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{"parentUuid":"6d9d5339-c47b-4534-97d4-fa48885e60bc","isSidechain":false,"attachment":{"type":"skill_listing","content":"- design: Create a design canvas - a multi-artboard visual design published as an Artifact that runs Claude Design's canvas editor (an early preview of Claude Design inside Claude Code). You DRAFT the design as .dc.html artboards laid out on one pan/zoom canvas; where saving is enabled for the user's account they refine every element visually (click-to-select, a properties panel, inline text editing, undo/redo) and Save publishes a new version for everyone, otherwise they get a view-and-export (PNG/PDF) preview of your draft. Good for UI mockups and screen flows, landing pages, marketing and social graphics, and print pieces - posters, flyers, brochures as single-page artboards; memos and reports as one flowing artboard. Use when someone wants a design, mockup, wireframe, UI or screen design, landing page, poster, flyer, brochure, banner, card, one-pager, or any visual layout they would rather tweak by hand than in code. Only for CREATING or re-seeding a canvas; an existing one is edited in its published Artifact.\n- dataviz: Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: \"chart\", \"graph\", \"plot\", \"data viz\", \"visualization\", \"dashboard\", \"analytics\", \"visualize data\", \"categorical colors\", \"sequential / diverging palette\", \"stat tile\", \"sparkline\", \"heatmap\", \"legend\", \"axis\", \"tooltip\", \"chart colors\", \"color by series\".\n- artifact-design: Design guidance and fundamentals for Artifacts. - Load before writing any artifact, including a skill-instructed Markdown one - Markdown is never a shortcut past the design pass.\n- artifact-diagramming: Diagramming know-how for Artifacts - when a picture earns its place, how to draw one that shows the real mechanism, and the inline-SVG mechanics that keep it legible in both themes.\n- artifact-capabilities: Runtime capabilities a published Artifact page can be granted — behavior static HTML cannot provide on its own, such as the page reading live or connected data, remembering what people do on it (a poll, a sign-up sheet, a checklist, a document edited in place — it saves new versions of itself), keeping state shared across viewers, knowing who is viewing, asking Claude a question of its own, storing files people add, or handing the viewer a file to save. Serves this user's live capability roster and the typed call definitions. Load it whenever the user asks for an artifact needing any such runtime behavior.\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- code-review: Review the current diff, or a PR number/branch/path target, for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud); with no level given, it reuses the level you typed last. Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review. For ultra on a GitHub.com PR target, --post asks to post the finished review’s findings to the PR as a single comment from the user’s GitHub account (not a review; the launch dialog still confirms in interactive sessions, while non-interactive mode posts on the flag alone) and --no-post hides that option.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring cloud agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- claude-in-chrome: Automates your Chrome browser to interact with web pages - clicking elements, filling forms, capturing screenshots, reading console logs, and navigating sites. Opens pages in new tabs within your existing Chrome session. Requires site-level permissions before executing (configured in the extension). - When the user wants to interact with web pages, automate browser tasks, capture screenshots, read console logs, or perform any browser-based actions. Always invoke BEFORE attempting to use any mcp__claude-in-chrome__* tools.\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init: Initialize a new CLAUDE.md file with codebase documentation\n- security-review: Complete a security review of the pending changes on the current branch","skillCount":17,"isInitial":true,"names":["design","dataviz","artifact-design","artifact-diagramming","artifact-capabilities","update-config","keybindings-help","code-review","simplify","fewer-permission-prompts","loop","schedule","claude-api","claude-in-chrome","run","init","security-review"]},"type":"attachment","uuid":"aecefbb5-0dbd-4b2d-8a59-1196f9b83353","timestamp":"2026-08-26T14:15:44.522Z","userType":"external","entrypoint":"cli","cwd":"/home/tonda","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","version":"2.1.246","gitBranch":"HEAD"}
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{"parentUuid":"02a18886-8a3c-4cdd-8b0a-38af563f16bf","isSidechain":false,"promptId":"e9c9cfc8-1ba5-40d1-af2f-904505a218b3","type":"user","message":{"role":"user","content":[{"type":"text","text":"Approach this as the design lead at a small studio known for their versatility, giving every client a visual identity pitched at the treatment the task actually calls for. Make deliberate choices about palette, typography, and layout that are specific to this subject, and avoid templated designs.\n\n## Read the request first\n\nCalibrate treatment, not whether to design. A doc deserves the same craft as a landing page - what changes is the treatment that craft is delivered in. Format is not part of this read: author HTML, and publish Markdown only when a loaded skill explicitly instructs it - a Markdown publish keeps its filename as its title and takes almost none of the craft below, and is never a way to save time.\n\nMany requests call for a more utilitarian treatment: a plan, a memo, a demo. Make it polished: include real typographic hierarchy, considered spacing, and a proper palette, but avoid over-designing. Most pages do not need a flashy, gigantic hero. Keep flourishes tasteful and limited.\n\nSome requests call for an editorial treatment: a landing page, a game, an app or tool they'll keep or share.\n\nWhen unsure: a well-composed page is never the wrong answer; an over-designed visual identity sometimes is.\n\nFundamentals below apply to everything. The editorial process after that runs only when the read above says so.\n\n## Fundamentals for every artifact\n\n**Honor what's already there** Look for an existing design system first - CLAUDE.md, a tokens or theme file, existing component styles. When one exists, apply it; everything below fills gaps and never overrides. Precedence is always: the user's own words, then the project's existing system, then your choices.\n\n**Ground it in the subject.** If the subject isn't already clear, pin it: one concrete subject, its audience, and the page's single job. The subject's own world - its materials, instruments, vernacular - is where distinctive choices come from. Build with real content throughout, never lorem.\n\n**Pair typefaces** Typography carries the page even when the page isn't about typography. Google Fonts is the one font host the Artifact CSP admits - link it directly (`<link rel=\"stylesheet\" href=\"https://fonts.googleapis.com/css2?family=...&display=swap\">`); a face from anywhere else must be inlined as a @font-face data URI or it falls back silently. Either way, declare a real fallback stack. Keep running text near 65 characters wide; set a type scale and stay on it; give headings `text-wrap: balance`, body text room to breathe, and uppercase labels a touch of letter-spacing.\n\n**Choose neutrals, don't default to them.** A pure mid-grey reads as unconsidered; a grey with a slight hue bias toward the page's accent reads as chosen. Pure white and near-black are fine grounds when they suit the subject - the point is that the neutral was picked, not inherited.\n\n**Design both themes.** The page renders in the viewer's theme, and the viewer has three states, not two: an explicit choice stamps `data-theme=\"dark\"` / `data-theme=\"light\"` on the root element, and the default \"system\" setting stamps *nothing* - most viewers see the un-stamped document, where only `prefers-color-scheme` separates light from dark. Structure the CSS token-level for all three: the bare `:root` block defines the complete light palette (for a deliberately dark-first design, swap light and dark consistently through this whole pattern); `@media (prefers-color-scheme: dark)` redefines only the tokens, guarded as `:root:not([data-theme=\"light\"])` so an explicit light choice beats a dark OS; `:root[data-theme=\"dark\"]` redefines them again so the toggle also wins in the other direction. Style components through the tokens, never directly inside a media or `[data-theme]` block - a color whose only definition sits behind `[data-theme]` never applies in the un-stamped state, and the page renders one theme's text on the other theme's ground. Two more rules keep each theme resolving as a set: the artifact composites over a ground the viewer paints in *its* theme, so `body` must set an explicit `background` from a token - a transparent body silently borrows the host's ground; and every element that sets a color takes it from the same token set as the surface behind it, never a literal that only works in one theme. Before publishing, scan the stylesheet for any color declared only inside a media or `[data-theme]` block - that is the classic unreadable-artifact bug. Give the second theme the same care as the first - don't naively invert; keep contrast legible and the accent working on both grounds. A design that deliberately commits to one visual world (a neon arcade screen, a letterpress invitation) may stay single-theme - then skip the media query and stamps entirely but still paint the background and every color explicitly, so the page holds on either host ground; make it a choice, not an omission.\n\n**Let layout do the spacing.** Lay out sibling groups with flex or grid and `gap`, not per-element margins that silently collapse or double. Wide content - tables, code, diagrams - gets `overflow-x: auto` on its own container so the page body never scrolls sideways. Reach for `font-variant-numeric: tabular-nums` wherever digits line up in columns.\n\n**Avoid AI-generated design** AI-generated design currently clusters around a few looks: warm cream (#F4F1EA) with a serif display and terracotta accent; near-black with a lone acid-green or vermilion pop; broadsheet hairline rules with dense columns; a purple-to-blue gradient hero on white; Inter or Space Grotesk as the \"safe\" face; emoji as section markers; everything centered; `rounded-lg` everywhere; accent bar/rail on rounded cards. Where the user pins down a visual direction, follow it exactly - their words always win, including when they ask for one of these looks. Where nothing is specified, don't spend that freedom on one of these defaults.\n\n**Build cleanly** Be cognizant of overlapping elements, cascade collisions, silent font fallbacks; visual bugs hide in the gap between source and output. Close every non-void element, double-quote attributes, give keyboard focus a visible state, respect `prefers-reduced-motion`. For generative or decorative graphics, reach for Canvas or WebGL rather than hand-authoring long SVG path data.\n\n**CSS rules** When writing the CSS, watch your selector specificities. It is easy to generate classes that cancel each other out - a type-based selector like `.section` fighting an element-based one like `.cta` over padding and margins between sections. Structure the cascade so it doesn't silently undo your spacing.\n\n**Writing the copy** Words are design material, not decoration. Write from the user's side of the screen - name things by what people recognize, not how the system is built (a person manages *notifications*, not *webhook config*). Active voice; a control says exactly what happens (\"Publish\", then a toast that says \"Published\"). Errors explain what went wrong and how to fix it - no apologies, no vagueness. Specific beats clever.\n\n**Name the page like a product, not a caption.** The `<title>` is the artifact's name in the gallery and the browser tab, and it sets the reader's first impression of care. Give the page a real name: a short noun phrase, typically two to four words, specific to the subject - or, for a page that exists to answer one question, that question itself, which is then the page's name. Stop at the name - a title that carries its own explainer after a dash or colon reads as generated filler. The name must also identify the page among many: in the gallery it sits beside dozens of other artifacts, and a generic category label that could sit on any of them fails as a name just as surely as an appended explainer. When a candidate title pairs the name with a generic word - a greeting, a category, a page-type label - the name is the half to keep; a trim that drops the identity and keeps the generic word produces exactly the title that could sit on any page. And the rule removes explainers, it does not impose brevity: a multi-word title that already reads as one specific name is finished, and shortening it further only makes it generic. The one-sentence publish `description` is where the explanation belongs; the gallery shows it right under the title.\n\n**Structure is information** Structural devices, numbering, eyebrows, dividers, labels, should encode something true about the content, not decorate it. Many generic designs use numbered markers (01 / 02 / 03), but that's only appropriate if the content actually is a sequence - like a real process or a typed timeline where order carries information the reader needs. Question if choices like numbered markers actually make sense before incorporating them.\n\n**When it's a UI, not a document** A dashboard or tool is scanned and operated, not read top-to-bottom, so the craft shifts from typography to information design. Surface the summary before the detail; encode state in form as well as number - a pill, a chip, a severity stripe - so what needs attention reads at a glance. Semantic color (good / warning / critical) is separate from the accent hue and doesn't count as your accent. Give sparklines and charts the same care as type: an area fill, a faint grid, an emphasized endpoint. What's interactive should look interactive.\n\n\n\n## Process\n\nBefore writing code, sketch a short design plan - a compact token system with color, type, and layout:\n- **Color**: describe the palette as 4-6 named hex values.\n- **Type**: typefaces for 2+ roles - a characterful display face used with restraint, a complementary body face, and a utility face for captions or data if needed.\n- **Layout**: a layout concept in one or two sentences.\n\nThen build, following the plan and deriving every color and type decision from it.\n\n## When the request is editorial\n\nThe stance shifts: the client has already rejected proposals that felt templated, and is paying for a distinctive point of view. Make opinionated calls, and take one real aesthetic risk where it serves the work.\n\nReview the design plan against the subject before building: if any part of it reads like the generic default you would produce for any similar page, revise that part, and note what you changed and why. Only after you've confirmed the plan's uniqueness do you write the code, following the revised plan exactly.\n\n**Principles** \n\n- The hero is a thesis: open with the most characteristic thing in the subject's world - headline, image, live demo, interactive moment. \n- Typography carries the personality of the page. Pair the display and body faces deliberately, not the same families you would reach for on any other project, and set a clear type scale with intentional weights, widths, and spacing. Make the type treatment itself a memorable part of the design, not a neutral delivery vehicle for the content. \n- Leverage motion deliberately. Think about where and if animation can serve the subject: a page-load sequence, a scroll-triggered reveal, hover micro-interactions, ambient atmosphere. An orchestrated moment usually lands harder than scattered effects; choose what the direction calls for. 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e/ek9jxPjenLkG5SdUOYj/cHrgEg9q83PYDnv+mv025bila2Pff8c8VChqhdbVCTHqDN97f3lD/hYNcDJqWvG8FclNjHgyA+or5FJNEPaG0hVM8Xm1sjcym1IZ/ggwoWfoEfKvsS/m2YAEe7VQ4fZ64LqPT/V4LR0uCjJhIGd9vTlRstBX154y3WU9oXq5KtBi+XL+Grtzpka0ugPjq77dHln4c5L7vCBajVFbKwRfA8zhHjWIRzq1ovERjvywaLkVPXTu1Ya4I03aNOIlfdtdKKedw6tc511eVQpOQ1s1PSI1w8mETsnsbGS+QOzEMFaYH/tRXMGdzltbx34h6TIvwszYZqosTPXPv54vpymrP140j5zdKlskcmt7UyMLLxAlmpNUnOJwuVhgdwHEhiyXwRs5QrJRthYYPsnw/+y8tlXL0htQ2V7UCNUjwZK+4r2ogIG+RXBo4xB17WQZEg3CC81cn5lVl4XLFBVWYKoc2yUK/rM+IdddaiK+dHwkc1t+v8jtfArvBd4CPA6JjplMwm+kPS0LcVjI6H/u3NylV6LhyDdzj51DK6uMnOq47Sd4ICpGO3bpk8u4tSMS10X11jeroyUoHZeL79T6PJHBeyw/84At1pZKH+PwJAU3RrHWiSFhj5c/UsSdWXTkEKelOldP82TiPrBlXj9PVtaungbFzWfZvFhzYaRn9Dr/MMm4JCKkXTrJaOFXaEIVisMd0yQ7HnYRJVKFNCcorT06bAoQLoFR89KngKBdwaHXHcrpC7oqkeAFgbisRvsrsep7vHOFs/2IAgAuBwe03sFDmooeqUYbuuUSnxuJDoea1yLoR0IBWVHl1U7+WQGwXbpgU976yUANOzdfXWs6HF0AvvLEHlnUnIrOirHcgRW808w/Vn73Ku0v3fBQcD5866V6o6mcz7lfuWTy1yZUBwUyLTEu6I2F8zPpEC3B6dFcXzCX+03hkXCeVtnsLVNjYecX0/LmzuWpg0BRUvnmMH7+VtHa8NrIH7WoxH67C+oq/ip/Z3zzGiJKBSdRIPodNBJvNc7F6oVX4FiWu76M8iwir/UZYzsupbkgdkzXv/G5d/m5QLCemdmQrGCRkPBBiYjaq85z1cgmDWP1D8r/lwqP22gYzM9HRolRD6DuPlFVg0lh3ej3wYvv/lnJgj6w5QFUmhAwBe94s/U+4dMcdhk65Ywzh+bYCA3z1keWBuntsmFGgg632YPDszqn/BliudtPuZoZVTIbPlh1RTrzzFR0afFPTI9dohLP6oVBsiSASDo6U/W5AEXnICtaufKHGKo6iFMlw7YR9hmhw3h9oIHlzzrV7wJAQHTHdl8554rfSuS89fNfKJ3dWLjDkdrun3gGvxqkFRl6v7ZJhokKqSTWZyS0JHYbZfWHWF8NCEvO2buJ0q5QM1yWY7POzlZeri8ewOcdP1sV9HvczQQMbtiAh6dkOmQV17GaprtVi401ZlzhwqNBX1w+WCBe1deqMolNJ72atnl9UPDjtcEbYNvsTeMZ0bYSy2hfJ5GCaqvQgcxhDmqYjvyzXQ4ODMVTZNf1prMEFtYjkj0oqAVsD9iEGMVBfGKvS32Xn9QVUw+0e1cc5q6hiwfsci7YFF6gisSdBXCh0s4V9/jkQcMyXtvVz4e+pGT2i9jZ4LZzy38GDESvmOd/7cA3w4xznE0zWVPlRSUMtH3OdlSL2RiPCzZdhcIkpUXYhZoGo/hN+lNl5j7H+gyyamfw798xCS8hHDnuj1NrekbhGBB4pnLxwj7Ve/7itI7JrZRalN8Ha111zGxqvD52xEPUsn2Xs4hBjGJh2GKeGYQLKO6jdjt0hBhL5A/WWM4LzRNlBKZsbbrrJomLyrYBwwUwbG9cT20m2tKxGLbqhLSC1b1C3I5738wiiH7/dz7kqJZPRVAojxsR3fpD6zaeC0va2dU2Imjys9Xoc64vDQZeedv7nRpVPebpwfezzFcq8TrGLMPonj0NDv0o70DUly3WcuAnPCBsSY38xgUxmjMlPh//XKxdo6SnILYOHhWDc1j3rstqNaOP1uHglIlQh9fH4ZABvASJL2gK/B7JfwF9bs/XH8DG+REseyLyJBfomIfdHprz6bmz75vKAB8RUp2lAtQPWTWFav3giH9DICVys6pWrb0KgK3PMsN9LGI3rVNtF0u/eK3QDPfzz3wug1U6TyaKvjuAheeu/oiHpcBmECXwuZ6VTjB+mEt02EGrGgWdi955hes7A3onowzx6sIAQC32MlLjqN4DZedQt1T7f2ZDpBI91WhA8aYK/YLcdJW/qiEmMUzdzl6fgH3zzQ9rei1VDjMO63SfzufUlT83GwIahqMmlPqInQbVKQYhvD2kfnjQM1EqQs2wWrGeTevSAGpB4oI4GZeG+O59N//yQp4JQpi2F3LLSAiSC62njfnP8akdEqVm00u3fn1sidwDiPdKu0fMqO1us0NvHEjVPJmHbnM8SGyojJ9QtWE84kxK0jC+otzUog6IROponbk+7EuQCd1ST175qOX75xmUIYQtW9dFBLBXUJZfmKpcOH9n8qtdyzBls9w4l4P9eHEisMRPj4CMzIF9DDbXd4WfTL7we4BMshhPe6NWG7z/VqUFKpCEwkmxjEfpKnQWJfyt0rVQX3o8A/BBMgoXe1m6Fa22otGwsHWVQrm6Q/HWLDR5yLBpOFulFMbH1RyuB0klLcoGx0jNjcm20ehOCjexfjXxt4Rmop98Es/TuTLOc6l4rGkt2r7YBkdInjxbbswnX+o1a7i3DXVgRurRVjl+RgIC1eG7grZNihAI8VZ5jQHSBeewX5MxVBr+Mwge/6QPkq1LOqqURMRPcXy8rlzNUhHfRQdZZ1yRuD16uNnfdEcJ3mmA/4X2kCzDS61RBOcI0aM5RKpGElJCcp35seZuNbHx+SCTAuA/5j2RrK2c6VwaH2gbWP7NZ2CFFW+cPjUvUNhixcX+JTZbofYGoNsqITRahU0zjqRzjOIUNPxrD5hrNjZYssrnPZ6VGXmliFDTwffpabAx1yBBtaP8uC6gMbe5d6YTH8T8wSQ/aP5ia4bNcPMfi6UuwjyuoTvw3OzunRU2RftFx6gtqt7MeTksTYcqwqPH3ABtL37+YAdZDbKabm6hGaimwpeM6z13Pk1UHzD6mXpAbILf9OUVSVCMQMuOC4+3UZrKLfgBTfs6bFjc8QWNKrxnf7dm4fB36WAncQQ070XwLBkh9ZbO2itYahtL+k4wbFrdTPsDVv2e5EcgAto5CsHz6SOFH+UZYQUI+DYwrZoVsJA0RJeNJKA7kkyjbETP1agave187mIkqzx4m1wOm6DaBAdmYCikvKC0CEJMsmMstVAnfZq/lNhPbM8/yij1EHySFxHS+Mw9Pz/Zvd3NGcRCsVPTlMSq+fUPsHmtFVtvU1KY7BDNfHWkZUBnnocTP1wnhymatp3i9dvpC9/CIak5M5VhVIcucUSBVVt6vRXJOPDWr8Wbl89pqby6wZ4BktWK6QwtH0Hi8wXHtPO8Ib5lcFOcj1YVvHjm6uNqWAR/vYK0CmBNGOowigZmMHy3WQmRWRa0yS8/IgWBo8MvVwsg0CHQw0yAoiZn6uLMJmkV8yVrgXGxz49oCjquQ8VyNS8H9rCFg6V1f/A+DZXZN92lmuuCeoA5VRQMOl3GQLyQCcavLcsZRn3Jf+H0iclPxnVjn0f0OAMtdWmS1S9W3JyBgBVAUcIjxnP2+9Ex74sMIruV6te/YHKXaNjRHm+negD8IPFhKmGPGDmn88RDdWojiYjxSjeFKDDl7cpUlmVv1ZWXjEK0fk3eeOdRdUguK2vIzJoG1U6zg2jsfpXdaB3o4NOuRpAqyH5Z72oxgEuup5PcQjLr35ZZcv1INMq8jSa95P/q/wPgiGwfaT0lKdWXmrk5DOmxc1a2MqPmhHBHzK/8iwotfZoQ0HqsYjxJK9f3JRDJbSDkC/TdX2oSZPTZdQNSBiSiKgClVe0phPSmcxcbzJo/mP1tMI5wjKgw0i7+35ojvY+8/uQUTIsF9zErdg3PpWOwKdtCQq5GhzyEQDqy5grX1Bb0fp83Jvdz0BgA2PNYvAm8QcMIPWansSh//V9Zx4BcGs3+O5A8jqvkR1i5x7Ln7ScY6TErf/gxmDsHXnC6MxBNvl8jz1Qs9xni/+gTcLQj/6ccG7ZIfb73tfGQmWClwHI47dFuE8rvxMf0TED8/iUZ1Dt/0fBftm9fJyijAOx3BjOv9KStnLky41iFpQt2UOy3bURcy4EtYnPA2lX+ayeGT6QdkWr5BY1VNJYM+ehLoJ5j8omDBTxPdHc4enkFkbpnGJadL/Y/3KSWrRmcXA89qZacQ8fQTlws8bwU4SDsBFN8glQOv+joBerUhzVCPnabU5u6+Tr67zCuoAsW+0+TJkwyopkt3BK34Rct1qnBTt4LzOif5B3yZQw66Q/Gelmm2nZuhUuiAlswUvKd5v0wchbKbzy4rNVwu1p5LgSX4unMPQBRK0OsShAL8JUftzzHZ+jxPzraIXn4LzUfWB/G+HVASbFIcvpB4yyVvxzuK4VA+zWF83DEm9ZATRQaXdywmufzHsRkKtPnqz0n0enbhiDCKYFr5ZczVz9klN9S1TzoJMfoudsW9hWly2ZWz8i7EYPfXmv6GhNaiqjaZkrvIlQvU79C8BGiD/+xWxEXeTji3hWhQLMDQrJy6tbCbUjQaGOZxd064DtxIts5gz2jBhhxDhNM22VngZoaRny8A5sXNESAw3pdjhG/fCEoDAbZLXDBAAiAEHyveKt3QrEpCUWlDEDU2a4ekGwAgiOc59vT48jO7/uwnq4rig2GGYABQ1mUUn+NGxOSa7O8eESMoAHaM44o/iWOO4s9qK/HJ/incoGzC4OWLYQNEsifIrGYNRZqF4rZ4A4O6rxVEfCz/bMYK2HsmAEJmXryZN0iG5yFRPj9L7gx6hoCUHuH6Q7W0fk+YqGZ5OtNnKOj5h9mTa5/LC+MYUKMtafiDp56DMJm/hwJ2uVagPgHfk9g+TziOXZ0emo3ox22UEKIyYqYOYTUjSJPEpaFT+KDYMUQiFWWsYDrFYKsTwu/Xz5j0gARk8coZuOMBNnH3frheF3jmVD6S5WjxvElPZuiJE74a+9MeMbDLCsdDu02eZRX21RrP8K2kZZ4+j0qxu9uB4jMwXD1tmRVKHVZrugBdgzd3oZjalNufEh/sRoJkRooCK9H76SkAJoQFvT6LX7ZD/phYBVe/z35avjIeWlf+zmu0lOUqVbgAeZz9VZmB4CTpL/zfE7NNSuFPVXG7yvCsnzRxMe1ihMBnreaveF/LlVK1nKx43Rc4t4t9g0wLcrn9Qadgdo40B+jqZAlieCi7JysP8By7aK1k5o9jXwFJe1WMQRp5ltxiCK2rqWOMS+HYe07r9VR4jvCf5zFMxqD2PUIQxaAwRcrXLQidb5OwgoSwow39MZUL4SOPLpnL+O2xoMPqweHpJToGeiliKPZO0ODZ7amkIHRkm/1zL1WHGsK+GU+Y2ErV1CvF1Al+sV8dd+Ybfc39/hxn18DEllJ/ZSX+gsCg9Z9bH3JPEolgnRk7yXiLzMwDqClTd/rHrgSuVLGnHhsni9nT7X+ZTpSIlgii0dOwlLJQ29GCoSnufw1+qSzVZ2iBw4Ye0VUFAyPEEd/jX3UzylwDRvIw74WI0mQK+oLmeRz7T7t0t+FSSRYyQnHIHuopNxI9rGtMpl3xLyI77bJspNvSfQxX1d5Gi1QlR8kZjWX74CgYrewSBzsWndRoJOTGNTwe0/3K3NOogpEJkq3ywVoVb1bkXupJ3YdXw/Nuwvyt45YwJaP+SgoTStAjwgeARk0EPRqukI+rj7ILzs4ZsqYaj4JbBaQww0Gn2R+2s1WJX88el7ORsZkTkTHzfPKju3TUrnNogpO0Cj6drQRND88GpzxRwpcu+k+CU0rnwy8kPYSLqsUIhyPsV482EEcv+ZuUmoObi6EV9B92rWoVDB0NWxqnSzba0T691Buy89JhfRCCCgDbPjcgh0N/BVCesC6Yq9fIhpAOFSMhZqYP9V3OQyGE6XNqS2c0YpN49KZZMk+0cleBKo/nySo/zDdXfMgVJo/Eu6rt6ZSg5GePZ3VQkhJnOPOtpEkfGBebPMwKEnBr6GUqYVLQbSwQOtbigYQKlz3QQ/gpptocHwRB8UK/o2S9QZ0J16NCrInBciXaf2VkrQldgvxxWTTHhrUa+aSP/hunISUXBotwC5UDugWk/uaQblqi7A2hy5STAFKmU0HhMb78Uhz0onAN79Wp+t1DfKbyqtupeNdDmei3PPzNqD/JKFSL2ATF8ohEwWLE0eeEldog4taxkffur8aW27d22fou+vAMuJjiaftdpuG2KkRqBPFRjWwv3u6FquwT5C08W5DkltAx1TXJ9YVgcCPJBPvT7X61SAkPEBNJTQW658goqjsEnvIiNNsxZR5zyqtCz4FlSuwHRZbF42aUtfwz+3X8P2OKVuMS0XkWYxoERuA5bUybnM8Wr6GCtezM11SuaJTq+ERKm+RvR3mY8JbrEjn3wqE9ut+bkJwxDQsJqU9uyh1bAX3Pw6JehjE5+/EPTH6yZI87I9YxqNuP7hkNOqeJ99HOjmSj3QJJlUcWVCEOrTLjCMLJu9Kbzu/VglJj3AY2equ8bfHdWGdvX5LIQ+5RbX31icBsWsx/00CP43ikRA7xA+yDjjoma0nDBqjr1BidmHdaXsOgT9VMzYtlIpZ6wjzCgm2bQhFa5vNqbyyoJ+Hu1V0dm1kgYCm5ziycuWO1Met/PnFCA7Bp8/cSsoUQY7RBvgdAuIOuvrXFHX+DcXOIXEqb90Y03lIHEdxnUhFrvdDXnQQ0fhCbHIO4+EBWUF9RbB593xqNCYUOLOocI23ChM9IM7MpNbJcMCPieBc4NdpKG4ETcasj5y6LnUSvR8yBvenSyhieYB9uO2sw8wbViPPtrSZjMSReHRwEa1CfH/j3mJomanW79PVFUsCF1Bk5Rip+WWxTZ+URHScY3FkBJZBz0r+Nq54N9PUZ5N86yHWG+mx2sl3xmYDZvgOfMoWqlPMiuk3XKpMMb13wIeGSfVslOK3kcEnbkuYh/s6tq4ncJI5UgEK8+KQMYqIPLaN+3PJoFJwoB+HuRLTyAKVDwLR2khiLV5aGin5+plyhhlxApG6T/tBFAT8Ck8WcSbx7qsdbpwR86Gc0Ov+2YInaPdz4kjerysxnRx3nWvfQPDedId1LbaNyu1h5enGqEoR/5FGqRBBZymPsdH/7Z2sCsG8zeJj8EZ+WdMm10dXo1L1kj616iVcJwJRGyU1rogEqU8U/rivR1BYZLZN9tXdwHd7pjpYql6I5feWXHmocG0sWIWN+apY/u+VpG4+/hf4NdlaQK2Mnds0h6VKUmkoeIi7VYUFBJRRC9c2China8bECe07zhR2H58mkucWeD2z560u6yB/b+1jN0hniy3JHuIvdPkoIX5od8JLZ9RXpfys8H6U1uWTUoKeozDU4JP7EFbA4tJTFkn+xxv4QrDEerKIAsbGx45Xvu9gQilb6as5MYEu0W2HqN1UP6sTloi4IOfoWl2g/ki0rswKCK8PSNiLu82AaegPaH/+krdUMwjOjx9JVPXcdLN4llpLfDbGfehOBaOjDYPK+CeFpVMGHxOibmwBOD7Vwyh1Z88t/usCfhbclKjGnpq+XmcF4u8iYscdppuwNeSztWd1fpU/nD4ahlwlEY6C/Qbjc3l/lDsrC9Ueppeu8/79tJMMhkUcX9pVFvts48pVYd0r6DMpGf+znl3Bp/OIkCIBd8JoEQiZa7w5pjXrCL/MiPaMql2siYKVwam1dRY883PF+vJpGthPmefwwZNO/jE2+UvEpz+x3bXpWYziRMVn3Pqq2MTjfZ7TS+7vvY3wdkboO+KmthK2Ilm5QgflGDbCWrhDjawFIyncBo6xjUzMMqtRdkGth8SgEb6K5DRHAd5/coQoLQ3Pq39rvP7uIeB4s8s5RUM/S7Gs570L1A/pdbsBuwrr239VYwdl5AK1QRewEzfsEQResofodNBMdy8dsnYGw8q5FQPy9JmK964p1w7wOcvW/td7pHzX8pyVdD0564h8hTHrA/jZU0PGOK41PqVlgLu2RyZWjKPWH0cqwbKC8Goo7xB+cK6GjSId21wwsmkJNsQHcJnzydUy7H0ZK/h8kYkOrzg+qyUeI+uXXhsI70M95vahety5k2WFwTov/uEQObaCqlrUAjuVsspbR6kBI0Vu69rej0MrPNcHnvutLr9jHtaA2NnZncxjDVg8SyCrC6IfbdW3TbaXSBUvMCMbcujDk2grYEQbvKODAMmB51qH1SJRTVvDKquoMNlgtmJPWad5E1LvkUZlP4GXYv+PpIeS7G4IZTjwIwMmH64UesSS3HH55LCh2rUvYWbmHX+sl5xCCcmKVeQ/rkRSli1/3Laa4QbC7axgAkj3LjRHYk1dOR/dnP8FIoQRJHWIF5N6+yA+NtGM70bMhsbaoy2PEFIlMCjziw3Od8ybTw0derAdC2SpvMpiF9xyhFg8+yo/JBq7Huq5Disxm8iiZp/9n33ONGu+fwqZEYXZpY2KF1WxqznmztfMcGQYF67XtHXNXaGD+IkBGbbiQgluqQ5iQ/lfvbCV3Jl07ABqsrw7bUwi4l9VizVvQ8fPVkw9hgcioSyLs4UDOkBM8CeQORg1RngYHTeKFRMokJcFBMpiH87z9mnVoeuEXOzcJwizhhqGoyEJ4srrN2395KnbiSuKZSmxuSH8gp2xnpq+kuPAvO1AS9s8TRu1GTNHNfeIqgljwnrQrg8znUgFkV6ctfKdchIBjP1WqOU7PFOiNPZuJZgFNcvWE7lqM1tyGCif4+tXUUSxyuqt/gXEJBaiPn1J1ykSDCxDLGfDjM8wxuwGQkinExVcMSUd9SFX/UPzYY7O68kf2m/r0ydsNFnzHeuebolKjhgfuHVst8t5AOgcIn772NjCh6ogLP/sPqnDd2vfjCAE7hLVG/Gyo7SaBN05TcD6/r9vHHVsd81Qqo7UL8L36akFuXirzerpSoitm/gFUZswWuEngzU1o3XzZDgXCiD7YLLZSaXNJcebuxTZySl55sel7IC6LbfIWd9QATe13VxvJOEPnWQwgpuq4ueCs2+KCCHZinC+T/iDpag7Z7fHX0t5P7lhdg3kdf3Ml/OWtle7CoQBgRzFi7cl3uym2MQ+CfLpYnbNReLt+1SUKVQa31768TFKAWJaFxx4UVk8WQEvp/vZjD87mguwOjknVpfblsq+HojeiF/yTxizAObULI1gnb1+Kq2jWdKg/erONLd6o7/qKdglZXh9FeBp97KoclALLS8j5Q/OrXab/FlgJFuOPoiWvNk0OxCvMhEavYiFB75Uu1tVr1XYDZLozzskGvpQ0FXnqa1wJRM8jmeRMeaql2LD3s6S+4mk+25mOvCW3JEUpH08nBjAgnRnE+3XaUbclB9qGPmFpPUVYr6mZ2x0yYA5LB9QdnUxsA90QFs8ANBFidMsVEUwyTgRKIa1eO91UVV1qOp0T6jH0FPP5VnJZVLM7fKngfXbEvpcl7cMkO3S9uoA/zYWyHnVoEglOUUQfTGfKR7WU1F/mdcORggIJeZWcvGiZZQ2IayfRisNCucQIQ9JIen8OSk+CD/AueanAO5T5Mi9GKuGqYhqrh0vG+AGQb0VoPSxGOOaQWbGPsXe1JPGiJPyicmZN2rKEaK/JVi+db7U1QNw0IFw6ZdFRbvtusSloy44GIFriM0ZTzm2Gt0I5d0v/bW1uOeVwMLAOxX2KaMEeZniUt+5DKwK2EjEAV5gmzp8P/aEFAvPtY0I6A2AD+HhivVLi6705yTLRH3jeM9nyMu2m0KTx/oVniTVrJwp897QHMbt9IznwoiUy/9GvTT7JW5PyQkCO3NwmDfKzcZ4QhWgoUXSSKpB5IeDQlHBIbIlUaLH06GVkniKD0HecRnEBqYtctBvuQIsgQUWqmtYVOFiVoVwl3H66fn6DxHhWmjwwpBs+TPzYBmOFvBn1TxIcViYD1urUjMHP/m+f2PSeRsNkwJBn1RcN3QPyH6Dtk1m+mJICYtE7sxQZRvdJcWwYOuQAPd9BhBfFNxyae07DCPIgTAIgBrx2tMitGp/Up+yZeHEhRgfnX3ytywz/7YOAxdkhnLRaN1mldN8v4uqcr/SsXEc3krnPnEZvR1LZGEWVdt1FtIY0uIS/+UGHMBgm0BJV/CwF3zNfYgnkC0iw2aZ5CfxnRnpUlPcs3P0N4hToXzmJEohKNt6pNLZq8za1HKgdhWPbtwEgNWt9UFzUkbhrR636/b/C6Q6ta1WBWvYA7OLax5eSSIXsIOCm9bdEeWh5I9MgHKezxLHcgvmwwSH4jHX403vgQ2pjoDdHQtGrIKNQ9+FqQkqGFlBVze5gpnK9JWP8NvOi8cWPTstEjWr5ALitU5Ctaqy/NPmd8q1YNYYH/O7uWK82GB4oZLsOG65JVwQ01Z5rrh4cE6W3wyOqbBZwOg0pM9ZsMSGViM4ZZ+SDCecTDplSFgxiCfJtuk2dPVnE07q0FIsubqo5NcxH+ZHaDjy07lKmw67AzNChg5OeHhq4FS83Txil4/Z9lLx4uF/IFHtYdQqQ10244EfG0JRRJ++PTrTVvkVFij8wopiPc0BZX8F/RCdc4Uzj61zra1qmFvbjbNBCTTnT6dndjVftqBN4CqrCWaNch3SCpIqH/kzzkh3MRwHluv1n4VVF1ROO6t1R7ntlZ/EHLQ723/Vr8wdGGCMv3xuY560XKdsQPvG1zcEP5OOtBTUARIdBcPVBWmKsQskgN/d6p2yxkVp3AFeGKX0ycx/7lUgihZ6zz16R929benrw3CgWPzYFVMF+ac9P1zAPOL7IWROxEkR5HP9cQEehQnpZGPn91wPe7zctZRE9h7Qn2D2Jrt1dwxXb9f1zOG/wBdnM7OvHn05SMBzUNgL0ltCvd9D7llXe+OmBCUUBSKiQY/JsHZHHxn901fzH5VT66RQL5DmrQTALRFZ2ArabZUzMeMSlEaN2BwLTr7qlmGvVtMKOy4YlkWGi6A+dipe7EGuPOUYcC+JVT/8khuHmcQA7KP4sHRgy5c0oWj0pWW5jF6jCzFkOPjBrCAr9B3QnhkMnU869aF3ZQn0ehwdlye19NRRUH1HOnogO4CX595JqlHw71LCyFroDE0RRvGVKCZ0sSBAuac3y26xeu1m3kQJCyMDQsCFMtyA21LcZBBk+XN6kO5kEdLcuQPNPmUcZqQ06km2wTLznuq1alvqJJFgDUIwZlQjjs07NBg0uHrtaBOZ/uLKNmyTeTvwIrFCI0SGcneGL2ezk7xEKShMp8hBRtemyuAcgh3nuTiLzhW3G5ExyphpiWIMmdJLSg+mW+DeUWuNTxmL2uoyL3uPi7q7bFrUDfSBFyxwCSTSkx4h9Wj/GvpLJoqAk+eIePKAXhCrN33/dv5f/xUPROjVsZxtkO69BIWYwG5IOta36jRuhszhTvz6HnEdX6CxRiLbSdLl5NYmiYV0pseIT3+XT49uHDmX7a5c9Kzj7NGibNOtHXEA7TvlUyaiKLESybhq5WCrvp0xn+AGK59wih6cqaYLqKXev/NmSw9t2kWpmabvoJqpDVzbYrAPZHKuKsS242qAwbuqJlKue9Jklgkae9WL3w6bcA6AaMq8CZf3r/DuxiTnUzyfyUp3nIBh+Xadydypgi6V0KJlVTJk/VnsfyApRimLjUOpNPXD1l7qNvzOCNiOTNAdAdV8czRTjF3QxW/YzFbU8cUqA7QyW3F86toylU4W9yjpgsfAD1S24d69xXO+ax6FCrX4c0c/iJZTM1xe6kZ/LEEoG0+30DXWIGzYh86aJNN/z3JhZ6Wum5cYumzALXwNPDczWCDef1M1R5u+VkRb6tR9/l4ivp+L5QRSEmHIrN3vKTuYl3k2N+znIsRMqfEEllvxCSTSqZILN+NpHlwOkyqOymDS2RjobMwIj0PNHxaQGkh38b9MyXfC+B7OC3cDIPTfeasM/f8LRHb8jvXbjqQupt9wdhknbOlxYewfz+TBLx8E3PS5St5kamo11v+3e5roFBjgA73zORxXak91IjA2FdoU7hk2AuP78r1FM9PaJ1FB3boQf2OxRmjOhW708I2K2Ef8xV9BRJT0ARpeLg4/L/xYK+7c3Z3Fe1Fkv3rmlI36ZkI7HEJj4oIYlrg/hWeK/3NGvaAr+xgGoGtiy8VqO/2ENmKk8ivAf1GOpMX2eqAyyT1jT8SQ0bpkGYhXEmZD4ki+L/Tu7TazRy9aZpNWc4CpZp81t71B9843h1/uB3P5cH3Wb8kjFRA46y7vBkaJgyqOijhRKEB2iC+9Bvt1iM5XJpQDH5CmijDN2gZj20VBSKiUVNLAWb+/E+qu9RdSAYCh/LklgkAw+EN8HnwZrVW3/KsMDRGGeyNaOrYII7Hi28WUyuLLvM+uzA7SxK/zwBGyhNVAoMWWw+w5/JxEduwZ4pWryMuBEA7MZPOkzTvnxTfMMiVdAUwGcyXI44Iu/bmT4OMuS4NdOBVjwW0V5Rz6gV8tQjY+TquKFOMZre/nVd9lMljbJXrcIKZbvFtXVwVgin9KC3Ymto70YPJpEAeF0YJSEV9jns89hpV5TLwuBNPZnTb7YFNZiBQlIZ81i6NNwFs7MDiUwWqhLTYNE+6ZXBx9lTmDZFu/1lwdzlNhcxWmUqjM9oQdAWHDgFh0Sz2AyG1A0vZr7v7WD9xVOUPtDnT3kNuwAdiq2JJZWQNMv/FwgVFp05dZIEVtBYyd3HkNPIi24cT6nP5CRdhKtqseH3CCKRAQZNWH9aKFR13WP2c1qLIstp4JEWX5V8kxREdMOFRUO31ND/tDV+fBCY4RDwO3y18fHKni8tuEccvg9r9wJUVoMrmbjIoLosFfBi0QIaQhMasiLlMOA3HwXaCBgDharrR74bLYJfuSZCv7cD4pstsdY7RRHBJ+ea47fzdbwlpE6TWBuuYfuaLqXqy2MdyX41e05q+xHZ+Q1csXLLaAkPGRsVWOBgoe/ko3fy9WRtbpWCuADewEZBagttfFFeHJwaVQ8SImzNrgZ++pQ+si5EUYX7zyh3a3OmL+JMuGz/Am1QJ4I5DsvfHsxbd0cAtK1Y+5cweo6/3Zodsm6ldV0XEjY0Xy6R+C1rE3vlQdpC0dePetbiWIIffjqqmMtd4dYPuTkLM7eoXZ170Saxu/BZBiMs99YtJ/7sdb0mG6S8TUPMshw0S3G02tAPtmNryB6r2Q3kttf/INthgU+erTTNCk6D4vIxhOeZgvGkRhKdHYrWgMCKAS9UZObFRDYiandOLQknIqhAE0UgaYYn9WcJeyEmNq7CZmFuep2CckInOuWT8FN45Hko2d+bj0kxWs5Bq+rpc3Q9lBz6twgydlC+F0y7z5PEZBDHMTXbDDmAlViEW9Az8ly5AhyHDYK5TQnho8mDeBPWKjqtmYxO90KSDm9/UseEP9GRPd9dSIPxYTBwX4MuLUOWDdkiFmLoijpo30tQCEsVqsLzp0jLlnLCdeKZ8vnk/KYE7f9NQr296iT4LYdbMXWiWg58ooTH7O9SbvKRbcxItsWe4LHej0mONqsSNx1XX1ZIrUDMJ6neaVKpBFmXf6R3qntdmivKt8wRx5vuzOhFZUVDoRh2/N8Ze/BYPYWPL9NGaAaPM/Mgc/7ydwm1L6xzOnt/0ikASAAlk897kq23/hNXNC9ia1LQTaE03S/+uES83do2Gpjng/VBivzRAX58h1f1DiX9SnINs+ZNmv+uTv3MHDGqSA15b+KXzsiB66Egf3r0dO9ev3eQGjMRoT9/1Wn5VT1HpLWGMC1RmxlB7az/SdFevRLo+oKWeStJ14Dg05sZKcA8nBOhwP6Z5ftDYH0s2KvolXhj7cqAxbQRBNRAVTBZUbHnmq+VMGgZf0S4S9uuBocOE4O/XFwANofilCGJtt2CmkpZXyfFnNsPrXAcniwME7zq/boco5W02jJR5CB6R6CA322295QbTUD1F9yVimb0JpYQwL44wCE38LyXac4XgeodB9xGk3W3Y2SR9sWS/G3qoPkJTkjA5kgsJ9X3QU1uDV/xM1GRZt3aa3ZIk1cOxFeJ9GwZ1L3HL3KxgsL2jMdQzhBboc/sYSZxvkvTZfuAN5rxSwLR3bORlXoijwfGep2VeK+qzxT6qbEpo55crDh/ARTETJ+j745I8RDL/IVPBuAtd6DfFXDZKUDHbFTI8YiNzFtKRhm4J5Z9+hbb92TM19stpoxMbSLTeOvucq77WcTqiedrTwaLMH0EjHBSvsT2mvPWFcqsra/k4woJrD3IMTtmlTUfToJorVMT2UA74roCbFK07M/FfZilk8eTtI48OIrGwomccVtxRyKt2xjQS7VzKXggkaL1Mum6op0vt56zMOTqU5en2/5MLrlFIUuK8mOQwn8V79BB61cbllHYePEE1r/c0HP/xs6KpaZoFXxwif+0+xkLd5RTU+swva8YblmZIe6poiIFE8Gr4xVrh9Fn1wHeX4s2AB/ZRKnWSpJI8vS5UXDLRxo8GyC5gG4UEwZTJ7bf6MlEpb/c+IojLQJ0WbMDO9krmXlEjpd47e+I9QJz2utI1aAD/Oln4gb79ktEshEgVpo5La6HO/tsm8NuaFjqy78ydPkntNaG5jprEBSDjGucp5GBeLQE5G+958wcWP82IJ/a8LqniUoZ+3dFf+HCaFb/fE+5AFZRsLKh+15Y3o6D5EcPwvRsKwl83DJVdaRLu2X3hIQThT2vyckrnDuT1oWWinM+1OoyzayHDA1qCuAfUB/jNSXcodKuAMDkxL/WoKjh6kvjpTUIVH/nSHuLs6aZ7aqNSIOtLPZ19D3A6bOb+/7Dx/9iEO76sTn/84NHEI+Souo8sZb4rIV+eMgqul7nkurdXRnlJEfMjqApwuob3LEKd8+v94bn2D5dliFd1/nhnWlHGhhLb5qv1gCdraIDnrmAPOlvYgywZh5FBAi5rFULiMgqdHbsKtcr3RbibBkIomBeybmdw98jJiSG77JpUwl9XS2a8dYTgsk+RpsPhCVCuq3tKiehbiksods4Wc4y04e9zORIPrIdNNLxnhQWuW0IQFi1XyYgUmwnKB3hqUPn1zELDirFuYVtkfCdP8EnF0o8KyPlYQkmOkXOcLH6V6HCHI529vIVxCVTrLUvHf4On4saEe8nf2ZnZ8tWMWpqfah96C2mTPLMAZWSsL+h+WUHvWajqKDvFX69BYeDr6deLL8XRvetPLK7wXHlLSL7eLhvcnpB6FKbsHlQqBHo82Z7aZozz49U6WXj3nBD4AiHoYvM3a/o4Smk0/Dph8459EOv5Ctx5X09XCbSXWYFkKB52Uvxr2ZqHFvyjsitUo3ZJZA/WPySaEL71mgN305JT7gqzaV5+EKI9m3XtWxZ4GGUXGhS5eJX0MnqLkUEWAA6i5k4+CY2mp1uYdbziw/UeJJdkXhVDoWi9weZB4eFNjdsSAXt8wDAnMcvziFctfPP52KFxD+QhcKpkZz5DRAdYG8nGqiyRzEviVVOb6FhCGf+MFXrYo6fptr2aBObKP+ET4pic1N2GqLhDQFsjAg+uDrBdDgF5uRKrqj5LyW/48cGkYshiCS0Rcs31vxDyZL0tk7SB8XYxtY8EmJnSYkH7yu0WuKzNP7O+MixMYYnAqDl1OkED+jFxJYIMVioWIRyOo1bF0RHNd1deZAomDTJNaGpHvt3XpUvpE+AWzuPv/ImDlvLsVBrErOga/XlkgkrOs5uDuxCtPkHcrkE8DVTLbhIMwLFCQFDZY64JWf2k/MxUxgP1bmwX7QhHJPYn0DFXqmmiUOwzSRXkGqROjtwLOddCV8os1hZSzEb0fS4p8O+nehxRVmI/CMA0tiNP+9mzAr1eulrR9/HjVBcctSqQtLMj/kMwiLyVOYNYg8L2YFY0Lfv2cIfYgS0LfCKZp+1eRZ0O1Ib8Iofc870n+OgKkwlv7hkwJ4KeP4CVcyPrAu+KZUktRA8Jw1CsiFKjK8fLpfl6F3dCLdErUxHR9dfwU56B8eIITw2ACOs+ICtY5J0lzfwjyovldazvl8MygkfP8fumJovUwnhGjSeoFtUOJKIPJX3dYIkrGc5Sfleo1wgwZY/9xyHnuHsqJBN9vuI7xMmu1dbzem2p/I0JjgrmoXTADHQ81li0cqO140IQnK8z7ARwciAMVeuuwMs6xH7BYaUf1TPBn68BgrTjNeAjVathHyr90CfUFNqG9L52jBCk5LR7xVBABPeCMDTa/V0UsUK1GzjBrR6OThXJOXG+As3+ggLUs6Jw6TP8frOw2Fn5cQLBm1rd22zgbqC+o0fi2qoa3ZdBlHLJOSGmaHorOvyWj/dKnT4IXp9XKP5v76Cnr5IeSMM58U5gMmomoeOOlqqhJOSFGXem8rqaXT/u3uVGgnDXiTljhGwuJLtEweEOrcbYJqr4hhTlDjzEqJA5CK/Dfw9nW9g/mZd5Lt8WaHbKEso3mlGJe4phCGCj9pfJDqs/nD/eD0ExNvo08jHgsAXF4osfdKRwBZXytGE2NU85tRzMRIFY75k9hiddenKw+1BS8+Inlq1GsvmhYgRkEw8F6YG5J/H2HT2hXGbSvlC2rpGRtKyEVOBxhsK83hZwA3h4W43mLpCENIQ9NMzetHxcHRNF0LFbr0n3DYH77EY8SQ2AEUQa4d7iyIKjhk9KmWvmZE1I6Pdut7RDNHXPS4G2L5ryctPUBUcKAKS+A7qs9gSvNNk7rFMFQ7K8wQQP5JkOJeDT1BRii/Pcwf7cjdJIDrv3lJfmBGey6xcz9WYTEq6aoRAIVf61q8fJJZv5We+KcP9/oF4w9sg8QCyurGU1LgxfgkWo8e99KigQfuLcDWWjfxrHwF5gO83h+qCfrHvII3mwLeHD1NmDcUSOr46dtZl4jv9T2Eh9Cq/KOC0oaF2QU3ZObEb2YeQFTbjKtYxli8p+eQgVh+eUvzV/3sE2P2ECIjbS4w0k/nTjTBpcPPofDt9TKXP3ym+RGr5sAya9bnHLEtrQO1JgddXgofYj6AKSXjGXyo7g0IlFhMHPzTx9mS9cIXClBPnzxu/jJnHXGBi7LDfOalZgJUA/aMYVjVYEsbr4N59DiOrtNOwhT47rucxWRe+EJuCeH7mlXIqopKICNNtXr3N+972jDSAV+OYQEdVK+WRmlKBSJx+fV9xTEevn99eWH3P6g+WnVArtNUEH0id8qQLrZAhurGLAiauL9AsOhG+xqaPxkdkej53RpBoiFlxA01i8tc8np0tTZy0ba0PUYC+WL/GUAVEzrfQYcQjVCWUE7hfZD4a76gKszeQdIC2sfSG1HVdqhNmcazIqBMFqHcR/YK7uyG6TRwuv4qJQtuaaHvz9MMUocxjCoHVOCwK8Z+7fV7c/d2TsRG7mKZJ6YgIuf6uhWGgzI8nNkP/IEWcCJF5Mw7Xxs7lC4hAPkO4gp7YAtt5QMhkPFqSohgo/PjQG8UJQwmdAtYbKZiX9GleeHWDvzEntMrXNLDKsOFb6jMje0/P/43EBbR0TT+ct9Ld90tCESy0qUelEMP4/O1UjhmOmh901HmzJbpNDJOcfnkTY8nAM77jT/4D5NI6+8I48ePTmxgXtbldeFhVnq05td8BP1Dlvy+dXzPlu3Fd7ZqfuzOAu3hKUKW0gPHWw6LPw/QU5p9jLuG6BYtiVq+81lCzpKRQfMVjczifBLzE3LkFOI8leuMbCluEqZN5MfDHPrMSPFkoU8jFJKAM9KZQOnEE2K/utZMiFhxgiJUpMmckW3kNWsSRK1KAQQY9zHYUvHXWjWws60zK0W0QrL1o0CrEQCXenRKXHtvaKyIzoiapRpOIhzaYNk6sMHOn1wwmIQdqjpHmCpbyVpVILEfCCeil/a7QhYLlTeGxcd4O1CF6HnO7Ua58wwFk8OmidUJW1YVJi9mC+5UN2W5l5o30kt/5h8fb0mlQKkaakzVG/R8EtSNQ6eaRJ6EjIQGvQvKHkbBgH7terxJfeJqhvUjzw/3rgb5rlKI/brVxX+90P/ZS3YjIevdsu7q2gHiUf/veuok0arFtPHkGQiF8OIP11nDZIICj+nulExvps99S39qX7MDb/bPZp/yaIUv0akebeb5xOyFdw3MnUy87FhSfmg/F7ezz3vIHbDUJ3uwlLpYNgQZTx/TNYGs2TzSmcgxguomQby5ZZfXnD0CyjzRIJkiLqttyDPopooQ6UknIlAg5ONYB9D9bLS+wA2ghqr6Tv6nVvlqgI24zcLCxJpGlLJuNa+xg4tjZ6T+UT7SwvGi/r7WtteW3EkeY3bw419YgApVAyHCwaLxCENQb2Ki8+zunalN0bZqWK3ciJ1Y34RDTTykZxBpPu2T6kp+874yzDP/p1HgHYZPU8G6llW1GKcwnpSJHXLVD962eYV4xQ5MqPFw5MxbKfamdSKAEqMY7DdiKsGrclsVOsv4gGHw9xPxF0jYMr/Tl3sbM53i05z4BOe5y184M7+uCYeVULO1sBgZLz1OJ5Hhk+eB5MmSeKgedTREEKQnruLMsqvNrSsfLg3UwpQT3SNLvG+yPyexIZmGoHJqJ0gLC4gMbU2iSODk7cG1YCUbRRTi4ufY8PV/RPsOmYT/abMThz6X4KSQzMw+UejWjiGeCjumSvxFMwsOUHdI3eM/Mh9ZLigUQjLpdoVS+kD67ejqxVndFzXcfzWvRCyXvsdXahhD69yA9C18TNJYQkzziyL7GV9n3XqGTKQEEAZhuMa5clLrGhcaPpt5TlO8NajmF/2fiUZN8vo+xjKVXImkLTI7Lm1Xq0pkysJroeu7ii5wJkShQSrHeGGwScRxIBoK24/3uhjtJUchzE1WypxqsijNqB7isOyclx1OH/dVQMtUuJiVUz59vgZTQqz0RlUHziM4Lmz7E9YGR2dkOX/fhK9JZiCE7uhDDw59d5C8KiZeDynj+9CiVRNQZtsgW42t+EB1wiN8sIutpUSIVJ5gE0jCcHTFaVflU1BiZcKPbwEhVcMDgARxuzvorbqZIGFWUstrE2dl+TYYtYyVAlyzUxTiOZelgalQe8iFtd+ZCcpF1kTY91D7vwVazpZrf/9gr9Bt0VSt/yfbmoJPd7TOvRsCKYg+7HGyLruhnbHKuG61EJYg1EdijzLEX9sLX0eKomySSkM09OACM1h/xQiGoLUyJvLYhlRwTQvvLm3HMeRYVhtChF6Vkqu6cxRwo4s4rG92qvo7R1Nv1yKCFeDtm8U/TpF5XDIMDiWqtApNVWy4J1DLS+5utUMVK9BsqlFa6B4YqaMU7Y/JT91oNm0Y7TLVTMlAAhLPiHU0b44rocldj7KUjOLpl2Na6UonD5daUh4dhzwZ05NiTW1Aq/9Um+tCElug11ADMZbrIPPV+38yFr7USlQw1y+Rinv1YnIzxxgsksSKyX/NzrN2ta9N2YBrDA916VlIpP9VqRa64o8MHs03/A6dVsB5QFbU6hLmIZHOCk16uCfNQHjOXlh9upoyZ6Snl7GeCCJwfdB+H6jOGJy552n7i6zBxXeyQELhCE0xzI10/K/sey3rSYs9qBfLuwedmfjMZRQCyD65kK0YcWJkI1708bSjznyJEiLOSbSfUeyKFcM5IDx0WjmbHFBFBPP1g64w9CI20QRLDhIhFLwhfV+6Mfy0dCEb7hRYilFkntMj07+i03/L2X4ddDMwfxTd/EGFhg78rElzH38YsZTR4NjPrM6Huci4Sp9YEUx1JDqGejWng1yVTu0cl5MmM9mESh/8f0nXsX+5jLwNNHcbwTgxW4RidFFl/cBp6EUh9IKmDEomoZYbWqh1FR7+ZvY/iZQAQLo+v23g228o1EzV4J8e6ldOscqobldTXvArT2KDKxcK3Cz2ulIY5XSC14Byl61/B6+Lq6byceWigMxdfx14J2bBGia77zwVZqctPubVengerOPgxZWMbiTgj+lVh7r0y86kkHveDf1Vmc5wviSCzhArqbOD8b5c/siQRVMM/8XIKjo1gKFoaPQ8b+C5MY4g2YucP6l0yUb2xm49ugyklJHCKILKsXUAfSsjkV6dY3hMGvUGB3gtRe2nEv7fcLJtn4APxhVnaxLFonCyehC9YQV5rh23OIZi2zTcF238fiioNhY/5KbRSKfFtySohIRWqLvmT4rOni8xaPyQrnn3Znd7YLEdiTh74b2qzNCO+B8OtLYhiiuOqt5sXfZUy+WRuvt84e0CHQEFmE+ysicwE+RzLOYRlzH+M+V+5VejbOF3B5r8UNmzkpeRRxExL2qgLUNhSV+FZ54QUT8eTHuh+lRecfPwf+zaf28eVhXreKV1DoZJDm4IMR63Y8iymElFlCKP9A8t/20TPgf1ihDH05nJ3wx1FKkk31dC0gmD9xo6/xFszCXEOmtXniXVOosiOoJ66Qka6nLPrhhO3wn14kETODdWH/TzOacfe4lDds9wMQnDHEZfSR8hN7NVMG7JX42GJ4JeDzYfry9GYKstKYb/aCPvrdcu/uWo6VAdq4Wqn6DiM8xOZ4VGIH30hzIhEiCkiK6iIANH2UupQBBA3gYnkIIR2b37h9WjgrtMBKlGN5LZXmYlJFR8yy4Uut5rSVRdWw5itMnfyzub8kmvnV/8dkCv2cGQGfH8vbelE1er55zwqMdluviSHpx90jBB6G2q0g9E6fW45TR+XRWTTScKTl4zIM0TIAv8fEwxleKqxDOCwiZSPvKcpEfs4YZiaJbdLECm5BZDk7I7mlXGHmmwI+tmXKq/zhXQA3zCpdARNm0flVuCgfHBH3y4nBiXXBCi01zYElTruWOaGatkbVv0ks45ZkzAkOFjYespI2f3wtDLfPYJmp4akrbtiXkpdSKgiW8WD9oH2xL+FB2qC/HyGC24iR1FepqhLqYhgWU7Zedp3EZgKd4CeeQhsBCrnAUpOIaDE6lVFVO6E/0mcClz9nCuzpJGYL0iiCjugermtCsS/ha8za5l/gtNX/0lHJru+gCGoCJxMjA8TPNRWD3NexjldPqgRgrrHcBkkR2cU0hQzUK6+ebYQGarfq+Gk7WkoCoJVFVUZcAVTOAMXeenrEUFImPZfiqXyJeWdKBaLBk9NBCtnpPigH6j7ZIIErAdHt7lSrjy3Jh6/m8xmGYNMRGZAoRSiKMx/abhHVt09VVI0z2w7cy7EK4gy1SH7VgGs8L9SHQhP0MrGmi0KUB3oxLU7LlYoEVpSra5KnqfuHrjg2NA2LgZjGWQqm0Y2oWy9F5IFIXCwgAiGS3ZGK6CxefNSQ9wCALODgV6ICmCYH71PthOlq2SVj+qyJT8Bu1kF0TFHqKz8jt3sPk1vcmvNjtBpJjH3o+2oDll4sVYzCQpOLzwMI/skjlbZ7mIVsn10QLkU96nKmH+OibVZE79HDbsPmGrOOIW5x4Q8OIiPcXeabAh5KJ+s/qUiw9CWNma4Qwas9bP5BJGvgKWZpAdukiW95RYyAEtlca4kV0OVGkg8mV2K6UJcY57DVro0BVeMCr3fFjEPzGO5IiHqLQaAbRqtlZMFKkI+gI5MhiKCkZbXRs3DZMG32FkIjVcJcKkp+leqIO6HPsC1bTSToem23oyAaOR3s0S5X4vbKNpPuQ3KyoeXcLPFLPXDOGVz5SyR5n6oPQR5KqN/hOac1SkGt/68rwCMta7AOjdTHnDJzHOLxO8MpWyFVzOMVA51JNpJ2yUUcQLi+XVZswoBUlXjBagV+a5OfdGABNwUQDKk1K+//CCzQIISMWdaQ7iWwZ6Sre2/A0ayVdO5YoX9JkxaG97OEaHinh/YxSKverd6dgAcVlxFehqUcAO5SKt09e/G/kUA52VxTQeL9Qykla0vl6maK3CCDoXowgVhR2QzBw5C80gg/HYe/5tFnXp8tQE0uO5F8u9WZpBX+s7nG6b+TJARQYBofiwVtbDX/q4wqUPPXwaXMU/IXuuzX/oNCFd3hUuxT5PiuIsc0BzLvouP36otDHM8wJDFvXCc2/J8PgEKi3ptHmO1fZcu5C56yDaSTNYiQPbGGLpbqsRuvWCUqz3cZs+XYJyO+e2vTQ2EkWWg/Gp8WPWs8S1WB5yBHRT5NXFZub1nafq2AfEDwxzk4kfwr8ehEQzRyu8QXSCdqg/CVqO+wNfXL66zoVQCxeem9aWVGL+72/eonEDLHt4N+DQ/nSzuw4rScpRTKcigDC6uvT8JV7zSDaNM4wDXJJQDokLO93Ovi/RyKmKeBbZtYK1auf5AyvFmpkbJIGAnbdi2OXZ7niSnCOLNDXAur54TxWNsFeLIdVZobe3Qwj+Qc8LgWz/7nMs2GuG9QP2922GXH46f++AIZ/fUZiVpTAhGFtTg4Tk+/OvLuSkijXdSW62gsUMO8a6wxEfhn+VCHBiqnWsNp300lxS/83yy70ZrnxWN4QgolOJ2VyOkgEdpb9aVhVXKNmSmkeqPMcwzpYl/BNSM2R1G4ZK9do70M8dmn6oCoGhvyvE7IrawUdDfpIHXPjt/C6iGyGT7UkyDbsL0BCBMJIW9S0EKrHVRpYjlVDf8CIXJg6eUT63uV06bZPARMxqWVJopSXdgxgnpx+zZ+tXcY69fdr/gKwRHq6RhhwN/LnTXf6juQoyh2KdHFAM528VsvCpE8l2M5ouDpnwNIcdxVnTle6Z+tSm6LWxNkyHTO8U9OgpQnawoVTRSdQ/mDmnKp5j0C74Sr41YId5xXCLvw3ZXvHdZumLKr7LaWSGRBj0jnqnz0FI4KUnk6U4yRX4kwzVfGVyEvFHgxuctz5Cizelt399VwNP9mekVEOsH/9hUVwmZ1DHV1E2hu2wkWJH1C+GaroX+EFTWkFDM4tVKOQQZ8F7Xestj8kKMNUOvkwM6OuCXW2Ai21TZfNhPfL9SDBv1CQxMoz8Vy+QEmvLD3p0fLHG/m2//bde0LnHDW6ctnWUPonCkjSJpajNsd6u1XaoE+udDhUI/bPseHDnB57zQgLcxyyZQobM+BsJYcKZ6cb7Fnbd4+IEO7XZSL3/NyZG/3i0c0R59HNbiVxSqd7lWJI4eMEoj2k+oW/I70mbAOEcQ4tlWMBDr7b7XZ2pDQm28r0bHdOS9fnZFNbT0xhSktfsi5VbOWDJM0XRQ3pe/t1UxKGQwWoZDY3UJo/D9Dv5PhbJsBETbRyooBIi4oJVjGE1OES8NN00InsJ8CJCGZai089vZb1sD/Y/sXp4c/ZEUgOZZk7sqT+N+8wghALeMF2fOSRyrhNcV8Jyz8j3IT9Y3G5Qd9uR3bKNftiDtbJK1BER89FwZKtWK8Z1a6djP7OkZje6O3S0SMNElZzTt+Z9+FOPChKzAg0TV9AY17KCjf0JbRdEADtDPFbi1I1ymyRSLKgb6l5Z01ciCFqu5jnjiLq+SkBftEH+kkcLII3CS1HSIjd6dn6Wi8uHH1r4yc9Zoin12KrDUI13kQqcmRAKKtDb6SaVmImgCUgjaBU7Om563SJ7o1G1ZST/9s3mmZvxQ5mIzS79S+2pdwRJJqVQeTRnAvSen2yhJTLKsY7y2lkRfAZNkQ8/hjiU8zeQzh+dhsYRs0fy39gYRP0vTr6URWuxbkW5aG5zPO5SHeOKgmhNprLLNk8lnbNRwWEJ0JCHkstSb8oeB0HHJfmXkkx/3B99CujrIiAs6m08ysLBxMjhqAPcOIisvSxGEamyELd22bTvD0DM37j4X7ehUuWeIiUAUBMlCYhO19SfgrmE++frigCT9iTNQh7YPqvRQO/SnAF4HG7KMbHUcD/wWqPFL950XtPm1CrqTD52oIy1VrmYwIUylNo+fOGhnI/eWAfqUvJFftDvl3P3JcicBuAIXv5/LIjT0uF50lLlxLMfr0G4Ara5BBaSseC1F4eS1IuC5/8x2XarvmgAw9xOz1E7XLemIsfGciKoXkVkMUJs4080MHmj+oPpdjHh34ZeuCK3wQdFidd6CBlgowXPDke9oXTgPSvmTdjuMxm62ooIExYyUlMbwESCcaom27JwYWbCaxIIZ37Pct/VS8nU6jjKa/ZTdMeY+r3Sol9ZASrQCcTmmg+1OwAAXECMwFqgLvgqnCZfVBggryOnEjKRw0B6jLC17aYlgi3Qf3a9XevAAjpxo257f7ObIhORqlS4OKXIBxF86u84UnncxCmfBmsRc/UhpK4TYHGNmWxdY5/Ja1Axxo6sd5KKFNkmBgi7BK1ZIbRSs/iSQgZUdVSOHXW2q+7wLQs5zteaCjGgeWfjuLdrkDxLLWUC5/fbkh3fyehTsliFMhErynBH48NS+jMBANYeo9xWY+XyLmEuasxakYQg/aM6dUBpLI9DrP/2V1td6Wia5e0zinELRCIJAnNAGMtQpqbKO+l31PCyJXKXozepLjr7kem+1ubydNzR16QfLmET47z0a+rlzI/OQbTo0+NqwqKf6UFedQ7twgUo8X+FDAXAXMtdzItPDeHajayM2Lr3Ae1xl7kwManWd1UP9RYRZ6xpk6/RMHKRrakIoekfaRs43sgyFQgS9dFox32Za6SX8sx9hs6IVaMxA0LvUGKbWLKtC4xhj4z1VcrUoLGMt38bIWYsy1R6hFMfvK4tPNyG5JSeeQHMzujjyAIwV4uUpnvhuzKM/US7mnjyuZuXS6EjAWZaUqRdjXlER6FIf7ilORRoh+fU9Id7VT96pCmeIM4Fbvsqv96gkLVpC9o2mJRB7f7LZDTJUYvJoKCkpPEhJr8mIwlPCiHWB+RTkgXVnEWmDPMnYqiJ4EYa4Sf8iz6TV6a+ozPj+oziOfa2T3qMPcxLbDnL96G5BIVJGPr0QZAfIDpk/vGHSxNPPb3N6OOKr9Z1GtTDDWnQDQpsS4/VBWL/NzvckpFd3gvHY2QwzY34WM/g8BXNPiycJgg3qlWKR/qBfSCMMYMgzsMBUispSzbTGsooykPn/jb+tZXtLdbKUGfHH1LeLGPdZ034V2CzEcUTzwi0u1tx9xX8v6aahlKe8VfhonFB2E7CYA1AvOTk4pY9o/3Z7Wu4SB15DkpLKVyBi17XH+2NmRObZv5aFo2y55sT9bNEjlj5L92Ini79qajoVo62hDePP2gOLa8bp1ZmMrl3s14aOaXz04gF1WJVhsg/QT7hu7jBmRUaQT8Pi4sKPKWzlpMPNaUBGTq9KgRBPLcP+6qGke99uO4vDkEz/YiwO9isqJ+eXr1igzqu4TgpG6VnmXluEyAHz41ypfo2AYwhTKhoftrm/iQd0pkcNNicrtTU5v8hum8LxgPMyLTa0eClse1kpfF55c1Z6IYS5ccQWqq4/4ELHfPCF8+NTqFBYThSMjfRxG3wf7rjnY7CjQ1LsXE0e65bsCOa+5+zkw0966N2DE19fVEWRJ5uj1fKzI9PpMSc3ATNCNT0Y6gyc1TbPHoR4lHtW4Wzd6HeDJ3dYphFD5thq169xFxoiqYMD9gest+eq6zgpgWaQ4RclkK9O7bSUbWZAuj1+7aRk3wfmclpAhjgRORchrMAYEc2e3AkH68D82Vi8RllSOPCVktK/kXpcD7u4A9VDO2aZBiF/C2HdT4NK0ieYzRyJb8I1SyWd+82KD2jhfjoMRf1xPX6a+JtVKBuPph1zeqBWQOuMUDNVsFBjbwqdplywQNA8p9gE/TiwIGJKtQUhZuC/Ks0LzfsZBsZFZQNx4xE7++1X4GlD3Y1Nwp+uoICT+1dWTMHx2ULeMynlWuVdfnlBLxSIVKNvRmyVEDvFUSUV2XfLaHEkHxoERTrIHRpjAZjlQ3iY64QyMltZ41YvRw5CJ0AqBBN3ah+I5LhsHcrvuhIk+havzfttIufBalLgdlw/bY4e12PDSTk1uGq3Aoo2G4UcrALbNFtpiZaEwfPW6yhGlmIwglp2UN59YEvekXuhUixqWXC25NaaE8xWS3x/HQIiKw5q5oI/AVvv+5GIflFuzLe09QUprN+ilPV2UcpFge2835nchq7XtxOtwUF5D+CMG1hdRCRRHeXTBnNM6GaiI76LwQE1RqD2nX6S1bg/3ToIFoElcvUoq6QmDt3xmgSAd5HP+JmUYX0j0VZxlRJ5cT5DSWb8hlaH4NRAP7bERAYDSBlCxrAD7ZarrNpMkwJw06LGKiKZxTccpB76CXIyYi75XkxPidKyFwuzPir02ZH4RXBQ9BpuZ/iAi825RGFEwcxKfYCduO60eYlmimxK63uCz2FMfNSj88040q9jK35gugSUExeVvuM8za9uJPqPsGnnDUrNwAZiMm5BxP97KA1pYzLjXXZYJ9lLc6fccta98V+9tsPUYseCTtAh2UIzPfDhYdhhpe42tSFXAR4MutUgZ03eCLaG4y54p6hPLUePQ1/R/iSC8Y0/5uZ/VeidGyqZwC3ijXjK/HFFE9csj4ajk6LCeVdCmNKSgjfSMooO26VzAesPaNdZFNUMFn53CZ9phhRZt+tZY3nyfdTb5PlSKTbVgEY4lOcJTxhYyDCYnO86oc+/Ltdho02V8ItIo0kPFge4ABGRwPXlJMNZVaxXJcJFC7+CXStHUg6lLbbptTZzawDwJ3bcNJZA4nGLY1OBdjCclwQx1/Q9s/WgW5oj4FkYyVpiwknU8CZxl/1U5Posa009OZN5JlQMXR+y/iI7p+2POtckDB72nS3jGwy4drHI023EX9I/Sr8gSLcTAgHue3hk3AXBWq7BidyHeYxlGK/92HPjN6SSc6re5SGhk6mSg3+NvKhmefd05fO4A1xi53ABQqFfNx1H2eUc43A9gv7Pv/vkfbuYAUBirWTa1Q0plcdur0x8z2Isct+L6epIvsuUpt3FjjTHHO5aY/9P8pbfF5a2hsDcwsGoyrucTCw44wKnl6vjzflfRtiFAIpszCO0M3uK6TCSwMsl3oESD0VaymyZG+YCk9HhRknY/GTbhpabjUicayZ5ox+XOd9KAAdZWde4m4tYE+/rt0k+PCE4MH9nTdnKaLvNohWfCLl3xIAfAzKo9hk8ZApbbbgC9WLo99mZuEkPJTtSjF15ydOr3A04pHHw7Xd8HVDeFMqyLbnPgfMQxN72xhVtMPZPbLNiE7wURlfwWkri+zHh/rBQNgLUeAFMndmrfUC2xCtlrGRDk7800fKirQOaXC/CV/enUFF1tW73MoWTD/A06wHa/4/1KA4c8JcuGjmtaYEZU5vC40FDbvOvGxrwC771G9lWvjfJIMQP0L2ULqHD1ssZEfGAhHPR34sYUC4kcnit0eZjXk9hS5MyvkrysaH67O23lySSJOc7DrU4nhStFG0WeVqDqHsAPsfK2oHuEmh6KZz7ka/fCeG3asPRzmFUVzSUtIYP01cBnfM1/o1+LWcvfJH/glbOiTfN3w+xfnT2+/rK3/WErCR5aTa2zlUM7liJmDr/3mWqRWS/9Fi3Jg0Rqc4OyMwot4sigIwx50UHz7zY1ykV7YS2ken3dlC6g8ufvamRV4ttSTNCVh0t+2DnBmzrDXJU90hPFdsHAO6t7pKus5OEl9b0fbEM2RIjJuo7ZfNTTaJ1rguYZdOahGUkRxNg1GmyCqKjKOHuzZiclYPYOqxM2AtiBlWioOsbhgyICEgck17uog8O3SQex8Mnx6eloRunei2O4Cd4OFAstYi9agvwb2uEm+EY+kwi9dqIhCvIz/rLz1dh18Ab41sJMG260yVBE75vEc6fOLyrfvxTKPLR+Coq/KAfUjFFeQatTHKXKZqx8rdolCl7ZbcZOdmibSBIV6QCIWoEFVslwYu3plJ0LYjp+c/wmfcYC/+XOlpk1ggnf91io0AAJNw7CVpcKXWrma8d7yHzs1TXYJwpIWRXfXzuhdb91Hdnr1RzKz6Ox3Gu9Ah8yJpsB3SPeSIU+p3d4eMVHgvpfgQhDtfHLfXbm2aZpHkb4Hp48F0nHBtG09+0pEpoSVegBbb2eATQHVIp2fO3UFPvkIm+1P7uEHg1OuWc9E9GVu1Sp9IY/rv+bfoe1VtslBdrddT3RfvYhdf/fxpNOGRXCrnAatEqekAKqRtN0GaixBvkSx+sv+kwuAZQAq8WiwI9aCzLLS/ybUGUDkC/cAwTsOZMGzEdrmkImvlv7Z+mP4Whfpmy9d6YHkjTYxoMaBIkSVkL2QTYQ416ItkThzln/I7U6z/oKSzFRkeF2He0p7GtpQcnCcyo3NcnAiaGuJfpA+VU1ULIu4WjW7cZ0fz3cX8BbfxzFmQBzGFn5p93qd6XDMq6kn/5b0ZxJ/RIuOfyH3MQ50GcBEKHOPnfWggBL4wLVnCTXhJnB7qTXCfSX2zS6aDig0XtTZbwhZeXp1ekztXKPTuDnYhElAdAB5dTVnSlbYOl5RVWwZ1ZN+52cXR/LAQC6uJBwAaCE+YWBsiQD1l9na0gTl/3VhAa3AUBrKbxH/Xa3hmTrW0WF5JO0wYWHxvAwCKFzu6GI1gedHr+TLlQ9Od4DjWes/HdjFp/4LqHlKCNIdwYEvkai7VaSQ83VPSg21EGfzQaUO35wKr6t8nrtL9Z3j7O/tpW63Diy2PIkUClYrrnRd1fQBP3Qf5PgVNBrWXfbr35vKz0oUJf6ZRTtDrl1Hpnp3pVmD8C+VD5WI15v3Ab3OWprfNbkiQjAnzM2+SfZqPxcaXigT3oyynQmzmx8PqnVdfQrdau7p7680NMZ1w39kfbUo+2yt40NaL+vHS7mOuDH9olQbW52tXHH4oQPBPw/J0y2nYN9gibJs+xmk+T2IpFkIEdpRnJZqwGgFCyEBTH9qBKfVkuzf3RApAr9fMqHHur+Hd+Eje7VMw00FJ/J4xTj2pD8qWBzD5UOcnKMwzbckZy9vfZZzTszhdHzI5eNXFSbf6q4sRs6pzlo/jS/wbtbUwHkQuhGq9utxm/PCV9VRP3SOeyH7i4s7yeC2yssGB6sfdKEoe8YDdECZGFGfqMQiw/VP7xHI0Nf/xqtvNxmNN4Ta/wAWBydpZIlfwim1t/vwlpqP6mMAgWCpF3jMvVtV/FbUkU2dT/CJ8QFl36urRBQPgrKxrdoCsYHChd/Kwl3fqzEONK9pAE3PoCCmmZDHvnoh9DVsPs2klqDuo/qmsLi9tw+uU6LgY0sBUow2Ub0fKSI/m4fsnq2dXUf0OFfEP4VHn1KOnzEEp2BdictrTdnuOTB5oxJoCYSIcgHgfPPkVz+jGJujCrl1b4BhU+G4EWhBzRSSBaKmNSpjN4e4OtKqQz5OB7a7hO6se8Yi0HDAHpAgHFt+8aHERtnZ8qaHg+w7hLD/i1b6g01r5qi1AoMcFLJCPdbJh9sTpjS9HBjNjtpt8QEJoq12W864IBFoFDZkbXQowA1ujbU22Vl74tkNGe7Sp2kEt3geNw2Yjo7u66yjqBjVA1cyRFA5elRVTliTlYYU6B2DLoF0vp9nBtFo+aC5gfFBzzgBt/qwcwRxgGXm0iwJhHDIkC+9SljHxdmLKT8aN/NoU3BDMLHxZIQD+wxGGyEHBWSDUP9oFzvFVKbYQJz4ayhDp3FCKq9uerKIgebIvMk6W0kmc2kt8pqshhwdXmMoiU086DclBbgmNtLn9kfrXB6znZtAn7LgH1RwqAU+SX9WHTULfJ8zX3fwa7r8WyBAOIhvlD4qnLedSfT7fb3/Y9OvHHr64yGt/Du/qC4ACq2ymKFiCMLyMSZ5z9Zhhf6Ehmg0HYb9vD1qYDbTQ3V1aDd4HOpdZOeq7tPOMu8U+bsBMGKm7DJjtQqz5EhHZscF4JpwUFH8BHfoD/Jy4zcqc+d51kjmcLOApQf+os6jtgu+BDYG4HnD2cfVWwopAL+3JblYuCCl9VohtGgvxE9BGJ5k24oiJlew3CkPVarbHoln6nZ8A+ONIKjl2M3fPRfKNPkhduSJf2lL3n6PiTTSCZ/ViE0rQOtTCVvTrnvDaiWz2bv7To5DQHX0ebfgPtgBU3XDw+liyZZvCFE+24US3pVcb4ObahEwkhGb9eDx7XsbaS/DNralRX+KoJ8xuh3DJHskQJ7RO7a93x8xlk1K3a1ZaWaeyO2w2pwshtKJkhzblzsx+fETgAHpdWMzLopK5nF05UxwuCHf3O3bJofSQFV3bHigOJdnNDfV9UlGWIq6UZDK9NuEEEnycbS9vGJZl06yxEY0YREqdbOZRGIuo9cGuPn3ROyCnoQV7tCGwXVWMCQ6JFX459rPm57rZ8kohB1WSd4HWOuwFrMgezXPt03L0fdyProhcUh0Cbv2hG86/hXYaCeOFlrhxqkef/b16RspZ/ZnxSMzuQRSjz3Xcmq5DmQshKtpaasriuWZxPTU/cHedGDBo6H7IZBGkatrtU8JYC0tkbumRT/RH+o9f87HHj6cvaNG5EiRJ2tYkYEiVubJgTy0waC8YBQi0KMKLnEFnjsY01lpa1UDX2BksB0jb36B+nAsfeRb0U9EXAY5g8WkSBxMqmrF+VApIz8JIoibmdxDgSU2ulsf7ILzVUTQJ8gWo024s2dl7J1NjvHo0l/5cLW1ZxoEB+LcPwmGsoC6mdbJByIsuOZtEXRlH/qUMzheVFY7HuHG3Cjv3OHRyZmePs6RUl9hsH6wAS4K3OMihUBqMPGWKRjBjRaabHJm/kIWXBDiqWzjgLN0pAKCQaxWOUiaO/dCXbkuTYDdYJV9l0qJq9lHeU69sXxf70zraup6lfX2aHFNWenGIgicRUaxtyfNcVGmG4SGq20ezkYdRF50vUWmodXJzIHBn/9DrVTSs1elTmnsinOj7oi4k7qwNHjqG5QgUILUkvovftJGA/R1BMO1eXw81rfx3rKZdCisa7nipVgms5b4g4K6EqcNAdU9mytZZq3vO4Um5ucALMtN6pPyGJx8+o9QLRZnp+zTZDBiv3hxdJU6y6dhoFZt6HmWQnWh4YjmIeazMXegOn8tRumjc3Sg8YkitkiD4U90NtL3PiwIG/2RHIE2CHkDcdZk4vjL0O4F7m7vNqgRKDrmlf9jyate/bXgK4VKK/g/Ok9o+S3VUWLKSyNfqnqO5AA8YbnIE7z7S49wiD1E1s3L4EB4fNGW3DMk8Lda7p3y0v13Kk7IhdOhmgDOl04e440XSIsW2YnynwYxn1NBq6BTcQDdaPJ7l9JymS8hXO74hFUoNw5vppd1GRYZ9UyIYdCA/g36kiDgm7ufy0aEETCbmEWfmRhmWNyd1XRFfugpwFzFgq0PZro7GDDMk6DYFPjzXgdBmsmMc2AF93C0w6eIU0Msg6RDmCnYtcwGISQqgo81v7+/TZ8ioy9eL0bnf+TMVHrQfwW1XHSxKmNTpQ/VaB3qnw/voY5zbhHWNq4csLClKbyOXzHPN1xGqC6BqtDQt1nSJZPyIeSQraoJC6iZMxQwZWrD8DAckkFsMCGwAEBVN6t/iM3ozpSzLhVpPelNJ9GBIVQtJvdIW7qgKZ6uQXI5Qe65283PeLMqXfEP0OzSxAVKLIVnsz4UsUCzCxkINInhH8qlsR4eHcwAzyNKRxU/Te/3/k/eX4rd9YyF4Th/yAS13PUANj8dAsDUxXIm5vG4Kp2l44LkfOb85Wk8bobr8xHQAH29EJUyvw7R1FtuCICkWRorNS3chiiWCZIUcdd25MJTnNeP3WTKa0WICEIrEhFQdkwgb2aAwlJFMp0cpmYqZQnvr9kHp4Ek4llulppBTA9GjaCJpumP37kf//88vgBNkcwPotTa69Grmg5p7sgwsNGg/SbnNpXbWbJIzRpPIxw0Ma10l+T3aJiMftsvnS70r+hcmGghrsIdpR0UopZAjyyHHNmIrweHiCDUoX7kYLyvfpjdgcMuir49mWVwSSSrqgL73rtToxqFLSN0Ths+ALRefukzW550wqFSRPO+SEBlLjcp565DVu0y1k/YXQk/hxrUIIGfPS1TULa7Wj8QVk9ATYGE2FIMwhpOLf/TYJiNIX2hqz830FDE3ht835xcmlusB+U0ue5na4gyQEVklvh1Xrz0QxDolgjHJDkbXIWv10VmRPbfRxFv6PMbGG1EYcP/+Mdxt6X1qoJF6d9vb2cYxifm8vQ8ORGb1Hp8XgZ8iQrwd1oOLoAIWZkb87jdChs9YBuUSccfxl8soXzIR8bQFh6hmtR14NRBDLykM44qejOTCaHm3F34chDHUMbvBcpXx+1JUaan3HHZUrpgmSAKTJ64d2SNvY1tDuOs2La6PFb2Z9rdDSurd9K8bC175Ba4Oor/eLXcF/dWrxsNFqV0etyf2GHpQ7ksjkGvbDzGHXp7TxwPf9It9j2xwCkxQDXcmXKbE81I2OtUgcqe1Eh3QDGNhZN9CHWI6QRL1a0niSNbLzVHiNrEq6VVUNg23uUNUA+azofWNKDGYyBifQY0n1hHBh0NNYCjEZNC5FRLtPecM83Ia1+3bzCo88B/ijCOxMa34eNjEgVlut0g4Q+dWt9lRT142B4NKGTL0AxCKqjy3MMGfIYM+tLWTBqJ3cdcY5dQmneOUZwcTA2i4X3a2AvNO39lHHK1/k9dYxd1T9fqkDOJjkFNrmojnHS6fW+PZsgT6FkaIBm1NyfgwSM3BUviBjwE92RZezTS/ZnYiAo15cG1F72NYUHZa+g6xFg7vZ8beuFkbBm5D7BvhTXtbUJxfrN+bV4yfYn4XEJ2uQQDEyMuRSbEUIXFsWK29oYlKiHP8CesCNSozSLwoFt1eGRwcoZzNG0LnTzzmdG1eIwP9/Ubn8GPQSMBSN2gqCSO7C0SwIqcslRxEHC4TUW68OwyZJbGux6GQw0TBb8ncn9YFMs9yzaXGVjH1dvp/WP+/otOGxECQnJg5DwVWBNztYlVxOXKyS8+RHto6JEnNTuUaZ5y+tDLCtvowdNMsrN8LYTCZah3ia70admiT3aZoO5IPcu9Ogybp1IWOc7MvGAPUIeQ1Xt9NmnogAMibbANXtSEYvuzKRE92YAnxnRQ/JU1TfrTloFj5yFJxw5fwOH4NV5rfMva85GKgZ+CGJcQUoZo9Oq2JojvI+H8cmI/88CdaNETRdX3clBu2WOeHaL2NSQUKUFa42eigPY86nr2riYFNEcBAhpVMUMHKDRWRLTiiOdt7A8dEaUjfYOBSkOPLKgTmbYnWplsHJ7sXlJevDwcsiz7sBKmZ42Se9TrgHOj76AJEQXMMYpFyviJOH0AP9zU8QoZsBRvbmAx3GRC7U+my886qB2A7JnbLszm94GLAyB9wyW7fUnBQwZJEsmg0erAfLq4PFsWSGm1oHK5t5DzhkZ0163DSPBccX77Zc6KwuVfBo9gtM7pOohF9FO3hT4aV05nFtkz+EodTySUVgz2LIPqZEt4ZDmxEJ2+UurtZHR53rRlZ+DrkHJlu5k+f6Ynb4ystQq4DDGGBigvUPWTh5Wg5W+GM+cxwIbjwM6rgMHbc/Te7qttSp/SIt7rkPB/zHbRKF3x4Qo9hic8/dNZyPj9eXa07RwDRb/ll8WVcYe1AdM71pjTSulQkTMwJFz8I3rh/YiBZiF5R6oq4XAi0mXMV59DILufnxLrFkOVr7hkBVg3dl8jiE+PSOMf/4eip//Zutq6XKs0RSCi0y6XOH+4Ko66NIvpnKTmj+m0GclLvIe/CqFkQ4fNHYhKQf8bxkxH6fvwnBlduvXaK+pUFnNHZwe25hZz2hioR+httwQygWxzalBnAOHTlPnzqapQYW+nLTM+rRUsn7KCDO0vZMNtYUJi0eJWAERcIKLE1U96NBF6uszQsSpqyd1aAF0osEf1TW1t/O45yOjjxPpbuaCsYrye/wJswtWMiFJR05TH5Qd8HrnLBW55oE94UzY/co20wUz259EdtFgEDplDKplG5ZhNISwG4M/PPIAVqMuUwpbVSg7sH8g8zxt7g7WAuAebYRJq69CKRM9MmavqiCF5CcQU/3T7XXvtEwQukiggfZCOSusYhVuzF4jH8CjA2i/bCfu0v6/cjkCZ4fnobAr0UHNHhX6RmybAq1cShvc3haf/fSB1TjTp4naRbGompdL4BmctPm19o2m8YKfjw+MdsBwBHboYkoCSRR3Bv1ZdmdcNo9XEIf9DGCXuJf+feyt/Zmhr4u0cpDCl9uaZ0jUpJDO8Vsr44cYZujKOTdKBQUTSENjjy5rARc52/4tDn448nnEZ8l42w/1EJtUZiguiKaiZSwjPgx0Ht7amSLeiopPr6qDOfRyV3PlkDGJHGGmCorRF8YlRr6cpiN3mgT1oVAmbtbAmI1M4ANj8VvvjQHeEv5TIh8LJDBYOFzRmix4psfJHasFKitM43Ui2G/oTtlgVhxQFO+HU3ECi1FZSQQqwYIXMGzTbc7OcMniFGV9A6ZfeFzIOd7Z6HjnF9DJkGyz+ogM/j7v9kabMm1C7J6Fzf+4XIpdYAovzJGLq99/qRdQzvSWX4yoAw/TzDROgq/oQfAg2Ii47LicxVlg+Z/JhTJOmJKE+d5uI6ySW7AwCZF5e+wDIfwiiAIoPjiy5ASkA6sBRmo2soFHOoXua5qNH23is50yivH7eWpalCfVhUj8q/aHNWkbPuoD0aX7Uc48TC3q7wmKthyHe+gU39dD6Wtn8mgOnpZ9HI371P6R7o4//uiWR9tf1JWrepVfsxmfBTcFZVpTTE2ehBYUItMaWLtR5yLM2J8hKxV8mOhfBDRsNFefm6ZdXaUeoyyOHGM07kg+RsjuAXM81STBFxL1G1lyJKE54KxJmpwLgEL4GpmyceVIXWs+iHrozqrd0neukWCgKC/dsrAw8csZy11QuIIinJEXf4fv7e0f/yowWnts0LeZTvTY6fluGfILPiFAjvKkfQycbbG7D9pm3eoKuzR2bAh7DMKER0NUAzIjlSFL3qzx35MGNtKGlFZ9LtkBTxSLBACumzlqyzAM3kBaTiyE+6x9nYohgyqNT+BVPQLVCvwvAWP5Y3Fv94byrApTbBfJyGBnGCmd2IrIBRFgphpurJxV/0d3AkEDWg5EiZXTG6wHsbz42HTTVAiI1euZDkLuGZXIf9RESnXkbV5H0AB/i83P33Gb41wiqbpQST7mOZ2nszjnaVR8NRlpuM9kusHmCAImqjIHkQk7sis+7ZdBmHcy4ln+E73rt2YY1SExn+6d0+zyDFn8maNLquCPStLKm3SAe1PQpeSMCQ/IgNxFup2qUl3jZ4giv8j5Peq4BOh3EssYOiwTkpa1VC5O4qDtI87+zyeEq13SWIDF/e17HjpgnW2NCh6xDsgC18m70NVfFGU89uJdnLZvo0R5lWGrqIpxcPtxul5N2eY9MFlCW6lRL9RTpjHithNih2vxfcTVhM+tmb6nN6+SuYlNltZlpB8sK8QZJgwKIxfasR/q24IlXHB+NJ/kPJ1zXpERCuCIENSn9geizUaAYU8zj1QRJAjD21ozLJMrCOILB8/ZGXVvMBqiBRFLUNfvjAvPN424wvIvYhGc6HixTPHVM9OopBCetua94UlvNOWzjU5K1lC2iX1s5Uf2y/q5aBE81U6caj8tRV2lOkx3ZFneG7OcqSCcKWOwnQ102jlEye9wzSyWRGUiksmYmcB16t29Q4Ir6CqvvnPXdrMCDlK0P1PVgmkT5SpwLSVjy2GdZUWol7Kj8m8ohWwlxh75RbW1CUj5FDmH16osfhw0tHrhvGOrMWzr3MCCXAzKoNbxSVg11uNBEuT5Rtd3MUDoOZ+MJiKkgSoRh3UHD7k4ZImFMZHHwzVvRba8NtGC+7JUQ07EsqbLlm736y2fC3M6QII1RqoJRGaB2vTYl5woXvTMi8SJ2LxZmaXOaUiwRzVmrani+dIXNXDxJ9NuAC2bmaez5HBc1KH+nzBycoDi6ln/e3OmlToFH5drR+fZnzZntKBFhtuJyGj4xrckcGk0o/D9oBWBKN/6YNuMLVs/GkWhkNYQ/+Fo7xb+iFVmw6H4mpW5FFkZPcFlxBGILCVVq5sxje04bDYaOzDxWpsJgsGSHouhC1EQoLUZ1yOt95h6OMzDwWTwdCbTGmW6IZfLtmHV7f5KVNbiRC6aUOO/aFhqpJC6ACsOEJ4yetGPfTccHlYHlmixWIVB5ePBWRqrirxJOixHh/qqFUvsvQ5grRs3XPypH7P5tkO9WidLvdWu+sccxG5IQAhLF18YVdv4YmlT0nbf5Z3XIudPbogusM5D9Rd6m6RSkMoERLLOwbOOteDmEpJDbKntVR0eEWSxyvuwUU/mFlpL85zQ4y3EhFceRpaPVZtbdB/lSMC6/s8ICZDny/mHqzhqQg60GieMnZg+dhJBE/uS9lgDDuflzDkeOtd6XfuFcK8IzDDCnC3BgwdtsYmPH6GkcY0JkvqjVl3U0fwTdgBlAAn2eW2hK0yp2kEIZ9NWoCayObE87gXvCJxFneVOjhfEaAUbcrSYFkptZZNWOeHxgK12C0XcOWJKI0TGLM2FlztB1ZUH5DDYXgE/Pjb/g3o6pb69RXTipNWjYz3VT9FkcNbzVbqqUyC99oWVw0UWabqueFJ/3BhS/NzzDKbqlrX3TM6FqxVzrsfpuImLk6/hN2FNq7JJb4w22TUuC/hpUXljNSJusWl/uO3YMA2jC2xdjOtemCmHyDBhP5Uajw6K/hePY0bF+WuTaRLpPfUWEh6leCB+jDqQZd+V4jnoRXlMsZAC+9Gm6MnoGhjjS5mlld4uVhN3OhTo1DPDcDB6Ppgeh6Ke82BGWNGZmMX45/wv/mLrtZBY0/3CJjcQRtbOkBACktGh36bU+JN3IIm9WcOBKnAidUbC9WtEi92TOsS52/m2+lYunhliQxOH4JE1JcIg/DJavMRaZw5RChFW0VXm2O1C8+fTA4j+nOKinS4nKHS7jq2UugbDoSeiREuAtIQRFRukG9k+xEwKM2ienqtmT6XK1Gsdix/4xniKfWf63m4YTjrSrzarUDLbz42L8FaFmPDCXi8RZviVU0vO69I3KT45nieep73/ygNggsg7cBR7Ig54Ov1ivXpgSalKBqxORhyLUbHl8RCgBudz+PBQj0ROS/V19983Aj3FkuBuYLz4ymmLStFDvTcez2Yu33pxJLa6xMUnOTzUVZqYWtn5cm2CnRQGis/52YHe26MH02ec1Pbaa02PKMYAieQMxj+FqMgMARVOO10MYMbtjHpGyBWM2Be5rUt1j6f6Td2+zDwwhL/h7Kmtvt/hVnhXwye2C6OaR6IGr9TGmJMujblbj8SXaH2pFVEjo/j1yvOrr60/8lxDCStKQbWN+5B/+hybikCq2w+GLRnNIt69oEylmW++bS0xviDwCAfmV2DGC1nfi8+KfN8Ei2QOp7OEVDoo5ebXe7KDvJIMWPH6NM7alHWoa9iDfK5L/cyibDTfFhhB7q8uymHDTBiXFIwMkM/CVM99CoV08UN2acwgzrbt6kkejHfC8GpjLBW/2b/kwZGxgcVPlRptalVJG6QRMJND9qhU0M95clfFBxOJnLNI3UmAxrqKzx+uWHF8NoFyuXPKkd+sVnl+g//X63uNseUQd65FYeZkhZCVU9dWEhsUxB5CvwdJuB9sB4TfkV6AXkEXgfEELirfa3V2pHZpcJW0z1JPPAT0Bek68uBXIt42K17ux9SSRxwtvrDH2Ft/uJiJb9kTFalpNg8jCu2exLEBj2dFI3w1EEE3MuwyDKCxD+oggZ9rcr+HHuHXZLqVi0H/IVRhLvz73pWP5UGBmTutpFb9fMoTQ4mpmXy94qr2Sc9UHiIXbvuVm74jdFQiTovKFPLQkvp3+wu0BbHKKcbJEh5WBW1vTAz4NUYWsfIYZk6dPAcI4KookWqquZOJwkBn5xpHNRHDYPR1qAY5dVqhQ2c3jbG8QR2cuLLzC4BrSVB8MvpaYUpAej2+VjFwz9dKR8EMNtSRpinxIJaHcZUEHPCzWPeT9VHmmlnAHqILJRrFIPg7lwWwAJpnt8FLubnwYNGm8AfWWqR5/a2i1wRd1epczjjhhtamm6JC0l0F2iAgtGjhfUgS37+5u+HZD3pHc5zRldq0zuvPj9KG/2JdnCwa18v/nWPjROiOou85QY3SwWZHtLmF0pRGPKL2jcbvomIpjOF8TSffFb7AKypfy4/6vIXLYQuLbAp8OCU/KxWAtdU5Xij1xcmG+C8vGf5DPKSBpxwsU66wky5nv0GbeYFhtcs18Q7Gx/iJe3HCYEwNN7ypOMyR2kuYfY+owbhkamiROE8OOenJC6ID4EJkNvHWANlomBOqNansMqwROWTtW2lziwjmDiKWKnxQEgQp4mDIT9gUFesZQIyNmC1MJjvLJbCM78K52EfflL6Jp3mHG8XaLIGD6YiJHQzYwjxQHq5XQMZ5ko3bhj72Z6W+ui5TayZw2GH1t/lJOkhlegi4j38oT8Ov/6jvreF2wiI1rI/SKedWwGLFlcJIQcT6oDUWUhInRLaT4xQ0Y3XtiBAcFES7BRZKcEb0wrBp5va4CRglAJFzHw+UQbC5QcCj+uL34OOs5TELhnVcgFCLe2xRYlsdasXJUsEQvaT/ZtVwwK/hcfWdJj5ULxFbG5P2tu2O+/v0N3tyPVKfqSX/tyd0Rn9tk8eLUGhzzzv+iZGJ3eNqMBSP8yPDH6WoMwFtxs8lXR0GV81ckabV1wbKxJi9LNgROP9FC3UAND6U5RF14jMPWgl7/dTSGuO5tqOpYMroVVdBcG1WRKUoOPFQ38dhTTKaAzs2uky7cH/kFu1ytifx+RmuFg4YLa7pK+/OZvYZU+eUEwcYCIPMgWqdKHBCo0NHJma3nRLwVQJ/dto7Dzj7UHxkdqQ++0nxWdKa2n70K3JnWuyiHCRj4VHcT+0eAE/oyRzjJykY7Enz+hoI47DNdz2rS6/rnnYYChTeg8lcpSoCcOlPZN/Btf3GmKBDymm+J5x6qQI7kXBGVh6AZcqxI/yeKdFMaINInvZCyyQIoh4IHYfrILHZ8UOfIfYifntmIYX1ZPV1DFOYDlhh5L3BV8Y0EB3cKHjE0cjzvgiefqxxaVZk1IRVh/fUPTXjrvyb/14amgjrHi65FmpwAdNxNBMUi83PmPi9h2h+nPWwyqApOaqoQGofRseXvl3Pes8QyrMZPLdclJAapvf6bFDLRjtX1a0s+JtNj8drguy8AN4QbPJ6ajIOXCdORLKXzMc//4GeRYCSI+QZrcyo5I8a/bZkwIOaPW3zaYIkhW4V4AK0hk9pEiOC9ehSwpEvY+EW6hvZeUw70UhPDOPNIgL6Umz1na7L+qoaf3A/i9sLb/6rnqvwSqhH9ncqCA1J7QqC+VGZRkfptwCL3AwvGGHkL4Yuh9zOZ6Q0PSLBOTlzZ80pNtxOFYJ4o0JhjrjHpW7vQ92HI4b7Po6jIn0pk4IgQNjcpFzNvdgy3pyzpZuURij7Qtgp9c767axAXRRJ4aW2sVPelvP+jKPXispDV3WsusbJx7IvnsfUikkZtykiqZ4XAqOp9Hpfp9FJxqgZVX865CTX2jPdhg2BN0PyuymrFUodwBP0dtOJ/ce9TwVh6K9ZtjyZ/Go86NDqOL7G/eXbZHFn3rhrX4JHWcgUkTxxov/iTaFW4NyrxojWwULMwwQNwTUZOYkwg+6PdjWcfj5dSqdA99WfMfhJ5Vx8KxEKoeaJeTws8uX+2yAhJ/tHs7NxvJRxOYvOPwJKlr/WCUMyJEIQ3RJrItJmxj4dI79K3lXocsR3GgzgYjAuFGd/b0yQyqQ68d0K7IKcjN6ss0yc1EWL/utPyZnE6/S8QdXdfnN1PjqdX8UoVrAcDv/CX5AhROzI29+mO1/v9EV63XJGMmB27lnTnwwxACnaps1eDx1Eecz/Fe77EU5grttUy56BrhdMfq9rw5vqBMOzqqF6M90/+UnMfcG24KaeMkc4k8Tls6+gmZZEDgN6sh77KX6qD0YK6aIBIbtq+OUnoGsJ6Z/rbyEp8a8+xPlvVRXKUm5fk1QyxISCwuIuvnxwMVHATSFdQthv1kFkxveBgEIlfPAxi0NQf5Zp80FFFNlLVa7lJjRd9ZqpiZJ8o7DkvOOmesvElWEKMpKhqftvcsoepr+ZU7zd9LFBHOiPuy8mZwxzRgUWO4K+udC8ClJE5Af7mXxhpZLwP5qhLd7B3j4DVsslrZh/p5U6VtRBbOUQJLoJXDWZkUjj7672g9TQt/rcQL44TOjPh9LUJ8WSIO2+o3z1a9ism9KbFvNWhcjxNJZtUQVztS2bTSycdJgi6q15eLldT03VADCx2uHYo5gswzDZSdE2mHAON9Dv9ht3GpCMJAPipSHpKI9+jAjLECW8KGLD8RJcS5Wfnmg/ErETTl6b6A0tSK1KiyF6dTe0ml7VlwCwKDSEalDVRHazk6PdnZgAXl5I8/AFcu0QZJKjAfk27tt3e4kjQwMAqZk2ydMbDEA9vScSeA/d9Oh+tYs3vWZ88BAiwlCphCu4h7GzEzZiA1c0OCDzlaAwU6NGcBx18bKCeZM+7H/DcvBzoOfMR5IEbiAH58JcV6QSxvDtZ5SnNYA1FNoGrBrnzT3gNTJ5B+4cdFSp58OyP5IyGPH2vl8TkGkKxj5bsWFOmBkL1lwrOYy6Mxu3KLY6YvYRg4JwM6qRaJAN9rluT9//7nZYmGXYl5mULDHcyHV03mAAE8dBpHnRFuCeWtHHTgsYz8k0zNCZwIo9VevhkcTMPE8prA+j63mH7lb1nMkhVT1kLGO18hJIPP2AVwmKclDL4y+cqlK0LqK8JTXhJiFnCy3JmPXjoo2XNkmujpEoqTqyYjJKhZYQDcUYtpBKaOWXa6LnhoxMDGeemGXKKRfjliRu/KVgVyuOErGiO2nuLdhAwPyjmn7uQDAW5WyGGk2WCOmueSeztFmPXPy0Lu+NR9K7X9xe+ENR2ZzH4YWLodxbzIy0P5cqhkJXH12WWuZHs4U9I0YsmTi5gUUnFctRw+QUtyR8glOw+JBxDapDpVGSfJspoZMFIOKFjLHKGWxRSBOB+muFzXGEMHmJ/QSujcyoPi6PrCSmfPgF5NahVxDJgdNvJxNupxfx/oWWIqc6f0+Ql2+GdpeWyn5AJN8YdfWPsg+WmneExjDBNwEj7j68ncASqQ6D31uTQljRMg2FXk1Txk/1iUCjh/nt2GDIrOZFgvdmTx0s9X6Wj4WmemROMY/JAvK7fRwS25TqSGlLOeUuJbbEYQvdKgGJSrWbFQgxkw1wyzv4Gf2cZ7qbPo13LV94yyWqa+ZtU5c58k9qJyZXCbGP1UXkXrBk/+EpDcubi2vTJdAhiJqlZwJsyiYOD6tSeY8z5vPHBAXL9IpWYgcLwjTyBVegs48hHgSdwhMIclcAL24j5OET4wjx5tcc+4wznZnkAB3Psjt8ROAt2YlhyvKfW/i33eBJ8qH1yc+qbO+Y+iawyhKjSdT7kXvtxfyk6Bl+cgoJ976VKYZUH2FA10k9/Q8eBJW7ERZqnnGTB5w4xwkMdzX7ANw0kAQf8pyyLdyFYdbBAQBVo4kb7He4rdIR9g8HpXcpUQWOv/WfYGzwmiJNRfv6bAOFantft2BmGRCh6+5DfTFEd5zhv+CFsBtky4ofLP3fkGiB5l3xlrtUvw/aEXumo3gujpmL5b03VeFVUKL7fk+lLNSpVtyLywnZgsOCoE7PC35E/U3S3urkrcd7iyFxOcCgJuJmwqjYhC23r55eHuwRE588o/AaOIkslQXF16Ws4EdRgHFVHyQC0Mfb+Cw6clZw/xAOuDtpe4LersbEKlLJKQLSj78ydYOivAxZnlavzbvyUJOxCUCbjYwqcOV+D6it9eT90HghdZ68UJ4oEpvJ2C93fqBgN2+OUaT8Pv5dGISRYG789HrZDBXA/ijVJ1kBacbW2mUYItWQmVB0sDiV4g8dugST8WW9ozKX2lp/PVFnb7bN8o2q7+lj7qQ7Na9tsVJ8wh18Clexqa5SyoH26N2kaOJTF5CYGtafr+U0gdJ7jyY0kGngyR2Hoznj6TYpwGL2Du+fQ5JitqKvwmS356PqHTq8TYqeFByRS5Ueast9s9jD4Djiz0vb33CeXvSvUUt3A747G2ap4A3wU/H0v/C10zp4pnSR7bJjcnG0SOUfSxRxpCME21DYyTvW8fg3xvKIf4vA+Ejc51/aGfedG3NgX09NvrF1POSq2ixe59uZ7Ufhh9VShhd2s3uK86+mItQ+lDOd+z0GwMbWNR871GDaoZTOLAYxQoN53cLyN2ztio+DLD7SevgStttGlXEpe0vZm3ngWHILkUZI/x7ejZvmPVeThEO6Wng4PmA6Y1nN8fUyCR9N2WfZjKPKDaGqePUSVwqbDvydUYjCi0Vw/AqKcnOcVvGVKJIzco4fulIfoTrR2hx2LZ7Iy5egMIvfzFe9Y7ka1mtDLCCTkw1jkjGiBPB5MGxqxnkgwkeJ6nig52wF7b4KjP9k9w6TWw0G8CbTt7EHecm+bh9DayQxQyqumatewVhAxzB/C65knUm5IMG0jTa6ESHaOF2InoVfGc7aVrhRjrMuF5Kiih+052xsVLIyvM/vWTgCifd79UJnRoj8LG+kI1/WuUCOU8784Xtzs88Qwz3bd+1a288NyzO2bt7AiuNO//tuP3jY3RX4QY/u5VGUpwwsy/vczrmj5VvFebanKBCUPLLzzlE39qV7Eh4+zXkI+42oUtdNt8S4P3Fdl4aXIqwv13Id+2//Sricxgu/Y+3LKsUBSmvs1C6hFaVRvt9SZmt08c5I6kzIcn+nmhW4q2io1t+/plIK+LW4ip07w/jBT/UI/6R8vpfvvQeiVDH0xL0EX/iCG1pKkLIo5bV2DNFkrU/YQQO5KBPaDXfG08Ta2/Bq+8yCVnIkXRC6U8rwZiT2nxdckYRbz7Sl+xnGEWWqOfcVkMobTSAgHy7oR4rtWDUhPGojaAQY1fLy3rwRnkZyvRedrh9Wj+LHL8V+tgob08K1MoMixageE2ntlN2h6QPLpkdFRciYBEYuE5PGvtGogd3Dz0PRi8VfgUZAlcMAA0F1t154Vuy3nn1WN6YBCnCoqvyDp5y0OQ2KvLngE4JyVhe3oBhj2LnLnryhbOGQD5qoTfT8l1oMgek1HdCIg2hKm3TCRvDyT9lZqVo4JuKcpAvdsDmZZXXWIoZkUMMUoP5VwkWhjOoXukF1jEsBn87QDVNqdEWIW6X8iyFSnmdWvpbse2k+WjElZKeYk8WwU6I7X5WIK8dZV0y6XoRAOwqmh56pEaeRNspzSdr9/ntPwckHFuisWf/0XxTQ37NEv54bwQmaeXZU2sgi61y+2CEokNB4REcbFgcDawvG7XbmepQqVMD9wGgD+kQI9PPtoU/E98WmYqLdnAD3hh3fnaGtRXFcHnQ361u9UJraVSwSribw5p4GqUxwL9td1vBsVgyP8CVuklAYdQ1148hauOqRoonwaMCNa5tUQ4d2UduxCJ78cxdHcCXwKzSa/L/hJCpCo5nQC7QK10fsO8sXwbKZ1H9DqydGc1o4CnQnmeSfB1do5RMK2bRm0yYo5PN16IZcFTSrCb83Cf1N3Cxm5PzX4uieBpEaJezVRo1nc868P6rrW8SJCsZKQzujg8uqFNj5gyKa3gHd6DD4I3KZCI/rOk64he7Hnb8HEY+tuLOWfNwMrXldATNsqZwNRcR4vWbj9SypyOi3MzmA7vSA06TRQWDNxgC1Bf6S0aD6KZesWs1BEgaZwyzspDaXA4uTR4nHWhbCseeaxwFQEgUeJ5CtR6Mhhy62s2IbzsVXfckuMYBH/uKv+QrGy9bNW4BlcVRxXFyMXau5oTu96a0fZhDyIjrzUlT5H28fafdfKBYWj5wLIr2hJn7KatcmzBAOzAf3/GivuxlDcEEFU9pYVdvUICFAWPGplpRgrj1zPWFEAnUnBvQrXHhlGHeEenAbO8rGYEnY6iqoYayUjI0FaVGNRcdAGSVilGU4TrqX6G2cf4sjcnYdZZLJ/mUk1ypzzgFr5w9IcXLDW40o0iN2pBcEf6Rypw1m+p23FfTlokfXRPtHdx7c1IYUiKyYQ+Q9dwL3BnHAPfW06xqd6aNJgtRhL7YnLspYbPgqQ2VzJXF66hlmLziITOdLConluxs98Fb4VJ1jQTnHDrGn8MV1lOeDDtlDrHWCv5Ur7vzHL01iznzvG7ciAU7+lmrfjmHT1lxRBSQXdRsom1TIs9sxKVWkQM4UPsL859YI7+t4TBUCXgfhrd1pXgUteJ8Rg8ABC0kYbaIkV67QN+W7l5DjHHaQA97VQXAx7CU2/dM2/3WOyZsHcmhdU9Yjw3GhgzbUakv9MwsHERrq83tfGOWEzcmQdyNJw8Xi/dEALT6zR7vGDxsX6yNkC5tBaFamzU10qk/joZwaSON2AljoUcwsIV0ZfoMb2bJhP9yp0IzzTZabjA1SAewrZjiv66pdemL10hwIWustW9VDrFtieIhL3XY265Ich9fkQlmBd8o3WdTtepvB5gKzvXMN3gGXrygvtAshGwaRHFs7rcrOLArNIFP0Wdttz5JfSt5Wgsbc1yLl6gw1fBzJXkJReBjKGZbgFT1Ntzh1eApaCCj1+JjakesVLyaqV2Aq4yLoH76bv60Rb1UD1ull2wOrVkK1me1a41sYQn/lVgEl+3+SebLr8Pr6qxMMBPt8O3ZZ2t/OQ6ZfZPVr7TFDW9/JkvQFUdnivAqi7M3W47dLtfxoMEeBoywsEeOVV63Q47/wiKpYHMf2NsCJ3lUfYTioH0yDeZ1K+DLNSMhCWZeAZhH0CZrNwqiepjDkSzck3kzQN5yAERfAX7uO8UKoj8cKU2nVUE5pB+pawPM7ZZqeZG9Pxi1v/YT6q8nSRujZ6yRQWvVvBfEuftBkNToRMAsZM0/qBHIv3Kafb2NFKyrC3f5SthCtvH1h7tmn+nSTei8IdECfoO/7dGmZ3P592xaZ8VJwJ63uBnD/DWjppJLW3WpN7Je4MkIDgTEVcEgWTtDJe0UKI63PCwEf0FZYZfXYFypezK5AtvBmOKX2nPiOGhbg1cUESTiDIZw0XZQE/iUPXOcMVmdrnNsfgle2IMxqmR8qHk2SiN0sJrygEYCm2erWpJm48sX0pHYVRd//e6iDdHma7R80qS0F40Ju2lOJswTs1d+hVbyMz5sDa6lzIMdbE6PavlYGmNloTEAVBEykGGmTJNji/nMSchwrQW+vYc4BvzDwxjX9aOeXNNU2r3eEtmfGH2CvhVjv89kUi3TJlcHQ88dUgaTu+XjosdzHBoVyFBx0PgcvbQFZUHWxWmsK01/9ECRD3qU4foBrUcoQxrIFclY4dWVqtBPvzSkzxZsbsbf82f+IhorqejsMHc6dO2Tcs7mVnmGHkc8nNZkngja/bGD7i/h1tTh42/WfoZbtrQ3D3uPLnZ1PzY764/JjPOVE7iG+GDu/obVi9mMK9dDjtJx5JwCYLTv/Cam74idOuQ2qmtVyhmK9Gi/bqKKNm/WJdNaj1Hkls5oAJ5KdHLUz4+BjKd30sGnzmOciuDP4xZssx//7KYerKkxuSHNHDaiRKwC3n98Zk3ZAQnQ0qWxgId8lo2Sez/iMBxHhQis3DZNNRTafyYs3sPO/xkS/W4zdipj8uMezVDHCWHxChdZnsHDWD5WQGq7SSFIBbXZH2GUIESuG4+NW+//9P9ivMYWkM7OpUNe+uyKJE47Zf/4LtZTO8vVwlJZjESDpKfMmqmKtgGHFPb5aC51d/MFgB3E0xbSFfY0JIAufMSjAsYT/eSVl5Ui/Vuge9FPmm8JJj7EfHC6xlILEqq/Yt3OC5jGDGvN08SNw1x5iY/pMDI1V3jc+NfG7ibrmoiEO47oaVDy/OA0ur9DRV+5k6Toi/cSx7Guhw8fnBa1Lz70n8ykHGodnfZ3+lxE8hI87vA7dS+GItrjHW3eU7DqajxSQOKh+Vl8ynDxaV55rA+ArdiHy7ioK8BZW2gFMUwEcKnjMO1obweUcx+rivMcQAmiXzzQIZj3SxsI3sRiiR9tKd7KxNTgoEVrdBYYWf9kx45TsGz/lHXPzBlyEiR9/GeQjl3ApsBsOcdhfXZbrjdXYQl76lCTTU3m+h2hyR6QHfB8tz1t37BNkw6fgPChM3ZBNmVPMOlxjHXX6om/fqgmcJBO0hI6YRUI/G+6oeLDN5elM7xu4qhfAX2LB8HOU+AVEqxGOkkLfgIPehmDQt/zNJpY4kmws6k25L1o/fxumBgQoaO/zhTMJpQtLB1pxq2FXqHwUlRrJurnWLDVnNNOudXTy86jm2FFAVwN7n13UMr5vA90JX+Z7dl867LANOdbsfq8cpCqoFfBsncW1Y1v90stGDxxOJQiL28RKoNl/hgASp8N9yJk1U8a0dIRXtF9iInWZw6F9EtfEdK8on34yqDpeoGWj1CEuO+ylAgDbctW5zIOdpmRUx025wi3l5UodRgqKF01Ul4MLwvcTE89Q6c+UqC2a5wGZqQNf+3m2q3pBqzkhydtcNllyAP3JBQ+Bv8TN0RAUvVA4qiZQ/ZsDNsV8CmLDdcAXk5osHJkdQ+RlaeU72AeuGtzmsS92qcheLyl4cYxJpSMTOrYJ0RAxi8L77fWPrdxDuG4jeZKkMWkJugyvATLzP6W8aSqm9XXNvbr/ssnV7loXB5yNzbKMhqVpgo4xvm5Pcwb8Mi9G9GMKWbsJW7LS1hvLQOFtcO0zyOqbiTp4+OLZhGHi77NKGMqGpXNFZKZMD6QBuVwj8hpksyzgcmQ8KB0QahdBradnKVTaL3TNaq/o+Cd9dw8plrd8jRpG49eHFNTSV4GlOoHshjeq6zk7fF7pdT8G8i31wC/j269wOmJa/Pe08DuBVBYmO1FITmDu+DBIwhUwPOjPF37n20pjmEVR64dKdcm/WVZqTvZUUqMwnlUs/YQW0vAZ1hcSbeqLXvV1Fg+WnO57gEYTaYDVVVV41MMUidX5oV3yE16u+5+9uCH4Db9hMIF9aF2k1HK9eqHV9/m8HvM1TIha/Ixj8yHXSjouT9BhODPXTMrMzBBgprNxgrGyX9f7ZAYByg/c++wxrJ3d1ueQ0CAp3zoip0ED4VFrkduw2x0EsyakCy6b2xO31ermgMrg9nQGsKGh5LMuv2s4avDJPMqotXF2THVyi8CkQZV+32EkoYrw2pHbMGbWBWxkFVpOhgFk0XS4OV9IsVGxDRq1W9ZOR08fjl4ou6JYPe6tGIWAp6giu5Sm30occotqzOZ6kEEBUuB43Cak4O/leBYRRZjmEMxfD1MkCeR7rObe8L+v0TiTQe32z8K9rmPbHyenr51misa68cN4dyRj9ayslzcF+PC7smYEFv4wVghOsimOmJoczFYfUrq8Ew8L/r4QHQlAusfi5YLeqM5HFASyWx24RnVgXqBWFjQxsivuc2saGKs8ce12dEgNRTCPQDJiC/wC5Xeit0yfE8wkbRoMqGxWwiGm6dV6kOH+9433nXl44TzmunFIXEFb/m07WudtoI0GKcxQLbeoHfIDs62X6JgW8FLaCxyWqh1OmmSBcfTOPLWaWo9YNYQtLVo0ib/2IbK2Iazk8DIEHs8dAYjHZ0fVQ26XDEuj7p2tO5aUBRXW8dqX5S3hzVLORmd626gn4h5pfHj4/2+TnDd6hJpO+e8URepCs0fR1JkMSfL+HT+JqcclYS2k7xTmsJbjnnbIzCZ2HF89kaKirgDspf9eqcviU+PNV7Sr4YaVnMoB6zA9P4pE3H9pvia9+sOj0Y3XbOhm+rc1abSIjdSZaNeE5vK/Ekyd9f2ocyRD2GlTCGKi1/wGfVlfHA3FHxlX+gTl/dySs1p2Smep5dEYb6zfIsicgSIJ7XWKOAgaLqGWgPGKRP5NsUUBu2TKZDP7EwguiZZUHHmBoVmLGcy6/iyFqfCyVbwZZ/vgDj859cX72hsUD2rONKI91UJWiGJY3IUB51QjTS+dv85RXNU0p54kl9Emk+7V4Itfpog/esLsgkO6mrs9OqhmDaH4XgJ/j6cdjnsuOHtkAn08CETxnvXDWuEf78Yh4qrx2OG2ZqFCxiu1/z6DwCiw5GfmWEraM1hCVt2/wGyx+GXATU5aWtLk93BJXOQVTr914bnLEDTPDfDFYmrfICkr5N8ZOHiLqe9TWO7X18P3j7adkGzMZNwYaW3ECMTb/VD+BfrVzNiOw/vgY4FfLfuOQAGJ7REzJzaeM3MftexYKm4DU1qQvw3tZGm5hv8Vdnmp646NHUfspFEWAzr6N0ps7ApFVN1hMbPKm5aU2FrxQ2PCsA+M/blOU67ETe6xbpxU4bjQAmK3RD1QK73OxiJpoloQ9U3XP2hJ+HhZ1KyliVQEexXdvzCJQtpVGROBfJQY1szjElf9J3Q1KfzH++bOjG1vjyQddMNd3/LKwZdgzcXgC0nqsnFVl1g1rFTqgx1b6vGQQL2hClV7FulbSjLwnmIazpwmaPca8YkDPLK6zLbr6GjAvlayZWv9xm4/sqLuMv7UTR2o09q7b309r0BNeGVKlm3YN0Z+1S3/G0qC2aC0EtYEtAHsih+KDKj/5i8AdvIinhBcT5jWra/qwlgSyDRYy8xvgmE9ZI0TiN8vtcMlUQKmXr1JIe36LMLOB3U6JC2ZQO9TJUKf9+adgRNlzgn3rIuAsjeU70ITbdJ0FDoosqKdCVDYSegX0hw/EsN0aiK3xLCrxcBL7hMoRbmajNHJyqSRhnc/bvMq/q2Wn1NyNxTeeQ6tMw6F7+FpFbx2n/PigK5TSOzfFHPW5LXZg3E3Bbllc5utbffCBm1Oe6XIj+fsaYrNpMoOz/8PsLKx7iLV0W2Cp9U2FfG282st+MPl2pE4f4sPGzh0Y2x18JOrQrKmmpD5/coOMsYkBngUQgRs1c+SoELZruiXAXRqQk8EOcW1+sevebbuCGzdqzxpNT4JClciXFSOSjAxKtVdK6ICjyzH9YcF9157RcPln/Y2tjpNDEdmeSg0CotBrtHrukL3pFeR5fmczMX7jbkF4XxBe626CQ5Mai/VGJ1ZVkO0sl3wdigv5LXF3IUCkXwN4v1rcByxEGQW3OlrXADuONASM/0o6nhTV/O17OuM3BDF8UsKKo/7/hvw+cYGUZPVZ2rbm7fiM3xbQP1GfUGOZj0dCajhSxSlft9l/lQj565OMJgfBvv50pYWobfkGWQtM0nzBFGGuUO+2pk2y34Zmz+x0PNxNIIzE3OtEH2AokHc/tHX8j9Qol/dUB7v0RBeEeew9+tRMBqmQHIbOgGNMca2cu9Sb7TWsMyqZA6WjF6PV+iETS3E6fja6sO4DpQC6MBWB9kCi+iW4syE5pZVvEh5JEKIaSHbTbkuDU4pUrRc6cFAvSq0EEfjpf3U1WCQVvCcSAysfZY/PThrB/st+HkX5V+ZEC/fVqNEu20Z50k0BPkJaACL/rv3szZ541A2xJKNZIgPauXpNnwE7L4IbKcQ8fztaWyiSy//mIVHP51szQR/apIl0eW3Arc7Kmca2iL4YTH/otKFDsPCgRkfqRojlhLJuiqkz6YZnlb8DL728+DsMfFrW7xykYGi1OEDxkQQirNkL0PMh+ZA+Q6Ux1l4mPw28oVCxBO8620z7qRBqkv4PBxGOIT1s3LdQ2F8Bwq9O84WmybP22+KacAWHzMTTcJTcGnVt6S3tqKqRbKcYybBWCTX71H3Yv96C2b79JsQZbb+JOqFZDzz6XPzGTjJSm9b+zoGxnjMn2OpXAeflTE6ZLNsJLvx/4lq0C48IgnYMmfLzIO9mGQYkzastqxFS7khqwIt9DxXdIJZDvM1vebXXRVz/Ewlq0/Yk6STOMFV0u8XXJWKtcO5b1Dl9Dd8d71YeudfAEc6tiIxtp1OWXAoKmNfe5Eyz65J0sODFJfIDzKrHZa5EZ8JEv5ArYaC0EYy9BB8t07mQhEDxf//PkOTJWK4OZJBxiWskj+3putziK51E/gMhd42pPIb7UDhUTRICjbG8jBdRAkawCKmDz0jPMJ0QJFmaKTNvFe1ZlL97bjS8/+WswRnUlEnKq1jY6dfhLsvc0Fa2MPmFhK/wz/xeB5LBE05n2eu8THyWc0SW9elhP4VdF+1iq4wi+eenQIOaPIrWvijSQNGIZeZVSMKsL1YA91fQ/BV85laJ5+snwkj5gENXAW7kbjT25m6kfzp7o1yEpE0iZ9mHKRja0Dg0QQVOmvSUGPvSVf5zNyb08bIE34uwlRxMUy2Cx+ofldOiU04vyQeJayos1UxdKU2Xa1rWG0eMdtJvZSUgs3mjqdzPBzidT++xjO2p7P8NCmnMWVjtXIYiNjSxohDw2EdYFfwJfHRCwUxkwNkWktNeU00l9VY51sGzDeaTAGm9GJaun8IushGBTRpnHPsEeCS7PA2+t252DndigpyBoB9GgiU90c/+Cs9/aB/N8eUMpjuNCScRhao7Qj4L8R4NajHU4t5P1WKVgQ8w/doAEUA8z0gWucCyRVw7qkNSQIHCpX954NvrdXnXHMF0W2tgnYli8cNEL1FJgLkRdZ5UYdmDeQ3ry6F9sjKNvPULvkXY99t+g9B9Wc9nqhFhD23asJh7h8W+3m0/ZSVz+WjH0URBdjx4iPamlmqRoWlV12XLP+0U1JNZoCt/yH7qzYPqUtYJTa4F8UAHpvtOJuKf+aw50xlANekJxIYOyPagxTzFZC5bDsMAI18sJHsIrdKBfxUIfU+qXETAGAlYIMt/ZHlilvt2nS0UwuKb8QNPh0UHfJN3WKjGToU0Tj3mMiFhe+RrOLDYd9bKLScBdG68v7zW6tfYOUE0oaPZG1gn4DgT36C+4fVPulZLr5P1QOZpT//AB6pqwJP/Px9cQ4wvFThG7e98KVKwBeaer5prwQ3KaIl71S1VOwWP+3HK2dJ0ncrFAJmrou5LaGP9l5dBhPFBb8vaI1PZgAav+5c02MR5m0vRy5om0GQd6V5n4p3lpIl6Ipeosgo7rrM2VJDtJeglNyqaJLMsxLqMiJT1F+vNiTB0SWz4jVByzWIEhW+KRqOF3dpJgJmeTtqN8BCUbhFvdx+OK8p4qk0EIMPVKDrlrHZ0tpiQdt0cpefV+pmxs0z61cqDG05TkxSN6La+juH2us8PTU/aXTQjbDJJSXV8iHr7pMjtkh1bxcmkN5vVekoOetRhkbIY8L3fy1bD5tQT4izHUBjqspObjR6uobojCPocjDiNIWBK/9Pa/vpgFJ5W6oODO5Ft2hlCFMS7mK5lFnP5lgyzQtn0908J8fCZ//5e6I8BbZUMfwhP6WPlZke4sL3MR4MnF0MScnupMogqSGKEoRHvZOj7kR9xJGhly8BspYXoMgSvRPPbMYw7BRJODq01MYJxQMizrz1mZ0Rd+M+Z+natjoL4IbKKefV1+dg85WoIEZ0trzxOfWpdlcUCTs6wNTG/75LtBuchIMBH1nNzT+rsnqOTgTZgtho56bicbfAqcPGIsHaLfIg11EG2/DWYleStdY+1UWAJ7RFnlmcskJlMirCwObF97A/fQzvfb+Xa16uptUDEcwil3tIyz83HQmrb6Wvfl7ezt/3qETctOdSFwCQZAH4RtbujVcWM1eQCKPShzp4HEpHeDBEezZYZJLpMXZvJhsDJ/0cfyDnUzp7GNwCe6Q+H2sMYDCdOZsLm/WJKoGKqG7jcOohvXy5GV3qNZAJFriAY+J9jG4orklcolf7UGxgpLKdtdaW+BbgplXD15sw5ov6PCAFpWZP9nKldzfZ7/lcn6VP7Wdl2+eRXWoHvDbfZNl5zUhPWMCGEwv66qypEUvkxO/dUDevUUk4FK6G3mCyiD9p3yXlv4ZRA5sWI0RqZpgHDRSGJ+mrAJUsIx1zVVGNedr75wdlebkCxBV4X5dAUntzwSOQBB4pCxXntAsIibNA9UzvpjVYVr5Ktk0lFeLXmnJfYrD4MJG0tEBOTsQxGSgzSB0Dbw++MgY+4cpBJnRPFh+cVSO1C+DZ5dxpG5u+i1QMVBrA7nbmuA4PVmEDlTfxipCoWl4DVQf3ePpH9wtuutW5jQ4XNmzFi4GSkEFkXjDY4rNfNPcP1DcSe0i1T4EOBt5BSf7W4WdzARWOo6mH6GE+rQF+//XORwX4+U+s7jMH1w/DYCuQlpDYTtJZrlPuWRhW/LFOKxtNssDWNBW3L0llz7hh8htV3cI6k6n82CpOICVM2UBNpj2YgqiTwHQauHtxFFZG04sZrBbgZnWwNs/EXt3tqOtEiTkQ0kwU75E06+bXPtVlTUeB89So6In420KaKrVslAHuWRn0couC7SNaA/thapXx0pkwjCaFckZTd6a9P+afv7FEEWcumN8+TbGaYJA/NOZQ3ubp1Wptl3g2BA3aG0uP/lQMq5KOA0CXxPD6XoflKMiZZ3gw/dzrpmyg5Kf82BL97x+W0Ybcdb+nwmx0NX3+XVYpPDw/nkJfm17glX2ZU8celiWMQLeLaQ7wbecjtub/MbdtszmAFOnjwN5/5EOjaIpOdz4lAueh0Dtbip9fomfvvWcLObyJvOV4oLR287JSQS2a71HSzriZb2elNOA4YQ8kMsJ54+GSAHuuFAJicaqqBDWjiMNc/J6YX7jWZLQqw02jxRhHxHydQmyTB6gW4xN8Qtzx8FQRc7NvidyHTUZkDM5KSLdr6kK5Jy9C8dy5tKKFo5VXEAkMH9ACCP77t3tYtCoGwHYrv4FCVqVzcYV6kW8RaWPf+zpqZHeyqa60C8he09oahR+6JCXq/AppYaUa25pCJ+B+knPlJnNPc54KHe7XPPKfVu4fCHKOBMZ5vOf11jMX89fE2JwCqcLbVspf0srT+U56kUfUBkRH7BpV7wyD04cue/6rpKCStY2wOB6ZvXD2KtnkAh35S0Tb/iu8BRHb7GmunS1M8gDAG7FunH2Nqs05W06APQdPCZQJ95WyAiF+ef/CnIfyPM3Qms+kF1g8PzeZUvvuS8QHNUig+NaUZRAR7c4UnmaGT+0fM3RvHb8n6omxGhvxt0eObv7HEqZN+Nn7s3z+vh3mAOJsGWstRA7Xuek/hgI3istGJFPL+n40fi4vWDBS8sLxyV/bpFrbOAM/DRBB6RJmSiTvIeaHp2ol8P5AzUOqJNCW97NBJWcVrZgy8SZYRalP1LRydZ3NlIoNGYEJ18fgS1mk8FEiA8z+D6eWc7RgZv5HS38FvkrG3uFggpbDuDlVJeNBw5hoTC7hEH1xngCR4G25+o8AeBnFHVxo2p3tlu1L8aHQCM9YZ8TTrvQhbLWE9ACdQBd3zFg736lKLjWYKQo9sofeka9opugqYjnzzM5fBc431xzsXtrWhyyfI2aElMRRS2D3b6T+rmzmxSNe3yDkj4UlNyf+MMvno9v6vpAqSaDPcKp0lCxTeuayr4/0SiW3bqN14b4VwuKbjORfngMoULhi6qt/ZpNAz0SJqhyS0X8HzZPK3TBbE2nBie7cqqCYI0Ytg0h/XmWuLVzX3szdvv7fjUF/Xz+w9d8+1N5c02ku1dEf27ux7/GkqrvHM3Y+3twnYChBb4lXiaDsJJwvGZ7INFr8pT9TBWqyssf+JEzKDs7GxWW0Aci36gU/c+KM09WA0183GA/UfNyv0ElrWZy0W4zpTcs0wbuAMmfVrKKtYH4taYnqurTtGgPL4+07DCFCzXdLO/YlPpASLyxXf2diFgxW7vD+GVZzvOY4uJzmm9WM9bCcTcGBMOPpb6vqbToNFKVlt3t/XNbqazKsT+Ej7W/mKPxPfvzCE5NqsvskuzyDtY9F+vjL6sNWnlZ7780ZuLsEI0shWvfvy15LW9To6/SBflMk7Z0CZnIw2WIFTDKKee+OCVqk7gfOu38fTxi9qfEqcioFHwswF/mcqHAt0otStDpVEvTCQqvWbdmKZLt/6imW1qHABhYamV+e6C4pvOqC2zvSbw+/GSi2S9Ug9o0m91ROTzREnmKJqxVwzgOtXBKvJdyd7bivuK4pnkhIwz4KZblGgHQ7kmVRfD2nMTzo55AUfiu2u9oYj3vouCh07aEH1i5RKJtgtK+24Vw7PnnDjXtE1rrj2Z6XNMd/WkKMFxagXlvKWQeTxdEVH/vOXUL1MUouL0ZkLuBWsVFbmSttAoDYrZWhh42ZQDWrFeHm/URlKpgRG6Ot/lVMrSa4Aogr9mc+ugXs7N25QRMpNaJ1pBXjnnnQh20m9/XJMGqK0xLd7cgXLsXkd2YRUMVJOi5eBqNq/iq6raXUYyXQwZr92+aODe6EawwvGwPanQIVwF3Mi++WCac8eQrs6yNoSuB6jFbUsE8ZiLytWhRjmDytFQJAQDNr8kG1UdJc/BaA41YAe5AaMQiD/2vClKEx8F8mqbLaAxoXVJrc98C/lPvgjApMOwp6bTJNMIPFrjtMF2yWn3ZK49rMG8Am+zgsRXFNgbubjUi1z1gDLzEmnVYipW6D7wX5HfXh3vBtEJ7cWSd5sjWbhGneYCZQ6oAWTIaR+uvl9Rihxe0GplJ5dwyMZW/jnctqksSSMIED8MdBmiayvFf9AuWM22x+PTdS/lGqY270Nrt82/M6NTvSlGTZhit/UQafAJsFHeX3J5rfM6clEPYiqcZZbCE1vuAumSvI9PsVUnawYJDl1Ku71voRwm62hB3p91zRkZF2oha7aBuGi1d6+k2fzqRP52xsTIenq3tybMjAzMpqfR2YU/PrQ3GHNnTi22VbhIrfGbXWMKqumJ1TPxXlkXLB+kYcLkToTbSZKarH5t95o30lXIjcYco3eTZUfoGCFDjq8VEn7L80ncmUsGAG1LY2yG2N74x6K1XtQxeFgE0Za9C018UeCTv0GAi/s1nid/HJjUnAvAZ8VNPf7/SLB873jD0YlH9wF0Ama1CqcH0tv7IQ0ypb2uSCl7At6LSvK3lTM46CybWhUFlWkM8UHSaUeXy67xnspRvxyzru6QVfWnPQZT28KzH9usV1Bn5yCREZlmM+hXnhhk/iMTYMx7YySpexa8jNEbBoNgzwPdIW/F8iEnfdspym4tuzUN6pIZdveevtI/XIYUbqOqMiPw/L01QRWPbAY7cGmYP5vzQkARwFzbXeY2TwfVnK8VN1ioZd6BFKnsfpxzGiLJhhik3+WQOK0QtKgbrENhwaYgOKrArM67Ch2hJR7onAWbvwnYbQnOlIA/ebfShsHBi9eAJHJdnGcSfIiRbjcbhQDgoe/3CaDFGqtvFkzt0616bG0t/BVOcX6KoOcPqY+Ei4wtqNIcaoXppPWpv0mOIeHorB7JI0jilYJYFp4VRrUyQZ1FW4JJBzocjlL46eiOVgjYoQazplRwaHDBQIj2KgSluFhD/6+QtCXEgogi8A2ktuvczHzgt7Y5ZhlHB48MgViGEPU4Si5H4IXa06p0+/mpq5toj8kqyBqU0WLIA/nLU+YNHKHmMvVEP+ZT/q7B5zhtHxxcSOQ9FJS4bfHJIc1r2GwkCbpDq9kf8AmOGXiWDnbBJblSzv8C5Ym3HPMgoej9sJkN17i8ZImlnMznUAqUSCuVeFRC/r5klOlwVeR36bY78XSZGE9cQLViyIilGFaPXG1jtyJdIsH3ZYqjaj+ySOGx2fQ5BxISKJ6cZdkSzeN/kgS+oMrw6KY2EItMeEbRozCJVFEp1qGPNW2lrr3pkLz+dpzadWna2YGqmJr2UlY9UNiDvhINuPTEQ+x4CpVS+FYRvgYWLn+MJ6Gp2FQ/qhEhtH7TB2iFs0M579BkX7vYu1aDgQ/7QL3ioWEFxaSkr5NTe/OwpMJ3MnK9gMIZ3m4U7ZjiZDWxneqowtC6rD48uJryx8rXqC7Muci6KiFlvZ3zn2KIAtSamCVjGaOxjXB9ezwAsoNjkPpsoDcfTWRo4bdP2s/JeDgUG2qAJlryKKCf/fosKfzepmXXXGlRp+HDdjV74TpEwpA97tIWmt3ufHowpGsSVROFGjlRBj51dxCTF36xhoy8u/HumMYExvvCrnTIvEmw7bYTqDPnQsIpQ3/quTNZ4DlGUr2IkM8xHVhDwq3enl6+jelyOwVqgY4N/9VnMzCR4RoEcFSjzSx/N3u+50VnW66DC8VWyz/awGikr+nJ4ccpXJwDmLoKwsPfczaNk7SWv8SGb/+yXjiE/v6wxXYPs5iaID5vwtrVVkeROCZS7vZEacbJs6zimFtvV2V9VYOXjNlVlsMhEpnkmPhc6cqGQH8fwFnVt8BRqlPfgI+RC/KFucoN9e2buAh8eMgG5Qhw7JMDWb6IGXlbbqr1l3AtYACnJGl4Kq5816LTHcRoQUBYY2qP4qyQGDpKrbEp1G4Clq/cXGqlFYHR+GGx+/4BaWDyG8WgRzE1iPLCBlrbu5wCI/69n3W57v9Ag/1V7SYEWWJAav6sV2rl+9Qyoe0UjsjB41MZw+JLIqgRxB9CN/Bf9zsDVyd8Y9dUvlHxz39nxCdl70asRqUMNG5kwsdw3fURs8YEIVCyHHuh3xHIND8Qfx1N53lw4zkDTNiA3NfC+ZLO1oK0KjFfFlCbgb+6tIXLVWKWbn06tTAEyZKPkK81z7OgE1PleGpf9/rNxLxxuIG1FvOREoGWjoCgpLIg5NQZG6LfXZvcDFASwelkzJYJk9i5aRocQ4wNqoYUSEqfckk+lVJsvfHiXupzocmT+czrXnq0XgPk2Q5c5pTwyOTHy9Q72fwdZ13WNJMjPyiWoVvQnAqfNaah/6orKKkr3nB7zW7ETXRskMSb3+2eno8kJJysQkQG5lPnEmkF2/IdVULgslhwrMTPRm3/Ab5AOyP48dY77dzAv1wfICPVXixxm1+BzEZ4pNGu6eH8mrToVWFzsIy8z7ubJW2ql0LZeQWnOzG5/B5PUtgRSTbHhgG1g2gp9amTYNAkyDbN046uTdeSbt4y7Dod25rH/l/vOM1VZe4eYzFdsABtcQEoirqyqIf/heBzyIyO6B2BjF6I///hHwtg8+V0a0FsvmbDKzmxihGQGt7fV+AQO79Y+FKaPf/FZtUmRubcaxPJbLZYeYPLFHSNvu78smnMj8/qEhh8VRhjLAuclRD0ROZYs47JAQw1CqW35zqzjquY5+q6kfo7yH2yyKkEqiMtXmzNfR176TOLjrzDpZEs2OwkgI+Uhrt3rWofzB32beaW2JD6SUayil+W16n4ugmGOC2SEiVNvu+LK37VHktMbqDCoydL9BY9u3LFU7UuObzsJj0rme9p2/4XVwT7DXIKgecCRydJfHLmokPbZuluDB4Y/69uwxzewisrmpONl4WkafL/mzLkx5/pNzH9RXdlyA8CrAWm8ii6yvVjKMGjaOB6A/oG47Tagn+o7+kXMPYTcj9XbvOwSxt6Y3Pi1koKb9unzk9oTptqdk65QZHzhDRVRmgmxInY1B6IrfilG7PZeM9FZGc/cfhU7jC4MlHW9cIGEjZomJCys7uiqbNC24iBVM96k5E+rTXDbN70VNs0KBXPgswInOUUBEScqW07eroRzAnYnC2/b1cIfsF0K83zlQkDYZSfQslI5qGqYSpzHQTdczY126mXz0VuRqq1z6PmR6CzTZhjRZEZC7qa6Fa5BGw8MDXOn/m4zojzw9kWQhXL4dRlN1xFTx3lGDDdC0KGDlZMBHvSFoPDfA5jgZJSwjCmG8m/ytDzoHsgJ07SXgIvaWQNNtj/H/DohOQ4cZpHInfaclztGePhPbi5iOosX69KH1S9povRe+5iMm23m2S7cTFy7MpaAe1taDCMt1QWccni4r9Lw5Wh0agaSjZINoVMfap1yvgJfELEDDtxKUDVGQHFIjDaP9zjyk9edjR7iR9DJ13GGTLWw7Qw0qmvSXwnsxMm6nJJmhAMzxCezoYowFnaRfG730xp747VtUJM9wocnsNNbE/+b8bjNTH9HvEy/gVbFATWAzlqfS/4QVDaIpY1Sitnh3Tlv6ZEB5myvcuTAuJbi3nLNgr/fYgAShF982rYd4AH8C0zALQpx6ALHN597dxadeQIkQkdRAI0Jp0xyP8lTstXI68nyVZwSixlox0wKpNizt3n1Scl//OlUVdOyoHVtyWGxR9ongYztH8rom5X8wDpNdSVHEugrat5G38HLQHuEyf+2aZRd+HjTbZYTINkScj+Tnn4zethg2So7NGnOE/5uX+DbwEAdlT95Jfq8xW0VKw2tZcvYYkIr/U8MdoayPEqTCJWpaK2/tYSZR6nBkJnJJndBikKZhFn2ZR0T7tjEYnJn+1+9UYCTNyD3cvHEk9kOcMoJAF3YlTK19Z6ALU3qoAPcPdijUiaFuxPzBbDvFASpP7kwWhjMvB0koTZKg0LTCiDpkCuDLCAONlEAYMy+ynm+pDkhjW1fz5ZMgabe5bqX2jYkohY+deVlUs2SEHAxXm0KyZRrICOrMNc5A08XvDg0tpxjeCK3rpV9jPW0X8FA93BSc1YjP0aRA7mfGyJHZEDl4PosFrqS0zTa8FbHD+lGbKK1cuXd6SM+XzKdUPGoiiO09BotAw8JGGkVgq7R93fbe9zsUsOxGtvneDm9ldJEVrqvgPA0Q2oCynZKZxbmmHdvkRWEK/QtftQGq0hHqJA376kaGX3dcQqXgiyN1uwV689HfadZhdRksSw9m1C47p9cnwLc7Iq4FTjoZIZI4KKfn0rJU+TZfwLuvtZLoLIHZjoN8ZJoZ+IF0PyyfDHz/IzTFqrCZDu9nFykMq67cnMlN+psHDrS5wNO1ctSZpCZNd6Jpj8W6+ByHDcTQWg7ESqbNHJ2S+L/3oNmlsofdMOL35IPl5W66vwv0GlGU0XsXjitSR49L/v//f4IBj2ElAtZOvhhoyqKcWWqwtzRWFb8sj53qSUCQOIi1cOFtV8K+oJbQB7qxxyb7w+V/+/IWaSt1T2vTv1jbFHyosivBsFw2ciF5Wv7PDqriJiR8grr5DfnOZLJenFvZ3iKBso4jV2dR3XpXbiXi6DeQ/SiK/hq8bRXMXgt17Llx3ux6iL1puonA6RTXNQpZqPTdR1Tqw6b0M9E1IdEAGiO9R7X1bY9gTjPVBHsaRGbKOT6h9s7meoqZXOqoWtUXFZeu/GHXwLGRs5SrIuELFiXEMRgiBdJIqAS071ssuwwKvJ++ZRfac7tR6rvLnkK1MRIAxNF+3O/njrz1BjYg74fvcsQ3aOXQNf8fbb6JBi8lnNZUkmWPskS+JEdJokATR16geUkdPM7ZfX8c1lgtk1l6QziOJLJ7aHPXG/OSmznGHXK/bsnrvCivyZUrCgmHnfkWhwJoXw4qK5B2RgkzvKKvH/LlX8OM006c6KIMqQHQejjDMb97f5COCHhKj+JhwKx2ICvwUlESCfw+5jtOi0PbBEFZvIctyVXYNRvi7LJsXGHxyBeATLlCFi+A5yqGSrXpSe2xKgdyw0cEwjKZ8y176n7WQ+WpAvKrdIFQI22mVSf1pqBUH8Y+3MM4CnsnvL38Ag8ghGyCzMmMYODlyz5e0Lb/Vln+TXc9yZwTi1Gt3Mo7jJiUBVVNJe/FUNUUeryNqg7vlkTs59uSGqZSZelt2ZRAFBCcrcUcthuHuNPBG+t+4orMRRDpFumfzLSb05JRKK7G1up5M33QPVf3cG2Bn55EU1x9U4qVqZxM1bes6dx2N9hf4kbPdjUXPVZUiMJV9pRNkJ0HsHdRH8TrpE8ZO2jo6595P+G59/IDW8TD6F9w0r+M8PRiAtL3Q7oYj4rwzYF3ovE9j9fbSHORUEtjrMe2NeIN1Qaa3qWWRdEQSASeqoPHf83vFAUmkowlin62ZJJ4DJlZ9tL6nqJuhSt/F7hHrJ589pbNeU78wgvI406Zj2+A+z8rFScAHvtBu+MKZd75i7aGElZkp8rRpZrlBK7fZDbaVreR2sYqb8hyR6KHU2ozGhxNPm6k6n0J78pqYYSwruB8/TcDwsOuFAEKgMYHW5YJubezOCHtqunU3c/gLsd2h2PHPq1Rm3zXv0nbmhnV3BGlB4Hjp9HB81zvOf+LRxk45xFf8DbmuwBipOUzxhakNv1oJqCvgmA9RXClnWJvNT5WJSv8T+M2SrrEstsCQhskXIgVu52o6Tn3h6k/mlPXfswSm2M0RQksb++P60H4GdBXkHMGd+DJ3sCCty8V+9ryh28kNVicpGGlSOblmLZyMtyj/BSlP17IWOsa03PjVmUw1DfZstIhrljhw/lMWvO7gPLFvE11rqdjPUTfAe4gW9ztYGxjvSB21AAhqhezqWUrUE1FyWlBZa4+XcAYnyFW64QTkcCeTHGmu9MQ7lOTvQcL6mVLlagFP5N28xpMRI1VcGaSz2vriuoHO4fkQXI5lhUWnHSN53aExTp+o+YXKbZ93a0LRr8vuLwT37vD3oxt7vzOwfzU7aQkkyF+spNIDdC1En3WW1f3sRhRlo5YjZkeX7wwTuUFcr1nLqBpy0PWBOIamtdlVJLuc8mETogM/IScEIhA2PSAygZUKQLAiM9Uni/8A6sIZdBPJUEXQ6jDEPIY68VS3NmqEgvphKfoGT0mIgPyW4caY+l9e8wz+v9yVjlGSZGEyH0vixG8sGDcO6QUFWpbeEbGbJYh5+EUa/S5t2IdOROiJ2Y/JHWS+spUfWNepZz92gmgIMmrjLKF71qOMfhK6e8gCY8oAzwlAXxreVCTLwo3tCu+P6muA1leufepp+6Y7Qi8Xw+5fAbG5EOfzRJdlSUtdtUEojtoLngRhAiOWD+39ugrmxGJ/ymDXn0sJ+ry0gwO28TM7KIhBnLmrrT1Ge2Q4TUSL9Z2BTG1r5P+h4AbkYi8PxznBe9KJ4P5KKw0UPXeLiYVQRsrSa1Z4TvXKJEsCWTQV8WIdyoBFv/ntw1fcBmDbIioS6FbFXfVTusGlbK+1n6WkXDFJgUQDwLjNukVofaddi1cBQL28TGmVbrdq4ImDY4B9B9j2e+sUaf5lfbEsAGAYnbtGqYGikY1Ls8dlSbjxz4UBVWzD5vBzf6DebUpqUc62ZuRIlbrHEA9UEf0xGExaWP1tzJFJjTt7eYA5GCw4PddxhRrGOxA0iUURe8tV8iMw1r0PDtk9rjHuX1zS03i0oyhXZfeSV2MO3vY+SCEL+vbkiLMKP8VIplo5qrbuUhmgmcQA6o2dtwl+KDR3GMrPcmPI7ItSVCnZDWdHdY7pDfivtWfClQ50nxOtBbrxYrwKo+JthMy2bcA+UvoZo6BJY1Ai/jsf22LULo3KK8ALzKGKuCT3KkZW1UvfByV4wdpdsJoIQ3VrS0m2wq2/tAAsbQBce5jQ8j8Oq1S2Qq5I6I4QqfCk0Xjzw/Q9hGpz57bVsf8MoS8TzDMbhbwJIpAvREmIDsUawG6BsNla/IkFTwbLp4woihHNl0EsX65l4GygbXMm7AyjHVnRcJVeApDdCnrPbHN8WqHqFXuqqno8haHgv2ZLZExLCFpqqzKrC5SwcZ0jL9ptdoXfBMz3KUQBy+O8xlv4T1t8k+LHj9BorJG919FLiDZ3PnHUckRA6Ho/B5Mgy2rv9S9junQrtdNQH6n+NjwqfpDL+qpVgcL3INsJWF7hqLGYFlj6W0DOhzJLJT/FIV5cO2+DpQP9aDTRdaKZOfhcmiFy5CWo+q8sAXKeuJiWyGW8JP6vGh5cViS5FOajoc2ZXtuT5Yq4Q4IgE1h4LfYpVuB46qWahqSTA9b1K7it0JiyhJl0R8x42jsBrTtb8H6wqvB1cR0aZVnesRTh6Gbow5Z2/E5x8GA8PSYu11/V0AZucwKmaTZMdpe8xkLK8goKrhQ8KDo/3y/w2EktrLINxrx+2ieyAZYlAxxOY+qvs/af/vjDZAqZFfUjmWQNXnLSya4XYPjoWQjmwMi+/xlko08pPFg0bRFxfDwOcdPIe4f2bBnIpli9hh34arl5LqaYUth7X4RDVXAh4uuCiBWL0PdvXqtGIpE6HQH2NDCbC5v9Csl2x0PptCqJ4buzvQ38Ew2OLM7zeG8GvH4o3NA4oTluhS+V5HnztPZoKmPhSCutXxepnyebyGPbUo2GB7Uj63jPKYbrPQaj+/09hO95IbDLf8VZwbMotCbMhOhl8SD5UGfrwh+q1cegFYhOpOnvtukQ2SYtLMCLUUZ8Obhrq/upxNVMGVXCAD5LvuEKVGFm0OVkU19bbEqFQE25OFpWPkvvp4GAHFlCRH8qazo+CqotYd1PeEzlCUl19RJ9wJak68u2IaAPLYuybS2C4svHLO30O+hRfJ9f94rs4GxDlaD6HvTaNuTrm2IskDYSzlaDNhXYmPuD72979Nn4qXjsMAv+sqzJiR4N1OuYjmOyoKetXgtrMvv2EDydRv2VD/TwV28hxd/Z+YESqeULjnRD2yLrhrO9DErVG5ysxEwMNi9e1qAxJx7ZwOstBiE/K+mdXb7tpVz+Dimj38SNjFRJ7ngG5YfzPxg8ZR2A6TiguGlBaiJEq+zt+0srPyPtw3TCQG1piYdAg0SkVrBNJtM/xZWrQmztLxJxRoD3y440S5jipK9hFiX1j1r8fBrau2VYq6IXZV7ecfD4b5Wf+XmKHmDYHZZEw5ckSDEqks7MNz9LFojKKWBH2zFpDmv88YwQ3m4nXVxs/ykt+LgNsLzsxNhw85NP1+OCOU7USswLvC1I0Ys+7W99VLxySdNFDArN8unublpVYpLI9S4TyUxCv3WhbaEPV42a/WteQ+YXUSWFdPqlA+8fyYWaFCqv0HEI+RbNjyHVigQ73WzTQDLrChP1E5pAB1D/Kpit3qRM+EzFjKMIKyRxShTGJd2Lxeb7lhkdcBp71JUXwlX8hHZ/ps5aBtNldgqSq5A8Qxx2a2I/QsLM2aTTD/X0NEkVxPAH9kjyH4b2MJPIfZvmPv9Ix6Zex/tm5huX9zAVA3qrlW6PpBpJlkY73HjiHyRixttnDzHLvXmMAH4r4JwH73xebf58KsK5GlUULLBPQkjuUddJ1/zrmCjIC4PKbWICwAZ/wkz/WjYIgGgqG6pF5ioyN18UHpm+ap2yf6AIqBnQRIhTthDpkh8j2Dp3UI5/rHiNozLQdP+1kzf95vdPkVM6d4kETsdrnZy5oVkPAOv5WdVHkH343rb7XSq1REcBJEBYjTfTyJP2QZhBIgzZfPiH8yp5mTv+3vQMNsCU+exh63Uvn0r0iJsaSBrqeEN1B/CSAEQlIGkWb5E7iMYAnVYd9pj+lHdjod8JD6Bd9rUThr3DwQib8r4cag3/d9el29ZLvXj0Ofw9s0K4+R5D1PiqB5G0jdWtum8qAZya7ARvOUEeNKyl50fTr0gGTu0JNKkSjIz7jKtqX1qgth+UY0vQYIQ6E4QdfnjHkmBAnRNPKXjm1IVsEe1Qkxkv2aHoy+z4qFU0YsvUNu1hLLrMC79e4q3PSP9gAVoMhs5wS1+a76iPAdjeKKjMdL3daO1ILouD04t/s7kK1YlUnMvle6JDznV4OnwJSDYv0zdCEuDCd6Fe6n6ZCMQtgcPrs61Znr1TWXVC1Uy5CwoHvtqHwhAYTPhvCT5TrpgdVMkEVkWpI19boZ+xVGCHcqKlrtdVuZyjgLWqG5fKzjLniVYFjMrF8JbCKyBZqvVzxTbtfowRW6CFtMZ9IMi3ZXHxd59AXwK2Uk9sPPokG+qqURNSiJ+/mDIbOPFkRLw3F1s+EuMm0qZLVr9LXMHQuq8S86oNxK6hDQSrcnyYMg3iVikltdWEBGwf+UNsMBMvkQIdKoXezPeXmehQQsnruXWfKIYs1C2aMGPUvcrG0HUl70iG4g5T/qZ/v4axE3wFGKoC3ooR0QLYETFCHdcECsh7i0Ti73YVIvgRjr8zh2pRdvnbs7TmEkzkkVKN/sKPRZM1p69p+ZcJKQSPzseF0UcLh4zP18yB8rMzOnQzirqad/NTN4W8FERjHZln2MvDVAXst41vDK0Wydo3MntU0hw5o/53K030YNP9jjeewzYVXkvmolbBuJVihGeLu9TOsn0GiglKYBjIBF1YPcF5gbhQCcVZY7Mf5ZdCwX8/yAUSYyncEZEFdlG/wgQ3IQrxJxdcWlgl4VMR0u/nxLQ26cxYNOtwzxje/msjIV8Se/vpWU5YkCuQN+iKS+RYkiwsbgpMgtWE9o2qOJrodiZF1SucYVAUQczB/8G3gRiFyPx6P1YZC6EpPXGFnFxYcHq1JuKfwIbIpk+GXrN68ezSkxhLn/ojWGyk4Q8T1nvTMzS00FNiQPhtaGFsLY6CnK88E1plxJovVUmO0n/r/1fEl6W+D5Vay4Pfz9a7cW+3iohsB/SL5AUkPhvq7e8CsCcQyQ8x3CZwZTjgjhD8078EHkD9wtSm/2FWnfrwO5HFZJUrUUmIYYRojlXRmeGylgYvoqXt/5V3VtkwNeecQXqv9eY3a3wetX0tzniyMdyQlW3fRXfgdH+oqyRj1+1d2PjUmhiL/AnCk7L2g+Xo+mZVuqm6pKIPTGp45HwLKF0LN5Mi80nwcgGqBmSIsIriC2R/1hBTVHJm/1hevJBQ9BA0m6QGwfuZOYEMciW66hJ6piDeFn6hoz+4qqGUEH0KfLNcUkpMuyZHoHZqAz6SSrL7PtugUWa6XOMUirvxTj0JLMMqgte7onPFgM2o1rl8pQH2PjM9sW2J3yWp87s68101MyfG1ZmF8QAo/1MOq3lehVXmsgtKTXbOmpJZ4Om8kDV89Y1JvC2lsGH0qyYO6ERTG6KYIJZHgoCD54dYCCdawTwVE1nA2sqItz+Kg+pkjj8T7H2a08zScxH4QPq+Q1mu2yqSehhvq9wFREXd/2nXZu3ClugBkEJPL9X12WBBxaOIfCw4w8UnTGc/x82a+SPCq1gQhn0tXBiuynuedJbZC62fppbwDKviAWV47+tUbCS/QgwSE5KrQNmF2Mm0an48O6k6ICAIg4ULRHCb3kqENr3IQG/rg23e2lmht0POJV3UnMwdDQ0FYZw6UrEEjXAjlV3IouNGiBL9MR1wS6y1iAgpGvleZEKmbZcLjvzLHm+ptn/mMpgNO1KsmAvF3+DAI8nBOMEDGxae9NO89eoNECoCuLh9v/DYo3KnqtNcQJbKgaLdTHiRUkJ3Z2E08FSuq8nyDOQYzGUW3Z0ssUjfZP+9UbHTVb3cqoSQFB3qOe/A/gTLMyHlodsNYA/FhMO0BPK3uoOMGo3vHgp6uisZsQe7SXG98DHme4UrBd82SxgvQkeL8J052EtAHktYgSl98W28pwaggKImcEeD0ZHFLuhNntHp8k/tcPLoffL71Tz5YB82cEhWz/ULOJBuQd+aJ7etHLgMicmYdk+fwvHCcUuD/joZ+uoT62F2kuroII8j/8zq+HTkf93DXY8m6E8xAL8B9Wxowbdc+N3xvMLBDOVSiGEsD4qPQEh5zXqUXKpzahCR3QGlli2nb3bKbc14uB8JWTCOvRnSKvwbiNWFYBe0k7PabdQf6dgigYCxKS+JUAlmCuDeAjjpwL5+QPJS4Gr5NRsZEw3sGKwngoFLAWQBNodUUAXHHWtxQkJ5KgUDoxXyQ87aWOegVr7LCWg1kGyyJX7xsXRa8HM305CXTlf+lf6ea0hokZaUBMpa1tqs2W8q4eAsWnWnw0VYtxEYJGo3KTVtV298IU9NAY13Wm3pjm8zf8oudjae60D9lXOzq2euWCCkJYBw/99wg8x/925AFINOKXH/n7Aq2tpp8GDU5+JEac3GK7i8MMrp/dgnx426sAIsMYKQwP49qr4Ao3SxcvmxrVtOYa4xmO5BLp3Lybgt0SFvIHjl9sU9M8QUecV9pZK3UrEIP0VjShVbq8jkpm2l2QUYFtN6Jzh12+4utUoKZv3D1wZfwD7JtnxTrUIrWOEnX5H8JWx1yr4zUxe7CRIlxqL96jNWHMV36XRuTW6ZC6pQlHFA6FlDDqIo61OPRSMV6Qm2wz47BiWpficTrnFf8ixwnZ5/P9kqH4ubaeO3sglUqYLboSZCM8joNvu6HpOxg1zvjzrTZX3hyLmKv/X1Vp5+4GULfG0F6zqGgAFUy3sCGCtv40eeHc2nu+/zbbee0n/Clh2/AI0YXq15own2FR2Dd0oMyGzI1p4dtXWwQeaIv7jcHQJKl0RvlLUvlPO2WzgP3QOdJ+xnAMidlQe79iqCCSOF2QwfUkVGlFKg8qKe3mUzgP0W6PfRdIJLty3yimJnIlfgIeMxKKSTnSYa8Ubl99jXdkmvWq5IRQpmszfx50fjpHikZZsaiEg7yF2VMp6xbEvS/cPKVDjMC36oMnp9L8DPd06G4ofzYjuJHauraC4e7Zsk/HAxnUY2YQ7GLO4VNrCh9QzkIEK1ddiIdyc4W04eYPHsD87j3acO26gzg3cue3oaAtEk6K0jhAd4nMUaufmWA4Tu6oeG+CcezGa2gd/3OzthpXrtX++iGHZBY7cPL44sG3Da36jyZaAj1zALNOEPc+74m15yiRBsMftr+9WJFVXe2k7KwRO+LyM1qC8mUb6Ly+uZBnLZ1aYPS7+LlcrUfjrQxc7/j0KYqGlXiFnGbiyM/25J5qtQcnNpkJKnW4eSikDGS+6k5fWE7SIWcKmofsf53UHz4QfeiYXSq1ZKfoaj7x8jHSJtCEvXugIGIFWp73tVN71wmWmPwEwy6PBQ1pfVT8yy3psxmNqRTZCrP0IFpHIiyLUaVFTxzeeqRwSLv2c9WSNtxYnaGMJAxD8dbYLU3/iPyuaw68pXAhdMf93W6mXekGzfnjFzjO/nWzYxgXijlrKMAg7PbTW8JgTLKQynDUkJrylOq6jihJyAY4u0rMwLb54Y5ShJxFufYoVikvSx8NvoFCvgsJXR0/DEhsiRNBAX73dGQ4S7RHt5ELTuoDzFrxac+ZxZcCb4bdVCIzDwrMuZgE7wTGmiOKcWKaVhfQmk/Ww5xH3vsic26okZSgID4Xor6KnonZLlt4/Va1hGw/b+vbcfPpKZXO4Cdfvmf2vEJyuxJxvLXd/pshP55WeP7KpS2qYEf+lVx+uXsazVwxkKvUaFJJ+OLzsqDkrJvNyIXv6G5/LZ8ibAhVSsZ++cIU23JKkNR9YIUB8Y5CFPmqHOwYVPm4JM2SbZuytUfUXQxdDrv1x+tereVXbN+xDS9GgXjmKRZ4JswA0QxeOj22lfrH1a1BPMVgYBMfpZsZXSP0GoFNb2gDLym+YtC1QHCMyssL0Oro1dGUlso5OllcdWj5YZa6TKZpsVxScsXLc2aFwdxjcGQd0uAogOAzBeOOdxQEHMCOgdoNosJgErx7FosoJrvYY2uIYv5JEtF2ckODdpngHYqLtgmnknvtx1ArPxPLzxUpRZkUCa3DSOjseVxkLlyIJpGk9fSN1FDmKCTl5I2MLV7ZVIIqlwB3b0Tz+SroVn74IVaLX4A+V8dwCDNpQR2iy9owBMIobK0Wof2BE4JEMa9WB/5jBOVLPCaYE2t3YC/8GVn3dF/Y7QdrOAYiq9sMcjIVyvxmlsWT3KZAllpmVBeaFzjitQaHj/SbGLE8DttF7RoELGmL+hWRImk/alr8NSbp5zpWsixguORWpvvsnijdZhMo9nJ98xrnHu0NyajC4XT7dmxic7paZ3gmVFxUyKBAu4QMZm/MmhwbHySMWZhNId/K/lDVlRYLQykwtlGWMCZ9ASoa2vRCfn2YJF7h0p0Jz5L45UEPrMEAJA+VtMxQumI4vEGtqYn9mqLjpxcT+DnuBzz6dbPa/D0xtuAIWbp3V6DBtbyP6SA1RqspS2NEXj0kEOadQr2AWF32BDCCyGgaeBw2YVc93z7IQ+GKxCMMGlQjx5P0JVWIx3QkJ6iqM8oZirPIHTK5zM0pLAouZOgtF0bBlByf78P+MTTtSaoFttNNoVFz28vXnREYctFf8DIEFbgZStycstmbdl8/l+8jV9yl6RRBph417f+gILKkdD45BjXDJojJZtXZRppChczRGCsD2oDGsOtqHrC6qHurUfVOzP/Ihwn9LVvuykOwzJxMZcbzQFUmww12awlB1G4HJhIW8e5ML6Ig+KeWmtsTXGUtqauvSTRYTDsJgZ8nAzCQLq+eqoWL9PtJ0ilVNhzg5LcVKn+OeFTrHWEeA/3PsytrqvgKy+6xDJR3nYs6Ue9R8kPc05EK3+MfsJ3izxMuzUMpiyKf6xvd95F7m+Li0AwXbUxPPlRJZsT2qykO/UbLhyYmIaxGxB9rBAdso7bpjp2CF1snuNMD8t+Nk3aZcONzPRnIXcOlMJqjKlej5imnNSyPdzVx1lLwbSiR29DWnYi/XMe6lR/MBjgKnlNAQZIhmKYxmJ+syOQUJdH9W9W4541TcJc+/jYZslgUfsNcrBm0YqZ9IIR1pBzADgmn9HuxFoQpCrsaQxxo66XkmSAlV/7KTONbecPl6nyGcKts9wlitJfRnUVlVPMLXXRndQilU0KDnV9xnNqH/Y3PiRTcKcibf4shz33dc27TWsq2AzUs6On0bAM/ms8UDoOvcrVSDliciem4X/2yksSos4Lkp3+Q0gwRTcr/9Rxeb5amYJlWxHo6rHRmt13c6kO7Vp9SULiewq5v+v8Okdx+TM87FUcttNsGfFHrMKHhUiGbQxMXIfPI92/YU1/O/sUoUOCW41IN0YKOraXMy6DxY7r1jCIYJpsak1POzaLQcYvDl4B8SHgisUmcWO3OIFkMntGR0987NDikzfLZa5SxL4LkkTo6y6cySRBqsdRx89OBJk2M9CRGoI14ZIx0k9qT4C+gQusU/j3Xp4wAyiEQ2wgjoxvXhZCiHfsAaplZg7rqZjAyDNr941E6NAxcTikZeNXFTHacZGe4xtc/vQuBoIpNbz0o4QUTQNfioK4nNC5ccXUhF3V4Lslskn1c2FhkuRHlL0GrZO4b02s/nCoxgaU42xAxfuMssyMLqIkL3rvBcBn2DvZIyELEjwYOZddXp5t1KOFCRm0G27+kjM1YhAR7S8mMrWd46aHlH0qT1C2Tvu5D5Ra6JngqRk9k/I5Efna8phIlFUjt+P9/3H7Hw5YoydbTQnTnp7S+Pi2kEY5Tso6PM8QJUq2qQfjmlipx6xsBI5HmumrMCfrFBaQHEOOLzRZPDO60Jn3x8CFoyLlm0/4EGEd8RQJN8TaFCZOsXD1zLzjxv0p45GLk3d0JEL4JbkH8QQ2vcc8ytjruPIUH2DqEj/rlAS7++p6Lmn4KgE8pY0DvtUYFd7QjMbO/D16vDIe3kK7FtE2wKMePwRRUhbFOpZH55akZ2m7LYzroIPA0b1MMtFJANBXkxdKDQtLzKGadNs2co92s3MZEToYZU0B0nAxcstAlI/A9MhYTPOIpOhl3WIhIT9Vgc/rHxyd+4go6nVLJ5myKnOzMMQNDUfS7Qy+X+ZUsKg33t9FJoceo+iXpJ8KDtEn1b4YUlxiOfz5trXrskHp5UO3UY0T2cxwlPQ9w6k7LOWsRGdOKQx4ez7VL283fBsHjHiUlCZji9NEAZOze922fi4JdvcaJDCEz4Zuj72sGOUh14tDqMY0WsvAonIEfkKuoJKc9hiMotfvu506F1/DEshQMYPu36mfoDwLkXAWEc3ZjFbDsgjwZmxp+MD0lQ3+YfvzD9o68sTK5fCW+AGLdcWFQrkVi64nUVURFaeFjJBV3PJPa3IYt/H/6DbAlE+2LENSt7HNmkmPzQILZy0WsrwPbnS78w5hHrPR0OiUDWaOag+WBUYeo85999TpM6c4nu7gnSdyab80wrqs9aG3AVghye88C+4QMNjA7Ims44Ow5HywsQz6ne1kK/s3KUMebhAh55OLRADbf6SEUQMrgj7nSKtj3VY8/DXASwrDJM9VLa0YnJxkBMiuH+8G+V5vD1WUwW8dZYBwToKLcyrVx6Lv1jJgHPz76N8rN7wmqBr4CJjEI19kMklSj5ABT2S1Y7vSfKWmEBRvJAS0uyxdsfaxBWfnf93h+Iqu90RswhjQXWOl28tja/yphBML8XZyIYuiK3z6ghwTh3guxRWrY0Pe4vrk9pL4hbbIUQsENUJaBC6J9VBlDT05vvOtElQ2+g0zTV7txw5Xu/kZZ0wrBUwdhf6ecWMqaRos59i53NCxdmE8xk0vYdZA4WnY0lOs6hTpax5iNWyuVF6RTTzYf0Qu3L4yxksk2DcMho1KginS+V3tFVmtBmdLSQTT/17cf5csKKNhokBVXMdgkZLiMxFoPPIbJ8nCC2eeGt9ewgC60uxDo4Zb8m7j+8rYWGMgu4slEPWhB5b2vA6yWdl6BrhzMkAJSfMN4tuObdiOwCxNsksn0rwsy8q2HpQOqMR1PvkwdLu2jEDF0p4VTXtHrWC3SP2Yf2YaKm8t15KknWQ9E4maUtffRtVqDJ6fqT27shinwLgfSzJ8zSunfEiisefY0bXVWZYZsckoZIYcwIgfHYPuxR2lf/oXUVjCDoShUOl+EBzSJ8uD1TtQMbtMEAotnJBumAORCdl7pKKJ0s4i2k8THEdFdoy90dbbqIlHgtghVUrJKUsrIqDYoUasmBmauSZ6y0MDaxgvuiBpbqoqmigcxfCSUThSIDN5GeSBL0eMHpPLx70zEhlpsI6Oemr8AUEuUYidba6Fb79KOvMAqdWKChwyJCG5RhrQ6fHKaGw3EFHFIhJQjlXECiuN1sFckqwHb8Vm+jxUq+Mvq2UzStO1yypuCSNrJxObzG6fNIhv+O/+T/GXCyg74K3oomnDmBtBe3ycx0GPP4JLhJCc5sxp3kFG3cE74beiKFKoUr2688zhp0vYGco53+AnzwtwnR8i4JO8AyOG8AarRtEDlbU+yTZg8LF2wKSLRfy9+7b3jHGfXLUacslP+jlUFfcnnSwPVu57fNdCk+iWMM78cke8pGfGb/QqP6qWWEqGenKMj1k+y6tFboaTk1KnroLuA7+h65wHfE/zraXbeoXUlehmDA+lQBMVidmjjWC/kmIDsQEHeNJmgPRahmhRYFs2bB3xac4l6k+gmP5eeEkVnEymNZGyVH5Iaj6OYT7J3Cc7/y3btop/uIVevm05D5x1szoxoBT0petRej1Zwy6M8rEW6jJi4tBPoMXYnc9lkPLpAWUvJY2aDTLYtskPHoAokW2enzmamLOU33dSpbBr17yD798QkHqJu/6DrPVDou4IjL3r2l5ywqIAJJoxXSvJnaVBPwrkqcDElK1JydRawvJtGx4CHNnjxw8GORgM4UmFIqemogGKhT+rwCUL/2Nr15uLinLGKZ+edBt6oRvlJPOm6V/kihy+XGn3JpE7uBo3ERTszNvd8mTtCA9/qmip4njI6QOK6YEnFKQM+qNe2mAoonmPjGgbDMyEbpXcWirOD5p4PvMf+gn3YSpz2uD9W67NX5/Yg5Ojl220C7Fs/lT2O6JY0Co3OuOGPut+SLrS1AQb3bdLp5DwM6KTTbTDRHrUCu4kqnao20BmY7wHdRliUh/Dd2vrLB81cJTBNgAWeLECYd5MuiLQHH3iyc9VGeSJJe3aLwGMP6TGSNxnuIZxck7zEnT1YYVmCeoTRNnGAF87nvnrlrJfULbb6or6CF3wVILFjbbqSNo6FDRxYjXK70w3VLxasKtQddCBEVnvCqQi2N6KXx6VGzuaKQJdTGisVGbMOAM2NEOSvkKIHYAfGRf80PeHi4Ab+ijvl6gbcu6JknxJYmJbQ19JP9MuGQtc6riGLuyMKYi7tR+wgb8BEB90p83VNeehjpxtgpPrgOy2OJLdn2kNOhtR3v6Fa4fZdyGDcarH0d2m1rpFdFRKQjH5dRCI/pSr4+X5Rk+HQARlpCvQhRAyI4UoLc9pZGXNOVtZQds1YoX9OxBaPMMy/gER8cCq9K4M59kwz3eLCD6MVexzXURd40MYgkhbXyiSz2110lA2lQt04R+HjzBSwck0iTV0IVrbbfJTklKUcQTTg+hWJcCmmuRrX9a3KFB0IIlgeVHqySfuA5APeWhZJQVq7aPcGhn7w0umfgf/XrEf6C7ZeAI/8xdQIFSy+txfDOt/c+4fFTZ6jBRTTpkjbIh4Ikcydf62EjnJuWSRXOb6CfN8lX6vyHW6MN99H0z8rMeCKBi05byWu33ZCiPWjYrtgpXscggbzKWLVQixldl6beyhzX9Z9v8a429B3MRsaAGzhSpMzN57Cp+XZ36hLer0mQ3DJXJ7EAgwDuXfR7sSDTh9OnfIrOxtdgTeFsfbeNd1Zdgf3Jz/mNQgzR1GpZiAi/4hPheXqT8okv4xHcSwCKmbAkbvATbpk0weZRPteM8VaGDWdb6+FaxgHLw+YIy1ZWdBf/pe1T2rzbXT1JT5sXpLlZil6ojDaGKg1r+5HKXP5uzw+4oibgn4PWbQaiUXeRCTk5a6lsL+7ciF/l9HvZiJ2Go4acMwcX3lh9lNEue+v+lCdvvLQHy/iFT8sG4CQ+dbxmazHUKhlfCd3sXwHcI/PtQuzDMjyACzJj8KI0hR7OPTQYgAr0xfmFXsaT1vdPJD7omuRnq5tkHxEG1rPLi5O5I7ysl4uixuSzwI24Mc+QCWtj4BvI3NgYJ8WvMkJcMI6hcX9pD7JS3BpFyK3g3sh+pIMa5Ch6SZlFSOvbZuXhquXe0M8JlpD/kIowwu+62WoiTlsCQWfdsZelAeCAb48dBEIQqSWrwD3HpfsnPWlyDr04rNOJArFP/ioNfl8kJ+3dr1plHtcFHeB0UwxbEKAjNexsr96aS9xxAlf3PUomE3/LL+GEc4BuifDim/0x2EDwqJEFcS4vewJWwJYPNHn1Dcw8rDcV/oyuiecCElqmElGdUm4kFEe1zMO6xD8X09S06u0xZ+ifDL6SzKELLbhMXBw/JPp4kp+h0oEgmzTyNfAEhOV0tocfm/15BLJHHzTjYhngIUpRczc3VqTV8f7VZaBURwOkfFW9V/qlgKEBRuAPFuIT1iMomNhnfvYqlRI58tP1L0AIuYOc/sUvJ25TKeHFO8s0fbDaK86vJrjJ0T6ktv5s29PJcMSig61hOfLrVX1wmKorjZkHSe22G5DStmu1Ehfvz2AKgat4u8fstPk2GSeNbspt3XIU8xsvhk/GD+IXoVwhZVZOQ1FGm45LWM3j7IbNmt63P8w7xyi4G9TWb99jB01SQqlbM8jbDR6/bbCGfBX8x6Td4O+yLbSW58vSJiUPllpvXsBBDqluQjOUs4RYZa5P/DYYYk5hlqUL7CQSZTFBDSeNAbw7TLFdZ0nTUzPl3xWFbxNeh6B3UkadefoFhb0g9pH+fj91yCcLAoDkTnT6aCF7CxK5sbdN3szYPjgDogCa0pdwThqfIAnwHzS83p5b/byfe7COQS53AzjhymfCA/uiSnLKDdN3I+0PC3I0a0TNOd150a1EwKKOmYMa+4tqjcGYSb5nvrYJXhsVipUjAF41VP1xU662p3ec3wOm0Z9GgXv8vj0FZiN5vTu1sR/LSGqUIMDXcqIw6smJ9Sq/NFnkyGqrGj1jmQzoeJbM2qgYGMKBOVRF+oDMSwJmtdx4BDI0HLWU0NHJOMsVvmDUQzXkDEa+UHNGqaTZD9l5BjvHulJ0yNuUR8YYu4u4q7OYFb4K69DhlAyOP8kOeoLfz32+KvG4pjPIdDQ915/zLXbEyRaFi7ggS6MlbXijZdy9ZZ7MBER0zIwoRcxQpDRlsgMfqRCmURmHYYHoBbgUhNCkJPWjtZEkhNxUbXkrbhJOAKjBezd4e5a4aCJbcgn7IujbXXtGhd1dbHr6rZB4f+90v5Zv2CtyxfI6M1rGLDAJY+/7rg5O+L/0ccNlCsOvCefpSSZ4w83eDsOMfEpLhIcRdaSCVZDmJXgiiegMvDoNHyCI+ApAE7lV1zwFfaVT+/I2zJc6HD9eInkfSoLuF/D7aYHGj2Mi9bV/uepYv+hRbV4CexOA3/nQcIHLHzB/kbFTiJ+COezFef1f3yOjsW7wUAvr70YvGBF5v4klCFAIzF7Ynf1csmw/9NrZ1l+q6ULUA5MUzZbNy1XytNwcFg5VTtBQ1vrFI5xGIJyw7TzDJlD3r9WgMD2RwizVoZK96EvVh/qj4GCGlkV7ExOSrWFXQCmzkGWJ/TFvnVfVSbRXNm6peMzHcR7eOUyPhNUThe4veZg5/mMrgQJmKQ3jnJR7bXUrPOfiQ1S0U+PU9mvacbypiVjReiaBJgglzIbvNs5ygUAfQTHuev/vp9WBSymQrjM6MgarWwt0viBtilH+ktQu2UYUUSDKYrD6tdTUbn44yovZmzgzmW7LIXB/ayaEoqwO2efdnq//3r8Luc+rsGIw5oqJrptCOMF13Ad2eO+QUodt298OAd+W8ANIf4ZWC+32hLBoSvC+lSTHNqw4sgxgBJ8D+R2mRo77EU0ic7uoSpiz3LW/ONZIso7GWWuLG2ynI4cpWVnPFaRGAgpc6pDFl+2Cr8eYgTU8agFm6RQ6Bzcs7SsYN442y3og5kTZCi1m4ERh6wbInH9ilFxyBwajpqbiesHICHUg5yH0wql1hTGeQwMvxwYeXtnLqyvGMAVQ5q8K///xXeUAKRS4eVUhv81B1plJOOTXH6CC3JpF8qrexjrhnwSfOAISIcYaTfeXb7DrnlwLRMc2uj1mhsOt5+nNVkJvOIfjScKPcI/dlJLnz2OlvQ09NVoIxVhGlqAC5crMIRT2rerDvBL4YS4YM6/qdqp37pqONZtJO2F1mOhXyrJxC1Lf3GVB3+f2BpGn/shFxBjRt3ZsxW6baLwVPek+t/yF90IgYgM8fcRS/fzh5ULA+bV4Vo30rD0k6k/VfHBVLYS0eLi87RP5OyKNxsUwh807U8GfZiStYOaApzhwKVk7RtWK976hhZGxTCFrC61z/nYFvSh0Zewr9XAWJcCIYUMxTAFQVgjbkG6qV1ci+Zz8+wgxjzEl0Ee8tLma50VW6Z5CoWs+tRk05g/Rb7mj4Sx0Fhz3G37O9QrLKFNqrSize8Vg6gf+pPxCK+Bkx9XFRWBjtfV5hn5xM4CmE3/F7mzSQIh2/oA07CTzfgbacsGRMr4jELZYweBhX9eCl1xIqy+TGjG7NvC2xMw1cpAcxCBplOjjUsKGXG8aU6P/yMBjWf3h0NAGb42hDCS30M68vHPPyhCEGA/0X6nB0yHBT9kDGKHuS1gOdPBgdcD6/eDLJO0/VkEn5+3OgstBojz8NBptuzSfMIj+/VFW0JvlV8gJPCd/mG8vszFv38AjDSn7Asg2btFZh4tgRgrP84XCn9K/ToweltuaFMz/PE5Il9N3yDdcO2lN1kT9WOkC0xXWhxVJDE5AiMufnARESRoKfnOCXyGeCR+EnJswwnZvcbSBG1lNEltZa6kxVO/nQD0b/t9jZdeU6lGRVw6+ZAEtQ53+w0pyH+4uPcFLCGPnFqlHA4MrhVUiTy6A2h3MrKw6T3TdtlB1v5forOMECiZxVzLdMdrrVBIuc9f3tzVxAoKpvHjyQwPGfIXFP/Hr2vhIIx89508BPuxARHYyHveFZMQtwlyTbv5GHQN/SlHKSS3OV2OPmUNmXNFiev8wBtzR4Wdk0gLPvLzue4iOMMnoSVxM/nkPO7YFPapzpcxgkdNMynsc+5VcHQxNv2stlmJmOc2OSAWbGNNCj0NdFYp0qxZh6bPHHl/ho+WBrJh59IcEVLnYEBZ2BQexEfW8ixUs9ghv617/b+xe/LPuqTX/BqlrhxKn+JzyfP3vWAY6QlhEOZNYGIiTcGFbjS9JihaF3YhWbClge7sYBz5I03bEynp8e448BZG6YSCfSKwjE/c4CQBs/gL27baV6D4GKU9uKiKUi0c8vffz2TFEDO4NbrykgWVaNPI/H7radArsyTD0d8j26txOtHQDqxXq7iiq1jpgLIfEXyCTZ8HWUIToHcvntb9dD7nkmDWMkmPfZCqQw0x3I+l65mLIHzG1EuCn9cZNKOimHl/DwYW9VXyrjrpajpW97nqeKroeAKPJPWdi8QliL7IbqyKsCzNdDKeLt9GIJzcvIyP2PDBk8k6aovS0xQp51DAEmNunllvNfiUm96njF48RqF+n+hBIBJAWCRohOUXIAJ101m+982EfeMEr1WBVu3eymSPCZH9epyprL1wx2CaTqOUdp+MAh8hMwoDSeq+8yT7Nth3FEHtzY476wNlB9ow1E5V2LrjchazKkNf7/JxVbaufgOUyrzC4VOLVfM0djLn3wNR3zpUY/59RqhBQekm67GzwDUKimXSV+z/0Y/FxGWYzc0XIDc5Rze2XAMyPrX6s8OSUvdixwwHjz9zvNzT5IxWw4opBCmoPjXmg6MtL4hiBwF72JYLxG+PdcJj//TMYPUbvxhhl3sBYSiJIr1L/cbxn49GNW5zytgdBKjTndEeizS+lw8KIjxt4V+j3XOBjPfIzEOvDvqhLunQXofeobPjqHUd+PMhi2F2K96i/N/i+Q9hYguTjkkZXqMZze72ZcUWLkFG+4mCYnXUgYcRr5OJZhbHdv3FEbjsH8Z5PPKTVEOisXkjxlhv9oWWvlSvjpQjwXVpbZMBioaEqnlmAjerL/RsKVmz6StnqbqdbS+jtKawjrwYuqKmGSdAvifpyVV2mUFzmmqz6O71blSQ2jRi9iSxPrR0CyqqhBG15Xuii6eLWYrbzgL13TOKCxp8v9LJ39vCT6ZMEZ5jL9uTDmv2a10RV8uH96S31IwJzC5VpYbvHbz3lnm2DnHZsaiCT+Y4BniRz8RWWBLYwnpnmT3ABXvN7lZyrPsIAAsJLgkOXLktbC+oGbnotAMtcuSvKQrDNSv24ymh30yK6hKsMc2IU2ctxWhrjy+7mm2j2xK3SWvCAIHhrxslsLtvMUt5np/4ZNVeHOwe8ivBQsWFsblrTVk6EKyJArOxP4lLcH98BRIcvca/R4zVDGJmOG9LHHIBt28OD774I7Aexj+ogddzCF4eBmLxuUL0IYCJRKd6dq6rF/PUV4hrttvpRrY7MomDplu44HmLLxPiApwg2L2qo9ujW1gQmZoPM+tNOHmQGE4nUUNuEDArZJP4xepfG1HzFlSTxi0uKrutio3yAXePkHJeTEZgiR4HlGpa89cobYayOERLz/cDfA5DjpIAGuTcpmo64geWQKqbiRDDDe++bgKj4IodDZBg0leINPyJRAGhTOBrZJ42WQEHIbzPq8enY5lhdJrL+SHcWFq+v5beCGsKsPKK2HwKcauKG7YEfwt7o6+qTltqTTqVO3Hg7i71r4dEQlD4gl63O40u2z1EuFYct+85orpN4MrUXGmAwy5an6W3YLXQvx/G/PCbrVFSxQw/u+R2BV8zhY6EEUgk7TGRSbzvcWWqG3UReXlKr4SMmsmWs7UC7RQsWKYaAb/1bwC7d4YbU5MtXZgaa8v5VOw782KxIJ392pJzkpeSWISanKqR7sKXHBW1bI5gZAXr1QY6ifaABl4Ac3EuXA6GUZanwiBzaWNaxRk9DdKeiGUR/pUgA6fMRuQH2uMuSzVjq5aCQNJ4JIhCAB3FV+QM3ZjE2Nsx8W+A0ucXRDSTNoAeyz2I9J4t0Sax2xQPouaQIdysDRVog+bWDiS4+bqD4wGA1ZBozOH/MIPwt7oVJfeZJKkksm8x5nQsKZ4393oQ3enLQ339xbjwJLQwdpreCFEUj8eEWS0cYNdxJNKecOBhbkjXN52iTebeke0kxQI1i8d/kT9pSh/FqHD76dS/MHTyqT2xpSFUTX3KsYm+5dfHBajaE6isROBv1+SczaLgPFsi4DkCXxWShE5cFwthhOdmau7LmZFf4DaBY0WrWMLsQ8fb6vOer7HHsNnNS/X3YoLWpe5BONw+XSNd0JVaI6ScjO2ThHmZfrCm00sDKZ9ODDU3em9pp+F6YTW4AFyJkK4ACWrsEf6VdLt1kRIeh2JHK/qmITEcRvKl/UxZq/051dZTpskD8RvNRoXSCI5QUNLB+G5wc6QEvmE0BIKYuJH4pIBttn3evSLDbp1lY0QKbUzWW5cWkQ7a4itdKf2TtOEpzL3ebLU3tNzTlZMEi3RruP1uZSFZnohH1DRZZKCLKWCeU4pUibny+omowru5GcmOzxECU5QjjRfOflvdnRbEuyFmVGzqgvYDbPS/7w8XuAJIpMKW3X8XSmu3bBh8ua0fqW8HS2PDdVYuQY29sPzdRF4+ZKYj2ITeFhQSLOZa6O3TB4e4iq0PF9UI9U7lSrP3Ydf4GX7r+MsKLpqMIBrDnyAOSPJNIiBhyitfK01VLUXFhrtVShJsU0FpQHQnBcHvZrlDFARMx02ctiimHgaj/9fkdgnH4LxO9+EH+zD+xtYAZd8PmfElBzsMZE7foIVFpFLbmZ80u5T6b6wsqo/Jq2kQ/WkXls2IB59TJ9I23lBikL1pZZ6HKQI3OE1OptdLgCc4xVme3KwSwqgFcFtaikYdga/N6uGIEX/Hjnto8qljOmUmtfBM91PTnboPC9J6BxYfb1sJ8eq7r4ZdDBQPqR3yrLGlpnga1u1UWT2LONtW/DB8JhnvrBzRRAJZMzCvXka/eKNLI4XzoNFfUj/bGGOC5QBl58J9QTeyxGUBPlvapOo+9aGa9AifMq4EN9m1rsOWBiFVO6M8rggH1ceBWjcTtEhKySbxQjKmhazEvfMmH5JCSJUgycWUKK62dkD1NOs4h3JLrVSMCCv+WfkzJ/+OaaiZ2Wdhf3wJo8MkoJoxv0eBXTLsm5FnrMcGyAZnczaQRE+p0B6xa2ZHzMgTI4c46c18po7cagyORJAovSOFXg2rHsGH3y9uAk/ZxLT5pUjyrcFNEWwJYjcQnzPnR3dMuIG7DlB+krh4MyYVBcUQB8GqCeleDbPbns1nm5YJ6oZAlG2JuozjQzhfxRs7HnKAF3IjTmTx3pCpvodZRZ7IgEkQ4lf152eWwEAuDtWU9EN4x7/xZCdmJv1SvnIMlQazsyC5Ye6LGS6GSzFDi/CqTbmXHh8nduocBVtKuF1qTr6PsAUqmyu1AW+5qjzYOlbpZ9zR301P9TxsCCEntnsF/Zp1lpRwus6XWCVZfmWlipmnGpsn42myXZAizyfACndfOW0l2sjHUsw1KHeC60mOgyxPZIyYXY/KUG8KyBZh/Vlp+EwwonPXdyHu3L5zJ5WmQJcZOlzQgOsw1KtXmnmQMBShyDbfkKHeKtck9reazY+EDsXFIQKaX8lE1ZHZBOuUKTw4FFqKMCZ3Sz24GpkIhcmmNe1pu0f9n5vHNVziLYRayQZM+9Y5gDLyeIwGjv4MX4wTs3R/gmhaKtu/n9ZK40/IlE+/1G3kSH1scV/hxBpUsYZjHOpQMMe4wDL5hcAOQ1bZGf2xvE48066VY8Sy94mJfWX1/nBvxsIRAqCjR1Rpjff0pViqDLkJplAWYfnvYiqbwsph8o2Sh6lHFybl8z9s0W/CvH9cnuUCT0M3lhFUc/UQjqYm55uHlG9rIy6GU6zhQe6Em8Ev/xt3hMBEGVhAap7U/rTfcBwKaRjmSqgGBrUBFDLd90GSvy4oymf267BkpVne1PLpXa0D/NzYbbHgzBjrLc7T+fFsVVZh89zPKeRpPBOwQWRAYM7N+zKzPkImsSMZikSjsJEoO7VGqGu9en4jOCos3MUYnzF8jiK0DqmIpFFywGPGoq2ivVFlyNyAEFF5I9mulnyeJlWfya/IFww90hpGsh1Tnc1Fb3uC92TU3Slr5rjpUo+kxPuEdwJr6z7vK7iQKLkphh2kkNWkzYLAcpO+ktL0sA62ZppMbVnmBiUSffVF8Xf1YUJrdJ9phC2f0VO8BQmhTULR8xgfLJlOMxA3GYAq3B7nmOjwzYBB+lGbdK4QuzqB11kKkRYtdFxNDJvFLNRmcEwgQJbIMEOr5mvkAkzDR9cjLDYxI2GrBVHpY/k9LKYX6JQlGz9j9MlDp3bS/f27q6p7uYq533XNNcWzwoCVGDj/Gv2Lpn8idSacxAn+pssu5Ag3c2EsZGaz90dNPDoNcpMDl8qOZwRXkYGz09CLOWhhjL1cCB84AdEP0rtWd/79L/UzMXqVY6kpsfOnRKZn7JGkyIWayCFs6Bk1X6USQ5KFCPF2nEdMsLxa82a6DkUWegIT+PXc8f8Jc9Bkh8rxUxF48Xwv9ukS90lePcwJPMJ2RV3fvO2wy66s4vEroH0AVOPjZcVopPcsaaNA0hjfAM2RyqJg5MhjhSrZIijNA8LJCdSRPvBK68ThmOuoDKSyPJIP03V2nBY5PAAewTHVLxGmo7FEG3zQNp205putEsPg38bFWqGyCxv/1ueDDJJu1em5aAPLZV1lQG3A9OMu/QHf4p6gHGsWBZDcc4om+XZATGKESRuDpMQzG9hkadgmuXSWhWHape63ZcR90AdQrz47LtFGaE8bGL2FCHGPv6A/nr85pHm6H2EvfcHM1M3I2s74B0Qwt6YvLkxXywyOrIoI5hXC4Nyv+mT+dCY7yAQbjGsKh6/QkRC9BLTSbppypaKh8M0s/Mlr5S8eNIE6+YubO3ySvGSs0/ThyU3+lZuWv/yN1FV4Dfw2h4ubgGRMqw/2sdlSFIKBIzaoJUqc4yN3HJMdaLGQWi2VZuVk7LoynBM2zGcofMjO3tfQ9oWfMMVhp7sCE2wJunTE6prJiOocjOWkax4sW+kuy9dcv62sTsUGwbQ6d5x7fFLwWPwYa1V3gtShD2vlyzyFAzZSCcv9jvWnDJZDy93b2Gt1KxlI+DpuFmKednLZdfPNaq01V4OnWcNnU8aVQXESnC2Kb0bH3WNoUg6FB/iQP6mP1dvExZtN+IemmyC07zyK62gKQVp8D+A9FJ394yHVeVJ+V0RWdUIF+UdeU3vsDokawU7bs5AhTOPWRyBfAGtzT7tDXltYV9WE5mmXXJuYSqoDnzOFKq+8QfbihUYPJ1O90bVqvhgXXgQRpcdylBKKr+bafUsYrlcIS3i2xMUEf2YGLnhs/mN8saYAetHIVRh8AI4mrUmK7shCkApvmzC3Cc9TdiFPUn7mx1CZ5vXQ967A1GsH03Tj3cUSNz6BPnL21W46VJJSifVikxO7yB20/p4/1u9CM5HtAq6cbbWPh0ijzRMbgkrNhd3gCdfvuKAIhW8FO6NIucR1Shq+6L2Jhbp7Qwp4oWTs5WnmrgdbMopEEc3p/d7MmE8NQ5awwvep3DtmN4J+a2ajyMxjgV7MmaWbzdwdGs1IEaliOn0AW+L5tl1gkPv6fpxWFope9xIhBLg5g8aa55DQ7+z9PFZ13FDPBL5RPfAtlkWIlP61hSJg7H91zxNxtKCx/c3483eIO6v6tOgNNU8Il06vfnsqyDzZgcml+YY8n6UhJz1u+Q4wiFXoPVU4qKEJxkBlp6DjklYZMM4otqhrYcGJ41c6OCL75DoiDy1a8VlQCleReWmfopjvbcnZaCRR6LVKYC6sMftMcbu4Sf2H3JW7z0Kf7tpkLpGVoMTAcrgmNdbyhiwHRuUt5yY7m8kw4ueKmw8No+lanL/NsL/miHyepEspfYa4eA21zwLUO7jQZGLZOXlyF5hjhM8f+qwGFUE1HLY7ZeMUbWIN19T7Wjz5g4TWtDhsemykeagXC/e6KjnBu08/g/Fz5cC5k3j8QR/x2aKuj5EVlH3ha3jVJgdJOpz3UCEXSBkkcgbB4Mnr93P4rFYQLJwYlFJ9NCmYL6DqBXWCKDRWuQzCXsi8UdfkWeD/mJ8ahvbd8o1O+GGQSE1Z9MTho8o8acTa66lpJ7LtglmQzzG73cnK7DL7LS/YiD3GFFgJNQyiPnU21A65y1rQGGyqmKN7n8yjEJgUgmKQv6O6OmnqgYk88PX0jRNwjNBg36i+dLXgmbwKRqxWuOPKpYSqs6UW1PysnQJ9ADFeOlqoIVUqL/ItPlwkZ2lygu28KT676nqp3N6LEfZhVz7pwUrb0DFUXy1weGzDaj+t2E4INFCv1xn43g5esU0nbKig2u/TE7BsenwdKfl5aUP7kLveR0FXf82+w0IGJMuTWND5zzFUuQNpZk41D/XUeDlfcfXKKZCtRw+zJFUY/mNG5ArRB4eWdIKy0m38gMB1Dzy0w7iUs1gXQ5gbGzsI4+AipbUAuGnJgjdGcT0/AtTvzt23hGezFOakym3YpWGU5cX6ygY10NYszvQm0jYYviTMLoIggTvQJPh1SUCXzzqJdDeeS4QolCXbIVrC+Rrr8Bp20sPSyjnvyFers2lrqH70n0GdkpEQ5fMIZVnFvj1in7i3sWMmlCyBzBJ+0ITyKaWIvA3qxISiMHu3JegG6MOZn1K7FE3w0VmIVErWmVfJlCtlfDHCc2ITb194NOuAmxrWXzoPv1AHJaPddEUDx9aQ5fcFc9/4p0LDkticuC91JOQ3ZWeW1yT5Da7ucZU+plIQYSfGqKXv/TAtxdNVP/fJ5gZvRb1+A9vhuTmpqT9vO8YPbqTNEotjZuFZTG+X/nqtmFOVv1CBug9aCjXoXz+KT+Jp+twWyPTjq7ImkD5+dE5aV0egzAcYuU869lauuzH/Py5wR0+7TKU/HNpZiUtj9eTIV61ODIvg45TJop33mXlzGY8HtrzfQ1r4wvP+PUcEymSaV5b2FmstPVrhjrPiQWSap8Pbb9jhxJjfmRd6Pp3Cyszs6x85CsPRe/TBc0dmvVZcYu49KxS6qYRecGSrSnRf5zIMPEZH078YVbNOhY83rw1ntKtBpZ3Qld0vhF1VZb2GM8Ivp3Rnr7HOtXmXyectKGVA2tyQoUNtf2AP8UNAm9psEA2G5+n9UdR/kCz1yFEqkoO5178rzb3ouD+UDsl0ve64fkCMsSm+IdzAVZloptMBWWZR5CQ+E3pJ0OSTfP0Neesn0r2rRGkpBoWdWfi3VyS692hJcMrxO/g07wuYCM2S0Yq3/+hfsznXI+vq4CHzfqYO33Z/g3Gq3xWL+X38I1FXJQFYo4Z/g4h5lE/Ww4a8t7MdzNKEOv3CI8t9TXIm3VfD9tqyCBbaI4J4m26ddzndgAOBJ6X5GdtoNnmCrcjsntyNmPLvPIZM6EC5tm0/YuSFXoBzF4fd3o3rWEgtVVt8o1kiRZiEFwc0conviLeHC0B+sZmubj52loZ2Knz1tMaVnWnoH276LR8SoZR5VJNoc+6on0yc/gvnRl0865j4veMYZ0oXX8xtnOUV6Z4Mo+CbDH27jwbp08sQ+cpYpz1noPkEeTcKAybof6sIKABO3h0FvZxY8tk4BBACqNkOvMibPc3girTa9PeOpf/siFLAWepJ4V7iK7chwVfbjRKW7rRtUAi9AGi6/qaa5Bl2YGH5/WdnwvGV0Yf40DOEsM5TuD0QE6cXDlAeIbBPXrdcPmUku4fQhe1ZdP5jKaN5Q/FkJ2Ir8NnqjrWqEhylSmIv4+sh25uEMzr8r9OtG5LvtNsIFCry0AE8blkUDUgNl9BUB4RI8QiE4kuEjI7+xpN9YJgxEWO7Ycj69lNkNZ5B70IbhZTt5/5kBSaNuutvNmEwM7v5esWh1WhoGBOSh11GGwWKgkKTsEjI77UjqLmgMpQ/8WFcl+7S4qgTBDdFbfMorpqvj1wKPh01J9Dnz9MOMg/AZNk2vW5x+YztnnCcLplURL1wbxHBJLP9ljp/CMU4CBnOxCaVXpTwyqE179Yn3/K9Cyyi3TVj6yXYiUlHe7J+irs3Kjhuq+zfjVXz1vbzKBIjUiMw0Pa/a39dlDku7u4CJY0Sh0tqYgoxX4tklu7UPnL5v3jDEFrPZ0VwZq9UB6pSFZV5pDIwZBnE2w+s3UovjAoJtRcdeDr97JL/iocVO5/hFWAAY+XW+um6BioDX+se4wXVv+ML9Ue0c2q2cIfKJWTzKaaKTjTXZqtKAnBo+KlWCRiEmBXHGZokzrXy93E4ocf3FD/YsUzsSoKO+OaYdu/hU7laqL1E/SwOyi7X+iqXTpAgUb7u7QT+oSBU+ptn55ucz4VDCSmLz7hpYkld+ZwhLPiOPxhPeiRUXkQKSCo+NB6zojbC4sdYK8KeD2b7pRgF9foainVBxyYw97ykcIcURh6gn8VEmgYLA8h1gcbMIz24Q/2MDGZqtKrgoppqm8nk4Hu4ih4wIn/UM30fc9CTO9Orjjk+poCm3tnC0QNtvmvQpe5raxEfmzZSz0ne68j5v4PHlBRfHRS+O2AC7bG9yvEnNPspIk+Wj62pmiF34zUgDfsPvyKAiXhVGks8RGDN9p29TNR2K8gI7eSzCtoycAjmBEJaL6ZCBsf7IsgcXF0l4W9kqFlrUfyNuGdFj/GPPyRqB45NQCRK2vebW4MhHEFX9U9e/4tGzlq8OJJ+cQ4MRLtGvIktXZJuCZywHBMfifnBPimyzQ6k+RzHetm2o3eLiPGDC4kgaT89VZlUANGg1TxJdo1cdjhwde4n8U15uN0ETBYMeIE23b1TQbeZuRkGdj/T5Pxhg/PYKcTzbqtEOntmAXZoRs/1j6rjebMPgb8R04NtElx+DgdcyQ42Ju7jIqHYcedwoOpXVD29K9ge+V0czU0eVzVEA82hUflkQfjTf6uZ8pBKmYeYhB0QO/LSLOvuy8bxLVTO+ucLNImGKr9mWZzLdBlJRUkL8Z1BfFEGnlkcS7B14CkiW1LslGERaO1NHykxR6xd/xWRigWKixbF5tvQZ6nERXC37xUvLdsTPh+MdfL0x2hiBb7HbMc7pjrmHTlZK5pK8lCusOJ8VjHETrPkrRuT+7aF33BLIR5vy0UVWA+ieKVDxz0FqdGxT7VzUbaLBiJjrp0ZqjInY7Ee+/T0ulp7ZIh4kYfoyA72xpTGSUaVhPWpbblMlGiYNtmTNJEN0sCQGUYxsB9v0J+YHbssdqSOMsJXmWmZUU3WMHN2c5h1ALOlf2uhR04Ui9or9WLc5XLxiFQK+Ek6thwDFo/LN3WdA1SU3R87zsF23+5GHo1US95ZmNYcvAvHI2AMROAkqCBBMLJQFIFnq9+Tf308ZXeuBN+4tHcVjCv4ZCF7bMLnQi/FJbN0BsuicrtgJp9wWCZNobsWi0YVIwtuHJVfan2jySDUUrkpAVBZ5mc5ivv5x9S8CLiJI3GoAMTFn/sONegA0bpMcthcNb3FMbCbTuwzlM91AREN01EUqTDTD262dBVBeR6b4MWx2bUKitP+HL1Mg9Bg0l0BQp6OWsln4QjKJD93mhWZnzLAtXqJa2HOTGzrCtHciSp72KeBy2Pyt9b9llozoSRwIEWbgeq9d4lDpYnymD6xoHcIEabJpICOmzxdkzcgLgu6mMoOGAkCvkOteUTLTTU37fk1xNaeoWFacviEfInHIdCazHP4BzfFYJsu7/oZ9Ocze4sPATdXktTI3I35xBhA76/aFcot0Yl8MeA3rfnE8LZcqpoEoddZLMu/UGp8ktUSQNxeR/UBIYyVQZ+Pv7If/8CPn0alNVpapE35oZlH8GqbzkuRlz/7eCZFJMNT/UciTwVKU1XYlg0UDpEj9pHo06+8GlWldG3X0elRGLBoCYTQWjvlq5ZbwBFXWxmdE5iAN2C5S4j2h5BWRcbs+cze5lEgpi5idyJbqhCx+bT8y02JYlVc3+91v+HbnLgX1V4+YWTL1+3KIpZtFwHcs/KuLN+1C70IyWn8dsjAhkzp+N5og1lu2/owslVrcD2Ec0ZEmAYq4AejTV4kI9d/bRmcOPrHCyNzpHVilNtIoFByvdxRUT6QkKNTUdF85ZNRpUDF2/fGaENDoFZyInghdY8BY6pRXbDDZvZG0TezpsaMz5WgXdONmPokMVU+WTumgCgA4fqm2kiaekF20sAtLpqNHKVKMNvUC3vFNfvp/DtOGtAnR+UDh+wyjhrViG7lg8tlapRQ6h7m4EjfDNlpC12sGXFCmexFbcOw6/Anb6Xkil1Iw+TNyFuUDCz8tO1CSFGjCCDIB5p7IQdOoa/ojmfUFid8UvmAwQjuClwYsAXcr2NZfvxzXSXxqaBSasctaQScL5bgsBcL9sl6s1zQSPOsDAnN6CALfD0VuYLqJ6i+EE34uhb8HRt5LhpOXR8nBI6I7bAytFT5EW5wG6KHUgT3ILThNhGecIN69/L469FM2xA7rCNs5CTb2lELmtuBxBpFg4oxVFSL1hyeMY36tnz1CPfQC08/XWxf36WPNmKc4KEzC7JM/dF452DwxssJL06M/Winv6z0NlMZrfqjL2R7KYXbMxUc8DvEpCFFqfTsZ9xoXeCB3sVNFP/HwQiuevJhfFknBGmT2gW0JHIzlT+bOblabPILZhPxd/IhJO11Dk1tF2a5iAl6OOQtrVNLdKm54Gy3kGNFttBlhKEszwm8FYLu6eR4YstU5QLte43UaVa+vq35fttFoI3kE11sfq8QlqqaLT/5qTFx53PbUU+23hcFtjjyHWBQjt3iq6OhXZWH6kJvax/33fx+8LQaaesqvtPDTrNd2lz2R7cHSBm+zceKL/aWXkEazWAgxmjaSI56/ZBPSMZU1G5EteQf/LZ4Q6woGX262+uHExbiELvAdAuUpNUBxUj3WN58zkfOrbtRX6gDfeNRE9NRZHt4tlEoxroDsL72WHuHz4D9iTsrCaeVwSjeefdlqKlv45V2YokZbabMhfZSMLWL1SiBTYmTv8PCL1r722MV6umDfb2bReluAFvEqN30rMzAeSpE8L1MwcV/xX2qYT8T1lfpMhtZ0DcGQtFND9AFswQfabN3pTrma0IHZaQL5qqrRqwGTMua+aJr1oOoI/63bceIlpp5DVbhDTqDA0riqOfZIpfHijfwcSylBUL3wqIGvda0dwJ6KPWGbfsYVZ2rj+mFCURlKRJ33P4iH7JalpaDJvTgxVUYhR6xeSnKT6+0E7RU5q6Zrrz12rt07Nbur0P/2MfjcwAzUzIo7JfykfEpdLLQCrE+78If1Tzb4CaQeaAt1YQMzRbclzStKfGLh6cW+tTHvuGk8igMIlzfkbbDdzKZ8ewvPbvc/KlDUNRCPI3nBA3je1s8jZlAdmcxTJWCIWhoQUNbzm986LDcFZfe7BAjpmn32k0JRCvFyqPDhF2EEt4inRdtpfYE+dPdxxQqXSlDpWgjmhB50zePAlN/jb5z2073Djv53NNYURge374zs3pf75RuGNOynnKvfq7V6M6zagY3bLYbd7Y7SoNlBgEaLJV5QZTYNVG7W4kkcM5qitUHAyrT0bJjQ1ZlpW7+ex/ESTQyGP+N0KSMCUc/0UeUfdr13RPxV2HjQzs+FmqEGX5zA4AloK6hy/bsFpmcmMsG3qPVsvL+NOajuEwnyZNa5XAXeHMEakexHPNRJObwIg6AEPnBdvMYDMdftOiG/Sv0B9ruUgCn6nsC6JwTRcQswDDGTXlgm8+akYWAjjAnvyNHmbPJmA2fvmcHjba51gk1uYk7C5Dt72NmZI3SHgekmOigktIAvcS34AZ0jQFr7Z/jLDx0svLF+OISK0GzSwL/wYi/NFW/SKZh0rRka6ME/zIt9f43o1n6L3kb3aUqPv8Ak73eYTBZdo2h55s8tn+syKyhOh6T1MWv3SfvrDPiDQPNKJGlV+So74siylhZqWcbdB52KveB0+GNWvDmjoOvvgA+9AXh+2PckY+G0aCLGTA/z5oQzJOg8P/wNfxsWdlfkQOyE+NnIjwoAzCw18EFqNXAim/j+9fiv2ACn4bJDENjVCU+iTAimQXJ+ESayjjHsnmOlIxK3uvHOu0EjmwJuEsdnWjTp9hRs8BrTgfLoS2WqWV/Ljb6q1xF1Tozm/5+ZnkzrTUwdvprBJ+NYHV43L2y+m/3o71ekdNFVE5pv0d9B4hq2Ym+XoS4/DmiOHy1MUOGiaSGuI+y7urMvFPl3zVZjg9Mr+QxyvskIocpWAr35Ozk6LUllPnSgKrvvmN+B3TWP/NcB6gLkEvPQRSaYcD9M5Ho1+SDWMoLDAfSPyfYuKxk+kjsTOo4eFJvOSGrtuPwVNk/VZjVmZ5eFD7UrPyo+rV8Wf4UChpIwDWFtFIqx60j/YA4WWR7bgqn0Oi1M1fpKk27NxBE4j7piTObHjDVz6ogutwOGmT4tNxOSTP2ico5BeqwpQfsQC4kosWKAF4pN6deGmc6gmimv9JLIMAbACv1z4sjmVIcwJAJF1YqgL5WKdx5VLVs5LDvuBIEQOzRwySq3B6hBGx45WiVJ0vXidC6/sy+WGEURGgnuDaUmfDg3CGfE3nlNCLWrHFptTCZFqepwFSPc8Ccl19CpAsONU/IuVIoMdBjZi5PmMHh0aKl9hTcq5T+B+8SPcdb3+Mgobtv7YaHvtrvBR9x0roH8UJXe4F/xYawJuzKlJtUt53V92LJVaBObDYYfQG8jbulQPdmLBQ1m4E/cAih5Gpzn/RpdA2A5zH1RmpoXamwAYpVQBf/G40w18HhCg/+WnwJy0B1ZZJTV1E+Q0uay9SD8Khg4tXxCDlITjX0o189DiUPm2FZdEVCeT9gM2cAQcOiSjhGuqWYOB0NabXTfiU8ot2y8VJ2vEL+UG30xn1Z9HgD/mNPCcH866kFgQC0FLyA1PBDJJ7ENh030tycJs2EXbEzrQW1pV8QiTlseknoDVhAvfR/4vqutPBAJv5lvgmsnheD9fvQgKo79RtXm/m/3vUHdCtdP01iQuho0qVy59HHOa6PFMnoyeN0TdC0oud+132M8PVY3E6QVRoTzvkxqEtrX4bxkQzgOp01WXDbcWordLGArU2hh9uerFosgWhLr7uiIA7OQ1lram6uFw34oLtyhD2OD4m46n7zI5yNANAJCE9ogNuraw+dBDEvXtZuzznXnQa39Fq7Y+EpmFpmszyPZInxvVVr0pyw5szUxSY/jhxe4/myqLfUugINof864n0NdvSPTLyV2Jj5A7J++Jht5w2DtJ8/U2WxaPaS/AzLM9zaI7EDAZSMWSmgPpNoOo64n3peKCd4SCWK1gcxxg+muKmClOtYTpTYWLVuNcoMU4q/PV35UsJqU0usxrwguaVKFXnqZ3aJYaL38igYRLAyPjIXfaTokkF79H0j1LKX5ZvwZh2x+A6rfrAgsMguNDhXQ5ffjtHSIJjDsRY0YpAV3V/Nr5t87bmeWlhqHar1jVQUis9C+yevm/VPaO18JpoyNbBpkrtfG2Fh+sT4LbmseQbqzlLbuZDEJrTb9w+4W4HvYPV+iAc7gy+PLOCuC12c0Hrk1sTXK/Eog93UucGNFwxxJIftzneCeaVFWOarsXFtqvEy1bDjg6p6qUxEtKq/aRH75B+ah4RDVE9fEwbg677uU3xke3OwMgj+9gU7CEp9Cj1wFFkaXldjXeRfm3gmsXh/+7Wcc6/ocyqSuXUCH6UQ0xYtMIB0tX8AOYt+bYaOolj4oECduIdphS0AGIu30SEAw9eTCm5ldU1yWq0XGPftlNkdzHJ50/RGACZwNl2SHY3L7PUgx1XeubaRqQFkqtDkGNtD/PpKM9xtp8blKhtdeOsBzDnZ2opK7O2EC5YSu3MspnT1x8b79zFFeCoQ84y9wfMgTTbxc3XsLZcdrQqtAaDsOVZyKo8vobkqbOB0N4SR17a+o8I15wR+ZgCOWTZVURT2/07NsWMRTEZtnl9TmUjqeuayb/chelUzvvUK2T75PgwMH+V1O8g9bEGru1c6YlUqt79K7yQvQRet6YWG/p46jpV08gQDy40YbHh+1PaMVSbxUKKoJz2Qsh7xQnr2E7qoOuCvUSwxe4Smr2eE9xK9prGTxm7AoHWjQ2IbXhSw10kXUYRjC1ADV9vu21M21j9PRHfZxAb75cxr6IERAaqWGckIYSzlzG8NUPJ25vGFzKpkeOX5ImJl8lWAjCRie7N1wqiJhFotjOssXC+leLWxQDSMdvk2HJ10MPK+nb4cvRMfGF5LaVgYSKNlNEjeXcSNIPL0Gge1krSYUf7KJRRpgtWt03rHkc+pF+1qDzCoXolfcu9SosMurJVYqecPknqBKjyqgm+psID1TFnyNZBMAIvqLan9+Lb2XcVZNxhbooU6VJSnBXvQnpjZ2xuFQmIJ6S/ou1nvkGjE5EKy9KWH+RJQ5eTIc3ExlTbLw9hoJRnVSe6BLiOPUt9G09eH1K3biC9uIeUe3NTRArDLT/NzLLjiulMafLPp2N9taHKpbpW1OAUXXdtUYibjep7W0EJlVLM+uKpkqt2LnPrLurg1lHmX75hOq6/VQcyX/xl0PjZwhSuJk3zCoP3gObXRUPZCjuh5RG/x/MRuCrNo61bU4VKza1laqRaHB7afEVqQ8gPPmT/HCQpHDSLRFe0DxDgXKLs/T1vGgoYNfBEzrlowDmh2Y0HXF8ndGZLa0AuKOmvlq0yecKwvCu9GC2PvYcRXxr7nMReIUfKDAD6d0nLpUH8qg+sqGNKC1vPQGNw8eL9g0wP9QyY90gvKXZhtmoJkrP+5/appTLObVY0sNAjnSbLazbUVGlbI5AXwqbg+BF6tiyffLI8PCxaPx3OW1swGhHUFvml6sfLgC+rBpyAYnGv8yB8wrzw0Ypgx4MXAu8hSw/srFj8TkxjiYdFAPPo4RGdlYm2T6DE2MJhQgVkw9rtgKiiIKtU8v2PpKE6mjAn+dAXulOuaL4o79CvBXgjBjx0QmSuEPRUZ28FO5se/frYwktrHous6bDhiwonkJ88T+YwXpDPMCj3vnqrkFt1Ik/hlzjlnLgq1A2n1+mwxHTaQM4OZsp8vYJIv2Qr5F6JE7/poyb0Jq0vBVOdtG2+8s1S4TynPpBiI6ZwrHeWtyY2gD7Ff+X+DATLTb/iR+JZkQG+95ufQDhTb+N3ExummDj6D3f2yFUqfZLO1ElSxmf7rucY7kYIazps1/O/qi6HuqgvP327Vqf49jXNpn296fPr10Hu+dk+e4H1FbWpnqvrQ1uaghTDY61RvavDGOjPQ6LYdr0mibVqqKfxIa4AnXEGOZL7YywxewYZV0aYvqGj2mKLdsqYjcuwl/+Lk7FOSP/G3oZHfDU58BaCDtpfT/lTHWZeTO/3tm1qs5E1HzijoR9bYsvQrhrlRX8WaKnhDPJtn86al+lPCg/o8Wbev0rVuFUi0Y36m5zr9+L/5qVN07ZNWcbY9+n5UeEdPsImsCRo+t4aY0rHtGUxmWqOdgQSzIV+dfdFy75LVzENtrKihhWdJIkLHO8A1aYEocrwfswoBMfFdUsL3HeM7NqVKH3uM9LJr8mrqfSG2FTYl8gY1WukIGagKYJUMTsTO6804fpthPoSrSvhEJtUpmCPbR8exjAmVj0flXKlVhBtDBJwhLYzjQOq8Pdw+U1fNxoy0lU1gW2iF20IsSpIy0uta4ItoztCod9hBapqWqo8OcP4hh0F/g441FZKWwN8EuA0SdOGRpjDrqCTojxfwJZZHl+1Ep5oesioEyedABMXjhBkmgUybOaRWbybV/QICwBhuYh/h/moWCR+C30yxP0g1L7OIdCYjy71w9NamKabUp4+cqV23wpn3wyp1s3/bIGM00Pa+wvD68RPBcWzDnWxjkPTlwYeBuoqy6MnU3GK3ww9DXPZoo268mv3l7xvHF2iO46LSAx0DeT3BpEWDA+KZPSgJzh1epNSIU+bccerd2FWFMJO/qJV4kCvYfaG7duZ081Hac39aUKA7l8Pt4w9LOLBoWPqswmDbfZwbiosAv8kAPKiBrO9l1yCSToH97lEiLPdZ7p4GkSar8XlNv+FZih2jpXusPswRWKGv6S/JxPLXOydNBFId2yxo5vJrJjRbf/R0JSOMf3JnDI8P1Ih/wd3J7kH63/a6XKGBriuhZF5lg5fYA/chlVNvKNyBw9bIDBAX1ZUI102UYJcCw/o5cQ39L3KiLXCPBljI3OslapfMfEEeJPghsOmiZOUNH9NB+VbOsnrgqBZ1t6I3GccdeZ+IorLQKzLHcLukJGZSCKzWHtTRfzeDRPmcJlAmalVd2dD6IAxgSCC4M82OAISxZPh9mPWM1bXlxv/w0QEYXSeyL/4LqSfIsm7g50emkvPEaCQJeHS6FZUIYqK2OGunGJYZtPN9kcn0kadP/q83zmwMh1RtlGE6UmxUahesAJ6eSxXl+5zM8EHa2cJZ87s6jZyecwOYTdmIEsMhzv+wtxJ6kYgvtVBD6vgmBsVQrKVbio49fSEPv/uXQsMywrjgj2jKQ8ZCuKZW1vmS3o+eRUyBuvLRTpKUZzwZ4pmlDuadcISOCDsRgLV7STTWA7D7+lGxEB27C/UfkskpBvaJqB2ToM53LvkDD2faR+bVuCI7IvL/CGWF3Qa0x58j+rlqLEduCSuVb1nCms27emHvhecW+xEaW8bTXV6xJKIjAsKNmfdKaz+PNU+4jRFWj/YkkcAcotL/vMbpgw5mKTzw3jgatMpvclVrv375LiPomuJs421vN8MWv4QTxV4RPXeVZ9OOKq8wFCqyXH1rB37Y0IbUztjGWCckiMewecVEDkr/gYa8oirvCooBFAg+24gKZ6NZ8Cr9e3YXranMHAu/VRP/iYGcQfAIa1cjizCtMtfvs8WqFtit5ePYQjIAaOCunqtAi4f4aTVIL+aTuHmevHCkHVboeaEib9f4dOZ+8mgL4W/a0erCHkIUiDH/+wGKODzLC3LwCPLapyZOyUefAd8xXpvqCyTQOPyUpQ7McjE2Veuxy/eH2U+D6iqiL7GlrCpTfk7XYiCbo2ziSV5YWLS39UHo3fS+BRDDJrUAmO5+qMMLpZlmQgIILbWTCaP02XNHTlRj23WRNFiqJF8yvXTRizgCit3/pkJvUWoWzkLR07fJFafBmFF2vZQivvAs3yUGER1VD1vlEujnqSY/A71WFtlyvUCrB1alBUopUP8WoFDsdK9w84TBZJfpxZ37kE+1RsUwYbBA6fsL6eawvpVZ1hgdvsNOkZogAWijut+0Y2MFxiSY4bCJ4KEOQQAuFn7qZYVIxskBdQSYZESs7v7tHMTGYGfzps+jnP1IND9Tyl5uNfGWeILlxsfDKE30JgniUr8CyivNh+zirxdCoMtmkWe5KKXb+1wG+0s4XX5wDdCCarY0rI8B4rHedI2bANUjEaAzhucHnKhL1SgLkP1IILtxG0MnpGa6TvKQjzwcWEZQKvk+O9h4DpdzEPoDcB92xwgoupZAO3oT5dncOZriS1wRUaGBI/kbY9Uf2liauTORTo5r1WdIeXYtTJ40pfTmK+iGVfb9n1MsqiSlMiOvc0/WV4J+RyV24uT82d3yYpEyJrl/zsqVFGSKDIa1kXPELNrziPPyNOpbJnScE7CR/HctP8Bze6k4cwNOCtrhRMMr3wzdVBTJthPFq/4VD1NU7w7+jQDprzhLBrtkqyYv6jeYjd3UvTsIl3wF/uKorTNftQm3W4LW2j63r+M04UniWKzKl+Kglv6juA3xkgss6BfuTAIMsIxasWsc5/SXyxFCNF+AiNomAwWAg7Xe6cxhEyOANV5kx3cnq/2OkwqskmznE7/qDykh5ymNBHIrl5HMqFa+TYqq9tvO426sNQAXuObHr5xQ6pWKSorQBe1RsUpj9QMVyMifrKHA9DWbZLc8GQN8QycIj4pgrQh7dcw1JlzNIcxo9N1+2+2+f0ToMg1FxscXA+cUsuCtpvta9UfilH/Fr9Gx0WbZuW8R4zlnsUsyJgknh0v5Yh8N42tGKRky8fNBHHfWi85LCqL3C5A0gPFv+JFXvhwVJIS9xdjiYNsN1SC9mlnKuixRIGk61cHjPf6wPVjAqRaKUe6u/6JbBttdnNwwZGc87C+aynMaa0DNzHBiK1Mt9i38nueBPD2ChWaIQ1VQKeW39zgQ1XBgd2tpQE950XGqyVR0jihf4zNwDXcEKlEwrZwh1yKvgI0JRC2upxdsh4JfzklsG431kJa/UxrDXx2Sp0cy4IploeVN1oqeM9lDFdrdFodQVmd9iJA9MMQ2joiiPz7lTAtm9Bwb4SaFTGx1dp+Z0BFWNSSrWYztkVD1JJTZQa3fhOwDuIex4QpRHQeuDc3HE4PCjoA4an9dXjhIan0eVZrnko0qvaGSzbgLBmeus9LDMoouv1mJfaUBKR1pi3jQzhaqSA1e4Mg2EOIJsKdsQN0vW+hxqFsn6wsBnBsB1QqXbW2ljIIflmBmbEAN13rPxBAZ8FTSeP3gd2cnnAVSpgLjWnNeASx7gbSK0Tw0dwWifb6xdlBPdvzMn4Z8m+vDbsrJexVG45BuNv4ivcLn78MfpeRnOuOIhbhPy5wkaCIBkCNglIKqzV1ICz3decCce8geLW2mJUX0hAw7t4whnKpx5i1nIzpucyXGMojq9RPlpOwFuH1os79GMgiAo7RQ21uX6KQKQ/3V7inGs5NZ8CzFOgyQey1VZFjRbTKJranbvbLjI3ovLPSKMjli/sa/qty8bpNjRsdMmDFxFQLr0xZRihkj75bH0W6mxgR8MaZGpzprAEpk7p82KWO0B5YFeGXmKS3UUaB0DOua3uk8jtm0tUs5I7iDtiX9mMPSw1jnTVGKPSRy9qwgXyYLEAUyibPQQsIQgLekND0uEm9D0XHBHd+/HOcCr2NySWryFslzzDT5BW3C9Pcjx3JdeMkCOW1A69ru9yA+eq82q9aHXxbLBW6YepRSIYs66yxgSwRHvtsJ+Sv16NUSUj8xOBFGqJkeXMlx7xS9ACUlEXqeI3PnacoKBlGbaD5sCHKisJ6RIwkE6aMGpjHJm9MDgo44Fo2F+UkQh966MTuLlCVCpgzBlwgTnpfrWfpU+c4S4YVZbzZaT1uyoo/wDfww7d7MThV25FjlEcqLqmqDuaz49SvjYLGvfls5faOCp7Qv5nzbckpBIbu/lPuDnwOSyIwrmK1kWRRcKUh0uwkrLCJjcCeCJtk1vfSptqCovyL/WFiMR/S2QwRkCPg0b6h8wYUlHa1mqU3mx5Ep2Fy6F1A2LwBAhImbGsyVoAtvVFUqtXQ84io75ZjH2LI0tB4p5gJ8Lu0b1nxyir/ZjmpmFjZRemO0aHFQUQufPZuSkoZuFplRg+sy0vQ4z34nllnuI22Sf/B8nVbhjlWGzyuI6THv4727GYNORKEklEnKyHsJBwuMeFofCTzszpw0u/xINISrVEHyQCpwAgrb39IrTqvC5SKj5/hfv2lqLH3u1ZdNMDmcO1DHJcQM5cx1ny1aPblFsmjaIPYVYkmD7fS2ljcV7EV783pMI8S3SROcItJWIlxWCQv+1ekz2T1joNQP1gca/obmf/XxVndAEYEqKe6bvx357bRdX0t6xHcMnWSLAZWBBtLSfZJ4kuniM4tAQvCRCn7yydXOQPp7qEWRneqIXfh4ydJUaABeaX041aNm58dfv7RtA86zAk3oU//jgSay7MFawuw3+yFQHUJbfkWvn8sBgg5oDIMNGKCuU0yDK6R/URz6601/tMgAKRz5gD3fbzf0LJ2wEt+g+ohgZ5BkmcBY7BKFHCXDymLLMDWVY9ca8labgBNisrLOnEzLLPKjQIInW16mJ5thMkGoL/I2FwvFGhAwUt5P6NExjZMsAHB9ElTLIibnSq1+nmWdu9D3MhC0FZt9nrPsfVGTDj891ZgnGvVQztiMz7sCOZeFYnEKrMgmsveg5CxpB6K199D/tfNuU4sQ1cou+RI0iE7StyHNQWtYDKHVyUCFqF3Rg8X3AyLbxh4M3uleO55xc3TeyizUmYjARfDLxsAYM8PrYF95SWWM1/i6UoUfN1BYwy1yqvNd6TmJMXcsvqXlRy2LzjBM6MLsd9xcg6osFsQvU7h9dXLJxHgCOwqggGlpZYc4xAjd3McXEB8ooFEL9zix+Pso5nIz5SO1o8uyoRuQIo5+PzNzBTVb6niQGZwnzJ1F8w4qzdeG7SP+bOd8lHky2TydBzfCycdTzs5eLumheLXEJ+N+08QiUfYg8IA0jKB8bS20UKujk/+LGQgYA6rx3MXDfpVxiAQACjLLdrK3BNM24r4/WgKBvLdFl7G8XbYoFn0/x1uJuhayo2wpQIMUpcijtYQbcqC2CC8F9NOnC09MgY4uw05Ya9ucNlVhDJ5HueKDWShWsy9SB2e+z8V9b/47K7fsmIJ9p44QpM6xa6zxnVm6j4+6rye0b3H0spY1FJgJuQvIDxqy3dYp9w7Kal9fv5PDqt5F0+ChcR1EIHG7nvLg91EZjJTQX6ygRuDxvb8r/YGnPwU7x5AVgIBmDUyP1xMqNAeP3jPXL51E3Oen5QGejurxp0tWEBopgJ9HO8FnvHD//Fdfmxq6TxN7XnH6qn+YXY82G4MdrUbgWF2qgZ8URyTISeiFnYLrAQBi/DhOpO4rfStsRYLTSw+68B24dg2Erq3LcC7MN1PJvCVTugQ051tEwOlIP5LWJm7/4FgI1vLz4RDiu9ebqX3U2yORInAajOd26Mw7VJ66G9qUVG0kFGyX+9u6bgykRDGXqQdxUDxDWwiCu0uslmaZ2XeB4YzpiQD8rrYx49bXhdpu1DXEa74z4tpLT9Tv1bXUMvfNnBHbAi0YEw+CjdmLiiN1uHlin7tCWWH3mINVwczb20BlORBT3QxdRmlQ+QZyi9iqtLqC/8XfXdkXfF2Q26aITNdIMYP1U7Te0m2zAHzpPgCv5JjCrC3uD/51ECmBeHLeCriK17SlhfoqU4gwBKJNQk55BYhYUhSScWgl2Hj9L8ciuJLEPcM2wp4MbNMHp79cEYSCPQ9iR3FyabWKDDCvLHTdFtgYTRySjDOL1j9w6+oWSmIYgnvvFxuSGj1Rx1Nqy2hs40SUxTffQWubyMywp7qhekPSfqNLQsd9okkhkKk63lE7Fwfirtxppvs//fev8EqJ2UxdM3i75vJiyW4Xj0QXktz0q1QuOncBim5QGmT42CJTW6qDK9lpGtzseXfdEIZ3t1LL3zC6t/1x9eS6UiLRfb/WBs3XFDBAY5GoaJd/RzHh7UAXUZ0iZtATsq3qGy1EO7bR55t/MBId59kyfVsOhWdXKp+9Cw+BD3qmroXNWg4axKKuV5XKeMhB/YbKDAg8+hbFUoQKhFSSKyuyCelvopPE2WNQnFefwlAL7pK4tN0cJJT0Jhfqaw4dUh/uehqAC0jj59+uLCnsLkE4EFps3onmbiNPQXn7ogBkJLh1e4hm1sKW8rFP1pZttSwhFhHufYftPwq0Xlma+gJ5wkh1qVZmPymqCd7D5npg5ZWBiL/mViR54TmBjvFsf5Vnuacww3vmNu9gTEVm0qbEt2luS/JX+ykmISShwXvGXJd9TvZPGwdhIqratOTSWTRlJhDud2KZBu4cLrZgCAbDN7fesFMbHTdUZEPAT2UpP4SM69pSY1V6r/Dt+wzIGZJWpWPmgL2gZlSXxHYoiH4vImMMORThfTxpDEFhLp4420t2ClMKoa9PnpZu26+Z+UDjoGE104WJXTgmEJvnsgy0pi3aP4FVfj2gwx9vWVa7t5QzSSH2Dd0AYrHzg7yQ1MgDpRGQycaxycFWJ1TaDLWY+sRoTUmque+YbrgmUZ3auZEnRW0y3EE6Bwy9BUKrvTmGrWOyP68C7MrDxuT3+0XfOAeakJgJZP/rErARzE42sEzTndM0v2tseYqbeLr1fiQSGYjPjWo16ssc9pmfxaF0/59kB1oXy5oocAxVz04WkPLHgj/OotV9OAuOPStlpVVizOABuJLNq7hXCL/lMwBicykePNzWHLNMrqFrdtLh4Wzsi4XfSN9rF81QydLNlKLP3Q/dHrm9n5pGTnenKAvi+IT4S6tKNHC909lzlb60GQ1VlascJguDtxvcZsbE7au/5tx2NRRwUmSAghw1PR9wd5hdNdv7fVXNViXVBnvBnH8rbfSWlMwjhkc8Ytg1ACoOYXIfciLZWJZ60/3Lv4Ekybl3ViwC91cy+a23Po81IVuDQMxusxHs0f4pPiHUc1QfAhw84CYb90d9VcY5nC8n0zQX2AKdLPPjikMEiAZy5dRRMl5WJWBNcYdy3RdfPwZyYnuskid/Bk2mNdFOahE8sngATyPIAYa2fYFGjFKYETh/2F8lr8RjmEZ5Ofob3jeBCEfriTuWUEvn6dfqT+3xJMDsJMGWMHsyFP0e04V93Yd991PBJKBgAjxsCKkCpn3rDS1IIRSsffXBJfAGxVt8C86wBUoisCGtCqxlBnYyapvTZGCsen3IxKTRLe1c5vAi9ZLehnuPkhDW2yp56wf0oVAGrOnuEUZtooIZn1vUVNqWJFBnrg3cB+0raaU0uWqenyxVGi0bDXffOdQZERYicfdGQv65YLICRVvcBvM5ZinbJFa0xFFKtDznQSXJ/nc/OOMsRqSfsO164gaBuA2dcSQTS0bMkYQfkzMm/taQc67FTrKFpzfNCkaO25YzWjKRvQPXCM443pT+Y+5cFim3wJEBrgTcOdT74RQwN5Fbmkte7ISofkO90djR6nFlQRvdXJ6kfVJ/giA7R5x8OHBeoaK2wdn7IikumiUOFMBcgqQBS3bJDr1cvU4DWwYNdiMzix9khacyCgAnciIKbfWUvedbFEWfTuhIk+CzPs7jbXlMRSohFK6t/krDokRZ1vDNFfLzhp42ZFe97mvY96iqR0ByS4HeK6NtnPc1M45EciPgXqRqFzrD3y4nCd5yICGJM7aEmYNY5iIsWKsI9xNDWLxB/49bzobr3Io4OzuMbK2J97MQELFB9qUD3GHN9YFle2DK9vzWX83N780qaRG7mzKexpurUniQV0a1UCX61SWKOALVm5K7uNZrpgdKusnp9NyItfKqW8E5O4AsH56IB03IV1jcvxmF9fuiKDZx990EvHFxFyKp8UySaUy2dci1V6WfzYmmpa2Ff+Wg/SZHv0No7sONcGVnJuRjuAmJy2kN/kSCgp2lYOLHIByBh5CsrgXNAIx/C8r677LU9sl3t9zR1pahauSlzuUslfMtyVA1f3y1x99qpiwilNik1HquIXQ0DdPTTM+cre4Uroso/sUFKTAuxpXxOSLT4Mw7uYUIE4MtxRNxuPYxINxWMdzkV6pwa0LdmgnET51eDR+0Nfw7bBgurqaFofVOLV/iRwxEnJU7vJ+AH474TpnCD4A0JI157JD9GbSOMXo5z3PuqIDHYuChliqkhbi5HTptCv7nqHZc/ZLU83N3vIh8BWjYLKONCoLdx+REyjsaplcuex2L4hYJDWvh8s5/gg31zcG7Ig9uHueipo9n7u+vTNiHDg0ch8EWXSqNpYbW9evOwSyX2QZcx1lix5PsYHBqo5/TfI/+b9cMvDGa733B9/G6FkHiH1Vs0rpfHxKZYMNXl0dXhOhzrAQCDqzZe3TZwDN+uqBRYcMpypXll65GnP3538LI2a6Cs8KVaCHI0YHcL/lhM2cagCr+dKNUefH2kX3gZYjxzbpmvdlirhHr+Kg61qmVtzLuU+B4+RlqWE4WSFFFMGRjv+JAu98Q8T3T2qaDsbAeMpKB844ygMQzETE+IyA4MlW1IUhSQMDjevixb4xyX5O991oSohyfUx7dp+8oJ5A3JLOd0aHERArjIJ4wtyeWa6V36pfkfe4dZCe+OsLp9G2SUBRqBg+2oNSVtNXeGxrg1G61S76ty5JfPbxMdCSg3VBhmauewAsq8NdhL45UtW23sLu0YC4KL6gTAjdTiQ2NRt/5NSrE+G4JDncZqUD9/F0Oa523N44hXjbjyhmOTCPUmAInE40DWR8/3DtmCSc7Bnbkant5ZGUbS7eAddLP/T7G1EpsUvl+bgjsluw7+joqn+R1c7OWD8QE/O0UOMDt2EZttj/DYenANlo5HQW1Y11WBxBi4rMfwz4Z1njiBK3mDMTmPFSc7ZqCq9UIyScJ3bW/XF54Q6cwBWC9Rw/TmYrjHXzb6hpM0sR+CokmVmdecIrRD4AxOLmiHcS4Ui6tAH/Q31HRhjoXW1Q3KKk+wxjtPQOTXtk2dAXzKtUinBYmufoBpmfRMXTvgUsqcp/qY3tsxwpBG3Ni9aHOyQ6DgxKvlhvrVxqg4DCvXpbRyTCX7VbgMoY3mTCk6fFW6D1HqHYWJYtMKn++mD7Sil+0kYxSl7KxW5dUIf147g4nOhJ1roVavudCurFHAz3gJijN4xT5kXkQRp+5NJEovVHtpz6P+7FYVk4BiBRMbbmACFsg0bsVCwr2nr5YXdYaxLt9EWCi3X3k4tt82RB04HMZaduMgIzXzICnWOrBs4GkO8PqjoRTll6pi7ldPmFs8lHjF7iDabIzM/+T1o7yzE7m7QZBLtJjdj57I+ICy+Qz16ItrW/2Y8quO3WT7zCfX5iNmZvAs7xoXIDc5LCWIqsm1+2Fh6yKNdy7cCyfC2hfZ5rUY+C2T8mU25O0k6GBe16TchOjxCo2WhiYUfL4YnjDcFpcL0/HoGJZMt2FulOcixhVJL8+5wKqvvJKyFe+xymA30/Bjd/2nEPKN//rU8N6l83Hxguqsg4ptwvr18ZBi3Sa/ivuqOTAE/iMZaGB3awy9VnFJLw6bWr4wfXGmk+SL2hH0XWfadjHDbUUQ5qvf3unV1crZtCRAYaEuH28l+cT0GEusHLFecFcxG7SOUD84Faih0MR6h8l3KQdDXR4/AX17TXACe2sLj1KNjoirCf20SaIMLFM3WOOiFLh/WBTltgzvPV3/kC0loimkZLeNIAJ/B7/j+JixiwKFS2Ak+nEX4Lw9Bl9KFBjri5kd6MlHpZtKvIwgMhCAYTtEqHQJLu2a/Yg3RAvLWaa1d9P/BPcpiO89ckTrve5CagX117m0IR1BKixA823cA6VPeYDVCmhbOQtiKrMguxJ1TGq9BhNQGBna/bm6HNhOQvPBap+NaMY3F4fxQM7/s9jMxcFGn1owemQkmtksWSsiK4I8W7Si9w8AXr/kmyqdMMX2kW1F0AdQb2QtKcI4C5TwuhzcZoAGnUvH/iPRKskIdOM3L8HKiTo3y3LWwngiVjpdUBghX4PvH2+9hfrE7gQSEiRw2Vh/93L1ncGRj8eMbNfsR8JsIRbuSM8oWBA4H0b+JXivS085Ob6DbNTfElkdsp7VjXPFfVW0A+OhlaLfQ/hZAZakBfhHeRZio9jDLwl6cSOj6YnJ20zQ4uqIqs3xhenS6TNZpDp7JhcL1A5pas52IoR2G4Ry1njGrBQ+AC+KBC8bmkX/E+mwAHA4B4d/8YLbq0vjQepzkagHeMHIs2R24VRl/1hd5zfUiVgmtljf3ge6H3eLomjJ7l5Q9XtbX+wes0qfIwMgl0KWBDu9r1f1genjPxl+mdYCNmCtjgZoizY3hlrJtt97qiM6vkPoZrckhMInuv+HpS1BPOAuASY6x3phqExp1WnrWd82buy7y/6gUpwLcxU7Waz2KPuItgyIA7CZRUvKOumKz51p1zr2K+BBgUAUVJ+cFSlNXRcy65QG7qKk8cgclkyca6JLgNuIe+ShU5XFloJUUIvswlOy1wJIBF6nRjn3MqO6EyioQZ+MqYTREBtaNkaRahGvJZV3LngL1A8qyE3tXqaB97CavUbtBbLH41ew61XTZrE27GSvJwfhxlkHvoa4GQq5X759WMI4+WtccY/gc9zqjHQp+2fhkrCB4jJHWqrp1EVcDxJ45Y93cyKkqNdKUEDxRUGYrhm9nRERvYlbvJQy7GEgY90GvJBtNirf5UEn1bZNW7DN09Bb3OSdP5V5jRVF2+svN3E6G8/nOUyXIpeqrMc5p79pYFnON/0bKBYTuKTHbklrgGPRbajeQcATp1lyNzDbsNBak4LM/X0hhWmiAyg5FyBLbW9tUoLQ8c5kTLKdA0x0l7icMtLQFc0/B3ITV9/mTySVXYreVpgM3kSvDM23y/qSipm58pUP7KT0hO8Qn2Y1Pv9Fg+B5IYlS2slWUNicFgDn+rjBK9PPvd9OajlMs6gdXkJObXPYbxP8+gU1w/UxNXyXj9Y3uS6Gnw9hy5s+yfZgfGKust78zLxODcwoCevYUrw8wM+lErkpXQh/L91UppQTUgEEaa94uBsiCa9IgmXFvABs0TNVstWqnyvriJsO2HX0WqwG+13T5cfqiUAQygTzj2J195OdVyUr2oFm9xD5IS1ibX3MSNEYO+V0PFFFiQyHmjIH+y8KZYucKU3IiEtc1VD3zyJIswjpcI5MtbJ2QUV6xQYeDhrZtjqaNma0TNzjsn/vIDAkNeUCtnAUnBYYkT2yBDKneMWmPhOJnQEGzhbzvow2UD8Y4mOG84th9MSzVokGm9XcmM9gVcH58Wo8MPKf9rAR3Tp92LFpVGjDbFkHXtJljDTnUAGxbFmz0ghjprPADh/llfRVqLr38T1yX29a3o54NcltfN2brd614CwSApSgciA0VNY06xrNx6Fjhu2uYgUWmILUC4uhROolDakAeWb5d2/Bhu+7w+4AvyFpAgtbe+6KG+hKLmKP3+M7Qr/7VgAdzxcimlJuA36SjoABXZvx4k74Kx4eOyYOtQ6Xio5HMddMRD/2e81oX5foiHMLzQblKBmG3ITZTHEhEnwX4VSOugTRIvyUTzjoSVI4/zC1tUafdDYQRqlZ4tgTLefBvmAS370DKsoGIjIydvojg7CtFuHiNDPgN8x3hcpizarWkOXXsq2KD8IGRtVH7SBNhwccKyAHH4l6jNQpHCKez0RzYx1eBZ9iPAUIz8Zp3HPbQT+OguVRAfywjL4nCaIYaVw9huAI7/QVwf+gQ8eGGGFo6LxIAhWr25jrCkG/oyRwO3MWpQiKUyTuoGrQZ1zQQZDisU5oe2Sb5GtG8vkHKNaGAcTy+bUSIN9WaxY3JY8mIXBe6/hrcA9zvH6ksetYg/XkhBfUTbd0Yoaaq9wRQm4Up+SW4yPWZFElvDbZhC37DOU9nX2DJiHr2MKgfGPjpLsh1KCAMiH5j4Stb942rBfMV/1itLwF8+qrMcALcJQX7DXXmYZQcp70dTxqGt73qZP5aH+ZJSOAOpeuilU1sx3jcPK6/jprFrLPK4r+RWbzuZ6TxtpY9GNUu2RbeOvGImz4/m3BxczRE9hRhCDaThO1cdnYOtQpBtce4sVIXxGL0IfLZCxb/Q4cTbTBSoDKPe62dNSkDs/vAAJ/g9Y/rNTjQGUDjym1sxILXLH7uPWkaAofdMPzmGbWohVvky22vOUm0ErxiiGipvvwHYl5i1CAzgzp0j5brivM1UK8liP2ubgguoDKUjVJMkDjhSKtf1KOoknmo4+qoTZdUNJIUwtQbLcxqPWNunqa8ptRs4P0iT1e+lIREYdi5euwaOBFhI4sxWprTS29LEb7zCj2QQtcBm9ZZxVOzpLRzrHznu4tHNWSXynthCoCAS3eORynRLMxG37QBNFGxKH9OxNR8tVLhSG38t11lmN9j3/h6wOG4nGM2K30+uV34mJwXvSvY84Lcurjx3quaWNiYqOQQOjOXr/iDTNXDxkH29fp4em3JDD24SRVDDO8rMxCdUSO9ZE7LUtfMvzQYajWjiDnnfMv3UKRaTS3dKEjg5ioomVInOiWg9smEYvmtKoU6K0cEwSxx2hE7f5uQOZQ3nl+vsYbJgPj5X5jNMIFQyx+vipESguKcWeTNbKhzHMNbUU61K46yvReFHPr6i98hYZIYCR9qe0nmgEZ9WzP3TMf5t6Pg0u/8R+h6m4wgZzP14l+0qJrjV7PPWM/f2WLkgQ4VnCwttA4WRc+1uG3flETiWm10MiewpSgDljucpKUsH6dOe2Fn31Hr8ryTeZjFq12BuN/YgHyV8TSRDC6vKHM/wQ02LjhZABJyLeyaSUkJj9seM5zJEUYTyXNcHNP45EXa0f8DiagX8HPWxcS3nPyIYZeMbiFmb0R7x5tGA3gX/vCkRFZMbgrEWze9e3lvxVrn1YfrLZK03iTGj1sRmAOlHMvsbre6+A1adAmR4oSnFj7EQye1TQKpT7QgyijmNc54nDHKxMv7JZMXsINxNP1vLLwol4UDeyOXEQRV3XpFBbwjJfG+prAZpDve4WAfwQkfB5UctsgrNqt0CnS2ifYkv0mOWzMLJLmYu6XeiZx3ybloz3/PUrJMEZWzoskl97TIgPYXwRYzMpJcxn2wCy3CWFmeKZmL0MjMsJwze7jKvQYBiL+4CAJKxx2R0GelYkLycj2sM+WH2ZdkRdt94GIWkoeM8KGwHcyjFMVIGH0pRZgvz1M73klJHC49id6GnQC6pF+tzho/IjSnIRTC47u94bqUOCuCwICIpzXVzh7c7z22QM55z6dI/7qQrjMJdNx36V5d3lwAQxolXH4V9zCn94R/2deIFxCMM9A864dolrrww0xUf+5WrpTIO+s5fSsTfBtm/mD8vex1QUsWNsv3pcVSV34gKcQyWOFn4PP+B2cFAItl+V44xylhswJsA+b2QT5RbFQIIEdWCxBvmGmq4z9bgahpmkZIVcyRkkOxxclblCYBccN/dqY3MJWet2L5/OdFO6gkXndI0wNpy/h4Pgd6wYtQ/4MlYCAaHFeJlnMOXxw4Fa3U6Tl151BCTMuS2K9KOkwiyf4ZfdhObkmTQhWR8D0WKt89S4PBYj+IMnCvzOhFOwEU4xPV03CfosxQD57VpGyFScdoN2LGtpWOWcqoQmsME0B+pEpU1eXB9wP63d+6Eu462qPmgLAJ9folx1TUJDjse5nGma2DgD7+cCIqubjkKPdT1/BzLHYJc6M3Ezds2KVTy+q4rGjTG1MQv6ewjK2KkRaeo9EeEiEiz2+KHcVOd1c6SiMUiT7vR/KJm1Yet89LdKFB72b5L5gAK3ne3E/jSOPz9T98jp6TMII23iUlzISEPJ7Vvflyh5kGgZKQRIl/TEElIIbnDuxgTT+csdvBhBx7R1MuLyAidSSXHNz8Vzq5IK5QGZjpDH81yzjxLjd+8tyhRR9XtRtH7k4/Z3SmxTRBDfYRLPUbpf1gM8I6z0sFqvM3h9vUV0+L9XSqsSyeS4+7WvBHKfhkyTebNU2mSvD+VUXp1+2X7jANBD5ho8d+kQHC3oJMxbiZb8gzQRt5HC8FgcWLeJBDq3e1BFwt0rYpadXONkMMUJjJrByg5XF4y+SYX71HqYiK7pYS2daIjSSN6KbZaM1H0dmOaBg2wWRQFNOiHdrhKus7+lwocYbbvudIDYyzodDam4CG0eQ7dEl3AJR5f7iuFBNUXTpE6Q2H100C7cuoGz3cjxizXnNQrgOgy9Ixd4bwpVWpYGdddqUsQ20gsS8KwbXg8M31HzrE0ZZZL9gA+Es1V66W+hyvqwpc+6Tsn0ouuwnsn0QkZlBnpDz6wCxqxOtXh1QIVQSe25T+jfzEu2eLZ8lPgEsDbdVhQsYgTZ+AbdYC2iOp4JT67CIstXDokLd6jDSKimiDQhVcXQiXqzKxR3T5RkhCrEgxP2bs2WqkBq9UmgsRrtp1ivOH2RErqyVUCJ/Xb6XS0Ec1BBIEsKK3Qi82X8t6mbvXApZON1GZ+//2lKHsjAQ0g20NPTGkH061rg3U5AhN0QCFNNFcaVH3+rzvi8RMDqm/TEf+imip71VASlGDcnCU2YaPbhwRrJIJ9WC4srYou/vcTGqV3E7byUQJEVHXV0mautvWcBezLO3hM4tYKWvhR4yjjI3oDr3vkBZie0KqNfweceufe+84akA10clt05LIy+lJJBkgnSKdNKZokrVlgdOliW32+wm1UWNMsVxEpjS9ltMa7ONuvCyxLXin3cyIud218KM7zgT0ui9tHqQGzOnU9wQ5APIdrUWQQrs8i3f4dKofmGagHFYuBxQJQmv1hx5wRIglFk0F5O68aN3QHE/a9c07KY/zhJUR7N1E/fU1PHtP70m8K2PwTAyvAQeb4tnc+wI8t0NX/UZtS7eF2Vn70ud++l6cPaVCmImXZnzQsDx4/I/drhsGkw64lN9lTNGw/M9oeXvfvJ/FJ2k881deoCI5N2ac3jkiuCLKdceK6E/BOTB6uUdANoGimTym6ckwaABot5WDVp9dkkT+PA3Kl3kqKpZsqeGDIUMEiQNioyyqDTDM0KJVsn2QiuDMjH56nwEhsQwYMaNPi+pG5nsJH7coiFNqqW+OGY8ssEhW26B3GhxAHkMsgWEkWM+nbJfirUNcvlfQS2Fc2NR11g2/kkUpzq3BJ2NYMLE/aPFLNg0tPEv9x5oDrXblDRiLcOhEFDvIR3EkndCJgVKNhaPUdg8pa/16c9sJgQmfWqFcSAhbh9HWvutFuwafO8hPzHHPqOWB4siGclVugCNE30QYOekA1nKxUgvCedjWhuk/IqGEw+n6+BF+Ot8A/WmKHIZxLg5xG14Gx0gRCsrK5eJdd6zSTKFF31SBHzfCR9/Tij4KC9DJTb4zVKx3eFLtDeOM24zl5tWGHBgi6HwlcLZbRFvg/X6IuVJpFloB2bk9zzL5SgqbL81toz127zaeN9Wwkx7mQVfup2XpXQrprEEmequ3/z0Dyr6tz1BzyidYjdVHexD8xgusNfgy1dubVljy3c8bg+U7ZPiM/Rtkg8/cPVH3amDXifDTVC6hh5QrqCRqq3FF0BBfABN4lS9bNzvjJAkUWmcOxIMIxry3tC9j1j+lTLipfgem0nYDa+Oc3+hDI0bECLf7U9oUnqHOIyuXkADbQbtlQD7A75QNxQpEwvZdpUSQWWhwuwJOzEvsd5BrFwrcXB4VbtT15wz5QgJSf6mcXZQLlT7wf3PChopIKQOoG58qV1wsy8x7UFzXa4WTRBLfoDRbKqt68fClcHiOhJiNx+XUChEAKqzoesoPPLTXrpMuO6QMOEfa2KrOpuEWkrJDMsVcMCxSKwlDXpWVO9hK44+Bsqb0+ElmbynEX+iPC6Y8b8ryTQ9jkx0BQ7jOQZ/NTARsj2AzlYPaHGLi90fXd9QRu5h/Cw132VzQPOH1oBqjOu7yxWXfdmBVqNymIKUFwXnkvbnTdoqwIiw4RFltuUhE7/tbix+tvbJpQrL6S/1PU+TN8TJ6Fy1S9ZU797nC29pAjRk3rXmRnWCnAJJD7QdU4eHol363mo3ujrfRj6YRcVvswOpcPJQwNCrEbgyuSt942PkBMqLzCeXhAF/U2qVKCosCbF84v0BpNFhaAOgheL9CoFLy/Q7jLwBfbUBq4a7zIN/QXGVcmUsUwOGCyC9Y6BuddaCrOdsOxd8unGwH6k1ZOceek3GOf4Ydydu7Yb0+stZ/zqGmZyf7M02MYuJO9FZqoU0xuR1qK4ZV3KAM2nI7r1ZysAWnxV6qd8LsIf5Q50y0uJqpRI+/v9LCusCE/2DJVEUAfXYTIvhngJoz63dHrgWV+EK3LL6h3qA+ML0PAS3hWrYi0WDhfIv8vYQtEJryWY8z6L1fEtsHnqAMaEXh5cIqqbuS9Q5MNzmJdbvzZTdZQUwdJHHL7aZ3m3JBAxEflWnZotVx0MUM8dMuElgmGIRQ+HftD/LjCbWaL1nAgHG4rMIfTbtPR+GxmHoJrObG4ksUiUENrtvv0PBPvMWNSLHrZukfgr72r3jUB/r4iNO2oBmNxFD1JmC5bHFciWOk8U84W4niblPVrz8ABWOr3qSTEUI4UUNGpqxZGoJE9iROJ6Ad4KrCoOH4xgi9xWYd1acSQDIaXah6VCswvVsUZa5GHjCPqVPhPGbA8qBT5G0LYUzM+o26Vl0I2Krqv0G3AaX9msSVkmiic6gjjqRykjfGkM3K9253eZP7aKqpD6v1ppPJDNTyeLjga5kYnijw3GpfO/vBKLJdO7B+Jvm+GV4bkVtAxth+tDqGaHHlgCQQv8cT9wNEDgC4JJPLR3m7eWZD7ddIVyq5AwqdXaJL+fnFSuAot7wR+n+KdcfaFJmbu2XGiyopUxM+VpqtF4LTYihK2IUdJjYsj5UeCftwsNuzNFHbTNBxgRoNUqGG1hjNA8Wc3jXqBryRCvrcvbqD4S5Wxukfxg4fHjGb2Z/HAHW7b+kh8t0jfybz9u7OHgGzQvN72BQrmHlleYT/ORoQMyI99cmA8uQbV4nTvbar8YJVMC+bzvCTlqQ0ZUzCBjWVLvjW42C/BMUIyz1CmU0432Tsw83P4uFjLgkv2Dylib/r7EMcYT9SDVG/4V9rqwBvr4GKsfx5URbDRGEKCOTk6eNYY2cCKddySSx+FJ8cVPpDh5RbvYHfxFeF6XIdPIz6wdrq9sP1WH3W9EebMWGQZdSuMo99WXRCz4H/aoX3QmAV8as9Ia6c7ERhB6JHQGB84CAGD/w45fRaZ9bDPFDbpqbQkYVQp2Tny0myjfFqiAUL91XKTHTt236A/emLCCaa2fVnvKr1ZaUdh5T96la1S243y5BzX+cA3Qe1GUk4LBbqU8HUp0N3Th30cGUwnTt+Wkxezaz737HCiTiCoyPgEHbZy/lHcWlMhmxasFotNW1z/i9QVVLY23u9rqlM10aYYewdDnP0N5LD4KaexCHpJQJ6v5hULhH+aDD+CwCj3PsI2ZqgzQFQ5HqLPugf+508ZKaViCh3QGYICQPHnVZGx6bXmSYDxwYVzaa2BK30Whv8YNuuqVSEJ1JoR8fEYQFc3loI7l+S+D3xXj0hF+DAOEInuYk7tqZWV1Yda4XJBZT5dQOS7Uu5zcGBsQXwJ/zNLDH/KI5dRsMSgU8MIJjVlzpv1nb2gEsXp6oz5D8Dz4XCEaWETDUgD/egsVWAssrrPXuHgiw4Uk8kJgu+nASFrPIUhjgQMmRcqhd6sMpyEjUeLuEBb95rNYgHdAt4t7PIexokyXXZP4ZbuyCToV5Iwbp8DDxfvEpvf3ji5EQqlO6uG+OJKOPTCX45UJQOgIwW9TLpWjv7iKO2lt+JcT5et0ZMkLXU3MulsuLa/8u9mdkTD5Lsj9exMfxFx6o6WvMS0dY36f/M6hGVeIiWQK2pEmGN6I1Q0fSwbul+NMVUl62fGljIcnroQesMN7BN4TWkPbpfuUnmscg6eWer1nQC5TzM+nwO9f6GbeoYQWwEiljLuIxlKc8ZFQrqlTL2fxZ3R4a7DCnoY0CqoWItfMl1TnRxX5aRDmGfyXUR1pNaVJXtJiu8XUkS6NEm3wiJrsKqz9co7Ii1qpmxy6B6+Kj6xhgqOV/YpWZOGnVwiAc8RuHrocyufjTmAzjbhiHB8xLFKgN8LdpOUMg4Lr48vJI1grOCObruM4yNlreH+7d2lOmMF5jM1E3zNr2lvio3VGSMs+vOoER3CsOHV91bz4AqDnQqQFki7ei0hGE+8HtnnJBgw2QM80c21t9+H7VsLgtQutQDxZpnO+42e8IzFYsikye5gHs//x0jZZBs54pW72Zy/VcnvGPP7b5qyevSjkHHpkrmqRE8HqT+rCOfDcKfVPTrzrTzCf24r9M3rIitrRw9Met4dUnyBqabuAfYHygOlu+ZE1u2FrBGXQKsc9+ozgIBXZRumeurXalceA59gzA/ENJ8BDZphQxRChzGTCK44LBSvyojkZtyMPhxoX/01N6GPlW2BDBplNgXJRYyKROoxM23tGvuy+RlYb3n3i6d/FgAtIqG31LL+OQUCH8rryGgYzHTNOgysEx4/2ZYBygo8qyykQwwwdDt2ERVE+5jcqVmBe/JowfR4/oRKki1fZfxmJsAO8Ke2XodlaFtQMLOP7HeKGm4S+RydmE0eYwAPgj2KTZef+40J8Sh0sYcUaycYGJY0hxqdyI7Oxq2ajzuRJisheyQXhl6ezvNgd7cCeY5BX+baBp35iwXOvB34qG2+5X9QOGhQeB/r2O38IIk5vpGI1jq/Y966rq9gVK8A7597iSeAR2xJS6A8mNihsxmO5iJqSpMFOLHbOvdLUnBX2JAmjd0TpSlGalsqEFbtvdibhpSff8JrSOOuHoPE1iSn0qxATFZeb/MAzburzG6UBy9i0s+P8JNzVeUEp4rN7x+ry3bTkkIx605ZKVnjr2+U7Xacu2MV0DP5Y0QDT+GV086HN4xEwqswwAgCP8uEZnlkDOltLjoUlj19M9BfTBzgoglmi6dIQ7Bm1rsDc00Xw8A7mh9y57NUtklLZ+59S76M5uYVZnnpHqRSHf0TVWufYNx7DH0VsUP8YZ9jtXHwbhKljudnc10L5TbCq0Jtbuz9kNlzY7UmTieXo/IMJb3EKS8d1QJSQ6/AwLs8Fk1EwnV4UTxeBGpNHq3vJqgrM7xb8yZ8zxGT8W1ntMa+jtEmmsxKRh4pwS99ajkaUlm+spXc6rVPNynFAbXoVI6YV7T3jNswwaUvu9UY93OIFcF7lo9S1jlr9u/Bjwdb2RJYx9n7k/Rvj0WZLm2HG+/v3nkHKnbPzgs29K8tMyCZ2INGkjMoabwkiy/0QDzLEKMfpN1LdFVsBvSazWOjGlj0WhVr0+RN+3gPPH3JfOL0O/UUBdFv/FC7U0cswCWf0gFbrwUxZgTBFtbuqArO6gOt0ePGby4dvpjGcrPI5MQ057dt3Ns7LR6eBEp9LtNqyNxpLz0b1NueGKPSP199dk/lsgwRSHS38BjvgpIXP0pPX57FuaeHPKGgImf/Cd9A029pNDv8HThink4S9wrzK1fjbyGleTaRyPKdLDYAa1C+QqnRqNxSEtzJooapKdTGlo2NJloNvcBfo5pl5Ay/vkqoWh5eJiHycqIirTf/fnSchmoYw74B+HRMbJKh/yqGDVLvnCK8HoBLaeYSR6V02i4y41GYs9QM5TSufe8/IWamcRVC6t33df9SlLCm87vPbwwZJIJR7lIdUMLlLrLFKFUmdTpY5nXvU8updDTHULmV9XGjm/deUvdDezl9HD2x7zvOfiYZeguKc3lAhqChTSPVIBnN++gGpwUxvdkKPBWJ05fcBp4BNgsoVYXa5w9DQhN+gf4INg/tTNY9+FnIm+3ipIhf21ggVZxY4J/1qKXyROtihHFF5sGDGITp4G8n6vpyX8+KVOr6DZ8K0t5rLTYLl4SkswWI3dXSLKB5KV6BQEXS0W+yZdXAHt5+A3Fqzg6NzBoVCeQFs94kT+2+TizYD8HTVCfd4vj3LNzpusgC6z62mGF4KCm85ACBwbEv/2kgE2hpTBxUKTdCbGLUiQzZE3dvQWK03hXOzO/pXVqkLolDd++p63JsqSqnCdrFvtcgRRM/xLEF7doE2eIrfULGFwB3LXcTiNiap0hsOm6Ntc6+oO9tnOyIxEAZwC/jZU68NmxVmvMoBks4gJKJwkaBGu3akmagohc/qhHttmDtlpq3th0sFB44Kooe4vMRaF5C3v+0R+b8gOlmDBOxr6dLxU+zgoETFYfO8yAJRlctp2+9FlaNhNqEZ+YENND2nxOdBmFz/6+KZWtpvVIHAbPGGNKIiE94hz41yLBuVUDfNMHqlk1aY0XUL6Ga7nhxaKQ1Gq/kqHrnc6lwK/OR95Uiaax3FPhM0DImunpGATtH4Sz9qVZoT90mJVPFtVssZLJWyopQfkhWLxb1VDeS/4b/Rg/eKNTPl291GyP75+DyicmT9mior/XalYLjCtIohbqEvHAjhCfnjqmFxA+f+McWaOqkzxObctOOIpUfiHODNWcALR+pjB3biDdM/93+ob5iTa28ahJ4aKX/WC/Opw/qgFZCJLJKDSzV4YUsUyzt7FCul/M5YT30uZbItk2LebCH9Qebs10hb3O/gnXTyk6fKzrzVJr2U7M22cLJOeRNkPgiQ9l8P7kfmF4x4E6YUzhIGMNA+RFDE8rKUgtWyvE8hrkOE6Ap3YSO25fGykYwMM4paDCf5J0SrUbMyH+jrtPn7AuiogYSMeJs/NT1pS9FRhC6C6hxMMr27XjQA2L/qgUXDy6GwCHGieu0i+VxiNuv597wLs0avKtpIWwQFuDcHjyEdlJk7ii2gzmcJ65Os7Iuy2cZpP47/cRBK0j8w3ocn9O0kxvKhpxigdquR0gZSyp95yQh4ggynLL/GHBP+e/PtubMGc8q8FFeeNESmyLePz0l3uVVL0CdOg2DGjnHKyKqqBdgx6kZABCrPyn3tmE41VwomV8NFtVWPyQBTbqJDpqu6yFZ76tEPdAIsoHGnkvxyBJ2Ga+lPSc5m21JgLpofR37mDVur/KZlHniRiyn7CGa2C1dp9PzB9AMtd6VWoQ0h0w4zqCkIwaNnl9Zc2Rh463X/DHRGtbo0wjgQKbU7OByDpFaIKTphz29Terbpnkv/66O6/5HViBz8jXsHR5HPaV87GEVJemJy51wiLqjzHojNB6dUEV8mfXQ9W8SUhfPnil7czlqQbz28eFBgT4g2aOtEaSy9Dr8n3TbUY7KbMN9yKtsVhdy0IZBNSMujAdrtrF/F9b2T+l+LX0bUM5wToEtTRQH8fxVuV+LO/JDeCPKXsssVo6RUdvHecB6FJGPnjJEDzxlM/J6dyBu/b0FS9qjRPO0BGkoTOaMPKJDubs6aZoPR1OaMmFwlsrEU5dGNHGIdvP0WlFdL+KRuDa21QfTQVr7gCTtJtKKGJ60G8qt0aXEcfPhQIkPd6W/4oLmFrXfChftemzM1notfXYRPHHfaf4A3cmBMPXgdyYfPlTC0SbSKvAMOfogEqOeqNLTELfFbKByUhZXLqJTN11Cy3+plzokEgfjgAUD5ewncUyD0JStXBpdGDE1yGQgODdEf0fa3CBqWdqes//Dr824UKkHPv9sCW4sX9eE3iCNNUPRHgLeOM6b23PtfFJKN9kw29m/30KXDi2VrRExAFYSm0rPsTUiz2qmMzKzan6kivs6l4wtKaniZ9oJ151d4hFWFdnfXyMk2j9K7Hk7VQKFSMkR2Oagf+qWXOU1UUWdZoA9OBSfgOv7DzcC41Ufobow7N1ytspjXwjj3U2NQreLiK3pCFUeD8ZtuhQsbV/DuiqLhAuARuc/tbpsubMtM2fZbYpth4HoPR7plpNbUcKmYcRhsmfoE1Z1TY3itoFTRinKn/1jfycmp2p5RzA0M6tYBKOu8JUIuTnphIAag7gYQrbuwSHfp1Xs7Ubhx2RHwhFzwtwqL6Wsp1Rzm5T348/mz35GXKnPd9bqukkaUdMKowIIhZwyur9NpHMv9phBegukHyjiFWyXZk237pab3pGR+v1mdaUg1g9K0fPo3vKmxYn5qO/Xz9WFiCbMLfkSKX/8K9yj0A4kDKqWqx8ecLRunkT3iLk2GvZzogrWSyg9ANjTlNEGjpNPlXCtCxEordoPMqMBTQXgOOwh1cUGXuhED+ktFlBrMn7FLZ4UDxhdBXS/U13U9GpqB+numHaBt6wutiYlYVOlf9Sg2EvhT7ZoXdZAzppy8yDq8P9xW6TUg+ouXSB3LymyqLwBtk/98okoGfawMi27KOa1wCJH14a/nHE7Ki7uWtNEKyfMRrfq4vbebCagsJYLO0WnWSL/KXgW2aqgz+E5WgmZ+dGHHp5irn6jQIlokdSAe/ZnEnaHwWNrhI15FS8MdFVLo0QEz2V15yQn1WnC44Ao60nP5Qi10D5U+vRltauwu2xMhNEMuONFIEgqp2nd2iznqkLG6zNqwf03nhPj9OkRqzzCJC1eq2awJm6WLF7VfEKsB7Yi1kb6Uj4N8jibn0hnPrrBjzjGOeNKboGl81Ig1f/4EOBlv3Fz0OQVZeoggIgAzAB3UhLzQ6LWhIFt8RrKRY5URKajNRQjpBVZSNTfx+7ji0HPpEyVvHH09ty+i4yCcyESV8MLqBz+tqnCyVZDloYd1a6dgfToZmDoGp27oXMadbTgthOyQXnSTRNed8qFCCgl8yW5QdeX9uGPrwskiTky+yyUa+QaiYoo0rzjJfyF7S52pXiwfMZqMpKJgwsvFwF01VuNXkBo40XDO07xpckYDC8JlgL14oyAcQYzFLgCpkqV+53S+UCbdWHm8I0zXpLIkmEHK03a2MuNXOtn+2nVCHbdnyCnXx6a+ccqr2Numbm0TlilQfJ5dUohgmbMtlnv6BQKaV8DBZdd5ggk9Hbq23BnTyncKpfH1yR6E7BjV3djl261gATmH4fZkNZg90/N7ZDzMBQbh088EUA9JtsXdT9k4f4J1Pb3i+/kcAh70joTbArb75rREN9hDadjFjq4A9X7Zdb9vKDOp0H/gmRJJulozse8+BTelKdqizklKBjZCjB9rbT1s3x7tHyOe/OgGedBZUsRSCcsPLDJ3Ft32rXLpkQOM3CUMzDwBB2AoaoE2XAwc1fDLu695zD0NL8HL78z7t8zmr0EEONBbwG18OawYdjzmpPD3zR0ZCdwX4BPo71U0xI99dVeNlBwhzH2B6H+ZYtsVtXVEyb6NFE3ZEP95eqJpKVFngDzXNFTThXaT/9nV3aZcPYRr3B6Mi5f+K7y2Z3Ul6QS6dRYWKR1kWgslTkvQDYKLDOpRorGLe9BXbuMuHrdYFhIxP34zlkSNpqE3HAJGcosuxl/OqHqiNuzT+R9pzj7fEGcbtNFNs0PX6lcYqP3AvAono8d7h2AvqY8x1BZgPhVEAWV8mg8UqtzyPuQUZPAHFpPa9+sbSbRCDYaNZb4SsodDdxT52ZKPbyMVGmpKIIt86tZfuc2BXgrfxF+P9nasKZRvGi9a6Teh/hmtceg79tMnykwWAfWNQKp37XcMVbpcYRAvULsKy2aO3s+g5/NKfgdc3vFj2V+L9WZlTjt19KiRM8Gs0xy9z80K+go0W/6l0ATwYPL7SzdpnrwVpkOoDLTAB12F2SM5nRetZ7K9x4YEqfhtJF9aaZl2kkMKrlW5mnXwAn1D76eW7rM6y8r3nARlKrPGYsWsQc4VNoD1YQnhRoKFj5XGRiGrzrb3y3B0wEGwUWUV4ebsNfR5WrsDA/KRsVSw7EF7sRtdICEwlscvgIBLljAJQeCOAZ2wOJNb+huiAFdFS2v6eP8Qcom/HYakZTFHtQ78uGhgBkhHBVFyOF+1+lJFcg5GKGHDV4jgPivXTiIZDzAS5mqPm5+2a04dE36La23udKLhgDP+4NvH+vS3JdVKqI9eD+bkhtc6IHL0kJu8ZVYJLPJGwlq/rz9MR8AcsjNYNIbUBUDx1lEYi58/Kc/VNbSwDb6Y43tGnE5w4hhRj7NmBgQtLHv5I+RQBd3Rl8wj/H/k9kC13S4aLZ6Qgf0/CY/YzopvB/57Us5HnwliCSeOO9qNvMQaR6uE6cxhlZZOOanQdkbYZZf4YtryZm3keIsZfw/nR75TYgPqia+f1Hg1NHhIgxvK8WV5RXcZHxJSISH0+6Pc4BN+8X95MzJpNgQqxYav5zBDXG0EmdcChhRoIsLepzjGF9zwqsc/3BzN+NtvZrF0SGI3npZrStMqkQFdzghWrXXYD/XcCbPN06HnU7avSQtdNzWGQx8e4gtimAn6rnISC1DtKcm2IUQNBUQl7olDbWkUlPBmeSI7lM0a03WxYJWCm8XgTaCK7y8cpgRki0Lw+e9qydJFxa11m+7IYnrplVWNTsRsDhiYWOrLQNqjMzvI1hA3eiAOvUo1jqzquz/tV3qlyUKQ9cL4qb7MxY0jtneotUUNLCR0o68NDeC5b5K9SAeJGtf3w9XklmUwq3ZDy1VpIGDT4iHGuM1BqUNGW3FX9JdoQGBSUei5pMelOTMWKOd9/yN7TdkLwlYjJW/CU+kofarGcw8Yfkypao1k7xxMSwW3i/YAwB/pqFO+uW++zEPAaotdlG0El62qzJ5mVZHxxTN8pSUABx6Ji2b6jPwUzuU1jy8q6bpU42x9xa4B88kmz2kGZbu4+nISL0bYLv8rb2yInkOcrI8XDWFXgH/NhOEPAiFsbZZtOOY8xiJQxgm46H3tQqFaK2il1lOfxL+L3k9IycAkKO4V85+gHL/dfIFPU+8kZFwAAXm5Dn+mXAN1PLoUpEz3nvI2wodYWB0HuQpNzTLJEKJ0BpVwcspnJXBkYAa2uTSQgGpeEHPS1uRRZDTr/osOOR8so10z8oiWakxEWVOR68MWb3FwVyGbuPvwtIJ5Nml/vwQIjeqHFo1vv82EmdKfu4N4BehRahvLgbJWYsIlVrYo2/LLkT1dW4c3vsRp4nrSShwNq9+hKfHu8jNplsteRt3M4EjnzliCWUpRP58p89DmimKO51Sn1EjPA8amDhx/VUxBciXCpq2jnyABOtP+z7GuxozmCWgsJfBT9ZdjsNISuOV5dtEuO80/HGkpaThJ6jQ7ttbHRXfy2KdYf/JbLb2t4onPzvFaVR5yj3FLrymfl/TaFfEklBghO+sR74O/xA0D1g7XBqsiQhCZMIwEoTqmqRsFHcX+C/LF49lE9Ot1b6L7UGmhInXGA5lM8UIui5y8WJ/iMtmjg0eONPs5BZppJz5cN2qfdePgEUm3rNVCdtveGrhN/I9DTNOTBGZ6s9+mWx/mcsnfQRVTEUgaWB5vov6uXQZBMT0gf9TUq86twF7Ihkt2nb4V4JORnhklzRXLexOC4gXF/jQWkZ0m1waKqReuIVDX+47zfkSgwJrEyiIsrdRJS8VVlHagzJqRQBeUSp2Mc4lDq+lzcVR86E1poJPWEyxDhg0+oTSg5jvo1RRUgds1O0ugnRg8aVCJE+tf0ielejQykEzbOK0ZTQOAqE64DAmRWwWsi4bR8K5iasnpvKhYDcUHSUc41izPzly5z0/XsOPq9ad1vRC+GqRH/aVC4KBPb3K8Jk2YvUI8Pve5l3OlJrKbQl4v0P9B8NhecvcdP3lJUnwGmuzNfZmZ/6q1Kc8UW4wsCiFjqNRmIi8bcXo1qG5KOFJED/GGpewLWWMJb404Z+Hz+ilS6Tt+NkWj00BRAuenKcYFfM+GtsQ9Zi+zbcCfM2EzjpmZa6CRlkc//DJbfz5/T72Mqv8TMaQH9TJpN9f0SrQgXXHFvR00JJpptoDnagQE1xIF46dzTBIQraR3Aprn5DvLF6NP4OWpiCszHR/STtUotBW7M0JWSynhtxU2A/EOILx4OOFmJs6YBz/4B0wbpz95LBDAI3BoMkqOADmnIMAAtAIRYjxx06IVUtOg9EfXEDP0oe5ksfturABnkgeBCH5VRyB4KJ3Y7sJ4RsuuuJR1tXZRuSJiGlCIldcmAY/OGitESL25480gPri7SxHtEpFbVLjdxBjZJX2GdYLHImJwvH+FSePNwbJ75zUnmoLpTViffIdSoY36zpCm77xD7K/SuBc5+wv8IJ4M+RHc7MQhfTyn+h0YMO9ThlAf9tkB0br2UlQQ7ZZOq7r5hgCSQeQD8+6yFzuHS3VFuTwvVjqCu0PORfpJFO/9PrmB0hOxy9WaO6gFlVMfhou9pxkqZzGn7l9zrbHSAlK3EF7lW/kkQTBd4W8faqRe2Y5RZgyqyg/wdYVZzxeYxPUKYz68aCYNc9VAl2cLtNJiLbJESW9d/w8P/vLTl3ufuICsSXrZAzfAmK7a1W/gKZk7MHW1nniKN+v4IPC/LeiuLuUlMwH3DGWKW8DhOsf44ClavVY5THOK1h4ZDXjmd54HGigdSyu3dChQBkXk10jxgr8h4ID8S/QSkqTlWHjI809Tn1C8VXjJpN+ufBhSpK9K8+cW3lQ+wcougYjP0Su0maYnbFObjRHtZLYfTjIbqH0Fy91aFZ+jslllARti/sK39vFHtKBsLVcaau6/Bl+NHWXbYjevRf4c/aSaNQZYmmanTKb7bPf3hxbJJMsPhcT+KRH0qHyYMY1Qv1kzcbIy1fGfyAwgE96ef3smvCZtmk5oI5OPwyFHXdbiKMx9Ji/MkfEcVNPV8NR0Pmm74pvCSr84Hal2ujc5tsDg3E/qi4C4wAAGgU9GJeyLlf4NGZG4zQaQ5CMD+tCBtTx/z2jXcpvmQJLNuYKld4XulWNF+O1uHQNEcdb99rQzciagdBvaIPts6MrZk+1xRGwMF2hOwvKbp9W/Bfp9i6ZGrROWibJdTCPSDDsB/IOSEx3VuT3PyTqcH/k4a6a18Eyo02t90TcAxv31s44iyYWi2Qw1TVRLRTY9eqt3w/OGtkxfOflvaPBQ18+Y6bH4Bnh4C+bqc21GZUuvrwZKk4BFmCZCSkSdfQOrgC5Wxtj27SWhJkYe22P33N6keJAgHaY1nJNsaZ5BHfIoGGtN3Tn6PQM7ZP+knGvUX6Rrg8+9LPimJ10baMhI2Z618+pS3NdkT55M0COl6n6CvF7zXAtAB85xJy3hwmu+VMvljv6vXMhh+pFh9QAwdWyA88dyOgoUJeLvUOpmZua2ALcNoPVwhIyx/xYXMi5PX4tgXayRB0+MVRMi6nhGO44ea6Yj5zxZkD76NcksxWQft4B9HxWX0nxSZzmGEt0Xj3e5nV4G4dJqN0bAzFi+rG1NM4JjwJJ0MjsvVpdNSEF8xz/jbsuf7c4YVBodCXJcxotxKQbG5imNeveZwJdIosgET/ZdZazeasoXWrpHd1EGTCVYvQSjH+yTxpNJU7FY9lLOMDbEJAgjaezlSgA6YqavomQllJv0QQlCfwgF+w6TDugHDEBg6v1E2Q4T8ZZRE4CA8cKVdL4G8wZwrlNhv+R4d1CkHUY313r2NCXl/SS6wkps4uMZkUJ9xhbIfogZbI2xc7k+O3mtxNxdvmRDUg5uay0Xt6DljeJHBRyH5YlzeiWKYCNdR3EFZ4xymbb6BoNHygkaDKiA3eIRo4ReD0JnPQC4WaSqSIfJXz09chmMO6KmvfpdScbqFLixhtRiOn8FV87n5fEAoxexFN+Q4PZ0xAXemIoW8SDUcruGa8Ai66o50wyTfufOguOVJP54vyim6KtW63i190kIClM/ngcLAlMpLqndQmr41m46Wbv+Zzm7cpFQyJXP6qFhoPYwaJ7uw+bgf8/vqX691LVRYqPK7PesymX58mHbzzmzNb0LcySxLHTK6iRWx96OooDOyf1hjNKnetprEDpKh/tjGE2+6FeZdgNLNAJZuKDjTuK2dAJDWQ0he6yt67NywcGV55X8FsSxi+pWB9qPYwDiTNBlRITKLVVc5uGiqNvEPgIj2uWIkBdLWT/9qGDYzDONG5HQajf6KznqBXJ6/VSEJuhnygGrLUZ8slWaXZgwErTgk5nHASRw4nHqxv3GfF/vcxA68RGbjNZnoQPE0AusqLAono8VmlTW0KOeJcBS/kNLm4LCLxKbSsX3XcW722XNpc/IC5n6w59Swhgdc+eO8F4eFU6V/kjm7HNJiFROSNAi/74Jc0p7zqycbCOFqaoK06QAsL+MwgmRCNWyI8RbdawN+mMu905FRslVq//GvnsOQe3wJskt5ag0IGWJmw/gwGwztQ71MpttG9sbTZNHGNXPASd1TY/LH4qUrIo+wwzEvq7rgryJu5OQ0lztxrmuwQCwacfEbrzHXhUmd2FSaQhLDqEZDLEtxqLVuRpQjDIlFxJT8P5xIE1Xk6rw3vB4OG1EdqktjiQcgJSr7FsNYQqcDrwfWfFrRv3iiTUt7iOwB+B4//oAWdnoUKwHp1j6RE7FvrO9w9+TV2R+KSmofzXgIP6JlxIRtVZAwDPWsfo0cdtsD6NXBAN8VttC6bA2VRI+pWZq8rb+XCrUwWln3H/OYg8CP0zBxa5cR+tu9kYcIv+eutiXIyV7YJ/oMsWmG8zND0dgWqmlBgTYo2vsU6ELkYxXNpcQCsHMnPs70eOibVX+bLPRoxAmBLIMzmHYgFypPKcSG7XD31+ox5eXeFISIJsoGPjVeq2lr8982rO+PM/vbo13wtHTXEHs36VhgY+CwrXiRm3yRfN4ghPU2Iu66QNyJYdnFRiVwVqGCJKlyJgKrqm3L8IMv6DDyPq0iAvEkNjrDycqccsBer0MeLgrfXf9zGyY3SOMrTGBQMfFOy1xY5JODy95XbZSaao1QjWLy/O8ATtkfKlFWi3+vcPZbEqkBqqF1eJu4VE0VQNTx3sN9OGIHqqarQreXJhpLYmBx85BhFjPwgkZJ0F8YSPjQKGS/zm/IKiRW2cAqB6oijrF6Sehg5hn1a7+Ao+a09S4zHFWCLhotKEqvyOiL1apz3fj4elpKa9xk5Vh+mUllhhYZsjn1/t7ttGA7Lr8OGw1X/jVSuiOpIR3Dbw5qrGt1LKe4gcEgPJMQGS4DI7753gA6QmCgx7heVbvtJcKZp4HVc8OmHIw32bcEkz7AjaUwL5XwX6lcV33bQuZ3/YXt3g6mYqfsOdIkTPzSmbomWWK3m2TygDmimIbp/infs3MvBn/GEJqgOc4XgXlBgtVbVc0St2aI49qtDV52LBLzA5sfdgOWgsC/PfHeOc3Iy5fLU/njQbLp4W0Sw1WcILzDblP7VIvEx8dk3YLNEsNKBnrsbbAffNqw4UXclrNJgcYx/1U5cLVasqb9pPh5a0Z9GkM16HsgzzlUsTIrhON7EYcJtS67H5NbnwgEORGstEuqVqDItwWqZZfQpEmjRozjYpJo5HUqLOYVW4Or6yo/pXzZROeTwqyVWwyCjqdf+oTTM4ZCa0iD0VqmvGZybUql1luJWKC1NzsIr7Ar++P5vRmt9GavzXEX04GNOtxV4V56y/gKsC1j2mBG+xotXl9cRyAwD3BwzaJbAJE4MGopmD7qnwNUOVXf3HUBhkMFVP7H57JR0ad0Xk7jlwGzq/N9MW+Bph90t/9K0QqBwWn9DOk8RT5SWVRbapAc+zUlxyaoUDeNHTIW4N2PbrS5dzNni2ASKaDUyicJ5g8EbZ4SeXE8YtMXVHx7s83PR8gSwG+o8Io1lwPPqgHWnDN0Z6tf5PmoQN4EaNhFMs7PrSaoRgNh+FyO8oB9RjFX1GbQ1WMbkFNoYki7de2sd1fU7HwTO3SUvPsLgbkFexGmYvWvuylrde3pAAPGBJBXOt5ILgIAIg2HXIYH8Mw6K1fIPpFaMae//wWNR+MQRLX9sspqraEKhpBMO8xX9ZLwNDR0Fhk2c5to/HvzrtK7/jovt25oHTtBW/GPv34cbfQJPrx/K3MpD5e57UoAZaEYVijZUKeEcGwGO64G06akD+nHJUaHCtIKa9nIgPkD78c9m1dEH9vCWjyFLEy9cAsDcGePv9gTnerZn5B+6BmPkYPad1C3WVwGriUvKwp8WPFO85CCp4E42YiRIJFrKXcpwTqdL4NYAUOFQcQrdD0id6mjqTjwCjyE/+HI/eWybizbRU9JIK/O5JYaIcxMyZwByo+sgXyYljplsfuDSMFAjObgPotsH2n5Mh0dHFAYMOaWx/p3UuO8/0zTqc6rwXGrTJr4X5vGtE3sgrxvReLJ7VGW88VVcge8uUJ2Iu/6jNG5GO0uGyvllmwQa5NOH+to9wZHyXn3G3jWcFgSEAjz6AsxyHv2gT22ZAuiC2PHR/IO4tmkk+B+GPGymvZR0fuWFqF/7HBn7pz1sD9Gc6Q48r9CyG9oqoBHqRbuGg9nYum/yumjWHw7vHPi5e5d0LjrfCS9CIVdcwrtE9C++qrTYJqoNKbmQMlLBhMx16/ZNaw/9xNmSQGmSsRbBreG+U7VeIurCsJ7wmCyYIiLEYC9ALo6Pbotx+lliH7C4KXbFGgQQjl9nqigoqlLWwP7NJaDWgwMeZ1LKlGey9n2NE/cRlrOXXQvj7kNjwNsKW9gSi9fRObEbfgXFL9EKsPhnqofy90Ti8xeXKNQeEl32o0u7yVIiUhibcLGUrY1/XqzMeg3OyJqg4FnlMlYbbVLnfhS9tE+lVjNuujssQeVf1fJ9K266W7Tu29mRp79Vd3EV2MfVL0Gt2f0CsJ7ApFNAMR69LbodDIxTAOLTAqmaZ2ERa4OmD7JsphyUevxpeO+X3ZwDwGrlHtZ9b6z/8zC1X6G1fkCmlK4W9mitdS6nCio7GMxoDht9erZBMAjn0YJNpCCktgTHLPaRc+7HXnVU5EzlrTGsYYmld8u+xSK5ehY8fNDGqZUwXwjMnOzuSqYbPF0u83R3PZTfD+Wq0CZRczxJDFKeyQt9+qbpLu6MTIvr4G6lbKd+usk8jjVhI/cw4CMhEnZciz8ojC5bB/mLQMcyXqUuTN/gCoqSzhhCOJ5uxN0xcfcXHpbTXcnNG0SPaxa99wIWfT/kKU2+3xr8NFxT2VPxA+8Dz4dfzfiUmrRz5ZOovG97K78odrUO2NgTzXUA2Ivoup9JqCnhH6+7RPjn2TaF9h0sHt0HAsmysRZEwK23x+csosorRVJ5zHcZNs01EI4jQ+I6/jGbVjZ0LMWcU9wVW1b5M9Vnc8mOfCylG5K6HEcTlhYZVb/L9t6uYhUPopDhFZhBWiUCu4uLiX25kKZzfN+UMILQimCCafKV56y9lHmt2Jq2/e3cTi1YJ1EuC41/KaRn+msRvxpARCz3CCMvDTdqIP4Qa6i6Qolxx8z4/R3urQD59sGH3nmxSf/0SLbvp1KyDq5NjmJNR8rT0aXT+DxKjbQBfW/qIAZybokJ3s9WRI6FPfxtn1vAGxmR6hLulzR2i1UFN7WAbFUNpc9/sGr1/+DN3mKG0w1vZNZZl4PJo6ssEA646W216c1Hf+7URk1ky6SdQk+sPUznT19MsdrhUD0xDjtiAJGZxvdxV0bBiuD7vtGVmXZ/42RNSo9QvBv9iUWNthblU7IvolDHVmT+5XVLWNuPvbdtOQ7RlDpyX0IGzTfGc0iKuE2p3R7JGz94A1MJnIs2iT7P+3Hkt+Y141CDdOeGdw1+AB0mwl/lEKRIjohpVgFnNic7ql544Vdt/KPaDvLNjpBDNJX5T1e2OvER9mNT7CrzSG0Mu5e0OwCi9Ug3VpFrh1hCTCqTwH7NfA3eQH5aqJ1gh4PEVWuk4KebQE2txPZWL82DBiC9Bn/qfRGz8HiN30v5yW4hL/wdwQ5Kr0f77y8+26Euw03KHoKU5cVKksZkCHi4I3OsyPx85O6m6flxw2xcZ0CKJRWRPLvdAeXKTAz81buGm06T1+qbhrQELApMDG3LBvOUayCNEZ8/77seUPfYffeQBjjRRxlLFl3saHYSyxouIcM/D7+9tL78aMVbGDOfIRx/02odKgNJ7bNAtIFNVRv3mcKWi9f4/PWAW7NCoXYwQRgHneSyyBeQmzRZQxZenNwaAJzQqVjuYGWyPRerwcWRCpXwqgLnAn8Ce0le/z2QQKPECqfPxMe1FdPwDUH1pCL7khaPW4pWypQfYiKpBJ1P3YrgvTqtlpLigJcIBBVk3yIqjQ+dByemHgOS96bqvOVO2rQEOGXSDFa/hGsJl0Tqj3IsUxatcoQBGoE1FiN0QWc5LJbXTWdYBabCyP5P6HkQtZF5D5NFGMFVL28Fy24X4Y3fcVKPEgIN2WZGPvWQ01kodJBcdQFxszlRADAKIcb20MqAwHlQEqaop87Fc8VBFySqpknnvUmFM6V8rYnCyIT1AkFkf/QUb7hV7jgsfLZBiFpUNrNlsYykNmiloMwHq8eowqKnfoM8NSIF16WPIMHeSTgugBWK7qFR8FPYCGYPpdaqKJvfKF33TV4nTBM560tKZRHscucqR03QOJJ8OhM5YQ60s9aQfAo3m3QTPnmoXiKZBy7w4h204FLyJdFa1feoTaqSxb2QhrCYMPVXjrofMpFBiscQM6EwrGyni3Qdqa1WqL70Dc9rB0iaFFg3kABNqe1XaZTjZ9aUduY7SgTqO1YLMqKdiHNhJmhHxXWVPFoSzoZ7bwfQpjJVCjm8FDjaZGQj3LJEQhKvGlAlvU7HrNE8Q0WVqt5dV4JOu9Z1HXIeyyw3nhd66wFMhcUhGKu20gQrL8CVoPqwsqUBd9yk/+itfgHgiF28Y3gWjInYkOISkVgVMkwLDwOx+rN0TyG7ASXxRGRN3+bef3V5mLmTNTI7En8AOnCn7Xfil8ShSJ5IVkGVtdcK5JkIM5iAeK0OUj5VL4HbiIH5x2+5eA7NMK8vYFKp02yurHK4YNFEO/phhybpLBwiAA8B0nHPovftZqrcH2anZ8hx2qZcARU6ZhF5dWIpa0ClDuecMVI8pZI/2Ckw+whWj61GS/KzvS8lOx0EpEaEpMjxM2ht9R6xW//qpJotiDo283dc2szEOOh7JnBAiYL0Xp0rSanV0x2Z3XjWs81oERybASL1iiqRqb4+Fh2aT6uIPQSH0BVU6impYIlpHpYHJ2d5DZ05JNAAEUgeJrIW9PfbCTCEuYo07iYZzxi+ZmtUappI/DBcwhEf0oDLXhbn2akts1Yc2iyNstBd7dRWY9XBgM7fWGaM/Bg8rt8Mu7CzOcgFs7+gyXsX+IMHaPs1WNNJOz0al/HL5o+ATn1CHr8lH0I+JIJATiB7eDbYAhU3ripzn1cxTU3EVmZG48hOdO4FJcqZC1+mddfUlNKaNtWtoQrVHmz2Akx3lMS1ePP8tI2COTq9IZbY1EFYhBRVKNpgucyv+BuqeCSjsmSklHDipXVj4OIcuM8Uf+ml5kqz95QbVfwsVf6SrnvSFPbj5AlJbX8JlXV+6I93bvD17/xQY+eoq8tRAklq5WgTvqa2URuGnP5wZY4FQEC08ag1/rWIDQey8Lubbdub725d/zTJi9WER7jRQuDfzwzNx/f2JZbniMn+wg3mtBsAH86QDissNEfHShZ72JX8rVssFZeBXiNrfAk5yZWUSbsoLV+gDMYuxJJbCBy92+WPejosOeFnKkuD2qVivyxJ8EbQP4lohoaU1Lrv5XS506wz4WgZG60b+B4SYrOtbuad+fl+Sieyf/TzWCG5XKXP/3dZezKZY1RuuBd3yMgPCNq84zkoN/EWpv5+dFRVaoOfj8msaWmpNa1B2vyhkvtafcNJdyzAEwwTDPHc13GkZtrU73j/RPW+5T0yqaTRp2nSRvzK4HIwLpqUkvwvqtJOi4cutizHvExwk/pzwiYreq7DgGZYa0/1/GhDHmuOlHVTS4Sff50QQZ94RoUS9dP4nqt3Sw8SVTNoVrnN2JkD/eFpA+yhTU8alGdL6ZN+pgDEdH59zSXSNkM0BlNSXgnsIX2rwHIKvCmToMT0G6uC2BPwiiKhGpjphh11eFmjGXG4j1E/ATgSSuBdM/cA9tpr4nTm0pFt6wUCOSa2L8kRe/cNognpJtyrGMiyN4yTGEl8vZDg/4U44gcVRFm5lZxpPRWQzmcBMPhCNQQp1UNpNP718IjQPgJHRZnNaYt5unI7aJ2tnKFChY8esUAzFt3WzgYQw/2aMjA/s4G1JdT4uDJaNHzKIeEi+xCMoy4wQ+E3XKbpcWENP6IHEGibAAqr8UH+dtkR4uGxpHRuzi7I2BAEdR/8yxX8qNKElkHwkkxypWEE5NClNoymTqVTvzH24h5ENJZbiOBu5MnNn6psjGYOI5qonty6/NkgAFd2wtCpJ+Va8wTHXcF2J7WymVEAbEHxEQrMgs9qDRa4Loz+D4wYQOZy5UpIw6+8Km3rF/+jDvB4ecO/9QOJLQjeS8FXSwf6doeZXNJ3xysUbrCw7lH8vODrPkwdBZk0J5kTSXGnfS7Jei1C5QUKiEsPu5Cf8+7P5KUy786muvCuo9MXBjgJU7ZMdI2ledKWsZo2v2fVUyrcwLfXg1lANlxqAyvqNxR4P2ytShqjGpslhse7lcsftduvMhYkWDFVA63pWW80N+eYROxwMxZ0wilTE8U5jLneRXEPwpZwl7DNU69wpq32gQD+TOS2fzG/yp+L8rlly72VvFZvqWBXrkj+wcmuajkeeWVydPoz3l6oi8nInPD9O83QGjdREWIQyR6NuLE74oYXniPYGJGMmF3GSWgC6AL0iFH9mwrRsWeX0coVuF9KaUC0dcXz5a7leQK7vWOH6J3/JfTkx2HmbnTOzhnGMRTXz1jr0dHJ2w/J2bAnlhZFa29revc71Mr1qXmTTqvh/0OLT6ynSd/XjEF0snKMhF0yWP7yoqa8sQqsfpqfH+1o79ISktLTq72djZOREb0bvLnXfV4RsJVZLpXE2US1Gs2EpuzaCVtTxqdtKsv9nEiU7vNUu9HWSmMb+1mkAAND+v4fywq5huZfBYobSqyYvZAeBwjhm9j8euW5HiVU+XzQ1KFZ78tqvZRQicPgiD20wmQCd8xGYCNNuaNKgTBCbgRLxri0IuEWwm/N8mMvzWvLSGA5xL6ZDXg+aK/CJ0CnhUAuQvEmSR6wXGrVseSK4K/mtpQ5h4EXnZbArzEgUupcPR6rDFK7Oa5a/XiDGjfmRcq6lG7Vy9Ad/p+4LNWsxK236hfBKWv2JGqNkxHTqnqL+eokdP5T+mcr7W/8L2ElECEWcS9yN25jLUZiSftPY8HhRIc0o+uxSymQHSO02joHCE1wlE8fAY+KNjA7Kj3Fh2tRON98Lym7p5CVaTh3gh9PNyEFLoRIEPIK+U0c3obB73CrgkKrMI/xaBjGORF6AKoiYz7OZ2Cy3rV+EekTFaYEx2ammBrcqL5rw4QZJydNWv3W1EIqLIzclt8DQw+RveMY9eaoBMuRbUH22+E5Ug0J8PWuHYjj6t9GQ9xzAKLhPmnPsj9903Pr6KgwP9iHhFjuIDHAa/orZ86VDybSFhpDu7MdU8nTDCwO5temB8Xa4HrH5673nDO9+ZWQrbmj+0IsUbEExLfcsQCvATXOTceRdSwmu1UhtmJ5XIfCoZBGGm4I+Src+PdzE8M3jB1Tm2ndcyc5R5NxxvJYPsPsuy8wM175d3E9ufjTXibb8k1QoRH0EiI+qfp/5E5zU7r9/gBuHMoz9pHM950TBYYPNf9TVdoMMiHe9szHhVHuGlZtFhAX+76Nnl67Xie2awYDV0lA8Vyl3dmM77000jYID4yJ+NbXGbUuXKtqXlS57gOxwkeHAchMugxOIG2LLpPoIjS3Am+PCbN79itajFRbkbCYd2zeINlhGY5F+udijr+pmsHJ9uW2Hjoov9vga0L1iygNRmef7oHJBeB7Kn70plkTwxftYjMdmqvXfXAGXqHNphqVGaELSkmq86ZqyXu+iuRPwRsS80IO3wiRAg9oREmyTaHyfJsUR44s4hy0Jh67B8VIBLbxPtuTOy4wbRjGNdCAcXWJw2Dsu7lZKnhyQQ3PJ9FUwtmNC4ltn1ENH9LVzMwDcywnFovTP3+spcNtL7TAj6MAATZLthifjf8xHhfFsZiWkD5ytQeMOzqXHoDes0vBBZW3kUQtFuIf9tN7WdyKJx7Moo1VQNTPCOcKnHQbH8MI5jys7OAZyHA84IxbU9r2iioeI3yZTXMgm5Kma83D+PusZjo6CBDkK1AP1WDschD1YWdBXukFIBDKi7gDv/Jw9kucTPCt9djaz/vmPSK2aQqU/UzH8UsM9xSnLebySWRQ13ZGWR2d8CRI0RBOWqw605yi9cpnckLKzXv4sDS2YHjkAmNXlYSsOwQOpep6J8qjQLmw3MJ7BMNMpuITtEpApWcsfZh9H3vASuNwHRaunpwaihFSDJ7Gcgz2qYqfxUUw3AIkJAQEigH/jVn9j8bvXigRe1j0coO653Is7azYoB5qim9elRHnBj6HTWjrZ+smsJfLM8fjLd+0O75MZrP6dxMM6DUfs55SBKWHLVcJcswQxC02I/uS5Lmq5mfQ8Vg1hnyJ0Vs38BbokqPRTuS3KNhknZUg8FAspQucfoqgSEyE1p8KoSH99h9VII8MSDT3cdpmfZ4mZ9RzrvS5uN2WfpuqsuC2JhbWT+YgMC9fQzhdNJbZRAxaG6qDtlAdxUrGnaDMi+8YT5FaiZEPFnA9YDOW/uIxBI2KuGrp1OKWuSeUERAbxc0K7Eaax9vf7ZgYW4TZye21rNGww1vIukBJ9QSE4k9Er5ca//su7LoC774UWzth7JsD1P2rj63PmS1h6TNUaZIpAAsnDY/etFtMjZu1RSkwduroIbqt+3DnDKaPk3TEmB0XaebOdUTR+0qpBsYtI3n/Dztb9RNOeCUpAA9vmMuVwpNyZie4O+2cO+QtGd9GaLY+pf2WmMktLbb62v2WoemHaeBXUzMHDMkvQDmvwk6ZK0lwDOvogZ9mq9s5N+JF6kXdgy9BMSIIne8E5V4igfSRosNpzhKQ3uQ6Ene2ktw7I9wphPXJc6w1qSsf8cu7CTZPSPGSZxrMy6hmmoeCw5g7k2kG36Hqe84gsehx8ULNqOG7G4+eFfGG1knjYqUKD3lOjG+Se0/Rq7iWOROGquEZqBDMXq2RNqXwYHvMxqxRBdehivNbm0nBYdmZHLS0t/Vett1JSnjERL79Azz9mFQb2/FD3O4bsI1X9koxWsceSa53NRKvVzlU4CTIrS+nn1hUFTHirhV7BiIG1I4oUCmaNInYq16N576pK1NClFuBqur0fb8yMPkpsZZ+1j1pfHQ/3aKxdBRPsRRsxLgYG2AnhgMZW/34bn6Pgk8N1EYDMNuPh8JGZBDNkMUddyrrnIAhCJzlrrvKbajeShRNEzd5HLiEp5XC1WFeTiH1UmMZ1Uf212obMTn57wlkpCJqFNDg0FouwdJQLoTG2uG5PPaugq/GFnRu6AXgHa9+O1lae8QVGSJyr+DlOf/zmoCnjtV4QNnHkrQ4o6ZpiFhL57clpM1tzSCtR+lZNthKU/gecW3JPWJFoZbdl0JhGCtBdoEwrhKcgEHwUUM7uRvrDJnmYEslxCgz9g4yL/IbezzKRdI5KrMcTNpEhWnEXE0SdswGzvP/i44wLbmeWHQc1hXNpCYYfzxyUOrAT0TFOwcapJus/z1qrDwlh4no9HZPNYvZ0tD2ILZFcQKrD+zHpEAn8RavqtfPEYFQ0ej+hqvqMQB8M3IaezLvvaGSAvIO7NDRjWLxPOrvu0AIFy5HHVYAMe/MqqRaAq2MIaLJFtS9Dm7D64EL/yRv+Bk4qTyso0yEDNaL7aF7L99bOJQpIwtndoNAqBOocrMbvIBD02rH3BGwVLDlBX+dc2kdDmKBkctEDTNb7D/enrKKSOCc4Dpidi/LJPr5Khcm5cctqbO05lmoSuu4oaAeecTKtku/hhHWI+9oTwQQlT5jXAI3WucAQaBI6CBFt7S7ELAmHOQENKRsJwENMe9Jyevm/aVkwuWRweOtzldui5yNodbLvJFbcvGS+wAAwub2kBApBMI4l8AkWlwN2fMVVv2MTafFsRTWOr/kApFqXYHTFWSONPeBz6fM1TGxPFRsOJx+9F4Qrc4bMmwSMFrVgV5CsMKmnIIolb0LV++E9vgnW9NKWnpLm3DdLDSlL9RgSw8eDPxplujJpzW+yBMux5+KwmnX6/Q4f1TXo86asOOQHSn+9wTern18RiTUJQy9rvIJQ74sgwzQpuhll871fkmBBDd5oysuhgyiFd0x+mHrlK631ei4MXgkIf9AUHCHkM1nX9vmvNRfZEK11YB2gbBWsKx7MY9Qco4+l8EeWu+aZd1BpPyCjNgnCM3zLD5S6wKJ3mET/zS/PDoiasN2hh8nJpKSjQ9RXY8mC1ee/4C8wtrOU2hLT9cG62kAHvg9pVeg05skAurPqUM5/oa2cnH90Cdpih9FdnUnavIo+I83BYK5AHiUnHUmUlBXdr2LcGaGE7TVbIR19e8uG5+NwfJHeV1KcvqboIVS0heiBg4vTiPLuxXzsL0OryBdbYXj7je0XJ6v3z0IDPsC4dQqaN8hfRO5Cvd1l97H8a07vUXOJfvFUp+clwnSCIljO4tjuy3ZnH91X8th5/TOU4jgvldfl+SMTF4tHH55CSF/ApbrYfTFYy05p17sDIWHcoZbWE0G1qcTbp1VVT96crt7kvtblDr5XlbQLJJHuUEzf0rY5jrPNIf1POe+MdPQ7Mg/aNNhNyifgHqrT0rVlJrk6i0MddjvqU0r9AqfhBmddd7xPpddx5grK3BvifCcQ6/J83ZDoSuLFXLlD4yZMm/RrFuoGz7+KZfGBQoJK5VhHdfVgIdwLP8tomJVhUDbzRvXWdp7c+nn+5MkId1QO/EzJ8PLXJdQ021jAKjSF23t0MzkpFu3tnhC1vJgzk55vYlgbFnWvefSl4i1i/X4hkES/x1r1QNA4Go6j0huVCxjmqjnnnF5HTOKprmySLtDiszsezqZFU1SvoLGuwL/GE4rVRIzuGvbKGxrr21ejP7T353Mu1Xph6uJJGoZGuJs3pa82ATa48i0KLXRlPJiul7FSW1irszJWPzrPAbBpJyoJlLJH39GDm1VLm8dBLZYpdYzfAMk3BtFQrE9jpa8ecPv0Bp1kdybYzajRxL02YDqHQVUAF1vPzlGofBMqY3Vb3taS/rSqkeSRbhT1b72BHb1gUmokORxsaJdjFU0kpjOs7dBsy6vI4w+PkXZa/r//l5sSrMcRpm2KY80vbbb7lL1jHkx9+OtILOPf89g+75IL1SXzrGlPf0XnTCwizQV+Mn6f4rJ2YuagCVKeWDvlKdPT5C3Pj483S7jenmr5RdZqwUzOsIon7cpeTrMw5/CqtR0o8Oo/BREahAvL/W7BtNPXbNH9XZvMoM151Z3OtF29gqf/Cp/zYSMFErGCSx6SKlrYd+cn8mH5eCfWKtCbiSxgb/fs7OxV9lFa2i4YG6f5vNphTZYjVGqhGTZ2piU7LC0rrozPN2WvotJ+25f+SLByEQ8S69Ms4f4MlhGsdaSuKXsHps5cH1rADKWeujXuys5Cc8b7WlPEhL0q2QojMKY+FTcTd2caJiSlFqDLSbSRY1WNQw43eQZWOYv+8Lw4z08Jo/6aM4L2Z7BujNn2+sdG5tDU5l+HzxN/AALHV96sKRNM7w4LYpygqVE0xmV2PgVuXMgnIuCPLim33Mi3UYSDYzkoMFFB1lmSRRvNyfNeqdrfzXU0SQuNhM+YF4KpmRTgZX+F3ZFH4Ug9uDY34CMIi6/+u624xwlewchcJnoyo+gTlVqjTcdY2wlbO9T55akhL6lrS3UmGuKHOpvOFRVmb2whuxmaYiiO/F/fv7dKg8ejaHVhiX6UO6V6gxfGsN0YdyAe+0X4Mlpzo6gKWz8ja2RD86ryIPXsb5HTenWFwYV3XQgLLo2MtTVWs8Yp8rqXGCQmYQlCUZ8u3h4PXwU7FGOCEDlyYvyNV57CZNbguEYi9hSYKhKRqGx9jE6+MTs/DkY0pZ00rRMrvbk03KulfjCZJGspPDzYMSBvqiBQNUWhrdZe2ZCs7PLDpEW6xl68uwO1uKAFZpc4ZIjVpAkJskUc6ZXxnlJDZXB26VngcJ7RqHzRlEoN2pgkJ3gTZYjweomeGuNPsddokbe8XZWJAs+ooRJw6rn0TlYKSYh3vvEe5xpH2eOVO1KdYhsBg6Hxg3CciCOLr3o2H5vq4JndTcD3t97CTibMkISDNytOduJqwNyHaV0P1bLs9gFkJgP04S20aPBg9fHuCKvpIijxIZGzjMPZnOPyICAM7KjixYgBqvNPAxagMYbYg2hSUF1CGR99W/Dy1KfcR8FMoPDJioNBA7xgvzIIhJYHcP646aGR0hycAjyNhLKex9IdmpvNVczt78AW92Sr4Fxtm7uYtixdz1nyMd8Z2gasIsScPNUU6oIUNA6xVfmDRSOk5tcWSYWUdu+4C0SJXptnvXCKH1KVRpkVOxqaf1pvv7ipjrwY0iBca7hPODYy5vpJaH+zhHcAaj6NjSSexI6iRLglksVM4/+HJMshTtNBc5wGFVmUiTB9Vm9rw5iHTQ4ONsIQkxP/PC6pTtgDfAocB5xyk+0pYhGr3qNM/geQk+QmLkAEWywBiZ3WL03thqaFzAG4ubapqREmUVRaT7h1D4IYdSyQFutIEQ1/zrVrYI/GJAem6GCMF13NndTuCc+AOioP9npdx2tgTmINkmrhVXNAw44C+pqwFbMhlrHDpxbkglkAuB89LkL7Lzj/OhBplHRcWMaiI7stDWGPmVo4HMSpPkQZWg8w4tWOpFZadTJC4D1Huxh7HDkk+h78Ue3qGdPsEhZzaLfejbP+7Xv0pT7V6kQaXEzf6nPxGdVImFzZn+UGLGEAzcH7MsPId5HG8V50xpWnBIhXt6lIWtX3aIQCBj8y5pDcf+KJ0lsHrPellkHoistpkp1IsOhFlB8pYDMdVdR80M61e6IbN8bWw1q5lIuQYaUMof8/6+/V4Lq+Nwecigkhc6He1mKLFyvTZ2hurq/x9AuXP/L7cksYxOlImlGTldhGyVwcvBZtvS/0P+C5jgCgO7SC3AKzfV4XN/eIxp6kRKFFFiFLjb0zChSNLOF+BROc9d9KNFxd6mS0cflY6Vw+k1z/hD2ZgwuiNc+2E++H1WdeWoGJWB3yy36VPRHJPzagXk2UNv+bw02qYFNdjhhYgldYppAB4Yp7aGPeX/OdP4YBptlWsHbSFiR+oT0wLOpUpQNXNHDptzfJgMn4B8k5+UNVpGQ5SaNme3wHzWoLXNSOPBvcZMFXpAeKZGzN6DHwMu+fr/jhyUgA7Hw8YaYAN720w3IbvzR1tRIZCJ31lgHo0OYe/z+IfyUCgGhhzaWC+PyFI26MszJ8j7mKDCjTQo+cL1xfcQQxr+cnJhbKDkH4gBdIbmWxRKxdAfJomCNqguCKH9vSqetBt0k1KOihGSc7emPX2BbA/ShcldfEtEeYwT4jUR4rsO1z1tzbhdqEIYBGGli2gHEXm4RWm62YNjt3vYTiqJx20c5Yl6npVCozTgSYeceAXvBVCM3N7V3fV7XkZurvu+8RJ/YfcgP+D0UFa9ETznKSG3sfeYktL5REJRU/CjF+1eheFujuBGXuFFuVHqOb8tpBtsEVv7c21nuxFBANkrbNUM5quiRT9pvHo+4KngST2+/vxZj+nt+K8c+a+EufAlHhVtBfcxxpjIiLxgN+Dwb1nqoTUocfHf3FfMEsQhTBoxBBbftaYgfifC1UVf5Zm62ma+FiK/Zh3xUw9IzjQfvkX8NBe5r57LF3zxWXh2G+3lGY7uLic91YD2rua4pLQ8lu5dS9xSA9k63HVPg9B55hg7Xokx3S8cRx9p595JX9cyG2YaMKZarDukwwnxb4vz5in3DrYJEm2sM9UihsHJqg/qU2qbWIOfbLFRb+z6Mh4UeCuuKfyBAvLYc3vI/OyH/xA/I319OJ1JotvrmXUGVyI63/jEs8fYNi6uZnXz+xHBT1SmEi3rFBAOBVXEi114QkH2Cm25ZnUpE83JvR5U0cfQLX3bIArhg7a4e7P2Sy1/awJsaMuQsQ2CLxXNd/AxMNiHq+ZbaCTh3CTdCi7afm0poZOgF6s76qEDzmZiefnH8i9nWhuJ1SlbQOPYI2auQU15YftYczeahca4a0pz9q61dv8cWtaH9isIPzxQlqEUoe9rdvjUPX6dkkbIWLuZDBfNa5UjRU/a0wjTaMb8ca7ryCKbv2Pcu8A7EgtYO11NviO/uKQUV6y9kSVteG6kxzOvbTXE8k9flDqr2b7BP0a4QJncGKCHKrYhernG+qMCBbEzGrUC5D2bLbhLQzziU+VJHli16RiUETjJwvi8qjgnwCB2iIHIcm3Uv98+cFpYNrmSiBlztPk2kawFjzyp6s6/YjliCT1C4d+zcQF8Hqaln9jtNoKK5gZO2m9KnPgnIDetglDv/Ichw+Ua5dbdwh1vytcUsNQPqc1OUSfQsNRPTFLXkdaOF18W+TJROVavIRFeh8yZFxxwr7pucbH7GGt/2PX+69hysdc/Y8fehvqHpEyVi6HIfQHmogiYEuCj8Rvsd1FK7W3L2Ca5FkfbnEt+kNP1CwY6Gxc5kxHQN5za1fPyHJMnGWTC4PBpEZbZOF/ThEo8siV52MZoQ5afYafrt9esZNjcO0+WDlesHEj2kFe0+CFl4aRe7BwStw0FRa30/Xd1VInVL6zXF/sd+Fn7YU6ks5OrZadMcs9UFIhXPK17G5N8RwE0kdL3Zn19ycsHFN3iXD3dTXYc/8arNAm4B0aZFqBjLIvFW/7r46z5CDoDQst9kwvyxp6gL3Br7crtPgPYNB+XJbx6HtFJ5cZHJjG0D8Nq4uAulcfLZqvRsASNsMD70sXS5WEsscVJGVaFNPy+RjkfjgKMYoop/KWOGCV04We5u28P2lI4a04Gjg2kbYhAbpuUa8+X6OY8aalArPc4QP759y0ZD3C0sofbgEiR7rCTgks90kzIP1VJVjYfnT1cBBdvS6Y5EmTL9p+2mgw405pT8D9ujNZuToNeq+KktgCR/w8RnGbsmWnMsYLMZ/IdM0bAcw297s3tsdqnQ42DhpoUq6VFgKvAYJkPggT18NVQZdBjHu18X6MK2oO3INyMKblsIc9AlZQiuwf8aFk8LEP1kWI5zmeef6wmWJj0gOYA9MjP4ltFxu6L2JPqTnFi+qb/777kjAIiTsdeTuG+79aX6TIJhHAQ6iZ0RQDbkVlmqs2oFCOhR5t5Ya0AATMhSIC5F4sbeGKq3Ph5DO/31aj5iYjI3dP1LJcUYH/eLnnrO/nAitIAsbXJ3v1m+duIrSIBciJEcc3AKpJFrpKvEbHD5I30ZrddK/2DCpUdKNLdpsIScGwqkDOwXpSOy2X8PvmRpMUbh2EgWiCyCbEX+Zk2fFwggrAjJ0NQZ5M2yae9+fXK7c8T/6eivMSICDwLJcjrIVL4KWxAO8IdoIqOec5E0CoN6lGqZF2k73PrqOqKrSyXoSzSXLyrPanxgU7cJUY9FMfdT8XrhJ5LbRQ6313dWKowO9lstZs40mtLeFpExuuF8ZkgM7GxTZ2TVxiXbr405kyjyoa+ExGXWbhKIXd2Y+d0waEvnIdmpLNzSW2ImWTfchl7uwbijAwwH//p44augK8Jqd5bAHNutHTAR+IibNUEpI5wQqyNHYgROzQZyaYNsxLZ9a9olxHKytaAjuHITL1kNSO+ONyO6iCAVkZ4/VlL4z8NwmZi5oPN9NOh4+WGVLHMjlqRsUs+pTpADkZglntUBjx8rjJFGlwPR9viwF77WoRSmB1cr7praOd4NIETTld8SH0f6FX7Y1hSjywfLow9nMi53LRx96F+L0tPO36aPfKaREjBUFax3ZFLiLMm7bRXmDQOR+RKQZ6lTHHrYU8rvgUklGE7KCiV5/Fz79Ybda8t6HeRmhoI1AY9P3E1sNUSaEnffPJ5pfVhB0uwAaXSFmsCl0QMJ/bvv34/Tjfp34t8IHItxrfz+B44XXR1rq1gV33fest0dAmQL27jB4p727bMEwFFEV2RZzNrPQ5tDtOaEIbOHOSB6t3wHr/EMxPzX9mfmnGbHbUCtL/BE5sgiWTK2uI4jTBJxLzsCqrhckQYJGudZeKa2rozfILVBzjNP++fKk7cRVfgWLpfD3cO/9xccXojy+QazjG7uxMB0tRbn/RAkdTzziLAxF9Dha7zGmWWusyuSOaD5igWB+fB/W0cUIj1+r8tBzsRCE2KR+UZ/AqmNeEkm9zUSieRpp7mAXti//f4sjG9Z4sne3GlKX2w/dyv6H6h9IwU5qZV5NJEC84B/1BbEJZ4L6/99Du/SiI6ruf4KfRbgWY91lxeMRw2u+oFu/ycKaTuMu37F+dtjKEI3DIcvrrAz690CYZgcURQ2md3va488c5OfOt9TU44hwpw/M14BMBSaAYIclpuhuhczCSPcU2FbjlJcjvfzjWjk8ROo5GuHPtStCAPqtEpCx5fwerPewyOEF+NEEbYGOxkV6ba2B2up8pCQRi6NZB9c1Us2aeas1N0GbHxtC4aySNeN9d9C7NdUDReco0RUHqIWdC8tyVK0eN4taKoOPn7oUZRbootReUPWlYoSYztQ9+0aKWu4omCTyfdq+H3hb0kvFzp3Z/DhW7br7vYu+VLExHG4WxR/CdVepDRrikuumXb3sMnkNjBHs/wv0sbiPoIN2uD/y+BfnZgUfOxoxDnePOmU4kgkxpZcNBL6SnQ0fBAD+iddalvq9QwWpuZ6g2RtkhBhE6gEt1zPKG99AaEghm1V6CCF2/MroKgck1kExON6zwiZR7cGhkurnQv/9MBuWU34YoXQ1DJZyutjuh3pxG1ckjCDTfk4gJlvN02gHdqb6kPYEL8u7o09DSgu2BeYyV8C5Fc0TmR6HDvkGOFFzniyBnPZEorU0B0oy6ZDJ+cPVVY398yi7nCGdPrnSBvilEyXaZv5/AGthinNp+YntFar6J2H115gXbBIWstbp8nKhVOj1fAlU3lt4R8q+7CvpfOCUgRl4jYz3+cQr0q3qxCbgwZ5CakWh/eFWVhYDjiuLys4799wAYvre8Xmu+9EoGIeCdU/U6zmmknHfe78u+VniDLFqMNLsbPxA3frWBCUOSxY2v042KVyw8e6mrr+UPDRBKS+9KPTrIx7DhkpcHfqBiajgsIrjVdiIayEBSCAsLmXVjtCw93ee961nJLSsn5zSJOHJwqGB//ALdJLYJFX+NhVCqBPZ95Wq5mseOmfJwnRHtvm1f9io/kccaVHS0uA9YEmXDN2w0g2Tn3TPTURjCMoUpYv19mR0icp6JyMXaQfBxOJj7yd1yxM+hNaX3jkMkKcf3MwhV8x/JMOcBH3vcizeEr1NCazRwVt6S1ve++J7qg2k90rYJwwd6bK3H0cVAFkj30fkqAugENmI80uaVFIRqBFLFZIlXw+v/EmPtOPhW4WjlGRzZFgTlWCBZaJvMVCc4RXJkhAJFE/uxHy2Fz5Q1vg4QQbniFBX62b6LgATu8S9AMZzXBt+VURj5jF9ncQvFoojFriUoFZJDPi4cww7tqb4pRHXiiE+CUoY0RogrZX6WZUaNUv2oIzvrFQQ9YrYm19zi9PbqVHz6FN4cy+3GKMk9bHebaPk2wZsjdENlmKMs/L/X6ZJCL9IjVrvajp/4CYPufhD3O6Hgiz03WVCchAAfP6jeKuQQdQ7t/9Lv9C6VS6+uxHZNx3a/+AUF1lCHauQedyej37+hSyJ6qBQW/8pSU3ks+7lyXpSjicNHIIWOIe5/V9+J6hEKIKRtDrs58fWNiLn3dlXx2/74NGtAHISifBlER+WU5qoRYQtC2CiG2DBlpcPe1L37kWYfiuqNrqL6tq7zYQBkN83XRYTxQCfI6nZp44LvAGEY+f2sdR2ZZipN+McAdc75KsKdbcwuDij+hbPzWmJhejNeVWEiEcXEwHPcpCNBiCfHJG38awfiFeg0RGSbKzO4LuqRNIWByGGdkIaKDrRLM05UnLrAJEsanLRVECHxQUX4iZOGEV9FmNiQq+59/9GmVWUkAdNfZL1TmwNqivsuTRlh70yq9pn1PkOuXs648517TwgJVdD+j8TuF1EQw55blj/Y+3Kczs4kDCJxCcqOhb8yZtjHJWKf41kay11HpSeJmSThXXiqcvxM7Ab0GCthluIxVc2VjnNSamUF42KW1D2WioQ4erF9Qq71Q7XgEkh1tpl1fZ0lmJ77wYGupgz9zCSzmIpYJGhHfcKr6KR2zb8x40q5iypg7zHKpGvMJU0rB2SXxvTW97gQOe1FhYC6HjbfTEU6fvD3nQ3Ugdwp+nqyefcrHMkQjRYifEMtWhdbbMR8LbxIY4zl1BUaGtN4cZ3HJPWnJMIXeFbOJm3f6hOne/gA7+ErHtThDuGFM05QIKQA4wo6rF16sxq8d6Af90TENI1d2wa9PR3vai4VbHe+9JeZmGMpy1kBEJiSVDDlLtsNlNgxYh/1LYelj+PnC+oniIFYH9yIaaQYJqPbLLxgzmxOqk+W/CXVpJ3VB5HrP3iye5IX60YXOMUne8hfgDJ/DseGeM/vIYTbSF4RxNc3pAj1cz3yt+qMRkPTKw6royW6H9s204hRFMJzLMdZA9hpWsjIPTplzlm1eMHFrZHAfkZisAakFyYvhIBrH1w6rNpPKm9WHmSG4N6iE8MOyP9zMX2Ndc3RxnYL4mmP7XLAqOcjnvfHdtrea7vocRZPu6gUbNxcr4kdn0mlp5vKhcgcR+hEfGJDCCsughNIAp0Ao8aMP0p/ULMTD3qJp9gE7rxc4207LV1sUxmh0DJOo7k0HHoJNb3nzLhO4jkLlIz7na2ZKs9FVDRTrDEE60Hj56T0SAu8VZmDLL8Z//VR+Qq5VVJjF9FndsxeSLA0SNskK1m3zoyMZtfjiCrZlfZBBStOjUeGJiCIHhp2HP85L1XM9mwavdfqSkfnpS+B53/LhiL6SRzqm100gTKCQIRoVzZUsx0tDhx0G0VHEqdGwSxa0om80DVX40tnb03yVD7l0Z3NUKnD9Poo9RQQxcrP9l72tE8Xr8AbjZKmpGBxnnc5bCJH9Zwjm5qEBEaZAlyoLOPHhBd+fngS/v+DmQtm2PL5SX8jEC5EsBgqGr7/505TyfDWcEyx/AUUMSOl7l0iyn0lqgbmEl0y80fsLkDJzyAakMwMV4vqTJzFg/tJNrDWlti1CDPYupUyahfPZcjscNfh+Q+P+iwbrYtJ/nSgmows1bIsrOOB6Qnd/0UY8QBGfQQR3LcSvL10PIW8BFpGolB5lRH3visTIszB6ihJkJBL9PLqE51FeZ+nkXTS2Eb5qHLHhASXunLTot9TeUrQ7O9nANc9IAXR3FKgKGM5+JadcnkX+P7M5yLrjKmJw9uLF5zrZCDFUwoHyEn9FR7NO0o3CVoKx2/WX/1jTxloFw0K+2WD0SLqSbKu9PJVB36q4HsirD2p8bteuUOtfL+A+efajxjNOdXybdjAJkVjqCPr6ZB13MFoLm9RroLsX5JgzaNjQmlGov1Zlx4HKTv7zovVZ5Z9eyOZpeRcyg6fEafPpeQ7DjMUnPsBkkK4u0j7t2uuhq74iCFKxG19XfSK1F/L5+LTGlt3AiaT3CxnQCbX9IFJZBX9uufq8vy6lblGVBScmEDNCLld5G52Hj7Y5efAM3rt1j48urqxJqmWI/fJEB9YLGAoZSitoAvOE2MMGFVUEb1KBM1BIfR+t37xdM8CofL5Ros6ru2eOOolA/u/UJiQ85P+ukm//eXdJByCRs8DTKq5ovNTikLfmBzFVQxvoFBlefD4dMzSpMAy6a2LrtnPzHe5Amui0MO87GPuScwL4FGhsmfqar4ETRVVHBGYCZuhy2NPskRqCzru/sMaHjBOfmxgDHczWMdqsEHuUT3Mb15m7fUh/Ax4L5ZvpT/+tCvbQLkFlA8iKINAIxQ3Rp8HTfevxT2v4i1N6/qCzSCzHQDnIbalsZud4ZvHvbi1efhrbZflG09NaWC8gKe06uzWLuvA65EXd1Ps7j8MSwtTDeXQTpIVTXPWdXgBhoPnuSo5pbwcNV0YtwWKxpjeFTtYAjRNdQc0M+SWx1bbz3X8LzNITaH36qiZQGm3B9VuW6B9l38GIIoENy9rOV0ySqMW62DTdSvXRisNIbDYpigS3t0DynrLuK1iynrPh/3nrR+wKeVajedgfowH/0ntIR3TluzD0s8y6zMN3CJn5yAzDCqsgNwYbx8tTpm+8nxUDeiqSPAoexEU63l1ogoq5nI/nLCM3wQ9X4rx1ICeJf67fVmtA3WJznAxovmGXEoPz7b2dlGCmxRgdu5dEux2tHBlQCdQJbaksVLlti5dlkMWceNMLATQaAHQ0T38MJw8I83MNl0gszMRLBEojDf7w/36WrZ/4ouj6rkPRCLHgVtCxOeg3Lu9y++4aK3yZlPZAF2j+y4cFGm+2DzOUn5VUAyjwCxHlHIBuXf+VGwWBJgUgb4juicZSM8LToNlLgaKidrUcJQ1ppHDfyAxNyvRuxP5GB++42axaLSL1Ocrhw4TkVxnMd94ER4pKZ3zKUnf3RbQovesJUORiUp54NVVcNXY27Z8qJVUkMZQwifUn4Sv4T4iZH2K68oaj391a7nFQaNFHX73itFPeWqV3t/7ykB7gDUMrD+LTdnnvQfV1PHIFwf/I3qz6eB6fIrkXdO2Y/hcqTbRn5kWa+khfDSJnDT2xZPbKqukmy9l+vqiE1iE1MMvq45qOidP0knQxkAhfEwDT8J4pSMhkLF0jX+5pabTXf7njzv0vnFWjqiTW4/gckLrkh+i8hKXFrN61cmIa7KmCFueYyZ0yqtpWm2V/T3UsooamTGh+6/GZVKXruADHNb3t6VXk4cBFatOsEYYJa8X7DDp+O1G5LZE/v1mnwsuiMw2etiIJfPyX5gtrlcY+b2Ag+MUqn4DzJijK+4ogfYxOJA7QgsPYx8WLsx34vrjRtDVbJr7mKm+dvID2tWEzsBK5REpxJwe/M50ofn/UnD7MoIiEPkTrQn/jPyNQEiSv0tcmKZ0ywS1KzE2Bubb+XwUGWMOYna7QTUkDeFNcoi2o0ep0TCUMaoHBAkS8D0l2Cw4BVK9Od6t+Sd/fjIBWu6KLqdMaldFTvfOwTRz4Mx9AKo12xMXMug2tPRbYcQlcmOXftfH49FAJ/wOryyWoHDC8LLKQgNRmfnCVSr5NyW9f/hdGYD2Yh+d/CeNSbrdgDsKFXKJMKY3c/MMXStjZrw10oBULKug7uhDL2bBfS0Q3TBO1zPJMJ1plXHknS65j0YZFo+Tjf+DviKn+kMDDDibG9sq4csUyo4sQeReel/d2t5jn7yjIAYrnM9k+SXKjoBAx78mkDiAXWOF2IxScPaXSGy6AOVUafjd8Yd0HcbP9apn1I4oDAOwMmVQdtWofx6R7VVZC/rPCs6HoJhHsMJgzwsxn6l47KRzVs/xmhe46kHNm03WLCvffAL5aVlIMWzJ+YFNt+ovSdE3LE8463TKtbHZQs7q7BJBvq2bjPxDlZoP4pBfFFexQSJgHQaD2fCq7HbylBvqd9b1+fzVYZMiuc6nl4MzsEC31MqCMTS0yAZ5lgCHKcn8VRgIoEP7GlhJ44nu9QErbg7QNKkl6Pxkwhr5UCruVaapfZavkTTJwXWFJu+LDjkLz6ay2Gn2fJT6fYF1n58htDfZe5Gb/gdNEvzrM4sIL7si8YC0G5LwDp0LjNqSPqD5G4ew6PHe+Uxp8JThngZcHM+Tw+QTKbwAamzegLOUw4w4Eh3okJmMqwgKJamv1dlMChSJ3sspyIp+trnGcoSvTOXep7d7Qk8uFrMugoc7ZUEA3OkuSMHohw5K4OzUFE9zyVW3YqxjT5I2lnIh5ngScET5+rbT9+nHBdsghQWjcxbiDcYX/hq2VfAnvfZy6Mp9/kJbUP7MJG4+Nwt8OGnzDMKl+sg81CNllE1ycmiCI9E1ohbKlyrqJ1AGr7NUhW47GIShTfdullTffWRWD+xwT4/UV1HnwWODIC8CgaEMRc4Jvio2T6ukzd9IxjLfjNxcYtYXgKK4/85cRMxeL9wPOmiHeBFmzyuPuC+drVgt7sEJBb/O4R69/0K5N+fQ3WcPQ4Y+GPdRuduoTsqYzTsrapQEi5tvAaI8uopacKkCnoI5jmSg5tyIFMVUJNwa8mHmVSVTjigVBa3EU69X3rAVNmD8DYev1L2KF/PUqDHmcUxGveV4rCpvh68CVrZwyu+dlQpgj+BtBuU9/B4YWjn5wJtQnzr6Ok5w0dTmdd1POIhAUd7fCp38BzmOo0SpGh9sbXnwOwuGh2tfwGPuT+h3GPiPXMNDOOaOpGHISwg6arpPpM6RTtDycdOeak/t62ftFuNzahgFc5WRNdi2j9whX11QoVYcqJ/cZBxEV3RB+CknDMOPwm9V2/E06mXdKGuGjavzJ4AprTCnraYrUpUDCjXYbogMnrhbaeldQYAyGeVa1HEWdB2wkFnWzEjencTNijzj+iL/h+g4DKwC+lu07DxNPIgufbcaAbkyizvzsYN13QN3o3EssvtRFIfDJmTQOYPjCKrGI8Q/6UlGJlGKMALnILbL2xoDrE2pokdICqYH2ydOiP+VoV2oTDSQMArQhCaxkjl5cosrAUixT+g5vWvHfrIociiNLtHPWdpth9bTeUSmb2OVCMjFCmyBfKIKDp3pt/QNm94LN8/4Yw1sqw5UXuwpm8G0CHJqv15JK9m6SMSDUlVmg4mr81kY8Omi9ex+IKs+XqmYT4F08kirWVEfcndzjqKjaTRyV/2edseDTCxvVkHo0uK2To2gIKTPBMkPELSJWUXSnxdUwDmXGfvV2OL4s39BvWw3DGtcIWnaE7OSjpt52gfksO2bBHPzC355MomgQG4VYS3eSyaaRWwrLlExtLkoqqe0wpBX+K+Zcc8J5PAJ+S7NmxzMvDeUQEBTAz0sH4jvr8ypHm28wwADXHEXPXtRTA9qMbGHiEBUAwyF9aa+EoWY+mX6EjvNZfG1EZEt5hzD4IJFbx2rZjmvJzwoZdQC+sQ0z+ZDWHgBC1TZ93U4EV12ANNmaZUIeZ7DUg8Z6y+gZ2n5JaKUOtjln+3THIwCPi46sv1d3ZiaA5hmXy1ugpVKXwj3Mll9NCdM7XoBJ6+2xJyTb44r4dSkrcqq3p8+UWof3FHpXl2JHdy9lbeS0XJzWJfOKzlokO0k9CIkcTAjx3Nlwj8ZU9zgs4noSDjwsKf7ae8nATVubvcngXhD8doB6WeR/nLOrYg94XmUg/84j+UN96CD8vdfMHbhfF9y6dqAek+cCHOjX4iuaFfFh4h3b/hotPFtTtTFeV9KlpbSgajQX1sdC+rUy+uSLwXdj9UiOW1g8px7p74PIOh8aFV5whAuzLzZIZ+zq5NVIVs59Z8mVc65S9wc2U+Q51NlJXcMeEZVmlrupkDk9Xrw5kH9/kIrEG25p7flKYMs76dGbW/VpdPvwI0Jp6vidK8+ug5Ojt9Dmd7UGCKuUFJxtCl+aD+v53grpu2T4+eDMplliXP07nSeWKvQIilECfazw62n1Y6Rwq5HtT6lfn/IQ80HZCy9pg5TWl0Odb/l07Y0v2x0i2Tp4+tEjiaYJgDqGsdH+EZU7XU/4Uguw8qGsZ4c/jIvXfHz9wCyoyOkSZr16/RpW9k63cdjhYaiSEEhQLWUJ14lYUyVzWZFD53hbJaYhqa5sGiobKJ8KT7xXnrF1WThE6JobcPA84YmM8Rg3oToNCD75oR30Xdni1wp07ziwenJUcCeY2lEmyZBnepafKHGzf/6uX7G0mUPBOAEDUP17WUkqR7bI8JHxxsSeBiC/RbgthFa/PQtUkxIcOj32HbLWgmf4Eko1JRYqn4MUzB9ZvDSVKcb1VThNhmfdbNoGfxjLDhbXsJbZP/HxEBHcR2zaixyuvB3Q/GR1lg2GogNPrXnpomsoWwyZdwDn1i7mZSO9/TZmrux1sbWbfnSNcn/87S4ygbcBzXqQ5COfcCDHSX0P6WsmXsgXC5yWqTcOOcSVNIPrLxjDm5Gjq7HMlG7SJeG0lMQiLcnomFKvfq1q3XtJ+W7/wofUT/XhVtYrwFBWQGyROqRHi/WqCU0cXSz2hna4gQSs+YvDcDTH5k0RmpVWQeVM+URCfQPZpZTz3roL6RhOEELPtDxgyLgeUCsWZjDw1ULMFI+SGs3xinsUop0OL3IuoQnQSYM/70sKFnzyAYDqXjWC5tS2Wj8id/9PO2kWxbvro2Tgiez5DeJmWmx424PxD+Cj3OYRmW9mWqWH+1C1SoQ6by65xqbf9gVDQN3skRbFQIucq3Db+dQtYhMjWpr8G/j77ySlmgFcI/+hxfVa1MNSqzuG43EII/UDR3wTyZknE4OSAeblm79rwn4nIBoAqWFhlD3SCtt9O2+Oacj8hW+jPDiBa/sc9q7hvFiAZth6bsP16Pq1K7Cq2pxRu5VWUqOcXLMFuecYx5RBN7zdzBtcjRLFeN4ZH0WevT3KKzp0EGJjYbt8wZDAQm6+lhuKVRDYuauLZnoaLFdHVzfbMou3J2dRR+sb6Jc5T1J8jYJHs2wexFTnxUJ0N/NF9p7QHQangwNDettzuOCBQuPJLTdE1HgaB4pX4m/xfOIwhEda9vgNFJBdxe6t36QbvkAtQyj/i4l3qR1ixrS7TRnaYN7xL/HexcUuN489cBBe0/rU4BOzhfJ4knM9XghnrzW3jBFqxnee6kdcZpwVw0czUC3Vonf94FQMGg3RdIeCZl/GY2tU1rfaOa3RAo6QPXj9c1y+3J4ntPLCZ8caOQf+wgjg8qCflPvQfVCMiB3iT7y+EWzn2SswSVxu8hBuvE6WER+Gx/leUOI8qzprqOwebeDnRWzWADPbsFitc5YDruTkyn7EJ2Fi1AYcl8FCLZwN0RG0Yvb3d5NbffLusMsXTAFJMzYxKtWDKizABbeZg7KKSeQYTwpBGmQnVYSmmAyAKxO0tNWF0bi388F5wpCvw3FEXw9qjwSLC+EMVXYXa5T3qhR9HHAqNXH24nOYTOljTv4s3uML7voGLs0I4XDARv1z1vT74CkhoQdIzKofL3h8+izN4/uIjurIjjvbb2j4gqTTIlWkrlfrA7yrAuPMpDift7GslnccgOvsG4liXO7tsPu7XXjRI6Woi86J31IkPWc+IqzSp6yfmVzlojYGFAlPKgwRPf0GQw9EqFKJbvarqB4EN0Jy+g3cQzeV8qgBlj8u1lQ+1CSrAxslz0MLreaYegbzufrZqGPiMFaS/0uCfkzJOe8rhMx90G8q8Wec65D1CZZs0gCsft/+kKHSQmAKNog65aoPAm16s6csR46XVzlbPaa9Za4p7Q44ICvy8F64KLIBVhZSgIRwE+tJ0+S9yWU6UQAgkRSbD0De4fw19r9QKiCR8msQdMY9NcrFX+GNZtL5wchNrvYtuDQWzrMsZq5AN/gEe/u06q5ywzfH2W4TGMoLrzlghjN7w4XE6tl46Vw7sqqwfCPi5FB7EkHHsQUuO3PxoHyhUXKuf0YKJEimkXik7T4GYfcSc9mPkPlWvxDL8hn5b5XFOFja4JPhL1gkI3MWp7FZI2z+5LruURZc6z3IToMpUD4J1fBhltyif2xkIDRxek/2fqIXJIzg/yoGbFTH0ZqgidcUxBP+LuQNFKFViO5D/bAqWJv48TGaRhtZT8E4/qkgVfvbGm0WI7lMg/IxPZv+ptoil9OIkaL088LxZbfvgnbF7KxB+QLQCawW/OonLFBDsHc2ghTyE0AplQ1uYf8dwbeXg23/11w/M5ZrfZF9OroFmw8hL/xdBfl63fB4wYFkrSgo1oaGuav3kxZ4vN62fOetcmNPWbjMWuttroTd0I76WX8ZGlweU7r3k6khyE1EIdO985t8zLtomtaHxSrMzVhmKV+9himxCzDsZEtarRgv16sAhk/eqDveJQSNRl0C4nO7zcwlPAVglNyZkE62J0NWaaxeUAaHXlqnElK0Olzm8EKfxwKpcz0/x4Li2zAb4crlU8x4Z1i4D5dyOLhi4aeaupAjQ/PMNGzRGGQtI94IPcgqEbdwoT1m8ICcBIu1CMnN4Ixq4eBNxJ6K7GfzWlLwtW6OfI1t8IlfqLEwGezE3kLL77/hqTN7g3emqlub8VKBBvknt19CFLPPn8PiRMw2TU/FEWg4el/vTxCIzj43lC5S+IS57dP1ClGoGa6JqsJPaCGFQhs3PwH01DAuC9z7X8BhC6MFoTTN5XcLpBgppIbqhYigVtvsyeBkrU/gZ+fbjVuFCDg3fQvaQQp9eY9R8aiz44IyrMoLueG2fR/3aV03M/Vr3YBwb96EcC6aaokcgjXj9fyKW7AfC503ZIOw3qvaRdMC/W/GKv9Y8rKk+yhWpmLg60Z17yygpfSIxW+v+bPcXMVUWZNsNnXMMOs+xaB+xDrbSU23+eKblmXS0ZwidF8/m0YvGEaQSC+9y81rozLxYti8k10VdvVgNSBVH8bFrR+m8KaELfu97rNasUD0tHC/hFvLpWP27xaaYsrIJ0colfqvX7smUpTnpMnX70G+iRJiVo+60EPOmBxZtxpqQ/DmEvdnUfRNM1Wg5t9IEkla3iyIB4tDcEkZZ3/8O6qZLj7P9ZEIYIk+dwRB2RbZyumP2gLfwM+1Ib9guL3ypNvljtmiSESdHygJjj1eyqVJvSkr9PZ5JgtQu6f22tcCTkrihUY5I5TzlHEIg8XIlKZD1CVgmm8zOAm9Hwmbrnz8YYugKxXcmkzrFIvC9o/URd6J1hBBBj5Kd94tjfYp3qUHo06facwGDqNHdBOhhfwOLtJfVxto/0EjUSPwpQf5oqAfXQXhYsrQFmwo8bFsAaDhfpkp9394voZaWtfLniUJFH2VpZoj20icrs1QJ/nnaU/ir2UcPRyx0YU/RhSW2iZzPkvaQQtoxKAqv01itpt8lolYGieoHYXpp/ahxsF6OdBPzVeEW5Bs3+LwYNg+OYOycoCoC1i15AjTv827JtuxnX56Yg7Csz2xchzv69fpkCySPaOWa8bCg+uKdw8a28FltAmoU5CYW3qfi+gzbRqShmRqYx7vPX4j45w4fVyeuFrcfoLlxzXWMv1MiJeHe//x83cQ4vWX14zgVn/RgXMLmgl2ftYMQJsb88xMq7CAK0xQ/s3elljtPUwAZKH22QyfXHgznDxTLD87e4N8I7Os5eQCXzd0eLrlIwGycUJsvyr/N8zxMJjKur92f3fEveewi/yulBx5C/AKVGot5ZIMRzbbIyPAzq+6BTf6cT8k+993Qm5/uknKxQqb72vYs+QaIQi3Ot6b4NuhqBVpJoGuHzsMbKL+LKToZqUw+1ofo/7O9urH1lhWikqVaX14t5oVL5msWVx6V3zspOGGfi0ndSUqDEbp4v+YdDy4yoK/VOKygWgNWvZ2XdvSsIRpk8KpKjLl4S0OLyBlHkpmo8goOp8Q4uLdefZekr29hGBl1wjmoTtYzoNTCj61jtnd82po1rc4DIFFtMAE2tX7fUsgH82Hopaowy6v4x3wcAi1qAObodHpO1G+LIUAH4200DV531920erJVsibwD4wu0gQHmzk3bivC0xNv75lDoYG3hB8zshTNjmtiiFsAtxNH6LkpG4QnpX2YRqF2WqJ2V6YvyCi69HrT0mnt2XArBoTTNgjs+7xDGCKr6tI5LE8qDWaelhsU1kF60pE+YAfEe6jvuvN+QYTuzO7AcIfU4wpK+WCT9WT6omYGoICplLzYqa+jgMl1tpmL6lWBtdKldCJr35Lr1FOmiy5eMfeeSUs7EXFvotbUhM7TeAvf0Br0DgRDKkvMGyo19exckEGnS0Rx713RoyzncSkhtVUxfbTEqhepyfl8veqjz4EySrBnF0XL092t4MkjSWw23YVU4j0AWFNUr2QTkPX003Lo51qai4LaN7AzCfalTeYxMJBCrttWzcOUvmUY61/5rvW9nYDB0Tiov8JmAhK6RbQtTt7caZoB5ym+7Ayd4qsTktJKBsXqC+w5hFVxXpZL+3NOPUZdjfkjelEUPUCSEzpGl5cd/DBAFaeBmUTiTvJsB0sXlgeLd4DFwq+LYXOGTKzQ0GIVxiIGBu5v0x0j8PQkBN8UKIFqwHjWFyk74d5zeOd36JsxdmYaKdzc8IfSAnlvGgGpUFA7LNNbTX7px+lOeCZaLFvCQk+zRi0mF77y4hnbKVaMDuga3kt6LOq5OnhxgGRaVvBeuVNLz81DCijFBWgvha0mbcm1Ov0SEdgWgT83W4QH8b/ND06pSBD/a/AMivuNbS7e3slHbhx+djLSLKVfAxajkztUUOLJ0bwPhcKpUSPKZHoZ9R1LfQ6Z1J4KkQYRSsJo79tpvcr4T0xGMQPwiQAwW0cFoBwQln+DBKXWvf3vADGaKFsJyqG9BdsPL9Kph1Qgb5/qOTOowBACKecJLCgGaBkoRIrtcm3Oqjbn8IqSLtpgkLbDShB34A/v3RMVIY/H8hKMYUHYYPqU38XyRE4NY5mM0zUWZvt2siQppgmG91J8RF/Dxp7Pix9jP4vMf1FZdBEKR5VA6mKtRQm4NFXSlliU7uk4rQrgQkW/B/+YUlumSXvjGYJ+AjV9qgKJGjubDK0SWj+s7JBoK+vcTJnxX2oSS0/NPfvwLtkGGXxBfgDMoLbrBSRaY5sv/G7S8ci9zasWCN61p2syOa/lerVvutdeCUJx/bYizkEUzQTCI6wrpvphyVCkplHiNxIR+bhbu87VovtNmjTxiN1GFPTNgNSZFHVPxxfJPOrcQIKqp/YAEKzoDaK+JyUK920+15tU4jUkKiKJXk/2u1Q59C/2YZtNMAcdFKsh+MZIwizSPvhEWRJSjxyJe4/qjKVbG8TvefirvSZTVCQYMJnEqrqr6GqHxJaNJ3iGGM06eUGmNkMg03xrLyBQz6EoIrAUao7oMKU8Krs8Ch/ZLAWfPedAlrh5Q7DJvLwQ0IFwrfldXqHi2MOa5ErPqV5PqoVH1TfbDuoxqu4txPj4vJD9J2xBFFd+DrJsdgiYfYifNMr+rjMhYPhm/Ox9J/4K0g1w3DfLBC7mMRx1He43ZLxYLz8ZW0bki5qDL5vHkDJvE1lWJ0W5R6OC5LjlwVyfw0/pvxWoDtaMzpMctoXOiH7mTnouGj7bEaYgUiu29fKi6qrwVek/7+YYDvnVlyd3KLSCCTD8+xiKEtUAmUUocQrl2IsPp5parf5BusM2FuMFfHT2pBj68b+//hrp8WsIX2KWRLIzGxqJbbKXENHGaWqBQUNT53VIs3LvGjc0hgKE2bjkob1ZZyCeCnsWJpeqvt1xwXdA6u9O+L6XO1Z/M2opHyA83VADQbuVD2W4P3OUAKYxwxOJeTO2C5FQz71O4XHid9J0nKrfHYl8xDFs0MWy4UBOEyekaYlopX/Kt3GSzKkTYWlTe/tjiw/w1c/qUWlV86H2i7e7csKd9N9X4sDgRfq4QxDqRQvc8ptDBJ6n0EmU8Nh4daZwnXK+lQEMxsvJUp6voQUASurRrOwvc8ytVs993gkt9l/YVuSgQ7IJs5LtUZBfUpZquuEHsBTlw/e0eIasT4XhM6xiCbcocvTVdhQYOrY44gaYEeyJY0jjET5BQTZpLNcmKeLoXwanUD4jOFa67EDMkdu9xniXk8ScyxRIscjk+TAoFxdhm+9fjPfYqhaxw3jl4gn0lK7Ni9o7U01YzqnHCKkrMDeQIskWwRjnS30Ifarq2ATQjd7/8ck5scxw3wFtikEAFppFyED2TaEJ440XU6SRZL9N8dEUnIVajDn2vH7Tm9goh1pQViIHwR5bNry/nlrePy2Tg8OBYaIGLnN5zsDMIpWdOUv+Dxxei++NORy0rpy+Z/wuPwdOL4AEb2cBJPv239ljqwlZMZQ1nJhu8He2RiEm/6bcUo0JbVGgNicXq+/0fvHhumtcHTqETbfR/G3Z+uXC6vrU6CmVPMJw8fUKv6A0jVXQVuJn/RF0A7Y6jJ3gNhq1YWnFggImRKDshhIJATP1RcegnQyDFfd79cPi/z5qa39DHbFOUGhQh2sGB5KegWkpkm0JzNyYiTIhTkNp4FmuSjGncPLcf3X52gxif7lC9yhm6TBDo6Gvfu3IKDFS8T2GM/oGmGHL99DXcHa3rGIr5EX69hpa7WL2Rv+AQYmXdNr5yL7SiIcdjRC+kjljJPu0utA1tQQ32jCcpWS+s5wLPHEyK44xtfKV9kViuZoJjNvh4cOYHd11YuSt31lRkqZ5ZKVSzH+4+GR8A3LFsUT5GxQ99Ll6OF8yi+knvUkhxAob8xpGHG9P1Ya12WpKvZhnPC6nfP+M1zDr238+v+cxyw44IKe401pPbdkNUCAKGzagk39eDNFVyFERNszzmZKe1Ydiegw4YSmO3dyRRbLOb8wKa0Hm5Ju4W4DZ/2pLsAi+govuKcrBw+LfZ2u/vXcU+2t1+nVssXmZM+9ZLmOFESNWcXaZrbS1pXCDkUfWT9j7xkfV++11MJfVLtJw9dqGvG/0XV8kG4edV9lYCkunLhk82Cz3opFMmcZpuIG3L5bZXyxUBhjP49NPIbNWteqlGFJ+zHqxKMZnv9XmeiDepMYccS8fdkZ8SoKBzuQPPlcnRhp9pHPmG/Mb9kT2CnVIldX4TKGJ1eccPj5VX6qkbkJmDfI2pLkib46SfjV53slvDz9r/aUjcGnqgqo+4QEXh9gfAxWu1MLp469I9zeGW9+7Meue72nsgBbsy6mARbS4O398z1etpCDQjy2TVuOGpASBmACWq1omsAOh2Fi4zQC71jS6Kao/E/pDQHTAafH4vmA1sy6CGTtckjalYLFVEeisLDq/+cfYUyvjzVt97eMq75MWjQqxBvo6T9lDiU7jiv8PmFvFleXUBHjMI8E/sHMYf22XxydbOys0EQmPx6bxvdV/WQnXD6iemB/bOGEtwJg/+c+pA0cYv+9a6smJqe0uZ40lb8u0amDKrr7TJKKdoIyQF4T8kSY0FfLhLQaHl8tQGbRNKaKt3ybrjqZZUa7lxbqMXL7xvMJpakQ/88KBRGy7VqXT4Nl3/wqqNlSqoqOrkxSmw/7Sle+e++JKvwwAdlNIAW9KxUvoTKMcrYhHchcHo2fqAzFPiOW+Y/Ji/+awC2k6agO+Go2f97iQ0S3xXyHRlzzTJEZ5E0qRPxFUDAYZ7lMkYf/48a469C8bCbeOGAQrVhTnN7pL9zLq7IFHH3CGCUHYdlPhSxp8DGdaQYF2EqgsWFaLUgNMYFJpTgyZrVBYALKW8NPpnFd9p9mjPaLPGFrMPLenuj68Fd8KXKDLQFTZWamGxdAV8ySTCJk5XjYEHcpRI0Gli2sQSXhNiWSeBqi/kyoRr9Pq0def7/c7glvJpa9sNI4QQgWUKY9Z0jxdUj0g/m6t6Ifag9dED/hE/pS6ve6Whw55P9CAvJouYeyZkLM2uQrBX4z2IEwzBcY8m8x9kX2xcHidLpu+w4HHF1LPwnNkZ/gEvnvsPWcpobOaAZVpWnf2Xf5E8Xk6GmDW86PslomWV0qmvd5gMhXWELQFkFc47ChwqBtx0kXAQYxBCurQb8VbDvzX97WUbWf6guw+f54cvsOEN0ir9DQLWLO3huciiqH7Si7mQ0oL/C3ecsaXLw0ULxDxJ19JHpRm6byI9ifbpQiml71XHjtGpm5EWSP7vlhInWvCkHIK+Mpd2gombzbeoEmkSaCoXRbhs9M3ZaKOabwSxKpgUtaG221mgpRE6f9K0CMI55fvybg8A0qg6GmA6WKwCX4hNuBB06m3yD1tN6g9YHlYF2BbZKD2S1YeioQu5IA2EsUpzPzC8GO2yMINX4wHCbOYyKnWglBMMFd9A+kCxxFSNL5W7+EsZGN8gYr0EW9rl9CnNxg0mSd3lr+BFKMZsyPtnJHM59o1C6KTW0er31xvR7xx5ZVm2mLAFHwoZhVkxl/yQIshYH7s9+rfPLclnEFggGHLlN/ZEUF5uq6Feoj0dwTNh4fMLh2Z9+RcAf6iVi3/nlyKzP1ywbyGSkMo6ULbXimi5dGeKzxDzNmFg20yovD6a4kNmLaqSlge2aGqw1b1y2Hnmf3PTUiQy23+V6ZCdGyo4Zc1aHx9TmiAeHQ6zMrlam4y4lHGFdGC2XRk4EQ+q3sk4WtfZtL5QW4YfEEoXBANokDzv6n77YMhIvPMiwVbcU0Wz/aWINYTWYrHpoMeYzMZM/+E8X0yi9dZQ7UCIUI6aHjrwPt5W1EltciVktxkDjsavNxQ7rLJqnxZoSbZXcZGWTXYsaashXqQwCCGTsP2XpIcUmgQEQhk1TReKD65gmoDFV17GJj3fks/kIbf+FWSTmyUlWbjYroqyV0o/DM6hqr5fa53ml8ypZTCA2mIqx075iv+6UayGVDvC3fiXRayA39jOPxDb8dfGiWRyyEwdmbI7/To5gnA2DDAys9h5lD0fVvXaiF2WwLCRQAy+nhxEmUOsjmxghnvXi/Ixwax/Sq4Wu8FmNBsRIEC6t0CjjSkr90p2fqWQAP+ne5lOafF6ybUnz3k9dGoHphSzwhrkUQThpXPR60ijAYIHmdbS6v3aE/pxcL1sR3WsKLDV612B4f5YgxfSqQUotIeQSLlXTaRgZzc5jo1+JUXyfcBYHztbuAkK5iG3sFAjma2OnRH6cKLGoZAeswEHOZLUqex6KwM02KxB5PehE651OzINPcenosAuF42r4pq+2rPr07olC0szzHOhZzrzAM26a0tI/XG8glCnkSGsCSDMwjzxyjLqhlPrdnRpOFsrHvE+iXzKn2hcqHi2Za//Mre8v6oxx+CKfIjYGOmuGkHtoROeW3TolaYm+jK8bjsLVCAHPd53viQQ7TyM0qzYNaQZKnQ0H0IMAbqzcGpQcXa8WPhmX3rIom2ZgCZUU1cV0iEWLd7ioiAxdI5hu1bCmk+CmCLQxXLQH+lFDRuL1yk9GpLPVVuT2JIWQDLUSKnJ7wNzd1MsNGyqyjDNnKGqoA1wfn/Uhh1WnAW6Tz4PSErCXH+6GwUdLSAAycOv7eQWbHPWk2Tm15kEhciah0McEQR/Z7CDNSEuPG12Zg3EoWV8YZ7OnhhrB6xFQsGQ0R8t09TTS3T007Uv3Ot59OjeYV5Al7cftTt+2GJrzIBcoBw58exBF7CnBEwKTTwwTAm5R0eHEKei9WAA78whP3SQfiLlJOKReh6zHv9sSyc9YW0Qs4qNjJT5fVYtvcwfhUhJCa93ytAZb11+V6eZi2eW63LkTER0fST7MG0Cr0h9MmoPGz94E/CKxqdLQPn8xoAoFVC3wKgPjiyqzoE1jtGoC1ZiQYdICe2eGxF1D5QqMjP2pZ0PbTMsJmQd3vrO4V2kqiIwIlsdjjm0gvHXc7YkcazlNjCk/dNMgYfyqxW6YPuliv2h0gkwjv+RmkeRCEzUmRMQWSBljUkNgOagP5Vb9zQ4vmO/K6FREI6rBhP0TFrXLV8Ezp3um6738ilxetqwoaY6M1BAobKTD3zj5kdjnB3Q5jgpDaCO1UtNcRY9/cf4BZBdsk9L/mpRDbVPvfd7sXaAuVMSN4XQmqfIlp9te0j64JU9q/IVkx3irGNDHXLNdqp42kse4aFFORevQsCno5E2BMwm7HjUCtWzmozNc704r1Y2QVlTG+eND7LhSrrdUV+exNgycbFuG9k84uU03gtyKp459m34h+P4e1vBPQDWXYrZ8E6E8ururo3TKg1cUuUJYU2QUYgzgEVkAjD4wc8mKl1ApnZOHtpnYlVG3Ixa9Z0/4SFqQvPlRfHr4DRP18yLDLFW1kbELdcX3fRAJFHdi72aPB0TfmS8X2nqwYGJC0qrbLXmYv6RkP+uITZGn+WCFlzqp3zSxYbVkZB+FSeACKuynieAwM99zwvN3xvKoU+ABYC2M/y/sPdw9GoBZk6lUg2t+FkUdLJFFiT836klP7mv3MdNsYh2GajsegB9i02IZ8fQwPgX+AQ9P12o98V7ZzHMYSIJBMqlayEqfMcR3DSDsnvBTZA9s2mmjDVhfz5Ey7NgVph4ORmO5J+5KFzPIvF8imjSvtB23CQwZwVuNw7omHQm5JuJX9vAuML4/4RPbVuJtIuox7+/v/9bnSmtE/dZNovxNYF/vxKrtr4VdF55nb5UUjS/XBmcZulywTtbzTHWt/FpWo/+dhoA6g1Ooq/PeiFSbgJ+uyEAkgfJ/OIY53/8mA/GJ5sThFRz+Vq8WQFsInCt1/XMc3P42kcSOjCV0EWSNudMlfVS9nu+XHTwjauWC4cH5JeLZMvA7DeONrQrLgAjxFxscBGdICh3z/KrTr6ol7I+csLDutUuVIq6yG2gebP60o4ay2lgqvKbv9PYZVeSE7rTftO5whdWjD7S5Qyf9VAWvEkT+IfHUd69hsRPs5kGNMBV1Y0jBzkg5JeVzFFN/t8O+73keqDQVB7DBEIj12eNeLA+8aQBdpbElsdtLkU4A6/PKwxMXGU3PAQrYLJT2AXvpHBIy0Sm6ig9MX2qWBYZlG0O3BLYTRqVOUXH14ZnisaoBM2FfZWMg8/GBTqSKCfdgaDfN7/ke7DS8Jglqg49wSNug1BgRJ/RXh6b/DktP9yZQoOIfdy/zARSwNAGnZnlTRsoCbfdTXDwMmxH4nLXjtcqQFWDsUs8oJIzGbdltjfxOekhvGJaip80XLf6HABS2jQKqQxo2BPzI9/0mmJ/5xzEjOT4xa/jdO9nKzqtUma97/qBAX11SXQiQ0GPORnrlMpdqeSw8+MVTUz13SGQbGMBUJFUuEj2lIkuz+PJN/8t1VToRJ32qx9upWPcaTOB6pOW+8Q59VOgj9V8RhObdqodKYdgDBf3JWjeVFxbRSmW1cZ+T4C3lTpqHL0ejjWxjp1cXGEj8D4DA6/5EOjwJ3uxvIOF7Gn5BJ3m/Tf2+twel4y36VGvMVyPWAcwJSSmjD8lkQldTTd6cha+utcr5gu/uFS/kbdwMI4EAhQ0WUthEqWQEaeEkwBJKg3LnCEHCF4IU/EjS6KS6fAcHiNOWt6HT2oR90LzNTs1/s5NhHCYlAr2YZ0bk3UanWdkaiwfXRSejHCvDwCKAkWkpYtbiXIHKMvu1iJr7LwiJnimYAg/shNPazVK66mzzQRj4lHopELd+HklqX9bEW7su3uM6wLGMr576r4/n6VG2sXFYqihIbloUihXACTGs9DbgmpkEj8X9jnQk/1YdeeqtmWElPCBS8z10/p5QPrMWonKCm4fQWpaKt+jtbOzhYWmQ6X3vM0ZzZX1ztfVT1faL5bPti8AINUkbnJHAPkeH6Cb4ifUuRZwF44Npjb42Cb/nyk6qT2inHUHCMn08o4YTdtc246nzw+0lZjtbkgZjyc/BHQufZoB2vydUD1NW4xRxt3B3aSMZ7xuIY0ASvlulTq0ME9cD5ERkgDmsM1Th/GIKYmdfZz7gEQ3ulMnpZ6ni5Rx6eWXyg3DsLIMpBBfp+gRNBYJ6xGJNjYPHWWF0SoY/oatYvp08mMt/wi0YhR1cufwS+yyl0b7qrDYHWvmLowwS5n/LL65SFHrgaziB6KVPiMfYktIcLrsROuodGvANNdxCjyi22asvAeaHsM46/iP/RfGBOPyxxt40GF8cuJYp00to2CX1ZqptiXz36LfPPB6j6s0xHLvcr/5cdf6s1Vd/EqZbGEK7EO9fuTw0uZP4NmwDBGWSbJMpPJTXJ3MBno8c0RaEzLHcggucCO9gkhOv6m1BeLvPCSyyS5ywhxNszCR4fb2L05JNC2AhudUEskZYmVWNiGA3hl/MISlDABmIdwTco8f44MCfEV19YRYwDPLr53FWSKku3CmH9NCvwbjWQeLZgKP7czQeDVcjG6GJfIub3cW1XLXcbwSd/xjRAy6hnv2lfblis+Ajfn2NSsxonr56YfewzxXKIik9pCemZoHvYPhItP5UJtJxYQTpv0PH47mpXq3uZPzDu7pScPyVWUT2MaTmFodbOOi1bbDOfXhgObfzPtaS4LAfKjGpwE+my/ly4YTF/jCXcJaojTxdbf8thmKcNqVJtssn/mz3OLVupHc8pc1HelzTdDhFNAbkW56WmlP0C6Iab9Pq3YHWa3OLS48A+fxuDX7EU5y4FyL2uwNUC617xz1l+0TYEk4QPghgGtXOo46mBvdVSEDBY4JUmTGCQgdUQM9IgDfu1vsdsJewlFY+3IV4unSPlTgyhgOhzTVLfU2Ra6yw2tDsd6N04YyRBOYA0ERmIf634V5PPdyE+SBVSk65AS+B8E+b0yiLcZuMSWyha4WOPpTGk85HIskF6jlBTN1dn4D9nQ9FL7mmFv0H/TPyafbDNIfjDlNrXj+OfoxO8d5laEnw17MYJ1A+az6xxQrZK73tyKbf3FL6H2vgad2mCKM2iy7azx/qoOzuQGlHdkqkQ6SM7OTFQ9HgNSDo52u511sg4Ls4ky9R6SYjV8dpcvcOCnLQdO278TBX8+ffyUD93HuzpO1281pPrcajm8UmKrX2LGjCQKVxKw5mdW8BwxQoDMV9aIF7H/qFIsJX8Yq+cHA23OyH88ewbxbcy2ki96tTStT2NzzUXU5jK2dlrFm43rBSSHUgFrGjvAkIBMTtn+U+fzigHoEp3HwpxAVfr/WCeAx2E5N5GmoK/Um4O2MSyLbi1tjyNP0qANtv4FrzQZmvmtVrJRBNrEpfWU9yNQZb4UeGUS/Lj/iMuvpt2B9xxxavBGj9yv1bnOunAyC97CWhmETXOucM4cZHu6ni6gTPU5NRI1N3z7EF/SapMWOfJrGVr/f2QHPt341M2OqijQHbZm/Y8eMiM6VO6sWFYmW0q0Mo/TcRw6MuvLalxqGteAmXRIqZN2yllnfWkxNs8+FW2+oL7UTsDuhf6hbvpJ1RevOAGpI+uanXk65DDlDqfsfoe/W0JMMrAhmxvunjWlStLpvsaD1mqBEjSTrUe9hjJh+ZTYV/7WMPbwzQ8PfaXXueXwhRL3P+mmZAIkQIyG4PjzwI1nhTMb6O1+QyNzzl7zSTDJWGvTVky2LB/FhzdA9/m/qRjRs7P+CpnKjiRpTIxqOQ+iPbpZ1t/B7Ow3p1LFRJhqi0xgvZ6qPtZysu3q0GgC6sKOmipghL4e+g7geyjNwwJLqqDQqG0Q5rrqKzlwqtYX+eNFfIxkMRRq01eA4yQzeQG/XVHCaKM+S9zcKVOz/c3zEtb5dbrLfuHkMQv8UzGalJj4znMupkKdj/kiWI8rJq7FKwrfuFRi21p7ncL4cvn4Rmsjdccoz7my+JiO6+OHISjPvNc3jv97l297tgCMkV2iFKVTbipPgBqVMJ+fu8Q2VaoOyxx7Tex+swai65q009gTeE3Yyu96b8bgnY1oFsySfx39G3+AlFjPaHRIGdctMgPxzPLqv+cEs0iTc3qNavTkXpP2cC3F9EnhBNj1Yd1UTGAF40/cgjBRpLugT8CgMLeRdNoi9k8boeSEio4LdIvXfyRw7qFAdwh3EV8lmQgxym0XNH22RVRFvnOG3rnvJIXZBi0bUv+r5dQqoV5QLTw9jiDCiCgx+YSHpPP0mdfo3xiK+K1/SSzGgMwwAMJfgNSHCLrJj7yAfsBiWam4Nng81iFg9KQsh4LIBjGpSuRpypuT+X+r8CaumR0JxcJ695TbPckn9i9Bw54FlKkktD8uHnfw02xBkb8YnOZKwcrHemvqpJo8uL3BAqmrVlCQNjs6rfaZFm6Sxz+jS3ThJ+kWdPU+kIyr8AMleNeIQnu23UmTcmHm/CgQYWCUvwirtGbyR3C2mj0GiRgay1IT7P29YNFz70O5HT0znpFNIuroSC3ACv6GtSYwGiCM9j/mz8g4k0OyR3xi4lzvHOz0WhLmroh8TVubnK2X0TrnMDlv3O8hrO6j9n7LjTrsAOJ4+LhmKov2O4xCj+n42KJ5TACY/V/6WxSk5WY++JAFgZG+HA6ph8KkfHq2DghsZt9Kd5iXpZMwBKZMWZpaOaY2LzpDUxdrs11DfY3q4T2wtIso/d3MKY0+wv+84mWWoBIqzi7+US50oVu78kqYI0rSeAnsJrawPLkSkVTQqhtAwTHTZ+iYZLqkO6uP2AqRS1oFkPwC+1hmnSTjRbV1j3PPUZIcz43TJUaep5ZTgx+j8f7yMDtbLCF1FzeZIfVZk9bDhy77PlNAWTLt+i332qJuxiGT3HJeCpT+WrXBxZm5KBWnBjF94mQzQwW5BD/NsYZpQ9A9H4/uw5ejEvuQAvE327DTQLoY9SIZ1IovCmUI7izkQTVj6v0xCct5yqGMUv4U9pgurw1WeFmLDwH0wS8LdiytoJECiLVaX6Ku7p4qFHr/BTOqepfJ5SiVmizIuIlcJOxUestuWicCBJ2fi0bd5sTQk3L+DkhAFM9csi6iYoi8mV78p6RMG3BYaEf6ReAjhbD4kuJficQsZDNOdup/vQ+F86pXDLv9JLC3rh72YK4aSUmcQY3yp/2n7Vjab9Ww0WZLgKJIeUTKpyLjyN5Yo6AxiDvW15+HxxBuHwjUzb1+rCohR/UgQPiNSGCXShDgCSOKzl/2frWzknivHBPqKvel0s1Z6jK+KiCvQM/UpL4Uc3d/R+lrGpetX1wtRvMUd6gO4p7l992JoLmioyziwaSiPWwMhcSpjXDAIMv2g+iW3PyqT+5qA0KRNHVSHtBDGZFC8qyo9MbEUsdhslBaITrtlQC+GSxVcewxM5CRfS2ZvFrK+ou8tsEzPyZey416GjCi5eFF2CRJqnuJRKR9t7J3Ai8Hk5Gq3B2LxmbXXZbL5mmDBlypWyugNbB73XPQ/NEnzsdNzRAxwnboRqqBeoBa4oCoML/OXepV81qAeMDPx0j+fgsNu579dfwpXbb01WWsb0CTSjUsNO97LdBFIB8vtnudOJHiGwNAScbRTkqgCgnMw9gK03Y+H0UHf18JfiF9K7LNz+7V6pAUCfGsbHhLH4KAXyP2GmP0Ob6mm681gqBNdjElWLVexcNKzUA6M6eHatdGM925++LoGeGB9PEUjzpZf3FqQYHzA5evyCqGtesMfHKhoGYENt4iVdN74oUe07pMLWwJGXMQyauXA9UsbDs6I1AcHdrKAZK8+KXGok5PXYxuh8eEaa3UbGuEw6yY3n/FV2E4HPaTc8BxjIR6b4RyhtDvfuUmvBi6wG0i8BJCP9DsHv7MTCVC7QhVn5kZMHlSrPZ08WGwz7lVWfX3DzLvtPgM7iNUpKY2ngocTEH00/TFKU4Ac6bfy//4Qqfrm6bh4SWJI6Zf/E3wLLe4yBi1+YvcyRu7Gj4bIO/bIjggVKNr15MkhWQctM+/n1iMHyyvL+BPrdM/0MR7WqEJZggbZYNyfl0VdDdr5ChQWbc9sWFyS/vyFe57a/dmUipp95jc8bqpwgIKjAZzLgce7adiYUTowvfWeG0K10FsoVxizp6aVB5BrjCYGSbUe/ikVs+NELAjesm/mtE7GTGcdZeLPWi3b4qjUPsQq6ovvGBth58NuzXiaNE2azXQRqCZnL3U98kpnoFUjCFP/ZF6rtZdfAmdQr/EYzEEW6mC62rxNZ9hrCj/EG2fZdJsZ1BIzjffQg4PeprRFVtiX7UZH2CiqW0JvjEB9ipqj4mO2F6RMAFRWEXX/QL4gD7hs+CGrP4UaG0Um9itkcWpKqW8HVhC3CEnxPNhrPGXbMPUqYVTjqyKWZQiLziDcktDhcnUtnfFG+IbiiR2EE7n0VFiqLAEOuXG+YKYV1ZH78OUQQfqqb/WVyc8P0G4NdEJa20B3FHAnsY4dUJEIzfx4CUW9DIJQJgQQTCMLe6GKvpg920beqPezU+imzy1Es3aax16SC67l5ZwX1f6z5kpueKfYwbjBxCekw1VgwVxR1MOlvzvQo/jxglRRCX1Aommca1ynHe8n6p4eIdb8lk8SpACVNXkFLSyYo64yrtWsnCWmVyfqJNbago00g9IZYeToOfLgWLRQbaza4KWtDeOG+9hFDBBap8hUFv7/m9PuvVJbjw/g29GKu5H4M0BNQbqFTRDXxqI0gewPIHgPI2COdcH2TFJv2YEonYRBcDlANf3SBaGEHJXwSbBcl6U3REKtRwsaKUmz9QEpxe/Y29nWB2xFCeUR9kkA8IlggcBfgWZztfhnp2xVPmP5LdTLMPkguBQ3aU5FdeVCcAj0nROpUGfCa5fyCCw/WDTinppT2kzm9Dlw8Exl2cJbir9ce73si6aDFJdtz2gG4CoyK6bVHJVCr0h/7xIspik/bqvz6ghCSK0AiQsakJ6tsdfkZp1CD5dVXC17KSD5y3NEPBUpzq9AAAE/tjHaELp0959rXNTtCu2QCV2ih6YlJmF3D1zTO4mVaVJGl6z8O1FBZp9R0WR3ae45owqJjn4uT0KxhrKHL4itZCrkkqTBlsVZ/lNnt8ZsezqplZL4bszGskNN9koK96Bh2q2uRGrv3pqtH5lA5SnyLzVcwh/IFD9zjA2f++rSyQjbO1mrskx6SoXfvxx0dbZU/AnPL8pZszOyd2O8OvuK18hby4c1q5UEzySFVIt2ldbABfew3iGDtVle9mF5Qy9xpo4tTt5OvH2+3Yp8NBeznjk80s1PrFBzJrcRm6JEp+GWLWdP9BOM6jCR0Mb6LIhoqP4pdutg1kszBrnAjLdsH8h0GzQax5u9THoVR6ziYpRHXEFLYo/s2BSsNjuL+fPH5/U8N0K61bxPU6sDrYTQ6M2pMkv+3rMZkdus830H8lqrLJxPTT0u2Kw/ydNyTMMFZ3RzwcFTrOHqF9Ie4/Csb0b+VyrH1V+Vj6sAEc4j9QvuYVn0kSs2173lqdqApT7Bs7FDENRRqGK8r7lz9hCZhuxLPBmKrS13w2oF+20unECwOpuOR6/gZhoWT0IxuNkfrAboJmeMzCDqQUo0X/zZRSRhmsBY1kYgvsPj09ZHSwgelJwvMq35NNOZaqgtv6t1JYdS+PbNgB6g8Djm6FDGTeorhiEmZdwfif3vFgM/eOlNNyeIS6uFC8o7GHCnN/qLgcGg5wkwa3iG7E/rNYdwjkcWMU+UvfMr3ZNoQXtw78/7Xzsld9NBBckJs9xsNmpxgTgWEzr0U9+mz/9uFtb5D437i9bJzp6GVEJDVNxRlcu6nN5TOTW9XSsZSUB7yQI5eUKvXhWwwpvSu+yDXDoUG89v6rRgRXIg8IRBlxQiajDs+vXnnHcjKZZdvucyzGRUZkmqu//XeZa3YyOCS98+7ArI09FtC3m0NnvqVzHgFeeswZuQC8b9T1adfDCEO3N382fRNHkgtJo8i09it/ktyvAjCGRti/dJK4RjM5R+o9hxn2Y4npTJdkH047aCnHyxg60bpUkUdDcSXBXJK8RYKrBOWB49BZek1seuUiPFpjEDoELthaNVVWi4Zoc6RfCWUg2LUK5GFHl+QzVXgcVFkeWRA5mDGrpljHb3TQ/Gg0d0TXCCbKiEF4egPz91mWgM96NNSOIhIDH4UWqua4sZOWN2kgRnTBSjgr/0HQPweU7tvnUN7Dny7gv08xZA1+3mumio6TtNVIFzcfhMLGnCIlxPBBUU8DNeQDgLFZGVdEbDtX6FP7r3APAaVrZIvJPi8q166hBtK7Xs+d6kUg0fXnOdFGooXTEdRYv/DUvIBndzNQLvycq5NSDaB9DG/6dYvBp7CpvMHRQK+tng3gxHrt9uy8DguM9qCmxgALlZTRMUH8459DBiyfopMlPgFdtenH0NLOZbajqwkHqIYKrLP966BWMTApJfFwHJL2CPkjorH4Qn06kCAqViNhBIRe6neyN6jJmKisrWNC7ccEff8n8DOtpOzjdTWpoD4hgaumZiuedsK6pctcfDveVwYOSVqyY0f1J8XnsGzIRY5AXikPpnWYnA+nU+ecgICVDin0XOYEpm+KZQFc7gtwYyYkNImZ1i0+O4+rJvTUYKVvjXepxlCl1ux5Pc0LuR7v2mzDJzFYOoKh5cmmzsz+/DYzqq/G33lNeqsXmUANAdCT7a+fkWAdTdXDa769ebEBef0gdCYqAfnLaAcy6LCHTlspkrsxddstJ0ucvZs2Bo4LuIAf/2iuTG68zJN0qVRKxKWYfL2qQCYFi5nof49x9wogEykhNk9oqJT2Dq/MOCaYF2gktRdVDMscOAq0eg8F5weYkTNoi2O2Fj9SyqYjuGBfVLr3VJgqKfbGjrzzS5R8p30+4WP+OYv+ZLzaNN8iG3LhI78YudMSs4nyuvUVpIOMaygjhziLtLa3dFqhsz2PxLpKhPUwWd32OjFiKJTcXXLsLh6wIeFd2vWE7HcSFReSvBrvly9wg135apzzR0ucXfc2OX0vcndqmGkP6EzNf8b+z5idEAXcH5N3hUF5jCtYdljgz6EuBm/brPt7BBUK5ceNNgdUFUL78WRLMDnpVdIXAhmI9v4izhzdpi53Dw+Q+M/wqi0o+qI8Phre4b3yC/jgeNGGhwrq7zQVbXfQhULfBjkv4EX2Chun4ORKk7ux9ILW1PbWeYH0iCjjpWqSPHnF8JiEh+MvWntZRTk/3I2cHvz4EiwezSgWcCj3+D+P3QbJBDE6N41SksV7ypySdtIIcYFaMORzregk5OXMWj2Q+meo04s1fRhfBxXN4lbkmVTD+0KbXfiY8l3zSyopB8K+j7bib3DdgR/FD9FjG7ULPgWTg91aGDIZ66Cjs5ME2b4YakgsacOubb+ahMlQYAz9EIMzJQ5GnNMhXCFzomllfeqVDoD5E85+1v9dm6+aQH0ZGsGnFIfCG2IIrjXia3ey8lF8NzBCkCL/e1ti8TLMfGfy+RKdjwNnBjFZVo9kGg9AgnXA0w4EPBE05JpS4am7tbbrVnIoysuMj30otgqObASjPrWqgFsEoKFQpavi7Dban1idgpGMqU584lorzaCgarG1VkVlrtXlpe5X914a0D2FLY5c0ioVqF9yMtNcfYONKB5awcwkDmpJ8LfmZ6te5+GoVnrzQkF1sU+//6VnNhzoFvKAltc+L0q5Yn6+BZnL09wVsezC/Yh+Lu9BJ+/l7jPJSiSvYDkc0AZ05+A2gp+CyB8i4CRP1qMN3IssjAo8LKqhJImuP5CtgYqa/JI/UnNQoNS3qJI7nSAarJ6jor3LcwQ5E2xOT6DObV6TX6/CET4SM7puBCSenfzDVo1ah57iJ+PbXJobVwfVPrz4NcoWXAKgOSeGdofG/XpY2TLDkJmGdcLoAvbF+Q1wLfMYl6LXfWRra4hEkT84D24iubQpyx+q8vkAypuBSa2hnwIBTEr4jGeG88ltFQyMkkNzseNNXywZrLNj+mWPlyW1CcyhEZ60eBQIY3A24npCY7y6TFHq12Lt1GQ6ZWI8ewhMwT8fGdk/XG688nSFaBqUb0B0qMEamgwNc6YlH2wLy/a4QE6rSwpf9iGRSGesK5n1paBtX51daH1pwO9XLy/hzcS4qTNOhxxBfqLP7P50wSWDYuNI60Lc6N4i8OwhRlVBn34uY9F7jAfXLfcKZYPArqFixi5mwXYMdwp8XVSntTwsJp8OEzVNG3Fa48bIqwc8M3WpnV44cIlmdzs8fSaCNeve8+ekoCadqfApY5JpyaGZK0azyhsp/mlgqC3tTQiVDLnmpnhOoD7yKmECmGehuEOqaHXw8/2Yp4bN5efH2z4SxM+a7CThwWmbLUYs0QXMYUzdwyHZtcvfWwyH0WK6R39xzjr70yJjJoYq8enyIgaTOecOfz0YOCYBSJctRH8SjSRToZTly/YaPYtMCgU1mFpqY5Df8mUMphoU+mohDzgwR7aowk/JfLPU4XMfE2QNJ0CSbaSM06hTn0nS/ihJhhXhGQkw1yVWhzIN8GVr3oE2qSL5pWfmNVnpyqakcnvP2vhwaZjiWUIhffB7RSoIohHfy0MSDxVrzcNlE+m6z392GHzH0C5IEULoc4cBCCZyiS6vlFQngVnWK8o3fg8CPNaRm5116FLNyzArlTgzJIYDR5meRPKjulh1/3yNq+oGPZSxkQabFp8hvY+WEbybJFRZZmkdhJ5JTQrypaijLGaMgeipJvU+gAv44gRhO5otinSM+Bq2rTM5TSOnNBXqvVCYO2unfmM5OIdLUlCGkBhP+7lo5Kj4xF9WsZpB3R6bstT65qverOMZO6KvpsQp3lkZlVr2ZUju0g15rnsx5mYjMCc1F9JMgqaSr69/EPEX4CApkSUMeBEdgx7S8wB3LfuX4Ls7dpD4XmhbrvtE/Z1dpgBrrjTzJT88DhX7ILS+8Y9t2YhFcHddgZ3Mk4RFyrxV7ylNqcyR0/L5EVcU82xvaAQJ03vBHfatiBTFU5GdRNEYWVPud1YkZKuhm3LvcYcKhcgGFwjlU8ROYaO3HOf5g0hnD3bjQQPX0LaWVzG/z6i4Xf/K2Y5WnsROu4xCdUiGvr/q8OGeOBWTViRc/irqL+coNCAgd2LNFIXpDCqalWhxvM59E+F6HfVxq1KDjIlUcugK8Wem0/wySfOrJC2ilr5vptvyB6yNPhbnzcB0xUaTwM6E5RIl/CWBDDce+R/TRn0e2CGXYJ9VG0iq9RSZXBxFsE3ECemaA7GG57+JnE5/UInQX/kDj2ihhadN5iLDWwjLS4BMWblQ4uzLqANearr+RiwJ6gTSSf1znm+tHwKuBYhuEdzAJZBFuj5hajMk29fQq3k6LOx9p5akJ42Lx0Qvaz/T7uRLf9G1bVc7rsZrZKdGptbTf0/afBPN3K85OMvympUTNxtU+IR11rs7QnaH2Lftp3Hljy9kgpZvkGy3FXu2YPS4ECJhE22Jl/n5MQ81808ptW7XvOVPbPnIbbg8A7zFge1DzegjsJG82PFmGi0WtAvmdPEtNbY1Rd0qG4QXrjPMfjVjkLaNn0lISFdgiNRDGLejPK6b2667WH11OpB4k43TXXv+S4tybMCs1qAiSSuSvxqM1pIRQbtg7dQkZdJzZJ4fDjMahuakJ9k6zY6QfrmTzTEEPu3SCg0kkTV6lxJd5/xhc9ZJUUd2XjIrGczpi21Ir7RX8LnTvw19Y79ROBwXuxGiXY3jhPJZ960Jy1E+fQujgD/fGgPrSUzTscn/tNZanzoD8EvAmTjWxaGn+Os3JJf2QUmmRA4rZbXGQgN8SUoYgQLjgBReVX1fZXobfPv08yiKQajaTiLUZpS29RLRVeZw/OgnxxJqcbLFkzmBZ23tzvKT5u1pRkAIA9ghGLL4rYC/7GKWEBIuandJDRhRVfq11vUGppjJ3haWB0uttDGjYHb16AEG/iRXn0DiaGztkvIYEUALg0fpAJ/L3hQo1VaTULqBJsjONQjVLwsEGEdnTUMlZySAjsRX/LH04RwUDjAcwkNBmpIDpVyo+VuihIHkGQUbp7DkovnBts1+QnuUOZghrCeMbdjl7M3RPEyvWHtddFUOxD+ZNbYnX/HMT6tYs7pA+Ych48wdwC4/mJAaN6Pw+K8NvOHLWw0xUOXJGWQpTIz3jWKzEfAjAggg5mQkPNw3jSnAVFNtm+19JC0B+vFnYVtFGFSxgE1E4cguXKvmI3XVw4VifGwn7EK/cLfrZvpC2hqCXDlRjps82p8iQOaWU+RTb1RL8cebvbKaY9O7knfQCegddlJt0FsHfxoLhZHzpgd4lFdCak/KLgwCJa97XnyoBaCwIbN/R462xDSd/K06LUoiPng+equB6fp6yE9L8maSG/JRTKKQn+SEHAAA4ccRREuyOGTKzpCb9wJc3hQthatak1QwxTDuscON1nnfITTBmqoh3yubAEpf+eAJ6cwmMwksqPiylNGHqH2Tf/1tBqpU/zo4DuPUvJFPcwfXd4ZUy5sB/kePqjEoLecGMoIjbvvLa4k8nzkavgtY8ZUji/sLMjdqX812jmxSv7wpEllahYCMNXGKqRAvsQvLLsGqVREMyEAlzeOI5WM03vCDDt9ql3GkWxxtS/rtvEh9Mjl7UnDtqbsRTTqJzYXnLyHyxU6To4bMwIDGCJliHT9q/Kj0WBYATcewoQAUzpkNKycT+Tn29V+pO8vGxHVYushpdT1BL2VsAQGil3dZX2U9IVgd991GH8Rd/QTobUfsLCCyU7ARLT6tdZTvlFHhAzOdnI0f/mPfn2EdjmgggKo/YaEBU5isaSNO7oYYh5j7EmnlEiPc/j1U4vixJwO+aIOwhhIychFpNAvnpRc4160ZniPbpM8iHreVj4AH5+ldTH9+j5UFpg9/DbxpX65rbw9gj/zzOZgTqFzAlcZgJT2IvhWZUpty0W0ZP03oThBTpmY9yqCRuvr+OeeLyEZvMIJmjYPXXK+/oi1bfy4z4cNp1g6n+rb0Hw/E+R1wier6qJRoo1axjGe46ec1LFFnOkrZujPMKvIDZbaKycS3bLPsTiL5tukXM3BZu3vqHVTv/zK0hiYKEVfG0I6wKNMt8vLeJtkvh4kaIlhLw8EGhEr7UFfNhL6GchB/XL+SuE924qsqHe4Bk1hNyWWcoHl0Q+dKfXUqpOoK+rZGdkFghEqP2QVOrciTMmHGGz7HLs1HMR9jv4ncRMnQ6HYQBgnJYLy6ErbrFrJH5FJhHmnTWrKqEUICYgrbwcW9qbHVq+nPVIXImubE6TXUOTeER24Th5FfoDnp+6GG57nZt1298HzHqhCEVnVRh9AJB6+Hod5KtwmDcWWBlLifjLcdiB3OGVIHpegD9Ufc9lVd+eBGp0xehGe+upYjDr/+YObZKuknm2zdm3xTlT01Y7Ok5ZZfQzMMpLsxBAqxJk7C2MAy3VH33mah31LleQvtguUZVu9lsHMHOwRiNxL1rxqPy2cXFX/BMcFcSc/m6j4cj1MRuWEtW5KPwbspnqgpixnG+cyKEH4QiiY8IhIgwsZ9ZINkdbQ3kEXddN4w0uLZwz1JjUbboD6DZ9q1N/rEoUvqdwMbvMRW7ULqGfbrtFbDdCE4iBh1PCFXRAYgDjpxqNRBurTu38ru3sbsO1tajZ2dbdNhymSLp2Vgb72eaQiM54C+d9NjTBdC+r7cUJcDN4Z6/aeZmop/MLGwVbpLHHxIjomWMIwztqStx5IKh8GazaN85NuiGo0uTxznd2oEqgOKuiLPFeuoD2Nc38iXs9/CfZpvt6libBkR2UQeXIuvIzwpTseQe1zDKW0XyAgFbof0ejJCDpBMhN98CEhUVruGNgLRCJMDBKOTii05bDa4iJ8kBNM4y0GGmp26s+B3JgD/b4Z4+q1GHH7eeXPxYZ6c7wEM4Dv0Ah2PLR4fGIiR/QWJzk4ucSaBU3oUr0MsKcwgPmN0+lLrarHcRsXLuMeEuaALVXUsglcwhVDTbgONnrJib0r5cRqd3e+mQtSGoFgyr4wpHdw9aEFXwk5wDdxUjDS2xNh5cjZtLHYcp7oQM6os2uISxeAZaTaaqNym0j/iX8jY1fGHmwXiQotwXa01GhqNOZPxtWwjpTunC58cG1OeU5cnzjLcP+D9YTxgipY//rOuYtZzOAtswEmkkB3efK7RZjEwT24fI3DNhNu87eDDwPUlz+i5WcGQvqnniXUfgoDvMUmI1g2y92cAnd4ohaxV1VrVOPpv3mzlhUT5inFVvv9WF8T+0ba7vVJPStru2SyfTXJT4dDhNJ5zTDPOB7mNGjIGiaFMiWIqancamKYc8r/86rNmgu+atUdaFQlMKQatSy9U+ZSyxoXWwCUfYHQ9eXJWYJK/pQWRAjiUJ480N8bCrzlnNaiKJW2Ws2Wh3JTVW32RIINqXqIDhM6PgzMniRvuRGrnA6efTi1lFTFvdnjFAVhB5MbwMXFceX/0bVv7vtuz9qS5QB5Rtmh2RvJi0snx7iy6ROhWtgkzly8RY6d6xq3l9zSXtF5AnZUJaAWQ7JzUP9HE1QAFGu55hZSLL9W/ok/h6MI6N8+0YS23VHnWN52Za1tflS7H9yjTJZG26MbxawplG9MbIK+gmbHZqFeVA//KMZZiiVSrgJWwyYlLOSTUsN8zBtTFeBVjVLSveYicR/BZQ1GHQ/QdfaAOPkx/z6KGTnPcTpO6MFbcX75rJZJ5ry94d2r4bd4rcn7doP+w/pwraF/l97mS7GXvs4gsC1TOT0m9Bvt/N8gGuMVq8wn8pmyNIdNMvXOivF0tOWDgOtY/MmsMG3mboQVomBya6CTsxWtuZiAhJt/XHWZZ/Je2C+04hjAh0FQa+B4+y/nmJzlef39pigNDDgE7XJ5+28E8nUA0UCZc79ccph4Wlue/i+H/suakUcYeCM1FTGjxTbW/LIsTnTe4gLrJhQATeDHYW6OyADihbY8mcspA6w07RgYkPmtyA/1vTTfNYoANjUXC3VIWG83kxpOiuuphNESn1b80aPRpzHcOc0UbTD9HvCNbuYToCQgWelOyyDk04Y7FJzVEroEBAWb8G2anUtnDZSlQloRL4G3LbN6HohAObYgF94SNebepUrgOJHqVj2ggcvsJuW2PXkH4h4SftkhVYVP9uFqBqyqdWZgcXnTldGiMfneuhpVV3nvvr98DB1s5YW6XK9utFxeEwA7j2ylruGfgEu22b1wlFTGUGVODyJg8d36fEafww37jqjGF9lj/VyV914rxD7wrOBtAPaTwZBrdF+AB7M0scBtmgwwziU3trRdYVjpI/SNQWq+UTx96R4x7RmW8Xg9oztlD2mo+8niFljoXW5QOIXxXBK+xEZ63+LMbA/rDkfEkMaQO+6YX57z6mvxUsw4kyODskOKrmiCsJvfweV6FlFCK7UL26wpWHbqJtmdQDEl0KxasUc/fuSlNYZvpS3Xp7/XYHrwoEm41yR1v247QNd+rgPhl3+tvDhV2wFgb2SNkXvH0zuTZWy34GGDZi08MOBdN0IRRpLlAhItW9CvTKVGobz7M0Wc2xgWKH5bdC+2kjXthZ1nBJuEVF54IJt7/u9+ri1d5kqx/T7BKmulpOeTpHZUM29yGI+PkR7UkHqksangTJYpSmg0nxA8UmeiiqwLDxzBpoELvpwzAz93zxDxxt0FzjB3ljmiCwTjZkMnUss2C4U2NtZUc3wzUg6E7wMSh4JsWUwzKf2r7CVyNPrMRh6oy5jDPpDvRm9g+8zM6ElDzEx11lXsAPpkK+DAb6ZpiGQE9T02D2IsoBPet9Nlaqor2kc3Fqr56JF/7+xTNNiRjywKDSB7SYWlELJUSJnCnwv796Amvj+d12bYor3WmDs4PIxrbaFDYnhr14lvVtmm6xoD6Tk1PE3Jt3shvfA7GbxwKaw9yjQiVV2rz16FlrEZX+66lm7QSdc21DqCVzmZyzUjXMq1YPm81O5jo47pxM5E7eM7TaFdLqc6eTy8U0xcg164KdGyEi16rH7p1MnwDDAoUO0OGMmTcq6jFESJxePh4HpZQaNhoHa4pHdVP9lhgueZMbQ4361uAjkaxVJZ1LoPHXKPn2qKJAxNRib5pHHU6q4yuCkVgwmzb8zkg7u3D3KX/1xgtPfG7tln54qyYyF8tsudPv0ugncepyxFxr2A9We5tIit0Xu7deKlOGvmlClOdyXY8TIQhtsWklhmbWnPt/UEx22mf712O6y0xCC7JEVXEfqfeF0zMKhYgpIiC3gUA+cOV5dxpUSCdABul6EARxUZVVEtiF9QtaNR1O24uBffc5yMFQZg77Gztl8B217kQxPjDlESmLUv+vIBF1d1+7qLekOQjPNaqVUFvU4Rg47LNkgbeYpQGrZY9WLkMykOLJaSYu3leXzUGZ4oQ6nCaqwChr2pvonQQZ5WfoV6XZYtaZQjoxvGg5r/aLVRvMktCdURzolY+7EXGGTScXlrb5asGbdy+5XILwyZWe/8J8DPlmsNPk5OLKTsHGIpG7wGv/fxYzobnoNGyt3SgpZlAp22lu40DxpFQEvrJ0/piuviFuBxGnEpjTUHbYtZ+sX6+xe6AC8aLFKD09e8JvxkPlHx/MuTUrpZ446JSJF+D8J8Fjk5+UkDOrYKVCXhOe0NhtQj1gv6xysq+AvdHLgyFrr1KYEPIr/5Gxuk+sCIlZP7wZOyxOCjYCrJfIqkeM7mMFT0CnQlKjmd+0wFCMj255dBko50h1GUkusvl9FUAdRSI46Qf3hSR2BlVcOzrHSZ29z/NKyBq5Dn5AyDZY8vpuD2Wk9iYLGoDeEqe68809nSyYAGaeDKOf/w3d8+FAU2sEV4SYJOhawd0N5gHz0TISZrzdKRWtpolo+YSvqPypfJvjBfnkLLrhTzRlwjbsPCTgCQmfDkiUz9ERiChvxcMMJKwMCnrGhJjmj7s0DNg52ts9itbxFmdDIHTxa+Nm4g7/ZNvgxxZWQop8f/xbizaNCWahMhKFMNL4yCZ6Qz+dcV2qV8rWGcL1aUAjh0UqbXhIxAf2wvIPIiAmbtmgu5T72epJbddtq7Qq/SOb42yZylPO/qJxBrYc2tigLm19ZbHBH+XydXjfBjLvCkp3Wfl/cgOzl+EKPc7EW77F2r66yrP/lU2Az1Lp6KouXVFb0YTxsAae1Ygo4+b3UNJ2/sWkmbYjy6OuTgjo2Y/1lJQlayhQJW/n4mtV/gyCZmz6Q3XBdk8VOzDEf0H2RX7q1SkHOQMwn7G655/vvKxqNc/jrUt1DpWgZQ53ZpgvRi/0gmSgjOEQzTGPMZ3W+FHghgLaQ4DFAUGmgSH3y5vUOXCSffRQ3u0h5hVIlZHJ4jGB8nS5jISObBim2xiVgwH1/YRcdBOOin5yZzlVPVJAukQ2pcz1F5Pl1qiBCu955e6rZot+EJ/qFYjAPslIQMTYXkhJNZq8WMlgkPXLzAzo33iBxrCemAkGwCuZXyWnhSoZP8k82Bw5fUj0MvNMTO95ulBsFnLRS7pbPW8MgdHm7Tr9MgtZLwZ2Z5X+xQfhSQCSrW80skvDy0B8b003JvTkyvwIUnhKW6wskkBvoEdvY8rTcjna4Fif10YlAOXKoxeM6AvocOGnyWzjpWBzb9ehwsyqWJd5IkzKMr+QtgIqralbTM7d+WpqfwYokhfjbQ0j5mevqZwIEZn9Ro/URKJdFeRiFIrm58IDvAz0V/3/FsT5iMrmCe6xirIM//TQAqkoFIRnOr34pJEVhwG3wqKahud0AfVW8MGl7MugY7a3X+8QCc32TZwQgswZzCH/cR8arrxLPc9tNIg1qKGyrXRxMmPoOOi8EYVRJ3JFVaA1TbhCufcSRh7Symk1i/rFmBIZGgp4JD/BWngB+sZf69ULZbDLv3z1t7UFSOGPqoWrB3/0GLkacduEpxfkMKg1seD3Nqm+Cke+TAOKOr7hXTHv+PAG5am2/bSUqMpw9ruAgPlxlzzwu8tmc6tmjvWzAzhmmh7K5jOzB5me00xwqdA1ZpOuPrjiH5rseSwWUoPZ/LEDxEaSA4N7f6I89jQIc+LLIubCHQOBcTS7wEL+UlMTsYemzfDKZAoCMHfTs9YuUPDvJIBT0lR5vKzYlqraug7cx4urGJSZOP8dNXpX4qQIyDzAWwy7JmWI3ne6AtvNaAikIFHaSGK0vnYpMYo+27WGhfRWLG20xnIAxOvXTIHGg8Lm2j6JNIBK+V4UPz+b3wzGqbSGKlcDTrLG0MGKvq390gOOBQCttwejV7KfDKu/YgLCb36lAqdonOdXqHGlRaLTXcfx/wKRprklhouF1pojjB3i4ULuhGb6+R/Un04UNDQeQV07INBhlL5l89VVJxP7pEd3N19V0xcTumaXOpxOCkKvbBoN/huvgdr4VhiTuzYuxG/XSFLASCOTnZnfG4SXqcUNRK7EMSscZvzYQ9wu2btGaBZX05K295JI0HE1RvVo485H0gG6Ht4lQfIEJfYgCQvUjRhHaGpbT6ok5nhmwGwmz9oTjyzzbhSuu9S1r0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{"type":"ai-title","aiTitle":"Hra v prohlížeči","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a"}
{"type":"mode","mode":"normal","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a"}
{"type":"permission-mode","permissionMode":"auto","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a"}
{"type":"atis-latch","atis":"1436c539c3f4487e","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a"}
{"type":"queue-operation","operation":"enqueue","timestamp":"2026-08-26T14:32:31.308Z","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","content":"btw jakej typ hry vytváříš (tetris,pacman....)"}
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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3781,"cache_read_input_tokens":29032,"output_tokens":37685,"output_tokens_details":{"thinking_tokens":32973},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cach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:focus-visible{ outline:2px solid var(--cyan); outline-offset:3px; }\n\n  @media (max-width:720px), (pointer:coarse){\n    .touch{\n      display:grid; margin-top:14px;\n      grid-template-columns:repeat(3, 1fr); gap:8px;\n    }\n    .touch button{\n      padding:14px 0; font-size:15px; color:var(--ink);\n      border:1px solid #37245e; border-radius:10px;\n      background:linear-gradient(180deg, #1d1231, #120a20);\n      touch-action:manipulation; user-select:none;\n    }\n    .touch button:active{ background:#2c1c4c; }\n    .touch button[data-act=\"hold\"]{ font-size:10px; letter-spacing:.1em; }\n  }\n\n  @media (max-width:560px){\n    .stage{ grid-template-columns:1fr; }\n    .playfield{ order:1; justify-self:center; }\n    .panel.right{ order:2; }\n    .panel.left{ order:3; }\n    .panel{ flex-direction:row; flex-wrap:wrap; justify-content:center; }\n    .box{ flex:1; min-width:128px; }\n    #board{ height:auto; width:min(74vw, 300px); }\n  }\n\n  @media 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{"parentUuid":"d6bc3d7b-d6c0-4dd6-b597-75bdd322b497","isSidechain":false,"message":{"model":"claude-sonnet-5","id":"msg_011CeRXdtQdzWiGiER2trbBH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U7U4XksFDNgnhJJZrWyf3Z","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/claude-1000/-home-tonda/809a6534-5852-498c-9da5-0fcab3335c9a/scratchpad/neon-drop.html","old_string":"/*__CORE__*/","new_string":"function collides(p, cells){\n  const cs = cells || PIECES[p.type][p.rot];\n  for(let i=0;i<cs.length;i++){\n    const x=p.x+cs[i][0], y=p.y+cs[i][1];\n    if(x<0 || x>=COLS || y>=ROWS) return true;\n    if(y>=0 && grid[y][x]) return true;\n  }\n  return false;\n}\nfunction nextFromBag(){\n  if(bag.length===0){\n    bag=['I','O','T','S','Z','J','L'];\n    for(let i=bag.length-1;i>0;i--){ const j=Math.random()*(i+1)|0; const t=bag[i]; bag[i]=bag[j]; bag[j]=t; }\n  }\n  return bag.pop();\n}\nfunction ensureQueue(){ while(queue.length<7) queue.push(nextFromBag()); }\n\nfunction newPiece(type){\n  current={type:type, rot:0, x:3, y:0};\n  gravityAcc=0; lockTimer=0; lockResets=0;\n  grounded=collides({type:type,rot:0,x:3,y:1});\n  if(collides(current)) endGame();\n}\nfunction nextPiece(){ ensureQueue(); newPiece(queue.shift()); ensureQueue(); }\n\nfunction afterMove(){\n  grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n  if(grounded){ if(lockResets<15){ lockTimer=0; lockResets++; } }\n  else { lockTimer=0; }\n}\nfunction move(dx){\n  if(!current||paused||over||clearing) return;\n  if(!collides({type:current.type,rot:current.rot,x:current.x+dx,y:current.y})){\n    current.x+=dx; afterMove();\n  }\n}\nfunction softStep(){\n  return !collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n}\nfunction rotate(dir){\n  if(!current||paused||over||clearing||current.type==='O') return;\n  const from=current.rot, to=(from+dir+4)%4;\n  const table=current.type==='I'?KICK_I:KICK_JLSTZ;\n  const kicks=table[''+from+to];\n  const cells=PIECES[current.type][to];\n  for(let i=0;i<kicks.length;i++){\n    const nx=current.x+kicks[i][0], ny=current.y+kicks[i][1];\n    if(!collides({type:current.type,rot:to,x:nx,y:ny}, cells)){\n      current.x=nx; current.y=ny; current.rot=to; afterMove(); return;\n    }\n  }\n}\nfunction ghostY(){\n  let y=current.y;\n  while(!collides({type:current.type,rot:current.rot,x:current.x,y:y+1})) y++;\n  return y;\n}\nfunction hardDrop(){\n  if(!current||paused||over||clearing) return;\n  let d=0;\n  while(!collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1})){ current.y++; d++; }\n  score+=d*2;\n  lockPiece();\n}\nfunction holdPiece(){\n  if(!current||!canHold||paused||over||clearing) return;\n  const cur=current.type;\n  if(heldPiece){ const h=heldPiece; heldPiece=cur; newPiece(h); }\n  else { heldPiece=cur; nextPiece(); }\n  canHold=false;\n}\nfunction lockPiece(){\n  const cs=PIECES[current.type][current.rot];\n  let topOut=true;\n  for(let i=0;i<cs.length;i++){\n    const x=current.x+cs[i][0], y=current.y+cs[i][1];\n    if(y>=0){ grid[y][x]=current.type; topOut=false; }\n  }\n  lockResets=0; lockTimer=0; grounded=false; canHold=true;\n  const full=[];\n  for(let y=0;y<ROWS;y++){\n    let f=true;\n    for(let x=0;x<COLS;x++){ if(!grid[y][x]){ f=false; break; } }\n    if(f) full.push(y);\n  }\n  if(full.length){\n    resolveClear(full);\n  } else {\n    combo=-1;\n    if(topOut){ endGame(); return; }\n    nextPiece();\n  }\n  updateHUD();\n}\nfunction resolveClear(rows){\n  clearing={rows:rows, t:0};\n  const n=rows.length;\n  const base=[0,100,300,500,800][n];\n  combo++;\n  let gain=base*level;\n  if(combo>0) gain+=50*combo*level;\n  score+=gain;\n  lines+=n;\n  const nl=Math.floor(lines/10)+1;\n  if(nl>level){ level=nl; recalcGravity(); }\n  if(!reduceMotion){\n    for(let r=0;r<rows.length;r++){\n      const y=rows[r];\n      for(let x=0;x<COLS;x++) spawnParticles(x,y,grid[y][x]);\n    }\n  }\n  updateHUD();\n}\nfunction finishClear(){\n  const set={};\n  for(let i=0;i<clearing.rows.length;i++) set[clearing.rows[i]]=1;\n  const kept=[];\n  for(let y=0;y<ROWS;y++){ if(!set[y]) kept.push(grid[y]); }\n  while(kept.length<ROWS) kept.unshift(new Array(COLS).fill(0));\n  grid=kept;\n  clearing=null;\n  nextPiece();\n}\nfunction recalcGravity(){\n  gravityInterval=Math.max(15, Math.pow(0.8-((level-1)*0.007), level-1)*1000);\n}\nfunction tick(dtMs){\n  if(!current) return;\n  const step = softHeld ? Math.min(gravityInterval, 45) : gravityInterval;\n  gravityAcc+=dtMs;\n  let moved=false;\n  while(gravityAcc>=step){\n    gravityAcc-=step;\n    if(softStep()){ current.y++; moved=true; if(softHeld) score+=1; }\n    else { grounded=true; gravityAcc=0; break; }\n  }\n  if(moved){\n    lockTimer=0;\n    grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n    if(softHeld) updateHUD();\n  }\n  if(grounded){\n    lockTimer+=dtMs;\n    if(lockTimer>=LOCK_DELAY) lockPiece();\n  }\n}\nfunction endGame(){\n  over=true; running=false;\n  if(score>best){\n    best=score;\n    try{ localStorage.setItem('neondrop.best', String(best)); }catch(e){}\n    elBest.textContent=best;\n  }\n  showOverlay('GAME OVER', 'Score '+score+'  ·  Lines '+lines+'\\nLevel '+level, 'PLAY AGAIN');\n}\nfunction updateHUD(){\n  elScore.textContent=score;\n  elLines.textContent=lines;\n  elLevel.textContent=level;\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2536,"cache_read_input_tokens":70744,"output_tokens":2596,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2536,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":2596,"cache_read_input_tokens":70744,"cache_creation_input_tokens":2536,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2536},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CeRXds5GfNPrVHeURK361","attributionSkill":"artifact-design","type":"assistant","uuid":"11bc6ed4-da52-4f6c-9a37-24a348c8e176","timestamp":"2026-08-26T14:37:19.826Z","effort":"high","session_id":"809a6534-5852-498c-9da5-0fcab3335c9a","userType":"external","entrypoint":"cli","cwd":"/home/tonda","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","version":"2.1.246","gitBranch":"HEAD"}
{"parentUuid":"11bc6ed4-da52-4f6c-9a37-24a348c8e176","isSidechain":false,"promptId":"e9c9cfc8-1ba5-40d1-af2f-904505a218b3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U7U4XksFDNgnhJJZrWyf3Z","type":"tool_result","content":"The file /tmp/claude-1000/-home-tonda/809a6534-5852-498c-9da5-0fcab3335c9a/scratchpad/neon-drop.html has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"dc59330b-2817-4d29-97a4-b592021360bf","timestamp":"2026-08-26T14:37:19.843Z","toolUseResult":{"filePath":"/tmp/claude-1000/-home-tonda/809a6534-5852-498c-9da5-0fcab3335c9a/scratchpad/neon-drop.html","oldString":"/*__CORE__*/","newString":"function collides(p, cells){\n  const cs = cells || PIECES[p.type][p.rot];\n  for(let i=0;i<cs.length;i++){\n    const x=p.x+cs[i][0], y=p.y+cs[i][1];\n    if(x<0 || x>=COLS || y>=ROWS) return true;\n    if(y>=0 && grid[y][x]) return true;\n  }\n  return false;\n}\nfunction nextFromBag(){\n  if(bag.length===0){\n    bag=['I','O','T','S','Z','J','L'];\n    for(let i=bag.length-1;i>0;i--){ const j=Math.random()*(i+1)|0; const t=bag[i]; bag[i]=bag[j]; bag[j]=t; }\n  }\n  return bag.pop();\n}\nfunction ensureQueue(){ while(queue.length<7) queue.push(nextFromBag()); }\n\nfunction newPiece(type){\n  current={type:type, rot:0, x:3, y:0};\n  gravityAcc=0; lockTimer=0; lockResets=0;\n  grounded=collides({type:type,rot:0,x:3,y:1});\n  if(collides(current)) endGame();\n}\nfunction nextPiece(){ ensureQueue(); newPiece(queue.shift()); ensureQueue(); }\n\nfunction afterMove(){\n  grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n  if(grounded){ if(lockResets<15){ lockTimer=0; lockResets++; } }\n  else { lockTimer=0; }\n}\nfunction move(dx){\n  if(!current||paused||over||clearing) return;\n  if(!collides({type:current.type,rot:current.rot,x:current.x+dx,y:current.y})){\n    current.x+=dx; afterMove();\n  }\n}\nfunction softStep(){\n  return !collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n}\nfunction rotate(dir){\n  if(!current||paused||over||clearing||current.type==='O') return;\n  const from=current.rot, to=(from+dir+4)%4;\n  const table=current.type==='I'?KICK_I:KICK_JLSTZ;\n  const kicks=table[''+from+to];\n  const cells=PIECES[current.type][to];\n  for(let i=0;i<kicks.length;i++){\n    const nx=current.x+kicks[i][0], ny=current.y+kicks[i][1];\n    if(!collides({type:current.type,rot:to,x:nx,y:ny}, cells)){\n      current.x=nx; current.y=ny; current.rot=to; afterMove(); return;\n    }\n  }\n}\nfunction ghostY(){\n  let y=current.y;\n  while(!collides({type:current.type,rot:current.rot,x:current.x,y:y+1})) y++;\n  return y;\n}\nfunction hardDrop(){\n  if(!current||paused||over||clearing) return;\n  let d=0;\n  while(!collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1})){ current.y++; d++; }\n  score+=d*2;\n  lockPiece();\n}\nfunction holdPiece(){\n  if(!current||!canHold||paused||over||clearing) return;\n  const cur=current.type;\n  if(heldPiece){ const h=heldPiece; heldPiece=cur; newPiece(h); }\n  else { heldPiece=cur; nextPiece(); }\n  canHold=false;\n}\nfunction lockPiece(){\n  const cs=PIECES[current.type][current.rot];\n  let topOut=true;\n  for(let i=0;i<cs.length;i++){\n    const x=current.x+cs[i][0], y=current.y+cs[i][1];\n    if(y>=0){ grid[y][x]=current.type; topOut=false; }\n  }\n  lockResets=0; lockTimer=0; grounded=false; canHold=true;\n  const full=[];\n  for(let y=0;y<ROWS;y++){\n    let f=true;\n    for(let x=0;x<COLS;x++){ if(!grid[y][x]){ f=false; break; } }\n    if(f) full.push(y);\n  }\n  if(full.length){\n    resolveClear(full);\n  } else {\n    combo=-1;\n    if(topOut){ endGame(); return; }\n    nextPiece();\n  }\n  updateHUD();\n}\nfunction resolveClear(rows){\n  clearing={rows:rows, t:0};\n  const n=rows.length;\n  const base=[0,100,300,500,800][n];\n  combo++;\n  let gain=base*level;\n  if(combo>0) gain+=50*combo*level;\n  score+=gain;\n  lines+=n;\n  const nl=Math.floor(lines/10)+1;\n  if(nl>level){ level=nl; recalcGravity(); }\n  if(!reduceMotion){\n    for(let r=0;r<rows.length;r++){\n      const y=rows[r];\n      for(let x=0;x<COLS;x++) spawnParticles(x,y,grid[y][x]);\n    }\n  }\n  updateHUD();\n}\nfunction finishClear(){\n  const set={};\n  for(let i=0;i<clearing.rows.length;i++) set[clearing.rows[i]]=1;\n  const kept=[];\n  for(let y=0;y<ROWS;y++){ if(!set[y]) kept.push(grid[y]); }\n  while(kept.length<ROWS) kept.unshift(new Array(COLS).fill(0));\n  grid=kept;\n  clearing=null;\n  nextPiece();\n}\nfunction recalcGravity(){\n  gravityInterval=Math.max(15, Math.pow(0.8-((level-1)*0.007), level-1)*1000);\n}\nfunction tick(dtMs){\n  if(!current) return;\n  const step = softHeld ? Math.min(gravityInterval, 45) : gravityInterval;\n  gravityAcc+=dtMs;\n  let moved=false;\n  while(gravityAcc>=step){\n    gravityAcc-=step;\n    if(softStep()){ current.y++; moved=true; if(softHeld) score+=1; }\n    else { grounded=true; gravityAcc=0; break; }\n  }\n  if(moved){\n    lockTimer=0;\n    grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n    if(softHeld) updateHUD();\n  }\n  if(grounded){\n    lockTimer+=dtMs;\n    if(lockTimer>=LOCK_DELAY) lockPiece();\n  }\n}\nfunction endGame(){\n  over=true; running=false;\n  if(score>best){\n    best=score;\n    try{ localStorage.setItem('neondrop.best', String(best)); }catch(e){}\n    elBest.textContent=best;\n  }\n  showOverlay('GAME OVER', 'Score '+score+'  ·  Lines '+lines+'\\nLevel '+level, 'PLAY AGAIN');\n}\nfunction updateHUD(){\n  elScore.textContent=score;\n  elLines.textContent=lines;\n  elLevel.textContent=level;\n}","originalFile":null,"structuredPatch":[{"oldStart":354,"oldLines":7,"newStart":354,"newLines":167,"lines":[" "," try{ best=parseInt(localStorage.getItem('neondrop.best'),10)||0; }catch(e){}"," elBest.textContent=best;","-/*__CORE__*/","+function collides(p, cells){","+  const cs = cells || PIECES[p.type][p.rot];","+  for(let i=0;i<cs.length;i++){","+    const x=p.x+cs[i][0], y=p.y+cs[i][1];","+    if(x<0 || x>=COLS || y>=ROWS) return true;","+    if(y>=0 && grid[y][x]) return true;","+  }","+  return false;","+}","+function nextFromBag(){","+  if(bag.length===0){","+    bag=['I','O','T','S','Z','J','L'];","+    for(let i=bag.length-1;i>0;i--){ const j=Math.random()*(i+1)|0; const t=bag[i]; bag[i]=bag[j]; bag[j]=t; }","+  }","+  return bag.pop();","+}","+function ensureQueue(){ while(queue.length<7) queue.push(nextFromBag()); }","+","+function newPiece(type){","+  current={type:type, rot:0, x:3, y:0};","+  gravityAcc=0; lockTimer=0; lockResets=0;","+  grounded=collides({type:type,rot:0,x:3,y:1});","+  if(collides(current)) endGame();","+}","+function nextPiece(){ ensureQueue(); newPiece(queue.shift()); ensureQueue(); }","+","+function afterMove(){","+  grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});","+  if(grounded){ if(lockResets<15){ lockTimer=0; lockResets++; } }","+  else { lockTimer=0; }","+}","+function move(dx){","+  if(!current||paused||over||clearing) return;","+  if(!collides({type:current.type,rot:current.rot,x:current.x+dx,y:current.y})){","+    current.x+=dx; afterMove();","+  }","+}","+function softStep(){","+  return !collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});","+}","+function rotate(dir){","+  if(!current||paused||over||clearing||current.type==='O') return;","+  const from=current.rot, to=(from+dir+4)%4;","+  const table=current.type==='I'?KICK_I:KICK_JLSTZ;","+  const kicks=table[''+from+to];","+  const cells=PIECES[current.type][to];","+  for(let i=0;i<kicks.length;i++){","+    const nx=current.x+kicks[i][0], ny=current.y+kicks[i][1];","+    if(!collides({type:current.type,rot:to,x:nx,y:ny}, cells)){","+      current.x=nx; current.y=ny; current.rot=to; afterMove(); return;","+    }","+  }","+}","+function ghostY(){","+  let y=current.y;","+  while(!collides({type:current.type,rot:current.rot,x:current.x,y:y+1})) y++;","+  return y;","+}","+function hardDrop(){","+  if(!current||paused||over||clearing) return;","+  let d=0;","+  while(!collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1})){ current.y++; d++; }","+  score+=d*2;","+  lockPiece();","+}","+function holdPiece(){","+  if(!current||!canHold||paused||over||clearing) return;","+  const cur=current.type;","+  if(heldPiece){ const h=heldPiece; heldPiece=cur; newPiece(h); }","+  else { heldPiece=cur; nextPiece(); }","+  canHold=false;","+}","+function lockPiece(){","+  const cs=PIECES[current.type][current.rot];","+  let topOut=true;","+  for(let i=0;i<cs.length;i++){","+    const x=current.x+cs[i][0], y=current.y+cs[i][1];","+    if(y>=0){ grid[y][x]=current.type; topOut=false; }","+  }","+  lockResets=0; lockTimer=0; grounded=false; canHold=true;","+  const full=[];","+  for(let y=0;y<ROWS;y++){","+    let f=true;","+    for(let x=0;x<COLS;x++){ if(!grid[y][x]){ f=false; break; } }","+    if(f) full.push(y);","+  }","+  if(full.length){","+    resolveClear(full);","+  } else {","+    combo=-1;","+    if(topOut){ endGame(); return; }","+    nextPiece();","+  }","+  updateHUD();","+}","+function resolveClear(rows){","+  clearing={rows:rows, t:0};","+  const n=rows.length;","+  const base=[0,100,300,500,800][n];","+  combo++;","+  let gain=base*level;","+  if(combo>0) gain+=50*combo*level;","+  score+=gain;","+  lines+=n;","+  const nl=Math.floor(lines/10)+1;","+  if(nl>level){ level=nl; recalcGravity(); }","+  if(!reduceMotion){","+    for(let r=0;r<rows.length;r++){","+      const y=rows[r];","+      for(let x=0;x<COLS;x++) spawnParticles(x,y,grid[y][x]);","+    }","+  }","+  updateHUD();","+}","+function finishClear(){","+  const set={};","+  for(let i=0;i<clearing.rows.length;i++) set[clearing.rows[i]]=1;","+  const kept=[];","+  for(let y=0;y<ROWS;y++){ if(!set[y]) kept.push(grid[y]); }","+  while(kept.length<ROWS) kept.unshift(new Array(COLS).fill(0));","+  grid=kept;","+  clearing=null;","+  nextPiece();","+}","+function recalcGravity(){","+  gravityInterval=Math.max(15, Math.pow(0.8-((level-1)*0.007), level-1)*1000);","+}","+function tick(dtMs){","+  if(!current) return;","+  const step = softHeld ? Math.min(gravityInterval, 45) : gravityInterval;","+  gravityAcc+=dtMs;","+  let moved=false;","+  while(gravityAcc>=step){","+    gravityAcc-=step;","+    if(softStep()){ current.y++; moved=true; if(softHeld) score+=1; }","+    else { grounded=true; gravityAcc=0; break; }","+  }","+  if(moved){","+    lockTimer=0;","+    grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});","+    if(softHeld) updateHUD();","+  }","+  if(grounded){","+    lockTimer+=dtMs;","+    if(lockTimer>=LOCK_DELAY) lockPiece();","+  }","+}","+function endGame(){","+  over=true; running=false;","+  if(score>best){","+    best=score;","+    try{ localStorage.setItem('neondrop.best', String(best)); }catch(e){}","+    elBest.textContent=best;","+  }","+  showOverlay('GAME OVER', 'Score '+score+'  ·  Lines '+lines+'\\nLevel '+level, 'PLAY AGAIN');","+}","+function updateHUD(){","+  elScore.textContent=score;","+  elLines.textContent=lines;","+  elLevel.textContent=level;","+}"," /*__RENDER__*/"," /*__INPUT__*/"," })();"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"11bc6ed4-da52-4f6c-9a37-24a348c8e176","session_id":"809a6534-5852-498c-9da5-0fcab3335c9a","userType":"external","entrypoint":"cli","cwd":"/home/tonda","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","version":"2.1.246","gitBranch":"HEAD"}
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{"parentUuid":"bd11e51e-572e-47c6-b251-80cd533b04aa","isSidechain":false,"promptId":"e9c9cfc8-1ba5-40d1-af2f-904505a218b3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018zEnmJhtLfiYdAues8v7CE","type":"tool_result","content":"330\tconst holdCv=document.getElementById('hold');\n331\tconst hctx=holdCv.getContext('2d');\n332\tconst nextCv=document.getElementById('next');\n333\tconst nctx=nextCv.getContext('2d');\n334\tconst overlay=document.getElementById('overlay');\n335\tconst ovTitle=document.getElementById('ov-title');\n336\tconst ovText=document.getElementById('ov-text');\n337\tconst startBtn=document.getElementById('startBtn');\n338\tconst elScore=document.getElementById('score');\n339\tconst elLines=document.getElementById('lines');\n340\tconst elLevel=document.getElementById('level');\n341\tconst elBest=document.getElementById('best');\n342\t\n343\tconst DPR=Math.min(2, window.devicePixelRatio||1);\n344\tfunction setup(cv,w,h){ cv.width=w*DPR; cv.height=h*DPR; cv.getContext('2d').setTransform(DPR,0,0,DPR,0,0); }\n345\tsetup(board,300,600); setup(holdCv,120,120); setup(nextCv,120,330);\n346\t\n347\tconst reduceMotion = window.matchMedia('(prefers-reduced-motion: reduce)').matches;\n348\t\n349\tlet grid=null, current=null, heldPiece=null, canHold=true, bag=[], queue=[];\n350\tlet score=0, lines=0, level=1, combo=-1, best=0;\n351\tlet gravityInterval=1000, gravityAcc=0, lockTimer=0, lockResets=0, grounded=false;\n352\tlet running=false, paused=false, over=false, clearing=null, last=0, softHeld=false;\n353\tconst particles=[];\n354\t\n355\ttry{ best=parseInt(localStorage.getItem('neondrop.best'),10)||0; }catch(e){}\n356\telBest.textContent=best;\n357\tfunction collides(p, cells){\n358\t  const cs = cells || PIECES[p.type][p.rot];\n359\t  for(let i=0;i<cs.length;i++){\n360\t    const x=p.x+cs[i][0], y=p.y+cs[i][1];\n361\t    if(x<0 || x>=COLS || y>=ROWS) return true;\n362\t    if(y>=0 && grid[y][x]) return true;\n363\t  }\n364\t  return false;\n365\t}\n366\tfunction nextFromBag(){\n367\t  if(bag.length===0){\n368\t    bag=['I','O','T','S','Z','J','L'];\n369\t    for(let i=bag.length-1;i>0;i--){ const j=Math.random()*(i+1)|0; const t=bag[i]; bag[i]=bag[j]; bag[j]=t; }\n370\t  }\n371\t  return bag.pop();\n372\t}\n373\tfunction ensureQueue(){ while(queue.length<7) queue.push(nextFromBag()); }\n374\t\n375\tfunction newPiece(type){\n376\t  current={type:type, rot:0, x:3, y:0};\n377\t  gravityAcc=0; lockTimer=0; lockResets=0;\n378\t  grounded=collides({type:type,rot:0,x:3,y:1});\n379\t  if(collides(current)) endGame();\n380\t}\n381\tfunction nextPiece(){ ensureQueue(); newPiece(queue.shift()); ensureQueue(); }\n382\t\n383\tfunction afterMove(){\n384\t  grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n385\t  if(grounded){ if(lockResets<15){ lockTimer=0; lockResets++; } }\n386\t  else { lockTimer=0; }\n387\t}\n388\tfunction move(dx){\n389\t  if(!current||paused||over||clearing) return;\n390\t  if(!collides({type:current.type,rot:current.rot,x:current.x+dx,y:current.y})){\n391\t    current.x+=dx; afterMove();\n392\t  }\n393\t}\n394\tfunction softStep(){\n395\t  return !collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n396\t}\n397\tfunction rotate(dir){\n398\t  if(!current||paused||over||clearing||current.type==='O') return;\n399\t  const from=current.rot, to=(from+dir+4)%4;\n400\t  const table=current.type==='I'?KICK_I:KICK_JLSTZ;\n401\t  const kicks=table[''+from+to];\n402\t  const cells=PIECES[current.type][to];\n403\t  for(let i=0;i<kicks.length;i++){\n404\t    const nx=current.x+kicks[i][0], ny=current.y+kicks[i][1];\n405\t    if(!collides({type:current.type,rot:to,x:nx,y:ny}, cells)){\n406\t      current.x=nx; current.y=ny; current.rot=to; afterMove(); return;\n407\t    }\n408\t  }\n409\t}\n410\tfunction ghostY(){\n411\t  let y=current.y;\n412\t  while(!collides({type:current.type,rot:current.rot,x:current.x,y:y+1})) y++;\n413\t  return y;\n414\t}\n415\tfunction hardDrop(){\n416\t  if(!current||paused||over||clearing) return;\n417\t  let d=0;\n418\t  while(!collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1})){ current.y++; d++; }\n419\t  score+=d*2;\n420\t  lockPiece();\n421\t}\n422\tfunction holdPiece(){\n423\t  if(!current||!canHold||paused||over||clearing) return;\n424\t  const cur=current.type;\n425\t  if(heldPiece){ const h=heldPiece; heldPiece=cur; newPiece(h); }\n426\t  else { heldPiece=cur; nextPiece(); }\n427\t  canHold=false;\n428\t}\n429\tfunction lockPiece(){\n430\t  const cs=PIECES[current.type][current.rot];\n431\t  let topOut=true;\n432\t  for(let i=0;i<cs.length;i++){\n433\t    const x=current.x+cs[i][0], y=current.y+cs[i][1];\n434\t    if(y>=0){ grid[y][x]=current.type; topOut=false; }\n435\t  }\n436\t  lockResets=0; lockTimer=0; grounded=false; canHold=true;\n437\t  const full=[];\n438\t  for(let y=0;y<ROWS;y++){\n439\t    let f=true;\n440\t    for(let x=0;x<COLS;x++){ if(!grid[y][x]){ f=false; break; } }\n441\t    if(f) full.push(y);\n442\t  }\n443\t  if(full.length){\n444\t    resolveClear(full);\n445\t  } else {\n446\t    combo=-1;\n447\t    if(topOut){ endGame(); return; }\n448\t    nextPiece();\n449\t  }\n450\t  updateHUD();\n451\t}\n452\tfunction resolveClear(rows){\n453\t  clearing={rows:rows, t:0};\n454\t  const n=rows.length;\n455\t  const base=[0,100,300,500,800][n];\n456\t  combo++;\n457\t  let gain=base*level;\n458\t  if(combo>0) gain+=50*combo*level;\n459\t  score+=gain;\n460\t  lines+=n;\n461\t  const nl=Math.floor(lines/10)+1;\n462\t  if(nl>level){ level=nl; recalcGravity(); }\n463\t  if(!reduceMotion){\n464\t    for(let r=0;r<rows.length;r++){\n465\t      const y=rows[r];\n466\t      for(let x=0;x<COLS;x++) spawnParticles(x,y,grid[y][x]);\n467\t    }\n468\t  }\n469\t  updateHUD();\n470\t}\n471\tfunction finishClear(){\n472\t  const set={};\n473\t  for(let i=0;i<clearing.rows.length;i++) set[clearing.rows[i]]=1;\n474\t  const kept=[];\n475\t  for(let y=0;y<ROWS;y++){ if(!set[y]) kept.push(grid[y]); 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cv.height=h*DPR; cv.getContext('2d').setTransform(DPR,0,0,DPR,0,0); }\nsetup(board,300,600); setup(holdCv,120,120); setup(nextCv,120,330);\n\nconst reduceMotion = window.matchMedia('(prefers-reduced-motion: reduce)').matches;\n\nlet grid=null, current=null, heldPiece=null, canHold=true, bag=[], queue=[];\nlet score=0, lines=0, level=1, combo=-1, best=0;\nlet gravityInterval=1000, gravityAcc=0, lockTimer=0, lockResets=0, grounded=false;\nlet running=false, paused=false, over=false, clearing=null, last=0, softHeld=false;\nconst particles=[];\n\ntry{ best=parseInt(localStorage.getItem('neondrop.best'),10)||0; }catch(e){}\nelBest.textContent=best;\nfunction collides(p, cells){\n  const cs = cells || PIECES[p.type][p.rot];\n  for(let i=0;i<cs.length;i++){\n    const x=p.x+cs[i][0], y=p.y+cs[i][1];\n    if(x<0 || x>=COLS || y>=ROWS) return true;\n    if(y>=0 && grid[y][x]) return true;\n  }\n  return false;\n}\nfunction nextFromBag(){\n  if(bag.length===0){\n    bag=['I','O','T','S','Z','J','L'];\n    for(let i=bag.length-1;i>0;i--){ const j=Math.random()*(i+1)|0; const t=bag[i]; bag[i]=bag[j]; bag[j]=t; }\n  }\n  return bag.pop();\n}\nfunction ensureQueue(){ while(queue.length<7) queue.push(nextFromBag()); }\n\nfunction newPiece(type){\n  current={type:type, rot:0, x:3, y:0};\n  gravityAcc=0; lockTimer=0; lockResets=0;\n  grounded=collides({type:type,rot:0,x:3,y:1});\n  if(collides(current)) endGame();\n}\nfunction nextPiece(){ ensureQueue(); newPiece(queue.shift()); ensureQueue(); }\n\nfunction afterMove(){\n  grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n  if(grounded){ if(lockResets<15){ lockTimer=0; lockResets++; } }\n  else { lockTimer=0; }\n}\nfunction move(dx){\n  if(!current||paused||over||clearing) return;\n  if(!collides({type:current.type,rot:current.rot,x:current.x+dx,y:current.y})){\n    current.x+=dx; afterMove();\n  }\n}\nfunction softStep(){\n  return !collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n}\nfunction rotate(dir){\n  if(!current||paused||over||clearing||current.type==='O') return;\n  const from=current.rot, to=(from+dir+4)%4;\n  const table=current.type==='I'?KICK_I:KICK_JLSTZ;\n  const kicks=table[''+from+to];\n  const cells=PIECES[current.type][to];\n  for(let i=0;i<kicks.length;i++){\n    const nx=current.x+kicks[i][0], ny=current.y+kicks[i][1];\n    if(!collides({type:current.type,rot:to,x:nx,y:ny}, cells)){\n      current.x=nx; current.y=ny; current.rot=to; afterMove(); return;\n    }\n  }\n}\nfunction ghostY(){\n  let y=current.y;\n  while(!collides({type:current.type,rot:current.rot,x:current.x,y:y+1})) y++;\n  return y;\n}\nfunction hardDrop(){\n  if(!current||paused||over||clearing) return;\n  let d=0;\n  while(!collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1})){ current.y++; d++; }\n  score+=d*2;\n  lockPiece();\n}\nfunction holdPiece(){\n  if(!current||!canHold||paused||over||clearing) return;\n  const cur=current.type;\n  if(heldPiece){ const h=heldPiece; heldPiece=cur; newPiece(h); }\n  else { heldPiece=cur; nextPiece(); }\n  canHold=false;\n}\nfunction lockPiece(){\n  const cs=PIECES[current.type][current.rot];\n  let topOut=true;\n  for(let i=0;i<cs.length;i++){\n    const x=current.x+cs[i][0], y=current.y+cs[i][1];\n    if(y>=0){ grid[y][x]=current.type; topOut=false; }\n  }\n  lockResets=0; lockTimer=0; grounded=false; canHold=true;\n  const full=[];\n  for(let y=0;y<ROWS;y++){\n    let f=true;\n    for(let x=0;x<COLS;x++){ if(!grid[y][x]){ f=false; break; } }\n    if(f) full.push(y);\n  }\n  if(full.length){\n    resolveClear(full);\n  } else {\n    combo=-1;\n    if(topOut){ endGame(); return; }\n    nextPiece();\n  }\n  updateHUD();\n}\nfunction resolveClear(rows){\n  clearing={rows:rows, t:0};\n  const n=rows.length;\n  const base=[0,100,300,500,800][n];\n  combo++;\n  let gain=base*level;\n  if(combo>0) gain+=50*combo*level;\n  score+=gain;\n  lines+=n;\n  const nl=Math.floor(lines/10)+1;\n  if(nl>level){ level=nl; recalcGravity(); }\n  if(!reduceMotion){\n    for(let r=0;r<rows.length;r++){\n      const y=rows[r];\n      for(let x=0;x<COLS;x++) spawnParticles(x,y,grid[y][x]);\n    }\n  }\n  updateHUD();\n}\nfunction finishClear(){\n  const set={};\n  for(let i=0;i<clearing.rows.length;i++) set[clearing.rows[i]]=1;\n  const kept=[];\n  for(let y=0;y<ROWS;y++){ if(!set[y]) kept.push(grid[y]); }\n  while(kept.length<ROWS) kept.unshift(new Array(COLS).fill(0));\n  grid=kept;\n  clearing=null;\n  nextPiece();\n}\nfunction recalcGravity(){\n  gravityInterval=Math.max(15, Math.pow(0.8-((level-1)*0.007), level-1)*1000);\n}\nfunction tick(dtMs){\n  if(!current) return;\n  const step = softHeld ? 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{"parentUuid":"41633944-b4a0-4350-a1ed-dbcaf80478c2","isSidechain":false,"promptId":"e9c9cfc8-1ba5-40d1-af2f-904505a218b3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MobYbeULTNcm1pKkRCpjR6","type":"tool_result","content":"489\t  while(gravityAcc>=step){\n490\t    gravityAcc-=step;\n491\t    if(softStep()){ current.y++; moved=true; if(softHeld) score+=1; }\n492\t    else { grounded=true; gravityAcc=0; break; }\n493\t  }\n494\t  if(moved){\n495\t    lockTimer=0;\n496\t    grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n497\t    if(softHeld) updateHUD();\n498\t  }\n499\t  if(grounded){\n500\t    lockTimer+=dtMs;\n501\t    if(lockTimer>=LOCK_DELAY) lockPiece();\n502\t  }\n503\t}\n504\tfunction endGame(){\n505\t  over=true; running=false;\n506\t  if(score>best){\n507\t    best=score;\n508\t    try{ localStorage.setItem('neondrop.best', String(best)); }catch(e){}\n509\t    elBest.textContent=best;\n510\t  }\n511\t  showOverlay('GAME OVER', 'Score '+score+'  ·  Lines '+lines+'\\nLevel '+level, 'PLAY AGAIN');\n512\t}\n513\tfunction updateHUD(){\n514\t  elScore.textContent=score;\n515\t  elLines.textContent=lines;\n516\t  elLevel.textContent=level;\n517\t}\n518\tfunction rr(ctx,x,y,w,h,r){\n519\t  if(w<0)w=0; if(h<0)h=0;\n520\t  const k=Math.min(r, w/2, h/2);\n521\t  ctx.beginPath();\n522\t  ctx.moveTo(x+k,y);\n523\t  ctx.arcTo(x+w,y,x+w,y+h,k);\n524\t  ctx.arcTo(x+w,y+h,x,y+h,k);\n525\t  ctx.arcTo(x,y+h,x,y,k);\n526\t  ctx.arcTo(x,y,x+w,y,k);\n527\t  ctx.closePath();\n528\t}\n529\tfunction paintCell(ctx,px,py,s,color,glow){\n530\t  ctx.save();\n531\t  if(glow){ ctx.shadowColor=color; ctx.shadowBlur=13; }\n532\t  ctx.fillStyle=color;\n533\t  rr(ctx, px+2, py+2, s-4, s-4, 4); ctx.fill();\n534\t  ctx.shadowBlur=0;\n535\t  ctx.globalAlpha=0.32; ctx.fillStyle='#ffffff';\n536\t  rr(ctx, px+4, py+4, s-8, (s-8)*0.4, 3); ctx.fill();\n537\t  ctx.globalAlpha=0.22; ctx.fillStyle='#000000';\n538\t  rr(ctx, px+4, py+(s-4)-(s-8)*0.26, s-8, (s-8)*0.26, 3); ctx.fill();\n539\t  ctx.restore();\n540\t}\n541\tfunction drawPieceInBox(ctx,bx,by,bw,bh,type,dim){\n542\t  const cells=PIECES[type][0];\n543\t  let a=9,b=-9,c=9,d=-9;\n544\t  for(let i=0;i<cells.length;i++){\n545\t    const cx=cells[i][0], cy=cells[i][1];\n546\t    if(cx<a)a=cx; if(cx>b)b=cx; if(cy<c)c=cy; if(cy>d)d=cy;\n547\t  }\n548\t  const w=b-a+1, h=d-c+1;\n549\t  const s=Math.min(bw/(w+1), bh/(h+1), 20);\n550\t  const ox=bx+(bw-w*s)/2-a*s, oy=by+(bh-h*s)/2-c*s;\n551\t  const col=COLORS[type];\n552\t  for(let i=0;i<cells.length;i++){\n553\t    const px=ox+cells[i][0]*s, py=oy+cells[i][1]*s;\n554\t    ctx.save();\n555\t    ctx.globalAlpha=dim?0.4:1;\n556\t    ctx.shadowColor=col; ctx.shadowBlur=8;\n557\t    ctx.fillStyle=col;\n558\t    rr(ctx, px+1.5, py+1.5, s-3, s-3, 3); ctx.fill();\n559\t    ctx.restore();\n560\t  }\n561\t}\n562\tfunction spawnParticles(x,y,type){\n563\t  const col=COLORS[type]||'#ffffff';\n564\t  for(let i=0;i<3;i++){\n565\t    if(particles.length>240) return;\n566\t    particles.push({\n567\t      x:x*CELL+CELL/2+(Math.random()-0.5)*CELL,\n568\t      y:y*CELL+CELL/2+(Math.random()-0.5)*CELL,\n569\t      vx:(Math.random()-0.5)*0.22,\n570\t      vy:(Math.random()-0.9)*0.28,\n571\t      life:1, color:col\n572\t    });\n573\t  }\n574\t}\n575\tfunction updateParticles(dtMs){\n576\t  for(let i=particles.length-1;i>=0;i--){\n577\t    const p=particles[i];\n578\t    p.x+=p.vx*dtMs; p.y+=p.vy*dtMs; p.vy+=0.0018*dtMs;\n579\t    p.life-=dtMs/700;\n580\t    if(p.life<=0) particles.splice(i,1);\n581\t  }\n582\t}\n583\tfunction render(){\n584\t  bctx.clearRect(0,0,300,600);\n585\t  bctx.fillStyle='rgba(125,90,190,0.05)';\n586\t  bctx.fillRect(0,0,300,600);\n587\t  bctx.strokeStyle='rgba(130,100,200,0.10)';\n588\t  bctx.lineWidth=1;\n589\t  for(let x=1;x<COLS;x++){ bctx.beginPath(); bctx.moveTo(x*CELL+0.5,0); bctx.lineTo(x*CELL+0.5,600); bctx.stroke(); }\n590\t  for(let y=1;y<ROWS;y++){ bctx.beginPath(); bctx.moveTo(0,y*CELL+0.5); bctx.lineTo(300,y*CELL+0.5); bctx.stroke(); }\n591\t\n592\t  if(grid){\n593\t    for(let y=0;y<ROWS;y++) for(let x=0;x<COLS;x++){\n594\t      const v=grid[y][x]; if(!v) continue;\n595\t      if(clearing && clearing.rows.indexOf(y)>=0){\n596\t        const k=Math.max(0, 1-clearing.t/CLEAR_TIME);\n597\t        bctx.save();\n598\t        bctx.globalAlpha=0.35+0.65*k;\n599\t        bctx.shadowColor='#ffffff'; bctx.shadowBlur=24*k;\n600\t        bctx.fillStyle='#ffffff';\n601\t        rr(bctx, x*CELL+2, y*CELL+2, CELL-4, CELL-4, 4); bctx.fill();\n602\t        bctx.restore();\n603\t      } else {\n604\t        paintCell(bctx, x*CELL, y*CELL, CELL, COLORS[v], false);\n605\t      }\n606\t    }\n607\t  }\n608\t"}]},"uuid":"e8056f29-78a1-4210-9618-882cb01a4033","timestamp":"2026-08-26T14:39:52.694Z","toolUseResult":{"type":"text","file":{"filePath":"/tmp/claude-1000/-home-tonda/809a6534-5852-498c-9da5-0fcab3335c9a/scratchpad/neon-drop.html","content":"  while(gravityAcc>=step){\n    gravityAcc-=step;\n    if(softStep()){ current.y++; moved=true; if(softHeld) score+=1; }\n    else { grounded=true; gravityAcc=0; break; }\n  }\n  if(moved){\n    lockTimer=0;\n    grounded=collides({type:current.type,rot:current.rot,x:current.x,y:current.y+1});\n    if(softHeld) updateHUD();\n  }\n  if(grounded){\n    lockTimer+=dtMs;\n    if(lockTimer>=LOCK_DELAY) lockPiece();\n  }\n}\nfunction endGame(){\n  over=true; running=false;\n  if(score>best){\n    best=score;\n    try{ localStorage.setItem('neondrop.best', String(best)); }catch(e){}\n    elBest.textContent=best;\n  }\n  showOverlay('GAME OVER', 'Score '+score+'  ·  Lines '+lines+'\\nLevel '+level, 'PLAY AGAIN');\n}\nfunction updateHUD(){\n  elScore.textContent=score;\n  elLines.textContent=lines;\n  elLevel.textContent=level;\n}\nfunction rr(ctx,x,y,w,h,r){\n  if(w<0)w=0; if(h<0)h=0;\n  const k=Math.min(r, w/2, h/2);\n  ctx.beginPath();\n  ctx.moveTo(x+k,y);\n  ctx.arcTo(x+w,y,x+w,y+h,k);\n  ctx.arcTo(x+w,y+h,x,y+h,k);\n  ctx.arcTo(x,y+h,x,y,k);\n  ctx.arcTo(x,y,x+w,y,k);\n  ctx.closePath();\n}\nfunction paintCell(ctx,px,py,s,color,glow){\n  ctx.save();\n  if(glow){ ctx.shadowColor=color; ctx.shadowBlur=13; }\n  ctx.fillStyle=color;\n  rr(ctx, px+2, py+2, s-4, s-4, 4); ctx.fill();\n  ctx.shadowBlur=0;\n  ctx.globalAlpha=0.32; ctx.fillStyle='#ffffff';\n  rr(ctx, px+4, py+4, s-8, (s-8)*0.4, 3); ctx.fill();\n  ctx.globalAlpha=0.22; ctx.fillStyle='#000000';\n  rr(ctx, px+4, py+(s-4)-(s-8)*0.26, s-8, (s-8)*0.26, 3); ctx.fill();\n  ctx.restore();\n}\nfunction drawPieceInBox(ctx,bx,by,bw,bh,type,dim){\n  const cells=PIECES[type][0];\n  let a=9,b=-9,c=9,d=-9;\n  for(let i=0;i<cells.length;i++){\n    const cx=cells[i][0], cy=cells[i][1];\n    if(cx<a)a=cx; if(cx>b)b=cx; if(cy<c)c=cy; if(cy>d)d=cy;\n  }\n  const w=b-a+1, h=d-c+1;\n  const s=Math.min(bw/(w+1), bh/(h+1), 20);\n  const ox=bx+(bw-w*s)/2-a*s, oy=by+(bh-h*s)/2-c*s;\n  const col=COLORS[type];\n  for(let i=0;i<cells.length;i++){\n    const px=ox+cells[i][0]*s, py=oy+cells[i][1]*s;\n    ctx.save();\n    ctx.globalAlpha=dim?0.4:1;\n    ctx.shadowColor=col; ctx.shadowBlur=8;\n    ctx.fillStyle=col;\n    rr(ctx, px+1.5, py+1.5, s-3, s-3, 3); ctx.fill();\n    ctx.restore();\n  }\n}\nfunction spawnParticles(x,y,type){\n  const col=COLORS[type]||'#ffffff';\n  for(let i=0;i<3;i++){\n    if(particles.length>240) return;\n    particles.push({\n      x:x*CELL+CELL/2+(Math.random()-0.5)*CELL,\n      y:y*CELL+CELL/2+(Math.random()-0.5)*CELL,\n      vx:(Math.random()-0.5)*0.22,\n      vy:(Math.random()-0.9)*0.28,\n      life:1, color:col\n    });\n  }\n}\nfunction updateParticles(dtMs){\n  for(let i=particles.length-1;i>=0;i--){\n    const p=particles[i];\n    p.x+=p.vx*dtMs; p.y+=p.vy*dtMs; p.vy+=0.0018*dtMs;\n    p.life-=dtMs/700;\n    if(p.life<=0) particles.splice(i,1);\n  }\n}\nfunction render(){\n  bctx.clearRect(0,0,300,600);\n  bctx.fillStyle='rgba(125,90,190,0.05)';\n  bctx.fillRect(0,0,300,600);\n  bctx.strokeStyle='rgba(130,100,200,0.10)';\n  bctx.lineWidth=1;\n  for(let x=1;x<COLS;x++){ bctx.beginPath(); bctx.moveTo(x*CELL+0.5,0); bctx.lineTo(x*CELL+0.5,600); bctx.stroke(); }\n  for(let y=1;y<ROWS;y++){ bctx.beginPath(); bctx.moveTo(0,y*CELL+0.5); bctx.lineTo(300,y*CELL+0.5); bctx.stroke(); }\n\n  if(grid){\n    for(let y=0;y<ROWS;y++) for(let x=0;x<COLS;x++){\n      const v=grid[y][x]; if(!v) continue;\n      if(clearing && clearing.rows.indexOf(y)>=0){\n        const k=Math.max(0, 1-clearing.t/CLEAR_TIME);\n        bctx.save();\n        bctx.globalAlpha=0.35+0.65*k;\n        bctx.shadowColor='#ffffff'; bctx.shadowBlur=24*k;\n        bctx.fillStyle='#ffffff';\n        rr(bctx, x*CELL+2, y*CELL+2, CELL-4, CELL-4, 4); bctx.fill();\n        bctx.restore();\n      } else {\n        paintCell(bctx, x*CELL, y*CELL, CELL, COLORS[v], false);\n      }\n    }\n  }\n","numLines":120,"startLine":489,"totalLines":766}},"sourceToolAssistantUUID":"41633944-b4a0-4350-a1ed-dbcaf80478c2","session_id":"809a6534-5852-498c-9da5-0fcab3335c9a","userType":"external","entrypoint":"cli","cwd":"/home/tonda","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","version":"2.1.246","gitBranch":"HEAD"}
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{"parentUuid":"00e4fc32-0f3a-40aa-8bd3-8b0409177101","isSidechain":false,"promptId":"e9c9cfc8-1ba5-40d1-af2f-904505a218b3","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013hWXnygGcx1r6UhfifCDVt","type":"tool_result","content":"608\t\n609\t  if(current && !clearing){\n610\t    const gy=ghostY(), cells=PIECES[current.type][current.rot], col=COLORS[current.type];\n611\t    bctx.save();\n612\t    bctx.globalAlpha=0.30; bctx.strokeStyle=col; bctx.lineWidth=2;\n613\t    for(let i=0;i<cells.length;i++){\n614\t      const yy=gy+cells[i][1];\n615\t      if(yy<0) continue;\n616\t      rr(bctx, (current.x+cells[i][0])*CELL+3, yy*CELL+3, CELL-6, CELL-6, 3); bctx.stroke();\n617\t    }\n618\t    bctx.restore();\n619\t    for(let i=0;i<cells.length;i++){\n620\t      const yy=current.y+cells[i][1];\n621\t      if(yy<0) continue;\n622\t      paintCell(bctx, (current.x+cells[i][0])*CELL, yy*CELL, CELL, col, true);\n623\t    }\n624\t  }\n625\t\n626\t  for(let i=0;i<particles.length;i++){\n627\t    const p=particles[i];\n628\t    bctx.globalAlpha=Math.max(0, p.life);\n629\t    bctx.fillStyle=p.color;\n630\t    bctx.fillRect(p.x-2, p.y-2, 4, 4);\n631\t  }\n632\t  bctx.globalAlpha=1;\n633\t\n634\t  hctx.clearRect(0,0,120,120);\n635\t  if(heldPiece) drawPieceInBox(hctx, 0, 0, 120, 120, heldPiece, !canHold);\n636\t  nctx.clearRect(0,0,120,330);\n637\t  const q=queue.slice(0,5);\n638\t  for(let i=0;i<q.length;i++) drawPieceInBox(nctx, 0, i*66, 120, 66, q[i], false);\n639\t}\n640\tfunction showOverlay(title,text,btn){\n641\t  ovTitle.textContent=title;\n642\t  if(text){ ovText.innerHTML=text.replace(/\\n/g,'<br>'); ovText.style.display=''; }\n643\t  else { ovText.textContent=''; ovText.style.display='none'; }\n644\t  startBtn.textContent=btn;\n645\t  overlay.classList.remove('hidden');\n646\t}\n647\tfunction hideOverlay(){ overlay.classList.add('hidden'); }\n648\t\n649\tfunction startGame(){\n650\t  grid=[];\n651\t  for(let y=0;y<ROWS;y++) grid.push(new Array(COLS).fill(0));\n652\t  bag=[]; queue=[]; ensureQueue();\n653\t  score=0; lines=0; level=1; combo=-1;\n654\t  heldPiece=null; canHold=true;\n655\t  particles.length=0; clearing=null;\n656\t  gravityAcc=0; lockTimer=0; lockResets=0; grounded=false;\n657\t  over=false; paused=false;\n658\t  recalcGravity(); updateHUD();\n659\t  nextPiece();\n660\t  running=true; last=0;\n661\t  hideOverlay();\n662\t}\n663\tfunction togglePause(){\n664\t  if(over||!running) return;\n665\t  paused=!paused;\n666\t  if(paused) showOverlay('PAUSED', '', 'RESUME');\n667\t  else hideOverlay();\n668\t}\n669\t\n670\tstartBtn.addEventListener('click', function(){\n671\t  if(paused) togglePause();\n672\t  else startGame();\n673\t});\n674\t\n675\tconst repeats={};\n676\tfunction rep(id,fn){ fn(); repeats[id]={fn:fn, acc:0, go:false}; }\n677\tfunction stopRep(id){ delete repeats[id]; }\n678\tfunction updateRepeats(dtMs){\n679\t  for(const id in repeats){\n680\t    const r=repeats[id];\n681\t    r.acc+=dtMs;\n682\t    if(!r.go){ if(r.acc>=150){ r.go=true; r.acc-=150; r.fn(); } }\n683\t    else { while(r.acc>=40){ r.acc-=40; r.fn(); } }\n684\t  }\n685\t}\n686\t\n687\twindow.addEventListener('keydown', function(e){\n688\t  const k=e.key.toLowerCase();\n689\t  if(k==='arrowleft'||k==='arrowright'||k==='arrowup'||k==='arrowdown'||k===' ') e.preventDefault();\n690\t  if(!running && (k===' '||k==='enter')){ if(!paused) startGame(); return; }\n691\t  if(k==='p'){ togglePause(); return; }\n692\t  if(paused||over||!running||e.repeat) return;\n693\t  switch(k){\n694\t    case 'arrowleft':  rep('left', function(){ move(-1); }); break;\n695\t    case 'arrowright': rep('right', function(){ move(1); }); break;\n696\t    case 'arrowdown':  softHeld=true; break;\n697\t    case 'arrowup': case 'x': rotate(1); break;\n698\t    case 'z': rotate(3); break;\n699\t    case ' ': hardDrop(); break;\n700\t    case 'c': case 'shift': holdPiece(); break;\n701\t  }\n702\t});\n703\twindow.addEventListener('keyup', function(e){\n704\t  const k=e.key.toLowerCase();\n705\t  if(k==='arrowleft') stopRep('left');\n706\t  else if(k==='arrowright') stopRep('right');\n707\t  else if(k==='arrowdown') softHeld=false;\n708\t});\n709\t\n710\tconst touch=document.getElementById('touch');\n711\tif(touch){\n712\t  touch.addEventListener('contextmenu', function(e){ e.preventDefault(); });\n713\t  const btns=touch.querySelectorAll('button');\n714\t  for(let i=0;i<btns.length;i++){\n715\t    (function(btn){\n716\t      const act=btn.getAttribute('data-act');\n717\t      btn.addEventListener('pointerdown', function(e){\n718\t        e.preventDefault();\n719\t        if(!running||paused||over) return;\n720\t        if(act==='left') rep('tl', function(){ move(-1); });\n721\t        else if(act==='right') rep('tr', function(){ move(1); });\n722\t        else if(act==='soft') softHeld=true;\n723\t        else if(act==='rotate') rotate(1);\n724\t        else if(act==='hard') hardDrop();\n725\t        else if(act==='hold') holdPiece();\n726\t      });\n727\t      const end=function(){\n728\t        if(act==='left') stopRep('tl');\n729\t        else if(act==='right') stopRep('tr');\n730\t        else if(act==='soft') softHeld=false;\n731\t      };\n732\t      btn.addEventListener('pointerup', end);\n733\t      btn.addEventListener('pointercancel', end);\n734\t      btn.addEventListener('pointerleave', end);\n735\t    })(btns[i]);\n736\t  }\n737\t}\n738\t\n739\tdocument.addEventListener('visibilitychange', function(){\n740\t  if(document.hidden && running && !paused && !over) togglePause();\n741\t});\n742\t\n743\tfunction frame(ts){\n744\t  requestAnimationFrame(frame);\n745\t  if(!last) last=ts;\n746\t  let dt=ts-last; last=ts;\n747\t  if(dt>100) dt=100;\n748\t  if(running && !paused){\n749\t    updateRepeats(dt);\n750\t    if(clearing){\n751\t      clearing.t+=dt;\n752\t      if(clearing.t>=CLEAR_TIME) finishClear();\n753\t    } else {\n754\t      tick(dt);\n755\t    }\n756\t    updateParticles(dt);\n757\t  }\n758\t  render();\n759\t}\n760\trequestAnimationFrame(frame);\n761\t\n762\tshowOverlay('NEON DROP', 'Fill a row to clear it.\\nDon’t let the stack reach the top.', 'PRESS START');\n763\trender();\n764\t})();\n765\t</script>\n766\t"}]},"uuid":"80f65e01-837d-410e-bc76-71ba21e71f9a","timestamp":"2026-08-26T14:39:56.675Z","toolUseResult":{"type":"text","file":{"filePath":"/tmp/claude-1000/-home-tonda/809a6534-5852-498c-9da5-0fcab3335c9a/scratchpad/neon-drop.html","content":"\n  if(current && !clearing){\n    const gy=ghostY(), cells=PIECES[current.type][current.rot], col=COLORS[current.type];\n    bctx.save();\n    bctx.globalAlpha=0.30; bctx.strokeStyle=col; bctx.lineWidth=2;\n    for(let i=0;i<cells.length;i++){\n      const yy=gy+cells[i][1];\n      if(yy<0) continue;\n      rr(bctx, (current.x+cells[i][0])*CELL+3, yy*CELL+3, CELL-6, CELL-6, 3); bctx.stroke();\n    }\n    bctx.restore();\n    for(let i=0;i<cells.length;i++){\n      const yy=current.y+cells[i][1];\n      if(yy<0) continue;\n      paintCell(bctx, (current.x+cells[i][0])*CELL, yy*CELL, CELL, col, true);\n    }\n  }\n\n  for(let i=0;i<particles.length;i++){\n    const p=particles[i];\n    bctx.globalAlpha=Math.max(0, p.life);\n    bctx.fillStyle=p.color;\n    bctx.fillRect(p.x-2, p.y-2, 4, 4);\n  }\n  bctx.globalAlpha=1;\n\n  hctx.clearRect(0,0,120,120);\n  if(heldPiece) drawPieceInBox(hctx, 0, 0, 120, 120, heldPiece, !canHold);\n  nctx.clearRect(0,0,120,330);\n  const q=queue.slice(0,5);\n  for(let i=0;i<q.length;i++) drawPieceInBox(nctx, 0, i*66, 120, 66, q[i], false);\n}\nfunction showOverlay(title,text,btn){\n  ovTitle.textContent=title;\n  if(text){ ovText.innerHTML=text.replace(/\\n/g,'<br>'); ovText.style.display=''; }\n  else { ovText.textContent=''; ovText.style.display='none'; }\n  startBtn.textContent=btn;\n  overlay.classList.remove('hidden');\n}\nfunction hideOverlay(){ overlay.classList.add('hidden'); }\n\nfunction startGame(){\n  grid=[];\n  for(let y=0;y<ROWS;y++) grid.push(new Array(COLS).fill(0));\n  bag=[]; queue=[]; ensureQueue();\n  score=0; lines=0; level=1; combo=-1;\n  heldPiece=null; canHold=true;\n  particles.length=0; clearing=null;\n  gravityAcc=0; lockTimer=0; lockResets=0; grounded=false;\n  over=false; paused=false;\n  recalcGravity(); updateHUD();\n  nextPiece();\n  running=true; last=0;\n  hideOverlay();\n}\nfunction togglePause(){\n  if(over||!running) return;\n  paused=!paused;\n  if(paused) showOverlay('PAUSED', '', 'RESUME');\n  else hideOverlay();\n}\n\nstartBtn.addEventListener('click', function(){\n  if(paused) togglePause();\n  else startGame();\n});\n\nconst repeats={};\nfunction rep(id,fn){ fn(); repeats[id]={fn:fn, acc:0, go:false}; }\nfunction stopRep(id){ delete repeats[id]; }\nfunction updateRepeats(dtMs){\n  for(const id in repeats){\n    const r=repeats[id];\n    r.acc+=dtMs;\n    if(!r.go){ if(r.acc>=150){ r.go=true; r.acc-=150; r.fn(); } }\n    else { while(r.acc>=40){ r.acc-=40; r.fn(); } }\n  }\n}\n\nwindow.addEventListener('keydown', function(e){\n  const k=e.key.toLowerCase();\n  if(k==='arrowleft'||k==='arrowright'||k==='arrowup'||k==='arrowdown'||k===' ') e.preventDefault();\n  if(!running && (k===' '||k==='enter')){ if(!paused) startGame(); return; }\n  if(k==='p'){ togglePause(); return; }\n  if(paused||over||!running||e.repeat) return;\n  switch(k){\n    case 'arrowleft':  rep('left', function(){ move(-1); }); break;\n    case 'arrowright': rep('right', function(){ move(1); }); break;\n    case 'arrowdown':  softHeld=true; break;\n    case 'arrowup': case 'x': rotate(1); break;\n    case 'z': rotate(3); break;\n    case ' ': hardDrop(); break;\n    case 'c': case 'shift': holdPiece(); break;\n  }\n});\nwindow.addEventListener('keyup', function(e){\n  const k=e.key.toLowerCase();\n  if(k==='arrowleft') stopRep('left');\n  else if(k==='arrowright') stopRep('right');\n  else if(k==='arrowdown') softHeld=false;\n});\n\nconst touch=document.getElementById('touch');\nif(touch){\n  touch.addEventListener('contextmenu', function(e){ e.preventDefault(); 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{"parentUuid":"90c2139e-96c3-490f-9c8e-a0137a59c3a8","isSidechain":false,"message":{"model":"claude-sonnet-5","id":"msg_011CeRZuob6zaDj4V2dgQ6x7","type":"message","role":"assistant","content":[{"type":"text","text":"Uloženo jako plnohodnotná samostatná stránka:\n\n```\n/home/tonda/neon-drop.html\n```\n\n## Jak ji otevřít\n\n**A) Claude Code běží přímo na tvém počítači (s grafickým prostředím)**\nOtevři v prohlížeči adresu:\n```\nfile:///home/tonda/neon-drop.html\n```\nNebo v promptu spusť (přes `!`):\n```\n! xdg-open /home/tonda/neon-drop.html\n```\n\n**B) Claude Code běží přes SSH na serveru (Proxmox – nejspíš tvůj případ)**\nSpusť v tom adresáři malý webserver – napiš do promptu:\n```\n! cd /home/tonda && python3 -m http.server 8000\n```\nPak na svém počítači otevři v prohlížeči:\n```\nhttp://ADRESA_SERVERU:8000/neon-drop.html\n```\n(`ADRESA_SERVERU` = IP nebo hostname, na který se přes SSH připojuješ; server zastavíš `Ctrl+C`)\n\n**C) Zkopírovat soubor k sobě**\n```\nscp tonda@ADRESA_SERVERU:/home/tonda/neon-drop.html .\n```\na otevřít lokálně dvojklikem.\n\n---\n\nPozn.: stránka si tahá pixel font z Google Fonts, ale když není internet, použije záložní monospace a hraje se dál úplně stejně. Dej vědět, jak dopadlo."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1596,"cache_read_input_tokens":108366,"output_tokens":879,"output_tokens_details":{"thinking_tokens":368},"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1596,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":879,"cache_read_input_tokens":108366,"cache_creation_input_tokens":1596,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1596},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CeRZunTt98Yx3wiRScgHY","type":"assistant","uuid":"d8322c88-478a-41a5-98f1-b89fed56f5f5","timestamp":"2026-08-26T15:07:05.379Z","effort":"high","session_id":"809a6534-5852-498c-9da5-0fcab3335c9a","userType":"external","entrypoint":"cli","cwd":"/home/tonda","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","version":"2.1.246","gitBranch":"HEAD"}
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{"type":"queue-operation","operation":"enqueue","timestamp":"2026-08-26T15:10:21.759Z","sessionId":"809a6534-5852-498c-9da5-0fcab3335c9a","content":"<task-notification>\n<task-type>artifact-auto-react</task-type>\n<summary>1 artifact auto-reply subscription paused until your next message (comments sent to Claude meanwhile are answered then)</summary>\nThe user's interrupt paused it and the watch is kept; this receipt reaches you with a later turn: if that turn is the user's own typed message it has already resumed it (comments sent to Claude meanwhile are being answered now), otherwise the user's next message resumes it (so does a publish of this artifact the user asks for, or resume_replies if the user asks; publishing without being asked, while handling a notification or a wake-up, leaves it paused), and comments sent to Claude in the meantime are answered then; the user can stop it for good with ✕ on the watch in the tasks list or the kill-all-agents gesture. Do not republish or resume just to re-enable auto-replies unless the user asks.\n</task-notification>"}
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