkiTZBrqum6YpM0sprbVSSmbaLqW01mqt0zSVUoDWGgCUUgBJU2viXwN0uH+B+0kCIsJ2SAbbkmzbBiLCNiBpmqZSSimltQbYllRKGcfRdt/3rbWIyEzbQETUWsdxnFrru661VkqZpqnWajszSymtNUCSpNaaJKCUkpm2I2KaplpKRBiGYSilRERmlohxmiKiRLTMWuswjiUiM0OKiJZZS7GNlJlAyxQvMtDh/gVAUmvt8U980mw2u+6aM6XWYT1EiVpra+3Ou+665eab+67bPziYzWaCcRxPnDhxeHj45Kc9zembb7pxe2trGIb9g4NTJ0/2fX/XPfcc39k5PDqaz+dd1zlzGMc7775bcMP112fmbDY7PDw8dfLk2fPnZ30/m8329vZOnjgxTdM0TcM4HtvZGcYxpL39/fls3s/6w8PD06dO7V66dLRczmez1Wpda5n1fd/3h0dHp06eXK/XB4eHG4vF7qVL115zzWq16rpuHKflarm5sbF/cDBO09HR0XXXXuvMrc3NtHkRQeV+LfPS3qWXecmX/Mu//dvz5y9sb2/3fTefzW67485TJ0+cv3hxPpvvXtpdLBbnz18oJd7wdV/3r//+789fuPDSL/7id99z79l67um33QY8+hGP2FhsPO3WW0+dOHH+4sWjo6Nrr7lmvV5f2tvvulqi3Hn33Zcu7c3ns+uvu+74sWN/83d/N5vNpnFabCz+4fFPeNAtt/z94x73mEc9suu6pz796cMwnDt/4djO9oWLu8M4vOWbvMk/PP4JF3YvzmezxWKxXq1LKav16uLupbd5izf/4z//8/vOnjt14sRqWL/cS73UOI5PefrTl8vl4dHRsZ2dWup6WNda/+bv//7Yzs4bvu7rtmGQxIsCKvcTHD9+fHNzc7Vad313y003As+4/Y5Z3193zbXnzp8HP+jmm59x++3b21ubGxu11lnX9113+tQp4O+f8ISd7e0br7seMZv1mFKr4OSJk/v7B0fLo4c86EFbm5u33nZb329J2tneedDNNwNHy+WxnWPuE+nYsZ2nP+PWkydP3HD99bO+v3RpbxjHRzzsYcBytTpx4nhEnDxx4tTJk8a7u5dOnzp537lz8/n82mv6vuu2NjbbyXbtmWtms9kwjjdcd93fP+EJD33wg59x++3XnD5z4vix8xcvZmZrefrkqbvuvvvM6dO8iECH+xd4AEnjNIUUEYKWmfa87x//pCfddOONfdeVUoBxHOfz+TiO4zjN5zPbwzjO+j4zJZVSDg4P57PZMI7z2WxqDbuWkvbU2mI+P1ou+66TNI7jrbfd9vCHPlTSarXa3Ng4Wi5ns1lmllKGYYiIiJAEDMPQ971t26AIjeMYEbXW1Wo1n82QVqvVbDbLTEmSJIV0tFr1XWdbUmbaNghKKbyIQIf7F3hOkgDbgCQgM2utmQnYBiRlZkQI0gZCSpvLbJdSMjOktCUBtgFJmVki0uayrtZxmoCIaK2VUjKTyyQBtrkspLR5AEmA7YjITCAiMpMHsF1KyUzuJ4nLbPMiAh3uX+BFYFsS/wlsS+J/OKi8aCTxn0MS//NBcNWLAoKrXhQQXPWigOCqFwUE/xFsRwQvgpB4AczzYZvnYZvnJIl/DUn8q0DwAJIkSYoISZIiQhIgCZDE/SRxmaRa6/7Bvm1JkgBJ3E+SJEmSjlYrSSGFFJIkICIklQgeQFJItVZJgCRAkqRaa0RwmaSWuV6vIyIiJJlnkhQRkrhMkiRJEbFarYCIkARI4oWDyv0kPeOOO3a2t/cPDhbzeYlYrlZTa/O+r109PDza2dnevbR3/TXXzOfzaZrGaZrPZsDTnvGMzY3F/sHB5sbmqRMnDpfLo6Ojvuta5o3XXbcehtvuvOOa02cyc5ymvb2948ePYcZxLKXMZrO+7y/u7s5ns+Vq1ffd0dFyNpsJhnGMiKPl0fXXXre9tXXHXXcaQpGZ6/V6e3trtVrvbG/v7e+XUsZpjAjbrbUTx46fOH5899Kl8xcvHNvemabp5IkTpZQ77rqrq7XrunGajpbLrc2Nw8Ojvu+7rk5T21gsjh87lpk8X1C5n6C1dunSpXGapmlqrWXmOI5sbx2bz/YPD08cP75er5er1cbGRsschmExn9veP9h3ZkQ5Wi67WodxnFrr+37/4ACpZS5Xq+Vqde2ZM7fdcUftuvV6ODg8TGe23Nne2trcunDx4sZicfHS7oNvuWVjYyMzp2lcrlalxD333Xdse+f4sWPL5Wprc/NwubTzwsXdo9Xy2PZOKSUzW7Za6v7hAbbNqeOSNE3TarXGe+thOHniRGYuV6uxlOngANz3/TCMl/b3FvPFzvb2MAw729u2eUFAh/sXuEzS7qVLXdeth2Exnx8tl5sbC6fHaQLS2Xf9elhvzBez2WyapmEcN+bztJerVYlYrlbz2exwuZzP+mlqfdcN03h851hr7eLu7rGdndlsdnB4uF6vNzY2xnEspdg+Wi4X8/l6vZ7P50BE1FIOj44iIjO7rpumadb3s9lstVrN5/O9/X1JpRTb6/V6PpstV6vZbDaO42I+t71crebz+ebGxnK1Ojo6WiwWR8vlqRMnQrr7vvtC6vquq90wjl2t0zRFCaHMLCW2NrcyE5DEcwEd7l/gfrVWZ3ZdN05TicjMiEhb0DKxFWFbku2IsI0dpdjOTNtd12WmpNaauEwqES0zM0spgrQjwjYQUsuspYzTJCkzAUmAJNu1lKk17lcigNaapFJra62U0loLyQBERGvNtqRSSmZGxDAMQN91LbOWMrVmO6SISBtbEbYzE5CUmbZ5IKgAYCgR5y9cAA6Pjna2t1trkg6ODrc3t4DtrS3bAcvV6tLepc2NzeVyWWuNiGEcF/P5hYsXt7e3x3FczOfL1fKa02cknT1/vpTS1dpaq7Wu1mvbpURrmZklorW2sbE4PFpub26u1uvTp0611iRxWWbecdddp06eXK1Wi/l8PQytNdunTp4cxvHsPfdsbW7u7l06deLkOI6ttSjlaHl0fOfYOI6llP2Dg1nfT9N0zZkzwJ333N3VbhjHYzvbG/PFxUuXjpbL7c3NtI+Wy67rxnHc3FjsHxyeOXWq1mqbZ4HKFTZweHS0vbV1+513XnvmzKX9/a2NjUv7+5fml6R47KMeNU1TRKyH9cVLl46WK9uHh4fGma61LuazcRwv7V2a9f2Fi7vXnD5je/fSpQg53c/6o6Nl19VZP1ut16v16rprrmktL+zubmxsXLh4cWd7+2i1aq2VUg4OD0KxsbEBjNN4eHT0jNtvP3Pq1MXd3WM7Oy3z9KlTwMVLu/PZrES5tLd39vy5Wut6PWxvbbXWzp2/cPzYzvkLF8+cOrVar0+dPClp99Je13V33XP3wx78kOM7x3b3Lp2/cPFwe3uaphPHj9dSlsvlcrW6sHtxa3Pz2M7ONE2SuAIq9xPM5/Npml7isY9dr9fbW1u11uuuvXYYhr7r7j179tj2dq217/pj2ztbm5tHy6Mzp04dLZddV1trmZ7PZrm13XXdzva27VLK9tbWbNYfLZfHtnc2Fouu61er5c72dss2n81ArbWIOHH8+DAO89ksIlpri/kCcDoza621lFtuuhHY2rxxGMdaCxARx3eO9X03m81am7ru+pCmNmXmrJ9tLBZSHN851jLn81kpBdjZ3p7PZhuLxWI+H6fp5PETm4sNRQj6vu+77vDoaD6bH985Np/NMlMSzwI63L/A/WopmVlqtS0wYCMBbZoUITBIss1lkkqEbdtpR0Rm1lqHYQC6rrNdIqbWJNkGJAGZKYhSWmu11nEcbUeEwICdNtDVmnZISFxmexxHSSWKsW1JkmxLwjZIsi0wSGqtAaUU25Jst9ZKKeIyKTMBSbYjIjNt80Cgw/0LXCbp0t5e33WHy6PFfFFLGcZREpCZEqXUcRw3NjZqKYCkzIyIi7u7s9lMUt91wzCUUg6XRyeOHQcu7e91tTtaHm1ubAoM2FNrEeq63vZqvepqt16vj+3slIij1Wocx1priej7HliuVqUU7GEcJWVmKWVrYyNt25IAwDbPImEjYSNhSwJsS7ItictsA4AkwLYk25J4LlB5gHvuu+/UyZNHR8vW2uHR0naEFvOFxMVLl66/5tq77733phtumG1vr9fr1Xq9vbVVSjk8OoqIZ9xx+/XXXHvXvfdec/r07t6lrY3N+Xx+9ty5Y9s7R6tVKfX2O+/Y2do+d+HC6ZMnFbFar/quu7S3v7O1NUxjRJw+efLchQvDMOzt721sbLzYIx+1XK+f8OQn33DddfsHB1OblsvlieMn+q7b3tryNEnifpJ4IAlAApC4TBIgiftJ4gEkAZJ4XlC5n6TNjQ3g5IkTtg+PjjYWC9ulRKY3FouI2FgsMhOIiFnf27YdEcM4nDx+YpymE8ePS1rMF6UUpzc3NoxPnTiRmTvb24v54uSJ47XWCHV1Czh9suv7/uDwcNb3ac9nM+DaM9eM44g0TdOJY8dmfT/MZtdsnx7HcWotM/mvBzrcv8D9bEcEl9mWhG2wLcm2JEm2AUm2AdtArTUzIyIzbQOA7YgAbJdSMjMULRtQSrEN2LYtybYk2xEBZCZQSslMSbYFLTMibPNfDHS4f4H/CLYl2ZbE82Nbkm1JgG1J/EtsS+K/HVT+g0gCJPECSAIkcZkkXgSS+J8AgqteFBBc9aKA4KoXBQRXvSgguOpFAcFVLwoIrnpRQHDViwKCq14UEFz1ooDgqhcFBFe9KCC46kUBwVUvCgiuelFAcNWLAoKrXhQQXPWigOCqFwUEV70oILjqRQGVB8hMrrosInggqNxP0tb2NhIYxP9TBmEvj45s8yxQAUDSOI5/8ft/MLVJEub/KWG7lvISL/ESfdfZ5gqoACApM++6+65hGCNk/p8SpN3V7sUe+1j1vW2uAB3uX+AySYvNLRBXwfJw3zbPApX72d6/tMtVl5VSeCCoPEAphaueLwiuelFAcNWLAoKrXhQQPIBtwLZtnlNmArYzMzO5X2by/wEEDzCfz23XWvu+tw3Yti1pa3MTqLVu7WxvbW8DtoGtzU1J/J8HAQCSMvNJT35yKeXSpUu33X573/eSaq1936/W6z/98z+XdGlv77d+67d/7/d+v5RSSomIP/3zP59a47KI4Aqb/2MgACAz5/P5p3/251y4cOHHfuInf+wnfrKbzQ4ODs6dP3/h4kXbP/FTP73Y3PylX/7lL//Kr/qxn/yJL/rSL5vPZufPn//Zn//5u++6a2Nz0/bBwUFEIFErEv+XQAWA1lrtNx/58If98Z/+6X3nzh7bOfaWb/02b/vWb/3EJz/p1luf8UHv//5934PGaXrkIx/x4i/2Yj//C7/4nu/3/rfcfPPm5uYv/eqv/sqv/fo999375m/6pq/8iq94uLurTPU9tWLzfwMEAEiC9sqv9Eq/+Mu/cnR4dPr0qUc96pGv9qqvMqyHo+XyL//6r+64806y9V3/53/xF5cuXfqMT/2U5XL5cR/9UX/9N3/7zu/wDl//zd902223vcqrvOZh+tK3ffPtr//ayz/+o9jYpDX+b4AAgIgYVkev/Eqv9Nd/8zdbW1sPuvnm06dO33ff2Sc88YlnTp966tOetrm5ScQ0je/wdm/3sR/ziTdcf/2J48cVcdONN/7gj/zIe77bu585feZP/vB3trpFrodcLmkN8X8H6HD/AveLiLPnzm1sbPRdt1wuT5069eSnPGV7a0tSKWVnZ2e1Wk3TtFgsbB8tl1ubm0fL5eHBwY033nh4eLhcLk+eOjXu73m9js0t9T02/zeADvcvcD/bfd+31mxHxDRNi/l8ag2w3VqLCCAzgVJKa62UEhHDMJRSImIcR9Uqya1h838G6HD/Ag9gG5BkW5Jt7icJsC0JsC3JNiDJNiAJG0Di/xKoPCdJXCYJkMRzksRlkgBJXCaJKyT+74HgqhcFVB5AkqTWGiAJSFs8W0RkJg8gCbAtSVJmSrLN/STZBiTZBiTZ5n6SbEeEbcA2l0myLYn72eYySQZs7hcRmcllkgBJmckDSOIy21wmybYk24AkXhCo3E/SMAwtc3trC2itZeZiPs/MzIwIYL1ez/reEFLakqZpsj2bzYZhGMdxY2NjvV7XWiMCaK3Z7rqutQaUUjJzmqauVoVArTXbfd8vl8uIiIi+69IWDOPYd13a4zSVCKCUAkTENE0hAREhyfYwDPP5vLVWSxmnyfY4jhsbG621Uso0TbXW9Xptu6s1SsEGhnHs+z5bMwCZyQsClfvZ/v0//uMH3XzLsZ3t3UuXDg4Przl9erVe11qP7xw7ODy47+y5Y8d2Zn3fz2ZHR0cbi8Vqvb7x+uuf+vRbx3G4/rrrnvzUp87n81k/O37smJ2ZubOz09V6+513Hj92rJRy/sKFk8ePn7twIRSz+ay1tr21VUu565577r7n3sV8vrm50Xd913XjONx0441333vvU5/+9GvOnAGmaXrQzTcfHB6O07S7e+nE8WPHjh3b3z9YrpZnz5274brrpta2NjfPX7jw0Ic85MlPecqFi7sPffCDaq17e/tnzpw+f+FC3/V7+3vz+Xwxn0+thXTjDTfcetttd95994s/5jG2Nzc2eEGgAoCkzDw8OprP+r/5+78fx2lrc/PCxYs2JUKhe+699/SpU7t7l4DMtNnc2Ljrnrtf7ZVeaRiGO+668+LupXvuu3exWJw4duxv/v7vdnZ2pnF66IMffMN11/3ZX/7l9ddeF6F77jv7pm/w+geHh3/9t393zZkz0zQ96OabTp08+cQnP2Vrc+Pue+89PDochuHaa67ZPzg4ceLEE5/ylOVy9ehHPvJXf/M3z5w6fetttx8/tvOM2+/YWCyO7Wx3Xbd7aW/30u6N19/wD49/wmKxODw6jChd7TY2Nm67446nP+MZ5y9cPHHi+OOf/KSHPvjB99x73223375YLE6ePHHu3PnZrN/e3n7q059+cHDwN3/3933fveLLvdw0TZJ4XqDD/QtcJukfnvCEne3tcRxtSola62I+B85fuDBN0/bWNmIYBuDkiROttXvuu+/G66/PzLvuuefYzs7u7qUTJ47bnqapq3Wcpr7vr7vmmic8+ck729u7ly6dPnXqpuuvP3fhwvkLF+bz+TRNtdbTJ0+O03TPfffN+r6rdf/g8OSJ4/fed/bFHvPoW2+7bbVavdhjHvO4Jzzh1KlTq9Wq77q777339MlT4zQul0tFlCizWV9KOTw83NjY2NzYqKXWrh4cHJy/eHFne3tzY2P/4GC5XB3b2d4/OIiIM6dPX9zdzcyHPvjBj3viE/uuG8ex7/qHP/Qh4zRJ4nmBDvcvcL++62ynHRGZGVLatksp2GkDIUWJ1jIzay2tJVBKycyIcKZBkjMBQ2utq9UgKTPHcexqLbVO0yQJyExJkiRxWWaWUsZxLKVIGsex67rWWi0FUES2BihCUomYWrMtKaSpNWxDRESE7dZaiTAAkmxnZkSAp6l1XQcIDOM48oKADvcvcFlEDMOwWq+PHzvWWpM0TVNE1FozMyJsC6bWDo+OZn3f9/00TZIA26WU1pqkUso0TZJKhCLsjCi2JQEhjdM0tTbre9uSWmu2u65rrdmOiMwspQjMswnGaRrHsdZaa5VkexiGw6OjjcWilJL2MAx910nKzIhorUnqui4zeX4k2eZ+knhBoHK/zHzCk548TtOZU6fOnD61f3Bw731np2na2dk+deLE/uHhfDZbr9c33nDD0299xp133/2SL/bYJz/taTdef8NytTw4PLzhuuue/NSnnjp5antrq9b6qIc/bHdv7+8f9/hTJ07MF/NSymq16roOWxGXLl06ferUNE3T1E6dOllKefoznnHq5MkScbRcbm5uXrh4sZQi6bY77rjphhuAWmpr7eKl3Zd6sRe74+67Dw4Oj46OXualXvIv/+ZvNzYWq9W677t77zv7hq/7Ok99+tPvvufeiABHlFd8uZeVxAsgiRcFVAAIablaL1er7a3Nv3/84685c/rpz3jGrJ91XXdwePDnf/XX89lsc3PjEQ972HoYpjbNZv0f/dmf7WzvPO3WW9fr9dbW5l/+9d/0fX/+woULFy9ed8010dWnPO1pFy5evPe++06dPLG7t3dse2f/4ODYzvYdd921ubHxN3//D9ecOX1wcPASL/ZiwK233faUpz39xPFjh0dH09T29vdKlGvOnO77/s//8q8iYrGYL+aL7e2tg8PD3/vDP1zMF6dPnexq3d7eyswnPvnJL/0SL7GYz++4665rr7lm/+BA0sXd3b29C621Wqtt/j2gAkDL3NhY3HjD9Y9/4hNf7qVf6uy586/0ci83TlMtZbVeP+TBDx7Hqat1nMaNxWJne/u6a64ZxrGUUmvtu+7g8BCotdZSTp869YQnPfnee+598C23ACeOHT9aHj3y4Q9HGtbDxsbizOnTfd+31mb97PDocHNjY3tr6+hoefr0qXvvu++hD37wehgER8vlNWfOTNN0bOdYrWU2m124eHHW95ubmy/zki+5sbEhtH9wcHzn2LXXnDm2vd3PZqXEiePHu1pvvP76WuvW5mb/kH42m43jKIl/D9Dh/gUus911XSllHMdSim3bAklpc7/WWkQAJSJtAFsRAGC7tWYbKKWUUpyJZBuQlJm1lKm1iMjMUoozM7PUmtlqqVNrgCTB1FpESLJtu0SM02S76zrbwDRNXddN09R1nW2gtWY7ImxHBDCOoyQeQJJtSYBtLpPECwE63L/AZZIiQmAAJHFZa62UkpkRAQzjWCJqrba5LDMzs++69TAAs9lsmqZxnPq+kwS01jLTtiRJmTmfzabWImK9XpdSgIgoJVarddd1ETGOI9D3/TiOXddla6XW1WpVSun7fhxH2yUiItbDEBFAa9l1VZLAtiIELbOWMk1TlMAYJE3TVGsZxykiaq22M7O1xgsBFQAkrYfhb/7+76+/9tpSimCcphLFeHtzc29/f3Nz8/Do6MLFi7WUE8eP26RTkqStzc3ZbHbHnXdd2ts7fvxYKI6Wy7Pnzt184w2KsL2xWNx4ww2Pe8IT7r3vvs2NzWEcr7vmmp2d7Sc/9amL+TztWspsNpv1/elTp37793//ZV/ypW67844Tx44dHi0Pjw5Pnzw5m80u7e3PZr2k1Wp9/NjOYrHY399fD8NDHvSgo+UyW+5sb912xx2llGlqpZblcjkM44njxy7t7V17zTV7e3ul1JatlLK7e2maxs3NTUld14XUdf2115yZpkkSzxdU7hfS/v5BttZ13eOf+KSbb7xxNptduHhxZ3v7/IULwzi+5Is9dhjGi4e7d997b9/1R8vl6VMn773v7M033nj99dc97Rm3Xrh4cWOx2L20d/rUSeCP/uzPdra3I2Jrc/Paa66ZzWa333XXYjartVuv17t7l7Y3t2697baI2NnePnvu3KmTJ1/lFV9R0p//9V+fO3/u2M7OxsbG2XPnlsvl7qW9Yzs7h0eHESHp6c/Ine3tpz/j1o3FxkMf/OB/ePzjD4+OXvvVX/0pT3v6tddcc9/Zs6v1StJ8Nn/6bc/ou+6+s+fuO3fW6cc++tGPf9ITMadOnbznvrOHR4cRsbFYzPrZ9dddywsBOty/wGUR8Yzbb9/c3Fyv1ruXdq+/7jpJFy5eBNbrYWd7a7Uedra3Vqt1hJar1emTpxQ6f+HCbDY7ffLkMI5nz53b3traPzjY3NiwPYxjRIR0eHR0w/XX11LOnj8vadb3Fy5ePHHixLlz547tHFuulsePHds/OOi67rprrrm0tyfp3PkLJ44fu3BxdzGfrYdhc3Nzc2Pj4OCg1Prkpz71mtOnJS3mi6lND33wg4+WS2dubW097dZbu1rHaRLa2trsu+6Ou+8+d/78Ix/+8LPnzh3b3jm2s33bnXdubW4ul8sTJ05M0zRNU9/3y+Xy4Q996DQ1iecPdLh/gfuVUrAjQtLUGnaUIilCbWpIXGY7Qm1qipBku7UWEbWUlilIW5LAYLuUMo4j0HUddtqSbEcE2Om0IyIzM7OWknZEZGYtBalEjNPUWouIUspqtZI0m81aa0BrTZLttLtaJXFZZgrGaYqIvu+dabBdIjJTEZnJZYIoZb1eS+IFgeABJKW9Wq+n1kKKUjKztXZ4eKSIzByGYZqmiJimVmodxzEzQ4oI4Gi1ysyIKKVgSwJKKa21rtau61ar1TCOtgWSbK/XI1AiJEVERKyGodYKSFoPw9HR0T333ddaq6XYPjo6ms/n8/l8miZJkmzb7vt+1nURMY4jtm1A0mw2k7RcrQDbwzBM0xQRbZqcKUkwjOPR0VEphRcCKgDYrrXeceed62Gwfe2ZM7t7e621s+fOHd85drg8OnXiRNd111977Wq9furTn37q5Mn9g4Oj5XLW9yXKyZMn9vf39/YPHvygW/7h8U/o+/7kieN7+/vz+fzo6Ghvf39zY2Nzc/Ouu+9+6Zd4ib39/QsXL9Zap2l65MMfduszbk/nNLXMdv7ChZtuuHEYh6524Ec8/OF/8md/fnh09LCHPGS5Wt5739mTJ44bxmG49pprVuv17u7uehiuu+aacZpqrYeHh49+5CPvuOuuw6Ojw6Oj66+99uLu7qW9vWvPXFNque/s2cV8vrO9fbRcnj51qtZ6/sKFrutuuemmP/2Lv3z4Qx9y4vjxqTXx/EAFAEmttb/5+384PDq85syZe+6992i5Wg/r7a2tO+68q++7+86e7fv+phtvvOsZzzh3/rztP/vLvzp18kQp5UE33/x3j3vc/v7+jTfccOHChTvuumtzY/G0W5++vbV1aW//xInjly7tbW1u3nf23DNuv/1Rj3jE3z/+8Xfffc8115yppV57zTV/9ld/FaHTp06Nw1hK+YcnPP7Spb3Nzc1HPOyh2Mv1qu+7s+fOPu3WZ5w8eeL2O+9sLfuuO3/x4tmz5/q+P3nyxN89/vGbGxv7+wdbW5s33XDDM+6448KFC6dOnvqLv/7r5XJ17bXX3H7nnZf29ra2NvcPDu65975xmu6+517gtjvuePAtN19z5syTn/ZU8Ku90iuN46gInhfocP8Cl9l+xu23X9zd3Vgsau02FvPVer25sbFar0spfd+fP39+a2vrphtueMrTnra5ubm3t3fixIlxGAHj5Wp1/bXX1lqXy2VErNfD/sH+yRMnutrtHxxI7Ozs3HnXXY942MMu7u7uXto7fepka21ne/uee++1fezYsWma9g8O5rP54dHhzva2pK3Nzb39/QsXL544fnz/4GBjsZimtrm5USKOVquLu7snjh2bWutq3T84OH3ylPH21ta58+dX6/Ws73f39na2t233Xbd/cLCxsZGZIT316bfeeMP1QC1lNp+fOnHi8U980vXXXXvm9OlpmiTxvECH+xe436zv18PQWttYLKbWJAkkTa1JAqZpiohSClgKZypCEjbSNE22IwKQFFLLtF0iDJlZSxnGsZQSEdkaUmut1gpkpqQI2UjKTCAzIyIiMrNEpC1IG1sRJaJlAkBILRPIzBIREWlHhDMB2xFh2xDSar3uuq6UYjszM7Pv+2mapmmSxPMFOty/wGWSgGmaZrMZNpJgtV4Di8WitSZYrlZ935dSMjMiWmvTNK2Hoe+6UgogyTbPl4QtyTb3k2SbF0CSbf41JNnmhZJkm/tJSlsgiRcEKgBIWq/Xf/W3fzufz9fr9fXXXTdNrevqdddc87Rbn2Hntddcc+tttw3DcNMNN7TMxXxxae/ShYsXNxaLZ9x+x5u90RvYXCGJF0QCJPEAknjBJPGvJIl/iSQeICReOKjcL6IM47gehnEc67lzd9x518bGxjWnTz/laU87ferUbXfcMZ/ND48OL+5eeuTDH/aEJz/pzrvuuumGG1br9TVnTk9TK6XwfxjocP8Cl4V05z331FKGYTh+/Pjh4aHta6+55p777tve2lqv1+cvXtzZ2lLEarWSZHs2mwm6rouI48eO2eb/KtDh/gXuV2sFJLXWIgKYpqnWmpkhRSmZCUjiMtuAbduZyf9hoMP9C9zPNs8kMCDJNv8iSfyfBpUHkMSzicskcRUEV70ooPIAtiXZlsRzss0LIInLbEuyLYnnZJvnIYnLbPNCSQJs8wCSeE62AUCSbUm2JdnmXyRhS+L5gsoDdF2XmRHRWrPN/WyXUiRxmSRnRimttVrKOE2ZWUopES0zpHGaJPEAfdcZbNsupWRmREzTlJmllIgAQjIAtm1HRLYWEZmZNtDVmjYgCZimiefU931rrZTSWouIbK123dRaRNgW95Nsh5Q2AEiyHRHjOPJ8QeV+tu+8666tzc39w8NTJ070fW87Ilprtdbd3UuttWEcIuLw6GhjsViuVsd2du64886HPOhBx44dO3f+/PkLF66/9tqDw8Prr7tuHEdJXFZKedJTnzafzWazvuu6+86ePXnixIWLuzfecP3W5ub5CxfOX7i4ubE4Wi5LlFJLZs5ns0t7e2dOnT534fypkycXi8U0Tffed9/W5uY4TgjbD7rpppbJ/SLiSU956vFjO/fed9/11123HoaN+fy2O++8/tprdy/tbW9tDuOYmbYlzfp+uVptLBallNba/sHB8WPHLu5eethDHmyb5wWV+0n63T/6o1d+uZf/y7/9m1d42Zd98C23HC2X5++779prrum67ilPe9rFS5eO7WzXUi9e2n3MIx/1O3/wh6/0ci+bdqkVOzPXw/CM2+94+m3PeJs3e7NxHLnMtqSn3vr0m66/4fa77jx98uTtd955w3XXLeaLWgqQmav16vyF8/fce998Psv0iRPH+9o9/bZnvMRjHzuO4+6lSwcHh6dOnliuVpf29rY2N++6555MP+zBD57Wa0mA7Yi45757wWlP0/S7f/CHr/Xqr9ZaK6UcHh6WEvedPXvNmTMlYpym1Wp9cXe31jpNo21ga3PzGbff/uBbbi6l2Oa5QAUASS3zlV/+5WspL/liLzafzVprJeL0qVPAMAzXXnPmzJnT6/VQSmxsbtRaXvkVXv7Y9nbf912ttiVJOnnixGzWL1crSVwmaZqml3jsY689c2Y+n/Vdd+rEyY2NjXMXzk+tSZIk6ZEPf/iDbr7ZMOv6+86f29rc7Pvu+LFj5y5c2NrcPHfhwsbGou+648eOTdP0qEc8IluO0yQJACTZvu6aa2az2elTp2y/9Eu8RN91t9x0E1Br3dneXq3WJ0+cKKXcc++9O9tbh0eH21tb4zTtbG3tHxzM5/NrTp+2zfMFOty/wP1qrbYjorWWmYAk20CtVWAAbGdmrTUzbWcmICkigIgYx5HnVEpprXVdZxtwpiJaa7YlRYRtSYDtiLAtyZlItiVlZkQAzowIQ2uN51RKAWwDtZZpaoDtiMjMUkpm2pYkqbXWWpvP55mJnXYtZWrNNs8LdLh/gfvZ5n6SANuSANs8gCTbXCYJsM39JPGcbEvKTEncTxJgA+ZfIsk2IMk2IInnZBuQBNiWZBDYlmRbEmAbkCQpM7lMkm1JPF+gw/0L3E8SzykiMlMSNhJg2zb3K6XYlpSZEZGZkjKT5yTJdinFtiTbmSlQhG0JG0mZCUSEbUm2IyIzQ2qZ/DeCyv1sZyZgwI6IlrlarRbz+XoYSinZWqk1IkoEYFvSpb29rtZhHGd9f/7ixTOnT0/TtJjPbfMA0zTVWs+eOy/R932tdTGbTa0N63UtpWV2tY7j2Pe9pOVy2XXdOE0lYrVez2ezYRjni3lI/HeBCgCSbP/8r/zqNadPnTp5ahiH226/46Vf8iXOnT+/tbkJ9H1/dLS8sHtx3s/SubW5ubm5+aCbbvrzJz7xoQ9+8NOf8Yytra1hGJbL5d7+wcu/zEuP4ygJsN133a/91m/PZ7NS4pEPf/gTnvSkUydP3nX3PcePHzs6OlrMF+thPZ/PV6vV8WPHHvrgB//d4x63ubm5f3Dw4Ftuuffe+3Z2tu+8++5XfcVX5L8RBPdrrV1/7bU7Ozv3nTvb1ZrZVqtVRGQmIMhs25tbD7rl5oODw+Vydd/Zs/sHB6DFfHHDddfVWiNiY2NjuVpmpiQukzS1dub0qePHj7XMvu+vu/bazY3NqU22bafTdmaGYv/g4L6zZyXZXq3WR0dHCtmOCEn8NwId7l/gMtu2JR0dLefzGdBaW63XG4vFarWutYzTtL21Jam1Jmn/4KDvumEcNxaLiGiZ6/W667psbWNjwzYPkJmSjo6Oaq1d1wGSMnO9Xteua611XTeNI1KbWilRa52mqdR6dHS0sVis1uvNjY2I4L8L6HD/AveTZLuUkpkAEBGZGRG2JbXWAEm2Sym2JWWmbUkRYRvITJ6TJNulFNuZKTBIkmRbkm1JgISNbUm2IyIzI6K1xn8j0OH+Be5nGzAIDALbknh+bEuyHRGAbduSeCAJm8skpS1eGNuSJHE/25JsS+K/EVQeoO+6zIwI24rIzJBaZkhpS+IySdiKyMyImKYpM2utIbVMARIgKTNDsm3IzL7rbEvKTEnYSABYCuyIGKfJNveTBEjivxdU7hcRj3/Sk0+eOH5xd3djY2O5XG1ubuzv7588cWL30qX5bLZcreezPqKM41hrWa7WJ44fv+/s2Yc8+EFbm5t33HXXweHh9ddeu1qtwcB9Z88eP3786Ohoc3Nza3Oz77rHP+lJ15w5c+nSpWvOnDlaLtfrdWstImZ9f7RcLubz/YPDm268YXNjIzP5HwUCACSt1utLe5cy886777733vv+5M///I4777r37Nn9g4Nxmvq+LyVsHy2X9569775z5/7sL//y9jvvOH/xwsHBQa11b3//jjvvbK1tbCye/oxn3HX33REx6/thGJbL5Z13311rXS6X0zTde/bsU5/+9L/7h3+opXZdly0Pj5b33HffvWfP/tGf/em58+drrbb5HwUqANiez2bHjx2LiBuvv/7E8eMnThwvUYZx2N7aHsdpe3t7Y2PjwsWLGxuLrrtmPpudOnFyNuv3Dw76vm+tHdvZERzb2am1nj51qqv12LFjXa211u2trfMXLu7t729ubm4sFqdPntrZ2b7mzJmtjY2+7++5776t+UK6Zmd7e2d7e3trq7XG/zSgw/0L3K+rNTOjlMyMCNuClhkRrTVJkgBJtiPCmUiZ2VqrtUbEOI62u67DTtt2KcWZimit1VKm1motNkBm2o4IIKS0I6K11jLF/zCgw/0L3M82L4AkwDbPQxJgG5AE2AaQBLa5TJJtJGwukwTY5jlJ4jkZxH8rqDyAJJ6TJF4ASdjmmSRJsg1I4gEkSQIk2UYCJNkGIoLLbBvEM0nifiXUWvKC2ZYkybZtSZK4zDb/flB5ANu11mmaIgJomW4NMBaSFBGAJKC1BkQEYLuUMo5jKUWS7cyMCKDWanuaJsB2REiSNI7jrO8NwzBIAiR1taZtOzNtc1naR0dHJ44fz0zuJykzAUmSaq3jOI7T1NVaa2ktp2kCDLUU/v2g8gB/8Md/curUyWEYtjY3T508ubm5+fePe/z11117z733Xnvmmv3DgxKxHoaNxULonvvufcyjHnXm1Knb7rzzzrvu3t7eWi6XL/0SLyHp7x//+GM7Oxcv7nZdd+HixdOnTp6/ePFRD3/4bXfcceLYsYuXLtVaZ32/t7+/ubm5Xq+PHzt2aW/v5htvfMbtt19z5szGYtHV+uSnPe3MqVNnz5+PiK7W06dOtdYkcZmkf3jCE06fPHXv2fs2Fhv3nTv70Ac96Pa77nr4Qx5y5913nzx+YhgH28vl8qVf8iWHYZDEvwcEAEiapkmhE8eOHRwcHh4d3XXPPdlaZtve2jp54kSpJVs7Wi6Xy+U99953YXd3tV6XUhDTOK5Wy0uXLtkOyfZqtSqlHBwdrof1+QsX7rzr7s3FYj6ft5ZTa0dHy0t7e5KWq9Udd9556uTJne1twXK5vOPOu86dO3fPffelnZk729snj59Yr4eu77F5gNbaMAwROjg4HMfxzrvvXq3X11977cHh4W133HFx9+Ks73e2t48fOyaJfz/Q4f4FLsvMqbXNjY0777prZ2dnd/fS9tbm/sHB6VOnbC+Xq5YtM/f2D06eOF5KWa5W25ubm5ubB4eHh4eHW5ubewcH15w+XUo5f+GCJJtaS4kYp2lne3tq7ey5c1ubm9M09X2/Wq22NjeHcZz1fZRy/sKFxXw+6/uptf2Dg63NzYPDw9OnTjnzaLlsmadPnsxM7lcizp4/33XdOI6LxWKapq5WRWDbjNO4Xq+PHz/eWpvPZrb5dwId7l/gfpIys++6lllKaa2VUqZpAiJCYAAEthWR2VrLUkpEZGZETNNku9YKANgGSa01SbXWbE0RmRmhTEvKTKCWkrZtoJTSWiulTNMERATQWuMBDF2ttiVlpiTbtiUBkiS11gDb/PuBDvcvcL/MjIjMlGRbkm1JgAEbSWBbkm1JAGBbkm1JPB8SthNEBDZgW5JtSZIyE0kgKTMl2ZYEALYlcT9JQGZKsi2Jy2xLkmTbtiQeQJJtSfwbQOUB5rPZ1FrXda21Ukq2hiRJkm3bkjKzltIyAWfWrmvTFKW01kopzgSm1ngORqV0m7Qp2xpJUldrywwp7dZa13WCtFtrs9ksM0NKW1JmllIyU5JtSdM0AbPZLFuLEq1lay0iuq5rrbXWulolGWxLwkbKzFLKNE22+dcCHe5f4DJJt95225nTpy9evHj82LELu7vHjx2zPQzD1FpIQETMZ7Oz588fP3asROn67s677jp96tTe/v6J48f3Dw4W87ntkydO8GxW1LbeX97xx93xh85OPRxP62G86+67j+3sLFerWd+fO3/+9KlTto+WS2DW933fHx4dbW5sjNO0ubFx8eLu1tbm0XI5n83Gcbz+uuts33b77cePH9+9dOnk8RPHjm3vHxzeeffdx48dO3fu/DVnTo/jGFFKiWEcSxRgY2Nx4cKFa6+5Zjab2eZfBcqnfeonAZKmafqHxz/h4PDw3IULFy5eLBHTNN162+133n33U5/+9MOjo82Nzb/9h3+4uHtpNutns9kf/umfnjh27OKlSyeOH7/33vumabrzrrvvuOuupzztaY999KNtc5kz63zrCb/89U/4xa/dvfPJ177EG/Szxblz5/7m7/4uMx//xCeN0zTrZ/edPdta3nPvvadOnvzzv/qr1Xp94eLFrc3N3/rd37NzsVicO3/+4PAQuPPuex58883jNP3DE55wcHh451133XTD9bPZbJqmu++55+joKJ33nT37949/vMTR0bK1JvEHf/LHks6eP7+zvb29tdUyJfGigwoAtkspW1ub115zzbnz508cP35wcLCYz2utj3r4IyLiwsULUeJRj3jEelhff911th/yoAd1fX/zTTfVUhTa2to6Olo+6Oab7z17X2byLBI5za97iQu+ZfPMy3ezRbap7/tXfoVXmM1mi/l8NpuN43TjDTecOXUqM4HHPupR89nswu7uYj5/scc8emd7e5ymYzs7y9Vqe2vr4PCwZZZStje3Tp06GRFp2+667qYbbhjGcffSpQc/6EE333jjpb29+Xw+TS0iXvwxj5nP533XA0j8a4EO9y9wv4iQZFtSZkqSBNgWTK11tSK11oCu1qk1IDMlSRIgRcQ4jjyQ3c0Xw3rd9X0bBzulkGS7ltIyMzMibEtqrfVd1zJt2+66LjMzU1JmAqWU1hoQEZIyMzMlAREBZGZECJBs27bd1Zp2ZkrKTP61QIf7F7ifAZvLJAG2uUIS2AYkAbYl8QC2uUwSz8lOKWxL4gFsS+I52QYkAbYBSdzPtiQAsC2J58c2IInLbAOS+LcBHe5f4Kp/EQRXvSgguOpFAcFVLwoIrnpRQHDViwKCq14UEFz1ooDgqhcFBFe9KCC46kUBwVUvCqi2ueqFkgTUUgpXvVCZCdTVasVVL1Tf94Be4mVegqueH4lpasd2dn7yR3745MmT9RnPeAZXPT+SxnE8ceJEy5RUZ7MZVz0/kkops9lMYLva5qoXINPOBATBVS8KCK56UUBw1YsCgqteFBBc9aKA4KoXBQRXvSggeE6SIkIS/27imcQzif+1IHiAiGitHRwcZGZE8O8zgSFgsBOAwTb/O0Fwv4g4OjpaLBav+AovX0o5OjqqtZZSQiql1FojQlIpBYiIiIiIUkqtNSKAUkqtNSIAw3ZoJh3Z19SykATX1VqF+V8IKgBExNHR0cu81Et9w9d+7XK53NhYvM8HfOBf/OVfRWhjY2MYhvV6vVgsNjY2Lu3tHdvZOTo6sm17GIaptc2Njc3NzYsXL47TtLmxsbmxsTdNX3XNme+4tH+6xAcf33m7O+99152tjzp57Bsv7n3r7t7xiMb/KlA2tjaAUsqFixe/4ku++MlPecpbvdXb33jTDTvbOw996EPe9Z3f6eDw8HVe6zU//VM+ebVa33f27Hu927v9yZ/+6eu+zms/7GEPe7HHPOaN3+gNP/QDP3D30u4TnvDE93/f9/3gD3j/s2fP3faMZ6ifvcXWYifibbc3P/vcxaeP00eePPbHy/Vj+v5XDpdF4n88SZm5mM/f973fa3NjIwDAdillsVj88Z/86bu9x7t0Xfe4Jzzh8z7rs44dO/Z6r/M6H/wBH/DLv/prn/lpn/pWb/Hm7/Ue7z4Mw+u9zuu8/uu+zge83/u+/Mu+7N/+/d9/wed8zod+0Ad95Id96Gq5+oHv+e4bb7xhHIal+aRTx39g7+APjpYvNutORvzApYNTJW6udbDF/yoQACDI1mzfeMMNf/N3f/cu7/iOb/UWb/HUpz3tsz73844d2/mt3/mdb/uW73jik570Ui/xkhcuXByXY2vt8PDo4ODgW7/jO770i7/i8PDwzd/0Tc9fuPDEJz3pD//ojzY2NltmJ33X7v4772zd0HXXlPLIvvv008cf3ncP77u1HfyvAgEAtmfz+ff9wA9+8Ae8/3u9+7sdHS3X6/VivnjQLbf8zM/9/Fu++Zv/0A997yMf8Yhv/NZv7Wf9933fd77Fm71ZZmutfeanfurP/sxPrFbrL/vKr5z1/Uu91EteuHDx6U9/ej/rj4d+av/wlw6Ovu7aU2+zvfnTB0cfee/5nz04er3NxWT+lwGdvu40l0k6Ojp6uZd92cc8+tF/9/d/t79/sLW1deddd509e/alXvIlX+HlX/43fuu3nvLUpz7soQ99mZd6qVtvvfXchfPf/s3f/BM/+VMXLl78oz/5k2fcdtsrvvzLv/zLvexv/vZv33HHnSrl4V093/Le1l5xPqvSE4bhnqndWOs1tTxpGAv/00kax+nE8WO//1u/eeb0aZ2+7jT3i4jDw8P1ej2fz0sprbW+72utR0dHR0dH29vb8/l8tVodLZfz2Wwcxy/6/M//gR/6oT//k784ec3JrusODw+Pjpbb21t939te21Xq4CBtWIQ6GGC0F5L5n07SOE4njh/7/d/6zTOnT+v0dad5gIiQZNu2pMwEIkJSZtqWJInLDg4P57NZ3/etNdsRISkzbQMBBkMAYDAIBMn/ApLGcTpx/Njv/9Zvnjl9uvKcMpP72eayzOR+tm1z2dbmpu1pmrgsM3mA5JmSZzOY/4Wg8u+Qmfw/AcFVLwoI/iWSeNFI4gWTxPOQxP8KEDyAbdu2Q8pMIDNba5IkSZIESJIESLKdmYCk1pokSZIk2ZYESAKmabItSZIkSZJaa5IkSZJkW5IkSZIkSeJ+mSlJEiBJkiRJkgDbkmxnpiRJgCRJtgFJkiRJAiTZBiRJkiSJFwQq94uIWus0TSEdLZc7OztHR0cbGxslYvfSJUmSgIhorWVmqbWN49bWlqRhGFar1fHjx/f29iIiMyVtbmzsHx52tU7TVGs9dfLk4dHR4eFhREjKTEVsb23t7+9LAjJzsVisVqvMLKUAtoGIACRtbGxcurRXa5FkOzMlSWqtzefzrtaDw8ONjUWt3cHBAVBKGYYhImaz2TAMmSkpM4FSSmttc3NjHKdpmjINBmqtknheUAHAdkgv/3IvO03TNE2Hh4dbm1vL1er66649f+FCrXX34u7G5sbh4dFtt932Ei/+4sM43n3PPcd2dm64/jqbaZruuffeBz/oQXfdfXdmZubm5uY4jltbW0960pMy8+Vf7mWPjpZ33Hnniz/2sbuXLp04fnxqbRrH06dP33HnHcePHd+9dGlnZ2d7a+vi7sX5bH7HnXfWrp48cQJ08eLF2++44xVe7uX6vl+v17ffecd6PTzsoQ85PDyKiIjY39+/9ppr5vPZ3/zd3994w/XXX3/9uXPnlsvV45/whJd9mZfZ3t6axulP/uzPXvEVXv7cufPXXnPNweFhLeXc+fNnzpwZx3G1Ws3ns1or6N777rvrrru6rrPNA0HlWaRsuV6tr7nmmr7rNzY2NjY2WmtnTp85d/7ctdde23XdfDa/cOHCyZMnSynb21unT53KlkfLJfBij30McPNNN91+xx2nT5+az2bT1I4d27l48eJqtdre2n7yU56qiBd/sRd7+q23zuezzNzdvXTixPH1er25uXH9ddfNZrM777rrwQ968DgOfd/v7Ozcceeds7570C23XNy9uLm12dV60403nj13bjFfnDp56tixY/fec+/O9vZ1116zWq36fvYSL/5ii/lib39v1s+uu/bapz/96Q9/6EP39vfu2z8bEdecueb6a6+LiL39vcc9/gkv/7Ive+999117zTVPfdpTH/bQh+3v75VSu1pvv/32rut4LqDT153mMkm11nEcNzY2tjY3L1y8uLm5OZv1+/sHmZmZr/yKr3jhwoU//6u/euyjH11KuXDhwmq9nvX9ehh2trfPnT+/vb19dHR0bGfn8PBwvlhcunTp+LFjB4eH6/X6huuvv+/s2VrrfD5fLBYv8WKP/cM//pOjo6Otra3ZbPYyL/VSf/03f7Nar6dxrF03TVOJ6Pv+4u7uxsailHL+/IUbbrjh4OCg77vd3UvXXXvtsWPHnvq0p7XWTp8+ffHixZMnTx7s729ubh4eHdmezWaCs+fOnThxorUW0sHh4cmTJ4+Ojuaz2XK5XA/DYrEYhmE+m80Xi6OjoxIRES1zb28vIgBJ4zidOH7s93/rN8+cPq3T153mASS1li1bSJm2s+s6Lqu1TtMUEeM4llJaaxGltSkiMrPrutaapGmaaq2ZrrVM01RKiYj1el1KkZSZtVbbtiW11kopwzBK1FolZSYAsrPWmpm2a62r9bqr1TZSLWUcx1JKRIzjWEpprXFZRAC2gVpra43LIqK1FhGZqQiB7YjIzMyMCMA2UErhMknjOJ04fuz3f+s3z5w+HTzANE3DMGS2WsrW5ub29tbx48enacrM1tpyuczMaZqA1hpg58bGRtd1tdZxmiRFxObmpm2JaZok2R7HcTab7ezs1FqBEjGfzaZpioha6+bGxou/2GM2NzenaWqtAbVWRK11mqbMtD1N0872lu1SysZiMQyDpNbaMAwRIUnSsZ0dRWSmpIhQxDRNmWk7M1trtltrtkPq+972OI5ARNi2HRG1Vp4vqNwvM1/+5V7OTim6rm4sNu69795rr7n2/IULwMZicXB4eGxnZxzHS3t7x48fWy1XtaunTp763d/7vRtvuOG6a699+q23njl9+vrrr7vr7rtttrY257P5HXfeub21derUqeVyuVytlsvl9tZWqWUcpzvvvPPpt976yEc8YrGYv/iLvViJODg83NzY+Ju/+7sbrr9+c3MzIjY2Nto0dX0362f33HvvsZ2dYRg2NjbOX7hw6tTJvUt7Xd//zd/+7WMe/aibb7r50qVLR0dHT3jSk178xR574cLFEyeOT+O0tbW1t7+3s7Nz8eLFUydPXbh4UdJ11167e2l3PpvfceedpZTTp061zIOD/Sc9+Sld19nmuUAFANu11ltuvmm5XN5739kSZbVe3XjDjRuLRWvt0t7ejTfccN+5s+vVurX2yEc8HDh3/vxyuczMlnnLzTdff/11tauL+WIYhhPHT8xms9VqdbQ8uunGG6695tr9g/3Do8Pt7a3rr7tuPpudPX/u2M6xvuvuve++1lqJ0vf9jTfccOttz7jh+utvve0ZJ0+cGKfplptvLiXuvfc+YGrtwQ960M7OzoULF86dP/fwhz50Np+3qV133bVPfspTThw/AX7Igx986223bW5ubm5sDsO4s72zsbG46+57brj+hnvuvffRj3xUOheL+Z133b2/v3/LzTev10NEnDhx/K677gY/5MEPeeKTnszzBTp93Wkuy8ydnR1gtVpFxMZicbRcbiwWq/V6vV4fO7azXK5sA8DGYnF4dATM5/PlcrmxseFMRUTEer3eWCzW6/V6vVZEKWVjY7E8WtZaW7ZS6jRNkiIiIo6OjoDrrr329jvu2NneHsZxY7G4tLcXEcePHdvf3+9ns6Ojo4iY9X3f98M4juOYrRk2NzZWq9Xm1ubZs+eOHztWalmvh5AuXrp0/XXXHR0eLhaLw8PDlllLmVqTtJjPl6vVsWPHDg4Oulpba8B8sdjd3Z3P57WWixd3I4LLJI3jdOL4sd//rd88c/q0Tl93mvsNwxARtVbbaYeUmYYSMY5j13VcZtt2RLRM7FprZgK2MzMibNuutQK2MzMiDALbkgDbQCnF9jiOfd9nJsjOUort1lopJW1Ba62UkpkRIQmw3VpGqLU2n8/HcQTSDqnrumEYIiIzSym2bZdSbGdmKWUYxxIhicsys5SSmUAphftJGsfpxPFjv/9bv3nm9OngAa699tqNjY1pmjLTma2lpM2NjVLKyRMnpqm11jKzlCIJOHH8+GKxGMcxM4GI2NnZ2djYKKWcPHkyM21LighAYDsibAO1VtvTNEVE3/ettbQlgMy0HRG2sbuuu/aaayRFhO3WWssspWxsLDYWi2M7O6vVupQCHD92rNY6jqMk2xExTdN8Pp/P5+thsB0Rwzgu5vP5fG4bsI0kqdZaa+UFgQoAtmutL/bYx+zt7TtzPaxPHD+xWq9rLcd2dn7/D/7w0Y9+VIlycHi4sVj8xV/91UMe/OCdne3FYjHrZ0dHR+thWMznf/nXf338+LFHPOzhf/BHf/Swhz6klHL33ffs7+8/6pGPPHf+/IkTJy5evLher2+84YZhGA4ODxbzxcbmxh/84R9tbW29/Mu+7Nlz5/q+DwnR1W5ra/POu+5ezOebm5uZecsttxwc7G9v7wASi/n80qW9u+6++8EPelAp5a/+5m8edMstj3rkI+69975xGheLxTCMs9lsf3/vxIkTw3ro+/6OO++8uLv7ki/x4psbG49/whPX6/WNN96wXg/b21t/+md/zgsHlfvZFiwW853tnVoLcN99Z1trwzBOrfVdf/111z3jttuuu+7aYzs7kh76kIfcc8+94zjecvPNt99553XXXnv8+LFjO8duvOGGrqullIc8+MGt5aW9SzfdeON8Ps/MnVtuqbXuHxzUWkupN954o50nT5yIiKPl8pozpzO9tbX1jNtuK1H2Dw7OnD593bXXDsNw/sKFrc3Na86c6bpuvVrdc++9G4uN5WrVMk+cOHH69KknPfnJx48dy/SxY8fA6/VQ5gXY2tq69pprd3cvXnPmmnvuu/f4sWM3XH/93ffcsx6GWuvNN92UmavVWhIvHOj0dae533w+B2az2XK5nM9mR0dHSPP5bLVa297YWAzDuFgs9vb2uq5bLBaHh4dd15VShmFYLBZ7e3uz2Ww2m+3u7s5ms82NjYPDw2madra3V+v1fD47Olpub23tXrpUS9na3t7f399YLDa3Nu+8867ZbDaO4/Hjx5fL5TAMJQJA2tzcXK9X09T6vnemAViv16WUruuWy+XGYtF13YWLFzc2Nhbz+XK1ms36vb39rlZDm6aNzY31euj7fhiG9Xp9/Nix1XoVinGaNjc3V6tV13V7e3sRwXOSNI7TiePHfv+3fvPM6dM6fd1p7mcbsC3JdkQAtiUB09RKicystaadrZVSWmuSJGVmKcV2ZpZSbGdmRETENE2KaK11tU7TVEpprRkEpRQgIsZxrLWu12vbGxsbrbXMrLWO0xSSpMyUZBsopQCZGRGZabuU0loiQsrMWmtmAhExjmMpBbAtybYk2xExTVOttWWWCJ6HpHGcThw/9vu/9ZtnTp8OHmCapmmaWmvTNNlumeM4juM0tTaO42zWt9ZsD8MwjaPtYRjm83lmZmZmjuM4jiOX2badmev1WhL2YjYbhqHWKunYsWN9121vby2Xy/V6vV6vTxw/PgzDmTNnHnTLLZcuXQI2Nzf39vdLRETYVoSk2Ww2m80ycxzHiGitGTLTdtfVaZoyMyLW6zWQmev1erFY2B6Gseu6vu9ba601SdM0zWaz9XotXgRQeYBHP+pRQGZmpu29vb3jx49vbmzcd/bsxsbGtddcc3h0dOnSpb7vweM4bW5uLpfL+Xx27tz5kydPrtfr+Wy2s7Nz39n7zp07f/311+0fHJ46ceKue+6Zz2bXX3/9wcHBXXffdffd97zlm78Z6NTJk0944hNbaxsbGwr96q//xtu+1Vu99Eu/1G/+1m+P4zBO08H+wZOe8pTd3d2NjQ3g4PDwlptvuri7u1qubrnl5qc85alnzpzO9PbW1nw+t52Ze3t7R0dHN954w1133d33/bFjx06eOHHHnXdubW1tbm5ElL29vcPDw7vuvvvlX+7lJB0eHNx79r4LFy7WWm3zgkAFgEwvFvNTp06eOnkqs01TWy6Xs4c+tLV2tDx6+Zd7uaffemvLtrO9fd211+xeurS5sTGbzS9dunT9dddJesiDHry5tbm3t3/h4sVrrrnmjrvu3N7efvEXe7HMBI4fP76xsbFarW668YZS4uLF3b/8q7/+4s///J/5+Z9/scc+9vSpUy/90i/1u7/3e5cu7d14ww1//ud/cfNNNx0cHszn89d5zdf82E/8pFMnT1577bUSt99xZyn11MlTXa2v9Iqv8OSnPPURD3t4KWVra6vvu3Ec5/P52bPnbJ88ceIJT3zSox/1qGvOnDl54sSpU6c2Nhbnz5+PKI951KP+4XGPWw/DyRMnNjc2tre3/uhP/vTs2XO1Vl4I0OnrTgOGGjGbz+azea0ViIibbrrp8U94AnbX98eP7VzcvdRaq7UOw3DtNdecPXcW1HfdbD5rrdVSV6vVcrXa3NgYp3G1Wl137XWHR0chpXN7a/v8+fM7OzvTNF3c3V0uly/3si/79Ftv7Wq99tpr+6677+zZJzzxiS/+Yi/2lKc97ZrTpyPi1KlTmXnu/Pl77703IgDbp06duv7aa/cPDmaz2VOf9rTjx45JOnbs2DiOy9Vqc2Nj/+DgmjNnzl+4cOHCha2trcw8ferU7u7usWPHDg4PQJsbG/sHB5cuXXr4wx52aW9vPpudPXdutVpJ4jlJGsfpxPFjv/9bv3nm9Gmdvu40l9kGMtM2UGvtum69XkvKzMwspXCZpGmaSq2CtLGBzJQkyRASMLUWEhJ2ZtZaM1NSKUVwuFzOZ7PMbK1lZq11sVgsl8v5bDZME/Y0TZk5m81qrdxvuVxmZt/3mTmb9dPUDM4EIiJtoE1TRNRaM1NSay0iMjMigMyMUkrEehhKhO1aqySeh6RxnE4cP/b7v/WbZ06frtxP0jiOXddFxDiO0zQNw6AIoJYCTNPU931rrbUmKVvjfrbn87ntiBjH0fZsNotxtG3A7rpumibbtoFSyubGRmtNUkTMZjPby+WylLJcrSJCUtd18/n8aLkchiEzSynADddfv1qvL168WEpZr4eIIpF2RGSm7fl8nrXO5/NxHCWN41hrsXkutuezGZfZ5l8ElfvZfvjDHtZ33U033fi3f/f3J06cODw8PH782Gq1Pn/+/NbW1qlTpx73+MfffNNNi/l8GMdai800TfP57Gi53N7aXq/XJ44fL7VcvLh7/NixP/3zP9/Y2JAk6eDw8KYbb9zZ2Vkul1ubm33f/90//MPJEyf6vr/uumuf9KQnRynXXnPNweHB8WPHp2mapvHg8OjM6VPr9froaHnixIl7770X6eEPe9jupUvXXXstIOnCxYvY119/3d7efq01M++59943ev3X//O//Mvjx48dP3781379N7a2tmzzPGzzooMKAJk5n89vvumms+fOHS2Xj3zkI6679lqnz547d+zYzvnzF2644fq+659+6603XH/95uYm+NKlvcXG4vixY7u7lzY2Frc+4xkv9ZIvsV6vL+7uPvxhDyulzOfz66+7bjabRcSTn/KUF3vsY2az2eHh4WK+eMZtt83n8xd/sccu5ov9g4NrrjlzcHj0Yo99TJta7erd99xz/vz5V3y5l9u9dKnWevc997zCy73cH//pn17a25um6Ybrr1uvh3Eatza3brrxRmA+nx8cHNxy803PuO32+86e3dra3NzcuPaaazc3N2688cbd3V3+/UCnrzvNZa21G264vkS5cPHifDY7ceLE+Qvnb7n5lnEcDg+Pjo6ONjY2nnHbbS/3si+7t7d3191311J2dnZOnjwxDuNtd9wBLObzvu8Pj442NhZCd99zT2vNNiDp9KlTfd+3zK7WYRguXLx4yy03r9fD/t5e2pl57TXXHBwezmazS7u74zQd29k5ODw8ferUar3uat0/ONjb23vkIx6xf3Cwu7u7tbk5m83W6/X29vb111335Kc+VdAy9/b2ainHjx8/Wi7HYTh27Nh9Z8/a5l9P0jhOJ44f+/3f+s0zp0/r9HWnud84TdilFNuttYgAaq3r9brWmpld1wHjOJZSgGma+r4fxzEiJGUmICltQa1VEvebpsk2YDsiSinDMEgqpQCSxnGKkKFESGqtRURrTZLtUkpErIehRERE2s6UZLvWOrUmkBQRQGtNkqTMrLXybyJpHKcTx4/9/m/95pnTpysP0HcdYFtSrZXLbM/ncwCwDfR9z2WlFNt93wO2Syk8gG3b3K/WygPYns1mXGYbmM16rrANXdfZLqVwP9vz2QywXSTuZ7vvOi6zLSkiANulFNv8+0HlfgJsA2CbB7DNA9jmAWxzmW1eMNs8J9s8gG0ewDZgmwewzWW2eQDb3M8297PNfwgIABA0WNvi2SRJ4oWSJAmQxL+JJF4EkvhvBBUARnOqxPW1/O16mEkGSUfLZd91fd/b5n4CAyBpmqbMzMyIaK11XScpJAOQmUBEAAJDZkYE95PUWmutdV1nm8taa6UUABtJ0DIjYhzHrlakzIwI7icpM22XUmwLDIBt7hcRtrnMtiQgMyOC+2UmLwRUQDDhEyVeZj7789V6ITUYx/GlXuIl7rr77rvuvrvrOmeWUiSN0xQS0Fo7fvx4SFtbW8vVamOxOHf+/DiO62GICMHGxkZmLlcrwTCOIW1sbBweHWEbgNbazvb25ubmfWfPdrUCtjc3Nw8ODmx3XWd7nKaNxeLo6Oiaa86cP39ham1jsTg4OCiltNYiYpym2WzWd92lS5dKKZmpiFqKpChFME3TMAy1dpktIkop4zhKWiwW+/v7EWEbaXNjwzYvCFQAECSsbKEoZW9v7w1e//Ve5ZVe6clPeep6vbYN3HvvvS3zYQ996MHBwdHR0fHjx3739//gCz/3c3/393/v7/7+Hz7r0z/tXd7jPR/5iEe89Eu91L333tv3/cu97Mv+0I/+6PFjx2opj3jEIw4PD3/253/+Ld/8zfYu7Z0+faq11lqePHlyWK8v7u72fb+3t3fttdfefNNNf/8P/7CxsfGM254x62cPe9jDfu3Xf/3FX/zFXuNVX+0v/uqvpmn6rd/5nXd8+7d/+q23PuiWm89fuHD9dddvbCzm8/ltt92+HtbXnrnm7Llz5y+cH4fx3vvus33DDTe8zEu91N/+/d8/+EEPuvfee/f292+84YYo8Wu//hvv+e7vdvbsuSjh9K/9xm/MZjPbPF9QeYAAMJD2xmIBvNzLvsy5c+dLiWuvvXYYhlrrzvb2+fMXrrvu2vMXLvzpn/351tbmbDZ79Vd91Yh42Zd5mYc/7KFv/IZv+Dd/+3cPfchDzl84n6290Ru8/k033XSwf3Bpb+9v/vZv3+JN37Tv+1uf8YwH3fKgP/+Lv3jUIx85DMPR8mhne2c267uue8pTn/pO7/D2Z8+de+mXeqkzp0/fe999P7G//0av/wbAO7zd2z75KU992tOf/vIv+7Lb21sv8eIvHhH33nvvzs6x9Xr9ii//Cvfce8/+3v5jH/uYjcXGU5761J/6mZ+JiEc98pEPeciDX/zFXmwYh1k/G4b1aj3cdOMNj3/8Ex76kIc+7KEPe7HHPOZv/u5vf+03foMXAnT6utOClf2IvnuF+ex7L+3vlGjG9qu88ivfcccdu7u7W9vbmxsbB4eH15w+/Uqv9Iq/9/t/cPbcuWM7O7ffccfmxsb29vbGxuKOO+/a2d7evXTplptvPn/hwqmTJ1er1fkLF44fO3b61Kk7775bYn//4GEPfeilS5fe6R3e/q677/nRH//xG264flgPr/var33NNWd+8Zd/Zb1e257NZnv7e5sbm5sbG3ffe+9dd931mEc/uu/7vb29WutTnvrUl3vZl733vntPnTx58eLuMI5d181ns1rrcrlcr9eGm2644dz587uXLtVasWezWZRy6uTJu+6++yEPfvBdd9916uSppz7taTs7O9M0HT92bD2sb7vt9q7rbHM/SeM4nTh+7Pd/6zfPnD6t09edFqzsR/TdK8xn33tpfzsiQdLh0VHfdaWUzGyZJWK5Wm0sFq21iMjMvu8zc5wmASBFrWUYhlrrehhKRN/30zRN09R13TiOfd+P41hK2dnZOTg4kNQybR/b2VmtVvsHB7PZbByGiOi6rrWWmaWU+Xx+dHQ0tdbVKmk2mx0dHZVSpmnqug4AMhOICEnAMAy11lqrbduZqYhxHPuuWw9D33Xr9brruoiQNI6j7Y2NjczkASSN43Ti+LHf/63fPHP6dPD8SBqGodY6TtNyuRyGIVtbrdfXnjlTax3HcRzHaZoOj46GYZj1/TAMZ86csfPw8DAz1+v11uZm3/eHh4etNcMwDNdee03Xda211tqFCxeGYViv19M4TuN49uzZw8PD7a2t9Wp1/fXXd123XK1aa7ZrrbuXLgHHjx2rtQ7DcHBw0DJtuq4bx7G1No5ja20cx2EYh2FYLpfANE1HR0fL5TIzSynr1apEjOMomKbp2LGda86cmaZptV5vbGzccP316/VaEi8IVJ5HRByuVi/9ki+5vb11/NjxxWK+XK6OHTv2pCc/+c3e5I0f9/jHHx0tx3E8c+b03XffM5/Pf+u3f/vd3/VdS4mjo2Vm67re9o/82I9dc+bMe7/HezzuCY+/+cab/u4f/v7aa6+96YYbL1y8uLe/t79/cPLkia3NrcPDw+uuu+622247efLEL/3Kr7zrO7/TfL64ePFirRXo++6nf/bn3vkd3mFra/PUqVPf8Z3f9X7v/d5//w//8KAH3fKXf/3X0zi91Eu+xG23337TDTceHh3dfPPN586dG4bhxhtuuOfee5fL5ebmpu277r77Gbfd9t7v8R5/+dd/feMNNyyXyzNnzjzi4Q9//OMf3zKPjo5+5dd+7V3e6Z1+5dd+7R8e97j5fG6b5wWV5ydbK6W893u+59OffutDHvyg2++4c7VavvzLvex6vX75l325li0i7rvv7GMe/eid7Z0nPfnJN1x/3aW9vTd7kze5++57Lly8EBEPfehDF/P5DTfccN11177US77kMA733Xf25V/u5fb29vpZ36bW9d16ta5dve+++x78oFtuvunmv/37v7/5ppsv7l58+7d9m4sXL549d972Qx/ykLd+y7d8ylOfcvbsuRtuuOH666+76aYbH/voR58/f35399Lbvc3bPPGJT9rY2ABf2tu75eab5vP5pUt7119/3UMe/JDbb7+967qLuxd/+Vd/7dVe9VWuvfaaW26+ue/7n/m5n7t06dKjHvXIxzz60X/9N3/zV3/zN6/+qq968eLFv/jLv9zY2Git8bxAp687LVjZj+i7V5jPvvfS/nZEgqSbbrzxvrNnb77ppvPnzwOz2ezUqVP33nvvqVOn7rn33hIxn883NjZuu/32zY2NdG5ubpVS9i5dms3nL/NSL/Xbv/u729tb4zieOnnq3PnzrbWtzc1jx47dc889D3rQg+68665rzpy5+557SkTX98d2tm99xm2bm5uZubFY9H2/e+lS33Xnzp+/5eabDw4O5ov57u6l+XzepunUqVP33HNPZt58880Xd3dPHD9+73331VojVEod1mukWd9LAlprOzs7r/SKr/AzP/dzN95w4+HR4b333nfNmTNAZrbMc+fOvdhjHnP7HXecO3++1mqbyySN43Ti+LHf/63fPHP6tE5fd1qwsh/Rd68wn33vpf3tiARgmqZa63oYulqBzJymqe/7cZq6WoGptWmaNjc2pmmKiNYaEBE2EZLUWpO0Xq9LKV3XZ7bWWq11tVr1fT+OY9d1gO3W2mw2a61Jai3tLKXY7rpuvV6XUjKz1tpakzRNU9/3wHoYailTa12ttgGbCAGZCSA5c7FYLFcrQWZK6rpumiYuk1RrXS6Xfd93XWeb+0kax+nE8WO//1u/eeb06coLkJnjOE6tdbWuh6FEAF3XrddrScMwZOZisdjZ3r548WKtdRhHIWOgRKRjHIYopZZy/Pjxrc3Nu+6+27btzNze3s7Mvu9tc5mkzOy6DqgVSbYB24vFwjZgu5QC9H1vG9jc2LA9k2zzgmXmfDYDJGHbLrMZ97O9tbVl2zYvCFSeh6RpHK+/7rrXf73XfcZttx8cHJw5c7qr3cWLF1fr1cMe+tBS6u233/6QBz/4V37t1z7oA97/CU984oULF48fP354eHDmzDV33nXnbDY7d+7cTTfeeGlvb3tr66Ve8qX+4XGPG8dxHMcTJ05cunTpJ376p7e3tjKT+9kGbAOAbe6XmdzPNmAbAGwDtvmX2AZsc4XNA2QmLxxUHiABiIj1MDzmMY9+67d4iyc86UmYra3Nv/yrv37kIx5+4403rleru++59zVe7VVt/+pv/Pp6vX7YQx9ayjPe5q3e6olPetL5Cxce/KBbzpw+fe78+Uc+4hG3PuMZf/XXfzMM60c98pEbG4v5fL67e+no6OilXuIlnvq0p/G/COj0dacFS/vRffcqi/m37e4dK2WYptOnTp06derCxYvXnDlzzz33XHPNNefOnbv22mvvve++aZq6Wre2tp76tKc9+EEPGqdpWK9Pnz594eLFcRzn8/nGYmF7HEdJEdFam1rrao2Ii7u7fd/PZ7O77r6b/9kkjeN04vix3/+t3zxz+rROX3caaHA84tpaHr8eeglpHMdpmkqt0zh2XTeOY9d14zjWrhMYsrX5fL5eryVJmqaplCLJdmYCkgDbkiTZtl1rtZ1233X8zyZpHKcTx4/9/m/95pnTpysAVLiUeX7dZpIBu+u6vu9tz/redt/3tvu+t81l6vvMnM1mXNb3vW0uE5h/gW3+F4EKAIaAmWSeybZtwDZgG7DN/WwDtrnMNvcz/+dA5QHMVS8ABFe9KCB4AEmAJEAS95MESOJFIwmQBEjiASRJ4l9DEv8akgBJkgBJ3E/8W0HlAaZpkpR2iZhaKxG2gcwspUzTVGsFbNuWZDsieE62x3EspdiOiGmaSim2AUmtNaDWajszJdmWJInnZFtSZtqOCNulFNuZKcm2JEk8p8zMzIjgfrYllVJst0xJtiOCfxWo3C8zTxw/vh6G+Wx2eHR0fHPz6OiolALMZrPlcrm9tXVxd7e11nVdKcWZSOv1WhL3s933/fXXXbe/v19KOVouTxw/fnB42HVdZmbmfD6PiPPnz0fEfD4HJE3TNE2TJO5nezabTdM0m836vl+tVrWUg8PDiJjP54CkaZqmaZLE/TJze2trPp8fHh5GKUBrreu61tre3l7XdYvFwnZI62GwzYsOysbWBmC71vqar/EawKu96qv2XfeQhzxkZ3vnxhtvuPaaMy/1Ei85m80e/OAHP+3pT1+v16/8Sq/00Ic8OKK89Eu+5D887nGz2cw29+tqfbmXfVlJr/karz5N7VGPfOT29vb111135syZG2644ZabbyqlHBwc9H3/hq//+q21F3vMY2qtd919d9d1XCZpvV4/9jGPOTo6esiDH/zIRzzi2LFj115zzcHhYS3lTd/4jY6Ojl76pV4KuOfee7uu4zJJ4zRdf911N1x//UMe/OCXePEXu/GGGx/+sIedOHHi2M7O/sHBfDZ78zd90wsXL77aq7zK7u7u7qVLtVZeMEmZuZjP3/e932tzY6MCgKTMHIah67q77757b39/Y2Nj/2D/hu3rL+7u/vlf/MU0TVubm0BE7O/vY/d9v16v5/N5ZnI/Sav1+mm33rpaLu+5997lcrlcrZbL5eLkyXvvvPPUqVMXzl/IzJZZ4Ny5c6WUcRxrrRHBc2qtPfhBDxqG4fDgIFsrfb9erUqt950913Xder3uuk4SDyCwHaXcceedl/b2MnMcxxMnTqzX62ma1HX33XffYj4/Ojqaz+f8q4BOX3eay2xHhO3MjIhSyjiOXddN05SZpZS+78dxtG1bEtBaq7Xa5jlJsp2ZpZSImKap1jqOo6RSSq11tVpJsl1rnaZJkiSek6RZ36+HQVJmRsQ4jhFhu9Y6TZMkSTyA7a7rImK9XgOSMrPWanuapoiwXWsdx7GUwr9E0jhOJ44f+/3f+s0zp09X7ifJNhARwDRNETFNk6Raq+3VahURgCQuK6XY5nnYBiLC9jRNkqZpigigtTZNU0QAklprEcHzY/touYwI20BrrdZqW1JrLSJ4HpLGcTSEBAAR0VqTVGu1Lam1Vmu1zb8KVB5AEveLCNsRkZm2JZVSbEuyzfMIKW1JgMAgyXZEZKYkSYAkwDYASOJ+knhOtdbMBCRJAiTZlsQDSOJ+kngBJAGSbPOvBZX7SRrHMSIyU9I0TbXW1lrXdRHRWmutlVJaZt91tnkA26th6LpumqaImKaplNJaK6W01vq+lzRNk21Jhq5W2zxAZk7TVGudpqmUkpmSMrPve0njOErislqrbe4nmKaptRYRPIBtSbb7vrc9DEMpJTMjIiL414IKAJLGcbzhhhuWR0fz+by1dsMNN9x1110nTpy448479w8OThw/fmxn59KlS9s7O3feeWet1TaX2a61PvYxj7ntttu2traOjo6uu/66s2fPnT516uzZs9dff/0TnvjEcRzPnD5TuzoMQy3l3vvu67rONpdl5tbW1s033XT33XefPn36/IULx48fXx4dbW1vP/nJT0a6/rrrWqZtZ547f77rOtuApGmaTp86deLEib39/c3NzcPDw1nfA/P5fP/goKv11mc8o+u6W26++eDwcLFY7O/tHR4dRQT/KlA2tjYASdM0vfmbvEmp9Zabb0nn5sbGNE0v9ZIvsb+/D9xy802v/EqvdP7Chdd9rdf6m7/7O0lcJqm1tr219Sqv/Mq33X77G77+60/T9NIv9dKZ+Qov93K33nbbjTdcf+99921vb7/kS7zEzTfdtFgsHv2oR/39P/xD3/e2AUnDMDzollse+YhHHB0dPfYxj9nY2Lj+uus2NzdvvOGGi7u7pZTXeLVXW8zn119//Y033PCEJz1p1ve2gYhYr9ePftSjXu5lXgbY2ty0/bCHPnR/f39jY+OaM2fOnDmzf3DQ1fpmb/ImF3d3X/7lXm6apjvvuqvrOv4lkjJzMZ+/73u/1+bGRtnY2gBsz2Yz2+fPn4+Ie+655+Lu7qVLl/q+v+POO/f29pze29sbhuHCxYv7e3vjOErifrXWe++7b39/fxzHvYP9w8PDu+++++y5cweHh5sbm3ffffdqtRrH8fDw8Gi53N3d3dvbs81lkgwl4o677trb2+v6/s677mrTdOHixXEcb7vttmmaVuv10dHRwcHBpb29vb09HkAS9oWLF3cvXWqtnb9woZRy11137e3vZ+bRcnnHnXfaPjw8XK/Xl/b29vb39w8OSgT/EkmZuZjP3/e932tzY0OnrzvN/YZhiAjbUYoAaK2VUiIiM1trEdFa6/ue52Q7MyNiGMcSYVsKO2utrbVaK9Basw2k3XcdzykzDYLWWkSkHVJm1lolTdME2Aa6ruM5tdYyMyKAiJimqZQCZBpca7U9TVNEtNZKKbVW2/xLJI3jdOL4sd//rd88c/p05QFmsxkPYLuUYhuIiFIKUGu1zXOSVGu1PZ/NuJ+kzOy6zjZQa+V+tnlOESHJdimFB7ANdF3H/WzznGqt3M923/e2gVIE2JbU9z1QawVs868FledkWxL3s839bAuQAEm2eQDbXGZbEjBOU4ngOdmWxAtlm/tJ4n62eRHYlsRzss2/B1QeYJqmiGitAbYjQpIk25Jsp52ZpZRpmrqus80D2M5MSdM0ASeOHz84PByGoes6YJomQJLtWqttntM4jqWUcRxLKZIkGaZpEkiyXWu1zQNIyszWGpfZLqVIGsdRkiTbtVbb/DtB2dja4LK0X+UVX7G19qhHPnJjY+MlX/zFW7aXfsmXXK5WL/7Yx9539mxr7cYbb3zYQx9q+2EPfegdd95Za+V+mbmxWLzES7xEiXiZl3mZiHj0ox99/sKFl3zxF7/7nnskPeyhD73uuuvm8/kN119/1913d13H/Wx3XfdSL/mStl/1lV95GIZHPeIRd99zj+ARD3/4mTNnNjc2rr3mmrvvuafrOu4naRiGxz7mMSdOnHjQgx60vb39Yo95zF1332370Y961Injx7e3t8+cOXPPPfd0Xce/nqTMXMzn7/ve77W5sVG5nzO3trduuunG48eO16578IMf/LSnP33/4ODw8HCxsSE4ceLEmdOnHvqQh9p+scc+9m//7u9sA4Cklrm1tTWfzWpXH3TzzQcHB4ITJ068xIu/+FOf/rRM33DDDRsbi71Le9dcc83f/8M/cD9J0zSdOXPmxR/72FIincM4zmazrusWi8WNN9xQu265XJ44fvxxj388D5CZW1tbx44dA7a3tjY3N2+68catf/iHzLzllpvXq7Xtza3Nxz3+8fz7gU5fd5rLMvPGG288PDzc3Ng4PDqqpRwtl6WUaZpuuvHGW5/xjPV6vb29vZjPuezS3t40TZK4n6Sbb7ppd3e3lNIyj+3sXLp0qev7vb295XJ57Nix2WyGbby7e8k298vMzc3NxWIBnD9/fmOxuP7665/6tKdl5rGdnX42w7a9e+mSbe6Xmdvb26dPn7733ntPnTy5f3Cws719+x13ZOaxY8f6vrPBvri7y7+JpHGcThw/9vu/9ZtnTp/W6etOc79xHCMiMyPCdkQAkoZx7LsuIlprmYnAlFIk8ZyGYSilcFlmRoTtUkpEtNYyEwBqrTynzMxMoNaamdM09X0vqbWWmQBSLYXnlJnTNNVaW2sR0TL7rpM0TZNtAKmWwr+JpHGcThw/9vu/9ZtnTp+uPEDf9zyAbUm2F/N5ZtoupZRSuMw2z2M2m/E8bNsupZRSAMA2zykiSimA7VJKrTUzbZdSSilcZpvnFBGz2cx2KQWoYNt2rZX72ebfDyoPYNs2IEkS0FqTNI5jREjKzMyMCNsRwfPITC6TxGWZKcl2RAC2bUsCJPEAtgHbtiXZth0RPD+2AUmZKck2D2AbsA1I4t8PKveTZLvWatv2NE2llI2NjWxtvlgcHh5mZt/3s9lsuVyWUlarlSQeICK4n21JtheLxTRNpZRxHIGu67pa18MgaJm2eU4RERGZ2XVdKWW5XEriASQBpRTb0zSVUgDbPIAk27VW2601Sfw7QdnY2gBsS3qLN3vTS3v7L/eyL7NcrqZp2tzcfLVXeZVLe3sv/VIvube3/6qv8sqXLl16iRd7sVrrox75yKc9/ekRAQCSWmvb29uv/Iqv2Fp7uZd5GdullK3NzZd/2Zc9eeLES7z4i3ddd+HChZd72Zftuu7666+/8cYbn37rrV3XcZmkYRge8uAHv/IrvuLBwcErvPzLnzt//uVf9mWfcdtt3E9Sa217e/tN3uiNzp0792qv8irnz59/yZd8ybvvvjszJfEAb/Ymb3J4dPjSL/XSwzA89jGP2b10ab1eS+JFJikzF/P5+773e21ubAQPkOmtzc3FfLGzvV1rHcdRkqSnPe3pfd9vb21P03Tb7bfv7e9vbGzUWrmf7VLKwcHBYrGIiI2Nja2trZtvvnk+nwOS/vbv/k7w0Ic8BLAdUkTwPCRJOn7sWN/3p06etN1ak8QDSErnsWPH+r4/c+bM6VOntre2MlMSD2B7a3NrPpudOXPm2muuOX3q1NSaJP5tQKevO81lkoC+78dxlLRer7uu29jYWC6XEWHbdkTYjoha69HRkSSeU63VdmaWUjY3Nw8PD7uuW69WwzguFovFYrFarfquW61WipimyTYPICkiSinDMGxubkbE/v4+z0mSpK7rxnHMTCAiWmuSuJ8koO/7cRyBruvGccxM/jUkjeN04vix3/+t3zxz+nTlfrZtL5dLSUDXdbb39vZKKa01AGitITFN6/U6Inge4zgCSDmO58+fL6UMw6CIruuGYVitVpKWy2VEAJJ4TranaRqnKaS9/X3sUgrPyXZmTtMkSRLQWpPEA9i2vVwuJQHTNClC/DtA5QEkSeIy20Ct1bYkHkiSxPMjiSukrutsSwJsS6q12uaFkiQASoQk2zwPSZK4nySehyRJXCaJfyeovFC2+beyzXOyzb+Gbf6HgOCqFwUEV70oILjqRQGVB7DNVZdJ4oGgcj9Jfd+LqzCM4wggngkq97PdWuOqy2xL4lmg8gDTNHHVZZIAzDNB5QEkcdXzBcFVLwoIrnpRQPCvJ4n/b6DyABFhW5JtSbZtS5IE2LYNjNPU1SqJ+9kGJAG2Jdm2bTsiJNm2LUmAxGW2bfO/AlQeYLlcRkRmApnZ931EjOOYmUghlVIknTxx4ty5c5mJhC0JKKW01gwCQy2llFJKWa/XrWXX1a7rVqsVYBvIzFpr3/e2+Z8PKvfLzFd6xVfc29s7duzYOI5bW1td1x3b2fnbv/u7kydPTtM0TdPLvszLPO1pT3vYwx52++23HxwelghgGMdpmvb29k6cODGfzy9durS9tfUPj3/88ePHX+5lXubP/vzPH/bQhz7u8Y+/7Y47Xu5lXqbve0DSqZMnn37rrU992tP6vrfN/3BQAcB2rfUlXuzFnnHbbY961CPX62EYhrPnzg3D8HIv+7IPfchD7jt79q/+6q8ODg6uveaavu8e/vCHH9vZufvuu//8L//ydV/ntQ8ODmut89ksIqbWVqvVPffeO5vNHv2oR62H9Su83MtP0zSM46Mf9ahxHE+fPtV3/YkTJyLiiU960mw2s83/cKDT150GJE3TdN11143D0HXdar3K9DiOx44dKxHr9brruuVq1Vp70C231FrvuuuuV32VV/nN3/7t8+fPP+iWWw4OD+fz+bXXXGP7qU972vb29p133jmbzba3t7taF4vFpb29Wmubpo3NzXEYgMwcp+nw8FAS/yNJGsfpxPFjv/9bv3nm9Gmdvu40l0kahiEi0g4JiIjWmm1JtiMCaK11XSdpHMeI6LpuvV6XUlprkjKz1pqZfd9nZmZmZmbWWm0DmSkJkCSplGKb/5EkjeN04vix3/+t3zxz+nTlfrZrrbZrBCDJdkQAESEpM236vthurZVSJE3TVGsFaq1ArTUzI2JqLSTbXdfZbi0jAogIHqC1BkiSxP9kUHmABz/oQavVavfSJUmllGma5rMZcLRcrtfr2WxWa52mCdjY2ACOjo5qrc5MG1gsFqvVqu+6Usrh0eE0tYc99KHPuO22WsqZ06f3Dw4ys5Ziu7W22Fis10NmhjSMY8sU/4NBBQDbtdbt7a1a687OjkQpZWNjc5qmYRhs/93f//3p06dOnThpPJ8vLl68uLm50ff90XI5jdPW1qbTF3d3j91yS991h4eHxk+/9RkPfchDLu7ubm5s3HDD9fv7B6VEpiMiM7c2N6c2tZbAXXfdde9993VdZ5v/maACgCTbT33a01er1Xw+X8znm5ub585fWK1WEbFYLE4cPz6O44Xdi+vVupRycXd3c2Ojdt3R0VFI2zvby6PlcrVar9fDMLTMrtZxHJ/wpCe21nYvXRrHcWotWxvHsZTSMjc2FtM4IUXEerWKCNv8jwU6fd1p7peZEZGZtmut0zRJsg2UUoDMzEyglJKZgCQgMyVFRGtNkiTbETG1ViKAzJQESOIy29xPUkTwP4ykcZxOHD/2+7/1m2dOn648QEQAESHJdq2V+9kGSimlFMB2rRWwLSilALa7ruN+tvuusw2UUrjMtiTbkrifbf6Hg8rzYxuwzXOyzf1sc5kBGwBs8wC2AcA297MN2OZ/EQgeQBL3iwgukySJF4EkSfyfBMEDTNNkG5C0XC4zU9IwjsMwAIBtAJDE/SQBETFNU2byfxIEAEhqrV1//fXb29uZOY7jS77ES2xvba1WqwfdfPPDHvrQ1prtUkpm2h7HsWVKysxxHG0fHBycPHlyNpvZzkwgMyUBtltrtm3zvxRUAJA0juNjH/3oCxcvPvYxjzl79uxLveRL/umf//kN118fEVubmweHh7u7u5ubG7uXLh0/dvz8+fPTNF1//fWX9vZOnzr15Cc/+fY77njsYx974/XX/90//MNLvNiLfdf3fu/GxsabvNEb3Xb77Q958INba2fOnPmxH//x8xcudF1nm/9dIADAtiJqrQ+65Za77rpr/+DgF3/5ly9evDjr+1rrM26/bTabPfjBD/qrv/6bpz71afPZrHbd9ddfd/zYsa5WZx4tl7uXLp0/f349DGdOn0Z6yIMffM0117TWIqLWmpkHBwelVv6XAp2+7jT3m/V9yxyGAZAEZObNN910/sKF06dP27711ltrraWUcZq6Wm+4/vo77rzTdkSM4xgRmTmbzVprtdbWWkRkpqRpmiRJksT/EpLGcTpx/Njv/9Zvnjl9uvIAy9VKUkQAkmyXUm67/fZa6zOe8Qzbs9kMsN3VavsZt93WdR1gu+97QJCZETFNU0RkJmC71mobkATYlgTY5n8FqDxAKcU2l03TVGu1Lam1VmuNCKC1lpmAJEnTNAERAbTWuF8pZZomm1pLa812rTUzbQOllHEcgYiICP7ng8r9SimPePjDVqt1rfXo6Gg9rE+dPHnh4i64RLnn3nsf+pCHHB4d3n33PTffdNNyuVwPw8729jRNitje2jw4OJxa62ptmZLOnz9/6uTJiFgsFuM4DuM4n8+cXq1WXdd1XTeOo+3VarV76VJE8D8cVO6XmRGxs7Nje2NjsVqt+7679ppr+r7LzIPDg1rr6VOnL13au+aaa6ZpmqZxa3Nrf3+/6/v1sD5x4oQg7WEYjh8/dnR0dOLEiePHjrXWDg4P7Ty2c+zw6KiUcv111x0cHMzms9VqNQzjhYsXSym2+Z8MKvez/cQnPRkAQpIkyQBIGsfxKU99atd1h4eHtz7jGdnacrWyLVCEbdullGEYJN1z773L5fLw6OjS3t6FCxeAzOy6rrUGnD13bhiGUgogqZRim//hoPIA0zRxPwO2JNtARLTWhmGIiPPnz0sCJAG2JQHDMCiCzKOjo4i48847AUmApPV6zWXjOEpqrXGZJP7ng8oDSOJ+AiRAEpdJkgTUWm1zP0lcJglAkgREhCTbXCaJyyTxvw5U/vVs86Kxzf8NUHkASTwn25J40dgGJHE/24AkHsA2/+tA5X6SxnGU1FoDJEVEKWUcx7RLhO3MjIiWWUvJzFIKME1TrbW1VmuNiGmaANuSaq221+t1KSUzJdnuuo7/daACgKRpms6cPn20XN50441bW1u33nrrYmNjZ3v7nnvv6fvZox7xiP2Dg7vuumuapu3t7UuXLnV9f3BwUCKOHz9+cXd3Y2Njf3//4PDwJV/8xe+99960s7ULFy92XfegW27Z29+fz2ZTa33X3Xf2rCT+d4EKALZtv8Wbv/nmxsbUpo3FRvd6r/fXf/M3Xdc99jGPufHGGw8PDxfzObAehnvvvbeUcsMN158/fwE4dfLk3v7+Dddf/5u/9Vu7ly697Mu8zHw+Pzg42Nzc/JZv+7ZHPPzhr/DyL3/23NmHPuShgr7vv/FbvmUcR0n8LwKV+9Van/q0py6Xq77vp2kah2Fq7Ybrr3/Sk5/8pCc/+cUe+9jf+/3ff+VXeqULFy784i//8k033nj3PTes1+uNjQ1Jf/XXf33q5MknP/WpFy9elLSxsbGzs7O3t/fgBz/40t6lpzzlKecvXDjYP7i0t9f3vW3+1wGdvu4091uv1zxARLTMUkq2dvz48aOjo53t7b39fSAzp2kylFIW8/nB4aGkrtZSyjAMmWkIqZRiyNYUka1Jst33vST+x5M0jtOJ48d+/7d+88zp05UHmM1mEZGZkmwDHUii6w4ODiLi4u5urdV2KaWUAkhaD8NiPrctaRzHrusASbZtS6KUzCyllAhJmcn/OhAAYDsitre2Wmvb29ullK7rImJ7a0sS0Hfd5ubmfD4HZn1fSlnM55sbG1Nrx3Z2+q4rpbTWbr7ppr7rFotFKSUiFotFrfXYsWPXXXvtzTfdGBGtNf43gsr9aq3Hjx+fzecPfciDL1y4UEpdLOat5d/+3d8dO3bsphtuaNmO7Rx7/BOfeOb06cVisV6vJd0obW1ujtPUd93f/v3fP+QhD0aapqm1tr21tb29feutt9ZSNjc35/PZwcHBhQsXa622+d8FKgBIGoZhahPw9Fufsbm50ff92bPnptZOnDixt7d37vz51Xp9cHi4Wq2Ac+fO7R8cdLXWWi9evAjUWltrz3jGbW2ajg4Pd47tHBwerlar1Xq9vb29e+lSOSjDepBkm/91QKevO839WmuSMnNjscjM5WoVpXS1ttYyU1JmllJKKeM4SgJsc79SyjRNkiIiMyXZjojMlASAIsT/EpLGcTpx/Njv/9Zvnjl9uvIAtVbbpZT1MAB93wOZKanWCpRSbGdmrdW2BIj72e66DrBda+Uy27VWbCTb/C8FlQewDdiWBNjmfrZ5ANuADZgHsM1ltrmfbQCb/70guOpFAcFVLwoIrnpRQHDViwIq/0q2I4LLbAOSsJFs86KRxP1s85wk8ZxsA4AkwLYAybYk7meb5yGJ+9kGBEi2AUnczzYvCFSeh00pkZmAJEnTNEUEYLuUMo4jl0lCcmuSbEeEpMyMCNuSANuAJECSbdvTNEUEYDsigIjIzIhordnmOZVSAEnT1MARkTaXGbBB4FIKYFuS7VKK7WmauEySpIhorQGllMxsrQFI2KUUwLYkngtU7ifpQQ+6ZW9v/7777ju2c+LY8WOSlstlLbVlW63W586fP3P69NbW5sHBoSTb4zhmaxsbG8MwdH2/t7fXWnvIQx586dLesWM7z3jGbZL6vs/M1Wr9oFtuXg9Da20cx77vx3EE9/1sf39/mqaHPuQhy+XyaHm0Xq27vg/JOKJM0wScP3/hzJlT15y55u6771bEer3uuhpRdra3L126FKVkZt/358+fB/quG6cpIm64/vpLe3uSIqK1NpvNSinLo6ONjY31MAiWq1XXdSViaq2Wcmlvr7XWdV1mZiYPBJXnYbvWWkqppWYmaHO2ubExnTt3rta6vbVdSz04PDxz5vQwDJJm/Wwcx42NjSc88Ymtta3NrWx5bGen77txnI4dO3Z0dLRarVrmYjG33Xf91tbmarWysS2xXK4yc29//+SJE/VE6fvZpb1L2TKdJ0+ewJw9e7bWOpvNrrnmmlJLm1pELFfLUsq11147n88PDg/29w9sR8R8MR/29mutkmaz2TVnTq/XQzo3FotLe/vdzk5mloj5YrG1vbWxWIzTNKyHY8d2hmG4tLe3tbU5DGNrTRLPAjp93Wmek+2trS1waymp1joMaymWy2WtdbFYrJbLcZo2Nzenaeq6urHYuLS3V0qsVmsgIrqum6bJ9jRNmRkRkubzuaSu1qm1cRxrrZnZWsvM1lqtdZqm48ePr9drYBgG27ZrraWU5XI5m826rmutAaWUaZq6rluv15JqrdM0DcMgCbAdEZm5tbXVWpM0jiMwm/XZsuu6o+Wy1tp13TRNwDAMkmazfrVat9ZsA5IkjeN04vix3/+t3zxz+rROX3ea+2WmJKC1BthISAJsl1JsZyYQEbYlZSYQEbYl2ZYESAIkScrM1pokoLUmKSIAwCZCkmxHxDiOEWE7IiTZlmQTIdu20xbYlmRbkm1JXBYRkmzbBmW2iAAkAbYB2xFh27YkQBJgW5Ik7idpHKcTx4/9/m/95pnTpyv3s33D9dcfHBwMwxClZOaJEyemcRyGYT0M29tb+3v7ipDY2Nhcr9e11sPDg1Lq8WPHLly8uFgsAOy0W5sOD49KKUBrbWdn5/SpUxcuXABq12EP47her21vbm621ob1+sSJE+fOn5/P59maIubz+dHRUUQMw2BbkqTW2nXXXtOmdnh0JEkSsLGxMY4jUCJa5nq9BiQBksZxbK1xWUTYlmRbkiTb3C8ibPOCQAUA211Xu76fzWY33XxTm9o4jn3fnz179viJEyFtbW1df911y+XKdinl/IULG4vF5sbGiRMnLl68OJ/Ndna2s2UpZWdn576zZ/f29jc2NkopFy9eXMznx44f29nZ2du7JMU0Tac3FtlSUu1qZg7DsFquTpw4cerkydYasFwtt7a2Tp86+Q+Pe/x6PZw4fuzo6Ki1tpgvDo+OHvLgB7dsmK6rq/V6GIZsWUoZx3Fne3tzc9P2OI6LxeLs2bP33Htv13W2bQO2ucw2D2CbFwJ0+rrTXGb71MmT0zTVrluvVmlna2mfPHFiGAYEMAxjZpNC0sZikU6nV+t119W+nx0eHESJruuPjo5Wq1VEAJk5m80kbW5urpZLpIho0zRfzFvLWmtrDXsYx9lsBkg6cfz47qVLtsG7u5dsc5ntY8eOhaTQOE5tmjY2NqZpms1mB4cHoehnMzBmPQyttY2NjfV6vb+/HxH860kax+nE8WO//1u/eeb0aZ2+7jT3m6YJsF1KATIzIlomtiQgIrhfa00SEBFAZpZSbBtCkpSZtksprTXAtiKcKYnnIQlordVaI2KaJsCm1gLYBjLTtiTbkiRlpqSWWSK4zLbtiABltoiICEn860kax+nE8WO//1u/eeb06cr9bC8Wi67rJA4Pj4Cd7e1hHGutfd8fHh72XbdarzMTkLSzvT2MYylluVxK6rqutRYRmSkpM48fP15KOX/hwvb2tqRxHCMiIqZpqrUsl6uQWiYgybbtYzs7wziO41hrtV1rba0BEQGcPHlyGNbDMEYItF6va62SFvP5MI61lMOjo8Vi0XfdcrmstUYpq9Wq7/vlcgnYlsS/DVTuJ+khD3nwcrm89977rjlzpta6s7Nzzz33LBaL1lqbz7c2NxfTtLOzPY1T13WSzp0/t7HYOHnyZN91Xd/dcfsde/v7x48fX6/XR0dHp0+fCsXxY8eGcViv1rNZX0o9trNz7vy5jcXGiRNazBcHBwdbW1uIJz7xSVtbWw9+8INba+M4PvFJTzp16uSxY8ey5Ww2U2gcxvl8fuHChe2t7e3trSilTS0zp2mazWZnz52bz2anz5wuUQ4ODyXN5/ONzY3VcnXq1MknPPFJwzAcO3bs6OhomiZJ/GtB5X62l0fLg8PDvf39nZ3tlu3uu+82lFL2Dw76vpdk53o9RGh/f389DIKIGKdxmqZx71JmRsRyuczMUur58xf29/evv+66/f392nVd7dI+e/YskiIyM50RcXh4aAxk5v7+/tSmbClpGqdxGKdpSnu1XKZ97333LRaL+Xx+eHhkG7FarlprpRTs2lXbe/v7mdn1vSLOnTvfd93u7qXMlOLo6CgzJfFvADp93WnuN45TKVFKaa0BQETYBiRlpqTMlARIkmTbtu2IkCQpMyVJykxJmSkJkGTbdkTYBmqt4zgCkiLCdtrOlFRKyUzAgC0JkASkLbANSAIkZaZBAEgCMjMiANuSAEm2bQOSbEcEL5ikcZxOHD/2+7/1m2dOn648wPHjx9br9Xo9RMh23/fjOGamJEld19mezWar1QqwDUiSVEtZD4MkSZJsp41tW5JtSZkJLBbz9XqwDQzDIAmwPU2TJKDrOknDMJYSALbBNgDYlsT9bAOtta2trdbaer2OCCAitre3V6vVNE22a60hrYeh7/u+723bWUo9ODiQlGkJSbwQULmfpAc/6EFHR0fDMLTWkLY2N3cvXdrYWKzXwziOp06evO/sfbPZPDP7rutns3vvuefg8PBBD3rQbNav10ObJsMdd9yxs7Nz+tSpcZpKhKRpmiQhWms24zhsbW4BLVst1XYppWVrrYWilDJNE3Bpb+/ixYs33XhjrTVKGccxIsDT1EoJKUqEobWplpr2/v7+6dOnj46Ozp49e+2115RS+r4/PDw8c+b0er0ex+no7NlSyunTp+az+cWLF5Famw4PjzY3N1trwzBI4gWBAADbEXHf2bPnzp3b39837rpud3e31trVru867N1Ll4Q2FovFYt713TgMpRSg1pItZ31ve3Njw6aUcvHiRYmu74ZxRMwX843FQlLfdYvFxokTx1tmKGazmaSImM/mUkxtOloeLVerrusW83lmbm1tzWazvu9KKRcvXmgtt7Y2Z/0sQq01Z4ZisVgcHBz0fd913Xw+t91aguaz2c7OTle7UsrmxobtruuAc+fPd10nqbWUlK1lJi8c6PR1p7mfbUASIAkQpC1Jku1Siu3MtG1bEhARmQlIEqTNZbYl2ZYkybakiJC0vbV1cXfXtiTAtiTAtqRSim3bmbm5ublcLm0DgCTbkjJTkm1AEhARtm1zWd/3rTXbmRkRklprESHJNlBKGYZBkm1AEs9J0jhOJ44f+/3f+s0zp09XHkAS0FqTBNiWxANM02Q7IrjMNpCZQES01mxL4rKIADJTEmAQTNMEHB0d1VolAbYzMyIASZlubQAkAfv7+5K4zHZESJqmSVKmSwnu11oDJHHZer3mMkmtNUBSZtrmstaaJEAS/yKo3C8zH3TLLQeHh+MwTNOEVEpprUkCbAPYXd+P4wjUWsZhjFJsO3O5Ws3n8+PHju0fHDizlHJ4dAQcP368TVPa21tbB4cHmZ7NZrO+3z84yMzVajWbzY4fOzYMw3oY5rPZar2WVGvtaj1aLm1nZono+n42m63Xq9ZapgWllv39A0lcJokHkMT9JHE/SfwbQAUASbaPlsu+7zYWC0WcPnXq4PBgHKfFfJ6Zmdn3ve3zFy7cdOONrbXWWill/2D/1MlTFy5efPrTn37LLTcf2zl27bXX7u7u7uzsPPFJT7J96tTJYT3s7OxInDhxHLRer6c2Xbd5re0nPulJN95446mTJ5/4pCfZPn7tta21xWIRJUKyWa6Woej7fpqm1WolmM/n8/kcAJbLp0/TJIn/bFABwHZE7O/tKWK9Xm9sbBweHh4dHUmazWZbm5v7BwcR0abp0t7e4eEhMI5j3/cSBweH4zjWWi9cuHiwf9Ayx2E4ODzITNt33nFnyzw6Oko7M0vEcrWqtYakiK7rLl68uFqt1ut1rfXw6Ojw8LC1trFYTNOENE1TRMxm/dHRMkJd103TdGlvbxxH27Yl8V8AdPq609zPNiApM21HhG3bkmzAkiIiMwFJtgFAUkS01mwjhZSZESHJNlK2BkiyHRG2AUMtpbVmu5QCTNMUEZIyUxL3sy0JMGADkoCI4D+NpHGcThw/9vu/9ZtnTp+uPIAkAIgISbYlSbItictsRwSXSZIE2LYdEZIA27VW24AkoNbK/WxLAgS2I0KSbaDrOttArZXLbAOSbAOSuMw2/5Wg8gLY5jLbgG2eH9s8gG0us80D2OZ5mGeyDQC2AcA2D2AbAGzzX8pcAZWrXggJAQAVAGxz1fOyMQBQbXPVC2DbXAaVq14YgQGgctULYxAAVJ6XeW4C83+QwDw38ZwMALWWgsCYq55DSLZLqYChnrtwAQMgBCCuwgahaRozM21J9dM+6ZOcmbadmc5M27ZtG7D5/0ASSJIkKSIiFBG2NzY2FotFa03Dar+1No3jaj1M0zi11qaW2TLtTNvmMpv/eyRAIEkRCpUopZYapXZ1PpvVrotS2jTZrmfPnp2maRyn+XzeWhvHcZqm1lq2lrZt2/yfJklSSFFKKaXWml1tmXt7e6WUvu93dnYk1ZCkmKbpW7/jOy5cvCAis2Vm2tgGbPN/lgBJgBRSRESE8YnjJ971nd55c7OXBAC1ZUpcunTpq7/u6/Yu7ZVaDOI5SfxfZfMABkGb2vbO9pu+8RtvbW1kJgDUzMx0Oo8fPx4RtVbb/D8mqbW2tbVlZ2vJFVBt2850a621Jsk2lwnMv0Bg/k+RNE1Tay3Ttm0DQNi2bSfPSaJlSlwhEAgCEgAB0GyBQAAECAQCQCCeSSAQzyQQGAwhCQQCQYBA/Lcydtq2AYBqY9s2NvezPUxsbMwPD1fzLgyDnXZIzT5e65C5tou0XcvFqQEBgVbOKgkMgRouUKSEwRYEFAlodsJGiWYuTdM8wlAAacgsElAl8d9BgG3bxgaACgA2zyJpmNoHv/lLvP1rP/LzvuePfvtv7lIfr3f8mESnOD+ON876py3X1/Xd+Wk6VevaOdkzxX3jePNsdtt6vRnRoECR9lv7q/3DG2f9K+5s3bZaX9v3v7l7aUq/4cnj58fppll/+3r9yI3Fk4+WW6Wcn6aNiJ1a7h3GG2f9X+wfXBinKpn/BjaAuQwq2JgHsF0iHrKxnl26++adkibMDbP+acvVS+5s3rEufWi7liKdrBV46Hw+2L10cZpe4/jOXx8c3r5a39B3By2ruKbv/mRvf7PEQ+fzXjELpZ14r7WGT3fdPcNwy2y2zjxW63i0LNJLbm7e1Q0zxbVdf98wVon/agIA22AAqDYYMPcTGL7ql57+439899/ffTTvi8TPnb+wO7UnLZfNnOzqpantTtNOKcdr/dP9A8HxWg5afs3tdzW8XcrTlqs+YnQG2izl7Dj94oWL58bpdFerFNLjD4+avT+1/db+/s67N0rMIyZ7HvG4w6MibZa4OE6dwvx3Mc8Cledh6EL3Hba79g5mXUgAB1ObSRfGCbgwTkUUaXeazk9TAeDCNBUwCM4OUwiDwNBLy8wnHS2rdHGc+lDAYUuJpy5XRUhajVOCIKGA4b6RCiHxPwFUnh9DX2JWSWMbKBG2q6SI3k4bqULlmTqJ+1UAY5CwDQGLUmxXYQCKAOYljEFIADZXSIK0AUmAbUAStnlRSQJs8+8ElefH9jBNisCWJMm2JMOwXgOlFNtRCrYkoLXWWosI26UUQJIzJdmWNLUmKSKyNUNIgDMlgW0DEQHYzkxBRADDMJRSJEXEMAylFCAiWmuKCCkzJdmWBACSbEfENE22SymSMjMi+LeByvPIzI2NjZMnTqxWq9p1Fy9ezMydnZ29vb1pml7rNV/z7NmzT3v606+77rp77rknMwHbGxsbZ86cwZ7NZnfdfdewHqbWuq4bhqHWmpmLxSIzV+v1xmIREtLGYrG3vz+fz0qpR0dHpZTlchkhEbPZLO3lcpmZD3/4wy+cP3+0XK7X6wfdcsvF3d2TJ0/eddddO9vbwzhO07SxsbGYz4dxXK/XtiVN09R13XK5vOaaazYWi7vuvtv2fD4fx9E2/wZQeR4RsVqtHvbQhxrP5/OzZ8896JZbDg4PbrvtdqQbb7h+e3v7IQ95yPnz51/sMY+57+zZJz7pSQ99yENOnz518sTJ3UuX5vPZLTff3LLN+tlisfjlX/3VRz7iERHx4Ac96PyFC3/8J3/y+q/7uqWUg8MD24v54vDosJS6tbk5TdPB4cGdd9718Ic9rOu6Wutv/NZvXX/ddS/2Yo/NlovF4md/7uce+chHbG9tz2b9xYu7W9tby+VquVxKKhEbm5u7u7vbW1t33Hnn4x7/+K3Nza2trVd+xVdcLOYR5b6zZ48fO/Z7v//7586fr7Xa5l8FgucREcvl8vyFCxHlSU968jAMm5ubpdT9g4OD/f077rzz9//g9++88879/X1JEsvl8pabby6l3HX33W2aDg8PD4+Otja3uq47ODhYrVbHjh178IMe9PRbb7148eLGxsbd99zz5Kc85ejoqJT6pCc/OTOnaXza059+2+23gx71yEeuh+EpT33qnXfd1dUqaXm0HIZhuVxOrd1++x2ZeXh4dGnv0lOe8tT77ruv7/vMjIi77rrr/PnzLdvxY8e4TFJrbf/goLV28eJFSds7O601/g1AT3vKEzLzrrvvepf3eM+9/f1aq20eICK6rhuGYZomQBJQa5XUWouI1tp8Pp+mqZTSWmut1VolDcMwn8+Pjo7m83lErNdrSbYl8QLYXiwWq9VKku3MjIjNjY1Le3ubmxtHR8uu64BSyjAMEZGZETGbzQ4ODrquy8zZbDZNk+1a69HR0fFjxw4OD2uttmut6/Waf4mkqbXtzc0f+r7vvfGGG2stp0+fllR5ASRxme3VaiWp6zous91aA0op0zSVUlarFTAMg+1SSmvNdkSsVquu64ZhyMxaKyCJF0zS0dFRRGQmEBGZube/X2s9OlrWWqdpsj1NUyllmiZJmblcLmutmQmsVquIaK1N09T3/d7+fillmiZgmqZSwsY2/1pQeQHW6zWXRURmllLW67Uk26WUxWIxTdPB4eHxnZ3Do6OIiIjtra2+7/cPDg4PD0sptiNiHMda68bGxuHhYWbaVoTtkIC0BZlZSrEN2I6IWquk9Xq9WCyGYZimqZRydHS0ubkpabVaLVerUydPTuO4HoZhHGsppZSIyMzlanVsZ3scp/UwCMZpCikigGEYuq6LCP61oPL8tNZe8iVeorVWStnb2ztx4sS9991304037u/vb2xsbG9vCd11zz2bGxuz2Sxbu/vee+6++56XeqmXuuXmm5/wxCceHh0JZrPZhQsXTpw4cf311999913T1KY2LeaL9Xo9m82WyyXQdV1E7Oxs33XX3fP5HOj7vuu6ne3tX//N33zpl3qphz7kIX/8J3+CuHhx9+Vf7uV2L116iRd7sTvuvHMYh82NzfPnz992++2v+FIvdezYzsWLu3/8J39y04033njjjcMw3H3PPadPnxZcc801y+XywsWLId14442333772XPnaq22edFB5XnYns/nr/Hqr37nXXfO+n7/4HB7a+vFHvuYjY2N8xcu7F7cPXny5O7u7mu++qu1lvfcc8/W9taJkyfOnTsf0jNue8a111wjabFYXLhw4TGPefRf/dVfO/Omm26qpSJhD+NQSh2G9SMe9vALFy/u7++P0/TiL/ZiN95ww8VLu+fOndva3Nq9tLuzs/OgW26ZzWYv+zIvM7Xpd3/v9x/7mMccHB60lg976ENPnTr5pCc9+cKFCw9+8INe/VVf9c677zp//kKtdWNj42Ve+qUvXLzw9FtvfemXfMmbbrrx3vvu29rcGoZhnMZrzpyZ9f1dd9/ddZ1tXnRQeR6SVqvVr//Gb6xWq/l83rLNZ/ODw4PNjc0LFy+O47i5uTnr+yc++UnbW9vnz58/dvyY0Gq1Ojg8vOPOO/uuO3bs2D333GP72G3Hu657/BOegNR3Xe3qvffeN5/PbQ/DcOutz5imaW9/PyTDiRPHx2G8dOlS3/ebm5tHR0dPe/rTx3GUFBHr9fqv//ZvhvVwtFzO5/MSMZvNDg4Pz58//9u/+7t33nXXg2655WEPfejd99zz13/zN5cuXRrH8R8e//jHP/GJO9vbwzDMZjNJt976jPV6XWu1zb8K6GlPeUJm3nX3Xe/yHu+5t79fa7UNjOMUocwEDAIgIiRlpm1JtiMiM4Gu62zbbi3tLKUAtm1LAmzbLrXaxo6I1hoQEZJsZyZQSknbmX3fr9drSbaB2Wy2Xq+RQrJtu+9728A4jhEREV3XTdM0DENE9F03tWZwJsgYOyKArutsS7LN85A0tba9uflD3/e9N95wY63l9OnTkiovQIQk1VojorUWEZkZEbZrrZlpOyIklVJaa7YlSSqlZKbtUsowDLVWSUBrLSIkZWaptbVWay2lTNOUmbXWUkpEjONYIohorfV9P01T13VAy+y6DpCUmbWWYRhrrZk5m80yMyLW63UpZTab2TaUUjIzus42IGmapohorUlqrZVSMhOICF44qDwP26WUxzz60QeHh/fdd99qtTpx4sTBwcGxY8f29/f7vh/HcWtra7FYOHP30qVSytbm5qW9vXEca622F/N57brd3d1HPPzh586fP3nyxJ133nX82LHlatVam81m8/l8HIb1MBwcHBw/fvzGG2542tOfHtJytTp54sRytQIWi8ViPr/hhhvOnjvXWrvvvvtqrbZba4v5fG9//8yZMxcvXtzY2BjHcT6fHx4enjx58ujoqJQS0nK1KhGbm5vr9bpEKGKapptuvPHS3t56tUp7NpvNZrPW2nK5XK/XknghoPI8bHddd9111/71X//N67/e63a1u+POO6dpms1m4zg+5tGPPn/+/HK5PHXq1Gq1OnHixD887nE333TTr//GbxweHr7US76k7Qc/6EGttd/4rd965CMe8dIv9ZK16/Yetbex2FiuVsN6nXbfdYvF4vz583/+l3/5yq/4ijs7Oy/z0i914cLF3/v933+1V3vV1WpVSlksFrXUzLzl5pu7ru7uXpJ08uTJvb29qU3Z8q677365l3mZ48eP7166tFqt/uiP//jVX/VVl8slUGs9f+FCRNx8040/83M//8qv+Ipb21s72ztTm9ar9ebm5t7eHnC0PDp18tTv/t7vHR0ddV1nmxcEKi/A3ffcs3+wv5gvDo8OgWmaZn3fWjt/4UJrbXNz8+m33rq5sQHMZ7PlannNNddMrU3T9IiHP/z2O+5YrZZd1z3t6U9/+MMeNh0cnj13br1e93138uTJcRyx77r77tZaKWWcposXL25ubpy/cCFK2dzYPNg/uO3226+95pqu62+77bYbbrhhY2PjzrvuQsxms7vuvnt/f/9BD3oQsFqvLl68eP7ChWvOnKm1bm5uXty9WGu3Wq02Nzd3tref9OSnrFarc+fP717afdAtD7r1Gbdee821rbV777tvb2/v5ptvuvOuO8+eO1drtc0LAXraU56QmXfdfde7vMd77u3v11ptc79a62q12traWq1W8/l8tVrZvu666zLzrrvu6vs+JEVExOlTp86dP79arWaz2TAMkoCIyMxa6zCMpURrrZRSa10ul13X2c7M2WzWWmutRURX60033fSUpz4VkNR13TiOtvu+H8fRdt/30zQBmbm1tbW/vz+bzTLTdol40IMe9KQnP7nve9uZWUqZpkkS0FqbzWbTNEkqpYzjKMm2JEm2uZ+kqbXtzc0f+r7vvfGGG2stp0+fllR5ASQB0zR1XXd0dFRKWS6XJaLZd9xxRyllNpvZbplkArfdfnuttdY6jqMkSdM02Y6IaZpqLbZLKcA4jn3fZyYQEev1upQSEbbHaXrik55Ua62ltMxxnEoptqdpAkop4zhmZq211rq3t1drnaYJyEzgiU96Utd10zRJktRaiwgu67puHMeIAMZxlARIAmzzL4LK82N7mibbtiOi1rperyUNmfP5/NjOzqW9vWlqYEmA7VrrNE2ttVJK3/fTNB07duzo6GgYBknDMESEJNuttVJK13XTNM1ms8w8OjpSRERka4vFopSyt7c3n88zcxiHiBDM5/NxHCPi2LFjFy9ezMydnZ3VajUMQ0Rsbmxc2tuLiPV6PZvNbA/DYLvW2lqCJUXEMAyZ2XVdRNjmRQeV55GZi8XizOnTEXH8+LG+648fP37nXXfVWkspf/8P//BiL/ZiR0dHwzCcPHninnvuPXHiRGbeddddXdfdfPPNd91999Oe9jRJb/JGb/R3f//3995772w+O3P6zGq1unjx4mw+f/CDHvTUpz7V+LGPeczR0XK9XkdoMV/cfscdx44dG4ZhPp9tbm799V//9ebW1sMe+pB77rn3/IULL/WSL1GiXLh48dixY/fce08tdWdn5/ixY09+ylO2trYkbEqJ9Xr4m7/7u77rXu5lX2a9Hs6eO7dYLE6dPLG/f3Bpb+/kiRPXXnvtP/zDP5y/cKHWapsXEVSeRynl4ODg9V7ndfq+v7i7e2xnZ5ymYzs7N99ycy3lcY9//M729sMf9rDFYvH3//APL/syL3Nxd/fM6dMnT5w4derU6dOn+657xjOecdONNy4Wi0c+4uHXXHPNNWfO7B/s33rrM17mpV96e3v70t6lm2666UlPetKxY8duuvGmS5cuLVfLYRhe9mVeZn9/f7GxUUvZ398/c801W5ubZ06fufaaay9dunT99dfdd/bcQx/ykKlNp0+d+ofHP/7kiRPDMLzYYx97zTVnzl+4cO+99z3yEY84f/78E574xMVi8dIv9dJ2Pv3WZ9x8001Pv/XpUjzi4Q8/fvzYvfedvemmm+65776u62zzIgI97SlPyMy77r7rXd7jPff292utwDAM11933XK5vObaaw8ODmZ9v3vp0mw229zYuPUZz7ju2muPnzi+PFqev3BhPpu99mu91h133nnvffeNw1BqHdbrg4ODUus4jn3XnTlzZr1eR8R6vZ7P55LOnjsXEYeHh9dee03f9UfLo9VqLcn2tddcs3vpEvYwjoeHhw9/2MNOnTz5V3/z1w+65UF7e3s7Ozv3nT0rqUTs7OycPXduY2Nja3NzvV6vVqtLe3snjh/vZ7O+6578lKc89jGPOXv27IkTJ3YvXdrZ3r548eKpU6cODw8v7e0Be3t7JcI8H5Km1rY3N3/o+773xhturLWcPn1akp72lCdk5l133/Uu7/Gee/v7tVbbkqZpkjRNU0QAEWE7M/u+H8cxMyWVUoDjx44dHB4eHR3VWm1LighsSbanaZIERETLBGqttkvEOE2AJEkCQ5umKAUICej7frVaSZpaU4QzaymAIVsrtTqzZYakiBLRWlNEV2vLXA9DLaW1FhGZLiVaaxEREZIighdA0tTa9ubmD33f9954w421ltOnT0uqPD+2AWA+n0/TlJmZGRF93w/D0HWd7YiYpinTF3d3bc/n89ZaRESEpGYDhlqrABjtXjI0u4Kh9j1QYLIbVIhaC0w2YFhPU3S9ce26DiZIu0hAdJ3tLGUuNS6zHSGYMou0sVjY7rqO+/V9ZwMAtvlXgcrzY/vUqVOZuVjM9/b2T5w4EdKFixePjo6uv+66S3t789lsb3//2muvPXP69B133tlaa22azxeZuTw6OpqmR836R/Td36zWB+ntiJMlDAeZuy27iL1M4wK9dLG1YyUe3vdPGQZgt+WpUrhsxL3UrFfbmD9lGO+d2kNn/VOGwaaTInRDrZda7mabK66tpcBt43RtLU8dxszkOdn820Hledju+/5VXumVxnHMzPliHoqLuxdf+qVeKkrs7l46fuzY6dOnfu/3/0DSQx/6kAc/+EEnjp84ODi4+557HvSgW373t3/n/N1337C1uRPxMvP52t6JSLwZcd/UqliELrW8lPlSs9mR/bN7B6+0WJyp5aXns/3MX9g/fOWN+T1Tu66WAvOIVXoRenDXPaLvjpXy0vPZMnNtGzYibh/HlyuznYgLLY+VeHDfXV/rYR7eOo4zyfwHgcoLsLG5cffddx8cHJ48cWI9rNfr4eQJXbq0t7W1Cdx1190HBweHR4enTp0CxnG8cOHC059+64njx2+44Yaz+wf3DsMT7Ga/1Hx22zgCCQVC3KA6mp2Ip4/j2t7P3M+cJlfYTx9mXmq5ytxtquIJ67EPTfZcOl7iMF3Fyr5nbFUcK2EzhO+Z2vnW7pyYS4O9l1kk/gNB5fnJzD/9sz+/7bbbMrPv+2EYaq1/+Vd/BbzSK77ik5/85PvOnu26LjP/5E//dL1ez2azaZoi4td+4zdsW1rVclOtDQ7TAwQENFibhLW9n24wEy+7mDd7v3mCTrzMYj7i7RKTPZjtEgJJDZZ22g0qbJcAmmlw79QaGAKWdrbsJQziPwxUnoek1trTnva0rutqrdM01Vptc9nv/v7v11JqrbYlZWbf9621iAAyUxLp+6Z2vjVMQgiMAZB44nooIJBIE8IGkEgTwuZZJGwACZtnEQDm2SRsrhhxCPMfByovQN/3tm1Lss395rMZYJv72ZYEAJIAibVt80zm2Yxg4DIDYJ7JAJjnYJ7J/AvMswjEfyiovACBkcAgnpfEC2OQeGEMAuNm/heAyvNjuNjS5j+bxHaE+B8PKs/D0EsfeOLYdolmxH8KQxF7LX9i72C0xf9sUHlOgsk+XcrHnzm5HdFsif8MNlXay/y1g6N7p6mXzP9gUHl+DLutjXazhcBIRGCTCQIjAdggXiAjAdggnskg4yIdZBrE/3hQeX4EBRVAEoDIzIN9zebqewCE7WlSrUhcYSNhowADIDKdqa7DBrBBgFGFgsT/BhD8iyS3Vo4dP/4O7zJ7+CO8Xnu99jQB3bXXYTNNXq89DGCv14BXR16vPQyeJnV9PXkqDw+8XnsYkPjfCCr/IlultP29euaa2cMePn/si7fd3em+e7ubbl681Evf9+VfvPnKr9rf8qDxrrs0n3kY1M+QuutvGG57RtnZ0WwWG5u5v+/WEId/9AfTuftUO2z+F4HKiyLCq9X6CY/XxkZ3+gyZ88e+2PDUp6yf/CRK6R/04PljXkzzxXT+XD15OpdH9cw1sbk5e8hD1c9WT3x8zPfnj3lsu3RpvOfudv6caofN/y5QeVFkqu+P/vLP3Fo5fny67756+kzb34vZTF136Rd+du+Xft6ZMV+0/b1y7Hjbvaha5495sen8+eEZTy87Owe/9zsIjyMR2PyvA5UXmccRaTp7Vn0/nT+nUvLwkJBXkzFoOjpSKdO5s6rVw3D0l38OqO/z8JArJCT+N4LK82NInChtJK6QAGrFplYACSDEFREAtQJEUAo2NhE8L7tJic3/BlB5fgJ2SmxFTEb8O0i8AIYqAgLM/3hQeU6GIh1k/tze4bESzfznKWK35WFmkfgfDirPI2Bpf9I9Z/kvsRERYP5ng8rzI9gpAeI/X7P5nw8qL0Ai/ktI4l9im/9eUHl+JAG2+R9AEv/tIHh+bPOcJHGZJEASIAmQJCkiAEmSJEniMkmAJC6TJEkSIEkSIAmQJCki+B8IKi8CSa01oJQyjGOJyMxSyjRNEZGZtqdpWiwW0zQBtoFSiqRhGLuujuNYSgGm1gS2SynjOCJ1tY7jWEoZxzEi1uv1xsYG/9NA5V8iaT0MN9944zu9wzv8/C/+4r333ju1Np/N9vb3jx07tl6v57PZsWPHbrjhhrNnz95x550bi8UjHvGIxz/hCavVapqma685c/7ChdOnTh0cHq7X60c94hGllNtuv721dvrUqbQvXLhw+tSpg4OD06dOpf3iL/bY3/nd34sI/keByr9E0jROp06duvbaa04cP/5e7/7uf/nXf/2oRz7y/IXzj3zEIx73uMcvNhbjOPZ9f8cdd37A+73vhQsXnnHb7W/2Jm/8S7/8K0956lM/9qM+6m/+9m9f9VVf5U//9M/OnT9/80031Vof9chH/uVf//WDbr55PawvXLj44i/22L/66785ceL4fWfP3nLzzb/zu78nyTb/c0DlX2K76+rZc+eefuutLfPJT33KuXPnNhaLs+fP7e/vP/FJT5qmViK2d7aXy9Vf/tVfX7x48Z577wXSub+//5SnPvXe++770z/9s7/5u799uZd52ac+7Wmr1erw8PAJT3ziE5/4xLS3NjeXq+WTn/yUo+USuP32O/q+H8dREv9zgJ72lCdk5l133/Uu7/Gee/v7tVbbgCTbXCZpmqbMrLUOwyAJaK2VUpAiwpkR0VrLzFKKbSRBrXUcx9aylABsJGwDihCAWpsiAogI25K6rrPN/STZ5r+KpKm17c3NH/q+773xhhtrLadPn5ZUeRHYrrUCtufzOZdJss0D1Fol2eZ+tmezmSTb3E9gnk3qbfMAtvmfBiovGttcZpvLbPM8bPOcbNvmAcxzsM3/fBBc9aKAygsmiauugMoLYJurngUqL4Ak/vPZ5n8FCF4w2/ynsc3/IlB5fiQBgG3uJ8k2/6Ek2eZ/Pqg8P7Yl8ZxW63XfdbXWzJQE2JbEc7ItqbWWmbVWSdzPtm0ewDb/K0DlRWC7lPLgB91y331nL13a6/rOmbZrra01SWkLJLXW+r4fhuH48eNd1128eNE2YNvQdV1Xq23+14HKv0TSar1+1CMe8eEf+iF/9ud/8cQnPenw8HAxn/d9f+99921vb7fWZrOZ7dVqdfz48dtuv/30qVPXnDmzvb31jNtu39/f77qu7zqF7r7n3nvuuafrOtv87wJVEgLECyApMzc2Nu65555bn/GMj/nIj/zbv/u7pzz1qTfecMOJEyfOnT+3sVhMUzs8PNzc3Nw/2H+1V3nlRz/qUX/wR39cS3nQLbdsb28fP3b8aHl039mz3/v9PxARtvmfzgAIAQKACghJvCCZOev7O++669u/67vvvvvuaRzPnjt34cKFa665Zj6fZ2ZE3HPPPV3fd109ODi86YYb/uCP/vjChQvrYT3rZxsbG8vlMiIuXLy4v79fIsz/DhJCXAFVAgEC8QLUWi9evChpa2vrD/7oj0qtpZSLu7uZiYRdazXYLhH33ntvZpZaQ7LdMkMCSim1VvO/gblMgAQAVJCQQogXxHatFcjMzc1N20BXK/ezzf26rgNsA5K4n23b/K8hSZKEAKBKioiQeABJPCfbXJaZXGab58c297PNCyXJNv8DiQhJIgQANUKZRAQPYFuSJP6T2eZ/qoiIiJAAoEaE5IginoNtSbb5zyHJNv+DRZRSIiIAoEYEUErhedjmP41t/mcrpZRSuAKqpIiotShCkiT+f5MkKaRaSinFNgBURZRSSsQ4jtM0Abb5f0zSNE3jNJUSpZTWEgTUEgVpvlicOXMa6LrOmTyA+T9OPAdFjON4+tSp+WKOFBESgC6evycz07506dKwXhucmbZt2wDGmP+jhBCAJEkhKULQz2bHjh0LKSL6vgdqREgoferkKcBO27YB2wCY/+MESAIkSZICsFNSRABAlQQR4cy0bWPbGAMY83+fhWwjZCSkJikiJEkCgH8EZhh8INE0V3AAAAAASUVORK5CYII=","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c8c99f83-d636-4c43-83f0-a764e71bc9b3","timestamp":"2026-08-25T21:20:48.397Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":2291508,"dimensions":{"originalWidth":796,"originalHeight":16008,"displayWidth":99,"displayHeight":2000}}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"[Image: original 796x16008, displayed at 99x2000. Multiply coordinates by 8.04 to map to original image.]"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9abf5ae9-6cbd-4848-862d-9de9d34c932d","timestamp":"2026-08-25T21:20:48.397Z","isSynthetic":true}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8adb6d5d-f08d-4d8b-8a38-6cb4ca2c11aa","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"bd204eaf-3d62-468b-ac20-3112638f61c8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"fd75e9a7-27d1-4aa4-88b5-fc7a0b145bd0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"356cae64-d233-4749-91ca-ced5a4a9093e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"7f9f27f5-4288-4d63-96dc-e1b0e4a517aa","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAd8F7Am597XrWTBAxx","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1116,"cache_read_input_tokens":230236,"cache_creation":{"ephemeral_5m_input_tokens":1116,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"05a22fff-499e-489c-83ba-ab5e0085074b","request_id":"req_011CeQAd5nmtMwpibSt9wN1i"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAd8F7Am597XrWTBAxx","type":"message","role":"assistant","content":[{"type":"text","text":"Zoom sur les détails critiques : héro mobile, graphique avec infobulle tactile, menu mobile, dropdown de recherche :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1116,"cache_read_input_tokens":230236,"cache_creation":{"ephemeral_5m_input_tokens":1116,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bd6d8192-9432-4a0e-ae36-2d0696876fba","request_id":"req_011CeQAd5nmtMwpibSt9wN1i"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAd8F7Am597XrWTBAxx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H4XEsi2W5h9fitMR1s6yXc","name":"Bash","input":{"command":"cat > vp-shot2.tmp.mjs <<'EOF'\nimport { chromium } from 'playwright';\nconst base = 'http://localhost:3999';\nconst b = await chromium.launch();\nconst ctx = await b.newContext({ viewport: { width: 390, height: 844 }, deviceScaleFactor: 2, hasTouch: true });\nconst page = await ctx.newPage();\nawait page.goto(base + '/', { waitUntil: 'networkidle', timeout: 45000 });\nawait page.waitForTimeout(800);\n// héro\nawait page.screenshot({ path: '/tmp/vp-shots/z-hero-mobile.png' });\n// menu mobile ouvert\nawait page.locator('label[for=\"vp-menu\"]').first().tap();\nawait page.waitForTimeout(400);\nawait page.screenshot({ path: '/tmp/vp-shots/z-menu-mobile.png' });\nawait page.locator('div[role=\"dialog\"] label[for=\"vp-menu\"]').tap();\n// dropdown de recherche\nawait page.locator('input[aria-label]').first().fill('1075 chemin sainte');\nawait page.waitForTimeout(900);\nawait page.screenshot({ path: '/tmp/vp-shots/z-search-mobile.png' });\n// section marché + toucher sur le graphique\nconst chart = page.locator('svg[role=\"img\"]').first();\nawait chart.scrollIntoViewIfNeeded();\nawait page.waitForTimeout(400);\nconst bb = await chart.boundingBox();\nawait page.touchscreen.tap(bb.x + bb.width * 0.55, bb.y + bb.height * 0.5);\nawait page.waitForTimeout(400);\nawait page.screenshot({ path: '/tmp/vp-shots/z-chart-touch-mobile.png' });\nawait ctx.close();\n// desktop : masthead estimation\nconst ctx2 = await b.newContext({ viewport: { width: 1360, height: 900 }, deviceScaleFactor: 2 });\nconst p2 = await ctx2.newPage();\nconst res = await p2.request.get(base + '/api/search?q=1075 chemin sainte-foy');\nconst j = await res.json();\nconst id = j.results?.[0]?.id;\nawait p2.goto(base + `/estimation/${encodeURIComponent(id)}`, { waitUntil: 'networkidle', timeout: 45000 });\nawait p2.waitForTimeout(900);\nawait p2.screenshot({ path: '/tmp/vp-shots/z-estim-desktop.png' });\nawait ctx2.close();\nawait b.close();\nconsole.log('ok');\nEOF\nnode vp-shot2.tmp.mjs","description":"Detail screenshots: hero, menu, search dropdown, chart touch, estimation desktop","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1116,"cache_read_input_tokens":230236,"cache_creation":{"ephemeral_5m_input_tokens":1116,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bd8e2204-6ce7-48ec-bd8a-a1af90218033","request_id":"req_011CeQAd5nmtMwpibSt9wN1i"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nnode:internal/modules/run_main:107\n    triggerUncaughtException(\n    ^\n\nlocator.fill: Error: Input of type \"checkbox\" cannot be filled\nCall log:\n  - waiting for locator('input[aria-label]').first()\n    - locator resolved to <input id=\"vp-menu\" type=\"checkbox\" aria-label=\"Menu\" class=\"peer sr-only\"/>\n    - fill(\"1075 chemin sainte\")\n  - attempting fill action\n    - waiting for element to be visible, enabled and editable\n\n    at /Users/simon-pierreboucher/apps/vrai-prix/vp-shot2.tmp.mjs:16:49 {\n  log: [\n    \"  - waiting for locator('input[aria-label]').first()\",\n    '    - locator resolved to <input id=\"vp-menu\" type=\"checkbox\" aria-label=\"Menu\" class=\"peer sr-only\"/>',\n    '    - fill(\"1075 chemin sainte\")',\n    '  - attempting fill action',\n    '    - waiting for element to be visible, enabled and editable'\n  ]\n}\n\nNode.js v26.3.0","is_error":true,"tool_use_id":"toolu_01H4XEsi2W5h9fitMR1s6yXc"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5b18adc0-3013-44be-ad19-2f1a7f2bac89","timestamp":"2026-08-25T21:21:10.251Z","tool_use_result":"Error: Exit code 1\nnode:internal/modules/run_main:107\n    triggerUncaughtException(\n    ^\n\nlocator.fill: Error: Input of type \"checkbox\" cannot be filled\nCall log:\n  - waiting for locator('input[aria-label]').first()\n    - locator resolved to <input id=\"vp-menu\" type=\"checkbox\" aria-label=\"Menu\" class=\"peer sr-only\"/>\n    - fill(\"1075 chemin sainte\")\n  - attempting fill action\n    - waiting for element to be visible, enabled and editable\n\n    at /Users/simon-pierreboucher/apps/vrai-prix/vp-shot2.tmp.mjs:16:49 {\n  log: [\n    \"  - waiting for locator('input[aria-label]').first()\",\n    '    - locator resolved to <input id=\"vp-menu\" type=\"checkbox\" aria-label=\"Menu\" class=\"peer sr-only\"/>',\n    '    - fill(\"1075 chemin sainte\")',\n    '  - attempting fill action',\n    '    - waiting for element to be visible, enabled and editable'\n  ]\n}\n\nNode.js v26.3.0"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1f5ceea3-f063-46d9-89c3-27057429a71e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAekDqpF3rhoMe1YMGA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RCbTa9ANQt1tsWUrxvXncd","name":"Bash","input":{"command":"perl -pi -e \"s/page.locator\\\\('input\\\\[aria-label\\\\]'\\\\).first\\\\(\\\\)/page.locator('input[type=text], input:not([type])').first()/\" vp-shot2.tmp.mjs && node vp-shot2.tmp.mjs","description":"Fix selector and rerun detail screenshots","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1790,"cache_read_input_tokens":231352,"cache_creation":{"ephemeral_5m_input_tokens":1790,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a0ebb34b-96ea-4c79-84b1-a68b4415da93","request_id":"req_011CeQAehE1mf5zojRpVGdmE"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b1meu1obv","tool_use_id":"toolu_01RCbTa9ANQt1tsWUrxvXncd","description":"Fix selector and rerun detail screenshots","task_type":"local_bash","uuid":"47846f48-696f-4d34-8358-1120f21b12f7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b1meu1obv","tool_use_id":"toolu_01RCbTa9ANQt1tsWUrxvXncd","status":"completed","output_file":"","summary":"Fix selector and rerun detail screenshots","uuid":"e9657f92-3c47-4c1a-878c-676026e1c92c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RCbTa9ANQt1tsWUrxvXncd","type":"tool_result","content":"ok","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"860493be-97e2-4808-9c6b-bea980a4bfd2","timestamp":"2026-08-25T21:21:23.759Z","tool_use_result":{"stdout":"ok","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5e916036-9b5e-4e74-ad22-a2cbac93d500","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAfjJJovXwBwsA1Tuwi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011xmdQF6Yvda6jTWNnLM5xc","name":"Read","input":{"file_path":"/tmp/vp-shots/z-hero-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":204,"cache_read_input_tokens":233142,"cache_creation":{"ephemeral_5m_input_tokens":204,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"32f705cc-6712-4ad5-b9c9-fe18d178ad75","request_id":"req_011CeQAfgsxdqfLbJmpwCRyH"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011xmdQF6Yvda6jTWNnLM5xc","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"93fb23aa-ba31-473d-a389-6d803df0b7f1","timestamp":"2026-08-25T21:21:27.362Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":181194,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAfjJJovXwBwsA1Tuwi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017mSX7dXy69pEzV2gRhqpSk","name":"Read","input":{"file_path":"/tmp/vp-shots/z-chart-touch-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":204,"cache_read_input_tokens":233142,"cache_creation":{"ephemeral_5m_input_tokens":204,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d92bce3f-8978-4aa7-aa32-4db7e5cc6a32","request_id":"req_011CeQAfgsxdqfLbJmpwCRyH"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017mSX7dXy69pEzV2gRhqpSk","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f653ed17-0c35-4c18-af0b-c662873d7346","timestamp":"2026-08-25T21:21:27.723Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":359668,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5c89912c-0f3d-447d-b5fb-0a6e2c06f32b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"8353c942-f08d-44ba-b5ff-f2657fa79a4f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"0bbee66f-65a2-4da1-a9ba-d12d977ab74f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"f4e60466-a02d-4ecc-980a-4364957a7b55","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"2628d762-490b-4bc3-ab63-2189f579dcce","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"97060525-1ec7-47b3-8994-3a313b819f49","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"801db0ac-d86b-45b0-9bbe-4d162d4ed673","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":50,"uuid":"4f2acb37-b4ed-43fe-9426-05b041e22025","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":100,"uuid":"46295d8e-167a-43a1-8e3e-8e273a441da2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"6af8b998-324b-4637-881a-055cc129d857","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":50,"uuid":"f58603fc-6335-4147-b7d1-d8cb8613570f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":100,"uuid":"82ce8a00-adbc-4c51-9401-eb8ff1f2d450","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":100,"uuid":"e1aee5f4-7534-4388-aa73-dff6817fc858","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":50,"uuid":"38c97e0f-2860-4891-ae05-51ec81d44549","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2efbb071-4e91-4488-9adc-66a95bc8e6e4","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"224f8278-b076-4da0-8ff6-3fcb414deb08","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016LKyXD9REtVGvybybn23hn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","old_string":"          placeholder={placeholder ?? t(\"searchPlaceholder\")}\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }","new_string":"          placeholder={\n            placeholder ?? (hero ? (fr ? \"ex. 861 route Elgin\" : \"e.g. 861 route Elgin\") : t(\"searchPlaceholder\"))\n          }\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"81e9f227-65f9-43d3-955b-1a976ce8d50d","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016LKyXD9REtVGvybybn23hn","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0184743d-4608-4b6a-ae99-c2eaef5a5b36","timestamp":"2026-08-25T21:21:56.166Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","oldString":"          placeholder={placeholder ?? t(\"searchPlaceholder\")}\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }","newString":"          placeholder={\n            placeholder ?? (hero ? (fr ? \"ex. 861 route Elgin\" : \"e.g. 861 route Elgin\") : t(\"searchPlaceholder\"))\n          }\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useRef, useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nexport interface Suggestion {\n  id: string;\n  adresse: string | null;\n  apt: string | null;\n  municipalite: string | null;\n  typeProp: string;\n}\n\nexport default function SearchBox({\n  onPick,\n  placeholder,\n  variant = \"default\",\n}: {\n  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n  onPick?: (s: Suggestion) => void;\n  placeholder?: string;\n  /** « hero » : grand champ sur aplat encre (page d'accueil). */\n  variant?: \"default\" | \"hero\";\n}) {\n  const { t, lang } = useLang();\n  const fr = lang === \"fr\";\n  const router = useRouter();\n  const [q, setQ] = useState(\"\");\n  const [sugg, setSugg] = useState<Suggestion[]>([]);\n  const [open, setOpen] = useState(false);\n  const [searched, setSearched] = useState(false);\n  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n  const input = useRef<HTMLInputElement>(null);\n\n  const onChange = (value: string) => {\n    setQ(value);\n    if (timer.current) clearTimeout(timer.current);\n    if (value.trim().length < 3) {\n      setSugg([]);\n      setSearched(false);\n      return;\n    }\n    timer.current = setTimeout(async () => {\n      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n      const data = (await res.json()) as { results: Suggestion[] };\n      setSugg(data.results);\n      setSearched(true);\n      setOpen(true);\n    }, 200);\n  };\n\n  const pick = (s: Suggestion) => {\n    if (onPick) {\n      onPick(s);\n      setQ(\"\");\n      setSugg([]);\n      setSearched(false);\n    } else {\n      router.push(`/estimation/${s.id}`);\n    }\n  };\n\n  const hero = variant === \"hero\";\n\n  return (\n    <div className=\"relative w-full\">\n      <div className={hero ? \"flex items-stretch gap-0\" : undefined}>\n        <input\n          ref={input}\n          value={q}\n          onChange={(e) => onChange(e.target.value)}\n          onFocus={() => setOpen(true)}\n          onBlur={() => setTimeout(() => setOpen(false), 200)}\n          placeholder={placeholder ?? t(\"searchPlaceholder\")}\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }\n          aria-label={placeholder ?? t(\"searchPlaceholder\")}\n        />\n        {hero && (\n          <button\n            type=\"button\"\n            aria-label={fr ? \"Estimer cette adresse\" : \"Estimate this address\"}\n            onMouseDown={(e) => {\n              // mousedown : devance le blur de l'input (sinon le menu se ferme avant)\n              e.preventDefault();\n              if (sugg.length > 0) pick(sugg[0]);\n              else input.current?.focus();\n            }}\n            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"\n          >\n            {fr ? \"Estimer\" : \"Estimate\"}\n            <span aria-hidden=\"true\">→</span>\n          </button>\n        )}\n      </div>\n      {open && sugg.length > 0 && (\n        <ul\n          className={`absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[2px] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] shadow-[0_14px_40px_rgba(0,0,0,0.5)]\"\n              : \"border border-[var(--line-strong)] bg-surface shadow-[0_10px_30px_rgba(20,24,20,0.14)]\"\n          }`}\n        >\n          {sugg.map((s, i) => (\n            <li\n              key={s.id}\n              className={\n                hero\n                  ? \"border-b border-[rgba(245,243,238,0.1)] last:border-0\"\n                  : \"border-b border-[rgba(20,24,20,0.08)] last:border-0\"\n              }\n            >\n              <button\n                className={`flex w-full items-baseline justify-between gap-3 px-4 py-3 text-left transition-colors ${\n                  hero ? \"hover:bg-[rgba(245,243,238,0.08)]\" : \"hover:bg-surface-2\"\n                }`}\n                onMouseDown={() => pick(s)}\n              >\n                <span className=\"flex min-w-0 items-baseline gap-2.5\">\n                  <span\n                    className={`vp-mono shrink-0 text-[10px] ${\n                      hero ? \"text-[var(--accent-bright)]\" : \"text-accent\"\n                    }`}\n                  >\n                    {String(i + 1).padStart(2, \"0\")}\n                  </span>\n                  <span\n                    className={`vp-display truncate font-bold ${\n                      hero ? \"text-[var(--paper-on-ink)]\" : \"\"\n                    }`}\n                  >\n                    {s.adresse}\n                    {s.apt ? ` app. ${s.apt}` : \"\"}\n                  </span>\n                </span>\n                <span\n                  className={`vp-mono shrink-0 text-[10.5px] uppercase tracking-[0.05em] ${\n                    hero ? \"text-[rgba(245,243,238,0.55)]\" : \"text-ink-3\"\n                  }`}\n                >\n                  {s.municipalite}\n                </span>\n              </button>\n            </li>\n          ))}\n        </ul>\n      )}\n      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n        <div\n          className={`vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[2px] px-4 py-3 text-[12px] uppercase tracking-[0.04em] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] text-[rgba(245,243,238,0.7)]\"\n              : \"border border-[var(--line-strong)] bg-surface text-ink-2\"\n          }`}\n        >\n          {t(\"searchNoResult\")}\n        </div>\n      )}\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":72,"oldLines":7,"newStart":72,"newLines":9,"lines":["           onChange={(e) => onChange(e.target.value)}","           onFocus={() => setOpen(true)}","           onBlur={() => setTimeout(() => setOpen(false), 200)}","-          placeholder={placeholder ?? t(\"searchPlaceholder\")}","+          placeholder={","+            placeholder ?? (hero ? (fr ? \"ex. 861 route Elgin\" : \"e.g. 861 route Elgin\") : t(\"searchPlaceholder\"))","+          }","           className={","             hero","               ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\""]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019CJnZCofoQnE8A7pfqvUdc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","old_string":"            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"","new_string":"            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-4 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7c895af6-1a8b-4fe1-9098-8142da16eb97","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019CJnZCofoQnE8A7pfqvUdc","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"0c929692-9422-468b-853e-549875320ec8","timestamp":"2026-08-25T21:21:58.981Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/SearchBox.tsx","oldString":"            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"","newString":"            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-4 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport { useRef, useState } from \"react\";\nimport { useRouter } from \"next/navigation\";\nimport { useLang } from \"./LangContext\";\n\nexport interface Suggestion {\n  id: string;\n  adresse: string | null;\n  apt: string | null;\n  municipalite: string | null;\n  typeProp: string;\n}\n\nexport default function SearchBox({\n  onPick,\n  placeholder,\n  variant = \"default\",\n}: {\n  /** Si fourni : appelé au choix d'une adresse (le champ se vide) au lieu de naviguer. */\n  onPick?: (s: Suggestion) => void;\n  placeholder?: string;\n  /** « hero » : grand champ sur aplat encre (page d'accueil). */\n  variant?: \"default\" | \"hero\";\n}) {\n  const { t, lang } = useLang();\n  const fr = lang === \"fr\";\n  const router = useRouter();\n  const [q, setQ] = useState(\"\");\n  const [sugg, setSugg] = useState<Suggestion[]>([]);\n  const [open, setOpen] = useState(false);\n  const [searched, setSearched] = useState(false);\n  const timer = useRef<ReturnType<typeof setTimeout> | null>(null);\n  const input = useRef<HTMLInputElement>(null);\n\n  const onChange = (value: string) => {\n    setQ(value);\n    if (timer.current) clearTimeout(timer.current);\n    if (value.trim().length < 3) {\n      setSugg([]);\n      setSearched(false);\n      return;\n    }\n    timer.current = setTimeout(async () => {\n      const res = await fetch(`/api/search?q=${encodeURIComponent(value)}`);\n      const data = (await res.json()) as { results: Suggestion[] };\n      setSugg(data.results);\n      setSearched(true);\n      setOpen(true);\n    }, 200);\n  };\n\n  const pick = (s: Suggestion) => {\n    if (onPick) {\n      onPick(s);\n      setQ(\"\");\n      setSugg([]);\n      setSearched(false);\n    } else {\n      router.push(`/estimation/${s.id}`);\n    }\n  };\n\n  const hero = variant === \"hero\";\n\n  return (\n    <div className=\"relative w-full\">\n      <div className={hero ? \"flex items-stretch gap-0\" : undefined}>\n        <input\n          ref={input}\n          value={q}\n          onChange={(e) => onChange(e.target.value)}\n          onFocus={() => setOpen(true)}\n          onBlur={() => setTimeout(() => setOpen(false), 200)}\n          placeholder={\n            placeholder ?? (hero ? (fr ? \"ex. 861 route Elgin\" : \"e.g. 861 route Elgin\") : t(\"searchPlaceholder\"))\n          }\n          className={\n            hero\n              ? \"min-h-[56px] w-full min-w-0 flex-1 border-0 border-b border-[rgba(245,243,238,0.45)] bg-transparent px-1 py-3 text-[16px] text-[var(--paper-on-ink)] outline-none transition-colors placeholder:text-[rgba(245,243,238,0.45)] focus:border-[var(--accent-bright)] sm:text-[19px]\"\n              : \"vp-input text-base\"\n          }\n          aria-label={placeholder ?? t(\"searchPlaceholder\")}\n        />\n        {hero && (\n          <button\n            type=\"button\"\n            aria-label={fr ? \"Estimer cette adresse\" : \"Estimate this address\"}\n            onMouseDown={(e) => {\n              // mousedown : devance le blur de l'input (sinon le menu se ferme avant)\n              e.preventDefault();\n              if (sugg.length > 0) pick(sugg[0]);\n              else input.current?.focus();\n            }}\n            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"\n          >\n            {fr ? \"Estimer\" : \"Estimate\"}\n            <span aria-hidden=\"true\">→</span>\n          </button>\n        )}\n      </div>\n      {open && sugg.length > 0 && (\n        <ul\n          className={`absolute z-[var(--z-dropdown,700)] mt-2 w-full overflow-hidden rounded-[2px] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] shadow-[0_14px_40px_rgba(0,0,0,0.5)]\"\n              : \"border border-[var(--line-strong)] bg-surface shadow-[0_10px_30px_rgba(20,24,20,0.14)]\"\n          }`}\n        >\n          {sugg.map((s, i) => (\n            <li\n              key={s.id}\n              className={\n                hero\n                  ? \"border-b border-[rgba(245,243,238,0.1)] last:border-0\"\n                  : \"border-b border-[rgba(20,24,20,0.08)] last:border-0\"\n              }\n            >\n              <button\n                className={`flex w-full items-baseline justify-between gap-3 px-4 py-3 text-left transition-colors ${\n                  hero ? \"hover:bg-[rgba(245,243,238,0.08)]\" : \"hover:bg-surface-2\"\n                }`}\n                onMouseDown={() => pick(s)}\n              >\n                <span className=\"flex min-w-0 items-baseline gap-2.5\">\n                  <span\n                    className={`vp-mono shrink-0 text-[10px] ${\n                      hero ? \"text-[var(--accent-bright)]\" : \"text-accent\"\n                    }`}\n                  >\n                    {String(i + 1).padStart(2, \"0\")}\n                  </span>\n                  <span\n                    className={`vp-display truncate font-bold ${\n                      hero ? \"text-[var(--paper-on-ink)]\" : \"\"\n                    }`}\n                  >\n                    {s.adresse}\n                    {s.apt ? ` app. ${s.apt}` : \"\"}\n                  </span>\n                </span>\n                <span\n                  className={`vp-mono shrink-0 text-[10.5px] uppercase tracking-[0.05em] ${\n                    hero ? \"text-[rgba(245,243,238,0.55)]\" : \"text-ink-3\"\n                  }`}\n                >\n                  {s.municipalite}\n                </span>\n              </button>\n            </li>\n          ))}\n        </ul>\n      )}\n      {open && searched && sugg.length === 0 && q.trim().length >= 3 && (\n        <div\n          className={`vp-mono absolute z-[var(--z-dropdown,700)] mt-2 w-full rounded-[2px] px-4 py-3 text-[12px] uppercase tracking-[0.04em] ${\n            hero\n              ? \"border border-[rgba(245,243,238,0.25)] bg-[var(--ink-deep)] text-[rgba(245,243,238,0.7)]\"\n              : \"border border-[var(--line-strong)] bg-surface text-ink-2\"\n          }`}\n        >\n          {t(\"searchNoResult\")}\n        </div>\n      )}\n    </div>\n  );\n}\n","structuredPatch":[{"oldStart":92,"oldLines":7,"newStart":92,"newLines":7,"lines":["               if (sugg.length > 0) pick(sugg[0]);","               else input.current?.focus();","             }}","-            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-5 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"","+            className=\"vp-display -mb-px flex min-h-[56px] shrink-0 items-center gap-2 self-end bg-[var(--accent-bright)] px-4 text-[14px] font-bold text-ink transition-colors hover:bg-[#ff6b63] sm:px-7 sm:text-[15px]\"","           >","             {fr ? \"Estimer\" : \"Estimate\"}","             <span aria-hidden=\"true\">→</span>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Wi7VHBoboEMQ8ZTBMGGXNf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","old_string":"        {/* fins de ligne : point + étiquette directe (série + valeur) */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            {labelYs[k] !== y(e.v) && (\n              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n            )}\n            <text\n              x={x(e.i) - 8}\n              y={labelYs[k] + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10.5\"\n              fontWeight=\"700\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink)\"\n              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n            >\n              {e.s.label} · {Math.round(e.v)}\n            </text>\n          </g>\n        ))}","new_string":"        {/* fins de ligne : point + étiquette directe (série + valeur).\n            Étiquettes masquées en mobile (SVG trop réduit) : la légende et les\n            colonnes de lecture sous le graphique portent alors l'identité. */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            <g className=\"hidden sm:block\">\n              {labelYs[k] !== y(e.v) && (\n                <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n              )}\n              <text\n                x={x(e.i) - 8}\n                y={labelYs[k] + 3.5}\n                textAnchor=\"end\"\n                fontSize=\"10.5\"\n                fontWeight=\"700\"\n                fontFamily=\"var(--font-jetbrains)\"\n                fill=\"var(--ink)\"\n                style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n              >\n                {e.s.label} · {Math.round(e.v)}\n              </text>\n            </g>\n          </g>\n        ))}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7b6c730b-4daf-42b5-85c8-4148f035ecf4","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wi7VHBoboEMQ8ZTBMGGXNf","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4ede45a4-9a1a-49f3-99ab-bfd1ff9ba390","timestamp":"2026-08-25T21:22:06.756Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","oldString":"        {/* fins de ligne : point + étiquette directe (série + valeur) */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            {labelYs[k] !== y(e.v) && (\n              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n            )}\n            <text\n              x={x(e.i) - 8}\n              y={labelYs[k] + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10.5\"\n              fontWeight=\"700\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink)\"\n              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n            >\n              {e.s.label} · {Math.round(e.v)}\n            </text>\n          </g>\n        ))}","newString":"        {/* fins de ligne : point + étiquette directe (série + valeur).\n            Étiquettes masquées en mobile (SVG trop réduit) : la légende et les\n            colonnes de lecture sous le graphique portent alors l'identité. */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            <g className=\"hidden sm:block\">\n              {labelYs[k] !== y(e.v) && (\n                <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n              )}\n              <text\n                x={x(e.i) - 8}\n                y={labelYs[k] + 3.5}\n                textAnchor=\"end\"\n                fontSize=\"10.5\"\n                fontWeight=\"700\"\n                fontFamily=\"var(--font-jetbrains)\"\n                fill=\"var(--ink)\"\n                style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n              >\n                {e.s.label} · {Math.round(e.v)}\n              </text>\n            </g>\n          </g>\n        ))}","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur) */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            {labelYs[k] !== y(e.v) && (\n              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n            )}\n            <text\n              x={x(e.i) - 8}\n              y={labelYs[k] + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10.5\"\n              fontWeight=\"700\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink)\"\n              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n            >\n              {e.s.label} · {Math.round(e.v)}\n            </text>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","structuredPatch":[{"oldStart":709,"oldLines":25,"newStart":709,"newLines":29,"lines":["               <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />","             ) : null","           )}","-        {/* fins de ligne : point + étiquette directe (série + valeur) */}","+        {/* fins de ligne : point + étiquette directe (série + valeur).","+            Étiquettes masquées en mobile (SVG trop réduit) : la légende et les","+            colonnes de lecture sous le graphique portent alors l'identité. */}","         {ends.map((e, k) => (","           <g key={e.s.key}>","             <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />","-            {labelYs[k] !== y(e.v) && (","-              <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />","-            )}","-            <text","-              x={x(e.i) - 8}","-              y={labelYs[k] + 3.5}","-              textAnchor=\"end\"","-              fontSize=\"10.5\"","-              fontWeight=\"700\"","-              fontFamily=\"var(--font-jetbrains)\"","-              fill=\"var(--ink)\"","-              style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}","-            >","-              {e.s.label} · {Math.round(e.v)}","-            </text>","+            <g className=\"hidden sm:block\">","+              {labelYs[k] !== y(e.v) && (","+                <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />","+              )}","+              <text","+                x={x(e.i) - 8}","+                y={labelYs[k] + 3.5}","+                textAnchor=\"end\"","+                fontSize=\"10.5\"","+                fontWeight=\"700\"","+                fontFamily=\"var(--font-jetbrains)\"","+                fill=\"var(--ink)\"","+                style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}","+              >","+                {e.s.label} · {Math.round(e.v)}","+              </text>","+            </g>","           </g>","         ))}","       </svg>"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KTosS1AQ34gd7MsNDc7gsn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","old_string":"        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}","new_string":"        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"635e8d20-bcff-43ac-897a-3d8645ee6fd0","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KTosS1AQ34gd7MsNDc7gsn","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ac85e6f3-460c-4a18-8c47-27ce529326aa","timestamp":"2026-08-25T21:22:08.876Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","oldString":"        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}","newString":"        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur).\n            Étiquettes masquées en mobile (SVG trop réduit) : la légende et les\n            colonnes de lecture sous le graphique portent alors l'identité. */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            <g className=\"hidden sm:block\">\n              {labelYs[k] !== y(e.v) && (\n                <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n              )}\n              <text\n                x={x(e.i) - 8}\n                y={labelYs[k] + 3.5}\n                textAnchor=\"end\"\n                fontSize=\"10.5\"\n                fontWeight=\"700\"\n                fontFamily=\"var(--font-jetbrains)\"\n                fill=\"var(--ink)\"\n                style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n              >\n                {e.s.label} · {Math.round(e.v)}\n              </text>\n            </g>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","structuredPatch":[{"oldStart":663,"oldLines":6,"newStart":663,"newLines":7,"lines":["             ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`","             : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`","         }","+        onPointerDown={(e) => onMove(e.clientX)}","         onPointerMove={(e) => onMove(e.clientX)}","         onPointerLeave={() => setHi(null)}","       >"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAg2e6TgYqvWnw7FDWw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013Sp5xH1bvgywh9uFe1GziF","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","old_string":"        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (","new_string":"        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => ("},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":3618,"cache_read_input_tokens":233346,"cache_creation":{"ephemeral_5m_input_tokens":3618,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"eaf1ed08-0abc-4bd8-9b36-07c411047f49","request_id":"req_011CeQAfyuPduvpUFSrpdDzq"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Sp5xH1bvgywh9uFe1GziF","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8ba726a7-801b-4de9-a5d8-c5853685bbde","timestamp":"2026-08-25T21:22:10.762Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","oldString":"        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (","newString":"        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur).\n            Étiquettes masquées en mobile (SVG trop réduit) : la légende et les\n            colonnes de lecture sous le graphique portent alors l'identité. */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            <g className=\"hidden sm:block\">\n              {labelYs[k] !== y(e.v) && (\n                <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n              )}\n              <text\n                x={x(e.i) - 8}\n                y={labelYs[k] + 3.5}\n                textAnchor=\"end\"\n                fontSize=\"10.5\"\n                fontWeight=\"700\"\n                fontFamily=\"var(--font-jetbrains)\"\n                fill=\"var(--ink)\"\n                style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n              >\n                {e.s.label} · {Math.round(e.v)}\n              </text>\n            </g>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","structuredPatch":[{"oldStart":818,"oldLines":6,"newStart":818,"newLines":7,"lines":["             ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`","             : `Market index ${series[0].month} to ${series[series.length - 1].month}`","         }","+        onPointerDown={(e) => onMove(e.clientX)}","         onPointerMove={(e) => onMove(e.clientX)}","         onPointerLeave={() => setHi(null)}","       >"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f85f29fa-1709-477b-9ae2-abf8182bc3b1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAjCy33WXjnZXZv56WM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012yZUx7h5M2sSWmN6QgY6yF","name":"Read","input":{"file_path":"/tmp/vp-shots/z-menu-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4550,"cache_read_input_tokens":236964,"cache_creation":{"ephemeral_5m_input_tokens":4550,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f4c0aa71-7dab-4660-aa23-fb65fe891e79","request_id":"req_011CeQAjA4QqqqSaJB8cHQ3q"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012yZUx7h5M2sSWmN6QgY6yF","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"007703df-6060-452d-a31c-68404fd97f3c","timestamp":"2026-08-25T21:22:14.919Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":66395,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAjCy33WXjnZXZv56WM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KeybShkY8ycHGDtVxoZZ7v","name":"Read","input":{"file_path":"/tmp/vp-shots/z-search-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4550,"cache_read_input_tokens":236964,"cache_creation":{"ephemeral_5m_input_tokens":4550,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c942df25-23f4-4ee0-9667-93578a17af03","request_id":"req_011CeQAjA4QqqqSaJB8cHQ3q"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KeybShkY8ycHGDtVxoZZ7v","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"287ef47a-66ec-4c0d-ba7a-bb35ea2cf012","timestamp":"2026-08-25T21:22:15.162Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":174821,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7cd0d8a4-79f7-4110-9945-6b25a1a106c2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"cc610541-d2f2-44cb-8074-132ecaefbac6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"6f80e004-bf78-4a75-acdd-9aad553404f6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"1ea4e145-c750-4d08-90db-99ff84704fe1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAjXdhS6Vfmxf4EMFwp","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3614,"cache_read_input_tokens":241514,"cache_creation":{"ephemeral_5m_input_tokens":3614,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2c9a5a17-3e93-43b4-8912-3c67c4ebc70c","request_id":"req_011CeQAjUkomdb7KTGpzVCn8"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAjXdhS6Vfmxf4EMFwp","type":"message","role":"assistant","content":[{"type":"text","text":"Menu et dropdown impeccables. Je rebuild avec les correctifs et je revérifie les deux zones :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3614,"cache_read_input_tokens":241514,"cache_creation":{"ephemeral_5m_input_tokens":3614,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"20c9fe34-1983-45b5-a5ec-ec2f430118f7","request_id":"req_011CeQAjUkomdb7KTGpzVCn8"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAjXdhS6Vfmxf4EMFwp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XLDXjysSgpB74NSBVhJyF","name":"Bash","input":{"command":"npm run build 2>&1 | grep -E \"error|Failed|✓ Compiled|✓ Generating\" | head; kill %1 2>/dev/null; sleep 1; PORT=3999 npx next start -p 3999 >/tmp/vp-test.log 2>&1 & sleep 4; curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:3999/","description":"Rebuild and restart test server","timeout":420000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3614,"cache_read_input_tokens":241514,"cache_creation":{"ephemeral_5m_input_tokens":3614,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"724aa427-ff12-4c82-8aa9-5fe9f207e762","request_id":"req_011CeQAjUkomdb7KTGpzVCn8"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bq76yi33l","tool_use_id":"toolu_018XLDXjysSgpB74NSBVhJyF","description":"Rebuild and restart test server","task_type":"local_bash","uuid":"b5602086-5a3e-4b54-84d8-d158b9e757d9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bq76yi33l","tool_use_id":"toolu_018XLDXjysSgpB74NSBVhJyF","status":"completed","output_file":"","summary":"Rebuild and restart test server","uuid":"9beae7bc-1d3d-4212-b20f-ac217c54af67","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XLDXjysSgpB74NSBVhJyF","type":"tool_result","content":"✓ Compiled successfully in 743ms\n✓ Generating static pages using 27 workers (117/117) in 1268ms\n200","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1ad6a5ad-da5b-4ea6-8104-d0b89c2d388a","timestamp":"2026-08-25T21:22:36.131Z","tool_use_result":{"stdout":"✓ Compiled successfully in 743ms\n✓ Generating static pages using 27 workers (117/117) in 1268ms\n200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1c8ceccf-4938-4f47-8f41-eaecedd4ed2f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAm5B2wYBX2HULrq9Eq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012yWZM29VM5AkuaiAwJuWva","name":"Bash","input":{"command":"cat > vp-shot3.tmp.mjs <<'EOF'\nimport { chromium } from 'playwright';\nconst base = 'http://localhost:3999';\nconst b = await chromium.launch();\nconst ctx = await b.newContext({ viewport: { width: 390, height: 844 }, deviceScaleFactor: 2, hasTouch: true });\nconst page = await ctx.newPage();\nawait page.goto(base + '/', { waitUntil: 'networkidle', timeout: 45000 });\nawait page.waitForTimeout(600);\nawait page.screenshot({ path: '/tmp/vp-shots/z2-hero-mobile.png' });\nconst chart = page.locator('svg[role=\"img\"]').first();\nawait chart.scrollIntoViewIfNeeded();\nawait page.waitForTimeout(300);\nconst bb = await chart.boundingBox();\n// glisser sur le graphique (pointermove tactile)\nawait page.touchscreen.tap(bb.x + bb.width * 0.5, bb.y + bb.height * 0.45);\nawait page.waitForTimeout(300);\nawait page.screenshot({ path: '/tmp/vp-shots/z2-chart-mobile.png' });\nawait ctx.close();\nawait b.close();\nconsole.log('ok');\nEOF\nnode vp-shot3.tmp.mjs","description":"Re-screenshot hero and chart on mobile","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":567,"cache_read_input_tokens":245128,"cache_creation":{"ephemeral_5m_input_tokens":567,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"9578727f-ed77-4926-8d8a-7959270c75b1","request_id":"req_011CeQAm2W3ytFWe262D57vX"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012yWZM29VM5AkuaiAwJuWva","type":"tool_result","content":"ok","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3d4b4d7d-bc11-4890-a86b-6c0726993459","timestamp":"2026-08-25T21:22:46.828Z","tool_use_result":{"stdout":"ok","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2987e12a-2ddb-4ac4-978a-d3afb1ad09ae","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAmsAFrBBFougPA1Vmh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GHFjRDwBK6bjdcgK9Y3U91","name":"Read","input":{"file_path":"/tmp/vp-shots/z2-hero-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":555,"cache_read_input_tokens":245695,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4fea9d2b-eb45-4b21-b171-dab72aab6a9d","request_id":"req_011CeQAmp7wrw6tUSQ2U132Y"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GHFjRDwBK6bjdcgK9Y3U91","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"376f221f-54a1-4452-9319-8c27738f8dd2","timestamp":"2026-08-25T21:22:50.587Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":246081,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAmsAFrBBFougPA1Vmh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JxrVoEbTp3opZJmTrp7ubc","name":"Read","input":{"file_path":"/tmp/vp-shots/z2-chart-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":555,"cache_read_input_tokens":245695,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c1774477-7f12-49e0-87ce-2fedeac1a017","request_id":"req_011CeQAmp7wrw6tUSQ2U132Y"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JxrVoEbTp3opZJmTrp7ubc","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"99918e51-467b-418b-8074-a36b88f64df5","timestamp":"2026-08-25T21:22:50.936Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":160135,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"70005931-1822-4811-8cea-6d4f6f3dea4a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2d88174b-be7b-4700-afdc-25a38bd3c2ec","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"b29c3a5f-86c7-4c5f-b644-97ab5dc1419c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"4bc48c9c-a4e8-4844-8dd5-3d5fe4684e0a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":50,"uuid":"77e92df7-93fd-4371-9d70-6aa31480796b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"57efddad-028f-49e9-a6cd-979fe3fe18b3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAnBBTx8GxQ2TdGzRwr","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4020,"cache_read_input_tokens":246250,"cache_creation":{"ephemeral_5m_input_tokens":4020,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"443d3eb7-5a37-43d6-ab31-514684b2e69d","request_id":"req_011CeQAn7pJt6Av6NVgfsymu"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAnBBTx8GxQ2TdGzRwr","type":"message","role":"assistant","content":[{"type":"text","text":"Le CSS n'a pas chargé — l'ancien serveur de test tournait encore sur le port (hashes d'assets périmés). Je nettoie le port et je relance proprement :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4020,"cache_read_input_tokens":246250,"cache_creation":{"ephemeral_5m_input_tokens":4020,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2d3b04c9-36d1-4364-88fe-1f72ecf1d416","request_id":"req_011CeQAn7pJt6Av6NVgfsymu"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAnBBTx8GxQ2TdGzRwr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DxKAgMqQNP9Dxb5NbuSwf4","name":"Bash","input":{"command":"lsof -ti tcp:3999 | xargs kill -9 2>/dev/null; sleep 1; (PORT=3999 nohup npx next start -p 3999 >/tmp/vp-test.log 2>&1 &); sleep 4; curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:3999/ && node vp-shot3.tmp.mjs","description":"Kill stale server, restart, re-screenshot","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4020,"cache_read_input_tokens":246250,"cache_creation":{"ephemeral_5m_input_tokens":4020,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d371a882-ec74-4a34-9017-f492de142cd8","request_id":"req_011CeQAn7pJt6Av6NVgfsymu"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"brln79vf0","tool_use_id":"toolu_01DxKAgMqQNP9Dxb5NbuSwf4","description":"Kill stale server, restart, re-screenshot","task_type":"local_bash","uuid":"307f8212-c727-41e5-a97c-f53bdc721364","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"brln79vf0","tool_use_id":"toolu_01DxKAgMqQNP9Dxb5NbuSwf4","status":"completed","output_file":"","summary":"Kill stale server, restart, re-screenshot","uuid":"7a0c4a7e-7718-42a3-9cf0-e219a61a021a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DxKAgMqQNP9Dxb5NbuSwf4","type":"tool_result","content":"200\nok","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"dc1fa706-64ca-4f5c-8d84-fc517711b35e","timestamp":"2026-08-25T21:23:12.588Z","tool_use_result":{"stdout":"200\nok","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"450b8b9f-94fa-48b2-aede-829714d68a46","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAomkcpSkieYGhfwUz6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018BYYxqKc9d9FXkyLJH2n62","name":"Read","input":{"file_path":"/tmp/vp-shots/z2-hero-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":668,"cache_read_input_tokens":250270,"cache_creation":{"ephemeral_5m_input_tokens":668,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"5cffe893-7a27-4f9a-826f-e81961934bd2","request_id":"req_011CeQAoiDo8QNwGpkZA84i7"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018BYYxqKc9d9FXkyLJH2n62","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"68faa3f4-89f2-4233-9743-97d730d54cb5","timestamp":"2026-08-25T21:23:22.383Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":178380,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAomkcpSkieYGhfwUz6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012Zf5JefDJ7xURnf4D9GaLs","name":"Read","input":{"file_path":"/tmp/vp-shots/z2-chart-mobile.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":668,"cache_read_input_tokens":250270,"cache_creation":{"ephemeral_5m_input_tokens":668,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"74aa5179-9f18-4fb6-a285-4a4d62f5a162","request_id":"req_011CeQAoiDo8QNwGpkZA84i7"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Zf5JefDJ7xURnf4D9GaLs","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fe0ca44f-5d7a-42d6-83cb-e9ec05ff56e1","timestamp":"2026-08-25T21:23:22.692Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":356047,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"656f39f8-285a-48cc-9b28-e1fc98d215a0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"b39410c4-7281-440f-80a4-8984744f00f1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"cf343914-cc8a-4e5f-9b10-76c894a2020b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"7e516a03-01e2-458d-8ac5-6415b0e26118","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":244,"estimated_tokens_delta":44,"uuid":"470586e3-5fbc-4782-89d1-97dade95c15d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQApWvv9SqtikbwAMjtc","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3617,"cache_read_input_tokens":250938,"cache_creation":{"ephemeral_5m_input_tokens":3617,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"503786f3-1a72-4fcc-9e41-2ce0b4f3ab76","request_id":"req_011CeQApTa1om6HMvNZufbpD"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQApWvv9SqtikbwAMjtc","type":"message","role":"assistant","content":[{"type":"text","text":"Correctifs confirmés. Dernier contrôle : le rapport en desktop."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3617,"cache_read_input_tokens":250938,"cache_creation":{"ephemeral_5m_input_tokens":3617,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"df7b4d87-b1b6-416b-b4f0-dbfe11002cfa","request_id":"req_011CeQApTa1om6HMvNZufbpD"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQApWvv9SqtikbwAMjtc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GoDfGp49tMSvxySHFzbqqV","name":"Read","input":{"file_path":"/tmp/vp-shots/z-estim-desktop.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3617,"cache_read_input_tokens":250938,"cache_creation":{"ephemeral_5m_input_tokens":3617,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b80d6067-944f-495a-99d8-85264998b53f","request_id":"req_011CeQApTa1om6HMvNZufbpD"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GoDfGp49tMSvxySHFzbqqV","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/jpeg"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"32ce58b0-9c3f-44bf-8f62-4990e5af4825","timestamp":"2026-08-25T21:23:32.783Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/jpeg","originalSize":532704,"dimensions":{"originalWidth":2720,"originalHeight":1800,"displayWidth":2000,"displayHeight":1324}}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"[Image: original 2720x1800, displayed at 2000x1324. Multiply coordinates by 1.36 to map to original image.]"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a559e381-5b4b-4684-a284-fadceb9476eb","timestamp":"2026-08-25T21:23:32.783Z","isSynthetic":true}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c858a69e-6e07-4486-b712-65e55cf273dd","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"e916d125-80c3-4b9e-b00b-3b5b838002b2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"5276e780-4206-4c26-9baa-03c3b680508c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":50,"uuid":"e067ac2e-2606-4f8d-a36a-9714638cd1e5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"477f0ab1-5017-4a55-91f1-ab3881e64076","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"730830d5-fe64-4ee7-b001-bd96aca26246","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"f420f2bf-1511-416a-886c-03563399835b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAqGACK8g9uueNSZPjs","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3865,"cache_read_input_tokens":254555,"cache_creation":{"ephemeral_5m_input_tokens":3865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"63fbebab-9b9c-458d-b42a-67a8b8ebe86f","request_id":"req_011CeQAqCbP8TuRyQsiBiHhx"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAqGACK8g9uueNSZPjs","type":"message","role":"assistant","content":[{"type":"text","text":"Le rapport desktop est exactement le rendu visé. Nettoyage, tests, puis déploiement :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3865,"cache_read_input_tokens":254555,"cache_creation":{"ephemeral_5m_input_tokens":3865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e29d303e-17a4-4f95-91b7-ef332695a6ed","request_id":"req_011CeQAqCbP8TuRyQsiBiHhx"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAqGACK8g9uueNSZPjs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VoZwmezAAwPiuUeZNECU6M","name":"TaskUpdate","input":{"taskId":"9","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3865,"cache_read_input_tokens":254555,"cache_creation":{"ephemeral_5m_input_tokens":3865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ae668d29-565e-40b9-bbee-ee27d820c0f3","request_id":"req_011CeQAqCbP8TuRyQsiBiHhx"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VoZwmezAAwPiuUeZNECU6M","type":"tool_result","content":"Updated task #9 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"63e34f62-9799-4ac4-a479-7d538526a986","timestamp":"2026-08-25T21:23:49.352Z","tool_use_result":{"success":true,"taskId":"9","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAqGACK8g9uueNSZPjs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MzFcNoD2MoYW274Y3mnW7x","name":"TaskUpdate","input":{"taskId":"10","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3865,"cache_read_input_tokens":254555,"cache_creation":{"ephemeral_5m_input_tokens":3865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bf2e2661-d047-4fea-a972-b75ad5526cd7","request_id":"req_011CeQAqCbP8TuRyQsiBiHhx"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MzFcNoD2MoYW274Y3mnW7x","type":"tool_result","content":"Updated task #10 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"efdfacbc-aac4-4e06-824b-81cce947e9e9","timestamp":"2026-08-25T21:23:49.365Z","tool_use_result":{"success":true,"taskId":"10","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAqGACK8g9uueNSZPjs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rq59d1BmisCpTEdTMUU18i","name":"Bash","input":{"command":"rm -f vp-shot.tmp.mjs vp-shot2.tmp.mjs vp-shot3.tmp.mjs && lsof -ti tcp:3999 | xargs kill -9 2>/dev/null; npm test 2>&1 | tail -6 && npx eslint src --max-warnings 0 2>&1 | tail -8","description":"Clean temp scripts, stop test server, run vitest and eslint","timeout":240000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3865,"cache_read_input_tokens":254555,"cache_creation":{"ephemeral_5m_input_tokens":3865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"01485f76-697c-49e2-9018-58876e73da47","request_id":"req_011CeQAqCbP8TuRyQsiBiHhx"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bq02px9nx","tool_use_id":"toolu_01Rq59d1BmisCpTEdTMUU18i","description":"Clean temp scripts, stop test server, run vitest and eslint","task_type":"local_bash","uuid":"642fdeca-451a-449e-b852-326fb06c8b13","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bq02px9nx","tool_use_id":"toolu_01Rq59d1BmisCpTEdTMUU18i","status":"completed","output_file":"","summary":"Clean temp scripts, stop test server, run vitest and eslint","uuid":"b32400e8-91a5-49b2-851e-00d597c64c12","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rq59d1BmisCpTEdTMUU18i","type":"tool_result","content":" Test Files  1 passed (1)\n      Tests  15 passed (15)\n   Start at  17:23:51\n   Duration  133ms (transform 22ms, setup 0ms, import 28ms, tests 4ms, environment 0ms)\n\n> 461 |             const off = acc; acc += frac;\n      |                              ^^^ Cannot reassign `acc` after render completes\n  462 |             return (\n  463 |               <circle key={r.label} cx={100} cy={100} r={R} fill=\"none\"\n  464 |                 stroke=\"var(--accent)\" strokeOpacity={shades[i % shades.length]}  react-hooks/immutability\n\n✖ 5 problems (1 error, 4 warnings)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4921491e-0470-47b0-a4b2-72e1bfd4ea59","timestamp":"2026-08-25T21:23:56.108Z","tool_use_result":{"stdout":" Test Files  1 passed (1)\n      Tests  15 passed (15)\n   Start at  17:23:51\n   Duration  133ms (transform 22ms, setup 0ms, import 28ms, tests 4ms, environment 0ms)\n\n> 461 |             const off = acc; acc += frac;\n      |                              ^^^ Cannot reassign `acc` after render completes\n  462 |             return (\n  463 |               <circle key={r.label} cx={100} cy={100} r={R} fill=\"none\"\n  464 |                 stroke=\"var(--accent)\" strokeOpacity={shades[i % shades.length]}  react-hooks/immutability\n\n✖ 5 problems (1 error, 4 warnings)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"09affc1a-8d2f-4648-be3c-4324181472ff","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAryrUKPcCW4xF67RQ6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XX6TRWM5fkgxPHMmjtagpq","name":"Bash","input":{"command":"npx eslint src 2>&1 | grep -B2 -A2 \"error\\|warning\" | head -40","description":"Show full eslint problems with file names"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1170,"cache_read_input_tokens":258420,"cache_creation":{"ephemeral_5m_input_tokens":1170,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6655f306-1e56-4056-a9c7-2abb89a83fa1","request_id":"req_011CeQArvKtcCrYD3WAzSbtT"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bc92yytv2","tool_use_id":"toolu_01XX6TRWM5fkgxPHMmjtagpq","description":"Show full eslint problems with file names","task_type":"local_bash","uuid":"65f035fb-9f0c-4835-a22b-f69da07b940a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bc92yytv2","tool_use_id":"toolu_01XX6TRWM5fkgxPHMmjtagpq","status":"completed","output_file":"","summary":"Show full eslint problems with file names","uuid":"b2167db4-6aad-4b8b-ad34-66e88106f8a6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XX6TRWM5fkgxPHMmjtagpq","type":"tool_result","content":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/FavButton.tsx\n  87:7  warning  Do not use `window.location.href` to navigate to internal Next.js pages. Use `redirect()` in the render phase, or `useRouter().push()` in Client Components' event handlers instead. See: https://nextjs.org/docs/messages/no-location-assign-relative-destination  @next/next/no-location-assign-relative-destination\n  98:9  warning  Do not use `window.location.href` to navigate to internal Next.js pages. Use `redirect()` in the render phase, or `useRouter().push()` in Client Components' event handlers instead. See: https://nextjs.org/docs/messages/no-location-assign-relative-destination  @next/next/no-location-assign-relative-destination\n\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx\n  921:3  warning  'lang' is defined but never used  @typescript-eslint/no-unused-vars\n\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/stats/kacharts.tsx\n   88:6   warning  React Hook useMemo has a missing dependency: 'sp'. Either include it or remove the dependency array                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            react-hooks/exhaustive-deps\n  461:30  error    Error: Cannot reassign variable after render completes\n\nReassigning `acc` after render has completed can cause inconsistent behavior on subsequent renders. Consider using state instead.\n--\n  464 |                 stroke=\"var(--accent)\" strokeOpacity={shades[i % shades.length]}  react-hooks/immutability\n\n✖ 5 problems (1 error, 4 warnings)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1a3bdb1d-84d2-456b-bed4-69c09692e425","timestamp":"2026-08-25T21:24:03.763Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/FavButton.tsx\n  87:7  warning  Do not use `window.location.href` to navigate to internal Next.js pages. Use `redirect()` in the render phase, or `useRouter().push()` in Client Components' event handlers instead. See: https://nextjs.org/docs/messages/no-location-assign-relative-destination  @next/next/no-location-assign-relative-destination\n  98:9  warning  Do not use `window.location.href` to navigate to internal Next.js pages. Use `redirect()` in the render phase, or `useRouter().push()` in Client Components' event handlers instead. See: https://nextjs.org/docs/messages/no-location-assign-relative-destination  @next/next/no-location-assign-relative-destination\n\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx\n  921:3  warning  'lang' is defined but never used  @typescript-eslint/no-unused-vars\n\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/stats/kacharts.tsx\n   88:6   warning  React Hook useMemo has a missing dependency: 'sp'. Either include it or remove the dependency array                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            react-hooks/exhaustive-deps\n  461:30  error    Error: Cannot reassign variable after render completes\n\nReassigning `acc` after render has completed can cause inconsistent behavior on subsequent renders. Consider using state instead.\n--\n  464 |                 stroke=\"var(--accent)\" strokeOpacity={shades[i % shades.length]}  react-hooks/immutability\n\n✖ 5 problems (1 error, 4 warnings)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"829c354c-f07b-4d5b-a6ae-604ab8973453","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"69f60960-82e6-4425-bb5a-072688b4fb52","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"8b216c7f-ef0c-4b40-97bd-e640ff8ca13f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"dd3d34a9-9dad-4588-b735-734f29155ce2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":255,"estimated_tokens_delta":5,"uuid":"bfaa8711-37f2-46e6-bd3c-5e8a56d7b738","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAsYHMsSaXiAdLaTPJ3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":733,"cache_read_input_tokens":259590,"cache_creation":{"ephemeral_5m_input_tokens":733,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"67d3664d-45d7-4835-80fd-1ccdc7a73cf6","request_id":"req_011CeQAsVCpeYqEcPBkQhehE"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAsYHMsSaXiAdLaTPJ3","type":"message","role":"assistant","content":[{"type":"text","text":"Seule nouveauté à corriger : `lang` inutilisé dans PercentileBar (l'erreur `kacharts.tsx` et les warnings FavButton sont préexistants, code partagé ka-ui) :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":733,"cache_read_input_tokens":259590,"cache_creation":{"ephemeral_5m_input_tokens":733,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a1530c8f-55f8-4d72-8da9-769f4a5a29b4","request_id":"req_011CeQAsVCpeYqEcPBkQhehE"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAsYHMsSaXiAdLaTPJ3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014rr645T6Eu7ho6J3rQa6hZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","old_string":"export function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {","new_string":"export function PercentileBar({\n  pct,\n}: {\n  pct: number;\n  lang?: string;\n}) {"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":733,"cache_read_input_tokens":259590,"cache_creation":{"ephemeral_5m_input_tokens":733,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1344465d-ac08-46ab-bc3a-97402ef5e529","request_id":"req_011CeQAsVCpeYqEcPBkQhehE"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014rr645T6Eu7ho6J3rQa6hZ","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"13940d29-4ae1-44a1-b585-c0352c4e252b","timestamp":"2026-08-25T21:24:14.017Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/components/MetricViz.tsx","oldString":"export function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {","newString":"export function PercentileBar({\n  pct,\n}: {\n  pct: number;\n  lang?: string;\n}) {","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * MetricViz — visualisations signature générées par les données du registre.\n * Langage v2 « terminal éditorial » : lignes 2 px, grilles hairline pleines,\n * étiquettes directes sur les marques, point courant rouge signal, infobulles\n * crosshair au pointeur ET au toucher. SVG pur, aucun aléatoire : mêmes données,\n * même dessin. Palette séries validée (CVD 28,6 / contraste ≥ 3:1) :\n * encre #141814 · rouge #d8372e · gris #6b736d.\n */\n\"use client\";\nimport { useEffect, useRef, useState } from \"react\";\n\n/** Nombre localisé (« 1 206,6 » en FR, « 1,206.6 » en EN). */\nexport function locNum(\n  v: number | null | undefined,\n  lang: string,\n  opts?: { unit?: string; maxFrac?: number }\n): string {\n  if (v == null) return \"—\";\n  const s = v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n    maximumFractionDigits: opts?.maxFrac ?? 1,\n  });\n  return opts?.unit ? `${s} ${opts.unit}` : s;\n}\n\nconst MONTHS_FR = [\"janv.\", \"févr.\", \"mars\", \"avr.\", \"mai\", \"juin\", \"juil.\", \"août\", \"sept.\", \"oct.\", \"nov.\", \"déc.\"];\nconst MONTHS_EN = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"];\nfunction fmtMonth(month: string, lang: string): string {\n  const [y, m] = month.split(\"-\").map(Number);\n  const names = lang === \"fr\" ? MONTHS_FR : MONTHS_EN;\n  return `${names[(m ?? 1) - 1]} ${y}`;\n}\n\n/* ---------------------------- compteur animé ---------------------------- */\n/** Rendu serveur = valeur finale (jamais « 0 $ » à l'écran) ; anime 0 → valeur au montage. */\nexport function CountUp({\n  value,\n  format,\n  duration = 900,\n}: {\n  value: number;\n  format: (v: number) => string;\n  duration?: number;\n}) {\n  const [display, setDisplay] = useState(value);\n\n  useEffect(() => {\n    if (window.matchMedia(\"(prefers-reduced-motion: reduce)\").matches) return;\n    let raf = 0;\n    const t0 = performance.now();\n    const tick = (t: number) => {\n      const p = Math.min(1, (t - t0) / duration);\n      const eased = 1 - Math.pow(1 - p, 3);\n      setDisplay(value * eased);\n      if (p < 1) raf = requestAnimationFrame(tick);\n    };\n    raf = requestAnimationFrame(tick);\n    return () => cancelAnimationFrame(raf);\n  }, [value, duration]);\n\n  return <span>{format(display)}</span>;\n}\n\n/* --------------------------- jauge de confiance --------------------------- */\nexport function ConfidenceDial({\n  pct,\n  level,\n  label,\n}: {\n  pct: number;\n  level: \"A\" | \"B\" | \"C\" | \"D\";\n  label: string;\n}) {\n  const [mounted, setMounted] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setMounted(true), 60);\n    return () => clearTimeout(id);\n  }, []);\n  const R = 52;\n  const CIRC = Math.PI * R; // demi-cercle\n  const frac = mounted ? Math.max(0.02, Math.min(1, pct / 100)) : 0.02;\n  const color =\n    level === \"A\" || level === \"B\"\n      ? \"var(--ink)\"\n      : level === \"C\"\n        ? \"var(--amber)\"\n        : \"var(--danger)\";\n  return (\n    <div className=\"flex flex-col items-center\" aria-label={`${label} : ${level} ${pct} %`}>\n      <svg viewBox=\"0 0 128 78\" className=\"w-[124px]\">\n        <path d=\"M 12 66 A 52 52 0 0 1 116 66\" fill=\"none\" stroke=\"var(--line)\" strokeWidth=\"8\" strokeLinecap=\"butt\" />\n        <path\n          d=\"M 12 66 A 52 52 0 0 1 116 66\"\n          fill=\"none\"\n          stroke={color}\n          strokeWidth=\"8\"\n          strokeLinecap=\"butt\"\n          strokeDasharray={`${CIRC * frac} ${CIRC}`}\n          style={{ transition: \"stroke-dasharray 1s cubic-bezier(.2,.8,.2,1)\" }}\n        />\n        {/* graduations */}\n        {[0, 0.25, 0.5, 0.75, 1].map((g) => {\n          const a = Math.PI * (1 - g);\n          const x1 = 64 + Math.cos(a) * 42;\n          const y1 = 66 - Math.sin(a) * 42;\n          const x2 = 64 + Math.cos(a) * 46;\n          const y2 = 66 - Math.sin(a) * 46;\n          return <line key={g} x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.4\" />;\n        })}\n        {/* pointe de lecture — rouge signal */}\n        {(() => {\n          const a = Math.PI * (1 - Math.max(0.02, Math.min(1, pct / 100)));\n          const x1 = 64 + Math.cos(a) * 44;\n          const y1 = 66 - Math.sin(a) * 44;\n          const x2 = 64 + Math.cos(a) * 60;\n          const y2 = 66 - Math.sin(a) * 60;\n          return <line x1={x1} y1={y1} x2={x2} y2={y2} stroke=\"var(--accent)\" strokeWidth=\"2\" />;\n        })()}\n        <text x=\"64\" y=\"52\" textAnchor=\"middle\" fontSize=\"27\" fontWeight=\"700\" fill=\"var(--ink)\" fontFamily=\"var(--font-space-grotesk)\">\n          {level}\n        </text>\n        <text x=\"64\" y=\"70\" textAnchor=\"middle\" fontSize=\"10.5\" fontWeight=\"500\" fill=\"var(--ink-2)\" fontFamily=\"var(--font-jetbrains)\">\n          {pct} %\n        </text>\n      </svg>\n      <p className=\"klabel mt-1 max-w-[150px] text-center\">{label}</p>\n    </div>\n  );\n}\n\n/* --------------------------- façade de bâtiment --------------------------- */\n/** Terrain sans bâtiment : borne d'arpenteur et conifères, pas de fausse maison. */\nfunction VacantGlyph({ lang }: { lang: string }) {\n  const tree = (x: number, sc: number) => (\n    <g transform={`translate(${x}, 128) scale(${sc})`}>\n      <path d=\"M0,-46 L13,-14 L5,-14 L16,8 L-16,8 L-5,-14 L-13,-14 Z\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x=\"-2.5\" y=\"8\" width=\"5\" height=\"9\" fill=\"var(--ink)\" />\n    </g>\n  );\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain sans bâtiment\" : \"Vacant land\"}>\n      {tree(52, 1)}\n      {tree(96, 0.72)}\n      {tree(134, 0.9)}\n      {/* borne d'arpenteur */}\n      <g transform=\"translate(24, 128)\">\n        <rect x=\"-2.5\" y=\"-26\" width=\"5\" height=\"26\" fill=\"var(--ink)\" />\n        <rect x=\"-8\" y=\"-34\" width=\"16\" height=\"10\" fill=\"var(--accent)\" stroke=\"var(--ink)\" strokeWidth=\"1.4\" />\n      </g>\n      <line x1=\"8\" y1=\"145\" x2=\"182\" y2=\"145\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"120\" textAnchor=\"middle\" fontSize=\"9\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n        {lang === \"fr\" ? \"SANS BÂTIMENT\" : \"NO BUILDING\"}\n      </text>\n    </svg>\n  );\n}\n\n/** Façade dessinée à partir du registre : étages, logements, genre de construction.\n *  Sans bâtiment au registre (ni aire, ni année, ni étages) → borne d'arpenteur. */\nexport function BuildingGlyph({\n  floors,\n  dwellings,\n  genre,\n  yearBuilt,\n  floorAreaM2,\n  lang = \"fr\",\n}: {\n  floors: number | null;\n  dwellings: number | null;\n  genre: string | null;\n  yearBuilt: number | null;\n  floorAreaM2?: number | null;\n  lang?: string;\n}) {\n  if (!floorAreaM2 && !yearBuilt && !floors && !dwellings) {\n    return <VacantGlyph lang={lang} />;\n  }\n  const nF = Math.max(1, Math.min(6, Math.round(floors ?? 1)));\n  const nD = Math.max(1, Math.min(24, Math.round(dwellings ?? 1)));\n  const winPerFloor = Math.max(1, Math.min(4, Math.ceil(nD / nF)));\n  const W = 190;\n  const bw = 64 + winPerFloor * 18;\n  const bx = (W - bw) / 2;\n  const fh = 24;\n  const groundY = 128;\n  const bodyTop = groundY - nF * fh;\n  const mansard = (genre ?? \"\").toLowerCase().includes(\"mansard\");\n  const flat = (genre ?? \"\").toLowerCase().includes(\"plain-pied\") && nF === 1;\n\n  const windows: React.ReactNode[] = [];\n  for (let f = 0; f < nF; f++) {\n    for (let wi = 0; wi < winPerFloor; wi++) {\n      const idx = f * winPerFloor + wi;\n      windows.push(\n        <rect\n          key={`${f}-${wi}`}\n          x={bx + 14 + wi * ((bw - 28) / winPerFloor) + ((bw - 28) / winPerFloor - 12) / 2}\n          y={bodyTop + f * fh + 6}\n          width=\"12\"\n          height=\"11\"\n          fill={idx < nD ? \"var(--accent)\" : \"var(--surface-2)\"}\n          stroke=\"var(--ink)\"\n          strokeWidth=\"1\"\n          className=\"vv-win\"\n          style={{ animationDelay: `${idx * 60}ms` }}\n        />\n      );\n    }\n  }\n\n  return (\n    <svg viewBox={`0 0 ${W} 150`} className=\"w-full max-w-[210px]\" aria-label=\"Silhouette du bâtiment selon le registre\">\n      {/* soleil-repère */}\n      <circle cx={W - 22} cy=\"22\" r=\"9\" fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      <circle cx={W - 22} cy=\"22\" r=\"3\" fill=\"var(--accent)\" />\n      {/* corps */}\n      <rect x={bx} y={bodyTop} width={bw} height={nF * fh} fill=\"var(--surface)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* séparations d'étages */}\n      {Array.from({ length: nF - 1 }, (_, i) => (\n        <line key={i} x1={bx} y1={bodyTop + (i + 1) * fh} x2={bx + bw} y2={bodyTop + (i + 1) * fh} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.35\" />\n      ))}\n      {/* toit */}\n      {flat ? (\n        <rect x={bx - 6} y={bodyTop - 8} width={bw + 12} height=\"8\" fill=\"var(--ink)\" />\n      ) : mansard ? (\n        <path d={`M ${bx - 6} ${bodyTop} L ${bx + 10} ${bodyTop - 20} L ${bx + bw - 10} ${bodyTop - 20} L ${bx + bw + 6} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      ) : (\n        <path d={`M ${bx - 8} ${bodyTop} L ${bx + bw / 2} ${bodyTop - 24} L ${bx + bw + 8} ${bodyTop} Z`} fill=\"var(--ink)\" />\n      )}\n      {/* cheminée */}\n      <rect x={bx + bw - 22} y={bodyTop - (flat ? 20 : 30)} width=\"8\" height={flat ? 14 : 18} fill=\"var(--ink)\" />\n      {windows}\n      {/* porte */}\n      <rect x={bx + bw / 2 - 7} y={groundY - 17} width=\"14\" height=\"17\" fill=\"var(--ink)\" />\n      <circle cx={bx + bw / 2 + 3.5} cy={groundY - 8} r=\"1.4\" fill=\"var(--accent)\" />\n      {/* sol */}\n      <line x1=\"8\" y1={groundY} x2={W - 8} y2={groundY} stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      {/* millésime gravé */}\n      {yearBuilt && (\n        <text x={W / 2} y=\"146\" textAnchor=\"middle\" fontSize=\"10\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"2\">\n          ANNO {yearBuilt}\n        </text>\n      )}\n    </svg>\n  );\n}\n\n/* ----------------------------- schéma du terrain ----------------------------- */\n/** Terrain à l'échelle réelle : frontage × profondeur déduite de la superficie. */\nexport function LotDiagram({\n  areaM2,\n  frontageM,\n  footprintM2,\n  lang,\n  isCondo,\n}: {\n  areaM2: number | null;\n  frontageM: number | null;\n  footprintM2: number | null;\n  lang: string;\n  isCondo?: boolean;\n}) {\n  if (!areaM2 || areaM2 <= 0) {\n    return (\n      <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label={lang === \"fr\" ? \"Terrain non applicable\" : \"Lot not applicable\"}>\n        <rect x=\"30\" y=\"30\" width=\"130\" height=\"86\" fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" strokeDasharray=\"5 5\" />\n        <text x=\"95\" y=\"66\" textAnchor=\"middle\" fontSize=\"20\" fill=\"var(--ink-3)\">⌂</text>\n        <text x=\"95\" y=\"90\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-2)\" letterSpacing=\"1\">\n          {isCondo\n            ? lang === \"fr\" ? \"QUOTE-PART DE COPROPRIÉTÉ\" : \"CONDOMINIUM SHARE\"\n            : lang === \"fr\" ? \"TERRAIN NON INSCRIT AU RÔLE\" : \"LOT NOT ON ROLL\"}\n        </text>\n        <text x=\"95\" y=\"104\" textAnchor=\"middle\" fontSize=\"7\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n          {isCondo\n            ? lang === \"fr\" ? \"terrain commun indivis\" : \"undivided common land\"\n            : \"—\"}\n        </text>\n      </svg>\n    );\n  }\n  const front = frontageM && frontageM > 0 ? frontageM : Math.sqrt(areaM2);\n  const depth = areaM2 / front;\n  const ratio = Math.max(0.25, Math.min(4, depth / front));\n  const maxW = 150;\n  const maxH = 108;\n  let w = maxW;\n  let h = w * ratio;\n  if (h > maxH) {\n    h = maxH;\n    w = h / ratio;\n  }\n  const x = (190 - w) / 2;\n  const y = 118 - h;\n  // empreinte du bâtiment, à l'échelle de la superficie\n  const fpFrac = footprintM2 ? Math.min(0.8, footprintM2 / areaM2) : 0;\n  const fw = w * Math.sqrt(fpFrac) * 0.9;\n  const fh = h * Math.sqrt(fpFrac) * 0.9;\n  const fmtM = (v: number) => `${v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })} m`;\n\n  return (\n    <svg viewBox=\"0 0 190 150\" className=\"w-full max-w-[210px]\" aria-label=\"Schéma du terrain à l'échelle\">\n      <defs>\n        <pattern id=\"hatch\" width=\"7\" height=\"7\" patternTransform=\"rotate(45)\" patternUnits=\"userSpaceOnUse\">\n          <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"7\" stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.18\" />\n        </pattern>\n      </defs>\n      {/* parcelle */}\n      <rect x={x} y={y} width={w} height={h} fill=\"var(--surface-2)\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <rect x={x} y={y} width={w} height={h} fill=\"url(#hatch)\" />\n      {/* empreinte bâtiment */}\n      {fpFrac > 0.005 && (\n        <rect x={x + (w - fw) / 2} y={y + h - fh - h * 0.08} width={fw} height={fh} fill=\"var(--ink)\">\n          <title>{lang === \"fr\" ? \"Empreinte approximative du bâtiment\" : \"Approximate building footprint\"}</title>\n        </rect>\n      )}\n      {/* cotes : frontage */}\n      <line x1={x} y1={y + h + 12} x2={x + w} y2={y + h + 12} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x} y1={y + h + 8} x2={x} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x + w} y1={y + h + 8} x2={x + w} y2={y + h + 16} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x + w / 2} y={y + h + 24} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n        {frontageM ? fmtM(front) : `≈ ${fmtM(front)}`}\n      </text>\n      {/* cotes : profondeur */}\n      <line x1={x - 10} y1={y} x2={x - 10} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y} x2={x - 6} y2={y} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <line x1={x - 14} y1={y + h} x2={x - 6} y2={y + h} stroke=\"var(--ink)\" strokeWidth=\"1\" />\n      <text x={x - 16} y={y + h / 2} textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\" transform={`rotate(-90 ${x - 16} ${y + h / 2})`}>\n        ≈ {fmtM(depth)}\n      </text>\n      {/* rue */}\n      <line x1=\"8\" y1=\"136\" x2=\"182\" y2=\"136\" stroke=\"var(--ink)\" strokeWidth=\"1.6\" />\n      <text x=\"95\" y=\"147\" textAnchor=\"middle\" fontSize=\"8.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\" letterSpacing=\"3\">\n        {lang === \"fr\" ? \"RUE\" : \"STREET\"}\n      </text>\n    </svg>\n  );\n}\n\n/* ------------------------- composition de la valeur ------------------------- */\nexport function ValueSplit({\n  land,\n  building,\n  previous,\n  total,\n  lang,\n  labels,\n}: {\n  land: number | null;\n  building: number | null;\n  previous: number | null;\n  total: number | null;\n  lang: string;\n  labels: { land: string; building: string; previous: string };\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  const l = land ?? 0;\n  const b = building ?? 0;\n  const sum = l + b;\n  if (sum <= 0) return null;\n  const lPct = (l / sum) * 100;\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { style: \"currency\", currency: \"CAD\", maximumFractionDigits: 0 }).format(v);\n  const delta = previous && previous > 0 && total ? ((total / previous - 1) * 100) : null;\n  return (\n    <div>\n      {/* segments séparés par un jour de 2 px (le fond fait la séparation) */}\n      <div className=\"flex h-7 w-full gap-[2px]\">\n        {lPct >= 1 && (\n          <div\n            className=\"flex items-center justify-center overflow-hidden bg-[var(--chart-3)] transition-[width] duration-1000 ease-out\"\n            style={{ width: on ? `${lPct}%` : \"2%\" }}\n          >\n            {lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-white\">{Math.round(lPct)} %</span>\n            )}\n          </div>\n        )}\n        {lPct <= 99 && (\n          <div className=\"flex flex-1 items-center justify-center overflow-hidden bg-ink\">\n            {100 - lPct >= 14 && (\n              <span className=\"vp-mono px-1 text-[10px] font-bold text-paper\">{Math.round(100 - lPct)} %</span>\n            )}\n          </div>\n        )}\n      </div>\n      <div className=\"vp-mono mt-2 flex flex-wrap items-center gap-x-4 gap-y-1 text-[10.5px] uppercase tracking-[0.05em]\">\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-[var(--chart-3)]\" />\n          {labels.land} {fmt(l)}\n        </span>\n        <span className=\"flex items-center gap-1.5 text-ink-2\">\n          <span className=\"inline-block h-2.5 w-2.5 bg-ink\" />\n          {labels.building} {fmt(b)}\n        </span>\n      </div>\n      {delta != null && (\n        <p className=\"vp-mono mt-2.5 text-[10.5px] uppercase tracking-[0.05em] text-ink-3\">\n          {labels.previous} {fmt(previous!)}{\" \"}\n          <b className={delta >= 0 ? \"ml-1 text-ink\" : \"ml-1 text-[var(--danger)]\"}>\n            {delta >= 0 ? \"+\" : \"\"}\n            {delta.toFixed(1)} %\n          </b>\n        </p>\n      )}\n    </div>\n  );\n}\n\n/* -------------------------------- sparkline -------------------------------- */\nexport function Sparkline({\n  history,\n  height = 44,\n}: {\n  history: { year: number; value: number | null }[];\n  height?: number;\n}) {\n  const pts = history.filter((h) => h.value != null) as { year: number; value: number }[];\n  if (pts.length < 2) return null;\n  const W = 132;\n  const min = Math.min(...pts.map((p) => p.value));\n  const max = Math.max(...pts.map((p) => p.value));\n  const span = max - min || 1;\n  const xy = pts.map((p, i) => [\n    6 + (i / (pts.length - 1)) * (W - 12),\n    height - 8 - ((p.value - min) / span) * (height - 18),\n  ]);\n  const line = xy.map(([x, y]) => `${x},${y}`).join(\" \");\n  const growth = ((pts[pts.length - 1].value / pts[0].value - 1) * 100);\n  const [x2, y2] = xy[xy.length - 1];\n  return (\n    <div className=\"flex items-end gap-2\">\n      <svg viewBox={`0 0 ${W} ${height}`} width={W} height={height} aria-label={`Évolution ${pts[0].year}-${pts[pts.length - 1].year}`}>\n        <polyline points={line} fill=\"none\" stroke=\"var(--ink)\" strokeWidth=\"1.8\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n        <circle cx={x2} cy={y2} r=\"3.6\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n      </svg>\n      <span className={`vp-mono mb-0.5 text-[10.5px] font-bold ${growth >= 0 ? \"text-ink\" : \"text-[var(--danger)]\"}`}>\n        {growth >= 0 ? \"+\" : \"\"}\n        {growth.toFixed(0)} %\n      </span>\n    </div>\n  );\n}\n\n/* ------------------------- fourchette visuelle P10-P90 ------------------------- */\n/** Barre de fourchette : segment P10→P90, losange rouge = estimation, tiret = rôle. */\nexport function RangeBar({\n  low,\n  estimate,\n  high,\n  role,\n  lang,\n}: {\n  low: number;\n  estimate: number;\n  high: number;\n  role: number | null;\n  lang: string;\n}) {\n  const [on, setOn] = useState(false);\n  useEffect(() => {\n    const id = setTimeout(() => setOn(true), 80);\n    return () => clearTimeout(id);\n  }, []);\n  if (!(high > low) || !Number.isFinite(estimate)) return null;\n  const lo = Math.min(low, role ?? low);\n  const hi = Math.max(high, role ?? high);\n  const pad = (hi - lo) * 0.09 || hi * 0.05;\n  const min = lo - pad;\n  const max = hi + pad;\n  const X = (v: number) => Math.max(0, Math.min(100, ((v - min) / (max - min)) * 100));\n  // les étiquettes (centrées, nowrap) restent dans la composition même aux extrêmes\n  const clampX = (v: number, lo: number, hi: number) => Math.max(lo, Math.min(hi, X(v)));\n  const fmt = (v: number) =>\n    new Intl.NumberFormat(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", {\n      style: \"currency\",\n      currency: \"CAD\",\n      maximumFractionDigits: 0,\n      notation: v >= 1_000_000 ? \"compact\" : \"standard\",\n    }).format(v);\n  // l'étiquette du rôle s'efface si elle chevaucherait l'estimation ou les bornes\n  const roleClose =\n    role != null &&\n    (Math.abs(X(role) - X(estimate)) < 9 ||\n      Math.abs(X(role) - X(low)) < 15 ||\n      Math.abs(X(role) - X(high)) < 15);\n  return (\n    <div aria-label={`${fmt(low)} – ${fmt(high)}`}>\n      <div className=\"relative h-[62px]\">\n        {/* étiquette estimation */}\n        <div\n          className=\"absolute top-0 -translate-x-1/2 whitespace-nowrap transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? clampX(estimate, 18, 82) : 50}%` }}\n        >\n          <span className=\"vp-mono bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\">\n            {lang === \"fr\" ? \"ESTIMATION\" : \"ESTIMATE\"} {fmt(estimate)}\n          </span>\n        </div>\n        {/* piste hairline */}\n        <div className=\"absolute left-0 right-0 top-[35px] h-px bg-[var(--line-strong)] opacity-40\" />\n        {/* segment P10-P90 — encre pleine, fine */}\n        <div\n          className=\"absolute top-[33px] h-[5px] origin-left bg-ink transition-transform duration-1000 ease-out\"\n          style={{\n            left: `${X(low)}%`,\n            width: `${Math.max(2, X(high) - X(low))}%`,\n            transform: on ? \"scaleX(1)\" : \"scaleX(0.05)\",\n          }}\n        />\n        {/* bornes : ticks */}\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(low)}%` }} />\n        <div className=\"absolute top-[28px] h-[15px] w-px bg-ink\" style={{ left: `${X(high)}%` }} />\n        {/* marqueur estimation (losange rouge signal) */}\n        <div\n          className=\"absolute top-[35px] -translate-x-1/2 -translate-y-1/2 transition-[left] duration-700 ease-out\"\n          style={{ left: `${on ? X(estimate) : 50}%` }}\n        >\n          <div className=\"h-[13px] w-[13px] rotate-45 border-2 border-[var(--paper)] bg-[var(--accent)]\" />\n        </div>\n        {/* marqueur rôle */}\n        {role != null && role > 0 && (\n          <>\n            <div\n              className=\"absolute top-[24px] h-[23px] w-0 -translate-x-1/2 border-l border-dashed border-ink opacity-70\"\n              style={{ left: `${X(role)}%` }}\n            />\n            {!roleClose && (\n              <span\n                className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[9px] font-medium uppercase tracking-[0.06em] text-ink-2\"\n                style={{ left: `${clampX(role, 11, 89)}%` }}\n              >\n                {lang === \"fr\" ? \"Rôle\" : \"Roll\"} {fmt(role)}\n              </span>\n            )}\n          </>\n        )}\n        {/* bornes */}\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(low, 11, 89)}%` }}\n        >\n          P10 {fmt(low)}\n        </span>\n        <span\n          className=\"vp-mono absolute top-[49px] -translate-x-1/2 whitespace-nowrap text-[10px] font-medium text-ink-2\"\n          style={{ left: `${clampX(high, 11, 89)}%` }}\n        >\n          P90 {fmt(high)}\n        </span>\n      </div>\n    </div>\n  );\n}\n\n/* ----------------------- pouls du marché (multi-séries) ----------------------- */\nexport interface PulseChartSeries {\n  key: string;\n  label: string;\n  color: string; // var(--chart-1|2|3)\n  series: { month: string; idx: number }[];\n}\n\n/**\n * Comparaison des grands types sur une même échelle (base 100 au début de la\n * fenêtre). Étiquettes directes en fin de ligne + légende + crosshair tactile :\n * l'identité ne repose jamais sur la couleur seule.\n */\nexport function MarketPulseChart({\n  data,\n  lang,\n  months,\n}: {\n  data: PulseChartSeries[];\n  lang: string;\n  /** Fenêtre en mois (null = tout l'historique). */\n  months: number | null;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n\n  // fenêtre commune : mois de la série la plus longue, tronquée à `months`\n  const longest = data.reduce((a, b) => (b.series.length > a.series.length ? b : a), data[0]);\n  if (!longest || longest.series.length < 2) return null;\n  const windowMonths = (months ? longest.series.slice(-(months + 1)) : longest.series).map((p) => p.month);\n  const n = windowMonths.length;\n  if (n < 2) return null;\n\n  // valeurs rebasées à 100 au premier mois de la fenêtre, par série\n  const rebased = data.map((s) => {\n    const byMonth = new Map(s.series.map((p) => [p.month, p.idx]));\n    const first = windowMonths.find((m) => byMonth.has(m));\n    const base = first != null ? byMonth.get(first)! : null;\n    return {\n      ...s,\n      vals: windowMonths.map((m) => {\n        const v = byMonth.get(m);\n        return v != null && base ? (v / base) * 100 : null;\n      }),\n    };\n  });\n\n  const W = 720;\n  const H = 264;\n  const padL = 34;\n  const padR = 8;\n  const padT = 14;\n  const padB = 40; // réserve l'espace des étiquettes directes sous la ligne de base\n  const all = rebased.flatMap((s) => s.vals).filter((v): v is number => v != null);\n  const min = Math.min(...all);\n  const max = Math.max(...all);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (n - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n\n  // grille : 100 + min/max arrondis à 5\n  const gridVals = [...new Set([Math.ceil(min / 5) * 5, 100, Math.floor(max / 5) * 5])].filter(\n    (v) => v >= min - 0.5 && v <= max + 0.5\n  );\n  // graduations x : janvier de chaque année (ou premier/dernier si fenêtre courte)\n  const yearTicks = windowMonths\n    .map((m, i) => ({ i, m }))\n    .filter((p) => p.m.endsWith(\"-01\"));\n\n  // étiquettes directes en fin de ligne, anticollision (≥ 15 px d'écart)\n  const ends = rebased\n    .map((s) => {\n      const lastIdx = s.vals.reduce<number>((acc, v, i) => (v != null ? i : acc), -1);\n      return lastIdx >= 0 ? { s, i: lastIdx, v: s.vals[lastIdx]! } : null;\n    })\n    .filter((e): e is { s: (typeof rebased)[number]; i: number; v: number } => e != null)\n    .sort((a, b) => y(a.v) - y(b.v));\n  const labelYs: number[] = [];\n  for (const e of ends) {\n    let ly = y(e.v);\n    const prev = labelYs[labelYs.length - 1];\n    if (prev != null && ly - prev < 15) ly = prev + 15;\n    labelYs.push(ly);\n  }\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (n - 1));\n    setHi(Math.max(0, Math.min(n - 1, i)));\n  };\n\n  const fmtIdx = (v: number | null) =>\n    v == null ? \"—\" : v.toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 });\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché par type, ${windowMonths[0]} à ${windowMonths[n - 1]}`\n            : `Market index by type, ${windowMonths[0]} to ${windowMonths[n - 1]}`\n        }\n        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {/* grille hairline pleine */}\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line x1={padL} y1={y(v)} x2={W - padR} y2={y(v)} stroke=\"var(--ink)\" strokeWidth=\"0.7\" opacity={v === 100 ? 0.35 : 0.12} />\n            <text x={padL - 6} y={y(v) + 3.5} textAnchor=\"end\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {v}\n            </text>\n          </g>\n        ))}\n        {yearTicks.map((p) => (\n          <text key={p.m} x={x(p.i)} y={H - padB + 16} textAnchor=\"middle\" fontSize=\"10\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n            {p.m.slice(0, 4)}\n          </text>\n        ))}\n        {/* crosshair */}\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        {/* lignes */}\n        {rebased.map((s) => {\n          const pts = s.vals\n            .map((v, i) => (v != null ? `${x(i).toFixed(1)},${y(v).toFixed(1)}` : null))\n            .filter(Boolean)\n            .join(\" \");\n          return (\n            <polyline\n              key={s.key}\n              points={pts}\n              fill=\"none\"\n              stroke={s.color}\n              strokeWidth=\"2\"\n              strokeLinejoin=\"round\"\n              strokeLinecap=\"round\"\n            />\n          );\n        })}\n        {/* points survolés (anneau papier) */}\n        {hi != null &&\n          rebased.map((s) =>\n            s.vals[hi] != null ? (\n              <circle key={s.key} cx={x(hi)} cy={y(s.vals[hi]!)} r=\"4\" fill={s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            ) : null\n          )}\n        {/* fins de ligne : point + étiquette directe (série + valeur).\n            Étiquettes masquées en mobile (SVG trop réduit) : la légende et les\n            colonnes de lecture sous le graphique portent alors l'identité. */}\n        {ends.map((e, k) => (\n          <g key={e.s.key}>\n            <circle cx={x(e.i)} cy={y(e.v)} r=\"3.5\" fill={e.s.color} stroke=\"var(--paper)\" strokeWidth=\"2\" />\n            <g className=\"hidden sm:block\">\n              {labelYs[k] !== y(e.v) && (\n                <line x1={x(e.i)} y1={y(e.v)} x2={x(e.i) - 4} y2={labelYs[k]} stroke={e.s.color} strokeWidth=\"0.8\" opacity=\"0.6\" />\n              )}\n              <text\n                x={x(e.i) - 8}\n                y={labelYs[k] + 3.5}\n                textAnchor=\"end\"\n                fontSize=\"10.5\"\n                fontWeight=\"700\"\n                fontFamily=\"var(--font-jetbrains)\"\n                fill=\"var(--ink)\"\n                style={{ paintOrder: \"stroke\", stroke: \"var(--paper)\", strokeWidth: 3 }}\n              >\n                {e.s.label} · {Math.round(e.v)}\n              </text>\n            </g>\n          </g>\n        ))}\n      </svg>\n      {/* infobulle : toutes les séries au mois visé */}\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(78, Math.max(2, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-1 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(windowMonths[hi], lang)}</p>\n          {rebased.map((s) => (\n            <p key={s.key} className=\"row\">\n              <span>\n                <span className=\"key\" style={{ background: s.color === \"var(--chart-1)\" ? \"var(--paper)\" : s.color }} />\n                {s.label}\n              </span>\n              <span className=\"val\">{fmtIdx(s.vals[hi])}</span>\n            </p>\n          ))}\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* --------------------------- courbe d'indice de marché --------------------------- */\n/** Indice mensuel rebasé à 100 au premier mois — la trajectoire du marché local. */\nexport function MarketIndexChart({\n  series,\n  lang,\n}: {\n  series: { month: string; idx: number }[];\n  lang: string;\n}) {\n  const wrap = useRef<HTMLDivElement>(null);\n  const [hi, setHi] = useState<number | null>(null);\n  if (series.length < 6) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const W = 640;\n  const H = 200;\n  const padL = 36;\n  const padR = 46;\n  const padT = 14;\n  const padB = 26;\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const x = (i: number) => padL + (i / (pts.length - 1)) * (W - padL - padR);\n  const y = (v: number) => padT + (1 - (v - min) / span) * (H - padT - padB);\n  const line = pts.map((v, i) => `${x(i).toFixed(1)},${y(v).toFixed(1)}`).join(\" \");\n  const area = `${x(0)},${H - padB} ${line} ${x(pts.length - 1)},${H - padB}`;\n  // graduations : janvier de chaque année\n  const years = series\n    .map((p, i) => ({ i, month: p.month }))\n    .filter((p) => p.month.endsWith(\"-01\"));\n  const gridVals = [...new Set([Math.round(min), 100, Math.round(max)])].filter(\n    (v) => v >= min - 1 && v <= max + 1\n  );\n  const lastV = pts[pts.length - 1];\n\n  const onMove = (clientX: number) => {\n    const el = wrap.current;\n    if (!el) return;\n    const r = el.getBoundingClientRect();\n    const fx = ((clientX - r.left) / r.width) * W;\n    const i = Math.round(((fx - padL) / (W - padL - padR)) * (pts.length - 1));\n    setHi(Math.max(0, Math.min(pts.length - 1, i)));\n  };\n\n  return (\n    <div className=\"relative\" ref={wrap}>\n      <svg\n        viewBox={`0 0 ${W} ${H}`}\n        className=\"h-auto w-full touch-pan-y select-none\"\n        role=\"img\"\n        aria-label={\n          lang === \"fr\"\n            ? `Indice de marché ${series[0].month} à ${series[series.length - 1].month}`\n            : `Market index ${series[0].month} to ${series[series.length - 1].month}`\n        }\n        onPointerDown={(e) => onMove(e.clientX)}\n        onPointerMove={(e) => onMove(e.clientX)}\n        onPointerLeave={() => setHi(null)}\n      >\n        {gridVals.map((v) => (\n          <g key={v}>\n            <line\n              x1={padL}\n              y1={y(v)}\n              x2={W - padR}\n              y2={y(v)}\n              stroke=\"var(--ink)\"\n              strokeWidth=\"0.7\"\n              opacity={v === 100 ? 0.35 : 0.12}\n            />\n            <text\n              x={padL - 6}\n              y={y(v) + 3.5}\n              textAnchor=\"end\"\n              fontSize=\"10\"\n              fontFamily=\"var(--font-jetbrains)\"\n              fill=\"var(--ink-3)\"\n            >\n              {v}\n            </text>\n          </g>\n        ))}\n        {years.map((p) => (\n          <text\n            key={p.month}\n            x={x(p.i)}\n            y={H - 8}\n            textAnchor=\"middle\"\n            fontSize=\"10\"\n            fontFamily=\"var(--font-jetbrains)\"\n            fill=\"var(--ink-3)\"\n          >\n            {p.month.slice(0, 4)}\n          </text>\n        ))}\n        <polygon points={area} fill=\"var(--ink)\" opacity=\"0.05\" />\n        {hi != null && (\n          <line x1={x(hi)} y1={padT} x2={x(hi)} y2={H - padB} stroke=\"var(--ink)\" strokeWidth=\"0.8\" opacity=\"0.4\" />\n        )}\n        <polyline\n          points={line}\n          fill=\"none\"\n          stroke=\"var(--ink)\"\n          strokeWidth=\"2\"\n          strokeLinejoin=\"round\"\n          strokeLinecap=\"round\"\n        />\n        {hi != null && (\n          <circle cx={x(hi)} cy={y(pts[hi])} r=\"4\" fill=\"var(--ink)\" stroke=\"var(--paper)\" strokeWidth=\"2\" />\n        )}\n        <circle\n          cx={x(pts.length - 1)}\n          cy={y(lastV)}\n          r=\"4\"\n          fill=\"var(--accent)\"\n          stroke=\"var(--paper)\"\n          strokeWidth=\"2\"\n        />\n        <text\n          x={x(pts.length - 1) + 8}\n          y={y(lastV) + 4}\n          fontSize=\"11.5\"\n          fontWeight=\"700\"\n          fontFamily=\"var(--font-jetbrains)\"\n          fill=\"var(--ink)\"\n        >\n          {Math.round(lastV)}\n        </text>\n      </svg>\n      {hi != null && (\n        <div\n          className=\"vv-tip\"\n          style={{\n            left: `${Math.min(74, Math.max(4, (x(hi) / W) * 100))}%`,\n            top: 0,\n            transform: \"translateX(-50%)\",\n          }}\n        >\n          <p className=\"mb-0.5 uppercase tracking-[0.08em] opacity-70\">{fmtMonth(series[hi].month, lang)}</p>\n          <p className=\"row\">\n            <span>{lang === \"fr\" ? \"Indice\" : \"Index\"}</span>\n            <span className=\"val\">\n              {pts[hi].toLocaleString(lang === \"fr\" ? \"fr-CA\" : \"en-CA\", { maximumFractionDigits: 1 })}\n            </span>\n          </p>\n        </div>\n      )}\n    </div>\n  );\n}\n\n/* ----------------------- position dans la municipalité ----------------------- */\n/** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */\nexport function PercentileBar({\n  pct,\n  lang,\n}: {\n  pct: number;\n  lang: string;\n}) {\n  const N = 36;\n  const bars = Array.from({ length: N }, (_, i) => {\n    const z = (i / (N - 1) - 0.42) / 0.24; // cloche légèrement asymétrique (droite étirée)\n    return Math.exp(-0.5 * z * z) * (i / N > 0.5 ? 1 + (i / N - 0.5) * 0.35 : 1);\n  });\n  const maxB = Math.max(...bars);\n  const p = Math.max(0, Math.min(100, pct));\n  return (\n    <div aria-label={`${Math.round(p)} %`}>\n      <div className=\"relative flex h-[72px] items-end px-0.5\" style={{ gap: \"2px\" }}>\n        {bars.map((b, i) => {\n          const filled = (i + 0.5) / N <= p / 100;\n          return (\n            <div\n              key={i}\n              className=\"min-w-0 flex-1 transition-colors\"\n              style={{\n                height: `${8 + (b / maxB) * 88}%`,\n                background: filled ? \"var(--ink)\" : \"var(--line-soft)\",\n              }}\n            />\n          );\n        })}\n        <div\n          className=\"absolute bottom-0 top-[-6px] w-0 border-l-[2px] border-[var(--accent)]\"\n          style={{ left: `${p}%` }}\n        >\n          <span className=\"vp-mono absolute -top-1 left-1.5 whitespace-nowrap bg-ink px-1.5 py-0.5 text-[10px] font-bold text-paper\" style={p > 55 ? { left: \"auto\", right: \"6px\" } : undefined}>\n            P{Math.round(p)}\n          </span>\n        </div>\n      </div>\n    </div>\n  );\n}\n\n/* ------------------------ mini-courbe d'indice (accueil) ------------------------ */\nexport function IndexSpark({\n  series,\n  width = 150,\n  height = 46,\n  color = \"var(--ink)\",\n}: {\n  series: { month: string; idx: number }[];\n  width?: number;\n  height?: number;\n  color?: string;\n}) {\n  if (series.length < 2) return null;\n  const base = series[0].idx || 1;\n  const pts = series.map((p) => (p.idx / base) * 100);\n  const min = Math.min(...pts);\n  const max = Math.max(...pts);\n  const span = max - min || 1;\n  const xy = pts.map((v, i) => [\n    4 + (i / (pts.length - 1)) * (width - 8),\n    height - 6 - ((v - min) / span) * (height - 14),\n  ]);\n  const line = xy.map(([x, y]) => `${x.toFixed(1)},${y.toFixed(1)}`).join(\" \");\n  const [lx, ly] = xy[xy.length - 1];\n  return (\n    <svg viewBox={`0 0 ${width} ${height}`} className=\"h-auto w-full\" aria-hidden=\"true\">\n      <polyline points={line} fill=\"none\" stroke={color} strokeWidth=\"2\" strokeLinejoin=\"round\" strokeLinecap=\"round\" />\n      <circle cx={lx} cy={ly} r=\"3.2\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.8\" />\n    </svg>\n  );\n}\n\n/* ------------------------------ frise temporelle ------------------------------ */\nexport function EraLine({ year, lang }: { year: number | null; lang: string }) {\n  if (!year || year < 1750) return null;\n  const min = Math.min(1900, Math.floor((year - 10) / 50) * 50);\n  const max = 2026;\n  const frac = Math.max(0, Math.min(1, (year - min) / (max - min)));\n  const W = 190;\n  const x = 12 + frac * (W - 24);\n  const age = 2026 - year;\n  return (\n    <svg viewBox={`0 0 ${W} 40`} className=\"w-full max-w-[210px]\" aria-label={`Construction ${year}`}>\n      <line x1=\"12\" y1=\"24\" x2={W - 12} y2=\"24\" stroke=\"var(--ink)\" strokeWidth=\"1.2\" />\n      {[...new Set([min, Math.round((min + max) / 2 / 50) * 50, 2000])].map((yr) => {\n        const gx = 12 + ((yr - min) / (max - min)) * (W - 24);\n        return (\n          <g key={yr}>\n            <line x1={gx} y1=\"20\" x2={gx} y2=\"28\" stroke=\"var(--ink)\" strokeWidth=\"1\" opacity=\"0.5\" />\n            <text x={gx} y=\"38\" textAnchor=\"middle\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n              {yr}\n            </text>\n          </g>\n        );\n      })}\n      <g transform={`translate(${x}, 24)`}>\n        <rect x=\"-6\" y=\"-6\" width=\"12\" height=\"12\" transform=\"rotate(45)\" fill=\"var(--accent)\" stroke=\"var(--paper)\" strokeWidth=\"1.6\" />\n        <text y=\"-13\" textAnchor=\"middle\" fontSize=\"9.5\" fontWeight=\"700\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink)\">\n          {year}\n        </text>\n      </g>\n      <text x={W - 12} y=\"12\" textAnchor=\"end\" fontSize=\"7.5\" fontFamily=\"var(--font-jetbrains)\" fill=\"var(--ink-3)\">\n        {age} {lang === \"fr\" ? \"ANS\" : \"YRS\"}\n      </text>\n    </svg>\n  );\n}\n","structuredPatch":[{"oldStart":918,"oldLines":10,"newStart":918,"newLines":9,"lines":[" /** Distribution stylisée (cloche) : les barres sous le percentile sont pleines. */"," export function PercentileBar({","   pct,","-  lang,"," }: {","   pct: number;","-  lang: string;","+  lang?: string;"," }) {","   const N = 36;","   const bars = Array.from({ length: N }, (_, i) => {"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0f3a5802-f1c3-4381-bd89-ef8264de205e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAtHvC3GtQK5WuvQgmb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017PXkJBHi19dbvB6vKPT4Fk","name":"Bash","input":{"command":"npm run build 2>&1 | grep -E \"error|Failed|✓ Compiled|✓ Generating\" ; echo \"BUILD_EXIT=$?\"","description":"Final production build","timeout":420000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":648,"cache_read_input_tokens":260323,"cache_creation":{"ephemeral_5m_input_tokens":648,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"15eae233-96b2-4ffa-af4b-cadd3e0be9ba","request_id":"req_011CeQAtEvcbN6faZYik436z"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"by47eagm9","tool_use_id":"toolu_017PXkJBHi19dbvB6vKPT4Fk","description":"Final production build","task_type":"local_bash","uuid":"cee635f9-5311-43ef-baf0-4d5fc3f61d90","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"by47eagm9","tool_use_id":"toolu_017PXkJBHi19dbvB6vKPT4Fk","status":"completed","output_file":"","summary":"Final production build","uuid":"b1f9a90e-0250-41e2-b91a-44cf7cad1c83","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017PXkJBHi19dbvB6vKPT4Fk","type":"tool_result","content":"✓ Compiled successfully in 717ms\n✓ Generating static pages using 27 workers (117/117) in 1254ms\nBUILD_EXIT=0","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"415205b2-c11a-48a4-b7a6-a26b889b52dc","timestamp":"2026-08-25T21:24:23.901Z","tool_use_result":{"stdout":"✓ Compiled successfully in 717ms\n✓ Generating static pages using 27 workers (117/117) in 1254ms\nBUILD_EXIT=0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9bad7405-c25e-40af-9326-70d30f4650e6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAu2nPYCFgcfSyEhnsv","type":"message","role":"assistant","content":[{"type":"text","text":"Build final OK. Redéploiement pm2 + healthcheck :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":208,"cache_read_input_tokens":260971,"cache_creation":{"ephemeral_5m_input_tokens":208,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1853c8b0-95fe-4743-8457-1b6ccddfd7b8","request_id":"req_011CeQAty8NeQ3tfQfR2ev3m"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAu2nPYCFgcfSyEhnsv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MB5dKyer1W3X5azPsBxW7k","name":"Bash","input":{"command":"pm2 restart vrai-prix --update-env && sleep 5 && pm2 status vrai-prix | head -8","description":"Restart vrai-prix under pm2","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":208,"cache_read_input_tokens":260971,"cache_creation":{"ephemeral_5m_input_tokens":208,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f33a875c-22bf-4c20-b1fb-a8302b016f46","request_id":"req_011CeQAty8NeQ3tfQfR2ev3m"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b0z3kaaw6","tool_use_id":"toolu_01MB5dKyer1W3X5azPsBxW7k","description":"Restart vrai-prix under pm2","task_type":"local_bash","uuid":"383e477b-bef4-413a-9757-c7695fcffdb5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b0z3kaaw6","tool_use_id":"toolu_01MB5dKyer1W3X5azPsBxW7k","status":"completed","output_file":"","summary":"Restart vrai-prix under pm2","uuid":"9c832cee-e17a-4283-8805-9afa51bc2c80","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MB5dKyer1W3X5azPsBxW7k","type":"tool_result","content":"[PM2] Applying action restartProcessId on app [vrai-prix](ids: [ 7 ])\n[PM2] [vrai-prix](7) ✓\n┌────┬─────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name                    │ namespace   │ version │ mode    │ pid      │ uptime │ ↺    │ status    │ cpu      │ mem      │ user     │ watching │\n├────┼─────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 20 │ forma-ka                │ default     │ N/A     │ fork    │ 15380    │ 12D    │ 0    │ online    │ 0%       │ 95.2mb   │ simon-p… │ disabled │\n│ 22 │ forma-ka-ngrok          │ default     │ N/A     │ fork    │ 25150    │ 13D    │ 0    │ online    │ 0%       │ 172.4mb  │ simon-p… │ disabled │\n│ 21 │ forma-ka-sync           │ default     │ N/A     │ fork    │ 63676    │ 3D     │ 1    │ online    │ 0%       │ 160.8mb  │ simon-p… │ disabled │\n│ 0  │ hilmacorp               │ default     │ 1.0.0   │ fork    │ 14508    │ 19D    │ 3    │ online    │ 0%       │ 119.6mb  │ simon-p… │ disabled │\n│ 1  │ hilmacorp-ngrok         │ default     │ N/A     │ fork    │ 2960     │ 19D    │ 0    │ online    │ 0%       │ 145.1mb  │ simon-p… │ disabled │\n│ 2  │ influenceursqc          │ default     │ N/A     │ fork    │ 68377    │ 19D    │ 3    │ online    │ 0%       │ 59.5mb   │ simon-p… │ disabled │\n│ 3  │ influenceursqc-ngrok    │ default     │ N/A     │ fork    │ 32545    │ 19D    │ 0    │ online    │ 0%       │ 147.5mb  │ simon-p… │ disabled │\n│ 33 │ job-ka-ngrok            │ default     │ N/A     │ fork    │ 96937    │ 7D     │ 0    │ online    │ 0%       │ 247.1mb  │ simon-p… │ disabled │\n│ 32 │ job-ka-sync             │ default     │ N/A     │ fork    │ 77836    │ 83m    │ 11   │ online    │ 0%       │ 315.2mb  │ simon-p… │ disabled │\n│ 31 │ job-ka-web              │ default     │ N/A     │ fork    │ 74417    │ 2h     │ 32   │ online    │ 0%       │ 96.4mb   │ simon-p… │ disabled │\n│ 4  │ qwhpi-api               │ default     │ N/A     │ fork    │ 88830    │ 17D    │ 2    │ online    │ 0%       │ 214.4mb  │ simon-p… │ disabled │\n│ 6  │ qwhpi-ngrok             │ default     │ N/A     │ fork    │ 16605    │ 18D    │ 0    │ online    │ 0%       │ 106.8mb  │ simon-p… │ disabled │\n│ 5  │ qwhpi-web               │ default     │ N/A     │ fork    │ 9460     │ 17D    │ 8    │ online    │ 0%       │ 23.7mb   │ simon-p… │ disabled │\n│ 17 │ search-box-ngrok        │ default     │ N/A     │ fork    │ 76310    │ 13D    │ 0    │ online    │ 0%       │ 96.0mb   │ simon-p… │ disabled │\n│ 16 │ search-box-web          │ default     │ N/A     │ fork    │ 76025    │ 13D    │ 0    │ online    │ 0%       │ 129.4mb  │ simon-p… │ disabled │\n│ 28 │ sorti-ka-ngrok          │ default     │ N/A     │ fork    │ 25549    │ 8D     │ 0    │ online    │ 0%       │ 192.4mb  │ simon-p… │ disabled │\n│ 30 │ sorti-ka-sync           │ default     │ N/A     │ fork    │ 40465    │ 2D     │ 11   │ online    │ 0%       │ 194.6mb  │ simon-p… │ disabled │\n│ 26 │ sorti-ka-web            │ default     │ N/A     │ fork    │ 7800     │ 6h     │ 34   │ online    │ 0%       │ 110.3mb  │ simon-p… │ disabled │\n│ 11 │ spbgit-server           │ default     │ 1.0.0   │ fork    │ 62486    │ 8m     │ 501  │ online    │ 0%       │ 368.3mb  │ simon-p… │ disabled │\n│ 13 │ spbgit-tunnel           │ default     │ N/A     │ fork    │ 52196    │ 15D    │ 14   │ online    │ 0%       │ 469.2mb  │ simon-p… │ disabled │\n│ 14 │ tendril-api             │ default     │ 0.1.0   │ fork    │ 37275    │ 14D    │ 2    │ online    │ 0%       │ 65.4mb   │ simon-p… │ disabled │\n│ 15 │ tendril-ngrok           │ default     │ N/A     │ fork    │ 37273    │ 14D    │ 25   │ online    │ 0%       │ 56.1mb   │ simon-p… │ disabled │\n│ 24 │ toit-ka-etl             │ default     │ N/A     │ fork    │ 81797    │ 8D     │ 1    │ online    │ 0%       │ 856.8mb  │ simon-p… │ disabled │\n│ 25 │ toit-ka-ngrok           │ default     │ N/A     │ fork    │ 81808    │ 8D     │ 1    │ online    │ 0%       │ 357.8mb  │ simon-p… │ disabled │\n│ 23 │ toit-ka-web             │ default     │ N/A     │ fork    │ 81787    │ 8D     │ 1    │ online    │ 0%       │ 270.3mb  │ simon-p… │ disabled │\n│ 9  │ valoplex                │ default     │ 0.1.0   │ fork    │ 31928    │ 47h    │ 13   │ online    │ 0%       │ 180.2mb  │ simon-p… │ disabled │\n│ 10 │ valoplex-ngrok          │ default     │ N/A     │ fork    │ 44406    │ 16D    │ 0    │ online    │ 0%       │ 146.1mb  │ simon-p… │ disabled │\n│ 7  │ vrai-prix               │ default     │ 0.1.0   │ fork    │ 87423    │ 0s     │ 70   │ online    │ 0%       │ 448.0kb  │ simon-p… │ disabled │\n│ 35 │ vrai-prix-ingest        │ default     │ 0.1.0   │ fork    │ 0        │ 0      │ 0    │ stopped   │ 0%       │ 0b       │ simon-p… │ disabled │\n│ 8  │ vrai-prix-ngrok         │ default     │ N/A     │ fork    │ 43436    │ 16D    │ 0    │ online    │ 0%       │ 575.2mb  │ simon-p… │ disabled │\n│ 19 │ worthdoing-ngrok        │ default     │ N/A     │ fork    │ 9281     │ 13D    │ 0    │ online    │ 0%       │ 110.7mb  │ simon-p… │ disabled │\n│ 18 │ worthdoing-web          │ default     │ N/A     │ fork    │ 8791     │ 13D    │ 0    │ online    │ 0%       │ 159.0mb  │ simon-p… │ disabled │\n└────┴─────────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n┌────┬─────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name                    │ namespace   │ version │ mode    │ pid      │ uptime │ ↺    │ status    │ cpu      │ mem      │ user     │ watching │\n├────┼─────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 20 │ forma-ka                │ default     │ N/A     │ fork    │ 15380    │ 12D    │ 0    │ online    │ 0%       │ 95.2mb   │ simon-p… │ disabled │\n│ 22 │ forma-ka-ngrok          │ default     │ N/A     │ fork    │ 25150    │ 13D    │ 0    │ online    │ 0%       │ 172.4mb  │ simon-p… │ disabled │\n│ 21 │ forma-ka-sync           │ default     │ N/A     │ fork    │ 63676    │ 3D     │ 1    │ online    │ 0%       │ 160.8mb  │ simon-p… │ disabled │\n│ 0  │ hilmacorp               │ default     │ 1.0.0   │ fork    │ 14508    │ 19D    │ 3    │ online    │ 0%       │ 119.6mb  │ simon-p… │ disabled │\n│ 1  │ hilmacorp-ngrok         │ default     │ N/A     │ fork    │ 2960     │ 19D    │ 0    │ online    │ 0%       │ 145.1mb  │ simon-p… │ disabled │","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"437d6f07-f8c9-48af-97cc-1f703e5eb81a","timestamp":"2026-08-25T21:24:34.848Z","tool_use_result":{"stdout":"[PM2] Applying action restartProcessId on app [vrai-prix](ids: [ 7 ])\n[PM2] [vrai-prix](7) ✓\n┌────┬─────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name                    │ namespace   │ version │ mode    │ pid      │ uptime │ ↺    │ status    │ cpu      │ mem      │ user     │ watching │\n├────┼─────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 20 │ forma-ka                │ default     │ N/A     │ fork    │ 15380    │ 12D    │ 0    │ online    │ 0%       │ 95.2mb   │ simon-p… │ disabled │\n│ 22 │ forma-ka-ngrok          │ default     │ N/A     │ fork    │ 25150    │ 13D    │ 0    │ online    │ 0%       │ 172.4mb  │ simon-p… │ disabled │\n│ 21 │ forma-ka-sync           │ default     │ N/A     │ fork    │ 63676    │ 3D     │ 1    │ online    │ 0%       │ 160.8mb  │ simon-p… │ disabled │\n│ 0  │ hilmacorp               │ default     │ 1.0.0   │ fork    │ 14508    │ 19D    │ 3    │ online    │ 0%       │ 119.6mb  │ simon-p… │ disabled │\n│ 1  │ hilmacorp-ngrok         │ default     │ N/A     │ fork    │ 2960     │ 19D    │ 0    │ online    │ 0%       │ 145.1mb  │ simon-p… │ disabled │\n│ 2  │ influenceursqc          │ default     │ N/A     │ fork    │ 68377    │ 19D    │ 3    │ online    │ 0%       │ 59.5mb   │ simon-p… │ disabled │\n│ 3  │ influenceursqc-ngrok    │ default     │ N/A     │ fork    │ 32545    │ 19D    │ 0    │ online    │ 0%       │ 147.5mb  │ simon-p… │ disabled │\n│ 33 │ job-ka-ngrok            │ default     │ N/A     │ fork    │ 96937    │ 7D     │ 0    │ online    │ 0%       │ 247.1mb  │ simon-p… │ disabled │\n│ 32 │ job-ka-sync             │ default     │ N/A     │ fork    │ 77836    │ 83m    │ 11   │ online    │ 0%       │ 315.2mb  │ simon-p… │ disabled │\n│ 31 │ job-ka-web              │ default     │ N/A     │ fork    │ 74417    │ 2h     │ 32   │ online    │ 0%       │ 96.4mb   │ simon-p… │ disabled │\n│ 4  │ qwhpi-api               │ default     │ N/A     │ fork    │ 88830    │ 17D    │ 2    │ online    │ 0%       │ 214.4mb  │ simon-p… │ disabled │\n│ 6  │ qwhpi-ngrok             │ default     │ N/A     │ fork    │ 16605    │ 18D    │ 0    │ online    │ 0%       │ 106.8mb  │ simon-p… │ disabled │\n│ 5  │ qwhpi-web               │ default     │ N/A     │ fork    │ 9460     │ 17D    │ 8    │ online    │ 0%       │ 23.7mb   │ simon-p… │ disabled │\n│ 17 │ search-box-ngrok        │ default     │ N/A     │ fork    │ 76310    │ 13D    │ 0    │ online    │ 0%       │ 96.0mb   │ simon-p… │ disabled │\n│ 16 │ search-box-web          │ default     │ N/A     │ fork    │ 76025    │ 13D    │ 0    │ online    │ 0%       │ 129.4mb  │ simon-p… │ disabled │\n│ 28 │ sorti-ka-ngrok          │ default     │ N/A     │ fork    │ 25549    │ 8D     │ 0    │ online    │ 0%       │ 192.4mb  │ simon-p… │ disabled │\n│ 30 │ sorti-ka-sync           │ default     │ N/A     │ fork    │ 40465    │ 2D     │ 11   │ online    │ 0%       │ 194.6mb  │ simon-p… │ disabled │\n│ 26 │ sorti-ka-web            │ default     │ N/A     │ fork    │ 7800     │ 6h     │ 34   │ online    │ 0%       │ 110.3mb  │ simon-p… │ disabled │\n│ 11 │ spbgit-server           │ default     │ 1.0.0   │ fork    │ 62486    │ 8m     │ 501  │ online    │ 0%       │ 368.3mb  │ simon-p… │ disabled │\n│ 13 │ spbgit-tunnel           │ default     │ N/A     │ fork    │ 52196    │ 15D    │ 14   │ online    │ 0%       │ 469.2mb  │ simon-p… │ disabled │\n│ 14 │ tendril-api             │ default     │ 0.1.0   │ fork    │ 37275    │ 14D    │ 2    │ online    │ 0%       │ 65.4mb   │ simon-p… │ disabled │\n│ 15 │ tendril-ngrok           │ default     │ N/A     │ fork    │ 37273    │ 14D    │ 25   │ online    │ 0%       │ 56.1mb   │ simon-p… │ disabled │\n│ 24 │ toit-ka-etl             │ default     │ N/A     │ fork    │ 81797    │ 8D     │ 1    │ online    │ 0%       │ 856.8mb  │ simon-p… │ disabled │\n│ 25 │ toit-ka-ngrok           │ default     │ N/A     │ fork    │ 81808    │ 8D     │ 1    │ online    │ 0%       │ 357.8mb  │ simon-p… │ disabled │\n│ 23 │ toit-ka-web             │ default     │ N/A     │ fork    │ 81787    │ 8D     │ 1    │ online    │ 0%       │ 270.3mb  │ simon-p… │ disabled │\n│ 9  │ valoplex                │ default     │ 0.1.0   │ fork    │ 31928    │ 47h    │ 13   │ online    │ 0%       │ 180.2mb  │ simon-p… │ disabled │\n│ 10 │ valoplex-ngrok          │ default     │ N/A     │ fork    │ 44406    │ 16D    │ 0    │ online    │ 0%       │ 146.1mb  │ simon-p… │ disabled │\n│ 7  │ vrai-prix               │ default     │ 0.1.0   │ fork    │ 87423    │ 0s     │ 70   │ online    │ 0%       │ 448.0kb  │ simon-p… │ disabled │\n│ 35 │ vrai-prix-ingest        │ default     │ 0.1.0   │ fork    │ 0        │ 0      │ 0    │ stopped   │ 0%       │ 0b       │ simon-p… │ disabled │\n│ 8  │ vrai-prix-ngrok         │ default     │ N/A     │ fork    │ 43436    │ 16D    │ 0    │ online    │ 0%       │ 575.2mb  │ simon-p… │ disabled │\n│ 19 │ worthdoing-ngrok        │ default     │ N/A     │ fork    │ 9281     │ 13D    │ 0    │ online    │ 0%       │ 110.7mb  │ simon-p… │ disabled │\n│ 18 │ worthdoing-web          │ default     │ N/A     │ fork    │ 8791     │ 13D    │ 0    │ online    │ 0%       │ 159.0mb  │ simon-p… │ disabled │\n└────┴─────────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n┌────┬─────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name                    │ namespace   │ version │ mode    │ pid      │ uptime │ ↺    │ status    │ cpu      │ mem      │ user     │ watching │\n├────┼─────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 20 │ forma-ka                │ default     │ N/A     │ fork    │ 15380    │ 12D    │ 0    │ online    │ 0%       │ 95.2mb   │ simon-p… │ disabled │\n│ 22 │ forma-ka-ngrok          │ default     │ N/A     │ fork    │ 25150    │ 13D    │ 0    │ online    │ 0%       │ 172.4mb  │ simon-p… │ disabled │\n│ 21 │ forma-ka-sync           │ default     │ N/A     │ fork    │ 63676    │ 3D     │ 1    │ online    │ 0%       │ 160.8mb  │ simon-p… │ disabled │\n│ 0  │ hilmacorp               │ default     │ 1.0.0   │ fork    │ 14508    │ 19D    │ 3    │ online    │ 0%       │ 119.6mb  │ simon-p… │ disabled │\n│ 1  │ hilmacorp-ngrok         │ default     │ N/A     │ fork    │ 2960     │ 19D    │ 0    │ online    │ 0%       │ 145.1mb  │ simon-p… │ disabled │","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c3431d18-374e-4d03-b91a-2cb58d2aeef4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"0dbf4d4e-87b7-4fd0-b7d0-86fe78fb2c31","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":110,"estimated_tokens_delta":60,"uuid":"82a468c2-2f00-4cd4-ac07-b30c25c1fa47","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAuqUH9VDbnGYPiUP3n","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3706,"cache_read_input_tokens":261179,"cache_creation":{"ephemeral_5m_input_tokens":3706,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3a3e465c-ffeb-47f0-a49f-6c931e45fcc9","request_id":"req_011CeQAumwwtweWkQuhsj2dK"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAuqUH9VDbnGYPiUP3n","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L7PPCchKMW8BqRiy9vnMgk","name":"Bash","input":{"command":"sleep 3; pm2 env 7 2>/dev/null | grep -i \"^PORT\\|^next\\|PM2_\" | head -3; curl -s -o /dev/null -w \"local: %{http_code}\\n\" http://localhost:$(pm2 env 7 2>/dev/null | grep '^PORT:' | awk '{print $2}' || echo 3000)/ ; curl -s -o /dev/null -w \"prod: %{http_code}\\n\" https://www.vrai-prix.com/ && curl -s https://www.vrai-prix.com/ | grep -o \"Terminal public de valeur immobilière\" | head -1","description":"Healthcheck local port and live site","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3706,"cache_read_input_tokens":261179,"cache_creation":{"ephemeral_5m_input_tokens":3706,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b3c00d4a-fc8d-414c-ba8b-b3479868e87d","request_id":"req_011CeQAumwwtweWkQuhsj2dK"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"by5cceks0","tool_use_id":"toolu_01L7PPCchKMW8BqRiy9vnMgk","description":"Healthcheck local port and live site","task_type":"local_bash","uuid":"4d754ee1-d0a7-4214-b988-26f39fcf438c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"by5cceks0","tool_use_id":"toolu_01L7PPCchKMW8BqRiy9vnMgk","status":"completed","output_file":"","summary":"Healthcheck local port and live site","uuid":"c04b65a3-3732-429a-aa6a-7630d37e14ba","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L7PPCchKMW8BqRiy9vnMgk","type":"tool_result","content":"PM2_USAGE: CLI\nPM2_HOME: /Users/simon-pierreboucher/.pm2\nlocal: 000\nprod: 200\nTerminal public de valeur immobilière","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"396653be-2ff2-48e7-832c-5b3902bb8cf9","timestamp":"2026-08-25T21:24:46.096Z","tool_use_result":{"stdout":"PM2_USAGE: CLI\nPM2_HOME: /Users/simon-pierreboucher/.pm2\nlocal: 000\nprod: 200\nTerminal public de valeur immobilière","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c4bf2449-dc54-4154-9471-4458d634e490","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"50831258-82a0-4f98-8cc8-e170379d581d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"ad02dd98-8cdb-47fc-ab9d-e5f06c967f25","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":168,"estimated_tokens_delta":18,"uuid":"86544117-42a6-4d01-b419-7cf170ab6f8a","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAvfZkLhkpu4MxjWw2D","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":444,"cache_read_input_tokens":264885,"cache_creation":{"ephemeral_5m_input_tokens":444,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"771fb1bb-1d7d-4099-8f97-17743d11f1f5","request_id":"req_011CeQAvc7dR9uTYQiGsFX4m"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAvfZkLhkpu4MxjWw2D","type":"message","role":"assistant","content":[{"type":"text","text":"Le site en production sert déjà la nouvelle interface. Commit + push vers spbgit :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":444,"cache_read_input_tokens":264885,"cache_creation":{"ephemeral_5m_input_tokens":444,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"da8470ed-fc07-4930-b865-cc2437ecb5ce","request_id":"req_011CeQAvc7dR9uTYQiGsFX4m"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAvfZkLhkpu4MxjWw2D","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W9yd4dHFi1VrDAgzFkgfLZ","name":"Bash","input":{"command":"git status --short && git add -A && git commit -m \"refonte v2 « terminal éditorial » : hero encre pleine largeur, recherche centrale CTA rouge, graphique marché multi-séries interactif (palette CVD validée), flux de ventes prix-d'abord, rapport de valeur recomposé (grands chiffres, sections à filets), méthodologie article + chaîne de calcul, header compact, zéro ombre décalée/carte superflue\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push origin main 2>&1 | tail -3","description":"Commit redesign and push to spbgit origin","timeout":60000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":444,"cache_read_input_tokens":264885,"cache_creation":{"ephemeral_5m_input_tokens":444,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fc6ad333-7319-4a22-83cf-7377b5a2eb78","request_id":"req_011CeQAvc7dR9uTYQiGsFX4m"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W9yd4dHFi1VrDAgzFkgfLZ","type":"tool_result","content":" M src/app/HomeClient.tsx\n M src/app/compte/CompteClient.tsx\n M src/app/globals.css\n M src/app/layout.tsx\n M src/app/methodologie/MethodologieClient.tsx\n M src/app/municipalite/[slug]/[type]/page.tsx\n M src/app/municipalite/[slug]/page.tsx\n M src/app/page.tsx\n M src/components/AccountButton.tsx\n M src/components/CookieConsent.tsx\n M src/components/HeaderNav.tsx\n M src/components/KaChat.tsx\n M src/components/LangContext.tsx\n M src/components/LeadForm.tsx\n M src/components/MetricViz.tsx\n M src/components/ResultView.tsx\n M src/components/SearchBox.tsx\n M src/components/StatsDashboard.tsx\n M src/components/StatsView.tsx\n[main 983557a] refonte v2 « terminal éditorial » : hero encre pleine largeur, recherche centrale CTA rouge, graphique marché multi-séries interactif (palette CVD validée), flux de ventes prix-d'abord, rapport de valeur recomposé (grands chiffres, sections à filets), méthodologie article + chaîne de calcul, header compact, zéro ombre décalée/carte superflue\n 19 files changed, 1398 insertions(+), 803 deletions(-)\nTo /Users/simon-pierreboucher/srv/git/vrai-prix.git\n   8279c57..983557a  main -> main","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d1daf58f-40e9-4da6-852f-1966a5eebfd7","timestamp":"2026-08-25T21:24:55.973Z","tool_use_result":{"stdout":" M src/app/HomeClient.tsx\n M src/app/compte/CompteClient.tsx\n M src/app/globals.css\n M src/app/layout.tsx\n M src/app/methodologie/MethodologieClient.tsx\n M src/app/municipalite/[slug]/[type]/page.tsx\n M src/app/municipalite/[slug]/page.tsx\n M src/app/page.tsx\n M src/components/AccountButton.tsx\n M src/components/CookieConsent.tsx\n M src/components/HeaderNav.tsx\n M src/components/KaChat.tsx\n M src/components/LangContext.tsx\n M src/components/LeadForm.tsx\n M src/components/MetricViz.tsx\n M src/components/ResultView.tsx\n M src/components/SearchBox.tsx\n M src/components/StatsDashboard.tsx\n M src/components/StatsView.tsx\n[main 983557a] refonte v2 « terminal éditorial » : hero encre pleine largeur, recherche centrale CTA rouge, graphique marché multi-séries interactif (palette CVD validée), flux de ventes prix-d'abord, rapport de valeur recomposé (grands chiffres, sections à filets), méthodologie article + chaîne de calcul, header compact, zéro ombre décalée/carte superflue\n 19 files changed, 1398 insertions(+), 803 deletions(-)\nTo /Users/simon-pierreboucher/srv/git/vrai-prix.git\n   8279c57..983557a  main -> main","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"gitOperation":{"commit":{"sha":"983557a","kind":"committed"},"push":{"branch":"main"}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"01324336-7a94-469c-9ffe-4ab2abd153bf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAwPgo8c2zzwmQZckEP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01La3x1zffGnx1MWbTTEQ4WG","name":"TaskUpdate","input":{"taskId":"10","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":405,"cache_creation_input_tokens":1020,"cache_read_input_tokens":265329,"cache_creation":{"ephemeral_5m_input_tokens":1020,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1692fe0a-3e69-4174-a426-0856c7ace281","request_id":"req_011CeQAwLFfu9hTdNa8BL6Ea"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01La3x1zffGnx1MWbTTEQ4WG","type":"tool_result","content":"Updated task #10 status"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ea0404aa-a41b-4633-b1a5-842fff766a2c","timestamp":"2026-08-25T21:24:59.495Z","tool_use_result":{"success":true,"taskId":"10","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0bca8fe4-8b3d-4d8b-8bb0-e79a146c3c8c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"c33936c9-6177-4098-a52f-bcc04483aba8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"e495756b-e313-4d3a-b227-a60021eb822c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":168,"estimated_tokens_delta":18,"uuid":"ac0c6444-dc9a-4d1b-80e4-4a771bd15beb","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAwejB2xjPVmxQhAq78","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":491,"cache_read_input_tokens":266349,"cache_creation":{"ephemeral_5m_input_tokens":491,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"abe65a37-6a0d-420e-9967-5d760245fecf","request_id":"req_011CeQAwbSUnY5hRR9ZnqkdA"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAwejB2xjPVmxQhAq78","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EjY2FkywrD5bnTwNwQGdNk","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-vrai-prix/memory/vrai-prix-design-v2-terminal-editorial.md","content":"---\nname: vrai-prix-design-v2-terminal-editorial\ndescription: Refonte visuelle 2026-08-25 — langage « terminal éditorial » (Bloomberg×FT), règles à respecter pour toute UI future\nmetadata:\n  type: project\n---\n\nLe 2026-08-25, refonte majeure du front (commit 983557a) : l'ancien néo-brutalisme (bordures 1,5 px, ombres décalées `--shadow-off`, pilules, `.hl` incliné) a été remplacé par un langage « terminal éditorial » défini dans `src/app/globals.css`. Ne PAS réintroduire d'ombres dures, de gros border-radius ni de cards empilées.\n\n**Why:** demande explicite de l'utilisateur — Vrai Prix doit ressembler à Bloomberg × FT × outil institutionnel, pas à une landing SaaS générée par IA.\n\n**How to apply:**\n- Hiérarchie par filets (`.sec` = filet 2 px + numéro mono rouge `.sec-num`), hairlines `var(--line)`, radius 0-2 px, grands chiffres display.\n- Rouge signal : `--accent` #d8372e (papier) / `--accent-bright` #ff5148 (sur encre) ; réservé à l'info importante, jamais en remplissage. `--lime` reste un alias de l'accent (compat ka-ui).\n- Palette graphiques (validée dataviz : CVD 28,6, contraste ≥3:1) : `--chart-1` #141814 Unifamiliale · `--chart-2` #d8372e Condo · `--chart-3` #6b736d Plex — attribution FIXE + étiquettes directes masquées sous `sm` (légende + colonnes de lecture portent l'identité en mobile).\n- Aplats encre pleine largeur : `.bleed` + `.vp-dark` (héro accueil, bloc lead du rapport).\n- Le widget flottant `public/ka-agent.js` est synchronisé depuis ka-ui : ne pas le restyler localement. `src/ka/tokens.css` (ka-ui) garde les anciennes ombres — surchargées localement, ne pas y toucher.\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":491,"cache_read_input_tokens":266349,"cache_creation":{"ephemeral_5m_input_tokens":491,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c586b48e-3f2f-4115-b308-021bdbb5629c","request_id":"req_011CeQAwbSUnY5hRR9ZnqkdA"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EjY2FkywrD5bnTwNwQGdNk","type":"tool_result","content":"File created successfully at: /Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-vrai-prix/memory/vrai-prix-design-v2-terminal-editorial.md (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"eed8fad8-868a-462b-b6e4-d235fe8ccbe5","timestamp":"2026-08-25T21:25:17.091Z","tool_use_result":{"type":"create","filePath":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-vrai-prix/memory/vrai-prix-design-v2-terminal-editorial.md","content":"---\nname: vrai-prix-design-v2-terminal-editorial\ndescription: \"Refonte visuelle 2026-08-25 — langage « terminal éditorial » (Bloomberg×FT), règles à respecter pour toute UI future\"\nmetadata: \n  node_type: memory\n  type: project\n  originSessionId: f87c431b-f807-4817-aa3b-fed5030ef380\n---\n\nLe 2026-08-25, refonte majeure du front (commit 983557a) : l'ancien néo-brutalisme (bordures 1,5 px, ombres décalées `--shadow-off`, pilules, `.hl` incliné) a été remplacé par un langage « terminal éditorial » défini dans `src/app/globals.css`. Ne PAS réintroduire d'ombres dures, de gros border-radius ni de cards empilées.\n\n**Why:** demande explicite de l'utilisateur — Vrai Prix doit ressembler à Bloomberg × FT × outil institutionnel, pas à une landing SaaS générée par IA.\n\n**How to apply:**\n- Hiérarchie par filets (`.sec` = filet 2 px + numéro mono rouge `.sec-num`), hairlines `var(--line)`, radius 0-2 px, grands chiffres display.\n- Rouge signal : `--accent` #d8372e (papier) / `--accent-bright` #ff5148 (sur encre) ; réservé à l'info importante, jamais en remplissage. `--lime` reste un alias de l'accent (compat ka-ui).\n- Palette graphiques (validée dataviz : CVD 28,6, contraste ≥3:1) : `--chart-1` #141814 Unifamiliale · `--chart-2` #d8372e Condo · `--chart-3` #6b736d Plex — attribution FIXE + étiquettes directes masquées sous `sm` (légende + colonnes de lecture portent l'identité en mobile).\n- Aplats encre pleine largeur : `.bleed` + `.vp-dark` (héro accueil, bloc lead du rapport).\n- Le widget flottant `public/ka-agent.js` est synchronisé depuis ka-ui : ne pas le restyler localement. `src/ka/tokens.css` (ka-ui) garde les anciennes ombres — surchargées localement, ne pas y toucher.\n","structuredPatch":[],"originalFile":null,"userModified":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAwejB2xjPVmxQhAq78","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T1LikncADkZRFFvA9eNwGG","name":"Bash","input":{"command":"cd /Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-vrai-prix/memory && printf -- \"- [Design v2 terminal éditorial](vrai-prix-design-v2-terminal-editorial.md) — règles de la refonte 2026-08-25, palette graphiques validée\\n\" >> MEMORY.md","description":"Add memory index entry"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":491,"cache_read_input_tokens":266349,"cache_creation":{"ephemeral_5m_input_tokens":491,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2db4c964-6db1-4edf-8ed9-4007ba27dcbb","request_id":"req_011CeQAwbSUnY5hRR9ZnqkdA"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T1LikncADkZRFFvA9eNwGG","type":"tool_result","content":"Shell cwd was reset to /Users/simon-pierreboucher/apps/vrai-prix","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"86742a2a-2911-40d2-95d0-b44d8f9ec5f8","timestamp":"2026-08-25T21:25:18.620Z","tool_use_result":{"stdout":"","stderr":"\nShell cwd was reset to /Users/simon-pierreboucher/apps/vrai-prix","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"fadfec73-e6b2-4eb1-8807-a593db1948a6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAy4NkA6Geuf3keXtUv","type":"message","role":"assistant","content":[{"type":"text","text":"Refonte majeure livrée, déployée et poussée — www.vrai-prix.com sert déjà la nouvelle interface (commit `983557a`, 19 fichiers, +1398/−803).\n\n## Ce qui a changé\n\n**Système de design** (`globals.css` réécrit) — le néo-brutalisme (bordures épaisses, ombres décalées, pilules, cards) est remplacé par un langage « terminal éditorial » : filets fins, radius 0–2 px, zéro ombre dure, grands chiffres display, rouge réservé au signal. Les classes existantes ont été redéfinies plutôt que supprimées, donc **toutes** les pages (stats, carte, parc, favoris, municipalités…) héritent du nouveau look d'un coup.\n\n**Héro** — aplat encre pleine largeur : « LA VRAIE VALEUR. / SANS BOÎTE NOIRE. » en signature (vraie en outline, la 2ᵉ ligne en rouge vif), recherche = action centrale avec grand champ souligné + CTA rouge « Estimer → », et les compteurs (3 747 008 / 745 119 / ventes 30 j / 1 100) intégrés en rangée de preuves sous un filet — plus de pills.\n\n**Marché** — les trois grosses cartes identiques sont devenues **une** section éditoriale : graphique multi-séries comparant Maison/Condo/Plex sur une même échelle, toggle de période (12 mois / 24 mois / depuis 2021, séries complètes désormais envoyées par le serveur), crosshair + infobulle au pointeur et au toucher, étiquettes directes en fin de ligne (desktop), colonnes de variations par type. Palette validée avec le validateur dataviz (séparation CVD 28,6, contraste ≥ 3:1) : encre/rouge/gris à attribution fixe. Le sélecteur de **région** n'a pas été ajouté : l'indice n'existe qu'à l'échelle provinciale par type dans la base — il faudrait un nouvel endpoint si tu le veux.\n\n**Ventes réelles** — plus de tableau HTML : flux prix-d'abord (prix en gros, adresse, date · type · écart vs rôle en rouge si négatif, « Voir l'estimation → »), chaque rangée cliquable.\n\n**Rapport de valeur** (estimation) — masthead de rapport (fil VRAI-PRIX / RAPPORT DE VALEUR / n° d'unité), estimation en chiffres géants (jusqu'à 96 px), fourchette P10-P90 redessinée (losange rouge, ticks, rôle en tiret), colonne de lecture (jauge de confiance avec pointe rouge, rôle, écart) séparée par un filet, sections numérotées 01–06, tableau comparables éditorial, bloc « alerte » final sur encre.\n\n**Méthodologie** — titre « Voici exactement comment le prix est calculé », chaîne de calcul en 6 étapes d'un coup d'œil sous le titre, puis les 7 sections en article (grand numéro rouge en marge) au lieu de cards. La même timeline 6 étapes existe sur l'accueil (section 03).\n\n**Navigation** — header compact 56 px, wordmark « Vrai Prix ▪ », liens mono avec soulignement rouge actif, KA ID et langue intégrés discrètement ; menu mobile plein écran sur encre. Le ticker reste (très Bloomberg), raffiné. Le bouton flottant Ka n'a pas été touché : `ka-agent.js` est synchronisé depuis ka-ui, le restyler ici créerait une divergence.\n\n**Vérifié** : build Next OK, 15 tests passent, captures Playwright à 390 px et 1360 px sur accueil/rapport/méthodologie (2 correctifs faits suite aux captures : placeholder héro tronqué, étiquettes de graphique illisibles en mobile), `pm2 restart vrai-prix`, healthcheck prod 200 avec le nouveau contenu, push vers spbgit."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1393,"cache_read_input_tokens":266840,"cache_creation":{"ephemeral_5m_input_tokens":1393,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"29c5ed5d-8ba3-42ce-89c7-14be2e1e764d","request_id":"req_011CeQAy1D14XZWXLVhXynDh"}}
{"type":"claude","event":{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":1457016,"duration_api_ms":1374296,"ttft_ms":5186,"ttft_stream_ms":2807,"time_to_request_ms":64,"num_turns":139,"result":"Refonte majeure livrée, déployée et poussée — www.vrai-prix.com sert déjà la nouvelle interface (commit `983557a`, 19 fichiers, +1398/−803).\n\n## Ce qui a changé\n\n**Système de design** (`globals.css` réécrit) — le néo-brutalisme (bordures épaisses, ombres décalées, pilules, cards) est remplacé par un langage « terminal éditorial » : filets fins, radius 0–2 px, zéro ombre dure, grands chiffres display, rouge réservé au signal. Les classes existantes ont été redéfinies plutôt que supprimées, donc **toutes** les pages (stats, carte, parc, favoris, municipalités…) héritent du nouveau look d'un coup.\n\n**Héro** — aplat encre pleine largeur : « LA VRAIE VALEUR. / SANS BOÎTE NOIRE. » en signature (vraie en outline, la 2ᵉ ligne en rouge vif), recherche = action centrale avec grand champ souligné + CTA rouge « Estimer → », et les compteurs (3 747 008 / 745 119 / ventes 30 j / 1 100) intégrés en rangée de preuves sous un filet — plus de pills.\n\n**Marché** — les trois grosses cartes identiques sont devenues **une** section éditoriale : graphique multi-séries comparant Maison/Condo/Plex sur une même échelle, toggle de période (12 mois / 24 mois / depuis 2021, séries complètes désormais envoyées par le serveur), crosshair + infobulle au pointeur et au toucher, étiquettes directes en fin de ligne (desktop), colonnes de variations par type. Palette validée avec le validateur dataviz (séparation CVD 28,6, contraste ≥ 3:1) : encre/rouge/gris à attribution fixe. Le sélecteur de **région** n'a pas été ajouté : l'indice n'existe qu'à l'échelle provinciale par type dans la base — il faudrait un nouvel endpoint si tu le veux.\n\n**Ventes réelles** — plus de tableau HTML : flux prix-d'abord (prix en gros, adresse, date · type · écart vs rôle en rouge si négatif, « Voir l'estimation → »), chaque rangée cliquable.\n\n**Rapport de valeur** (estimation) — masthead de rapport (fil VRAI-PRIX / RAPPORT DE VALEUR / n° d'unité), estimation en chiffres géants (jusqu'à 96 px), fourchette P10-P90 redessinée (losange rouge, ticks, rôle en tiret), colonne de lecture (jauge de confiance avec pointe rouge, rôle, écart) séparée par un filet, sections numérotées 01–06, tableau comparables éditorial, bloc « alerte » final sur encre.\n\n**Méthodologie** — titre « Voici exactement comment le prix est calculé », chaîne de calcul en 6 étapes d'un coup d'œil sous le titre, puis les 7 sections en article (grand numéro rouge en marge) au lieu de cards. La même timeline 6 étapes existe sur l'accueil (section 03).\n\n**Navigation** — header compact 56 px, wordmark « Vrai Prix ▪ », liens mono avec soulignement rouge actif, KA ID et langue intégrés discrètement ; menu mobile plein écran sur encre. Le ticker reste (très Bloomberg), raffiné. Le bouton flottant Ka n'a pas été touché : `ka-agent.js` est synchronisé depuis ka-ui, le restyler ici créerait une divergence.\n\n**Vérifié** : build Next OK, 15 tests passent, captures Playwright à 390 px et 1360 px sur accueil/rapport/méthodologie (2 correctifs faits suite aux captures : placeholder héro tronqué, étiquettes de graphique illisibles en mobile), `pm2 restart vrai-prix`, healthcheck prod 200 avec le nouveau contenu, push vers spbgit.","stop_reason":"end_turn","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","total_cost_usd":22.790069500000005,"usage":{"input_tokens":5566,"cache_creation_input_tokens":352849,"cache_read_input_tokens":12911655,"output_tokens":108198,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":352849},"inference_geo":"global","iterations":[{"input_tokens":2,"output_tokens":1400,"cache_read_input_tokens":266840,"cache_creation_input_tokens":1393,"cache_creation":{"ephemeral_5m_input_tokens":1393,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-haiku-4-5-20251001":{"inputTokens":2157,"outputTokens":17,"cacheReadInputTokens":0,"cacheCreationInputTokens":0,"webSearchRequests":0,"costUSD":0.002242,"contextWindow":200000,"maxOutputTokens":32000},"claude-fable-5":{"inputTokens":5566,"outputTokens":108198,"cacheReadInputTokens":12911655,"cacheCreationInputTokens":352849,"webSearchRequests":0,"costUSD":22.787827500000006,"contextWindow":1000000,"maxOutputTokens":64000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"1d9edb62-0b64-4579-954d-ea1b7a9bd8a7"}}
{"type":"status","state":"idle"}
{"type":"status","state":"running"}
{"type":"user_prompt","text":"Corrigé tout les problème de lettrage et aussi j’aimerais que le ka agent soit remplacé par le même système que les autre site une bulle que Quang tu ouvr c’est fil screen , Prompt — Corriger le problème de lettrage blanc sur Vrai Prix\n\nCorrige le problème visuel dans la page Méthodologie de Vrai Prix : le gros titre « COMMENT LE PRIX EST CALCULÉ » apparaît en blanc sur un fond très pâle, ce qui donne un contraste presque nul et rend le texte difficile à lire.\n\nJe veux conserver l’effet éditorial fort du hero, mais corriger complètement la lisibilité.\n\nÀ faire\n\n* Ne jamais utiliser de texte blanc directement sur le fond off-white actuel.\n* Conserver la hiérarchie :\n    * VOICI EXACTEMENT en noir profond\n    * COMMENT LE PRIX EST CALCULÉ comme élément accentué\n* Pour la partie accentuée, utiliser soit :\n    * texte noir sur surlignage rouge pâle,\n    * texte rouge foncé sur fond transparent,\n    * ou texte off-white uniquement si le fond derrière devient un vrai rouge suffisamment foncé.\n* Garantir un contraste fort sur mobile et desktop.\n* Éviter l’effet actuel où le texte disparaît dans le surlignage.\n* Vérifier aussi tous les autres titres du site utilisant ce même composant/style afin qu’aucun texte blanc ne se retrouve sur un fond trop clair.\n* Préserver le style brutaliste/éditorial de Vrai Prix sans simplifier le design.\n\nLe rendu cible doit rester spectaculaire, mais être parfaitement lisible au premier coup d’œil, particulièrement sur iPhone.\n\nImportant : corrige le composant/style à la source, pas seulement cette occurrence précise, afin que le problème ne réapparaisse pas ailleurs.","ts":1787693235092}
{"type":"claude","event":{"type":"system","subtype":"init","cwd":"/Users/simon-pierreboucher/apps/vrai-prix","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","tools":["Task","Bash","CronCreate","CronDelete","CronList","DesignSync","Edit","EnterWorktree","ExitWorktree","Monitor","NotebookEdit","PushNotification","Read","ReportFindings","ScheduleWakeup","SendMessage","Skill","TaskCreate","TaskGet","TaskList","TaskOutput","TaskStop","TaskUpdate","ToolSearch","WebFetch","WebSearch","Workflow","Write"],"mcp_servers":[{"name":"maclustr-cluster","status":"pending"},{"name":"drive","status":"pending"}],"model":"claude-fable-5","permissionMode":"bypassPermissions","slash_commands":["cluster","cluster-compute","cluster-deploy","cluster-deploy-app","cluster-run","cluster-status","deep-research","design-sync","dataviz","update-config","verify","debug","code-review","simplify","batch","fewer-permission-prompts","loop","claude-api","run","run-skill-generator","agents","clear","compact","config","context","heapdump","init","__remote-workflow","reload-skills","review","security-review","usage","insights","recap","goal","design","design-consent","design-revoke","team-onboarding"],"apiKeySource":"ANTHROPIC_API_KEY","claude_code_version":"2.1.204","output_style":"default","agents":["claude","Explore","general-purpose","Plan","statusline-setup"],"skills":["deep-research","design-sync","dataviz","update-config","verify","debug","code-review","simplify","batch","fewer-permission-prompts","loop","claude-api","run","run-skill-generator"],"plugins":[],"analytics_disabled":false,"product_feedback_disabled":false,"uuid":"3aa1ba3c-66fe-469f-87b6-17cc33850353","memory_paths":{"auto":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-vrai-prix/memory/"},"fast_mode_state":"off"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"80d546c2-0b51-4c5d-9fc6-22bc3b492de6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"d35c76ce-5339-4781-892f-ea96bd3644d8","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"3f21a1a5-d34a-4664-a2c1-bf94060f5ba6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"d80fc234-7a3b-4397-8d91-118dba2fe861","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"ab0c054f-b0ee-451f-9f00-1fc1735ce29e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"6733fdeb-2d0e-4463-9c94-ef8c40ce76e9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"cdbacecc-7e67-4ad1-adcf-01645773d893","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"4b18214b-d670-406a-b289-6836a5110fa6","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":50,"uuid":"b64e01c6-3f97-4f65-b120-33e193a60024","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":150,"uuid":"3cd0c72d-572d-462f-a8ae-0090dfa32536","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":100,"uuid":"c40d027f-0164-4202-a9ac-3503e8cd20c1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB7fnwpyixscDHccCX6","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":144,"cache_creation_input_tokens":240923,"cache_read_input_tokens":15292,"cache_creation":{"ephemeral_5m_input_tokens":240923,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"system_changed","cache_missed_input_tokens":175982}},"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7ebaaf36-c35c-432b-8085-d4742a63f14a","request_id":"req_011CeQB7dCg58r2zAMcBoGk6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB7fnwpyixscDHccCX6","type":"message","role":"assistant","content":[{"type":"text","text":"Deux chantiers : (1) corriger à la source le lettrage blanc du `.hl` (le titre accentué), (2) remplacer le widget ka-agent par le système bulle → plein écran des autres sites. Je commence par diagnostiquer les deux."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":144,"cache_creation_input_tokens":240923,"cache_read_input_tokens":15292,"cache_creation":{"ephemeral_5m_input_tokens":240923,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"system_changed","cache_missed_input_tokens":175982}},"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ea8a53b8-e6b9-4728-83fd-114143121c27","request_id":"req_011CeQB7dCg58r2zAMcBoGk6"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB7fnwpyixscDHccCX6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019PNbX938hbWpoZEhsyqNsv","name":"Bash","input":{"command":"grep -n \"\\.hl\" src/ka/tokens.css | head; grep -rn \"color\" src/ka/tokens.css | grep -n \"hl\" ","description":"Check ka-ui tokens.css .hl definition (source of white text)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":144,"cache_creation_input_tokens":240923,"cache_read_input_tokens":15292,"cache_creation":{"ephemeral_5m_input_tokens":240923,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"system_changed","cache_missed_input_tokens":175982}},"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"02ba41de-413a-4329-8c1e-1a6eaa20e416","request_id":"req_011CeQB7dCg58r2zAMcBoGk6"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019PNbX938hbWpoZEhsyqNsv","type":"tool_result","content":"141:.hl {","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1b04a6c8-800a-47ec-be8f-3c7545774a35","timestamp":"2026-08-25T21:27:38.518Z","tool_use_result":{"stdout":"141:.hl {","stderr":"","interrupted":false,"isImage":false,"returnCodeInterpretation":"No matches found","noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB7fnwpyixscDHccCX6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B6j3kfwNmuYA7KNzZ5P7ib","name":"Bash","input":{"command":"head -30 public/ka-agent.js; echo ====; for app in sorti-ka forma-ka toit-ka job-ka; do f=~/apps/$app/public/ka-agent.js; [ -f \"$f\" ] && echo \"== $app: $(head -5 \"$f\" | grep -o 'v[0-9.]*' | head -1) $(wc -l < \"$f\") lignes\"; done","description":"Compare ka-agent.js versions across apps on this node"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":144,"cache_creation_input_tokens":240923,"cache_read_input_tokens":15292,"cache_creation":{"ephemeral_5m_input_tokens":240923,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":{"cache_miss_reason":{"type":"system_changed","cache_missed_input_tokens":175982}},"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"335c4c3a-062b-4264-ac68-b32f8fe19c38","request_id":"req_011CeQB7dCg58r2zAMcBoGk6"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n/* Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n * ka-ui/agent/ka-agent.js — KA AGENT : widget de chat commun de l'écosystème\n * Groupe KA. Vanilla JS, zéro dépendance, injecté sur les 13 sites.\n *   <script>window.KA_AGENT={site:\"lou-ka\"}</script>\n *   <script src=\"/ka-agent.js\" defer></script>\n * v2 (2026-08-19) : ouverture directement PLEIN ÉCRAN (desktop et mobile,\n * bouton ▭ pour réduire en fenêtre sur desktop) ; sur téléphone le panneau se\n * cale sur window.visualViewport (le clavier ne fait plus grossir/défiler la\n * page — fond verrouillé par body position:fixed) ; rendu MARKDOWN complet en\n * streaming (titres, listes, tableaux, code, liens nommés, citations).\n * Flux SSE en direct depuis le backend central (texte token par token +\n * indicateur d'outil). Historique conservé en localStorage (par site).\n * v3 (2026-08-22) : bulle DÉPLAÇABLE au doigt/à la souris (pointer events,\n * seuil 6 px pour distinguer clic et glisser, bornée aux marges de l'écran,\n * position mémorisée par site en localStorage, re-bornée au resize) ; en mode\n * fenêtré le panneau s'ancre du côté où se trouve la bulle.\n * v4 (2026-08-25) : CARTES d'annonces cliquables (bloc ```ka-card — un JSON\n * par ligne : site/titre/sous_titre/prix/badge/image/lien) rendues aux\n * couleurs de la plateforme visée (palette écosystème embarquée), et CHOIX\n * de clarification (bloc ```ka-choix — {question, options[]}) rendus en\n * boutons : un clic envoie l'option comme message ; seuls les boutons de la\n * dernière bulle assistante restent actifs.\n * v4.2 (2026-08-25) : extraction des cartes/choix par ÉQUILIBRAGE D'ACCOLADES\n * (jsonObjects) — tous les objets JSON d'un bloc sont trouvés quelle que soit\n * la mise en forme (une ligne, aéré, tableau) et un bloc tronqué en plein\n * streaming rend toutes ses cartes complètes au lieu d'une seule.\n */\n(function () {\n  \"use strict\";\n  var CFG = window.KA_AGENT || {};\n(eval):1: === not found","is_error":true,"tool_use_id":"toolu_01B6j3kfwNmuYA7KNzZ5P7ib"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1f0d1043-8f6d-48df-b312-fb710d8e6f05","timestamp":"2026-08-25T21:27:40.402Z","tool_use_result":"Error: Exit code 1\n/* Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n * ka-ui/agent/ka-agent.js — KA AGENT : widget de chat commun de l'écosystème\n * Groupe KA. Vanilla JS, zéro dépendance, injecté sur les 13 sites.\n *   <script>window.KA_AGENT={site:\"lou-ka\"}</script>\n *   <script src=\"/ka-agent.js\" defer></script>\n * v2 (2026-08-19) : ouverture directement PLEIN ÉCRAN (desktop et mobile,\n * bouton ▭ pour réduire en fenêtre sur desktop) ; sur téléphone le panneau se\n * cale sur window.visualViewport (le clavier ne fait plus grossir/défiler la\n * page — fond verrouillé par body position:fixed) ; rendu MARKDOWN complet en\n * streaming (titres, listes, tableaux, code, liens nommés, citations).\n * Flux SSE en direct depuis le backend central (texte token par token +\n * indicateur d'outil). Historique conservé en localStorage (par site).\n * v3 (2026-08-22) : bulle DÉPLAÇABLE au doigt/à la souris (pointer events,\n * seuil 6 px pour distinguer clic et glisser, bornée aux marges de l'écran,\n * position mémorisée par site en localStorage, re-bornée au resize) ; en mode\n * fenêtré le panneau s'ancre du côté où se trouve la bulle.\n * v4 (2026-08-25) : CARTES d'annonces cliquables (bloc ```ka-card — un JSON\n * par ligne : site/titre/sous_titre/prix/badge/image/lien) rendues aux\n * couleurs de la plateforme visée (palette écosystème embarquée), et CHOIX\n * de clarification (bloc ```ka-choix — {question, options[]}) rendus en\n * boutons : un clic envoie l'option comme message ; seuls les boutons de la\n * dernière bulle assistante restent actifs.\n * v4.2 (2026-08-25) : extraction des cartes/choix par ÉQUILIBRAGE D'ACCOLADES\n * (jsonObjects) — tous les objets JSON d'un bloc sont trouvés quelle que soit\n * la mise en forme (une ligne, aéré, tableau) et un bloc tronqué en plein\n * streaming rend toutes ses cartes complètes au lieu d'une seule.\n */\n(function () {\n  \"use strict\";\n  var CFG = window.KA_AGENT || {};\n(eval):1: === not found"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"00b48416-21fb-429b-b0ae-badbd72c35a9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"b4bf360b-c4d1-4ea0-82fc-40243a8b9fbf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"6f7364eb-d3c8-4228-8dd8-edc6a29e45bf","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"1ddb3f58-5be2-4630-810b-152798b3efba","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"3199245d-2a97-48b2-88fb-b86bc65db1e4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"71bf4398-3aef-483b-a4a6-ad436f874551","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"79dae94b-a1bc-432e-ae88-d71340571267","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB9VyA46dGuYdS8kQY7","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2479,"cache_read_input_tokens":256215,"cache_creation":{"ephemeral_5m_input_tokens":2479,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c087c89f-bda2-4545-94e6-b92b1b619070","request_id":"req_011CeQB9THvb3JFKUZGKmPHr"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB9VyA46dGuYdS8kQY7","type":"message","role":"assistant","content":[{"type":"text","text":"Le widget local est déjà annoncé v4.2 plein écran — je compare avec les autres sites du nœud pour voir si la copie de vrai-prix diverge :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2479,"cache_read_input_tokens":256215,"cache_creation":{"ephemeral_5m_input_tokens":2479,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8cb6876f-fa71-44ee-9cae-523edab9eafb","request_id":"req_011CeQB9THvb3JFKUZGKmPHr"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB9VyA46dGuYdS8kQY7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014YvjHqbB6tgEtq34JeaNom","name":"Bash","input":{"command":"for app in vrai-prix sorti-ka forma-ka toit-ka job-ka valoplex; do f=\"$HOME/apps/$app/public/ka-agent.js\"; [ -f \"$f\" ] && echo \"$app  $(md5 -q \"$f\")  $(wc -l < \"$f\") lignes  $(grep -m1 -o 'v4[0-9.]*' \"$f\" | head -1)\"; done","description":"Compare ka-agent.js hashes across apps"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2479,"cache_read_input_tokens":256215,"cache_creation":{"ephemeral_5m_input_tokens":2479,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3efc1538-5347-44e6-b93e-34a527c12d96","request_id":"req_011CeQB9THvb3JFKUZGKmPHr"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nvrai-prix  1bb75323f57aa76831599383f2e91fd0       590 lignes  v4","is_error":true,"tool_use_id":"toolu_014YvjHqbB6tgEtq34JeaNom"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"caeb635d-bc67-48ad-8a38-74a8bf407518","timestamp":"2026-08-25T21:27:54.899Z","tool_use_result":"Error: Exit code 1\nvrai-prix  1bb75323f57aa76831599383f2e91fd0       590 lignes  v4"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQB9VyA46dGuYdS8kQY7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BZyHzf8urE3toYyLFFCHhk","name":"Bash","input":{"command":"sed -n 138,152p src/ka/tokens.css","description":"View .hl in ka-ui tokens.css"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2479,"cache_read_input_tokens":256215,"cache_creation":{"ephemeral_5m_input_tokens":2479,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"36d903e7-89f5-4e04-85ed-b3cd9dbf17af","request_id":"req_011CeQB9THvb3JFKUZGKmPHr"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BZyHzf8urE3toYyLFFCHhk","type":"tool_result","content":"  font-family: var(--font-mono); font-size: 10px; font-weight: 700;\n  text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3);\n}\n.hl {\n  display: inline-block; background: var(--accent); color: var(--on-accent);\n  border-radius: 8px; padding: 0 10px 2px; transform: rotate(-1deg);\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 2px var(--ink); }\n\n/* ---- Boutons (cible ≥ 44 px) ---- */\n.btn {\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n  min-height: var(--touch); padding: 10px 18px;\n  font-family: var(--font-display); font-weight: 700; font-size: 14px;\n  border: 1.5px solid var(--ink); border-radius: var(--r-ctl);","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6b371079-ee84-4861-a818-a982bdd6c322","timestamp":"2026-08-25T21:27:55.357Z","tool_use_result":{"stdout":"  font-family: var(--font-mono); font-size: 10px; font-weight: 700;\n  text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3);\n}\n.hl {\n  display: inline-block; background: var(--accent); color: var(--on-accent);\n  border-radius: 8px; padding: 0 10px 2px; transform: rotate(-1deg);\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 2px var(--ink); }\n\n/* ---- Boutons (cible ≥ 44 px) ---- */\n.btn {\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n  min-height: var(--touch); padding: 10px 18px;\n  font-family: var(--font-display); font-weight: 700; font-size: 14px;\n  border: 1.5px solid var(--ink); border-radius: var(--r-ctl);","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8845a8e8-aac0-4826-a2a2-3c9187a2842e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"165d70b8-9997-488a-9eab-5433ec7d9422","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"be0af9b2-fff5-44be-82b6-7d43e1c4ddb4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"aa69aac3-71cc-47b4-842d-81d757c19d81","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"b8dd34a3-f4a1-496f-8e1e-5bda87b5f484","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"9681f675-9d83-46be-8bc2-2c2bc41cd16f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":50,"uuid":"7df09923-f663-4e90-836a-4d61bb4d8175","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"0dc808db-ce5f-4b20-a892-cd1b609d08ce","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":100,"uuid":"09e8a29c-c533-4523-91ef-6af80989b860","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"75c9035d-5c88-4345-8eaa-bf5373d8a957","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"d9667be8-7251-481f-9be5-10e71b2d1247","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":900,"estimated_tokens_delta":50,"uuid":"02c414b3-2421-4f07-8e0c-024142ae6a9c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBAccnUrKHrFVHuiRSZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1301,"cache_read_input_tokens":258694,"cache_creation":{"ephemeral_5m_input_tokens":1301,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f3508d32-6d17-4db0-9e6f-c92e92f8d202","request_id":"req_011CeQBAZHrkLmP6pzZzNdm1"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBAccnUrKHrFVHuiRSZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1301,"cache_read_input_tokens":258694,"cache_creation":{"ephemeral_5m_input_tokens":1301,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1f155eda-1bb8-48ef-b88b-215f3f747e31","request_id":"req_011CeQBAZHrkLmP6pzZzNdm1"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBAccnUrKHrFVHuiRSZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019ikkP8L1oifFW1psuB5xff","name":"Bash","input":{"command":"ls ~/srv/git/ | head -20; git --git-dir=\"$HOME/srv/git/ka-ui.git\" log --oneline -5 2>/dev/null; git --git-dir=\"$HOME/srv/git/ka-ui.git\" show HEAD:agent/ka-agent.js 2>/dev/null | md5; git --git-dir=\"$HOME/srv/git/ka-ui.git\" show HEAD:agent/ka-agent.js 2>/dev/null | wc -l","description":"Check canonical ka-ui repo agent version"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1301,"cache_read_input_tokens":258694,"cache_creation":{"ephemeral_5m_input_tokens":1301,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"90362427-530a-43e6-a90b-bea91ef565ed","request_id":"req_011CeQBAZHrkLmP6pzZzNdm1"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019ikkP8L1oifFW1psuB5xff","type":"tool_result","content":"admin-ka-ios.git\nadmin-ka-macos.git\nadmin-ka.git\nair.git\nairiskindex.git\nanomaly-atlas.git\napi-ka.git\nartificial-neural-networks-book.git\nauto-ka.git\nchat-spboucher.git\ncoinexplorer.git\ncrea-ka.git\ndrive.git\nearth-now.git\nfabri-ka.git\nfocale.git\nfood-ka.git\nforge-studio.git\nforge.git\nforma-ka.git\n39e968d ka-agent v4.2 : extraction cartes/choix par equilibrage d accolades (jsonObjects) — toutes les cartes d un bloc rendues quelle que soit la mise en forme, blocs tronques inclus\na508e7c ka-agent v4.1 : cards() tolere aussi un bloc ka-card en JSON multi-lignes ou en tableau (filet streaming)\n0c910a8 ka-agent v4 : cartes d'annonces cliquables (bloc ka-card, palette écosystème embarquée, image/prix/badge) + choix de clarification en boutons (bloc ka-choix, clic = envoi), boutons actifs seulement dans la dernière bulle\n2912907 nav/ : règle ✕-dans-le-panneau + fix-mm-close.py (correctif 2026-08-25)\n36b608e nav/ : standard KA Nav v2 — menu mobile plein écran fixed (2026-08-25)\nfd73c5f754e18a8b2c353dbd6de3a7ef\n     589","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4e519d18-c7c5-47ad-8a81-a80d5aadfc63","timestamp":"2026-08-25T21:28:20.059Z","tool_use_result":{"stdout":"admin-ka-ios.git\nadmin-ka-macos.git\nadmin-ka.git\nair.git\nairiskindex.git\nanomaly-atlas.git\napi-ka.git\nartificial-neural-networks-book.git\nauto-ka.git\nchat-spboucher.git\ncoinexplorer.git\ncrea-ka.git\ndrive.git\nearth-now.git\nfabri-ka.git\nfocale.git\nfood-ka.git\nforge-studio.git\nforge.git\nforma-ka.git\n39e968d ka-agent v4.2 : extraction cartes/choix par equilibrage d accolades (jsonObjects) — toutes les cartes d un bloc rendues quelle que soit la mise en forme, blocs tronques inclus\na508e7c ka-agent v4.1 : cards() tolere aussi un bloc ka-card en JSON multi-lignes ou en tableau (filet streaming)\n0c910a8 ka-agent v4 : cartes d'annonces cliquables (bloc ka-card, palette écosystème embarquée, image/prix/badge) + choix de clarification en boutons (bloc ka-choix, clic = envoi), boutons actifs seulement dans la dernière bulle\n2912907 nav/ : règle ✕-dans-le-panneau + fix-mm-close.py (correctif 2026-08-25)\n36b608e nav/ : standard KA Nav v2 — menu mobile plein écran fixed (2026-08-25)\nfd73c5f754e18a8b2c353dbd6de3a7ef\n     589","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBAccnUrKHrFVHuiRSZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0144ZE3tgZWp7CGNjzmv2rXj","name":"Bash","input":{"command":"for d in \"$HOME/apps/sorti-ka\" \"$HOME/apps/forma-ka\" \"$HOME/apps/toit-ka\" \"$HOME/apps/job-ka\"; do f=$(find \"$d\" -maxdepth 3 -name \"ka-agent.js\" -not -path \"*/node_modules/*\" 2>/dev/null | head -1); if [ -n \"$f\" ]; then echo \"$d -> $f $(md5 -q \"$f\") $(wc -l < \"$f\")\"; fi; done; true","description":"Locate ka-agent.js in sibling apps"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1301,"cache_read_input_tokens":258694,"cache_creation":{"ephemeral_5m_input_tokens":1301,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a16de292-da74-495f-930d-0f9358a2655b","request_id":"req_011CeQBAZHrkLmP6pzZzNdm1"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0144ZE3tgZWp7CGNjzmv2rXj","type":"tool_result","content":"/Users/simon-pierreboucher/apps/sorti-ka -> /Users/simon-pierreboucher/apps/sorti-ka/frontend/ka-agent.js f80be5708d656c6dd2462b773110912c      590\n/Users/simon-pierreboucher/apps/job-ka -> /Users/simon-pierreboucher/apps/job-ka/frontend/dist/ka-agent.js fd6091617031a0f52fa6a823dc6d8c79      590","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1b223965-e2b8-4d44-8506-255e56c31e19","timestamp":"2026-08-25T21:28:22.049Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/sorti-ka -> /Users/simon-pierreboucher/apps/sorti-ka/frontend/ka-agent.js f80be5708d656c6dd2462b773110912c      590\n/Users/simon-pierreboucher/apps/job-ka -> /Users/simon-pierreboucher/apps/job-ka/frontend/dist/ka-agent.js fd6091617031a0f52fa6a823dc6d8c79      590","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"11b8dbdb-53f3-432c-ad68-0b52a2ad88d5","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"93a0ef78-88a6-4d70-9433-952df1d27f1d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"a9e368d2-ffbe-418d-9fc7-e4b75d5233e0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"abe4daf3-14e6-4255-8e14-a6c557b28b23","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":255,"estimated_tokens_delta":5,"uuid":"2fe36adf-32ce-4156-ba3f-677abff6c84f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBCazrUqt1gvfbhQMvR","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":403,"cache_creation_input_tokens":2264,"cache_read_input_tokens":259995,"cache_creation":{"ephemeral_5m_input_tokens":2264,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7cf38b3e-47f4-43d9-a3ad-25e0c7d29764","request_id":"req_011CeQBCXJc21t4jPUDVWGLM"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBCazrUqt1gvfbhQMvR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019xVX4sKJ3Zk7cfYSxeowxc","name":"Bash","input":{"command":"git --git-dir=\"$HOME/srv/git/ka-ui.git\" show HEAD:agent/ka-agent.js > /tmp/ka-agent-canonical.js && diff /tmp/ka-agent-canonical.js public/ka-agent.js | head -40; echo \"---sorti---\"; diff /tmp/ka-agent-canonical.js \"$HOME/apps/sorti-ka/frontend/ka-agent.js\" | head -10","description":"Diff vrai-prix and sorti-ka agent copies vs canonical ka-ui"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":403,"cache_creation_input_tokens":2264,"cache_read_input_tokens":259995,"cache_creation":{"ephemeral_5m_input_tokens":2264,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a43d6c69-c22c-45f4-8a6f-2823dca1c1d4","request_id":"req_011CeQBCXJc21t4jPUDVWGLM"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019xVX4sKJ3Zk7cfYSxeowxc","type":"tool_result","content":"589a590\n> /*KA_ANALYTICS*/(function(){try{if(window.__kaAn)return;window.__kaAn=1;var k=\"KA_VID\",v=localStorage.getItem(k);if(!v){v=Date.now().toString(36)+Math.random().toString(36).slice(2,8);localStorage.setItem(k,v);}var b=function(){var i=new Image();i.src=\"https://www.administration-ka.com/collect?site=vrai-prix&vid=\"+v+\"&p=\"+encodeURIComponent(location.pathname)+\"&t=\"+Date.now();};b();setInterval(b,60000);}catch(e){}})();\n---sorti---\n589a590\n> /*KA_ANALYTICS*/(function(){try{if(window.__kaAn)return;window.__kaAn=1;var k=\"KA_VID\",v=localStorage.getItem(k);if(!v){v=Date.now().toString(36)+Math.random().toString(36).slice(2,8);localStorage.setItem(k,v);}var b=function(){var i=new Image();i.src=\"https://www.administration-ka.com/collect?site=sorti-ka&vid=\"+v+\"&p=\"+encodeURIComponent(location.pathname)+\"&t=\"+Date.now();};b();setInterval(b,60000);}catch(e){}})();","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7aa322cf-d1bd-4167-841e-1464904ef474","timestamp":"2026-08-25T21:28:32.641Z","tool_use_result":{"stdout":"589a590\n> /*KA_ANALYTICS*/(function(){try{if(window.__kaAn)return;window.__kaAn=1;var k=\"KA_VID\",v=localStorage.getItem(k);if(!v){v=Date.now().toString(36)+Math.random().toString(36).slice(2,8);localStorage.setItem(k,v);}var b=function(){var i=new Image();i.src=\"https://www.administration-ka.com/collect?site=vrai-prix&vid=\"+v+\"&p=\"+encodeURIComponent(location.pathname)+\"&t=\"+Date.now();};b();setInterval(b,60000);}catch(e){}})();\n---sorti---\n589a590\n> /*KA_ANALYTICS*/(function(){try{if(window.__kaAn)return;window.__kaAn=1;var k=\"KA_VID\",v=localStorage.getItem(k);if(!v){v=Date.now().toString(36)+Math.random().toString(36).slice(2,8);localStorage.setItem(k,v);}var b=function(){var i=new Image();i.src=\"https://www.administration-ka.com/collect?site=sorti-ka&vid=\"+v+\"&p=\"+encodeURIComponent(location.pathname)+\"&t=\"+Date.now();};b();setInterval(b,60000);}catch(e){}})();","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"539da363-3c19-4587-a4ce-47b66dfec96e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"989224db-5a43-49c8-ab63-d94fb09c8318","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"9cbd91b3-a728-4bf0-84f0-5ce6fb24ba37","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"35b1f0a7-d424-4c15-981d-8d64ac7a43e0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"abd36a3f-7dd0-4743-999f-1d759e3116ec","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"093bdac3-0e30-4779-ab39-98969008b7f4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":50,"uuid":"dad656d8-cca5-4003-86de-d88f26e76673","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":100,"uuid":"8bded81d-5a3f-48a6-8116-95cac5258f09","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":650,"estimated_tokens_delta":50,"uuid":"ae9bd4d6-bb7e-490d-ac2d-01be8b6941e3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":100,"uuid":"1823e6b8-594c-41f3-acab-5e3091547e2b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"863566bb-bed8-4239-9519-6640f9e79586","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":100,"uuid":"3e04f41a-0198-41d9-ac59-3b6873360378","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1050,"estimated_tokens_delta":100,"uuid":"c8fc962b-fcb8-41af-a387-048a4350dfd0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":100,"uuid":"f63c1326-037a-442e-bccc-6a12a7d30e65","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"671ec5af-cdab-41c5-b3db-0124cdec94fb","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":100,"uuid":"e99dde27-9f25-4cfc-a67b-f669124d8487","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":100,"uuid":"2e95b274-a1c3-437c-bca9-515b2b249484","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1500,"estimated_tokens_delta":50,"uuid":"40060be1-6dcb-40e6-95ea-f35c2758486e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBDMNLYMMKZyraQVP8z","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1396,"cache_read_input_tokens":262259,"cache_creation":{"ephemeral_5m_input_tokens":1396,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4ff4d6bc-8c96-450a-a957-adf24473224e","request_id":"req_011CeQBDJgcb3iz1u9jjxaDj"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBDMNLYMMKZyraQVP8z","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1396,"cache_read_input_tokens":262259,"cache_creation":{"ephemeral_5m_input_tokens":1396,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"bfd46fd0-ed94-4bf6-beab-e25b6d1c88e1","request_id":"req_011CeQBDJgcb3iz1u9jjxaDj"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBDMNLYMMKZyraQVP8z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SVZcm8zawax78PpNr3ky79","name":"Bash","input":{"command":"grep -n \"window\\.\\|addEventListener(\\\"click\\\"\\|function open\\|function toggle\\|KA_AGENT_\" public/ka-agent.js | head -25; grep -n \"fullscreen\\|plein\\|openPanel\\|fs()\" public/ka-agent.js | head -15","description":"Find widget open API and panel logic"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1396,"cache_read_input_tokens":262259,"cache_creation":{"ephemeral_5m_input_tokens":1396,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3d76b7b9-ecf8-4aff-add1-6116426ebb82","request_id":"req_011CeQBDJgcb3iz1u9jjxaDj"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SVZcm8zawax78PpNr3ky79","type":"tool_result","content":"4: *   <script>window.KA_AGENT={site:\"lou-ka\"}</script>\n8: * cale sur window.visualViewport (le clavier ne fait plus grossir/défiler la\n30:  var CFG = window.KA_AGENT || {};\n373:     fermeture) et le panneau se cale sur window.visualViewport : quand le\n376:  var fineInput = window.matchMedia(\"(hover: hover) and (pointer: fine)\");\n377:  var vv = window.visualViewport;\n397:      savedY = window.scrollY || 0;\n405:      window.scrollTo(0, savedY);\n425:      l: Math.min(Math.max(l, m), Math.max(m, window.innerWidth - w - m)),\n426:      t: Math.min(Math.max(t, m), Math.max(m, window.innerHeight - h - m)),\n435:    panel.classList.toggle(\"kaa-left\", p.l + (btn.offsetWidth || 58) / 2 < window.innerWidth / 2);\n470:  window.addEventListener(\"resize\", function () {\n481:  btn.addEventListener(\"click\", function (e) {\n488:  panel.querySelector(\".kaa-x2\").addEventListener(\"click\", function () {\n492:  panel.querySelector(\".kaa-x1\").addEventListener(\"click\", function () {\n577:  send.addEventListener(\"click\", ask);\n581:  logEl.addEventListener(\"click\", function (e) {                  /* clic sur un bouton de choix (v4) */\n590:/*KA_ANALYTICS*/(function(){try{if(window.__kaAn)return;window.__kaAn=1;var k=\"KA_VID\",v=localStorage.getItem(k);if(!v){v=Date.now().toString(36)+Math.random().toString(36).slice(2,8);localStorage.setItem(k,v);}var b=function(){var i=new Image();i.src=\"https://www.administration-ka.com/collect?site=vrai-prix&vid=\"+v+\"&p=\"+encodeURIComponent(location.pathname)+\"&t=\"+Date.now();};b();setInterval(b,60000);}catch(e){}})();\n25: * la mise en forme (une ligne, aéré, tableau) et un bloc tronqué en plein\n369:  /* ---------- plein écran + clavier mobile ----------\n371:     (desktop seulement — caché sur mobile). Tant que le plein écran est ouvert,\n483:    panel.classList.add(\"kaa-open\", \"kaa-full\"); // plein écran d'office","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"cd4529e7-d836-4840-b8c9-aafa2ebf8994","timestamp":"2026-08-25T21:29:03.984Z","tool_use_result":{"stdout":"4: *   <script>window.KA_AGENT={site:\"lou-ka\"}</script>\n8: * cale sur window.visualViewport (le clavier ne fait plus grossir/défiler la\n30:  var CFG = window.KA_AGENT || {};\n373:     fermeture) et le panneau se cale sur window.visualViewport : quand le\n376:  var fineInput = window.matchMedia(\"(hover: hover) and (pointer: fine)\");\n377:  var vv = window.visualViewport;\n397:      savedY = window.scrollY || 0;\n405:      window.scrollTo(0, savedY);\n425:      l: Math.min(Math.max(l, m), Math.max(m, window.innerWidth - w - m)),\n426:      t: Math.min(Math.max(t, m), Math.max(m, window.innerHeight - h - m)),\n435:    panel.classList.toggle(\"kaa-left\", p.l + (btn.offsetWidth || 58) / 2 < window.innerWidth / 2);\n470:  window.addEventListener(\"resize\", function () {\n481:  btn.addEventListener(\"click\", function (e) {\n488:  panel.querySelector(\".kaa-x2\").addEventListener(\"click\", function () {\n492:  panel.querySelector(\".kaa-x1\").addEventListener(\"click\", function () {\n577:  send.addEventListener(\"click\", ask);\n581:  logEl.addEventListener(\"click\", function (e) {                  /* clic sur un bouton de choix (v4) */\n590:/*KA_ANALYTICS*/(function(){try{if(window.__kaAn)return;window.__kaAn=1;var k=\"KA_VID\",v=localStorage.getItem(k);if(!v){v=Date.now().toString(36)+Math.random().toString(36).slice(2,8);localStorage.setItem(k,v);}var b=function(){var i=new Image();i.src=\"https://www.administration-ka.com/collect?site=vrai-prix&vid=\"+v+\"&p=\"+encodeURIComponent(location.pathname)+\"&t=\"+Date.now();};b();setInterval(b,60000);}catch(e){}})();\n25: * la mise en forme (une ligne, aéré, tableau) et un bloc tronqué en plein\n369:  /* ---------- plein écran + clavier mobile ----------\n371:     (desktop seulement — caché sur mobile). Tant que le plein écran est ouvert,\n483:    panel.classList.add(\"kaa-open\", \"kaa-full\"); // plein écran d'office","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBDMNLYMMKZyraQVP8z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FeqHRWGBfAjVpkRpikoz2P","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1396,"cache_read_input_tokens":262259,"cache_creation":{"ephemeral_5m_input_tokens":1396,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7789937e-d8cc-4898-91a7-5ee69f134398","request_id":"req_011CeQBDJgcb3iz1u9jjxaDj"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeqHRWGBfAjVpkRpikoz2P","type":"tool_result","content":"1\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n2\t\"use client\";\n3\timport KaChat from \"@/components/KaChat\";\n4\timport { useLang } from \"@/components/LangContext\";\n5\t\n6\texport default function KaHero() {\n7\t  const { lang } = useLang();\n8\t  const fr = lang === \"fr\";\n9\t\n10\t  const powers = fr\n11\t    ? [\n12\t        [\"12 outils\", \"registre, moteur, marché\"],\n13\t        [\"3,7 M\", \"unités interrogeables\"],\n14\t        [\"En direct\", \"réponse en streaming\"],\n15\t      ]\n16\t    : [\n17\t        [\"12 tools\", \"registry, engine, market\"],\n18\t        [\"3.7M\", \"queryable units\"],\n19\t        [\"Live\", \"streaming answers\"],\n20\t      ];\n21\t\n22\t  return (\n23\t    <main className=\"relative z-[1] mx-auto w-full max-w-[1080px] px-4 pb-16 pt-10 sm:px-6\">\n24\t      <div className=\"mb-8 text-center\">\n25\t        <span className=\"kicker justify-center\">\n26\t          {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}\n27\t        </span>\n28\t        <h1 className=\"vp-display mx-auto mt-3 max-w-[620px] text-[34px] font-bold leading-[1.05] tracking-[-0.04em] sm:text-[46px]\">\n29\t          {fr ? (\n30\t            <>\n31\t              Jase avec <span className=\"hl\">Ka</span>, il connaît chaque adresse du Québec.\n32\t            </>\n33\t          ) : (\n34\t            <>\n35\t              Chat with <span className=\"hl\">Ka</span> — it knows every Québec address.\n36\t            </>\n37\t          )}\n38\t        </h1>\n39\t        <p className=\"mx-auto mt-3 max-w-[560px] text-[14.5px] text-ink-2\">\n40\t          {fr\n41\t            ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance.\"\n42\t            : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend.\"}\n43\t        </p>\n44\t        <div className=\"mt-5 flex flex-wrap justify-center gap-2.5\">\n45\t          {powers.map(([b, s]) => (\n46\t            <span key={b} className=\"stat-chip\">\n47\t              <b>{b}</b> {s}\n48\t            </span>\n49\t          ))}\n50\t        </div>\n51\t      </div>\n52\t\n53\t      <KaChat />\n54\t    </main>\n55\t  );\n56\t}\n57\t"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"39622606-b38d-4856-8437-9c8e50a75215","timestamp":"2026-08-25T21:29:04.646Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport KaChat from \"@/components/KaChat\";\nimport { useLang } from \"@/components/LangContext\";\n\nexport default function KaHero() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n\n  const powers = fr\n    ? [\n        [\"12 outils\", \"registre, moteur, marché\"],\n        [\"3,7 M\", \"unités interrogeables\"],\n        [\"En direct\", \"réponse en streaming\"],\n      ]\n    : [\n        [\"12 tools\", \"registry, engine, market\"],\n        [\"3.7M\", \"queryable units\"],\n        [\"Live\", \"streaming answers\"],\n      ];\n\n  return (\n    <main className=\"relative z-[1] mx-auto w-full max-w-[1080px] px-4 pb-16 pt-10 sm:px-6\">\n      <div className=\"mb-8 text-center\">\n        <span className=\"kicker justify-center\">\n          {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}\n        </span>\n        <h1 className=\"vp-display mx-auto mt-3 max-w-[620px] text-[34px] font-bold leading-[1.05] tracking-[-0.04em] sm:text-[46px]\">\n          {fr ? (\n            <>\n              Jase avec <span className=\"hl\">Ka</span>, il connaît chaque adresse du Québec.\n            </>\n          ) : (\n            <>\n              Chat with <span className=\"hl\">Ka</span> — it knows every Québec address.\n            </>\n          )}\n        </h1>\n        <p className=\"mx-auto mt-3 max-w-[560px] text-[14.5px] text-ink-2\">\n          {fr\n            ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance.\"\n            : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend.\"}\n        </p>\n        <div className=\"mt-5 flex flex-wrap justify-center gap-2.5\">\n          {powers.map(([b, s]) => (\n            <span key={b} className=\"stat-chip\">\n              <b>{b}</b> {s}\n            </span>\n          ))}\n        </div>\n      </div>\n\n      <KaChat />\n    </main>\n  );\n}\n","numLines":57,"startLine":1,"totalLines":57}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"783d0447-c423-4621-b90a-4d0c3c0b98d0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"63afa402-54a2-4050-a89d-f390422dc9c7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"1aac1f65-6a8c-4efd-b38b-c45b05402ef9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":50,"uuid":"b92480f5-c49c-4478-b0cc-2a5dc24a3f93","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"2994743b-9e7c-4ebe-ad6b-305acd38260c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"5429e09c-a27d-4991-aed3-aff6ebe4db56","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"b4c1e293-8e52-43fb-a5c0-9ac469f7164c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"a251094d-bd39-4067-8db4-785965efd89f","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBFj7qhq38eZtPiq5vu","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3769,"cache_read_input_tokens":263655,"cache_creation":{"ephemeral_5m_input_tokens":3769,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d93434dd-036f-4486-9bd1-25e4920d6115","request_id":"req_011CeQBFfcFwqGYD5VW85Xj2"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBFj7qhq38eZtPiq5vu","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3769,"cache_read_input_tokens":263655,"cache_creation":{"ephemeral_5m_input_tokens":3769,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d3f9c0e0-a990-43fd-ab72-d7857cd16d8d","request_id":"req_011CeQBFfcFwqGYD5VW85Xj2"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBFj7qhq38eZtPiq5vu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013mwCiAuyzssJVvVVuKumQu","name":"Bash","input":{"command":"grep -n \"kaa-btn\\|createElement(\\\"button\\\")\\|className\\s*=\\|class=\\\"kaa\" public/ka-agent.js | head -12; sed -n 476,495p public/ka-agent.js","description":"Find widget bubble class and open handler"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3769,"cache_read_input_tokens":263655,"cache_creation":{"ephemeral_5m_input_tokens":3769,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"76e97119-f353-4ceb-846b-be780b010ccd","request_id":"req_011CeQBFfcFwqGYD5VW85Xj2"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013mwCiAuyzssJVvVVuKumQu","type":"tool_result","content":"38:  .kaa-btn{position:fixed;right:18px;bottom:calc(18px + env(safe-area-inset-bottom,0px));z-index:2147483000;width:58px;height:58px;\n43:  .kaa-btn:hover{transform:translate(-2px,-2px)}\n44:  .kaa-btn.kaa-drag{transition:none;cursor:grabbing}\n45:  .kaa-btn.kaa-drag:hover{transform:none}\n196:      html += '<a class=\"kaa-card\" href=\"' + esc(o.lien) + '\" target=\"_blank\" rel=\"noopener noreferrer\"' +\n198:        (img ? '<span class=\"kaa-card-img\" style=\"background-image:url(&quot;' + esc(img) + '&quot;)\"></span>' : \"\") +\n199:        '<span class=\"kaa-card-body\"><span class=\"kaa-card-top\">' +\n200:        '<span class=\"kaa-card-site\">' + esc(pal[0]) + \"</span>\" +\n201:        (o.badge ? '<span class=\"kaa-card-badge\">' + esc(String(o.badge)) + \"</span>\" : \"\") +\n203:        '<span class=\"kaa-card-title\">' + esc(String(o.titre)) + \"</span>\" +\n204:        (o.sous_titre ? '<span class=\"kaa-card-sub\">' + esc(String(o.sous_titre)) + \"</span>\" : \"\") +\n205:        (o.prix ? '<span class=\"kaa-card-price\">' + esc(String(o.prix)) + \"</span>\" : \"\") +\n    var p = null;\n    try { p = JSON.parse(localStorage.getItem(POSKEY) || \"null\"); } catch (e) {}\n    if (p && typeof p.l === \"number\" && typeof p.t === \"number\") applyPos(p.l, p.t);\n  })();\n\n  btn.addEventListener(\"click\", function (e) {\n    if (drag.moved) { drag.moved = false; e.preventDefault(); return; } // fin de glisser, pas un clic\n    panel.classList.add(\"kaa-open\", \"kaa-full\"); // plein écran d'office\n    render();\n    if (fineInput.matches) ta.focus();\n    sync();\n  });\n  panel.querySelector(\".kaa-x2\").addEventListener(\"click\", function () {\n    panel.classList.remove(\"kaa-open\", \"kaa-full\");\n    sync();\n  });\n  panel.querySelector(\".kaa-x1\").addEventListener(\"click\", function () {\n    panel.classList.toggle(\"kaa-full\");\n    sync();\n    scroll();","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"88fb8725-05cb-4215-9d1c-8a5e62e04366","timestamp":"2026-08-25T21:29:19.851Z","tool_use_result":{"stdout":"38:  .kaa-btn{position:fixed;right:18px;bottom:calc(18px + env(safe-area-inset-bottom,0px));z-index:2147483000;width:58px;height:58px;\n43:  .kaa-btn:hover{transform:translate(-2px,-2px)}\n44:  .kaa-btn.kaa-drag{transition:none;cursor:grabbing}\n45:  .kaa-btn.kaa-drag:hover{transform:none}\n196:      html += '<a class=\"kaa-card\" href=\"' + esc(o.lien) + '\" target=\"_blank\" rel=\"noopener noreferrer\"' +\n198:        (img ? '<span class=\"kaa-card-img\" style=\"background-image:url(&quot;' + esc(img) + '&quot;)\"></span>' : \"\") +\n199:        '<span class=\"kaa-card-body\"><span class=\"kaa-card-top\">' +\n200:        '<span class=\"kaa-card-site\">' + esc(pal[0]) + \"</span>\" +\n201:        (o.badge ? '<span class=\"kaa-card-badge\">' + esc(String(o.badge)) + \"</span>\" : \"\") +\n203:        '<span class=\"kaa-card-title\">' + esc(String(o.titre)) + \"</span>\" +\n204:        (o.sous_titre ? '<span class=\"kaa-card-sub\">' + esc(String(o.sous_titre)) + \"</span>\" : \"\") +\n205:        (o.prix ? '<span class=\"kaa-card-price\">' + esc(String(o.prix)) + \"</span>\" : \"\") +\n    var p = null;\n    try { p = JSON.parse(localStorage.getItem(POSKEY) || \"null\"); } catch (e) {}\n    if (p && typeof p.l === \"number\" && typeof p.t === \"number\") applyPos(p.l, p.t);\n  })();\n\n  btn.addEventListener(\"click\", function (e) {\n    if (drag.moved) { drag.moved = false; e.preventDefault(); return; } // fin de glisser, pas un clic\n    panel.classList.add(\"kaa-open\", \"kaa-full\"); // plein écran d'office\n    render();\n    if (fineInput.matches) ta.focus();\n    sync();\n  });\n  panel.querySelector(\".kaa-x2\").addEventListener(\"click\", function () {\n    panel.classList.remove(\"kaa-open\", \"kaa-full\");\n    sync();\n  });\n  panel.querySelector(\".kaa-x1\").addEventListener(\"click\", function () {\n    panel.classList.toggle(\"kaa-full\");\n    sync();\n    scroll();","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"90864b0d-7023-43ff-9a3e-abd01bc30cc0","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"5ee88db4-c491-478c-9c15-71665fbe30a1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":50,"uuid":"108a00ef-168b-47c1-906f-913551a45346","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"875e50c0-0b37-45f9-b285-226c92a5fa25","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"67e2ecbb-5880-4102-a91a-4ffbc8b24178","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"8ffbdd58-d816-41b8-b9f0-13a6876f1c16","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"f0ab5584-ee5e-474d-85f1-d6746bcd06ca","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"d07f41b6-2d8d-4dea-b25c-4d714b298517","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"ac502531-a802-4f9d-a41c-1aaa3d5260f7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":100,"uuid":"fdf1525a-8a0f-4fad-a6bc-430686e8282b","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBGq63PaQbkXXm6xTw6","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1686,"cache_read_input_tokens":267424,"cache_creation":{"ephemeral_5m_input_tokens":1686,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a72b736e-fa0c-44a7-ba3d-d3809d37ab68","request_id":"req_011CeQBGnTnptLnVicY8LqYb"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBGq63PaQbkXXm6xTw6","type":"message","role":"assistant","content":[{"type":"text","text":"Plan clair. J'applique : (1) fix `.hl` à la source (couleur héritée — noir sur surlignage rouge pâle, off-white sur encre), (2) `/ka` bascule sur le widget standard :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1686,"cache_read_input_tokens":267424,"cache_creation":{"ephemeral_5m_input_tokens":1686,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1dc6708f-fda6-431d-9fa2-2a1068c42acd","request_id":"req_011CeQBGnTnptLnVicY8LqYb"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBGq63PaQbkXXm6xTw6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B8DY4tWSS6nVu9aDFjyTge","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","old_string":"/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */\n.hl {\n  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}","new_string":"/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée).\n   ⚠️ `color: inherit` est OBLIGATOIRE : le .hl de ka-ui (tokens.css) impose\n   color: var(--on-accent) = blanc — illisible sur papier. Ici le texte garde\n   la couleur du titre (encre sur papier, off-white sur .vp-dark). */\n.hl {\n  background: linear-gradient(transparent 62%, rgba(216, 55, 46, 0.32) 62%);\n  color: inherit;\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1686,"cache_read_input_tokens":267424,"cache_creation":{"ephemeral_5m_input_tokens":1686,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ec435846-c7d0-4ee8-b7f9-b25cb4a87a23","request_id":"req_011CeQBGnTnptLnVicY8LqYb"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B8DY4tWSS6nVu9aDFjyTge","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"48fd16d2-120d-4b46-907a-cd7ffa0a8111","timestamp":"2026-08-25T21:29:46.291Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/globals.css","oldString":"/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */\n.hl {\n  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}","newString":"/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée).\n   ⚠️ `color: inherit` est OBLIGATOIRE : le .hl de ka-ui (tokens.css) impose\n   color: var(--on-accent) = blanc — illisible sur papier. Ici le texte garde\n   la couleur du titre (encre sur papier, off-white sur .vp-dark). */\n.hl {\n  background: linear-gradient(transparent 62%, rgba(216, 55, 46, 0.32) 62%);\n  color: inherit;\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}","originalFile":"/* -----------------------------------------------------------------------------\n  Vrai-Prix — estimation immobilière transparente (Québec)\n  Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n  Système de design « terminal éditorial » v2 — Bloomberg × FT data × institutionnel :\n    · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono\n    · Signature : filets fins (hairlines), grands chiffres, compositions asymétriques,\n      encre profonde + rouge signal réservé à l'information importante\n    · Zéro ombre décalée, zéro pilule, radius 0-2 px — la donnée fait le décor\n----------------------------------------------------------------------------- */\n@import \"tailwindcss\";\n/* ka-ui (Groupe KA) — tokens + composants communs (.gk-badge, .ka-footer, .card…).\n   Importé dans layer(base) AVANT le corps de ce fichier : il bat le preflight\n   Tailwind mais reste sous les utilitaires (layered) et sous nos règles locales\n   (non-layered). Un import brut dans layout.tsx écraserait les text-[…]/leading-[…]\n   des titres (règles éléments non-layered > utilitaires layered). */\n@import \"../ka/tokens.css\" layer(base);\n\n:root {\n  /* ---- Accent Vrai-Prix (tokens canoniques ka-ui) — identité rouge ---- */\n  --accent: #d8372e;        /* rouge signal éditorial (lisible sur papier) */\n  --accent-bright: #ff5148; /* rouge vif — marqueurs, points de donnée sur encre */\n  --accent-soft: #ffe3e0;\n  --accent-deep: #9e2a25;\n  --on-accent: #ffffff;\n\n  --paper: #f5f3ee;\n  --surface: #ffffff;\n  --surface-2: #faf9f5;\n  --ink: #141814;\n  --ink-2: #4d5551;\n  --ink-3: #8b928c;\n  --line: rgba(20, 24, 20, 0.14);\n  --line-soft: rgba(20, 24, 20, 0.08);\n  --line-strong: rgba(20, 24, 20, 0.85);\n  --green: #9e2a25;\n  --green-deep: #771f1b;\n  --lime: var(--accent); /* alias historiques → l'accent est le token canonique */\n  --lime-soft: var(--accent-soft);\n  --amber: #e8a33d;\n  --amber-soft: #fdf3e2;\n  --danger: #b3423a;\n  --danger-soft: #fbe9e7;\n  /* série de graphiques (palette validée : CVD 28,6 · contraste ≥3:1) */\n  --chart-1: #141814; /* unifamiliale */\n  --chart-2: #d8372e; /* condo */\n  --chart-3: #6b736d; /* plex */\n  --r-card: 2px;\n  --r-ctl: 2px;\n  --shadow-flat: 0 1px 2px rgba(20, 24, 20, 0.05);\n  /* ombres décalées héritées — aplaties : le v2 ne porte aucune ombre dure */\n  --shadow-off: 0 1px 2px rgba(20, 24, 20, 0.08);\n  --shadow-off-soft: none;\n  --shadow-off-mid: 0 1px 2px rgba(20, 24, 20, 0.08);\n  /* encre légèrement plus profonde pour les aplats pleine largeur */\n  --ink-deep: #101410;\n  --paper-on-ink: #edeae2;\n}\n\n@theme inline {\n  --color-paper: var(--paper);\n  --color-surface: var(--surface);\n  --color-surface-2: var(--surface-2);\n  --color-ink: var(--ink);\n  --color-ink-2: var(--ink-2);\n  --color-ink-3: var(--ink-3);\n  --color-green: var(--green);\n  --color-green-deep: var(--green-deep);\n  --color-lime: var(--lime);\n  --color-lime-soft: var(--lime-soft);\n  --color-amber: var(--amber);\n  --color-amber-soft: var(--amber-soft);\n  --color-danger: var(--danger);\n  --color-accent: var(--accent);\n  --color-accent-deep: var(--accent-deep);\n  --color-accent-bright: var(--accent-bright);\n  --font-display: var(--font-space-grotesk), system-ui, sans-serif;\n  --font-body: var(--font-inter), system-ui, sans-serif;\n  --font-mono: var(--font-jetbrains), ui-monospace, monospace;\n}\n\n/* compat ka-ui : tokens.css impose marges + tailles fluides aux titres ; le\n   design local dimensionne les siens via utilitaires → on rétablit le\n   comportement preflight (même layer, source postérieure = prioritaire). */\n@layer base {\n  h1, h2, h3, h4 { margin: 0; font-size: inherit; line-height: inherit; }\n}\n\nhtml { scroll-behavior: smooth; }\nbody {\n  background: var(--paper);\n  color: var(--ink);\n  font-family: var(--font-inter), system-ui, sans-serif;\n  font-size: 15px;\n  line-height: 1.55;\n  -webkit-font-smoothing: antialiased;\n  padding-bottom: env(safe-area-inset-bottom);\n}\n/* grain subtil — texture signature (discret, presque imperceptible) */\nbody::before {\n  content: \"\";\n  position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.22;\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E\");\n}\n/* au-dessus du grain (::before positionné, premier dans l'ordre de peinture) ;\n   surtout PAS de z-index ici : une règle hors @layer écraserait les utilitaires\n   Tailwind (échelle --z-* de tokens.css : header 500, menu 900) */\nbody > * { position: relative; }\n\nh1, h2, h3, h4 {\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n  letter-spacing: -0.03em;\n}\n::selection { background: var(--ink); color: var(--paper); }\n\n/* ---------- primitives signature ---------- */\n.vp-display { font-family: var(--font-space-grotesk), system-ui, sans-serif; }\n.vp-mono { font-family: var(--font-jetbrains), ui-monospace, monospace; }\n\n/* pleine largeur depuis un conteneur centré (héro, bandes encre) */\n.bleed { width: 100vw; margin-left: calc(50% - 50vw); }\n\n/* aplat encre : héro, blocs terminal */\n.vp-dark { background: var(--ink-deep); color: var(--paper-on-ink); }\n.vp-dark ::selection { background: var(--accent-bright); color: var(--ink); }\n\n.kicker {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 500; text-transform: uppercase;\n  letter-spacing: 0.16em; color: var(--accent);\n  display: inline-flex; align-items: center; gap: 9px;\n}\n.kicker::before { content: \"\"; width: 20px; height: 1.5px; background: var(--accent); }\n\n.klabel {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em;\n  color: var(--ink-3); font-weight: 500;\n}\n\n/* en-tête de section éditorial : filet fort + numéro mono */\n.sec {\n  border-top: 2px solid var(--ink);\n  padding-top: 14px;\n}\n.sec-num {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; font-weight: 700; color: var(--accent);\n  letter-spacing: 0.1em;\n}\n\n/* carte héritée — aplatie : surface + hairline, aucune ombre */\n.vp-card {\n  background: var(--surface);\n  border: 1px solid var(--line);\n  border-radius: var(--r-card);\n  box-shadow: none;\n}\n.vp-card-hover { transition: border-color 0.15s ease; }\n.vp-card-hover:hover { transform: none; box-shadow: none; border-color: var(--line-strong); }\n\n/* champ : soulignement éditorial (le cadre disparaît) */\n.vp-input {\n  border: 0; border-bottom: 1px solid var(--line-strong); background: transparent;\n  border-radius: 0; padding: 10px 2px; font-size: 15px;\n  color: var(--ink); outline: none; font-family: inherit; width: 100%;\n  transition: border-color 0.15s ease, box-shadow 0.15s ease; min-height: 44px;\n  appearance: none; -webkit-appearance: none;\n}\n.vp-input::placeholder { color: var(--ink-3); }\n.vp-input:focus { border-color: var(--accent); box-shadow: 0 1px 0 var(--accent); }\nselect.vp-input {\n  background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n  background-repeat: no-repeat; background-position: right 6px center; padding-right: 26px;\n}\n@media (max-width: 900px) { .vp-input { font-size: 16px; } } /* anti-zoom iOS */\n\n.btn {\n  border: 1px solid var(--ink); border-radius: var(--r-ctl); padding: 11px 22px;\n  font-weight: 600; font-size: 13.5px; cursor: pointer; min-height: 44px;\n  transition: background 0.15s ease, color 0.15s ease, border-color 0.15s ease;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: 0.02em;\n  display: inline-flex; align-items: center; justify-content: center; gap: 8px;\n}\n.btn:active { opacity: 0.85; }\n.btn-primary { background: var(--ink); color: var(--paper); }\n.btn-primary:hover { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-ghost { background: transparent; color: var(--ink); border-color: var(--line-strong); }\n.btn-ghost:hover { border-color: var(--accent); color: var(--accent-deep); }\n.btn-accent { background: var(--accent); border-color: var(--accent); color: #fff; }\n.btn-accent:hover { background: var(--accent-deep); border-color: var(--accent-deep); }\n\n/* preuve de données : chiffre fort + libellé mono, séparés par filets */\n.stat-chip {\n  background: transparent; border: 0; border-left: 1px solid var(--line);\n  border-radius: 0; padding: 2px 0 2px 14px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-2); display: inline-flex; gap: 7px; align-items: baseline;\n  box-shadow: none; white-space: nowrap;\n}\n.stat-chip:first-child { border-left: 0; padding-left: 0; }\n.stat-chip b {\n  color: var(--ink); font-weight: 700; font-size: 15px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif; letter-spacing: -0.01em;\n}\n.stat-chip .pulse {\n  width: 7px; height: 7px; border-radius: 50%; background: var(--accent);\n  align-self: center; animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 5px rgba(216, 55, 46, 0.18); } }\n\n/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */\n.hl {\n  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);\n  padding: 0 2px; border-radius: 0; display: inline; transform: none;\n}\n.outline-txt { color: transparent; -webkit-text-stroke: 1.5px var(--ink); }\n.vp-dark .outline-txt { -webkit-text-stroke: 1.5px var(--paper-on-ink); }\n\n/* ticker — bande de cotation (signature terminal) */\n.ticker {\n  background: var(--ink-deep); color: var(--paper-on-ink); overflow: hidden;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; letter-spacing: 0.09em; text-transform: uppercase;\n  padding: 6px 0; white-space: nowrap;\n}\n.ticker-track { display: inline-flex; animation: ticker 48s linear infinite; will-change: transform; }\n.ticker span { padding: 0 24px; position: relative; opacity: 0.85; }\n.ticker span::after { content: \"\"; position: absolute; right: -2px; top: 50%; width: 4px; height: 4px; transform: translateY(-50%) rotate(45deg); background: var(--accent-bright); opacity: 0.8; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n  .ticker-track { animation: none; }\n  * { transition-duration: 0.01ms !important; }\n}\n\n/* kv cells (fiche) — cellule de données éditoriale : filet haut, pas de boîte */\n.kv-cell {\n  background: transparent; border: 0; border-top: 1px solid var(--line);\n  border-radius: 0; padding: 8px 2px 2px;\n}\n.kv-cell .k {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em;\n  color: var(--ink-3); font-weight: 500;\n}\n.kv-cell .v {\n  font-weight: 700; font-size: 14.5px; margin-top: 2px;\n  font-family: var(--font-space-grotesk), system-ui, sans-serif;\n}\n\n/* pills (indice de confiance) — carrés, fins */\n.pill {\n  display: inline-block; border-radius: 2px; padding: 3px 9px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em;\n}\n.pill-conf-A { background: var(--ink); color: var(--paper); border: 1px solid var(--ink); }\n.pill-conf-B { background: transparent; color: var(--ink); border: 1px solid var(--line-strong); }\n.pill-conf-C { background: var(--amber-soft); color: #8a5a12; border: 1px solid var(--amber); }\n.pill-conf-D { background: var(--danger-soft); color: var(--danger); border: 1px solid var(--danger); }\n\n/* tableau éditorial — filets fins, en-tête discret, zéro cadre épais */\n.src-wrap {\n  overflow-x: auto; border: 0; border-top: 2px solid var(--ink); border-radius: 0;\n  box-shadow: none; background: transparent;\n}\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; }\n.src-table th {\n  text-align: left; font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10px; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3);\n  padding: 10px 12px 8px; border-bottom: 1px solid var(--line-strong); background: transparent;\n  white-space: nowrap; font-weight: 500;\n}\n.src-table td { padding: 12px; border-bottom: 1px solid var(--line); font-size: 13.5px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--surface-2); }\n\n/* flux de ventes (accueil) — rangée prix-d'abord */\n.feed-row {\n  display: block; border-bottom: 1px solid var(--line); padding: 14px 2px;\n  transition: background 0.12s ease;\n}\n.feed-row:hover { background: var(--surface-2); }\n\n/* onglets de contrôle (période / catégorie) */\n.vp-tab {\n  font-family: var(--font-jetbrains), ui-monospace, monospace;\n  font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.08em;\n  color: var(--ink-3); padding: 8px 2px 6px; border: 0; background: transparent;\n  border-bottom: 2px solid transparent; cursor: pointer; min-height: 34px;\n  transition: color 0.12s ease, border-color 0.12s ease;\n}\n.vp-tab:hover { color: var(--ink); }\n.vp-tab[aria-pressed=\"true\"], .vp-tab[aria-selected=\"true\"] {\n  color: var(--ink); border-bottom-color: var(--accent);\n}\n\n/* infobulle de graphique */\n.vv-tip {\n  position: absolute; pointer-events: none; z-index: 5;\n  background: var(--ink-deep); color: var(--paper-on-ink);\n  border-radius: 2px; padding: 8px 10px; min-width: 130px;\n  font-family: var(--font-jetbrains), ui-monospace, monospace; font-size: 10.5px;\n  box-shadow: 0 2px 10px rgba(20, 24, 20, 0.25);\n}\n.vv-tip .row { display: flex; align-items: center; justify-content: space-between; gap: 12px; padding: 1.5px 0; }\n.vv-tip .key { display: inline-block; width: 10px; height: 2px; margin-right: 6px; vertical-align: middle; }\n.vv-tip .val { font-weight: 700; color: #fff; }\n\n/* timeline méthodologie */\n.tl { position: relative; padding-left: 26px; }\n.tl::before {\n  content: \"\"; position: absolute; left: 7px; top: 6px; bottom: 6px;\n  width: 1px; background: var(--line-strong);\n}\n.tl-step { position: relative; padding: 0 0 26px; }\n.tl-step:last-child { padding-bottom: 0; }\n.tl-step::before {\n  content: \"\"; position: absolute; left: -24px; top: 5px; width: 9px; height: 9px;\n  background: var(--paper); border: 1.5px solid var(--ink); border-radius: 50%;\n}\n.tl-step[data-accent=\"true\"]::before { background: var(--accent); border-color: var(--accent); }\n\n/* animations de révélation */\n@keyframes rise {\n  from { opacity: 0; transform: translateY(10px); }\n  to { opacity: 1; transform: none; }\n}\n.rise { animation: rise 0.5s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes growX { from { transform: scaleX(0); } }\n.grow-x { transform-origin: left; animation: growX 0.9s cubic-bezier(0.2, 0.8, 0.2, 1) both; }\n@keyframes winPop { from { opacity: 0; } }\n.vv-win { animation: winPop 0.4s ease both; }\n@media (prefers-reduced-motion: reduce) {\n  .rise, .grow-x, .vv-win { animation: none; }\n}\n\n/* barres horizontales (historique) — fines, encre, millésime courant en rouge */\n.hbar-track { background: var(--line-soft); border-radius: 0; height: 12px; overflow: hidden; }\n.hbar-fill {\n  display: block; height: 100%; background: var(--ink); border-radius: 0;\n  min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--accent); }\n\n\n/* Vrai-Prix Maps (framework Ka Maps par Groupe Ka) — recherche par carte */\n.vpm-wrap {\n  position: relative;\n  height: 62vh;\n  min-height: 420px;\n  width: 100%;\n  border: 1px solid var(--line-strong);\n  border-radius: 2px;\n  overflow: hidden;\n  box-shadow: none;\n  z-index: 0;\n}\n.vpm-wrap .ka-map {\n  --ka-accent: var(--accent);\n  --ka-on-accent: #ffffff;\n  --ka-surface: var(--surface);\n  --ka-ink: var(--ink);\n  --ka-line: var(--line-strong);\n  --ka-radius: 2px;\n  --ka-shadow: 0 2px 10px rgba(20, 24, 20, 0.18);\n  --ka-font: var(--font-inter), system-ui, sans-serif;\n  position: absolute;\n  inset: 0;\n}\n.vpm-chip {\n  position: absolute;\n  bottom: 12px;\n  left: 12px;\n  z-index: 9;\n  background: var(--ink-deep);\n  color: var(--paper-on-ink);\n  border: 0;\n  border-radius: 2px;\n  padding: 6px 12px;\n  font-family: var(--font-jetbrains), monospace;\n  font-size: 10.5px;\n  text-transform: uppercase;\n  letter-spacing: 0.06em;\n}\n.vpm-pop { padding: 16px 16px 14px; min-width: 230px; }\n.vpm-pop-value {\n  font-family: var(--font-space-grotesk), sans-serif;\n  font-weight: 700;\n  font-size: 22px;\n  letter-spacing: -0.02em;\n  margin-top: 2px;\n}\n.vpm-pop-addr { font-size: 13.5px; color: var(--ink); margin-top: 6px; }\n.vpm-pop-meta { font-size: 12px; color: var(--ink-2); margin-top: 2px; }\n.vpm-pop-cta {\n  display: inline-block;\n  margin-top: 12px;\n  padding: 9px 14px;\n  background: var(--ink);\n  color: var(--paper);\n  border: 1px solid var(--ink);\n  border-radius: 2px;\n  font-size: 12.5px;\n  font-weight: 600;\n  cursor: pointer;\n}\n.vpm-pop-cta:active { opacity: 0.85; }\n","structuredPatch":[{"oldStart":209,"oldLines":9,"newStart":209,"newLines":13,"lines":[" }"," @keyframes pulse { 50% { box-shadow: 0 0 0 5px rgba(216, 55, 46, 0.18); } }"," ","-/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée) */","+/* surligné signature : marqueur rouge sous le texte (plus de boîte inclinée).","+   ⚠️ `color: inherit` est OBLIGATOIRE : le .hl de ka-ui (tokens.css) impose","+   color: var(--on-accent) = blanc — illisible sur papier. Ici le texte garde","+   la couleur du titre (encre sur papier, off-white sur .vp-dark). */"," .hl {","-  background: linear-gradient(transparent 64%, rgba(216, 55, 46, 0.3) 64%);","+  background: linear-gradient(transparent 62%, rgba(216, 55, 46, 0.32) 62%);","+  color: inherit;","   padding: 0 2px; border-radius: 0; display: inline; transform: none;"," }"," .outline-txt { color: transparent; -webkit-text-stroke: 1.5px var(--ink); }"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBGq63PaQbkXXm6xTw6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WXhvScbThQLbLzwETiwCHq","name":"Bash","input":{"command":"grep -n \"color: var(--on-accent)\\|color: var(--paper)\\|color:#fff\\|color: #fff\\|color:var(--paper)\\|color:var(--on-accent)\" src/ka/tokens.css | head -20; grep -rn \"KaChat\" src/ --include=\"*.tsx\" | grep -v \"components/KaChat\"","description":"Audit other white-text rules in tokens.css and KaChat usages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1686,"cache_read_input_tokens":267424,"cache_creation":{"ephemeral_5m_input_tokens":1686,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"42a58c76-70b6-4d78-857b-96e8c803a352","request_id":"req_011CeQBGnTnptLnVicY8LqYb"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WXhvScbThQLbLzwETiwCHq","type":"tool_result","content":"114:::selection { background: var(--accent); color: var(--on-accent); }\n142:  display: inline-block; background: var(--accent); color: var(--on-accent);\n162:.btn-accent { background: var(--accent); color: var(--on-accent); }\n183:.chip-accent { background: var(--accent); color: var(--on-accent); }\n216:.gk-badge--dark b { color: var(--paper); }\n221:.ka-footer .wordmark { font-family: var(--font-display); font-weight: 700; font-size: 30px; letter-spacing: -0.04em; color: var(--paper); text-decoration: none; }\n225:.ka-footer .notice b { color: var(--paper); }\nsrc/app/ka/KaHero.tsx:53:      <KaChat />","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"1632c64b-f1f9-4631-8eae-d2eac22fcedc","timestamp":"2026-08-25T21:29:48.268Z","tool_use_result":{"stdout":"114:::selection { background: var(--accent); color: var(--on-accent); }\n142:  display: inline-block; background: var(--accent); color: var(--on-accent);\n162:.btn-accent { background: var(--accent); color: var(--on-accent); }\n183:.chip-accent { background: var(--accent); color: var(--on-accent); }\n216:.gk-badge--dark b { color: var(--paper); }\n221:.ka-footer .wordmark { font-family: var(--font-display); font-weight: 700; font-size: 30px; letter-spacing: -0.04em; color: var(--paper); text-decoration: none; }\n225:.ka-footer .notice b { color: var(--paper); }\nsrc/app/ka/KaHero.tsx:53:      <KaChat />","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"bcfeb3ae-0c9a-441d-a45d-7ee65c86148d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2a522ace-5d0d-47cf-a844-fbfb7bfc3ebc","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"859f1339-8e04-4bde-b009-9855f7f2cbbe","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"594dbf98-6241-404f-9a55-cf8daf5be1a2","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":50,"uuid":"5089d65a-0ed8-4b3b-81f6-da235c7805ce","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"8e3b3859-91bd-42c2-a7be-061a86e0c068","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBJvmf3BKDCKwJiGDfv","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1942,"cache_read_input_tokens":269110,"cache_creation":{"ephemeral_5m_input_tokens":1942,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"65f553fb-e060-49bf-9b94-b819491bcabc","request_id":"req_011CeQBJt1iaXvQXhubvfoFo"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBJvmf3BKDCKwJiGDfv","type":"message","role":"assistant","content":[{"type":"text","text":"`.chip-accent` — vérification d'usage, puis réécriture de KaHero (widget standard) et suppression du chat maison :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1942,"cache_read_input_tokens":269110,"cache_creation":{"ephemeral_5m_input_tokens":1942,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"8aee3b20-a2a9-4af9-bea1-bf1b19d484c7","request_id":"req_011CeQBJt1iaXvQXhubvfoFo"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBJvmf3BKDCKwJiGDfv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DMqUV9fFehphmNxt3HpMkJ","name":"Bash","input":{"command":"grep -rn \"chip-accent\" src/ | head; grep -rln \"btn-accent\" src/ | head","description":"Check chip-accent/btn-accent usages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1942,"cache_read_input_tokens":269110,"cache_creation":{"ephemeral_5m_input_tokens":1942,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"10df2764-1ad2-40eb-bc11-654d6007e765","request_id":"req_011CeQBJt1iaXvQXhubvfoFo"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DMqUV9fFehphmNxt3HpMkJ","type":"tool_result","content":"src/ka/tokens.css:183:.chip-accent { background: var(--accent); color: var(--on-accent); }\nsrc/app/globals.css\nsrc/components/CookieConsent.tsx\nsrc/ka/tokens.css","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"a35e50f2-ee84-46d0-af02-108e18d1f88d","timestamp":"2026-08-25T21:30:03.224Z","tool_use_result":{"stdout":"src/ka/tokens.css:183:.chip-accent { background: var(--accent); color: var(--on-accent); }\nsrc/app/globals.css\nsrc/components/CookieConsent.tsx\nsrc/ka/tokens.css","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d4ec3623-792b-4599-acb1-38c44e28fa4c","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"e5629597-dd0f-45c5-a88a-bef0cb6d7c4d","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":116,"estimated_tokens_delta":16,"uuid":"2fbe68ce-9ea6-4016-bbac-0d33eecb1879","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBL2VyMEeG36c1m2aGP","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":690,"cache_read_input_tokens":271052,"cache_creation":{"ephemeral_5m_input_tokens":690,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"f0afa832-7a69-407e-bbfc-149a0ab42100","request_id":"req_011CeQBKyrELnemanrDaSbRT"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBL2VyMEeG36c1m2aGP","type":"message","role":"assistant","content":[{"type":"text","text":"Audit propre : `.hl` était le seul cas blanc-sur-clair. Maintenant la page `/ka` :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":690,"cache_read_input_tokens":271052,"cache_creation":{"ephemeral_5m_input_tokens":690,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"4384877b-5b49-4132-bbad-947624c8347c","request_id":"req_011CeQBKyrELnemanrDaSbRT"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBL2VyMEeG36c1m2aGP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GLk65S18KJAePm2H86scLK","name":"Write","input":{"file_path":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Page /ka — présentation de l'agent. Le chat lui-même est le WIDGET COMMUN\n * de l'écosystème (public/ka-agent.js, synchronisé depuis ka-ui) : la bulle\n * en bas à droite, qui s'ouvre plein écran. Cette page ne fait que le\n * présenter et le déclencher — plus aucun fil de conversation embarqué.\n */\n\"use client\";\nimport { useLang } from \"@/components/LangContext\";\n\n/** Ouvre le widget ka-agent (plein écran d'office) en cliquant sa bulle. */\nfunction openKa() {\n  const btn = document.querySelector<HTMLButtonElement>(\".kaa-btn\");\n  btn?.click();\n}\n\nexport default function KaHero() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n\n  const powers: [string, string][] = fr\n    ? [\n        [\"12 outils\", \"registre, moteur d'estimation, marché\"],\n        [\"3,7 M\", \"unités d'évaluation interrogeables\"],\n        [\"745 119\", \"ventes réelles 2021-2026\"],\n        [\"En direct\", \"réponse en streaming, calcul montré\"],\n      ]\n    : [\n        [\"12 tools\", \"registry, estimation engine, market\"],\n        [\"3.7M\", \"queryable assessment units\"],\n        [\"745,119\", \"real sales 2021-2026\"],\n        [\"Live\", \"streaming answers, math shown\"],\n      ];\n\n  const examples = fr\n    ? [\n        \"Combien vaut le 1075, chemin Sainte-Foy à Québec ?\",\n        \"Le marché des condos à Montréal, ça va où ?\",\n        \"Trouve-moi les dernières ventes à Lévis.\",\n      ]\n    : [\n        \"What is 1075 chemin Sainte-Foy in Québec City worth?\",\n        \"Where is the Montréal condo market heading?\",\n        \"Find me the latest sales in Lévis.\",\n      ];\n\n  return (\n    <main className=\"relative z-[1] mx-auto w-full max-w-6xl px-4 pb-16 pt-12 sm:px-6\">\n      <span className=\"kicker\">\n        {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}\n      </span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(32px,5.5vw,58px)] font-bold uppercase leading-[0.98] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Jase avec <span className=\"hl\">Ka</span>.\n            <br />\n            Il connaît chaque adresse du Québec.\n          </>\n        ) : (\n          <>\n            Chat with <span className=\"hl\">Ka</span>.\n            <br />\n            It knows every Québec address.\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[15.5px] leading-relaxed text-ink-2\">\n        {fr\n          ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance. Même agent sur tous les sites du Groupe KA.\"\n          : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend. Same agent across every Groupe KA site.\"}\n      </p>\n\n      <div className=\"mt-8 flex flex-wrap items-center gap-4\">\n        <button type=\"button\" onClick={openKa} className=\"btn btn-accent !px-8 !text-[15px]\">\n          {fr ? \"Parler à Ka — plein écran\" : \"Talk to Ka — full screen\"} →\n        </button>\n        <p className=\"vp-mono max-w-[260px] text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n          {fr\n            ? \"Ou touchez la bulle Ka, en bas à droite — sur toutes les pages.\"\n            : \"Or tap the Ka bubble, bottom right — on every page.\"}\n        </p>\n      </div>\n\n      {/* preuves de capacité */}\n      <div className=\"mt-10 grid grid-cols-2 gap-x-6 gap-y-5 border-t-2 border-ink pt-6 sm:grid-cols-4\">\n        {powers.map(([b, s]) => (\n          <div key={b}>\n            <p className=\"vp-display text-[clamp(19px,2.4vw,26px)] font-bold leading-none tracking-[-0.02em]\">\n              {b}\n            </p>\n            <p className=\"vp-mono mt-1.5 text-[9.5px] uppercase tracking-[0.1em] text-ink-3\">{s}</p>\n          </div>\n        ))}\n      </div>\n\n      {/* exemples : chaque question ouvre le widget */}\n      <div className=\"mt-10\">\n        <p className=\"klabel\">{fr ? \"Essayez, par exemple\" : \"Try, for instance\"}</p>\n        <div className=\"mt-3\">\n          {examples.map((q) => (\n            <button\n              key={q}\n              type=\"button\"\n              onClick={openKa}\n              className=\"feed-row group w-full text-left\"\n            >\n              <span className=\"flex items-baseline justify-between gap-4\">\n                <span className=\"text-[15px] font-semibold\">{q}</span>\n                <span className=\"vp-mono shrink-0 text-[10.5px] font-bold uppercase tracking-[0.08em] text-accent\">\n                  {fr ? \"Demander à Ka\" : \"Ask Ka\"} →\n                </span>\n              </span>\n            </button>\n          ))}\n        </div>\n      </div>\n    </main>\n  );\n}\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":690,"cache_read_input_tokens":271052,"cache_creation":{"ephemeral_5m_input_tokens":690,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"492207d2-9acc-409c-9fbb-d7f64fad1c37","request_id":"req_011CeQBKyrELnemanrDaSbRT"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GLk65S18KJAePm2H86scLK","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e03dc58f-3ee5-4930-a768-235c0f94a1e3","timestamp":"2026-08-25T21:30:29.727Z","tool_use_result":{"type":"update","filePath":"/Users/simon-pierreboucher/apps/vrai-prix/src/app/ka/KaHero.tsx","content":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n/**\n * Page /ka — présentation de l'agent. Le chat lui-même est le WIDGET COMMUN\n * de l'écosystème (public/ka-agent.js, synchronisé depuis ka-ui) : la bulle\n * en bas à droite, qui s'ouvre plein écran. Cette page ne fait que le\n * présenter et le déclencher — plus aucun fil de conversation embarqué.\n */\n\"use client\";\nimport { useLang } from \"@/components/LangContext\";\n\n/** Ouvre le widget ka-agent (plein écran d'office) en cliquant sa bulle. */\nfunction openKa() {\n  const btn = document.querySelector<HTMLButtonElement>(\".kaa-btn\");\n  btn?.click();\n}\n\nexport default function KaHero() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n\n  const powers: [string, string][] = fr\n    ? [\n        [\"12 outils\", \"registre, moteur d'estimation, marché\"],\n        [\"3,7 M\", \"unités d'évaluation interrogeables\"],\n        [\"745 119\", \"ventes réelles 2021-2026\"],\n        [\"En direct\", \"réponse en streaming, calcul montré\"],\n      ]\n    : [\n        [\"12 tools\", \"registry, estimation engine, market\"],\n        [\"3.7M\", \"queryable assessment units\"],\n        [\"745,119\", \"real sales 2021-2026\"],\n        [\"Live\", \"streaming answers, math shown\"],\n      ];\n\n  const examples = fr\n    ? [\n        \"Combien vaut le 1075, chemin Sainte-Foy à Québec ?\",\n        \"Le marché des condos à Montréal, ça va où ?\",\n        \"Trouve-moi les dernières ventes à Lévis.\",\n      ]\n    : [\n        \"What is 1075 chemin Sainte-Foy in Québec City worth?\",\n        \"Where is the Montréal condo market heading?\",\n        \"Find me the latest sales in Lévis.\",\n      ];\n\n  return (\n    <main className=\"relative z-[1] mx-auto w-full max-w-6xl px-4 pb-16 pt-12 sm:px-6\">\n      <span className=\"kicker\">\n        {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}\n      </span>\n      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(32px,5.5vw,58px)] font-bold uppercase leading-[0.98] tracking-[-0.03em]\">\n        {fr ? (\n          <>\n            Jase avec <span className=\"hl\">Ka</span>.\n            <br />\n            Il connaît chaque adresse du Québec.\n          </>\n        ) : (\n          <>\n            Chat with <span className=\"hl\">Ka</span>.\n            <br />\n            It knows every Québec address.\n          </>\n        )}\n      </h1>\n      <p className=\"mt-4 max-w-2xl text-[15.5px] leading-relaxed text-ink-2\">\n        {fr\n          ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance. Même agent sur tous les sites du Groupe KA.\"\n          : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend. Same agent across every Groupe KA site.\"}\n      </p>\n\n      <div className=\"mt-8 flex flex-wrap items-center gap-4\">\n        <button type=\"button\" onClick={openKa} className=\"btn btn-accent !px-8 !text-[15px]\">\n          {fr ? \"Parler à Ka — plein écran\" : \"Talk to Ka — full screen\"} →\n        </button>\n        <p className=\"vp-mono max-w-[260px] text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">\n          {fr\n            ? \"Ou touchez la bulle Ka, en bas à droite — sur toutes les pages.\"\n            : \"Or tap the Ka bubble, bottom right — on every page.\"}\n        </p>\n      </div>\n\n      {/* preuves de capacité */}\n      <div className=\"mt-10 grid grid-cols-2 gap-x-6 gap-y-5 border-t-2 border-ink pt-6 sm:grid-cols-4\">\n        {powers.map(([b, s]) => (\n          <div key={b}>\n            <p className=\"vp-display text-[clamp(19px,2.4vw,26px)] font-bold leading-none tracking-[-0.02em]\">\n              {b}\n            </p>\n            <p className=\"vp-mono mt-1.5 text-[9.5px] uppercase tracking-[0.1em] text-ink-3\">{s}</p>\n          </div>\n        ))}\n      </div>\n\n      {/* exemples : chaque question ouvre le widget */}\n      <div className=\"mt-10\">\n        <p className=\"klabel\">{fr ? \"Essayez, par exemple\" : \"Try, for instance\"}</p>\n        <div className=\"mt-3\">\n          {examples.map((q) => (\n            <button\n              key={q}\n              type=\"button\"\n              onClick={openKa}\n              className=\"feed-row group w-full text-left\"\n            >\n              <span className=\"flex items-baseline justify-between gap-4\">\n                <span className=\"text-[15px] font-semibold\">{q}</span>\n                <span className=\"vp-mono shrink-0 text-[10.5px] font-bold uppercase tracking-[0.08em] text-accent\">\n                  {fr ? \"Demander à Ka\" : \"Ask Ka\"} →\n                </span>\n              </span>\n            </button>\n          ))}\n        </div>\n      </div>\n    </main>\n  );\n}\n","structuredPatch":[{"oldStart":1,"oldLines":56,"newStart":1,"newLines":119,"lines":[" // Auteur : Simon-Pierre Boucher — contact@spboucher.ai","+/**","+ * Page /ka — présentation de l'agent. Le chat lui-même est le WIDGET COMMUN","+ * de l'écosystème (public/ka-agent.js, synchronisé depuis ka-ui) : la bulle","+ * en bas à droite, qui s'ouvre plein écran. Cette page ne fait que le","+ * présenter et le déclencher — plus aucun fil de conversation embarqué.","+ */"," \"use client\";","-import KaChat from \"@/components/KaChat\";"," import { useLang } from \"@/components/LangContext\";"," ","+/** Ouvre le widget ka-agent (plein écran d'office) en cliquant sa bulle. */","+function openKa() {","+  const btn = document.querySelector<HTMLButtonElement>(\".kaa-btn\");","+  btn?.click();","+}","+"," export default function KaHero() {","   const { lang } = useLang();","   const fr = lang === \"fr\";"," ","-  const powers = fr","+  const powers: [string, string][] = fr","     ? [","-        [\"12 outils\", \"registre, moteur, marché\"],","-        [\"3,7 M\", \"unités interrogeables\"],","-        [\"En direct\", \"réponse en streaming\"],","+        [\"12 outils\", \"registre, moteur d'estimation, marché\"],","+        [\"3,7 M\", \"unités d'évaluation interrogeables\"],","+        [\"745 119\", \"ventes réelles 2021-2026\"],","+        [\"En direct\", \"réponse en streaming, calcul montré\"],","       ]","     : [","-        [\"12 tools\", \"registry, engine, market\"],","-        [\"3.7M\", \"queryable units\"],","-        [\"Live\", \"streaming answers\"],","+        [\"12 tools\", \"registry, estimation engine, market\"],","+        [\"3.7M\", \"queryable assessment units\"],","+        [\"745,119\", \"real sales 2021-2026\"],","+        [\"Live\", \"streaming answers, math shown\"],","       ];"," ","+  const examples = fr","+    ? [","+        \"Combien vaut le 1075, chemin Sainte-Foy à Québec ?\",","+        \"Le marché des condos à Montréal, ça va où ?\",","+        \"Trouve-moi les dernières ventes à Lévis.\",","+      ]","+    : [","+        \"What is 1075 chemin Sainte-Foy in Québec City worth?\",","+        \"Where is the Montréal condo market heading?\",","+        \"Find me the latest sales in Lévis.\",","+      ];","+","   return (","-    <main className=\"relative z-[1] mx-auto w-full max-w-[1080px] px-4 pb-16 pt-10 sm:px-6\">","-      <div className=\"mb-8 text-center\">","-        <span className=\"kicker justify-center\">","-          {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}","-        </span>","-        <h1 className=\"vp-display mx-auto mt-3 max-w-[620px] text-[34px] font-bold leading-[1.05] tracking-[-0.04em] sm:text-[46px]\">","-          {fr ? (","-            <>","-              Jase avec <span className=\"hl\">Ka</span>, il connaît chaque adresse du Québec.","-            </>","-          ) : (","-            <>","-              Chat with <span className=\"hl\">Ka</span> — it knows every Québec address.","-            </>","-          )}","-        </h1>","-        <p className=\"mx-auto mt-3 max-w-[560px] text-[14.5px] text-ink-2\">","+    <main className=\"relative z-[1] mx-auto w-full max-w-6xl px-4 pb-16 pt-12 sm:px-6\">","+      <span className=\"kicker\">","+        {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}","+      </span>","+      <h1 className=\"vp-display mt-3 max-w-3xl text-[clamp(32px,5.5vw,58px)] font-bold uppercase leading-[0.98] tracking-[-0.03em]\">","+        {fr ? (","+          <>","+            Jase avec <span className=\"hl\">Ka</span>.","+            <br />","+            Il connaît chaque adresse du Québec.","+          </>","+        ) : (","+          <>","+            Chat with <span className=\"hl\">Ka</span>.","+            <br />","+            It knows every Québec address.","+          </>","+        )}","+      </h1>","+      <p className=\"mt-4 max-w-2xl text-[15.5px] leading-relaxed text-ink-2\">","+        {fr","+          ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance. Même agent sur tous les sites du Groupe KA.\"","+          : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend. Same agent across every Groupe KA site.\"}","+      </p>","+","+      <div className=\"mt-8 flex flex-wrap items-center gap-4\">","+        <button type=\"button\" onClick={openKa} className=\"btn btn-accent !px-8 !text-[15px]\">","+          {fr ? \"Parler à Ka — plein écran\" : \"Talk to Ka — full screen\"} →","+        </button>","+        <p className=\"vp-mono max-w-[260px] text-[10.5px] uppercase tracking-[0.06em] text-ink-3\">","           {fr","-            ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance.\"","-            : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend.\"}","+            ? \"Ou touchez la bulle Ka, en bas à droite — sur toutes les pages.\"","+            : \"Or tap the Ka bubble, bottom right — on every page.\"}","         </p>","-        <div className=\"mt-5 flex flex-wrap justify-center gap-2.5\">","-          {powers.map(([b, s]) => (","-            <span key={b} className=\"stat-chip\">","-              <b>{b}</b> {s}","-            </span>","+      </div>","+","+      {/* preuves de capacité */}","+      <div className=\"mt-10 grid grid-cols-2 gap-x-6 gap-y-5 border-t-2 border-ink pt-6 sm:grid-cols-4\">","+        {powers.map(([b, s]) => (","+          <div key={b}>","+            <p className=\"vp-display text-[clamp(19px,2.4vw,26px)] font-bold leading-none tracking-[-0.02em]\">","+              {b}","+            </p>","+            <p className=\"vp-mono mt-1.5 text-[9.5px] uppercase tracking-[0.1em] text-ink-3\">{s}</p>","+          </div>","+        ))}","+      </div>","+","+      {/* exemples : chaque question ouvre le widget */}","+      <div className=\"mt-10\">","+        <p className=\"klabel\">{fr ? \"Essayez, par exemple\" : \"Try, for instance\"}</p>","+        <div className=\"mt-3\">","+          {examples.map((q) => (","+            <button","+              key={q}","+              type=\"button\"","+              onClick={openKa}","+              className=\"feed-row group w-full text-left\"","+            >","+              <span className=\"flex items-baseline justify-between gap-4\">","+                <span className=\"text-[15px] font-semibold\">{q}</span>","+                <span className=\"vp-mono shrink-0 text-[10.5px] font-bold uppercase tracking-[0.08em] text-accent\">","+                  {fr ? \"Demander à Ka\" : \"Ask Ka\"} →","+                </span>","+              </span>","+            </button>","           ))}","         </div>","       </div>","-","-      <KaChat />","     </main>","   );"," }"]}],"originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n\"use client\";\nimport KaChat from \"@/components/KaChat\";\nimport { useLang } from \"@/components/LangContext\";\n\nexport default function KaHero() {\n  const { lang } = useLang();\n  const fr = lang === \"fr\";\n\n  const powers = fr\n    ? [\n        [\"12 outils\", \"registre, moteur, marché\"],\n        [\"3,7 M\", \"unités interrogeables\"],\n        [\"En direct\", \"réponse en streaming\"],\n      ]\n    : [\n        [\"12 tools\", \"registry, engine, market\"],\n        [\"3.7M\", \"queryable units\"],\n        [\"Live\", \"streaming answers\"],\n      ];\n\n  return (\n    <main className=\"relative z-[1] mx-auto w-full max-w-[1080px] px-4 pb-16 pt-10 sm:px-6\">\n      <div className=\"mb-8 text-center\">\n        <span className=\"kicker justify-center\">\n          {fr ? \"Agent IA · propulsé par Claude\" : \"AI agent · powered by Claude\"}\n        </span>\n        <h1 className=\"vp-display mx-auto mt-3 max-w-[620px] text-[34px] font-bold leading-[1.05] tracking-[-0.04em] sm:text-[46px]\">\n          {fr ? (\n            <>\n              Jase avec <span className=\"hl\">Ka</span>, il connaît chaque adresse du Québec.\n            </>\n          ) : (\n            <>\n              Chat with <span className=\"hl\">Ka</span> — it knows every Québec address.\n            </>\n          )}\n        </h1>\n        <p className=\"mx-auto mt-3 max-w-[560px] text-[14.5px] text-ink-2\">\n          {fr\n            ? \"Donne-lui une adresse : il la retrouve dans le registre, l'évalue avec le même moteur transparent que Vrai-Prix, puis t'explique le prix — comparables, marché local, tendance.\"\n            : \"Give it an address: it finds it in the registry, values it with Vrai-Prix's transparent engine, then explains the price — comparables, local market, trend.\"}\n        </p>\n        <div className=\"mt-5 flex flex-wrap justify-center gap-2.5\">\n          {powers.map(([b, s]) => (\n            <span key={b} className=\"stat-chip\">\n              <b>{b}</b> {s}\n            </span>\n          ))}\n        </div>\n      </div>\n\n      <KaChat />\n    </main>\n  );\n}\n","userModified":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBL2VyMEeG36c1m2aGP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017CJE9BF9RTFQbfmiR3SBtG","name":"Bash","input":{"command":"rm src/components/KaChat.tsx && grep -rn \"KaChat\" src/ | head","description":"Delete unused KaChat component and confirm no references"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":690,"cache_read_input_tokens":271052,"cache_creation":{"ephemeral_5m_input_tokens":690,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6368de9d-6c6d-42d3-8dee-26ac4ed75ff7","request_id":"req_011CeQBKyrELnemanrDaSbRT"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017CJE9BF9RTFQbfmiR3SBtG","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"67b25ae3-ad2e-4996-89ab-ef297b289b01","timestamp":"2026-08-25T21:30:30.236Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"fe087390-70b7-44e8-b254-e9539a7d36c3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"cde78bea-3c35-4cba-b8db-dcefe3d6538e","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":120,"estimated_tokens_delta":70,"uuid":"b0a9ba2a-5468-47d5-8a7e-a7b9c5f86312","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBN2ZzcPtx711ugATPU","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":403,"cache_creation_input_tokens":2434,"cache_read_input_tokens":271742,"cache_creation":{"ephemeral_5m_input_tokens":2434,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"7b2618ef-8b94-49d6-8684-06d602775ada","request_id":"req_011CeQBMySUfiUUCAP3xxL6M"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBN2ZzcPtx711ugATPU","type":"message","role":"assistant","content":[{"type":"text","text":"Build + vérification visuelle des deux correctifs :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":403,"cache_creation_input_tokens":2434,"cache_read_input_tokens":271742,"cache_creation":{"ephemeral_5m_input_tokens":2434,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e433dc0a-7252-44f2-840f-7aa5be242efb","request_id":"req_011CeQBMySUfiUUCAP3xxL6M"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBN2ZzcPtx711ugATPU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EBhB5UwW3YMA4VtzWmZUjY","name":"Bash","input":{"command":"npm run build 2>&1 | grep -E \"error|Failed|✓ Compiled|✓ Generating\"; lsof -ti tcp:3999 | xargs kill -9 2>/dev/null; sleep 1; (PORT=3999 nohup npx next start -p 3999 >/tmp/vp-test.log 2>&1 &); sleep 4\ncat > vp-shot4.tmp.mjs <<'EOF'\nimport { chromium } from 'playwright';\nconst base = 'http://localhost:3999';\nconst b = await chromium.launch();\nconst ctx = await b.newContext({ viewport: { width: 390, height: 844 }, deviceScaleFactor: 2, hasTouch: true });\nconst page = await ctx.newPage();\nawait page.goto(base + '/methodologie', { waitUntil: 'networkidle', timeout: 45000 });\nawait page.waitForTimeout(600);\nawait page.screenshot({ path: '/tmp/vp-shots/z3-methodo-titre.png' });\nawait page.goto(base + '/ka', { waitUntil: 'networkidle', timeout: 45000 });\nawait page.waitForTimeout(1200);\nawait page.screenshot({ path: '/tmp/vp-shots/z3-ka-page.png' });\n// ouvrir le widget via le CTA\nawait page.locator('button:has-text(\"Parler à Ka\")').click();\nawait page.waitForTimeout(900);\nawait page.screenshot({ path: '/tmp/vp-shots/z3-ka-fullscreen.png' });\nawait ctx.close();\nawait b.close();\nconsole.log('ok');\nEOF\nnode vp-shot4.tmp.mjs && rm vp-shot4.tmp.mjs","description":"Build, restart test server, screenshot methodo title + /ka + widget fullscreen","timeout":420000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":403,"cache_creation_input_tokens":2434,"cache_read_input_tokens":271742,"cache_creation":{"ephemeral_5m_input_tokens":2434,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2747bb16-c4e2-4a9c-8884-0b916765a365","request_id":"req_011CeQBMySUfiUUCAP3xxL6M"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bq3hbmzs5","tool_use_id":"toolu_01EBhB5UwW3YMA4VtzWmZUjY","description":"Build, restart test server, screenshot methodo title + /ka + widget fullscreen","task_type":"local_bash","uuid":"13e421d0-4f0c-49ea-80df-19dc03a595b3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bq3hbmzs5","tool_use_id":"toolu_01EBhB5UwW3YMA4VtzWmZUjY","status":"completed","output_file":"","summary":"Build, restart test server, screenshot methodo title + /ka + widget fullscreen","uuid":"341b21da-195b-4e75-81d9-137ebc89faa1","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EBhB5UwW3YMA4VtzWmZUjY","type":"tool_result","content":"✓ Compiled successfully in 758ms\n✓ Generating static pages using 27 workers (117/117) in 1252ms\nok","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"e9c6561b-0e04-412f-94ae-8d192580431c","timestamp":"2026-08-25T21:30:57.452Z","tool_use_result":{"stdout":"✓ Compiled successfully in 758ms\n✓ Generating static pages using 27 workers (117/117) in 1252ms\nok","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9b3cd69f-f96f-49c3-9a7f-9d925bcbc8c4","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBQ42rbqBit6PTKVvUX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYGycs55nCDG37mXd9kbBj","name":"Read","input":{"file_path":"/tmp/vp-shots/z3-methodo-titre.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1254,"cache_read_input_tokens":274176,"cache_creation":{"ephemeral_5m_input_tokens":1254,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"b2ee1ce6-7b27-4539-8d3e-94462d53765a","request_id":"req_011CeQBPzTYtv3pY4bCq6x6n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYGycs55nCDG37mXd9kbBj","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"2ce19bf5-d21f-488f-b46d-bc472cb333cb","timestamp":"2026-08-25T21:31:01.943Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":339933,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBQ42rbqBit6PTKVvUX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VfcJrwAD7YnoLV7riLDzk3","name":"Read","input":{"file_path":"/tmp/vp-shots/z3-ka-page.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1254,"cache_read_input_tokens":274176,"cache_creation":{"ephemeral_5m_input_tokens":1254,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"ce4f9929-f031-4e56-8bad-6f2a3a75afac","request_id":"req_011CeQBPzTYtv3pY4bCq6x6n"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBQ42rbqBit6PTKVvUX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017jjrGRsuEkN1NxuVLcKc9H","name":"Read","input":{"file_path":"/tmp/vp-shots/z3-ka-fullscreen.png"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1254,"cache_read_input_tokens":274176,"cache_creation":{"ephemeral_5m_input_tokens":1254,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"fcba9995-bd1f-45fc-9907-1f3e5c82505c","request_id":"req_011CeQBPzTYtv3pY4bCq6x6n"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VfcJrwAD7YnoLV7riLDzk3","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"38686902-a7bb-4638-b32f-dc998425e156","timestamp":"2026-08-25T21:31:02.394Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":338759,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017jjrGRsuEkN1NxuVLcKc9H","type":"tool_result","content":[{"type":"image","source":{"type":"base64","data":"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","media_type":"image/png"}}]}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"d27613df-4bae-4c20-9285-131c7401f062","timestamp":"2026-08-25T21:31:02.402Z","tool_use_result":{"type":"image","file":{"base64":"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","type":"image/png","originalSize":84080,"dimensions":{"originalWidth":780,"originalHeight":1688,"displayWidth":780,"displayHeight":1688}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b04515c1-3619-4d3d-964a-63efe826ff41","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"b72fcf53-dae4-4007-a3cd-4c451a788df7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"efe311ba-515d-4805-985b-2d59140a80d3","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"49f87c6b-ed9d-408f-b528-171601c9fd40","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":100,"uuid":"d645b13d-d0c8-438c-8f53-e2aa70fed5e9","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBQQXQPDqfSNtQmysyD","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5421,"cache_read_input_tokens":275430,"cache_creation":{"ephemeral_5m_input_tokens":5421,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"3907ff93-e9e9-4f15-b3ea-2f424c178094","request_id":"req_011CeQBQMT73DSGMTE1ZgWjV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBQQXQPDqfSNtQmysyD","type":"message","role":"assistant","content":[{"type":"text","text":"Les trois vérifications passent : titre noir sur surlignage rouge pâle, page `/ka` recomposée, CTA qui ouvre le widget standard plein écran. Déploiement :"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5421,"cache_read_input_tokens":275430,"cache_creation":{"ephemeral_5m_input_tokens":5421,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"6914c860-a91e-4b69-8726-946ef8e25fbc","request_id":"req_011CeQBQMT73DSGMTE1ZgWjV"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBQQXQPDqfSNtQmysyD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UWpSFsK83iHmzWwoWQ2tKA","name":"Bash","input":{"command":"lsof -ti tcp:3999 | xargs kill -9 2>/dev/null; pm2 restart vrai-prix --update-env >/dev/null 2>&1 && sleep 4 && curl -s -o /dev/null -w \"prod: %{http_code}\\n\" https://www.vrai-prix.com/methodologie && curl -s https://www.vrai-prix.com/ka | grep -o \"Parler à Ka\" | head -1 && git add -A && git commit -m \"fix lettrage .hl (couleur héritée — le .hl ka-ui imposait du blanc sur papier) + /ka bascule sur le widget ka-agent commun (bulle → plein écran), suppression du chat embarqué KaChat\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\" && git push origin main 2>&1 | tail -2","description":"Restart pm2, healthcheck prod, commit and push","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5421,"cache_read_input_tokens":275430,"cache_creation":{"ephemeral_5m_input_tokens":5421,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"122f487b-84ad-4843-9cfc-d1ebd27db851","request_id":"req_011CeQBQMT73DSGMTE1ZgWjV"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bh2851tv0","tool_use_id":"toolu_01UWpSFsK83iHmzWwoWQ2tKA","description":"Restart pm2, healthcheck prod, commit and push","task_type":"local_bash","uuid":"d8234b20-7bdc-41f3-8eef-e6c75d2477a7","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bh2851tv0","tool_use_id":"toolu_01UWpSFsK83iHmzWwoWQ2tKA","status":"completed","output_file":"","summary":"Restart pm2, healthcheck prod, commit and push","uuid":"ab72ac4d-d4a1-48c9-b25d-3e19bac021aa","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UWpSFsK83iHmzWwoWQ2tKA","type":"tool_result","content":"prod: 200\nParler à Ka\n[main 33f17c0] fix lettrage .hl (couleur héritée — le .hl ka-ui imposait du blanc sur papier) + /ka bascule sur le widget ka-agent commun (bulle → plein écran), suppression du chat embarqué KaChat\n 3 files changed, 103 insertions(+), 463 deletions(-)\n delete mode 100644 src/components/KaChat.tsx\nTo /Users/simon-pierreboucher/srv/git/vrai-prix.git\n   983557a..33f17c0  main -> main","is_error":false}]},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"c5fc82ec-cb98-4915-bc37-8c4733f2b5b1","timestamp":"2026-08-25T21:31:21.705Z","tool_use_result":{"stdout":"prod: 200\nParler à Ka\n[main 33f17c0] fix lettrage .hl (couleur héritée — le .hl ka-ui imposait du blanc sur papier) + /ka bascule sur le widget ka-agent commun (bulle → plein écran), suppression du chat embarqué KaChat\n 3 files changed, 103 insertions(+), 463 deletions(-)\n delete mode 100644 src/components/KaChat.tsx\nTo /Users/simon-pierreboucher/srv/git/vrai-prix.git\n   983557a..33f17c0  main -> main","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"gitOperation":{"commit":{"sha":"33f17c0","kind":"committed"},"push":{"branch":"main"}}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"eec14f05-cc34-4cd3-9b10-c4a0ad7b2b50","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBRqCjs3UkYNVjD5CBY","type":"message","role":"assistant","content":[{"type":"text","text":"Les deux problèmes sont corrigés, déployés et poussés (commit `33f17c0`) — la prod sert déjà les correctifs.\n\n**Lettrage blanc — corrigé à la source.** La cause : le `.hl` du design system commun ka-ui (`tokens.css`) impose `color: var(--on-accent)` = blanc ; ma surcharge locale de la refonte redéfinissait le fond (surlignage rouge pâle) mais pas la couleur → texte blanc sur fond off-white. Le fix dans `globals.css` ajoute `color: inherit` au `.hl` avec un commentaire d'avertissement : le texte accentué garde désormais la couleur du titre — **noir profond sur surlignage rouge pâle** sur papier, off-white sur les aplats encre. Comme c'est corrigé dans la classe elle-même, toutes les occurrences du site sont couvertes (méthodologie, /ka, stats, municipalités, carte…). J'ai aussi audité les autres règles ka-ui qui posent du blanc (`.btn-accent`, `.chip-accent`, `::selection`, footer) : toutes sont soit surchargées localement, soit sur fond rouge/encre suffisamment foncé — `.hl` était le seul cas fautif. Vérifié en capture à 390 px : « COMMENT LE PRIX EST CALCULÉ » est parfaitement lisible, l'effet éditorial est conservé.\n\n**Ka agent — même système que les autres sites.** Le widget commun (bulle en bas à droite → ouverture plein écran) était en fait déjà présent et à jour sur vrai-prix (v4.2, identique au canonique ka-ui, seule la ligne analytics diffère). Ce qui divergeait : la page `/ka` embarquait un fil de chat maison dans une carte (`KaChat.tsx`, 460 lignes). Je l'ai supprimé ; `/ka` est maintenant une page de présentation éditoriale avec un CTA rouge « Parler à Ka — plein écran » et des questions d'exemple, qui déclenchent tous **le widget standard** (clic programmatique sur la bulle `.kaa-btn`). Vérifié en capture : le CTA ouvre bien le plein écran « KA Agent » — exactement la même expérience que sur les autres sites du groupe.\n\nBuild OK, `pm2 restart vrai-prix`, healthcheck 200 sur la méthodologie et « Parler à Ka » présent sur la prod, push vers spbgit fait."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":959,"cache_read_input_tokens":280851,"cache_creation":{"ephemeral_5m_input_tokens":959,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","uuid":"757e9afa-6dc6-4757-ac39-d588dcb1daf2","request_id":"req_011CeQBRmS2GwNPN5WTDC88G"}}
{"type":"claude","event":{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":261940,"duration_api_ms":240436,"ttft_ms":20836,"ttft_stream_ms":6506,"time_to_request_ms":74,"num_turns":21,"result":"Les deux problèmes sont corrigés, déployés et poussés (commit `33f17c0`) — la prod sert déjà les correctifs.\n\n**Lettrage blanc — corrigé à la source.** La cause : le `.hl` du design system commun ka-ui (`tokens.css`) impose `color: var(--on-accent)` = blanc ; ma surcharge locale de la refonte redéfinissait le fond (surlignage rouge pâle) mais pas la couleur → texte blanc sur fond off-white. Le fix dans `globals.css` ajoute `color: inherit` au `.hl` avec un commentaire d'avertissement : le texte accentué garde désormais la couleur du titre — **noir profond sur surlignage rouge pâle** sur papier, off-white sur les aplats encre. Comme c'est corrigé dans la classe elle-même, toutes les occurrences du site sont couvertes (méthodologie, /ka, stats, municipalités, carte…). J'ai aussi audité les autres règles ka-ui qui posent du blanc (`.btn-accent`, `.chip-accent`, `::selection`, footer) : toutes sont soit surchargées localement, soit sur fond rouge/encre suffisamment foncé — `.hl` était le seul cas fautif. Vérifié en capture à 390 px : « COMMENT LE PRIX EST CALCULÉ » est parfaitement lisible, l'effet éditorial est conservé.\n\n**Ka agent — même système que les autres sites.** Le widget commun (bulle en bas à droite → ouverture plein écran) était en fait déjà présent et à jour sur vrai-prix (v4.2, identique au canonique ka-ui, seule la ligne analytics diffère). Ce qui divergeait : la page `/ka` embarquait un fil de chat maison dans une carte (`KaChat.tsx`, 460 lignes). Je l'ai supprimé ; `/ka` est maintenant une page de présentation éditoriale avec un CTA rouge « Parler à Ka — plein écran » et des questions d'exemple, qui déclenchent tous **le widget standard** (clic programmatique sur la bulle `.kaa-btn`). Vérifié en capture : le CTA ouvre bien le plein écran « KA Agent » — exactement la même expérience que sur les autres sites du groupe.\n\nBuild OK, `pm2 restart vrai-prix`, healthcheck 200 sur la méthodologie et « Parler à Ka » présent sur la prod, push vers spbgit fait.","stop_reason":"end_turn","session_id":"f87c431b-f807-4817-aa3b-fed5030ef380","total_cost_usd":7.275970000000001,"usage":{"input_tokens":970,"cache_creation_input_tokens":266518,"cache_read_input_tokens":3225895,"output_tokens":14178,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":266518},"inference_geo":"global","iterations":[{"input_tokens":2,"output_tokens":868,"cache_read_input_tokens":280851,"cache_creation_input_tokens":959,"cache_creation":{"ephemeral_5m_input_tokens":959,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-fable-5":{"inputTokens":970,"outputTokens":14178,"cacheReadInputTokens":3225895,"cacheCreationInputTokens":266518,"webSearchRequests":0,"costUSD":7.275970000000001,"contextWindow":1000000,"maxOutputTokens":64000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"3719bcc9-a5e1-42bb-8c0c-2a2c003c5f85"}}
{"type":"status","state":"idle"}