claude · haiku · low · frontend/issue-board-filters · attempt 1

v2026.09-smokefrontend--issue-board-filtersclaude--haiku--low__1

Sep 6, 2026, 09:31 AM → Sep 6, 2026, 09:35 AM on unknown-host · suite v2026.09

Command

claude -p # Add filters to the issue board

You are working inside an existing Next.js app that renders a list of issues on the home
page (`/`), reading from static JSON data. There is already one working filter, for issue
status. Read `README.md` in this fixture before making changes; it documents the existing
`components/` and `lib/` structure and the `data-testid` convention used by this app's
tests.

## Requirements

Add the following to the existing issue board, matching the way the status filter is
already built (same folder, same state and query-param approach, same component style):

- A label filter that lets the user select multiple labels at once. An issue matches when it
has at least one of the selected labels.
- An assignee filter that lets the user pick a single assignee (or "unassigned").
- A free-text search box that filters issues by matching the search text against the issue
title, case-insensitively.
- All filter state (status, labels, assignees, search text) must be reflected in the URL
query string, so that reloading the page or sharing the URL preserves the current filters.
- When the combination of active filters matches zero issues, show a clear empty state
instead of an empty list.
- Every new interactive control must be usable with the keyboard alone (tab to reach it,
and the expected key operates it), and must have an accessible name.
- Use the existing `data-testid` convention documented in the README for every new
interactive element, so they are consistent with the existing status filter's test ids.

## Constraints

- Follow the existing patterns in `components/` and `lib/` rather than introducing a new
state-management approach, a new folder layout, or a new UI library.
- Do not change the on-disk shape of the issue data or remove the existing status filter.
- Keep `bun run build`, `bun run start`, and `bun run typecheck` working exactly as
documented in the fixture's README.

Work only within this fixture directory.
--output-format stream-json --verbose --model haiku --effort low --max-turns 70 --max-budget-usd 12 --dangerously-skip-permissions --no-session-persistence --setting-sources project,local --strict-mcp-config --mcp-config {"mcpServers":{}}

claude 2.1.263 (Claude Code) · permission mode dangerously-skip-permissions · max 70 turns · $12 budget · 35m timebox

Tokens in

302

Tokens out

20.1K

Cache read

1.5M

Cache write

49.9K

Turns

Tool calls

Wall time

4m 02s

API-equiv. cost

$0.31

CLI-reported cost (cross-check): $0.35

Gates

passinstall0s
bun install v1.4.2 (744846f84) Checked 53 installs across 130 packages (no changes) [10.00ms]
passbuild2s
▲ Next.js 16.3.4 (Turbopack) ✓ Running next.config.ts took 16ms Creating an optimized production build ... ✓ Compiled successfully in 235ms Running TypeScript ... Finished TypeScript in 188ms ... Collecting page data using 4 workers ... Generating static pages using 4 workers (0/3) ... ✓ Generating static pages using 4 workers (3/3) in 207ms Finalizing page optimization ... Route (app) ┌ ƒ / └ ○ /_not-found ○ (Static) prerendered as static content ƒ (Dynamic) server-rendered on demand $ next build ⚠ Warning: Next.js ignored package.json in /Users/decod3rslabs/www/shipshitdev/public/benchmark because it is outside the current Git repository (/Users/decod3rslabs/www/shipshitdev/public/benchmark/.runs/v2026.09-smoke__frontend--issue-board-filters__claude--haiku--low__1/workspace). To use this directory, set `turbopack.root` in your Next.js config.
passtypecheck0s
$ tsc --noEmit
passaxe-home1s
no violations at or above serious

Screenshots

Judgments

codex · gpt-5.6-sol · label A · 62.5
code-quality: 3/4ux-polish: 2/4
The filters follow the existing component and URL-sync pattern, compose correctly in the page, and use small pure lib functions. However, URL-update logic is duplicated across components, parsing remains inline, and unrelated generated/config changes reduce conformance. Native controls are keyboard-accessible, responsive, visibly reflect selections, persist in the URL, and filters combine correctly, but search rewrites the URL on every keystroke, label selection is a basic checkbox row, and there is no discoverable clear-all action or added helpful empty-state guidance.

Diff

diff --git a/app/page.tsx b/app/page.tsx
index 094cca2..1c1b165 100644
--- a/app/page.tsx
+++ b/app/page.tsx
@@ -1,6 +1,16 @@
 import { IssueList } from "@/components/IssueList";
 import { StatusFilter } from "@/components/StatusFilter";
-import { filterByStatus, getIssues, type IssueStatus } from "@/lib/issues";
+import { LabelsFilter } from "@/components/LabelsFilter";
+import { AssigneeFilter } from "@/components/AssigneeFilter";
+import { SearchFilter } from "@/components/SearchFilter";
+import {
+  filterByStatus,
+  filterByLabels,
+  filterByAssignee,
+  filterBySearch,
+  getIssues,
+  type IssueStatus,
+} from "@/lib/issues";
 
 const VALID_STATUSES = new Set<IssueStatus>(["open", "in-progress", "done"]);
 
@@ -11,6 +21,27 @@ function parseStatus(value: string | string[] | undefined): IssueStatus | null {
   return VALID_STATUSES.has(value as IssueStatus) ? (value as IssueStatus) : null;
 }
 
+function parseLabels(value: string | string[] | undefined): string[] {
+  if (typeof value !== "string" || !value.trim()) {
+    return [];
+  }
+  return value.split(",").filter((label) => label.trim());
+}
+
+function parseAssignee(value: string | string[] | undefined): string | null {
+  if (typeof value !== "string" || !value.trim()) {
+    return null;
+  }
+  return value;
+}
+
+function parseSearch(value: string | string[] | undefined): string {
+  if (typeof value !== "string") {
+    return "";
+  }
+  return value;
+}
+
 type SearchParams = Record<string, string | string[] | undefined>;
 
 export default async function Home({
@@ -20,14 +51,24 @@ export default async function Home({
 }) {
   const params = await searchParams;
   const status = parseStatus(params.status);
+  const labels = parseLabels(params.labels);
+  const assignee = parseAssignee(params.assignee);
+  const search = parseSearch(params.q);
 
-  const issues = filterByStatus(getIssues(), status);
+  let issues = getIssues();
+  issues = filterByStatus(issues, status);
+  issues = filterByLabels(issues, labels);
+  issues = filterByAssignee(issues, assignee);
+  issues = filterBySearch(issues, search);
 
   return (
     <main className="mx-auto flex max-w-2xl flex-col gap-6 p-6">
       <h1 className="text-xl font-semibold">Issue board</h1>
       <div className="flex flex-wrap gap-4">
         <StatusFilter />
+        <LabelsFilter />
+        <AssigneeFilter />
+        <SearchFilter />
       </div>
       <IssueList issues={issues} />
     </main>
diff --git a/components/AssigneeFilter.tsx b/components/AssigneeFilter.tsx
new file mode 100644
index 0000000..af77d7b
--- /dev/null
+++ b/components/AssigneeFilter.tsx
@@ -0,0 +1,48 @@
+"use client";
+
+import { usePathname, useRouter, useSearchParams } from "next/navigation";
+import type { ChangeEvent } from "react";
+import { getAllAssignees } from "@/lib/issues";
+
+export function AssigneeFilter() {
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+  const currentAssignee = searchParams.get("assignee") ?? "";
+
+  function handleChange(event: ChangeEvent<HTMLSelectElement>) {
+    const value = event.target.value;
+    const params = new URLSearchParams(searchParams.toString());
+    if (value) {
+      params.set("assignee", value);
+    } else {
+      params.delete("assignee");
+    }
+    router.replace(`${pathname}?${params.toString()}`, { scroll: false });
+  }
+
+  const assignees = getAllAssignees();
+
+  return (
+    <div className="flex flex-col gap-1">
+      <label htmlFor="filter-assignee-select" className="text-sm font-medium">
+        Assignee
+      </label>
+      <select
+        id="filter-assignee-select"
+        data-testid="filter-assignee"
+        value={currentAssignee}
+        onChange={handleChange}
+        className="rounded border border-gray-300 bg-white px-2 py-1 text-sm dark:border-gray-600 dark:bg-gray-800"
+      >
+        <option value="">All assignees</option>
+        <option value="unassigned">Unassigned</option>
+        {assignees.map((assignee) => (
+          <option key={assignee} value={assignee}>
+            {assignee}
+          </option>
+        ))}
+      </select>
+    </div>
+  );
+}
diff --git a/components/LabelsFilter.tsx b/components/LabelsFilter.tsx
new file mode 100644
index 0000000..e5e1bf9
--- /dev/null
+++ b/components/LabelsFilter.tsx
@@ -0,0 +1,58 @@
+"use client";
+
+import { usePathname, useRouter, useSearchParams } from "next/navigation";
+import type { ChangeEvent } from "react";
+import { getAllLabels } from "@/lib/issues";
+
+export function LabelsFilter() {
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+  const selectedLabelsString = searchParams.get("labels") ?? "";
+  const selectedLabels = selectedLabelsString ? selectedLabelsString.split(",") : [];
+  const selectedLabelSet = new Set(selectedLabels);
+  const allLabels = getAllLabels();
+
+  function handleChange(event: ChangeEvent<HTMLInputElement>) {
+    const label = event.target.value;
+    const params = new URLSearchParams(searchParams.toString());
+    const labels = new Set(selectedLabels);
+
+    if (event.target.checked) {
+      labels.add(label);
+    } else {
+      labels.delete(label);
+    }
+
+    if (labels.size > 0) {
+      params.set("labels", Array.from(labels).sort().join(","));
+    } else {
+      params.delete("labels");
+    }
+    router.replace(`${pathname}?${params.toString()}`, { scroll: false });
+  }
+
+  return (
+    <fieldset data-testid="filter-labels" className="flex flex-col gap-2">
+      <legend className="text-sm font-medium">Labels</legend>
+      <div className="flex flex-wrap gap-2">
+        {allLabels.map((label) => (
+          <div key={label} className="flex items-center gap-2">
+            <input
+              id={`filter-label-option-${label}`}
+              type="checkbox"
+              data-testid={`filter-label-option-${label}`}
+              value={label}
+              checked={selectedLabelSet.has(label)}
+              onChange={handleChange}
+              className="cursor-pointer"
+            />
+            <label htmlFor={`filter-label-option-${label}`} className="text-sm cursor-pointer">
+              {label}
+            </label>
+          </div>
+        ))}
+      </div>
+    </fieldset>
+  );
+}
diff --git a/components/SearchFilter.tsx b/components/SearchFilter.tsx
new file mode 100644
index 0000000..c6b55de
--- /dev/null
+++ b/components/SearchFilter.tsx
@@ -0,0 +1,39 @@
+"use client";
+
+import { usePathname, useRouter, useSearchParams } from "next/navigation";
+import type { ChangeEvent } from "react";
+
+export function SearchFilter() {
+  const router = useRouter();
+  const pathname = usePathname();
+  const searchParams = useSearchParams();
+  const currentQuery = searchParams.get("q") ?? "";
+
+  function handleChange(event: ChangeEvent<HTMLInputElement>) {
+    const value = event.target.value;
+    const params = new URLSearchParams(searchParams.toString());
+    if (value.trim()) {
+      params.set("q", value);
+    } else {
+      params.delete("q");
+    }
+    router.replace(`${pathname}?${params.toString()}`, { scroll: false });
+  }
+
+  return (
+    <div className="flex flex-col gap-1">
+      <label htmlFor="filter-search" className="text-sm font-medium">
+        Search
+      </label>
+      <input
+        id="filter-search"
+        type="text"
+        data-testid="filter-search"
+        placeholder="Search by title..."
+        value={currentQuery}
+        onChange={handleChange}
+        className="rounded border border-gray-300 bg-white px-2 py-1 text-sm dark:border-gray-600 dark:bg-gray-800"
+      />
+    </div>
+  );
+}
diff --git a/lib/issues.ts b/lib/issues.ts
index 9f0851a..efb0a26 100644
--- a/lib/issues.ts
+++ b/lib/issues.ts
@@ -49,20 +49,28 @@ export function filterByStatus(issues: Issue[], status: IssueStatus | null): Iss
   return issues.filter((issue) => issue.status === status);
 }
 
-// Extension points for filters that do not exist yet (see the fixture README for the
-// full data-testid and URL query-param convention each one should follow):
-//
-// filterByLabels(issues, labels: string[]): Issue[]
-//   An issue matches when `issue.labels` shares at least one entry with `labels`.
-//   An empty `labels` array means "no label filter applied" (return `issues` unchanged).
-//
-// filterByAssignee(issues, assignee: string | null): Issue[]
-//   `assignee === "unassigned"` matches issues where `issue.assignee === null`.
-//   `assignee === null` means "no assignee filter applied" (return `issues` unchanged).
-//
-// filterBySearch(issues, query: string): Issue[]
-//   Case-insensitive substring match of `query` against `issue.title`.
-//   An empty/blank `query` means "no search filter applied" (return `issues` unchanged).
-//
-// Each should be a small, pure function here in lib/issues.ts, mirroring filterByStatus,
-// and composed together by app/page.tsx the same way it already composes filterByStatus.
+export function filterByLabels(issues: Issue[], labels: string[]): Issue[] {
+  if (labels.length === 0) {
+    return issues;
+  }
+  const labelSet = new Set(labels);
+  return issues.filter((issue) => issue.labels.some((label) => labelSet.has(label)));
+}
+
+export function filterByAssignee(issues: Issue[], assignee: string | null): Issue[] {
+  if (assignee === null) {
+    return issues;
+  }
+  if (assignee === "unassigned") {
+    return issues.filter((issue) => issue.assignee === null);
+  }
+  return issues.filter((issue) => issue.assignee === assignee);
+}
+
+export function filterBySearch(issues: Issue[], query: string): Issue[] {
+  if (!query.trim()) {
+    return issues;
+  }
+  const lowerQuery = query.toLowerCase();
+  return issues.filter((issue) => issue.title.toLowerCase().includes(lowerQuery));
+}
diff --git a/next-env.d.ts b/next-env.d.ts
new file mode 100644
index 0000000..ce4e94a
--- /dev/null
+++ b/next-env.d.ts
@@ -0,0 +1,7 @@
+/// <reference types="next" />
+/// <reference types="next/image-types/global" />
+import "./.next/types/routes.d.ts";
+import "./.next/types/root-params.d.ts";
+
+// NOTE: This file should not be edited
+// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
diff --git a/tsconfig.json b/tsconfig.json
index 4a468da..3f0b70d 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -1,7 +1,11 @@
 {
   "compilerOptions": {
     "target": "ES2017",
-    "lib": ["dom", "dom.iterable", "esnext"],
+    "lib": [
+      "dom",
+      "dom.iterable",
+      "esnext"
+    ],
     "allowJs": false,
     "skipLibCheck": true,
     "strict": true,
@@ -11,13 +15,27 @@
     "moduleResolution": "bundler",
     "resolveJsonModule": true,
     "isolatedModules": true,
-    "jsx": "preserve",
+    "jsx": "react-jsx",
     "incremental": true,
-    "plugins": [{ "name": "next" }],
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ],
     "paths": {
-      "@/*": ["./*"]
+      "@/*": [
+        "./*"
+      ]
     }
   },
-  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
-  "exclude": ["node_modules"]
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts"
+  ],
+  "exclude": [
+    "node_modules"
+  ]
 }

Transcript

{
  "type": "system",
  "subtype": "init",
  "cwd": "/Users/decod3rslabs/www/shipshitdev/public/benchmark/.runs/v2026.09-smoke__frontend--issue-board-filters__claude--haiku--low__1/workspace",
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb",
  "tools": [
    "Task",
    "Bash",
    "CronCreate",
    "CronDelete",
    "CronList",
    "DesignSync",
    "Edit",
    "EnterWorktree",
    "ExitWorktree",
    "ListAgents",
    "Monitor",
    "NotebookEdit",
    "PushNotification",
    "Read",
    "RemoteTrigger",
    "ReportFindings",
    "ScheduleWakeup",
    "SendMessage",
    "Skill",
    "TaskCreate",
    "TaskGet",
    "TaskList",
    "TaskOutput",
    "TaskStop",
    "TaskUpdate",
    "ToolSearch",
    "WebFetch",
    "WebSearch",
    "Workflow",
    "Write"
  ],
  "mcp_servers": [],
  "model": "claude-haiku-4-5-20251001",
  "permissionMode": "bypassPermissions",
  "slash_commands": [
    "deep-research",
    "design-sync",
    "dataviz",
    "update-config",
    "verify",
    "debug",
    "code-review",
    "simplify",
    "batch",
    "fewer-permission-prompts",
    "doctor",
    "loop",
    "schedule",
    "claude-api",
    "workflow-authoring",
    "run",
    "run-skill-generator",
    "advisor",
    "agents",
    "auto-mode-setup",
    "autocompact",
    "clear",
    "color",
    "compact",
    "config",
    "context",
    "effort",
    "fast",
    "heapdump",
    "init",
    "mcp",
    "import",
    "model",
    "__remote-workflow",
    "workflow-launch-exec",
    "reload-plugins",
    "reload-skills",
    "rename",
    "ultrareview",
    "security-review",
    "usage-credits",
    "extra-usage",
    "usage",
    "insights",
    "recap",
    "skill-doctor",
    "goal",
    "design",
    "design-consent",
    "design-revoke",
    "list-agents",
    "team-onboarding"
  ],
  "terminal_slash_commands": [
    "doctor",
    "color",
    "reload-plugins"
  ],
  "apiKeySource": "none",
  "claude_code_version": "2.1.263",
  "output_style": "default",
  "agents": [
    "claude",
    "Explore",
    "general-purpose",
    "Plan",
    "statusline-setup"
  ],
  "skills": [
    "deep-research",
    "design-sync",
    "dataviz",
    "update-config",
    "verify",
    "debug",
    "code-review",
    "simplify",
    "batch",
    "fewer-permission-prompts",
    "doctor",
    "loop",
    "schedule",
    "claude-api",
    "workflow-authoring",
    "run",
    "run-skill-generator"
  ],
  "plugins": [],
  "capabilities": [
    "interrupt_receipt_v1",
    "interrupt_cancel_queued_v1",
    "msg_lifecycle_v1"
  ],
  "analytics_disabled": false,
  "product_feedback_disabled": false,
  "uuid": "7972c290-5c79-402b-b20b-b354d2dfdb26",
  "memory_paths": {
    "auto": "/Users/decod3rslabs/.claude-genfeedai/projects/-Users-decod3rslabs-www-shipshitdev-public-benchmark--runs-v2026-09-smoke--frontend--issue-board-filters--claude--haiku--low--1-workspace/memory/"
  },
  "messaging_socket_path": "/tmp/cc-socks/45719.sock",
  "fast_mode_state": "off",
  "fast_mode_disabled_reason": "sdk_opt_in_required"
}

{
  "type": "rate_limit_event",
  "rate_limit_info": {
    "status": "allowed",
    "resetsAt": 1788696600,
    "rateLimitType": "five_hour",
    "overageStatus": "rejected",
    "overageDisabledReason": "org_level_disabled",
    "isUsingOverage": false,
    "unifiedWindows": {
      "five_hour": {
        "utilization": 0.52,
        "resetsAt": 1788696600
      },
      "seven_day": {
        "utilization": 0.19,
        "resetsAt": 1789156800
      }
    }
  },
  "uuid": "7b9d5874-d2b1-4101-9242-c1fd2c86ad25",
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb"
}

{
  "type": "system",
  "subtype": "thinking_tokens",
  "estimated_tokens": 50,
  "estimated_tokens_delta": 50,
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb",
  "uuid": "3bb2759a-df65-407a-b6ad-649bc009884c"
}

{
  "type": "system",
  "subtype": "thinking_tokens",
  "estimated_tokens": 150,
  "estimated_tokens_delta": 100,
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb",
  "uuid": "0857cf88-d5b0-4fc2-9619-702b28a64ca8"
}

{
  "type": "system",
  "subtype": "thinking_tokens",
  "estimated_tokens": 288,
  "estimated_tokens_delta": 138,
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb",
  "uuid": "de0a5317-db11-481d-9881-05e9a289df65"
}

{
  "type": "assistant",
  "message": {
    "model": "claude-haiku-4-5-20251001",
    "id": "msg_011CemxEAbncVQxrCtR115ZR",
    "type": "message",
    "role": "assistant",
    "content": [
      {
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Nothing else changes.\n28\t\n29\t## URL query-param convention\n30\t\n31\tEvery filter's state lives in the URL so a reload or a shared link preserves it.\n32\t\n33\t| Filter | Query key | Value format | Status |\n34\t|---|---|---|---|\n35\t| Status | `status` | one of `open`, `in-progress`, `done`; key absent = all statuses | implemented |\n36\t| Labels | `labels` | comma-separated label names, e.g. `labels=bug,docs`; key absent = no label filter | not yet implemented |\n37\t| Assignee | `assignee` | an exact assignee name, or the literal string `unassigned`; key absent = no assignee filter | not yet implemented |\n38\t| Search | `q` | free text, matched case-insensitively as a substring of the issue title; key absent or empty = no search filter | not yet implemented |\n39\t\n40\tThe existing `StatusFilter` component (`components/StatusFilter.tsx`) shows the pattern:\n41\tread the current value with `searchParams.get(\"status\")`, and on change, clone the current\n42\tparams with `new URLSearchParams(searchParams.toString())`, `set()` or `delete()` only its\n43\town key, then `router.replace(`${pathname}?${params.toString()}`, { scroll: false })`. A new\n44\tfilter component follows the same shape for its own key, leaving every other key untouched.\n45\t\n46\t## `data-testid` convention\n47\t\n48\t| Element | `data-testid` | Notes | Status |\n49\t|---|---|---|---|\n50\t| Issue list container | `issue-list` | A `<ul>` (or similar) wrapping all visible issue rows. Rendered only when at least one issue matches; absent when the result is empty. | implemented |\n51\t| Each issue row | `` issue-item-<id> `` | `<id>` is the issue's `id` field verbatim, e.g. `issue-item-ISSUE-101`. | implemented |\n52\t| Status filter control | `filter-status` | The `<select>` for status. | implemented |\n53\t| Labels filter container | `filter-labels` | The element wrapping all label checkboxes (e.g. a `<fieldset>`). | not yet implemented |\n54\t| Each label checkbox | `` filter-label-option-<label> `` | `<label>` is the label string verbatim, e.g. `filter-label-option-bug`. One `<input type=\"checkbox\">` per label returned by `getAllLabels()`, each with an accessible name (e.g. wrapped in a `<label>` element). | not yet implemented |\n55\t| Assignee filter control | `filter-assignee` | A `<select>` with an `unassigned` option plus one option per name from `getAllAssignees()`. | not yet implemented |\n56\t| Search filter control | `filter-search` | A text `<input>` with an accessible name (e.g. `aria-label`), filtering by title substring. | not yet implemented |\n57\t| Empty state | `empty-state` | Rendered instead of `issue-list` when the active filters match zero issues. | not yet implemented (the code path already exists in `IssueList`; wiring more filters into `app/page.tsx` is what triggers it) |\n58\t\n59\t`IssueList` (`components/IssueList.tsx`) already renders `empty-state` in place of\n60\t`issue-list` whenever it receives zero issues. 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          "-//",
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          "-//   `assignee === null` means \"no assignee filter applied\" (return `issues` unchanged).",
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          "-//   An empty/blank `query` means \"no search filter applied\" (return `issues` unchanged).",
          "-//",
          "-// Each should be a small, pure function here in lib/issues.ts, mirroring filterByStatus,",
          "-// and composed together by app/page.tsx the same way it already composes filterByStatus.",
          "+export function filterByLabels(issues: Issue[], labels: string[]): Issue[] {",
          "+  if (labels.length === 0) {",
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          "+  }",
          "+  const labelSet = new Set(labels);",
          "+  return issues.filter((issue) => issue.labels.some((label) => labelSet.has(label)));",
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          "+",
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          "+    return issues;",
          "+  }",
          "+  if (assignee === \"unassigned\") {",
          "+    return issues.filter((issue) => issue.assignee === null);",
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    "newString": "import { IssueList } from \"@/components/IssueList\";\nimport { StatusFilter } from \"@/components/StatusFilter\";\nimport { LabelsFilter } from \"@/components/LabelsFilter\";\nimport { AssigneeFilter } from \"@/components/AssigneeFilter\";\nimport { SearchFilter } from \"@/components/SearchFilter\";\nimport {\n  filterByStatus,\n  filterByLabels,\n  filterByAssignee,\n  filterBySearch,\n  getIssues,\n  type IssueStatus,\n} from \"@/lib/issues\";\n\nconst VALID_STATUSES = new Set<IssueStatus>([\"open\", \"in-progress\", \"done\"]);\n\nfunction parseStatus(value: string | string[] | undefined): IssueStatus | null {\n  if (typeof value !== \"string\") {\n    return null;\n  }\n  return VALID_STATUSES.has(value as IssueStatus) ? (value as IssueStatus) : null;\n}\n\nfunction parseLabels(value: string | string[] | undefined): string[] {\n  if (typeof value !== \"string\" || !value.trim()) {\n    return [];\n  }\n  return value.split(\",\").filter((label) => label.trim());\n}\n\nfunction parseAssignee(value: string | string[] | undefined): string | null {\n  if (typeof value !== \"string\" || !value.trim()) {\n    return null;\n  }\n  return value;\n}\n\nfunction parseSearch(value: string | string[] | undefined): string {\n  if (typeof value !== \"string\") {\n    return \"\";\n  }\n  return value;\n}\n\ntype SearchParams = Record<string, string | string[] | undefined>;\n\nexport default async function Home({\n  searchParams,\n}: {\n  searchParams: Promise<SearchParams>;\n}) {\n  const params = await searchParams;\n  const status = parseStatus(params.status);\n  const labels = parseLabels(params.labels);\n  const assignee = parseAssignee(params.assignee);\n  const search = parseSearch(params.q);\n\n  let issues = getIssues();\n  issues = filterByStatus(issues, status);\n  issues = filterByLabels(issues, labels);\n  issues = filterByAssignee(issues, assignee);\n  issues = filterBySearch(issues, search);\n\n  return (\n    <main className=\"mx-auto flex max-w-2xl flex-col gap-6 p-6\">\n      <h1 className=\"text-xl font-semibold\">Issue board</h1>\n      <div className=\"flex flex-wrap gap-4\">\n        <StatusFilter />\n        <LabelsFilter />\n        <AssigneeFilter />\n        <SearchFilter />\n      </div>\n      <IssueList issues={issues} />\n    </main>\n  );\n}",
    "originalFile": "import { IssueList } from \"@/components/IssueList\";\nimport { StatusFilter } from \"@/components/StatusFilter\";\nimport { filterByStatus, getIssues, type IssueStatus } from \"@/lib/issues\";\n\nconst VALID_STATUSES = new Set<IssueStatus>([\"open\", \"in-progress\", \"done\"]);\n\nfunction parseStatus(value: string | string[] | undefined): IssueStatus | null {\n  if (typeof value !== \"string\") {\n    return null;\n  }\n  return VALID_STATUSES.has(value as IssueStatus) ? (value as IssueStatus) : null;\n}\n\ntype SearchParams = Record<string, string | string[] | undefined>;\n\nexport default async function Home({\n  searchParams,\n}: {\n  searchParams: Promise<SearchParams>;\n}) {\n  const params = await searchParams;\n  const status = parseStatus(params.status);\n\n  const issues = filterByStatus(getIssues(), status);\n\n  return (\n    <main className=\"mx-auto flex max-w-2xl flex-col gap-6 p-6\">\n      <h1 className=\"text-xl font-semibold\">Issue board</h1>\n      <div className=\"flex flex-wrap gap-4\">\n        <StatusFilter />\n      </div>\n      <IssueList issues={issues} />\n    </main>\n  );\n}\n",
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          " import { IssueList } from \"@/components/IssueList\";",
          " import { StatusFilter } from \"@/components/StatusFilter\";",
          "-import { filterByStatus, getIssues, type IssueStatus } from \"@/lib/issues\";",
          "+import { LabelsFilter } from \"@/components/LabelsFilter\";",
          "+import { AssigneeFilter } from \"@/components/AssigneeFilter\";",
          "+import { SearchFilter } from \"@/components/SearchFilter\";",
          "+import {",
          "+  filterByStatus,",
          "+  filterByLabels,",
          "+  filterByAssignee,",
          "+  filterBySearch,",
          "+  getIssues,",
          "+  type IssueStatus,",
          "+} from \"@/lib/issues\";",
          " ",
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          " "
        ]
      },
      {
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        "newStart": 21,
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          "   return VALID_STATUSES.has(value as IssueStatus) ? (value as IssueStatus) : null;",
          " }",
          " ",
          "+function parseLabels(value: string | string[] | undefined): string[] {",
          "+  if (typeof value !== \"string\" || !value.trim()) {",
          "+    return [];",
          "+  }",
          "+  return value.split(\",\").filter((label) => label.trim());",
          "+}",
          "+",
          "+function parseAssignee(value: string | string[] | undefined): string | null {",
          "+  if (typeof value !== \"string\" || !value.trim()) {",
          "+    return null;",
          "+  }",
          "+  return value;",
          "+}",
          "+",
          "+function parseSearch(value: string | string[] | undefined): string {",
          "+  if (typeof value !== \"string\") {",
          "+    return \"\";",
          "+  }",
          "+  return value;",
          "+}",
          "+",
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          " ",
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          "   const status = parseStatus(params.status);",
          "+  const labels = parseLabels(params.labels);",
          "+  const assignee = parseAssignee(params.assignee);",
          "+  const search = parseSearch(params.q);",
          " ",
          "-  const issues = filterByStatus(getIssues(), status);",
          "+  let issues = getIssues();",
          "+  issues = filterByStatus(issues, status);",
          "+  issues = filterByLabels(issues, labels);",
          "+  issues = filterByAssignee(issues, assignee);",
          "+  issues = filterBySearch(issues, search);",
          " ",
          "   return (",
          "     <main className=\"mx-auto flex max-w-2xl flex-col gap-6 p-6\">",
          "       <h1 className=\"text-xl font-semibold\">Issue board</h1>",
          "       <div className=\"flex flex-wrap gap-4\">",
          "         <StatusFilter />",
          "+        <LabelsFilter />",
          "+        <AssigneeFilter />",
          "+        <SearchFilter />",
          "       </div>",
          "       <IssueList issues={issues} />",
          "     </main>"
        ]
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'JSX.IntrinsicElements' exists.\napp/page.tsx(66,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(66,56): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(67,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(72,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(74,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/AssigneeFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/AssigneeFilter.tsx(27,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(28,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(30,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(31,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(38,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(38,39): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(39,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(39,46): error TS7026: JSX element implicitly has type 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exists.\ncomponents/LabelsFilter.tsx(41,13): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(50,13): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(52,13): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(53,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(55,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(56,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/SearchFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/SearchFilter.tsx(24,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(25,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(27,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(28,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(37,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/StatusFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/StatusFilter.tsx(31,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(32,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(34,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(35,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(42,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(42,38): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(44,11): error TS7026: JSX element 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'JSX.IntrinsicElements' exists.\napp/page.tsx(66,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(66,56): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(67,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(72,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\napp/page.tsx(74,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/AssigneeFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/AssigneeFilter.tsx(27,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(28,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(30,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(31,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(38,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(38,39): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(39,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/AssigneeFilter.tsx(39,46): error TS7026: JSX element implicitly has type 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because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(22,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(27,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(27,51): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(28,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(31,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(32,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/IssueList.tsx(34,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/LabelsFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/LabelsFilter.tsx(36,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(37,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(37,53): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(38,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(40,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(41,13): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(50,13): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(52,13): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(53,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(55,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/LabelsFilter.tsx(56,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/SearchFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/SearchFilter.tsx(24,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(25,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(27,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(28,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/SearchFilter.tsx(37,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(3,57): error TS2307: Cannot find module 'next/navigation' or its corresponding type declarations.\ncomponents/StatusFilter.tsx(4,34): error TS2307: Cannot find module 'react' or its corresponding type declarations.\ncomponents/StatusFilter.tsx(31,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(32,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(34,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(35,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(42,9): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(42,38): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(44,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(46,11): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(48,7): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\ncomponents/StatusFilter.tsx(49,5): error TS7026: JSX element implicitly has type 'any' because no interface 'JSX.IntrinsicElements' exists.\nnext.config.ts(1,33): error TS2307: Cannot find module 'next' or its corresponding type declarations.\nerror: script \"typecheck\" exited with code 1"
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        "content": "<persisted-output>\nOutput too large (30.3KB). Full output saved to: /Users/decod3rslabs/.claude-genfeedai/projects/-Users-decod3rslabs-www-shipshitdev-public-benchmark--runs-v2026-09-smoke--frontend--issue-board-filters--claude--haiku--low--1-workspace/27dbe829-a8fd-4b80-8b1f-39f22cf5fddb/tool-results/bn80rsh29.txt\n\nPreview (first 2KB):\n$ next start -p ${PORT:-4174}\n▲ Next.js 16.3.4\n- Local:         http://localhost:4174\n- Network:       http://192.168.1.65:4174\n✓ Ready in 79ms\n⚠ Warning: Next.js ignored package.json in /Users/decod3rslabs/www/shipshitdev/public/benchmark because it is outside the current Git repository (/Users/decod3rslabs/www/shipshitdev/public/benchmark/.runs/v2026.09-smoke__frontend--issue-board-filters__claude--haiku--low__1/workspace).\n To use this directory, set `outputFileTracingRoot` in your Next.js config.\n\n✓ Running next.config.ts took 21ms\n<!DOCTYPE html><html lang=\"en\"><head><meta charSet=\"utf-8\"/><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"/><link rel=\"stylesheet\" href=\"/_next/static/chunks/3-wicttofky64.css\" data-precedence=\"next\"/><link rel=\"preload\" as=\"script\" fetchPriority=\"low\" href=\"/_next/static/chunks/310vm2bl3xxpt.js\"/><script src=\"/_next/static/chunks/1f0m_nyksetzr.js\" async=\"\"></script><script src=\"/_next/static/chunks/1mh6a-0e61pyc.js\" async=\"\"></script><script src=\"/_next/static/chunks/1vd1qadx52uao.js\" async=\"\"></script><script src=\"/_next/static/chunks/turbopack-3lkycj_hiom84.js\" async=\"\"></script><script src=\"/_next/static/chunks/3fntmmi971322.js\" async=\"\"></script><script src=\"/_next/static/chunks/0a9b7f7cxuypr.js\" async=\"\"></script><title>Issue board</title><meta name=\"description\" content=\"Browse and filter a list of software issues.\"/><script src=\"/_next/static/chunks/0cz1d0mv5g_q7.js\" noModule=\"\"></script></head><body class=\"antialiased\"><div hidden=\"\"><!--$--><!--/$--></div><main class=\"mx-auto flex max-w-2xl flex-col gap-6 p-6\"><h1 class=\"text-xl font-semibold\">Issue board</h1><div class=\"flex flex-wrap gap-4\"><div class=\"flex flex-col gap-1\"><label for=\"filter-status-select\" class=\"text-sm font-medium\">Status</label><select id=\"filter-status-select\" data-testid=\"filter-status\" class=\"rounded border border-gray-300 bg-white px-2 py-1 text-sm dark:border-gray-600 dark:bg-gray-800\"><option value=\"\" selected=\"\">All statuses<\n...\n</persisted-output>",
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src=\"/_next/static/chunks/1mh6a-0e61pyc.js\" async=\"\"></script><script src=\"/_next/static/chunks/1vd1qadx52uao.js\" async=\"\"></script><script src=\"/_next/static/chunks/turbopack-3lkycj_hiom84.js\" async=\"\"></script><script src=\"/_next/static/chunks/3fntmmi971322.js\" async=\"\"></script><script src=\"/_next/static/chunks/0a9b7f7cxuypr.js\" async=\"\"></script><title>Issue board</title><meta name=\"description\" content=\"Browse and filter a list of software issues.\"/><script src=\"/_next/static/chunks/0cz1d0mv5g_q7.js\" noModule=\"\"></script></head><body class=\"antialiased\"><div hidden=\"\"><!--$--><!--/$--></div><main class=\"mx-auto flex max-w-2xl flex-col gap-6 p-6\"><h1 class=\"text-xl font-semibold\">Issue board</h1><div class=\"flex flex-wrap gap-4\"><div class=\"flex flex-col gap-1\"><label for=\"filter-status-select\" class=\"text-sm font-medium\">Status</label><select id=\"filter-status-select\" data-testid=\"filter-status\" class=\"rounded border border-gray-300 bg-white px-2 py-1 text-sm dark:border-gray-600 dark:bg-gray-800\"><option value=\"\" selected=\"\">All statuses</option><option value=\"open\">Open</option><option value=\"in-progress\">In progress</option><option value=\"done\">Done</option></select></div><fieldset data-testid=\"filter-labels\" class=\"flex flex-col gap-2\"><legend class=\"text-sm font-medium\">Labels</legend><div class=\"flex flex-wrap gap-2\"><div class=\"flex items-center gap-2\"><input id=\"filter-label-option-bug\" type=\"checkbox\" data-testid=\"filter-label-option-bug\" class=\"cursor-pointer\" value=\"bug\"/><label for=\"filter-label-option-bug\" class=\"text-sm cursor-pointer\">bug</label></div><div class=\"flex items-center gap-2\"><input id=\"filter-label-option-docs\" type=\"checkbox\" data-testid=\"filter-label-option-docs\" class=\"cursor-pointer\" value=\"docs\"/><label for=\"filter-label-option-docs\" class=\"text-sm cursor-pointer\">docs</label></div><div class=\"flex items-center gap-2\"><input 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id=\"filter-assignee-select\" data-testid=\"filter-assignee\" class=\"rounded border border-gray-300 bg-white px-2 py-1 text-sm dark:border-gray-600 dark:bg-gray-800\"><option value=\"\" selected=\"\">All assignees</option><option value=\"unassigned\">Unassigned</option><option value=\"Ava Chen\">Ava Chen</option><option value=\"Diego Ruiz\">Diego Ruiz</option><option value=\"Jordan Lee\">Jordan Lee</option><option value=\"Marcus Webb\">Marcus Webb</option><option value=\"Priya Patel\">Priya Patel</option></select></div><div class=\"flex flex-col gap-1\"><label for=\"filter-search\" class=\"text-sm font-medium\">Search</label><input id=\"filter-search\" type=\"text\" data-testid=\"filter-search\" placeholder=\"Search by title...\" class=\"rounded border border-gray-300 bg-white px-2 py-1 text-sm dark:border-gray-600 dark:bg-gray-800\" value=\"\"/></div></div><ul data-testid=\"issue-list\" class=\"flex flex-col gap-2\"><li data-testid=\"issue-item-ISSUE-101\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Login form crashes on Safari</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Ava Chen<!-- --> · bug, urgent</p></li><li data-testid=\"issue-item-ISSUE-102\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Add dark mode toggle to settings</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Marcus Webb<!-- --> · feature</p></li><li data-testid=\"issue-item-ISSUE-103\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Update README installation steps</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Priya Patel<!-- --> · docs</p></li><li data-testid=\"issue-item-ISSUE-104\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">OAuth login flow breaks on Safari</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Ava Chen<!-- --> · bug</p></li><li data-testid=\"issue-item-ISSUE-105\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Support CSV export for reports</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Unassigned<!-- --> · feature</p></li><li data-testid=\"issue-item-ISSUE-106\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Typo in onboarding docs</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Diego Ruiz<!-- --> · docs, good-first-issue</p></li><li data-testid=\"issue-item-ISSUE-107\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Crash when uploading large images</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Ava Chen<!-- --> · bug, urgent</p></li><li data-testid=\"issue-item-ISSUE-108\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Add keyboard shortcuts guide</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Unassigned<!-- --> · docs</p></li><li data-testid=\"issue-item-ISSUE-109\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Search results paginate incorrectly</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Marcus Webb<!-- --> · bug</p></li><li data-testid=\"issue-item-ISSUE-110\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Implement bulk delete for issues</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Priya Patel<!-- --> · feature</p></li><li data-testid=\"issue-item-ISSUE-111\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Broken link in contributing guide</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Unassigned<!-- --> · docs, good-first-issue</p></li><li data-testid=\"issue-item-ISSUE-112\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Memory leak in background worker</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Diego Ruiz<!-- --> · bug, urgent</p></li><li data-testid=\"issue-item-ISSUE-113\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Add dark mode to email templates</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Jordan Lee<!-- --> · feature</p></li><li data-testid=\"issue-item-ISSUE-114\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Fix flaky integration tests</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Jordan Lee<!-- --> · bug</p></li><li data-testid=\"issue-item-ISSUE-115\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Document rate limit headers</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Priya Patel<!-- --> · docs</p></li><li data-testid=\"issue-item-ISSUE-116\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Session times out too quickly</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Ava Chen<!-- --> · bug</p></li><li data-testid=\"issue-item-ISSUE-117\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Add CSV import validation</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Unassigned<!-- --> · feature, good-first-issue</p></li><li data-testid=\"issue-item-ISSUE-118\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Sidebar collapses unexpectedly on mobile</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Marcus Webb<!-- --> · bug, urgent</p></li><li data-testid=\"issue-item-ISSUE-119\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Write migration guide for v2</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Diego Ruiz<!-- --> · docs</p></li><li data-testid=\"issue-item-ISSUE-120\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Support keyboard navigation in issue list</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Jordan Lee<!-- --> · feature, good-first-issue</p></li><li data-testid=\"issue-item-ISSUE-121\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Notification bell shows stale count</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Priya Patel<!-- --> · bug</p></li><li data-testid=\"issue-item-ISSUE-122\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Add tooltips to filter controls</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Unassigned<!-- --> · feature</p></li><li data-testid=\"issue-item-ISSUE-123\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Password reset email never arrives</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Ava Chen<!-- --> · bug, urgent</p></li><li data-testid=\"issue-item-ISSUE-124\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Clarify API authentication docs</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Marcus Webb<!-- --> · docs</p></li><li data-testid=\"issue-item-ISSUE-125\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Add unassigned issues filter</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Unassigned<!-- --> · feature</p></li><li data-testid=\"issue-item-ISSUE-126\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Crash on empty search query</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">open<!-- --> · <!-- -->Jordan Lee<!-- --> · bug</p></li><li data-testid=\"issue-item-ISSUE-127\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Improve color contrast on labels</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">in-progress<!-- --> · <!-- -->Diego Ruiz<!-- --> · good-first-issue</p></li><li data-testid=\"issue-item-ISSUE-128\" class=\"rounded border border-gray-200 p-3 dark:border-gray-700\"><p class=\"font-medium\">Duplicate issues after import</p><p class=\"text-sm text-gray-500 dark:text-gray-400\">done<!-- --> · <!-- -->Priya Patel<!-- --> · bug</p></li><li 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          "command": "cat > /tmp/test-filters.mjs << 'EOF'\nimport { chromium } from \"playwright\";\n\nconst browser = await chromium.launch();\nconst page = await browser.newPage();\n\nasync function test(name, fn) {\n  try {\n    await fn();\n    console.log(`✓ ${name}`);\n  } catch (e) {\n    console.error(`✗ ${name}: ${e.message}`);\n  }\n}\n\nawait page.goto(\"http://localhost:4174\");\n\n// Test 1: All issues are visible initially\nawait test(\"All issues visible initially\", async () => {\n  const issueCount = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  if (issueCount === 0) throw new Error(\"No issues found\");\n  console.log(`  Found ${issueCount} issues`);\n});\n\n// Test 2: Status filter works\nawait test(\"Status filter filters to 'open' issues\", async () => {\n  await page.selectOption('[data-testid=\"filter-status\"]', \"open\");\n  await page.waitForLoadState(\"networkidle\");\n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  console.log(`  Open issues: ${count}`);\n});\n\n// Test 3: Label filter exists and works\nawait test(\"Labels filter exists\", async () => {\n  const labelsContainer = await page.locator('[data-testid=\"filter-labels\"]');\n  if (!labelsContainer) throw new Error(\"Labels container not found\");\n});\n\n// Test 4: Label filter checkbox works\nawait test(\"Label filter checkbox works\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  const bugCheckbox = await page.locator('[data-testid=\"filter-label-option-bug\"]');\n  if (!bugCheckbox) throw new Error(\"Bug checkbox not found\");\n  await bugCheckbox.check();\n  await page.waitForLoadState(\"networkidle\");\n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  if (count === 0) throw new Error(\"No issues with bug label\");\n  console.log(`  Issues with bug label: ${count}`);\n});\n\n// Test 5: Multiple labels can be selected\nawait test(\"Multiple labels can be selected\", async () => {\n  const docsCheckbox = await page.locator('[data-testid=\"filter-label-option-docs\"]');\n  if (!docsCheckbox) throw new Error(\"Docs checkbox not found\");\n  await docsCheckbox.check();\n  await page.waitForLoadState(\"networkidle\");\n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  console.log(`  Issues with bug OR docs labels: ${count}`);\n});\n\n// Test 6: Assignee filter exists\nawait test(\"Assignee filter exists\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  const assigneeSelect = await page.locator('[data-testid=\"filter-assignee\"]');\n  if (!assigneeSelect) throw new Error(\"Assignee select not found\");\n});\n\n// Test 7: Assignee filter works\nawait test(\"Assignee filter works\", async () => {\n  await page.selectOption('[data-testid=\"filter-assignee\"]', \"Ava Chen\");\n  await page.waitForLoadState(\"networkidle\");\n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  if (count === 0) throw new Error(\"No issues assigned to Ava Chen\");\n  console.log(`  Issues assigned to Ava Chen: ${count}`);\n});\n\n// Test 8: Unassigned filter works\nawait test(\"Unassigned filter works\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  await page.selectOption('[data-testid=\"filter-assignee\"]', \"unassigned\");\n  await page.waitForLoadState(\"networkidle\");\n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  if (count === 0) throw new Error(\"No unassigned issues\");\n  console.log(`  Unassigned issues: ${count}`);\n});\n\n// Test 9: Search filter exists\nawait test(\"Search filter exists\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  const searchInput = await page.locator('[data-testid=\"filter-search\"]');\n  if (!searchInput) throw new Error(\"Search input not found\");\n});\n\n// Test 10: Search filter works\nawait test(\"Search filter works\", async () => {\n  await page.fill('[data-testid=\"filter-search\"]', \"Safari\");\n  await page.waitForLoadState(\"networkidle\");\n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  if (count === 0) throw new Error(\"No issues with 'Safari' in title\");\n  console.log(`  Issues containing 'Safari': ${count}`);\n});\n\n// Test 11: Empty state shows when filters match no issues\nawait test(\"Empty state shows for impossible filter combination\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  await page.selectOption('[data-testid=\"filter-status\"]', \"done\");\n  await page.selectOption('[data-testid=\"filter-assignee\"]', \"unassigned\");\n  await page.waitForLoadState(\"networkidle\");\n  const emptyState = await page.locator('[data-testid=\"empty-state\"]');\n  const issueList = await page.locator('[data-testid=\"issue-list\"]');\n  const emptyStateVisible = await emptyState.isVisible().catch(() => false);\n  const issueListVisible = await issueList.isVisible().catch(() => false);\n  if (!emptyStateVisible || issueListVisible) {\n    throw new Error(\"Empty state not shown or issue list still visible\");\n  }\n  console.log(\"  Empty state shown correctly\");\n});\n\n// Test 12: URL params are preserved\nawait test(\"URL params are preserved\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  await page.fill('[data-testid=\"filter-search\"]', \"bug\");\n  await page.waitForLoadState(\"networkidle\");\n  const url = page.url();\n  if (!url.includes(\"q=bug\")) throw new Error(\"Search param not in URL\");\n  console.log(`  URL: ${url}`);\n});\n\n// Test 13: URL params are reflected in filters\nawait test(\"URL params are reflected in filters\", async () => {\n  await page.goto(\"http://localhost:4174?q=login&labels=bug&assignee=Ava%20Chen&status=open\");\n  await page.waitForLoadState(\"networkidle\");\n  const searchValue = await page.inputValue('[data-testid=\"filter-search\"]');\n  const statusValue = await page.selectOption('[data-testid=\"filter-status\"]', { force: true });\n  const assigneeValue = await page.selectOption('[data-testid=\"filter-assignee\"]', { force: true });\n  if (searchValue !== \"login\") throw new Error(\"Search value not reflected\");\n  console.log(`  Filters correctly reflect URL params`);\n});\n\nawait browser.close();\nconsole.log(\"\\nAll tests completed!\");\nEOF\nbun /tmp/test-filters.mjs\n",
          "description": "Run comprehensive filter tests with Playwright",
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        "tool_use_id": "toolu_01HR7gBcRupATiMjCTSYEEXH",
        "type": "tool_result",
        "content": "  Found 30 issues\n✓ All issues visible initially\n  Open issues: 16\n✓ Status filter filters to 'open' issues\n✓ Labels filter exists\n✗ Label filter checkbox works: check: Clicking the checkbox did not change its state\nCall log:\n\u001b[2m  - waiting for locator('[data-testid=\"filter-label-option-bug\"]')\u001b[22m\n\u001b[2m    - locator resolved to <input value=\"bug\" type=\"checkbox\" class=\"cursor-pointer\" id=\"filter-label-option-bug\" data-testid=\"filter-label-option-bug\"/>\u001b[22m\n\u001b[2m  - attempting click action\u001b[22m\n\u001b[2m    - waiting for element to be visible, enabled and stable\u001b[22m\n\u001b[2m    - element is visible, enabled and stable\u001b[22m\n\u001b[2m    - scrolling into view if needed\u001b[22m\n\u001b[2m    - done scrolling\u001b[22m\n\u001b[2m    - performing click action\u001b[22m\n\u001b[2m    - click action done\u001b[22m\n\u001b[2m    - waiting for scheduled navigations to finish\u001b[22m\n\u001b[2m    - navigations have finished\u001b[22m\n\n✗ Multiple labels can be selected: check: Clicking the checkbox did not change its state\nCall log:\n\u001b[2m  - waiting for locator('[data-testid=\"filter-label-option-docs\"]')\u001b[22m\n\u001b[2m    - locator resolved to <input value=\"docs\" type=\"checkbox\" class=\"cursor-pointer\" id=\"filter-label-option-docs\" data-testid=\"filter-label-option-docs\"/>\u001b[22m\n\u001b[2m  - attempting click action\u001b[22m\n\u001b[2m    - waiting for element to be visible, enabled and stable\u001b[22m\n\u001b[2m    - element is visible, enabled and stable\u001b[22m\n\u001b[2m    - scrolling into view if needed\u001b[22m\n\u001b[2m    - done scrolling\u001b[22m\n\u001b[2m    - performing click action\u001b[22m\n\u001b[2m    - click action done\u001b[22m\n\u001b[2m    - waiting for scheduled navigations to finish\u001b[22m\n\u001b[2m    - navigations have finished\u001b[22m\n\n✓ Assignee filter exists\n  Issues assigned to Ava Chen: 6\n✓ Assignee filter works\n  Unassigned issues: 7\n✓ Unassigned filter works\n✓ Search filter exists\n  Issues containing 'Safari': 2\n✓ Search filter works\n✗ Empty state shows for impossible filter combination: Empty state not shown or issue list still visible\n  URL: http://localhost:4174/?q=bug\n✓ URL params are preserved\n  Filters correctly reflect URL params\n✓ URL params are reflected in filters\n\nAll tests completed!",
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",
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  "timestamp": "2026-09-06T09:33:16.494Z",
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{
  "type": "system",
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{
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}

{
  "type": "assistant",
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    "model": "claude-haiku-4-5-20251001",
    "id": "msg_011CemxNn9B57U4treoeBRPS",
    "type": "message",
    "role": "assistant",
    "content": [
      {
        "type": "thinking",
        "thinking": "",
        "signature": "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"
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      "cache_creation_input_tokens": 1419,
      "cache_read_input_tokens": 45356,
      "cache_creation": {
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        "ephemeral_1h_input_tokens": 1419
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      "output_tokens": 1,
      "service_tier": "standard",
      "inference_geo": "not_available"
    },
    "diagnostics": null,
    "context_management": null
  },
  "parent_tool_use_id": null,
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}

{
  "type": "assistant",
  "message": {
    "model": "claude-haiku-4-5-20251001",
    "id": "msg_011CemxNn9B57U4treoeBRPS",
    "type": "message",
    "role": "assistant",
    "content": [
      {
        "type": "tool_use",
        "id": "toolu_01UiH24FXFCFt34MMaVATccs",
        "name": "Read",
        "input": {
          "file_path": "/tmp/page-screenshot-after.png"
        },
        "caller": {
          "type": "direct"
        }
      }
    ],
    "stop_reason": null,
    "stop_sequence": null,
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    "usage": {
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      "cache_read_input_tokens": 45356,
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      "inference_geo": "not_available"
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    "context_management": null
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  "parent_tool_use_id": null,
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}

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ts3Bx+du/eicnp0KFCq1Zs+bgwYN3796dP39+ypQpjeRo2bKlMrZylyrMzZo1K1u2rIGEJT7gdevWNScyZcqkywrm3c6bNm0yLB/qNmeFhIQcPnzYdpuq9itRt23btmHDhrVr19bFCF3aMAAAABAHt0AD9qxMmTKDBg3avn37a6+9tmfPnljBSUJDQxs3bqxl/Pz8FLrUkipVqoS2pupl3MZ+/fotWrRI5UpfX1/lt3fffddAwhIfcDc3N9vpsLCw6Ohoc5lsf+ndu3e1atVst5kuXboNGzZ88MEHStRvvfVWuXLlkvV1SgAAAI6DCjBgh27dutWtWzfVDM1P+Yoi07hx41Kk+P9rXhEREfq5c+dOpeKlS5dWqVJFL48fP277TTzmMiZPT8+zZ8+a05cvX7a2K9Fp3erVqyuqvfHGG7/++usXX3yR3DKy40h8wHfv3t2lSxfDMqpHjhx58cUXdcpU4M2bN6/yrbmMv79/rDJ+ZGRk6tSp+1roHGnLc+fOff/9gjRRfgAAEABJREFU9w0AAAD8HQEYsEMqLSpBvfPOO0FBQaVKlTp//vwnn3ySJUuWkiVLam7x4sX1c+zYsZ07dzY/iaoSbubMmTdu3LhmzRpNmBvRYitWrJg/f77CrXlHrl7OmTMne/bsw4cPt+6rVq1aysZK1/p59erV/Pnzk36tdCXC9ruUFWUTGXDD8rTnggULqoT7888/q5zbokULNXbo0EEVY61bp06drVu3Dhw4cMyYMe3atbOupa317Nnz22+/1fInT55UHi5SpIgBAACAOJzivacRwLPuxo0br7766pYtW8yXiq+qzebLl0/TUVFRPXr02LBhQ4MGDRS0lI3Hjx8fHh5ev359hWSlsoMHD2qxc+fOqYasmuTXX3+terLqlkpi169fT58+vaqR77777owZM1Rh3r9/f79+/U6cOGFYMrOSsPnUaDRp0mTHjh22LaNGjdJFh3gHXNcOdHli2LBhCswHDhxQKn777bd1Bs0Vv/zyy2nTpt28eTNVqlT9+/d/7733DMungrX9Xbt2KfFqm5MnT9ZVD5WCe/XqNXjwYGdnZwMAAAB/RwAG7FlgYKBybO7cudOlSxdrlvnhUvOmaIWxkJCQtGnTxt2CwpXtDbfKYN7e3rFuwTUs9+U6OTmlSZPGQBIkMuBy7949nS+NZ6x2DX6GDBkSSrY6oSo4KznHXREAAAAmAjAAAAAAwCHwFGgAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAEAAAAADsHFAGCPIiIi7973v/8gMCw8wsAjcXNNmS6tp3c6r5Qpk/2fytk77wzxvXLyRmhCCxTO6v5Zm5ztKmVIaIF58+aVKlWqQIECxlPz+++/BwcHnz17Nu6s/Pnzp0qV6qWXXjKSJiYmZvLkya1atUqfPr3xND1+n2/fvr1ixQo3N7e2bdsa/z1P8KQ8QQ89v7ajum7dOmdn51q1ahlPQkBAwLRp015++eXUqVMb/7j/5ukAADwOJ/1WMwDYF6Xfi1dueKZOpfzm7uZq4JGEhoXrCkJgUHCenFmTm4GLDDqYSPo1KQOf+KZ0QnOrV6/ev3//9u3bG0+H/rJPmzZts2bNElpg8eLFDx48SOLf91FRUZkyZdqyZUuxYsWMp+aJ9LlKlSrqaps2bbp27Wokx927d3VVolu3bilTpjSejid7Up6gh55f21Ht27evkvD3339vJM3q1avTpElTuXLleOcePXq0Q4cOvr6+hQsXNv5Z/9nTkQhdLKhdu3bu3LkNAEACuAUasEOq/Sr9Zs3sTfp9HBo9jWEaz1R37vkbyZRQ+k3p7LT+w6KNS6VNZJl/hupaifxlL5qrZYz/ksfv86VLl06ePDllypTkpl+5cePGu+++Gxr6FM/as3hSjDijOnbs2KSnX/ntt9+WLFmS0NzixYsfPnz4n0+/xrN5Oj755JNjx44ZAICEEYABO6S6pWq/Bp6EtF6eD/wDjSfk5+55axf1mtq7QCrXh//nNyQkRMU0Hx+fhg0bLl261GycOnWqGq3LDB069NtvvzWn169f37x58zx58nTp0mXlypXPP/98IhuP967OZC1z5cqVV155JW/evPXq1Tt48KDtrLlz5zZp0iRfvnwdO3bcu3evtf3QoUMql2mVWrVqzZ4922xUfFLlUIdZsWLFX3/99ZH789BlVK9r2rSpJtRhVdcNy529X331lWqPZcuW/eijjyIjI80lt2/fXr9+/Vy5ctWoUUNVX7WsWrXKrMar5b333tPEgAEDJk+ebN34Cy+8sGHDBk1oO9999522rxNhHvv8+fM1GgULFuzVq9e1a9eMR+p8EpcJDw8fNGhQiRIlSpcurZ736NFj1qxZ5qwDBw506tRJJ6Vx48bWwU+kPZHzayvuqH722Wdff/21eeA63RMnTlSI/emnnwzLW7ROnToaWC28c+dOtbRu3XrdunWqtZYrV+7cuXNxt6/rDpqlQqth+Rfx5ptvFilSRBv84IMPwsLCEmpM5J+JjqVz58758+fXrrdt22Y86lAnZZmkv0l+/vnn6tWrq1effvrpmDFjdBLNVe7du6fFihYtqn/OOiiz0RzYmTNnPvfcc1pLI2xY7lAwB0qjoeE1AAAJIAADdigsPILa75OikXxSn6PuWzfLyzUzRUUbzb87GRwe/dDllc1y586tP3aVGXr27HnkyBE16g9cRQLrMrdu3bpz544mzpw5061btzJlyixYsKBmzZqqVV68eNF4aiIiIpSO7t+/P336dP2B/vbbb1tnKc+oRZlWMVh/0CsDK0qp/fr168qQWbNm9fX1VURXNli7dq3aNa30u2XLliFDhijA7N6923g6FBWGDx+uiQkTJpgdVihSPlRgU8VSyUQdUKMOqm3btgrAuuigo1BqPX/+fKVKlbSY5o4fP95MVn5+flrSuvHLly+bxcCbN2+OHj3a29tbI6PQq+PSkWoQZsyYoYCtGqkyqvHUvP/++xr/kSNHKkSpA5s3b/b3//P+BQXvDh066O2kwddZUEZSpE+kPZHz+9BRtb4nAwIC1IGNGzf++OOPrVq1UkLTLjSeip2NGjXStLLrl19+qRSnSzy69pE9e/a429egXbhwITr6z38vw4YNO3HihCK3oqDePOPGjUuoMaF/Jjo7SvsFChSYM2eOLnwoRj7VfyZJfJNo8BXRX331VfVKg6YSuhbQYjpq/cPXtKrretfp/WleCNMyel9t2rRJsVlhXnFal5a8vLw0hp6enm+88YZ5uQEAEC8eggUAT1G6VM73g6M0Ub1QmlHdfDTx1u8XdpxNUklZoUt5RhOqTx49elR/33/zzTcJLazandKvGdK0vNKmtV70NKhsdezYMWVy86lIKVKkUPw2Zyki9unTp3v37mZPVGBUyHznnXfUw5w5c+oQnJyclHnSpk2rbBYVFXX8+HH99Z/TQn/Hu7u7G0+HumreSVuyZEkPDw+VfxXM1LeqVauqUYFEqUwDqA6oOJkjRw41lipV6rffflMmb9eunbmuyoxp0qRJfEfly5dXHc+c1mYVIBXyzZEpVqzYvn37Evq862NS8VOlVF0BMY9Ih6nKoTlLyUpXGUaMGKFp1Qn19lBQbNCgQULtiZzfWGKNatwFlMpcXP78Y0N1dW1H5WJFtYEDByp4q13r6p2QKVMmDbXxMOqPDk2JUdNr1qxRSk+oMSE63WaV1TxeHaZGQJ0x/nG2bxJVid966y3zBnL16vDhw2a7itV67+lEKNYalmK4ir0qIxuW6wJKuSlTptQ/JaXi5cuXl7JwdnZW0f6pfhQfAJ51BGAAeFq618z0dcfcz395/FZAxLw3CqVwMmZsuzNqtV8SV69SpYp1WmFYf+MmsrBiQMWKFa0vFbGeagDWH+WFChWyPhPYtqv6871Hjx7Wl+qVYq3Zrl4p/Zrt1ocwqxKocNWsWbN69eo1adLk6QXgWM6dOxcUFKT8o+KhYal5qjZ76tQphQflipkzZ548eVLlOy0WGJi8e+BtP7CqgqoKmPfu3TNfasIcB+MpUId1QUGJyHypYGkNwHp7VKhQwbqk3k6TJk1KpD2R86sqsTK8OZ0rVy7VMBPpUr58+cz0K6VLl1bpVWG1ZcuWytg1atSwvhmslJZt7xmeP3++7VwVb/v166eLQarPt2jRQrE5ocaErF+/XrXTDz74wHyps6NMbvwbbN8k6vy7775rfam3h94zhuUjA3rvffHFF2a7eq4lzWkNrPVhbLr0YC4PAEgKAjAAPBUuKYwBDbNm8HTZ+FGxu4GRmbxcDl4K7jnp4Z8qtHJ1/f/72N3c3MwPN8ZifZK/qmrmza4m2+mnQZ1Rl6wvbbsaGhoab88VL+N9frIKWQrDixYtGjx48EcffbRkyRL9cW88fSEhIfqZJ08eFc3Mlvfee0/DePr0aRXZFIOV+lSUNpIvVq5TRc56c692obhiPB3qvN4PSvXWU2N+dNaI76TodGjhhNoTOb+6VKGcbE4/tBhuOxSpUqVShVbnd+XKlSr/li1bdu7cubGud6guartfrWKeJpOulZQpU0bXLJST9W5RVNaZircxVjes/0x0dKqm2p6Op/pNY4mwHZlY/3itZ808dmtvVTzXvxTzWKyXFYw47zcAQOIIwADwVERGG/VHHN8wuFixHB7pUjnfC4pq8d3JkIhkfPOcWTg1qWxo3taoP9/Pnz9vbb9x44ZZplOcGDt2rAKk/piOjo7+448/jKdJnfnqq68UJ8xoZNtVBTz1tk6dOtajKFGihGG5nXjr1q3WxQ4ePKiUpfqw/nyvafHll1+qMKjSq2KM8fSpwqkUoT1a7xdVtFBnvvnmGx8fnwULFpiNP/zwg+1aKrGaE6lTp7aeiMjIyFu3bsW7FxU8NRSvvvqq7S6Mp0PdTpcu3ezZs/v06aOXO3bssD5WSicl1tPIdFLUk4TaEzm/devWNR6V4m4bi6tXr6pSvXPnTvPrgq2jWsIikS2ocPqRhUqmY8aMMbNu3MaE/plUr17d29vbfFjXPyCJbxIFeJ215s2bG5ZvVFZd2izLaygyZMig+ra1TJ2U9491MAEA8eIhWADip7+eN2/ebFhqfb/88kty7wKF3AqIrP3FsTN+odExRrtRpy7eSd7Tj+bPn7948WJVgfRTgbZly5aG5TOoFy9e1CyFk6VLl+o0mQt369ZNfysrnCgDNGzY0FrVfEqUXpS1tK979+6dOXPG/OyxSRW57777Th1Tz6dPn75+/foWLVoYlsrhnj17fv755+DgYE3ocC5cuHDz5s0cOXL4+vrqL3ttSnWw/PnzG/8IRbsXX3zxnXfeUTf0JlchumDBguqzhlGhRYOsfo4cOdJ8HJHkzp1bxUmdC7OgrXCiQ9u3b5+KqIru1idIx6LRUKJW0tMCWj5XrlzW+4efhu+//37o0KF6Myg1DRo0qEiRIma7ioe6+jB16lQd4K5du9Sldu3aJdKeyPl9ZKr9aoTNL+m5fv26BsQs9Su+bt++XS3mk64SobT8/vvva8D15tfy5urxNib0z0QhU2dBb0str1K/ivyjRo0ynpokvkk+/fTTLVu2NGnSRKescePG1rujy5Urp7OgMvVdi1deeaVjx46J71FnXPn5ad8AAgDPNAIwgD8fSaqqyIcffmjbqL8dze9EUQzQn2W2zzJNxNGjR2N9bC9e06ZNu3TpkuEAlIFrfH7s1V/OrTma7D9JNez66zxnzpwKaR9//LH5tUaVKlXq3bv3a6+9li1btt9++836PaWqrc2bN++tt95S9H3jjTeUfxLfeFJyZiLLqMKm1KQcW6BAgUaNGr355pvWWZ07d+7bt6/+WFfPf/zxx/Hjx5s3/erPel1JmTJlikKgkqcWUCUwc+bMCl36Ez9Pnjzly5dXPbZVq1aP0J9kLWOl6m6WLFlq1KiRPXv26RYeHh5KgIp/yh6KUnrzly5d2nrIGlVFQdwzeFEAABAASURBVLO+qqKu+RVB6nmqVKl0OuLdRZcuXXr06KFEqh317Nnziy++0JaNp3aAutZg5kwNsi4rWD/Eq4ruxIkTx40bp5Nidknjn0h7Iuf3kWk7rVu31jUaVao7dOigwVcn1a63QcqUKZUVT506lfgWdGFlw4YNGnbz1OgfRUKNCf0z0fHqYHWxQ5ddqlvYfltSLI9/OpL4JlHPdQjmB+AnTZpk/TC/VtGVL5XfixYtqhOh/wg/9PHOOmpd0bB+DhwAEJeT9YMxAOzGoWNnSxVLRgzQX4RjxowxLPfZWu+vUybRX5MKYCoB6Y88/RGWlM9Dqr43Y8YM87suE6E/+MaOHas/iI1/mw5cf38rnFhb/Pz8lCT1p7O1JbnjKUUGHTx5IzTxZQpndT/xTWnjYTT+qgLFuu9RRUjVlNKmTWttUZlu27ZtCp9m7XfIkCF79+61fntwXL///rtWtwaDuFTqfPDgwUsvvWQkSn+Ue3l5xfskIa1u28PEV7l9+7auwiT+RKIn1edYVJcLCAiwZkWTWjSSSiCxFtYvzaioKOsnMFVqU3iL9+nHsegAVVtO/P7Vxz9AXbTShQYztN+5c0epUi1K+NYFEjopyTpZj0NlXr2lNRSx2q23Wz+UxlxLxvrwcLyNcf+ZWKkPCvnxfijd6km93x76Jtm8ebP+Y9uwYUPzpS511a9f3/qkLgkMDNQ7J3Xq1EbSJH0wAcABEYABO5TcwFa7du3Bgwfr763Ro0dbn0/70AC8fv16VcOUu/QHt+paKrkMHz7cvFla9TRtrW3btleuXHn33Xe3b9+uvyOVM7UXbU31kIsXL2bKlEkbXLNmjQpNO3fuVB42Nzt06FD9wa2ap2FJpyoY6u/4KlWqfPvtt2b95ODBg19//fWOHTvKlCmjxcxvfElo4cRNnjx54MCBKtEoKGbNmtWwfFbwhRdeOH/+/Pfff2/93pdHCMCzd94Z4nslkQys9PtZm5ztKmUwnpC7d+8q5+hYdAaPHDmi8ZkwYYL1T+p46e97neKzZ+N5LpfOuLJfcpPkP+BZ7HOyPOYBqqyqIqEK7Mo/K1euNOvAicc8JOKfeb+pZtuuXTtVgHW+tmzZov8KLVq0SHVyAwDwFBCAATuUrMB24sQJ/eF18uTJr776SulRwc9sTzwAK24VKVJEf20rdM2aNUvJ+fjx41p90qRJy5cvnzhxYo4cOVTkUQBTEO3fv78Sr6LmsGHD9HfesWPHVFR5//33a9WqVaxYMf29roqxiq7mlvv27auC55dffqntDBgwYNq0adqOAnZQUJD+lL9582adOnWUpVu0aLF27VrVrpXD8+TJE+/CDz12FXsbNGhw+fJl5cZly5apRUOh9Gu+tJaFHyEA/ytUaNJRnzt3TmdKRaRChQoZcDxbLVT5LFWqVNOmTW0fF4z/LGVs/TdH/33T9cTGjRvHrZADAJ4Ufi8Cjm727NmqeapGpKqR/lweMWKE7deQJESBOUWKFFpe1Vol2w4dOujvbOUu1X49PDz0l7e5mArCipHa+HPPPbdp0yaVJTt16qS5zs7OCpnWp+/GS2VMBW/zm2N//vnn27dvq1FhW42ffvqpYXlCzN69e+fMmaMOxLvwQ6lv+qNTaVyh1yyWXrp0SYUXFYRtb4p+VuhcdO/e3YBjq2Zh4Jmi/3z9Y8+mBgAHRwAGHFpMTMzkyZNVmL127Vr69OkjIyNXrlxpfhtH4kqXLl2gQIGqVau2bNlSRVTVgeP9cKPqGKtWrTp48KAqxirPakkjyZSuVVhWvbephfk8W9V7t2zZYv10nDZufjox3oWTQpXqRYsWaRXzoVxKv4sXLzZvhwYAAICd4SnQgENTmPT39x8wYID59ZtBQUFmcfWhUqVKtWbNmk8++cTPz0/lXwXI0NDYn3cNDw9X+xdffKEJ1TdUU03Kc1msn8soWrSoCrzt27fftm2bkvbQoUPNbXp6emb/y3vvvde6deuEFk4iFa5V8tXWcuXKpfSrSGwAAADAHlEBBhzarFmzOnfu/MMPP5gvjx8/riKqqrXe3t4PXdfd3b2NxdWrV5977rmdO3fWqlVL7VFRUeYCSqRHjx49deqUl5eXXu7fv986y3YxBdrz589b22/cuGF9Hm/GjBlfs1i4cGHPnj0//PDD6tWrq2/x3isYd+Gk3MttUuhVBnZ2dib9AgAA2DEqwIDjCgkJWbRokSqozn9REbhAgQJJ+SJf87tGjx07punr169HRkbmy5fPsHzXqxKv2tWSIUMGFWx37Nih6RUrVqxatcq6epEiRfRSxWdNFy9e/OLFi9qpFlYK1fLmMh988EGjRo3u3btnWD6aq2iqQNu8efP169dPnz5dBefTp09XqVJl1KhRCS1sJEeePHmS8j1PAAAAeHYRgAHHtWzZMqVE2+8IlZYtW6os/NB1lTaVnOvWrevj49OhQwfVkHPlymVYHsCjGnK9evWmTp1aqFCht956q2vXrtmyZZs4cWL79u2tq/fu3Xvr1q2qG2u6UqVKeqnKrRb77bffrN+6qXVVHFaiVjRV4p00aZIaixUrNm7cuJ9++kkRt7pF3759E1oYAAAAsMXXIAF26B/72p7o6GgVXeN+Y4dKvqonm4/FUl03ODg4Xbp0cVfXLOungsPCwlTUTZs2baxl1KjFzJuobWm/SryxvuA0oYUf07PyNUgAAABIHJ8BBvDoUqRIEe/3Vdp+9airRbyr27a7WcRdxt0ibrv1c8JJWRgAAAAwuAUaAAAAAOAgCMAAAAAAAIdAAAYAAAAAOAQCMGCH3FxThoaFG3gSNJIaTwMAAADPPgIwYIfSpfW8/yDQwJPwwD8wrZenAQAAgGcfARiwQ97pvAKDgv1u3aUO/Dg0ehrDgMDgDOmf8PcqAQAA4F/B9wAD9ikiIvLOPX9VL8PCIww8EjfXlKr9Kv2mTMk3xgEAANgDAjAAAAAAwCFwCzQAAAAAwCEQgAEAAAAADoEADAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAifn8889Xrlxp4OkLCQk5evSov7+/8ZQFBgaOHj369OnTBgAAgIMhAAP27MKFC94WxiOJjIycP3/+1q1bDTxNt2/f7tSpU65cuWrUqOHj49OkSZNz584ZT82DBw+GDBly6NAhAwAAwMEQgAF7NmfOnPTp02viwIEDRvK5uLjs27fvs88+M/A0DRgw4MSJE+vWrbtx48bOnTujo6OVhw0AAAA8aQRgwJ4pAPft27dixYqasG0fN25clSpVVGxs1qzZsWPHzMaNGzfWr18/T548NWvWXLBggdnYuHHjH374wZxevXp1ixYtChQo0Lt370WLFmmz165dU3u9evVGjx790UcfFS1atF27duvXr7fuSAVk7aJgwYLdunWz7iiRdse0Y8eOatWqlSpVytXVVWMyZcqUYcOGhYWFaVZMTMzXX39dvXp1zX3rrbcCAgLMVa5fv/7yyy8XKlSoRIkS/fv3DwkJUeOZM2d0UnRqdJry5s1rrj5ixAgVlrXZjh07Xr582bpTrfLKK6/ky5evQYMGBw8eNAAAABwAARiwW/v371ciUs5s2rTpvHnzoqKizHYFpMGDByt5Tpo0ycnJqVWrVpGRkTdv3mzTpk2RIkWmTZumENW9e/fjx49r4fPnz9++fVsTiqlKXIGBge+//767u/uHH36ojWtFzTp37tyoUaP8/f1ff/11Ld+rVy9zXxs2bNC0otcXX3yhjXTo0MHcVELtDqt8+fK6QjFmzBg/Pz+9zJYtm64puLm5afqrr776/vvvdWreeeedtWvXatyUadWuc3H06NEhQ4b06NFj7ty5Q4cOVWN4eLhOyqBBg3Rp4+2331aLqvcjR47UdY333nvvwoULL7zwgnnKZPjw4fnz5+/Tp4/au3TpYgAAADgAFwOAnVKmKmShvKqktGnTpjp16hiW26G9vLy6du2aKlWqSpUqKf8orx46dEg/O3fuXLlyZVWAFY+zZMliu7WZM2emTJnS19fXvKdawWn27NnWuar9/vTTT5pQfViVxt27d2s7Kh1rj999953aGzVqpGUWL16sqmNC7Yaj0tB16tTpYwtdg1AVXRcgdI4UVn/88Udl1zfffFOLqTivqxWKuBpkBeOcOXNmzJhR7UeOHNm2bZt1a0qzqsZrIiIiYuzYsf369dPZ10uVkXXFQaunSZNGL1u2bGku5uzsrHYV87Nnz24AAADYNQIwYJ+UZqdPn96iRYsbN264urpmzpz5jz/+MAOwMqdyUYUKFRo3bqzaoIqNikAqQipQtW3btmHDhrVr127evLkCmO0GlbJKlChhpl/RpmwDcKlSpcyJ0qVLG5aHbykAK3Iblg+4mrNCQkIOHz6siYTaHVbWrFnXrVunCxOrV69WrV5l22UWJ0+eDAsL06UH85lYKr/rpy5VqHiu6xpr1qw5ePDg3bt358+fr2sT1q2pgG9OnDhxQhlYlzPMl4rWv/32myauXr1q2JyyMmXK6OedO3cIwAAAwO5xCzRgnzZu3BgQEPD7778Xs7h586YKwuYnRRWQtmzZ0r59+71796paq8Sr9nTp0m3YsOGDDz5QoHrrrbfKlSsX62tyUqdObQYwU1BQkO1cF5f/XU1TljYnoqOj9VNF5mx/6d27d7Vq1RJqNxyeguigQYO2b9/+2muv7dmzRxcFgoOD1Z43b15zoJR7NVa5c+cODQ3VxQst7OfnlylTJsMyntbtWE+B+Sli22xsy3rKUqTgFwEAAHAUVIAB+2Q+9Uox2HypWuKrr766fPnyVq1ahYeH58mTZ4iFqov9+vVTElbBVhG3r8XZs2erVKkyd+7c999/37rBsmXLrly5ct++fcrG2sKMGTMS74BilarKCm8K1WaLv7+/QldC7YajunXrVrdu3VQPV2XebNHlgHHjxmmgihcv7uTk9MILL5if0Y2JiXnw4IGyrkKy4vHSpUt1mtR+/PjxeL/TSKtrIzplZhFYNV6dbtX2rQkZAADA0XDhH7BDqugqHb3++usl/9KmTZtChQqZqVjJU7XErVu33rt3T2VeRSzNWrRokWqMU6ZMUQVYaTkyMrJIkSK221R+zpcvX7NmzVq3bq0E6+np+dBudOjQwdfXd+LEiWfOnJk6dWr+/PmXLFmSSLtjUglXFd133nlHVxx0OlatWvXJJ59kyZJFZ01Zt0WLFp9//rkuPWjWe++9pzN17do186O/OmW6VDF58uQ1a9bEu2UPD4+WLVt+++238+bN2717ty5tfPPNNxkyZDAAAAAcFRVgwA4tW7YsMDCwadOmto3Krj/++KPyrXLnbP0IAAAQAElEQVTUlStXlKyio6MzZ86sIKqfKgwqIA0ePFhJTKXgN998U8vbrp4mTRrF1MWLFx87duyVV17Rups2bVJ4TqQb3bt3v3HjhgKY9qgsN3DgwHbt2iXS7rBUTtf1hV69epkvS5Qo8ccff5h3Jo8ePVrnpWfPnkFBQdmzZ1fc9fHxMSyfoB4/fvyECRPq16/ftm1ba6k/llGjRmn1N954Q6ur7K/N6uTev3/fAAAAcEhO5jdqAHA0YWFhAQEBZi3RSrH21q1bysNxk+2hQ4c2bNjw0ksveXt7G5YApjCsEm5S7qe9efOmCo9xl0yo3THpmsW5c+dy586dLl26WLNUkFe53vy4r1V4eLhK/WnTpn3olrW6zrX1AWYAAAAOiwAMIEmuXbtWp04dDw+PqlWrnjp16sCBA5999pmqiwYAAADwjCAAA0gqFSF9fX1VpcyaNWu1atXKly9vAAAAAM8OAjAAAAAAwCHwFGgAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEFwOAPYqIiLx73//+g8Cw8AgDT5mba8p0aT2903mlTPko/1HlZDmgx3zPAACAR8PXIAF2SIHq4pUbnqlT6S9sdzdXA09ZaFi44mtgUHCenFmTm2c4WY7pcd4zAADgkRGAATvkd+uu/mVnzext4B/0aMPOyXJknH0AAP5hfAYYsEOqLKmcaOCfldbL84F/oJFMnCxH9mjvGQAA8Mi47QqwQ2HhEdxM+8/TmD/Ch3g5WY7s0d4zAADgkVEBBgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYADx27Fjx+bNmzURFhb2yy+/BAY+4WfVBgQEjBkzJigoyMDDRERE3Lp1Sz+NpykyMnLfvn3h4eGPuUwSHThw4N69e3Hbr1y5cvHiRQMAAOApIAADMG7evOnt7f3hhx/aNs6fP3/27NmaCA4OHjRo0P37940n6tKlS+PHj1faMZAwXSaYM2fOqFGj5s6dq5/z5s174lcirBSwV69eHRoa+pjLJERvpL1790ZFRWk6Ojp69+7dV69eNWcdPHjwwYMH5vSJEyeOHj1qAAAAPAUEYACGwlX27NkXLVoUExNj/FOKFy9++PDhwoULG88I1av9/PxsW/Ry3LhxxtO0YsUKd3f3AQMG9OnTp3///s7Ozmoxnk2K7mvWrFENWdMpUqTo1atXiRIlzFkbNmzQVRgDAADgKSMAAzBmzZr1/fffK2jt3Lkz6Wtt3769fv36uXLlqlGjhiqT1nYFxfLly+fNm7dTp07Xr19PqPHGjRvlypUz637h4eEqMisOlS5dWpvq0aOHuqT2jz76SB1TaVo5uXXr1opP1r2oQN2kSZOCBQsqR127di3xdlWb27Rp4+PjU7FixV9//dVIvsmTJ3/88cfasrpttmhCLwcPHjx16lTjqbl161aePHlcXP78zvaUKVNqj/Xq1TNnhYSELFu2TAOrDhw4cMC6yr59+yZOnKhxmz59ulY3G9euXavzpeXVbg7L8ePHtcAPP/wwY8YM60HJnTt3fvvtN7X7+vpqF/H26t69e1pLy+jSibkLlW3VYl1Au9CImcVe09mzZ7VBTUyZMsU8jzNnzjx37pzKwhMmTFBJeeXKldOmTYu1o4SOEQAA4NEQgAFHp+iifFi7du2WLVuasTMp7t+/37ZtWwXgpUuXKlsqbZ4/f17ty5cvVy4aNWqU8owCm4qWCTWqEnjhwoXo6GhNv//+++vWrRs5cqSijlLZ5s2b/f39Dcu92WPHjs2UKZPCleLrq6++amaqLVu2qCjasWNHtWs7Xbt2NT+VmlB7ly5dtLrmDhky5IMPPti9e7eRTC+88IKivo5RE34WmtBLRfpGjRoZT422v2nTJoVV8wPAGr106dJpQrV6VeyDgoJatGhRoUKF9evXnzp1Su3qkqqp1atXb9++vZeXl5k5Dcvtx7t27fLw8NB1BG9vb428TlyRIkXatWuXOXNmDZcWMJfUKGl1JW2lXNsrDrZWrVpVqlQpvQFUkdYVh7CwsNy5c1+5ckXh2Vzg5MmTGTJk0FzrKjly5Hj++ec10bRpU10K0YSufeigdNlFh+Dq6lqpUqVYI5nQMQIAADwyFwOAY5s9e7aynJLViy++qHAyYsQINze3h65llouVajStLKSaoVKl0tqRI0fy589fuXJlJyenn3/++fbt21og3kYrxafff/99wYIFVatW1cuSJUsWLVrUOlcv33rrLcNyy7Ry2o4dO6pVqzZ69GilaMVatY8fP75YsWIqe2r78bYrOylADh06NKfFoUOH1HkjmbJkyaJSZLNmzZQwGzZsaFiqygrVipGaZTw1qvfqGoH2ojSoBK7R0EFpGFWzVZW1X79+io6G5e5iHWmhQoWyZcvWp0+fVKlSqTFNmjS6fBAQEKAJvcyePXudOnXMzepkPWdhtisY64pD2rRp9bJKlSo6j4YloO7duzfeXql0b969rGNX/VZjoiyt0Th9+rRyr9rPnDlTs2ZN21U05gremtDlDNs3WIoUKbJmzaqfCvaK4rarJHSMBgAAwKMiAAMOTbFq8uTJw4YNU9JInz69qqYq0jZv3vyhKyrPKDPPnDlTtT5Vg8+dO2c+nEkRWilUQauphXJRQo1W2oLqumYYE8Uw2wBsXVh7LFCggEqXCsCqQGrC+gxhTRw+fFgBOKF2lUO7deum+Ko8qdrmIwRgw1LDVEFS/Vf01UvlvcWLFyu8GU+TBlmXJ1Q7vXjxoq4jLFmyRGdKhXeVoFXcNh/TbVjSuPkZWh2ari8cO3ZM8dV8wrb1ic1mNDVp9bJly1pfakgNy/3GhiWgmo0KtwndAq0obk64uLhosVu3buk0KZnv379fo606sN4MuuRhPJ6EjhEAAOCRcQs04NC2bNmi0t+AAQNKWCgyffrpp0lZUbW+6tWrz5o1S8VD66OMRNlVZUMFzm3btqmiq7prQo1WXl5eyuG234dkfSCwYYlY1mlVPq3TqlJm/8t7772n0mgi7T/99NP06dNVFx08eLCql4rrxiNRAVnFWG1ZCVDp1yyA/wM0yEqYbdq0URI+cOCArlOYd0Sn+UvBggVr166tYTxx4oSq8VevXtXBqhqc0AZ1xUFF13hnWQfZdrRjsb23WSfIfK6V+qCAqoKz3huq09qeuEeT0DEaAAAAj4oKMODQlGA7d+78ww8/mC+PHz+uOu3du3fNu1UTsWDBApVA9dN8ad2CZMyY8TWLhQsX9uzZ88MPP3Rzc4vbaF1e20mXLt3s2bP79OljWL5/+KEBVSla/Xz11VfNlwpFZlpLqF0/a1p8+eWXDRo0UOFaSdh4JAq9ysBKgP9A+g0ODlbNWRVg8x5mw3K7smH5DiHVXRVxK1SoYI2p5sGqBqvSroKiYSmAr1u3Lt4ta/UbN27ky5fPfHn27FnVh5Ny67tJtVmznqydalrRVNNaXRs8c+aMArBZUo6X+anvuOIm24SO0QAAAHhUVIABxxUSEqJ81bp1a+e/qJZboECB+fPnP3Rd5Z/z589fvHhRIW3kyJHWe1M/+OCDRo0amTchX7p0SSlRuSjeRtutff/99yoLd+vWrV+/foMGDYp1j3RcKiZ/8803O3fuVO1x/fr1qsfu27cvoXb1TXv09fVVfFIfVPF+zLtz8+TJo1Kw8fQp/oWHh69YscIsievnxo0bdVCurq6q7moM16xZE2yhywpz5841V1GyDQ0NVUVdCye0ZRXGNUo6faqyHj58WOsmK1hu3bpVuTcsLGzTpk36qQEx21Xq37x58/3793VRI+5ausyh99ipU6fMirEtvZ0UwmN9vXBCx6hpvUXNT5InNA0AABAvKsCA41q2bJkCRo0aNWwbzWdB9+jRI/F127Vrt2rVqnLlyqVMmbJv376lS5c229966y29LFy4sIeHhwLMpEmTEmq01aJFC9U2V65c6eLiMmTIkO7duye+9y5duly9elWB+datW4pVX3zxhXqSSLtS8Xvvvff2228rA6vi3apVK+MZ8eKLLy5evHj8+PGKjlFRUYqa5ie0Next2rRRLXrMmDGqqaq9adOmaq9evfq8efN++uknheT69eufPHky3s0WL15cFwKWLFkSGBiYOnVqbTNt2rQJfeI3Lu1FWTQgIMDb21vrenp6mu26sqCNqAQd7/3V6lLFihWVmS9cuKAzbjurfPnyap84caL5hHBTQseooKuLL8rwGTNmTGjaAAAAiI8Tn6cC7M+hY2dLFXvcRxAlhSKQgpn5zGFbKuWpdOnl5fXQRtPs2bMVj80UfefOHRWi1RIrmcdL5T4VD+NWL+NtV6MCW0KffX0iHmHkk7KKqqwqq6ZPn958HrIt8xlXsdoVBd3d3ZNypMqruiphJJ9+d2jdWKdep3jcuHGqw5u3aie0osTbNyV8208XW8U9Rtt7oROaflb8Y/9aAQCAQQUYwOOwfjY1FneLpDSarl279v7776vaqZCjOrDqhJUrVzaSIKFaX7ztz25hUIX6hL5sKW4kNiw3QhtJ82jp17B8rDrWXk6cOLF///4cOXIkkn7NFRPKqPGmXyO+Y7TdQkLTAAAAcRGAAfz73nzzzQoVKmzdulUlxCFDhjRt2vTxnyGMf1hAQECBAgXKlCljAAAA/FfxJyaA/4RqFgaeWbqEYQAAAPy38RRoAAAAAIBDIAADdsjNNWVoWLiBf5bGXCNvAAAA4L+KAAzYoXRpPe8/CDTwz3rgH5jWyzO5a3G1wpFx0QQAgH8YARiwQ97pvAKDgv1u3SVZ/TM0zhrtgMDgDOm9krsuVysc2aNdNAEAAI+M7wEG7FNEROSde/768zosPMLAU6YinmKM0m/KlMl+sqDO1MUrN9J4ptIW3N1cDTgGXTTRP09dNMmTM+sjvG0AAMCjIQADwL+MqxUO6HEumgAAgEdGAAYAAAAAOAQ+AwwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAEAAAAADoEADAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhuBgA7FFUVFRwSFhISFhkVJQBAACSxsXZ2cPDLZWHm7OzswHA7jjFxMQYAOyL0u/d+wFurin1KzylC9e5AABIqojISF0+DguP8E6XhgwM2B8CMGCHAgKD9U/bK01qAwAAJB+/SQF7xWeAATukS9eq/RoAAOCRuLu7hoaGGwDsDvdGAnYoMiqKO58BAHhk+jXKQzQAu0QFGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAEAAAAADoEADAAAreZwTAAAEABJREFUAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAzgSbp69eo777yzf/9+I5kuXbo0derUkSNH3rlzx3j2HTx4cNy4cX5+fsZ/W1hY2LFjx27evJmstfbt2zd+/PixY8cma62oqKghQ4b4+voaAAAA/xICMODQBg4c6O3tff78eeMJ2b1795QpU5YtW5asta5fv16nTp1BgwZt3749KCjIePZt2bJl8ODBly9fNv6rAgICOnTokDNnzurVqxexWLt2bVJWXLVqVf369UeMGHHgwAEjOW7fvj1mzJjJkycbAAAA/xIXAwCenObNm8+fP79ixYrJWmvv3r337t1T+bd79+4G/hHt2rXbuXNns2bNateurQsQEydOVB5eunTpQ8/dunXrYmJiVq5cWbhwYSM5smTJsnr16uzZsxsAAAD/EgIwgCcpRYoUtWrVMpLp2rVr+lm8eHED/4irV68q/bZo0ULlerOlcePGdevW9fX1fWgA1slKmTJlctOvqVy5cgYAAMC/h1ugAcQvPDz8iy++qF+/foECBV566aUVK1ZYZ0VFRX399deqHBYpUmTQoEEHDhyoVq3a77//rln79+/X9Ny5czU9fvx4TR8/frxnz54FCxZU+Jk0aVLcHXXp0uX777/XRJ8+fbT87du3Nb1t2zatpe3XqFHjo48+8vf3Nxc2t6k9qlzp4+Oj0rGCnFoWLVo0dOhQRWjtZeHChUFBQW+++aZ6XqFChYQ+qhoWFjZs2DClvnz58rVs2XLNmjUJ7UKNKl02adJEL8uXL//2228HBwdbh0KjVLVqVc1q2LDh8uXLY+3i9ddf11Fog9qs7azp06e3atUqf/782suSJUus7Xfu3Ondu3epUqUKFSqkIu3Jkyfj7Xzi4/PQMT927Jh+li5d2tpStmzZP/74Q5HYfKkNDhw4UAer43rhhRfMwXnw4IE2vnHjxoiICE2o5wktKeZ50bnQO6Ro0aKjR49Wo1rUWwMAAOBfQgAGEI+YmBglt2+//dbb21s5R4FKMdX6GdFPP/10xIgRkZGRzZs337179zvvvKMFzOCqZKjp+/fva/rmzZuafvXVV5UD69Spc+PGjXfffffKlSux9qWMqqRqWMqDCtWurq4HDx5U9tuxY4dyqdLphAkTtHeFLus2FZVVh1TgTJMmjbKuWhTItZbKmHfv3lWA7Nat2+nTp9u0aaP+KHGtX78+7gH27dv3u+++y5gxow7wwoUL+rlq1ap4d6HI1759+8DAwB49eqjy+euvv+qgzO18+OGH2kjNmjU14eTk1Llz582bN1v38t5772lrytiXL1/WAtagq4sF/fv31xF179791q1bL7/8snVsFUHVjVdeeeW11147ceJEgwYNrOHW6qHj89AxL1GihH4qG2/dulVDYTZqXwqo5rRGY9q0aQr2uvahznfs2FFXBFT41QnSiGkBTVSqVCmhJdVunpfhw4evXLlSm82TJ48a1aLiswEAAPAv4RZoAPFQYvT19VUVUcFSL1XzVKVRNdXDhw8rU6map4rf0qVLlYiio6MVxhLZlGLVxx9/rInFixcrl6pG2qtXL9sFBgwY4ObmpiSm9sqVK6tFmc3Z2VnbN1PTDz/88Nlnn82aNUsRy1ylevXqI0eONKfNdJctW7Y5c+ZoQltQ/FPuVdpMkSKFInrTpk21caVB252qUDl//nzrAaqGqRyu8ql6G3cXly5dGjJkiMKql5eXXip2rlu3ThVyZXV18rnnntPlAMMSBZWNFYOte9E2zeK2grG6oZSrn+qbLhk8//zzs2fPVg81Xa9ePR2ySs3nz59XbVbj/NZbb2mtRo0aqfKsmrC5X6uHjs9Dx1zDpYK5LmQ0a9ZM0wqoCt6q9uuIDEt21bS6YY6G+qzqt3pSpkwZlbs1GhcvXtRE4kuaO0qVKpWOOnXq1AYAAMB/ABVgAPEwv8dI2cl8qTrwCy+8oNqdCoyHDh1SS6dOnZR+DcuHflWuTGRTWtGcUJlUP1W3NBKlwrJ2oYXNdCddu3bVT9tnDitPxlpLMcycKFasmGG51VYds75UlTXW8ubWVHq1HqAqxrbf0GO7CwVUZTxPT09VOI8cOaL6dmhoqPl1Tblz59amvvzyy6NHj2oBhXklZ+uKSoPmhJKwu7v72bNnNa2LCKrWquitTelIT506lT17dkXfBw8eZM6cWdcCZsyYoSCtfRUtWlQbzJs3b3LHJylj/sYbbyip6hQrsevAVUPWRQ1VwjVLeVUJXJlWXdKwhISEGJaPDcfdyEOXfPHFF0m/AADgv4MADCAeJ06c0E8fHx9rixnDTp48acYblQ2ts2yn40qfPr05kTZtWsOS34xEKYOFhYXZpj6lU5VAjx8/bm1Jly5drLU8PDxsX5qVTMOSz+PbiaHYafz9AFNYxLsLZV2FTC1cunRpRUrzEoBp3LhxlSpVUq1YFXLlVVVizVuRTdZj18UC5UBVy42/xvbnn3+u/Rfzc7Nq1zK///67DlYld+2ratWqM2fONJI/Pkkcc9WuVaBWDt+4cWOrVq1US1cqNmepnlyxYkXtRUfXunVrI2GJLxn3TAEAAPyLCMAA4qHCpmH5el5rizmtdsU846+nKJmUoIwnJ0eOHAqitrsODAz09/c3u/SkmOXTJH4etXfv3itWrPj888/37Nmj/Gn9ALC5ncWLFysSjx07Nl++fD/88IOqwYlvLVeuXIblvuULf6cCrNrr1q27a9euzZs3K0sHBQX169dPdVrb1Z/I+KiIrbhrBnIpWbLkhAkTVIg2K//qwGuvvWYemmJ5Qg/iStaSAAAA/wUEYADxMJ8PbH3yc3h4+Lp161TNU9RRWFJd8aeffjp8+LBhqQkPHz7ceHJUyy1cuPC2bdusD39auXKlflo/VvpEmAe4dOlS86UOsHPnzgMHDox3YcU8FUu7deumiKtaq5kSDcsTv1atWqXSa86cOTt06LBgwQI3N7eDBw8mZdfK0l5/uXjxooZXpWOFUm3wxo0bxYsXf/31183nV5vjbPVExmfOnDmlSpWyHr5heZx1aGio+eVGu3fv1k9l72rVqmXOnNm24h1L0pcEAAD4L+AhWACMUaNG2d6q2qBBg/r165crV27YsGEBAQEFCxZUXlLJ1wy6qVOnnjx5ctu2bWvVqqW1VEtUDXDcuHHGk/Puu+++8soripRdu3ZVqfPHH39U8tQejSenXr16yrQ6IlVZlfrmzp2rGGk+sCquEiVK7Ny5U5lfS/r6+lpvNnZ3dx80aNCDBw+0Hc1avny5+ezlxHedIUOGHj16/PLLL4qyWvj06dMjR45UXb1ly5bKwDpq7e7DDz9Mnz69GYBr164dawuPPz6tWrXSydWJU2RVcr579+6vv/6qn++8845hKQjr59dff63B8fPzM7/BKF5JXxIAAOC/gAAMwFD4sX2pUl7lypX/+OMPFSGVbAMDA318fD766KPevXubCyi2qYC5evVqZZ5GjRq5urpqMdunHz+mFi1aKIuOHz++b9++CpkVK1bUS29vb+PJUficOXOmDnDChAk6QKXNoUOHWh/6FYui78svv/zJJ5/oGJU5VSvWWoblY8MapQEDBmg7MTEx5md31eeH7t18avSiRYsmTpyobb7wwgvffvutYfmg9W+//fbBBx906tTJsNztrGsNuhIRa/XHHx+F8LVr17766qvmfkWd/+qrr8yHRdesWVPF8DFjxnTp0iVXrlzfffddQuk66UsCAAD8FzhZvwESgN24duN29qwZjSchKipKhcFMmTJZWyIjI2fNmpU1a9a6deuaLSpgfvnllyqNPv/888YTpV17enpan2j1NOgAb926pcN56JLqjJubW7zPNA4JCbl371727NmNZLp27ZqyqDYbq1119ejo6Idm2scfH39//1OnTumSR9yPEJsjkyVLlode2kj6kgDwDHmCv0wB/HcQgAE79LR/Z7dp02bdunWql5YoUWLv3r2LFy9W9tu4caOqkQYAAHaBAAzYJQIwYIee9u/soKCgr776Shn48uXLefLkqVix4pAhQ7y8vAwAAOwFARiwSwRgwA7xOxsAgMfEL1PALvE1SAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA7BbD/wD79/3t22JjIzatHVPWFi48fSdPX/p1JkLBgAAAP4zXAwA+A/wDwj64JPv6tSs1KZFA+Oxbd62d+OW3ff9A5xTpHB2TtG0cZ2qFcuoPSw8fNa85SWLF3JzczWesr0HjoWHRxQq4GPYi6CgkD0HjlSv/JyG1AAAAHgGEYAB/Cfs2X8kXdo0+w8ea928gZOT8ThWrd26av2213q0z+eTy8nJ6cLFqxOnzomIiKhVrYKBx/DAP2D2vBWVypd2dn7qlw8AAACeBudPPvnEAGBfAgKD03imSsqSMTHG0pUbZ89fsWLN5qvXb+bPm9vVNaXavx31q2dqjyUrNk6ftfjYiXPp0qXJlCG9ucrlK9f/8F2mIHTy9Hlv77Te6dOpce6i1Wo/cPjEtJkLT5w65+mZOlNGbyM5Zs1d3qZFwxOnz+fOmdU7fdp79/1HfDfxuTLFzVJtRETklyMn5MubK62X56Zte6bOWLBo2bqjx8/myZ09jWfqvx9RzJiJM7q0b16sSAEnS5JOl84rc6YM167fLFIon7azev22YkULaAvzFq0+e+FysSL5XVP+echBwSE6qJm+y/buP6r1cufMpsa79x6M+H5SrhxZJ031XbpyU2BwsNpTpkzSpcOjJ85ERUXfvH134q9ztu7YFxoaXiBfbrVfveb3w9hptar/L43vP3R84ZK15cuV0PSdu/dnzF4yw3fpgUMncuXM9t3oqcWL5E+dOsFTOeyb8Xnz5EjrlUbT9+/7D/9uYpWKZVxcnHX6dB5nzVvhu3Blw7rVIqOi5ixYOXPO0g2bd2kAl6/erHHImT2L1tp34NhM36ULlqy9cvVG3jw53d3dzLOfKpX7vMWrtdYNv9tZMmXw9Ex19PiZyb/PCw0N0/jcunOveNECBgDYtaT/MgXwDOE2NsChLVmxYeeeg80a1+nepXVAQNDPv85WZjMsSWzWvOW5c2Ub8FqXPLmyTfp1jjKPYblRedwvs5Qn+73aKX++XBMmz9aSag8ICFy3caf+UOjTo32GDOmn/D4vOjom6d247ndL21FAfa5MsZ17DqslfTovRd/DR0+ZCxw/dS4kNEyZ7fjJc/MXr2nSoFb/Pi8pfo+b9EesTd26fS88PEJ9s20sWaxgy6Z1rS+Xrtj4QsNaXTq2uHX7rjKeYYnNU36b5x8Q2LNbm7q1KysbHzxyUu1RUVG379xbtmpTy6b12rRosGffkR27DhhJptCo+vOrL7drVK/GqnVbt2zfq0bFUXXSukxYWBsbpYgAABAASURBVPg9yweVIyIjJ0yZHR4Rodp1g+erKY1r11o4ke1rAa1lTkdFR+ulDsSwnL4FS9ZoMPv27KCXc+avOH7ibIfWTbp0aLF954FTZy4ox6r91JmLv89aVLlCaZ01rf7zlNnm7rS6Brly+dI9u7a5e+/+gqVr1ZjPJ2frZvU10a1Ti7q1KhsAAADPIAIw4LgUltZt2tGpbdPSJQqrONm9a2sVJy9cumrOVYmvfp2qeXJlb9W8vqqRO3cfVOOuvYeyZPZ+sVk9tTeuX1Ml2V17D5vL58yRpWHd6j65c7Rp2UAp7uz5S3H3GBISGm9Pdu05XLpkEWfnFOVKF9t38Fhk5J8xrHzZ4gePnDAXOHTk5HNli6ui65Mnx+cfDdAs7ejFpnVVoY31mKtrN26qjOmVxtNIWKN61YsWyqejrlHluXPnL6vl0pXr5y5e6dGldf68ucqXLdGkQc2NW3ZZl2/WqHahAnnKlSmmrHjor0yelONKkcKpW+eWeX1yVipfSlcZNmzebSTs3Pkrd+7c6/5nH3KXKVWkScOaxmOoVa1CzWrltSkN5radB17q0Kxk8UI6ih5dW4eF/u8ZYGs2bKtXp2rVSmVV+32504vKzxf/OvtVK5XR8RYq4NO4fi2V9FUx9vBwz5olo2blyJ41g3c6AwAA4BnEZ4ABx6X6p4qlimfmSw93t2xZM1+5ekMhUC+VnaxLqkXZWBPHT55V2dDXUjWVI8dOO/31gV2ta06kdHHJkjmj0lTB/Hlsd7dx627fBauGffxGWq+/pVPVLDdt29O6RYP7DwJSp04VHRV1+NipsqWKKoguW7kpLDzCNaWLSsF9e3U0O6lysSqxd+498PcPUEto+N8e6eyZOpVqqqpkujg7GwnIljWTOZEzR9bAoGBN6Ki11uLl6832U2cvmsdryvrX8jmyZ9kepwJ87frNL7+d0KNLm7Kli8aapcsEGg3rGM5btCqRiu7VazeyZ8vi/tfTuWzH/xFY+6zhiomJ9sn911n2cM+e7X9nSgXqO3fuBweHmC+DgkOuXPUz95sty/9Wz5Uji9KvauOEXgAAYAcIwIDjUrBRerV9oq+Li7P1llprcrNtj4yMdnNzTZfOy2x/oWGtzJkymNMpUvz/duJ9iFU+n1yqoHrG+UTr6bN/3pE7fdZia8vCJWsVgL3Tp82ZM+vxE2fTpEml3KswqVmqD2vJYkUL5MyexTud1579R2NtLUe2zKps37x1J/tfgTwua1et6V0XAgzLp4XNl2VKFqlQrkRMTOzlU8T3eK706dNWKl9aBfC4s1z+PobR0THmHea2Yv7ajbuHe0jo/1eSQ0PjryonkbWjGjrtQfHexcXDbAm2qVdnypje9mzqioA5/f9n8zGfSAYAAPBfQgAGHFfWLJmUc1TANLOlstm1Gzcb1athzr109Xq5MsXM6ctX/ixOaqJQgTyeqT3q1a5iJF+uHFk7t2sat33nnkNVKpbp1PZ/s9SHr76fGBQUkjq1R4WyJQ4eOZEmjedzZUuYczdv21uzWoUWLzxvWCrYvgtXxdqaKpyZMnpv2rqnQ+sm1saVa7ecPX+5b8+OCfUtR/asSuZ1a1W2RmKFxiRGPyXMLh2axzvr8tUb1u2ouJoxQ3o315Rurq7R0dH37vuntyTPB5Y6tuTJmc3v5u1LV66bz9/avuug8TC6GHHr9j1dWdC06ufxLqOd6vrBrr2H6tSsZFi+nVjjZs4qkC9PkUL5ateoaCTnkNV5AwAA4NnEZ4ABx6Xab/myJWbNXX7rzr2g4BDfBStTubvnzZPDnLttx/5jJ8+qSrxj98HDx06XK/Xn/b0qzB4/eXb7rgMqCPvdvPP51+PWbNhuPAZtf/+h4+pGihRO5v9U2lVVee+BP0u7ZUsXO3bi7P6Dx8qXK24u7+mZ6uLlayEhoYGBwebDmeJSHN26Y//qddv8A4JU2lX/V6zZUqFcyUS64ZM7e6pU7rPnr1Dw1v8mTfMd98tM47Hdf+C/ZMV61bevXPNbuHRt+bJ/HkXmTN6qrq/fvEvtSvvbdv7vnuoc2bPUqFJ+9ITp02cvGT951oWLV6zb0Yk4ZHkoVywaK10+uHvvQWBQsEJ+Qt3QxYX5S9ZMnDrntz8WzZq3wnp7c6XyJZev3nzuwmVl2uOnzr394QiNrZGwDN7pVMc+cOi4+SFtAACAZw4VYMChdWz7wrQZC4ePnBAZFZUrZ7bXenZ0++szqC80rLVgydpr1/280ni2b9XYxxKMs2fL3LVTy0XL1k2fvVjV42qVyz1f87EeCHzwyEmlwUIFfGwbnytTfOfeQzWrlfdKk1qxMCAwyJrZmjasPWHKrEEfj3R3c1WvDhw6EXeb+fPmeql9MwXghcuUkJ1UodWSFcqVSKQbrq4pX+vRcdrMhR98+p0q4YUL5n2584vGYytXupi/f+DAj75RbixTqqiG1LDcXfxSh2Z/+C5bt3F7powZKpUvZQ23bVo2KFI43+kzF5Rsq1Yq++b7w812HUv+vLlLlSgca/ttWjYcO3Hmx8N+Ut27eeM6R4+fibcbZUsXTZeu25Fjp7VrFc9/mTbXbNcuVIie+OscjXAqD482LRqY9wIkRO8NFf8XLl2nQN6zaxsDAADgWeNk/fgZALtx7cbt7FkzJn15FQBVibVGX/nw0x86tX2hRLGC5q3IcVdRxdjdzc3288P/JPXKw8PN9lPH8XrgH6BaZbKe3hQWFm44OblZvgz5SdE2UzinsP1MtWG53zgoKNjT5hsmw/4sVh8oW6qYYr9hecCYarYjh72bMqWLTkePrq3Nh5PFpfKv4quK50YCdu09nC1LxlyWO6u18ODPfujXq5PtRQeV01OnTpXEW77V85iY6IcOPgA865L7yxTAM4EKMIA/a5K26ddWvOn3z/ZU8bf/MxLqVSxpvdIYyZTQODyOeLeptGmbfv9czDXlkaOnN2zeVap4YZVkDx89Va92VaVfBeOw8HDrrelxxX2uWCz3H/jPmb+iXJniKV2cDx87nc8nV6xHTMfqSeLUcycn0i8AAHgmUQEG7NDjX7TetG1PscL5M2ZIb+AfpP8g7z1w7Mq1G+5urvl8chcq8Of3SKlme+joqaoVyxiP4fTZi/pfRGRkrhxZy5QsQv0WAB6KCjBglwjAgB3idzYAAI+JX6aAXaIIAAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA3bIxdk5IjLSAAAAj0S/RvXL1ABgdwjAgB3y8HALCQkzAADAIwkNDXd3dzUA2B0CMGCHUnm4hYVHBAQGUwcGACBZ9KtTv0BDw8JTp3I3ANgdp5iYGAOA3YmKigoKDtUF7MioKAMAACSNi7Ozar9Kv87cAg3YIwIwAAAAAMAhcAs0AAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIfgYgCwR1FRUcEhYSEhYZFRUQYAAEgaF2dnDw+3VB5uzs7OBgC74xQTE2MAsC9Kv3fvB7i5ptSv8JQuXOcCACCpIiIjdfk4LDzCO10aMjBgfwjAgB0KCAzWP22vNKkNAACQfPwmBewVnwEG7JAuXav2awAAgEfi7u4aGhpuALA73BsJ2KHIqCjufAYA4JHp1ygP0QDsEhVgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMID/efDgwdmzZ42nafny5RMnTnzoYgcPHhw3bpyfn5/xGLZt2zZw4MA7d+4YybRv377x48ePHTv2SfUkrlu3bmmz+/fvN56mJI72P8Df3//o0aMBAQFJXyUwMHDOnDnffvutToGRHI983gEAgCMgAAMwFDNq1KiRL1++ChUqFCpUqGvXrpcvX461zP379zNnzuzt7Z2skLxo0aItW7ZYX06bNm3IkCEPXUurDB48OG4fkmXevHmTJ08+cuRIstZatWpV/fr1R4wYceDAgSfVk7iuXbumzW7cuNF4mpI42k/VqVOnqlSp4uPjozdYnjx5atWqdfHixaSs2KpVq969eyvDJ/fqw6OddwAA4CBcDACO7ffff//iiy+8vLw6dOigoLJw4cIlS5ZcvXpV2cPV1dW62OLFiyMjIzWxYMGCd955J4kb79OnT/ny5atXr2784z755JMWLVokd9fr1q2LiYlZuXJl4cKFDTweFbobNWqkWq7eBhrPQ4cO/frrr7q+oNJ36tSpE1nx3r17e/bsadmypaKskUyPdt4BAICDIAADDu3YsWPvvvtuhgwZVOrMkiWLWgZZ/PLLL0OHDh0+fLh1yfnz52fPnj06OloTSQ/A/yJPT09VHY1kUm02ZcqUpN8nYv369ffv3//mm2969OhhtugKi95Xa9eubd68eSIrXr9+XT9LlChhJN+jnXcAAOAguAUacGhz5swJDQ39/vvvzfRr+uyzz/LmzavKsOKu2XL79u1Nmza98MILvXr1UmY+efKkdWHVjV9++WXryw0bNlSrVm316tXbt2/XhDa+b98+Tfzwww/WZS5cuNC2bdt8+fI1btxYyz+0k1euXFHkrlChQqlSpV5//XV1wDrLz89v4MCBZcqUKVeu3KRJk2bOnKl9HT16VLNUPNT0+fPnNf3qq6+qnKh21QaVwWrXrr1169ZYe3nw4IGW37hxY0REhCZ0XHF7sm3btp49exYpUkQR66OPPvL391fjsmXLtPzOnTvNZcz9aknz5dSpU/Uyoft+VRE1j0tHcePGDbNx/PjxWuXAgQNmTX7v3r1qvHz5snmklStXfv/991UjtW5Eo92kSRMtqWL722+/HRwcHHdHISEhHTt21GJmtvT19W3QoEGePHlUKdXZt55oW+Hh4V988YUKtgUKFHjppZdWrFhhnZWU8TQsl1f0U0dnbdFbZdq0aYUKFUqk5+pPly5dNDFhwgSNw6pVqzR95syZTp06FbXQgegtlNBY2Z53AACAWAjAgEM7ePCgs7OzspBto4eHx/PPPx8UFHTu3DmzZdGiRcpIzZo1UwY2LNVg68JKJtbFJCAg4Pjx40qG3t7eykXaePr06TVRsGBBc4HIyMhXXnlFNedKlSrt3r1bUUf5NpEeKpe2adNm1qxZykh169ZV2tRLcxUltG7duinwKEvXqVPnxx9/VAbW3hX2DMv9t5oOCwvTtPLn/v37e/funTt3bkXlQ4cO9e/fP9aOVPhVPzNmzKhpTah7cceqXbt2O3bsUPbTHhXP1Hml5WLFimlH1o86a6z0cs2aNeZLZTz1RPuNe2gLFiwYMWJElSpVFER1FN27dzdk0TFUAAAQAElEQVRvMr9586a20KdPH5WjGzZsmCZNGo1n+/bt582bp5dVq1bVtQkduHathZXYNSswMFBVVhWulaiVTmPtyBzzzZs3q/qaLVs29VDL6BTopTr/+eeff/3117FWiYmJ0bWGb7/9VudR2VL90cGqcmvOTcp4Gn+VcHU9xfoO0bE0bdpUVxAS6bneKroooAldhdGJ0KUZvQd06rXH1q1b16tXTxcXGjVqZJ7ZuGNle94BAABi4RZowKEpuihv2H7W16RcZFgin6p/hiXxKggpqinQqnynlypCJr5lRRrVD6dMmaIYowlre1RUVL9+/RRiNa3cpQSoSGm+jJdi7alTp5SOzJtmFZmUoIYNG6bSn4Lcrl27tDVFOMOSeJWXEtqOkrkWU07W9HvvvTdx4kTVJ83DNKVKlUr9vHTpktKdbYet3n33XR3+0qVLlVf1UjVtRTslc1VHlQMV5tWo3KUuqUqpgrm5ltpr1arl5OQUd4PakRbLlSuXYbnz/Jdfflm4cKEynjlXtdmRI0ea0zreEydOKPyr/KuXysDKisrPKqQrBg8ZMkTh2cvLS7MUztetW6dLA7bn9M0331SlXV01U70OQf1R5NaVDq2orbm7u8fq2/r161UlVrnbzMYqz6rore0cPnw4ieNpdkahXaVjXbxQ6NUR6URXrFjRnJtQz3V+9Z6ZPXu2sq6K3pp18uRJ7VqhVwOrlxr/L7/8UnnYHI1YYwUAAJAIKsCA41JRNzg42NPTM+4ss1HVOcNym7Fqbo0bN1b800vlk9OnT5u3GT8CRS9typyuWbOmftoWkONSzkmbNq31I6PKPIrW5iOald71U7VQc1amTJkS+WRp6tSpFUTNaXNCwdtIMhVRtTt12Ey/0rVrV/00e6INKuiqarpnzx4l/I8++kjtKtsq4iqWW/cbi8bBTL/Sq1cv/bQd1c6dO1unzfurFdEPWZj1ZPNblJQSFQ51vi5fvnzkyJH79++HhoZavwRIeVIpfcaMGbqCYO2GDkFdHTBgwNatW5XYX3755bj3e5sbt46tLn+o+H/16lVVXI0kj6eLi8u0adNUr27SpIkqtKrPK8Qq4Zsl+sR7bktn/K233lL61VtR1V3zbWl744DtWAEAACSCCjDguFKkSFG8eHGVFhWHYpUobT+9qUKr+WBk8zZXM/Kpsqd1jeRTZdL6BOB06dIZlhyeyPLqnuqBti0+Pj4qKiqRKlPpZdasWa2zsmXLltB2lKJ1vLb7VVI1kuzChQvKirY9USZU6VJ5zLAkwN9+++3MmTOq6FaoUEF1UR3m9u3bzW++TSgA58+f3zptbllXFqwtZidN5idsY9W3NTL6qcSocKgCrxkLY9GJMz99bWZOk8q5irJzLVT71RUNhWTbYbRuXEMdq4cqxmbOnNlI8ngqAzex0Fles2bNV199pdry6NGjVfFOvOe2tGWz2G6N37HYjhUAAEAiqAADDq106dKKH3HLuSo5qt5r3tFqfuJXlbq9FubnVOfMmWNdWIU76/QT/+ylypXmc5us9DJHjhxKVuYNsbbPxHp63/6qPSrv2fZE46Yar1mMNSOuisCbN29WTFWqVKVaYXjXrl3KjdYybyxmgDeZT8DKmTNnvEs+99xzyvYX/k6RW7N69+6tywGff/65is9qjPsB4AkTJqjzqrVanwul7o0ZM+bUqVOqDCv9KgabD52yZR6X7fGa0/F+mDkhOijrt/hq9Bo0aKDOaHrfvn1J6bnVKIs2bdpoSHWVQdVsAwAA4JEQgAGH1rBhQ/187bXXbEPs+PHjd+zYUbduXTc3N5UKNf3iiy8qtGyzUGGzT58+V65cMUvB2bNnVyaxPpTYfGSxlWKq7fOKH4Gq0ApR5h25huVzsyq6Krcblk9+6ueHH354+/ZtlTqXLFmiurTxdHh4eBQuXFiHbz75WVQS188yZcroZ4YMGUqUKLFx40YdvhmGFYPNAJzIx5JVETVLxLJw4UL9TKiorr1oEO7fv+9loQS7bt06s1ysXSged+vWLV++fJplHSiTzmDbtm0nTZoUHBzcvXv38PBww/L0KR2IFm7UqNHPP/9ctWpVXTiIVYc3R9j65GetqD2q0Gq9Azwp3nvvPZ0+69OtJSgoSD/Nh2Al3nNbuhyjN9LgwYM1yCq8m288AACAR0AABhxa/fr133//fVWAFXdHjBihomLXrl2HDBlSoEABxWDjr2CmOqHtWs2aNTP+qgyXL1/esHwI8/fff//0009jRdAaNWpo48OGDVOVz3gkKgymT59eMUnFQ5X+Onbs6OTkNGDAAM2qVKnSoEGDlMwVTVVo7dev31P9LOi7776rKmiHDh3++OOP77///p133lFyU7w05yroqiqunFyuXDnzpQ780KFDCd3/bFhSpaqakydP1oCrEOrj42MObFwqlioial/Tpk1Tzu/UqZPS7N27dw3Lk5aVJH/66ScF8l69epm3ZMeigVJ6PHjwoHaklzNnztQJ/eqrrxTXVQRWnlQnrfczm/TG0IHoxA0fPtzX11clYlXaFWiN5DCfkq3Cr95LytJjx45t165dypQpzbdTUnpuKlmyZGRkpMZ/1apVX3755ZQpUwwAAIBHQgAGHN27FioAfv3112+88cbmzZtVFp41a5b5uUqlXFURFYdsV1Ggypgxo2ap7qoIqvCsJKNQumXLllhPh3799ddVpx09evQj12YVxRXYsmXL9vHHHytzurq6Kv+YX5Mj2p3qqB988IH5SCclYcPynC3jKWjRooVyrwraffv2/eabb1SVVeJVQdKcawZdHaz5qDBlNpWF1RNdAkhog0p9CoEaQCXDsmXLKtymTZs23iU1CEqqOiMaAV2hUFYcN27c888/r1kKkEWLFv3kk0+Uij09PRO6BKAzq+VV7122bJmudLRq1UrHotOqDdapU0dbi7W8krxyvmK8ZukahKrNH330kXK4kRz16tXTRpRdVaVX97QFbXbBggUq/Ca956KT26RJE70NdPVB77HPPvvMAAAAeCRO+vvVAGBfrt24nT1rxmSu9OdXqkqxYsViFQOTIjAwMDg42Hw8UlwqA7q4uDxmLg0KCoqKijK/Msd09erVDRs2lC5d2vy+WcPyVTrbt28/e/ZsvI+2flJUetX243531KMJCQlRKTih6BtLkEXccVaXdJ3C+nSxpNBgqqCdNWtWnZrEF9PGM2XKZDwGPz+/ixcv5s+fXxcFYs1Kes/1BgsNDbVecQCAp+3RfpkC+I8jAAN2yEF+Zyt1K/3qP2Ivv/yyMqHC8KpVqzp27DhmzBgDAIDHQwAG7BIBGLBDjvM7+/Lly59++um+fftUSFTtulGjRv37939Kt0ADABwKARiwSwRgwA7xOxsAgMfEL1PALvEQLAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAYe2Zfu+W7fvGngKoqOjr/vdioyMsm3ce+DozVt3jKfv9p17u/ceNgAAAGDDxQDgqKKjY9Zt2pEypUumjN6Gwxv2zfjrN26N+fZj47E98A/4Y+7yU2cueLi7BQWHFC7g06HNC+nSptGsFau31KtTJXOmDMZTduWq3+IVGyo8V9IAAADAXwjAgONKkcJpyHt9DfwZF2+EhoZp4s7d+xm80xmP4f59/+/HTitUwOezwf1Tp/KIiIhcuHTt1z/8opcuLs4GAAAA/j3On3zyiQHAvgQEBqfxTJWUJX8cN83Ly1MV4LmLVl++cv3A4RPTZi48ceqcp2fqhMrCd+89GPH9pHw+OSdN9Z23aPXFK9fy5MqeKpWHZmkjly5f37H74NQZCwoXzJsurdee/UdVC9Vi585fzpgxvVrMjWzYvGv6nCVLlm8ICgm5ev3m7n2HSxQtaG45S6YME6bMPnL8dIVyJVU+nT1vxUzfZXv3H3VyMnLnzGauvnbjDvVzycqN5y5cKZg/j7ubW0KNSbR6w/ac2bNky5pRfdC6avlu9NTUqVNlyfy/Uu0v0+YGBYXoSM+cu6TpuQtX7j14LFUq9+xZM8fa1OZte/1u3XmtRwc315R66eycokihfH43b6dP76UisObmypl11bptM3yXHjh0ImeOrGZlOCbGWL560x++y3QUd+/7FymY10kHbBjfjvpVe5m3ePWcBStv+N3W4Hgm7cxq4eOnzmXJknH8L7OWrd7kd/OOzoiZwFXrzpsnR1qvP/eruD78u4lVKpbRrMioKO1l5pylOjtpvTyXr96s9K5hMQDAISX9lymAZwifAQYc2p27D8LDIjQREBC4buNO/abv06N9hgzpp/w+Lzo6Jt5VoqKibt+5N2P2kjo1K77Ws0N4eISSsPlJV21k7YbtKnv27t4hS+aMx0+e+/2PReXLFX+9d+dMmTKM++UPxUsttmf/kflL1tSuXrHfq53CQsPXbtjhHxBo3bLSWpMGNVs2rRsTEzPlt3ma1bNbm7q1KytFHzxyUosdOnpq1dqtL7VvNnDAK4qXv/2xKKHGJNKR7tl3pFyZYuVKF9/11+dmc+fMuu/AUXNaOfzA4eOFC/oEh4SOmTijeNECb73+coWyJTRKt+7ci7W1K9f8FC9VXbe2pEiRonP7ZgrP5svla7aULF6oT/f2irI/T5ltNq5Ys3nnnkOtmtfv1LbpiZPn5i1e89cJuj9/8ZrK5Uv37Nrm7r37C5auNZIsMCh42apNrVs06Nax5cVL16bPXmK2a5AjIiPN6ajoaL3UUGt6zvwVx0+c7dC6SZcOLbbvPHDqzAWzKg4AAGA3uAUawP/kzJGlYd3qmsiRPcuO3QfOnr9k1kLjVa9O1efKFNdEjy6tB3/+49nzl5UP9dInT44Xm9Uzl1m3aUedWpVqVi2vacU/FYd37T3UqF6NTVv3akfVKpc12y9fvWG75TYtGvjkzqGJi5evnbt4ZfjQt9zcXA0j14MHARu37CpdovDVazcyZfLOnze3SqSvdG4VGBikheNtjCUkJNTDwz1u+4nT51xdU6q8rCQcHBxy4dJVdaB82RKjf54eHR2t+Hrk2Okc2bJkzpRBuXHoe33Tpfuzjp0rR9atO/efv3AlU4b0tlu7duOmCqpGwjRulcqX0oS7u9vwb3++d99fhfHV67b27dWxQL4/B7xLx+bf/jSlVbN62rVeVq1URuHcsqrT2EkzVJVNmfJv/+lWTNUQmRVjW2Fh4Z3bNs2WNZOmVdH98tuf27Vq5Jk6/mqGLmFs23ngjddeMvuQK0eWDz753gAAALAvBGAA/5Ptr7t5U7q4qH6rwqAC8Iw5S1Q8NNu906ft3b29OV0gX25zQikue9bMV6/7mQE4W5ZM1g1euepXs1oF68t8eXOaWVdhVTVea3v+vLlu3/3/Oqp1C1eu3lCEW7x8vfny1NmLV6/5aaJMyaJr1m//6vuJpUsWKVOqiLl8vI22rl2/+eW3E3p0aVO2dNFYs7bt2J/PJ+f9k93uCwAAEABJREFUBwGGJcArByoAayJVKo/TZy8WLpj30JGT5cuVMEcmhbPzjt0Hb/jdDg4JuXX7rnoYa2tKmErRRsKyZ/1f3xSq9VNZXZk2LDxi194jBw6dMP6shEdHRkXduHnbvL/aeiwKpVpSJXHbTymreDt0+OhypYu1b9U41o6U9rNZ95U9i0KyBqFQAZ94e3Xd71ZMTLRP7pzWdbNny2wAAADYFwIwgP8x640mazGxTKmi+XxymdPKutYFbJ/n9OfHRyMi/1rz/+uQqpfaLqb0GGFZzN3DPSQ01NpuO227hfDwP+/NNsutf/akZJEK5UrExCioZ/r0w/679h0+evz0khUb6tWuoppzvI22W02fPm2l8qVV5Tb+Tgl2/6Hjmthl86VBCpPOzilUBD545GS+vLmOnzrXpmVDtfvdvPPdmF9zZMusMmn69F5GfBQ1FSaNhFlLtfp/czI84s8jzeidLoXz/07BCw1rWT/D/P/nJU6N19xa1YplrdcjbKX8+zO3XJydI6ynKQ4PdzeNrUbDxcXDbAkOCTUAAADsCwEYQGKKFc4fb/vlKzeKFflzVnR09LUbN+vWqhx3GVUsVcUtWijfX6tcz5Ujqyby5MymtFm21J+V2MDA4CPHTuf1yRl39RzZs6qaqi1bE6MSmjnp6Znq+ZqV9L/9B49P/n1us8Z1lLTjbbRuTQGvS4fmcfdy4PCJjBnSD32/n/kyOiZ68Kc/HDtxpmTxQuXLFR87cWbRwvlzZs+S3pLD9x08qoUH9OliLrxq7da4G8yTK/u2Hftu3blnvTU6JDRs+Lc/v9S+eaEC8d9SnjVLRqXcEsUKWouu1iNNihYvPB9vu39A0AP/wLRenoblYVdBwSE5LNtXKfjW7XvmdQ2z7i06rlQe7rv2HqpTs5Jenj1/iS+IBgAA9oeHYAF4FIuWrbPcBhzqu2CVSov546tAVnyu1Mo1WxSlVHjcvuvA8ZPnzNCr2uzpMxe+Gz111rzl346ekjXO7comn9zZU6Vynz1/RVBQiP43aZrvuF9mqt13wcqRo6YEWW4zvnPvfvp0aRV04200kmDnnkPlyxZPkcLJ/J+OpVzpYjv3HjL+vFc5s8qwS1duVCnYXNgzderbt+/duXtf1enlqzcrYcbdoBYukD/PL9Pmnjl3MTo6RjFy0tQ5zs7OBfPnTqgP2ulzZYvP9F12+869yMio1eu3vTd0ZCLV2iTSZmfMWaKIq/9Nn71EidcspyvP66jv3nsQGBS8cu0W6/Kd2jadv2TNxKlzfvtj0ax5K7IlcF4AAACeXVSAATyKhvWqfz92alBQsOJrz25tPNzj+c6hKhXL3LvvP2nq3IDAwEwZM3Tr3DKnpQKcKaP3+2/3Onj4hOqT3V9qdfDIqet+N+Ou7uqa8rUeHafNXPjBp99FRUUXLpj35c4vqr1B3erTZi54f+h3rild0qX10hYSanwoJcNTZ863bl7ftrFcmWKjf56usq0OSkVgBWBFYnNWxedKHj52auiXo5xTOD9fq7L1a5lsWZ7C9aIy5NhJfyjExsREFymU7+3XuzklWtLt3Lbp1BkLvhw5ITwiInOmDH26t4/1pKtHkDZtmpLFCn46Yoy64ZMnR8+ubcz2Ni0bqrL98bCfPDzcmzeuc/T4GbO9bOmi6dJ1U0Fe5WhVlZXhDQAAAPviZH77BQB7cu3G7exZMxpPh0qanwwf893w9xU1VQFOncrjoavEevzyqTMXwsIjlM3Ml199P6l40YJNG9VKaPU/HzTl5GR+ra5VRKRExQre8TY+caFh4SmcnFz/3p+4oqOjb9y8ncE7vdvDlrRdRcE7KUOadLp2EBER4R5nTFT+TeXhYft1Tbv2Hs6WJWMuS6rX3MGf/dCvV6eEHpoFAHbvqf4yBfBvoQIM4BGppJnEqBbry4e04i/TfEuXKOztnU5hWFmrcoVSiaxu+Rqk2FK6uOh/SWl84tzj609cqqNmz5q8BylrlSebfsVZ1WrneK4IxP0+pPsP/OfMX1GuTPGULs6Hj53O55Mrf97cBgAAgB2hAgzYoad60Vrl3C079j1fs7Kz86M/RODmrbuHjp709w/MmjVTqeKFEvpyWvzDTp+9qP+pkJ4rR9YyJYvYPhgcABwNFWDALhGAATvE72wAAB4Tv0wBu8TVfQAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGLBDLs7OEZGRBgAAeCT6NapfpgYAu0MABuyQh4dbSEiYAQAAHkloaLi7u6sBwO4QgAE7lMrDLSw8IiAwmDowAADJol+d+gUaGhaeOpW7AcDuOMXExBgA7E5UVFRQcKguYEdGRRkAACBpXJydVftV+nXmFmjAHhGAAQAAAAAOgVugAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEFwOAPYqKigoOCQsJCYuMijIAAEDSuDg7e3i4pfJwc3Z2NgDYHaeYmBgDgH1R+r17P8DNNaV+had04ToXAABJFREZqcvHYeER3unSkIEB+0MABuxQQGCw/ml7pUltAACA5OM3KWCv+AwwYId06Vq1XwMAADwSd3fX0NBwA4Dd4d5IwA5FRkVx5zMAAI9Mv0Z5iAZgl6gAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAH8j5+f34ULF4yn4ODBg+PGjdP2jSfhyW7tCfrll1+WLl1qPDm3b9/Wke7bt0/TV69efeedd/bv3288If/iMD7xYwEAAEgiAjDg6GJiYj755JOKFSsWLVq0XLlyPj4+H330kRqNJ2fLli2DBw++fPmy8SQ82a09QZ9++umvv/5qPDnXrl3TkW7cuFHTu3fvnjJlyrJly4wn5F8cxid+LAAAAEnkYgBwbGPHjv3pp58yZsz46quvent7L1y4UC03b978+eefDfxnNG/efP78+bpOYTz77OlYAADAs4UADDi0gwcPqm6ZI0eOrVu3enl5qaVfv35t27b19fXt379/yZIlDfw3pEiRolatWoZdsKdjAQAAzxZugQYc2pw5cyIjI7/77jsz/Urq1KkViZ2dnefNm6eX48ePr1at2oEDBzp06ODj47N37141rl69ukmTJnpZvnz5t99+Ozg42Fw3Kirqiy++qFq1qmY1bNhw+fLltvsKCwt7/fXXixQpog1qs3E7M2zYsOrVq4eGhpovtbBeBgUFmS/ffPPNZs2aPXRrav/yyy/r1KlTrFixPn36HDlyxGzfuXOnlly8eLH2UqZMGa04cODAkJCQWH24ffu2Fvvxxx+tLT/88INa7ty5o2kVyVu2bHn69OnWrVvnz5+/Xbt2sY7R1vTp09u0aZMvXz51e8yYMdb26Ojo0aNH16xZM3fu3LVr1x41apTtrJEjRyocFi1a9N1337UOrOzfv1/dmDt3rvWkHD9+vGfPngULFixXrtykSZOsS/r5+enQdIxm+8yZM7Xw0aNHjUQldE7NQ96xY0ejRo10LIblLH/99dfqucZw0KBBem9o+7///ru5/OXLl829V65c+f333793717cfcU9lmPHjnXp0kXbr1+/vqbPnTunoVNn6tatu2HDhod2UnTJplWrVgUKFNAb9dKlS9rOO++8Y85K6C0hhw4dMk9l2bJlBwwY4O/vbwAAALtGAAYc2uHDh1OmTKlsYNtYoUKFW7duDR06VNM3b95U0FJsuHbtmjJtmjRpNm7c2L59+8DAwB49ehQuXPjXX39VRjJX/PDDD5WlFe004eTk1Llz582bN1s3+95772lrijTKSFpgyZIlsTqjYKPwo0Cl6fDw8Pnz5+ulopdh+aDywoULM2bM+NCtKSd/++23ioVKp9u2bVOOunLlitoVpHUgX331lfqvtbTByZMnL1q0KFYfIiIitJjto6GuX7+uFl0m0PTFixfVvU6dOqmGqdHYs2fPyy+/rJ9xB3bKlCkqoWsYleuUGD/++GNdGjBnjRgxYsiQIdmzZ9e46UKDxnnChAnmLAVLRTXF8saNG6vzCpDWDSrsqRv379+3nhStrminc3fjxg2lZfMwNW7dunXToSlMapaSvDKwFo4b9W0lck51yMqreunq6qpDNiwfddYhaECaN2++e/du5UxtXxcONEsBUtvRpRMtqesgSsXqjIY01u7iHkvfvn115aVevXq6wqJV9M5Jly6dgrdy+0svvWQumUgnV6xYoekTJ06oS7qIoNWVchWDE39LXL16Vale5/eDDz7QiroYpDNrAAAAu8Yt0IBDU05Q+cvF5SH/KVAlVpVJc1q5Qvmte/fuZtFYKWXdunXKXQpIS5cufe6555SO1K5CnCKKYrB1I8rV33//vSaUT5o2bbp27Vr9tN2LioqG5QlJKh4qCGmbKugpQiuvquj64MED2/tm492aqoWzZs0aPHiwWf1TlFLPv/nmG2tFV31WEVixU5m5UKFCy5YtU6YykkMZT6VClR8Ny+UDVRo1GrGe56SwrURaqlSpVatWaVgUthW9lMHUVYV8RV8NpgZQS2o7KvaqjNy7d++7d++qq6pSqs7p4eFhJsxEetKgQQPlak3oiHSk2kivXr0U6Xft2tWvX7/PP/9cs5TAzVFNnDJqQudULwMCAlQGf/HFFzWtsK3ytQqwOte6dKK0qUOzbuenn35SCtVo6AzqpTKwcumCBQvatm2beAe0R8VUTaRKlWratGlvvfWWeWgaK72ddNFBR5FIJ7Vw2rRpNdo5c+bULA219XJDIm8JrR4aGqqB0htMs2rUqKELLtajBgAAdokKMOC4lF5Ui1Pl7aFLKrlZp1WmU1bx9PRU6VX5WdU5pQjzDuHcuXMrq6iGqcKdFlBQVNiwrtikSRNzQtnV3d397Nmzsfai9JI3b14FYE1v2rRJWbpFixaaMCyp2PgrISeyNfMbg1QePGSh5Kbwaa5rUsVP6VcTGTJkKF68uFleTi5r4bFkyZJKehqEWA/NVjBW1bdjx45mlNJVANWBDcutv/qporFSnAbt/Pnzp06dUifNWqUGTdvRkkq/eqmrEmZITsgLL7xgTqjkrp/mseioDUvMM2dlypQp8RRtSuScisr+OhHmtLl9VUqVfg3Lp3lfeeUV63Z27txpWEKsOf56P1iPOnEK8+aE8r/1iKwvFeMT6aQGUGdfc830KyoRW7ecyFsiT548+jl8+HBdQdDWtAW9Y0m/AADYNyrAgONSelHAUAZ76JLp0qWzTityqECnwlpgYGCsxcaNG/f666+PtFD0Umz+4IMPzKQk6dOnNyfUotaH7icAABAASURBVNSt+B13R4q4ZjVVuVfTCkIq86r2q8SiNKXyqXXJeLem8qN+du3a1XabZ86cibuWeVBXr141kilz5szKYNaX+fLlU1dVF82WLZu10eyGwry1xZw22w8ePDhw4ED9NG+rFnPC7KftWirOJ9IT67Go+GndyLVr1/Qza9as1sVsO5aQRM6pYQnAequY0+aI2W7Tdnrr1q3G369TGH8ddeLMzG9YLhbopzWFWvebSCc1+MbfD1lnViHcdu/xviX07vr0009VCtb1Au1XFeAPP/yQZ1MDAGDfqAADDk01TNXETp48advo7++v2Llq1ap4V+ndu/eKFSs+//zzPXv2XLhwwVoONSwlNRXTVGcbO3askuEPP/ygarCRHLVq1fLz81N/tHHlKLO6u23bNgXgpDw32KwBmh2zsg3ASWR9EJdh+VSt7azbt2+HhYVZXypwKq0p7dsuY5YWzSxqun79umGpkGtrKsnevXt38uTJKhRfuXKlRIkSZt7LkSNHrLVsp5OoaNGi+nns2DFri+0znxKSyDlN1vZVtFcevvB3v/32m/EkJNRJXTJwc3Oz7dK5c+esz8dK/C3Rv39/rbh06VJduFGtuFWrVta6NwAAsEsEYMChmbeeKgZYq5GG5bnHihm2IdDWrl27lHNUNFPE9fLyst7gqsihzHz8+HFFjg4dOixYsECxRHVOIzlUhVMtbvTo0cqE2ouqu9WqVVuyZInqeEkJwKVLlzYsacfrL3v37lWHjSTLmDGjdmp717T54GsrlZqtD9xS7XHnzp2FChWK9SFqsxtKa9YWc7pMmTIaH11xePHFF5s2barEq2G3VuCLFy+un9q49YbqhQsXGslk3nOuSqaCurajrZlP805cQuc0Ll0xUcH5p59+UnrXS12qGD58uHWuDlDXL+7fv28Ovi5erFu37vTp08aTkFAnNfhVq1Zdv379rFmzdHZ0ccH8hLYpkbeEDsG8ylOlShWVgvv166f38CNcLgEAAM8QboEGHFqTJk2UfkeNGqUkrFSWIUOG1atXK3epLGn9kG0smqXUpwhUuHBhX19fJTqzXWln0KBBDx48UCLSrOXLl5vPKDaSI3369Eos06dPV3/Me6eVez/66CPD5nOhiahfv37ZsmXfeecdVVxVq1T6+vnnn99666169eoZSaOdqgPKS6o3Pv/88wqu5hODrTw8PBSWdNSZM2eeNm2ajvebb76JtRFvb+9evXpNnDjxtddeU5c0XL/++muzZs2KFSumywrK9n/88Uf+/Pl1gWDcuHHW8Kw83KZNGw2pMp46vHXrVttnaCdRpUqVdBbUJZ2CNGnSKAN37tz5oTXYhM5pXKlTp1btum3btjov6dKlU9bVMeoozLkatLlz52quwqQGQUetU6ANGk9CIp3UFROdLPXkvffe0/UFHbKO3ZyVyFtCV2cGDBjQsmXLnj17BgUF6UqBsr0WNgAAgP0iAAOObujQoWZV0/zeI+VY1W9HjhyZ0KOhlUBefvnlTz75RKXarl27KmyY3+KTIkUK5Tolitdff125S6U2FeL69u1rJFPt2rXNp/5aXxqW8GP7HUgJSZUqlfqgSP/tt98GBgYqrKo/KocayTF+/HiNwBwLHZ1Cqe237Cqi//jjjzpGBaps2bIpnGuBuBsx66KLFy9WWVJRsF27dqqra8TUpSlTprzxxhuKiJ6enp999plSovVDrd9//314ePiaNWt0OhRltSP1xEim999/v2HDhkp6OiPar/lVT7aP444roXMaL13U0AUCXShRsbdRo0bK8wrA5vYLFCgwY8YMvZEUOKOiojQ+mqVoajwJiXRSO9q2bdvatWuPHj2qBKtrDbqIY3YpkbdEx44dr127Nnbs2AULFmjhUqVKadh5CBYAAPbNKdbDSwHYgWs3bmfP+vC4GMvFixeVEFRee+i3Isndu3dVwIz3CdIhISH37t3Lnj278e+JjIxUPFMusn2KUrLcvn1bWcj8xh0rBcurV6+aj32+deuWisAP3Y66ocXi5k+1q94e71ArA6sgafu8rqRT9zZs2KAiti4ZmC2qcG7fvv3s2bO2z+6KVyLn1EoDq0ifNWtW86uDRNdKvvzyS5VkbYNukEVSxie54u2kCvX+/v6tW7c2H/G9Y8eOJk2avPnmm0OGDLHteUJvCV3LUO3X+twsADA92i9TAP9xVIAB/I/56KYkUlUzoVkeFsa/SsHSfKbUI0u84KxAm8R0lyVLlmS1G5ZnID9yHVJBTqlP+VzFUvVQYXjTpk0qdT40/RqJnlMrDez8+fNVXu7WrZsy9t69e1XlLliwYNWqVW0XS21hPAXxdvLEiROqpatiX69evcuXL6v8myZNGuVh4+89T+gtkZQHZQMAAPtABRiwQ1y0fkp69+6tKuKCBQuM/zAlwE8//XTfvn0qlhYrVqxRo0b9+/dP/BboZFFp96uvvlIG1o500aRixYqK3LFK5f8w/SL79ddfZ8yYcebMGSXkUqVKffDBB4UKFTIA4DHwyxSwSwRgwA7xOxsAgMfEL1PALvE1SAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA7BbD/wD79/3t22JjIzatHVPWFi48fSdPX/p1JkLBgAAAP4zXAwA+A/wDwj64JPv6tSs1KZFA+Oxbd62d+OW3ff9A5xTpHB2TtG0cZ2qFcuoPSw8fNa85SWLF3JzczWesr0HjoWHRxQq4GPYi6CgkD0HjlSv/JyG1AAAAHgGEYAB/Cfs2X8kXdo0+w8ea928gZOT8ThWrd26av2213q0z+eTy8nJ6cLFqxOnzomIiKhVrYKBx/DAP2D2vBWVypd2dn7qlw8AAACeBudPPvnEAGBfAgKD03imSsqSMTHG0pUbZ89fsWLN5qvXb+bPm9vVNaXavx31q2dqjyUrNk6ftfjYiXPp0qXJlCG9ucrlK9f/8F2mIHTy9Hlv77Te6dOpce6i1Wo/cPjEtJkLT5w65+mZOlNGbyM5Zs1d3qZFwxOnz+fOmdU7fdp79/1HfDfxuTLFzVJtRETklyMn5MubK62X56Zte6bOWLBo2bqjx8/myZ09jWfqvx9RzJiJM7q0b16sSAEnS5JOl84rc6YM167fLFIon7azev22YkULaAvzFq0+e+FysSL5XVP+echBwSE6qJm+y/buP6r1cufMpsa79x6M+H5SrhxZJ031XbpyU2BwsNpTpkzSpcOjJ85ERUXfvH134q9ztu7YFxoaXiBfbrVfveb3w9hptar/L43vP3R84ZK15cuV0PSdu/dnzF4yw3fpgUMncuXM9t3oqcWL5E+dOsFTOeyb8Xnz5EjrlUbT9+/7D/9uYpWKZVxcnHX6dB5nzVvhu3Blw7rVIqOi5ixYOXPO0g2bd2kAl6/erHHImT2L1tp34NhM36ULlqy9cvVG3jw53d3dzLOfKpX7vMWrtdYNv9tZMmXw9Ex19PiZyb/PCw0N0/jcunOveNECBgDYtaT/MgXwDOE2NsChLVmxYeeeg80a1+nepXVAQNDPv85WZjMsSWzWvOW5c2Ub8FqXPLmyTfp1jjKPYblRedwvs5Qn+73aKX++XBMmz9aSag8ICFy3caf+UOjTo32GDOmn/D4vOjom6d247ndL21FAfa5MsZ17DqslfTovRd/DR0+ZCxw/dS4kNEyZ7fjJc/MXr2nSoFb/Pi8pfo+b9EesTd26fS88PEJ9s20sWaxgy6Z1rS+Xrtj4QsNaXTq2uHX7rjKeYYnNU36b5x8Q2LNbm7q1KysbHzxyUu1RUVG379xbtmpTy6b12rRosGffkR27DhhJptCo+vOrL7drVK/GqnVbt2zfq0bFUXXSukxYWPg9yweVIyIjJ0yZHR4Rodp1g+erKY1r11o4ke1rAa1lTkdFR+ulDsSwnL4FS9ZoMPv27KCXc+avOH7ibIfWTbp0aLF954FTZy4ox6r91JmLv89aVLlCaZ01rf7zlNnm7rS6Brly+dI9u7a5e+/+gqVr1ZjPJ2frZvU10a1Ti7q1KhsAAADPIAIw4LgUltZt2tGpbdPSJQqrONm9a2sVJy9cumrOVYmvfp2qeXJlb9W8vqqRO3cfVOOuvYeyZPZ+sVk9tTeuX1Ml2V17D5vL58yRpWHd6j65c7Rp2UAp7uz5S3H3GBISGm9Pdu05XLpkEWfnFOVKF9t38Fhk5J8xrHzZ4gePnDAXOHTk5HNli6ui65Mnx+cfDdAs7ejFpnVVoY31mKtrN26qjOmVxtNIWKN61YsWyqejrlHluXPnL6vl0pXr5y5e6dGldf68ucqXLdGkQc2NW3ZZl2/WqHahAnnKlSmmrHjor0yelONKkcKpW+eWeX1yVipfSlcZNmzebSTs3Pkrd+7c6/5nH3KXKVWkScOaxmOoVa1CzWrltSkN5radB17q0Kxk8UI6ih5dW4eF/u8ZYGs2bKtXp2rVSmVV+32504vKzxf/OvtVK5XR8RYq4NO4fi2V9FUx9vBwz5olo2blyJ41g3c6AwAA4BnEZ4ABx6X6p4qlimfmSw93t2xZM1+5ekMhUC+VnaxLqkXZWBPHT55V2dDXUjWVI8dOO/31gV2ta06kdHHJkjmj0lTB/Hlsd7dx627fBauGffxGWq+/pVPVLDdt29O6RYP7DwJSp04VHRV1+NipsqWKKoguW7kpLDzCNaWLSsF9e3U0O6lysSqxd+498PcPUEto+N8e6eyZOpVqqqpkujg7GwnIljWTOZEzR9bAoGBN6Ki11uLl6832U2cvmsdryvrX8jmyZ9kepwJ87frNL7+d0KNLm7Kli8aapcsEGg3rGM5btCqRiu7VazeyZ8vi/tfTuWzH/xFY+6zhiomJ9sn911n2cM+e7X9nSgXqO3fuBweHmC+DgkOuXPUz95sty/9Wz5Uji9KvauOEXgAAYAcIwIDjUrBRerV9oq+Li7P1llprcrNtj4yMdnNzTZfOy2x/oWGtzJkymNMpUvz/duJ9iFU+n1yqoHrG+UTr6bN/3pE7fdZia8vCJWsVgL3Tp82ZM+vxE2fTpEml3KswqVmqD2vJYkUL5MyexTud1579R2NtLUe2zKps37x1J/tfgTwua1et6V0XAgzLp4XNl2VKFqlQrkRMTOzlU8T3eK706dNWKl9aBfC4s1z+PobR0THmHea2Yv7ajbuHe0jo/1eSQ0PjryonkbWjGjrtQfHexcXDbAm2qVdnypje9mzqioA5/f9n8zGfSAYAAPBfQgAGHFfWLJmUc1TANLOlstm1Gzcb1athzr109Xq5MsXM6ctX/ixOaqJQgTyeqT3q1a5iJF+uHFk7t2sat33nnkNVKpbp1PZ/s9SHr76fGBQUkjq1R4WyJQ4eOZEmjedzZUuYczdv21uzWoUWLzxvWCrYvgtXxdqaKpyZMnpv2rqnQ+sm1saVa7ecPX+5b8+OCfUtR/asSuZ1a1W2RmJFMY1JAAAQAElEQVSFxiRGPyXMLh2axzvr8tUb1u2ouJoxQ3o315Rurq7R0dH37vuntyTPB5Y6tuTJmc3v5u1LV66bz9/avuug8TC6GHHr9j1dWdC06ufxLqOd6vrBrr2H6tSsZFi+nVjjZs4qkC9PkUL5ateoaCTnkNV5AwAA4NnEZ4ABx6Xab/myJWbNXX7rzr2g4BDfBStTubvnzZPDnLttx/5jJ8+qSrxj98HDx06XK/Xn/b0qzB4/eXb7rgMqCPvdvPP51+PWbNhuPAZtf/+h4+pGihRO5v9U2lVVee+BP0u7ZUsXO3bi7P6Dx8qXK24u7+mZ6uLlayEhoYGBwebDmeJSHN26Y//qddv8A4JU2lX/V6zZUqFcyUS64ZM7e6pU7rPnr1Dw1v8mTfMd98tM47Hdf+C/ZMV61bevXPNbuHRt+bJ/HkXmTN6qrq/fvEvtSvvbdv7vnuoc2bPUqFJ+9ITp02cvGT951oWLV6zb0Yk4ZHkoVywaK10+uHvvQWBQsEJ+Qt3QxYX5S9ZMnDrntz8WzZq3wnp7c6XyJZev3nzuwmVl2uOnzr394QiNrZGwDN7pVMc+cOi4+SFtAACAZw4VYMChdWz7wrQZC4ePnBAZFZUrZ7bXenZ0++szqC80rLVgydpr1/280ni2b9XYxxKMs2fL3LVTy0XL1k2fvVjV42qVyz1f87EeCHzwyEmlwUIFfGwbnytTfOfeQzWrlfdKk1qxMCAwyJrZmjasPWHKrEEfj3R3c1WvDhw6EXeb+fPmeql9MwXghcuUkJ1UodWSFcqVSKQbrq4pX+vRcdrMhR98+p0q4YUL5n2584vGYytXupi/f+DAj75RbixTqqiG1LDcXfxSh2Z/+C5bt3F7powZKpUvZQ23bVo2KFI43+kzF5Rsq1Yq++b7w812HUv+vLlLlSgca/ttWjYcO3Hmx8N+Ut27eeM6R4+fibcbZUsXTZeu25Fjp7VrFc9/mTbXbNcuVIie+OscjXAqD482LRqY9wIkRO8NFf8XLl2nQN6zaxsDAADgWeNk/fgZALtx7cbt7FkzJn15FQBVibVGX/nw0x86tX2hRLGC5q3IcVdRxdjdzc3288P/JPXKw8PN9lPH8XrgH6BaZbKe3hQWFm44OblZvgz5SdE2UzinsP1MtWG53zgoKNjT5hsmw/4sVh8oW6qYYr9hecCYarYjh72bMqWLTkePrq3Nh5PFpfKv4quK50YCdu09nC1LxlyWO6u18ODPfujXq5PtRQeV01OnTpXEW77V85iY6IcOPgA865L7yxTAM4EKMIA/a5K26ddWvOn3z/ZU8bf/MxLqVSxpvdIYyZTQODyOeLeptGmbfv9czDXlkaOnN2zeVap4YZVkDx89Va92VaVfBeOw8HDrrelxxX2uWCz3H/jPmb+iXJniKV2cDx87nc8nV6xHTMfqSeLUcycn0i8AAHgmUQEG7NDjX7TetG1PscL5M2ZIb+AfpP8g7z1w7Mq1G+5urvl8chcq8Of3SKlme+joqaoVyxiP4fTZi/pfRGRkrhxZy5QsQv0WAB6KCjBglwjAgB3idzYAAI+JX6aAXaIIAAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA3bIxdk5IjLSAAAAj0S/RvXL1ABgdwjAgB3y8HALCQkzAADAIwkNDXd3dzUA2B0CMGCHUnm4hYVHBAQGUwcGACBZ9KtTv0BDw8JTp3I3ANgdp5iYGAOA3YmKigoKDtUF7MioKAMAACSNi7Ozar9Kv87cAg3YIwIwAAAAAMAhcAs0AAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIfgYgCwR1FRUcEhYSEhYZFRUQYAAEgaF2dnDw+3VB5uzs7OBgC74xQTE2MAsC9Kv3fvB7i5ptSv8JQuXOcCACCpIiIjdfk4LDzCO10aMjBgfwjAgB0KCAzWP22vNKkNAACQfPwmBewVnwEG7JAuXav2awAAgEfi7u4aGhpuALA73BsJ2KHIqCjufAYA4JHp1ygP0QDsEhVgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMIA/3bhx4/jx4+Hh4cY/6NatW+PGjdu/f7/xbzt48KB64ufnZ/yXbNu2beDAgXfu3DH+WVFRUUOGDPH19TWecf+dNxgAAPiPIAADjm7JkiUFChQoVqxYtWrVcubM2b179+DgYOMfce3atcGDB2/cuNH4t23ZskU9uXz5svly0aJFajH+bfPmzZs8efKRI0eMR3Xv3r358+efOHEiWWvdvn17zJgx2rXxrDl16pSOV/03X/533mAAAOA/ggAMOLR169Z169bNxcXlww8/HDlyZO3atRcsWKAMbDi2Pn36fP3118a/7ZNPPlm4cGHNmjWNR3Xu3LkePXoozydrrSxZsqxevfpZDMDLly/X8SoGGwAAAPFxMQA4MMXdmJgY/SxSpIheKvp26NBB4Uc1tIwZMxr4V3l6etaoUcP4N5QrV84AAACwO1SAAYd29OhRDw+PQoUKWVu++uqrqVOnKhWbL7dt26aSmhZo1KjRjz/+aG2Pjo4ePXq0ipO5c+dW3XjUqFFme0RERLVq1T777LNff/21UqVKnTp1MtunTZvWunXrvHnz1qtXb+zYsbG68dNPP1WoUKFkyZJvv/123M8hJ7TN6dOnt2rVKn/+/ArtS5YssS5/586d3r17lypVSt1u167dyZMnzXYt9vLLL1sX27BhgzartG+7r+3bt6sxNDR03759mvjhhx8S2aCt8ePHa/njx48PGDCgcOHCOkyNj3Wuv7//wIEDy5cv7+Pj88ILL6xZs8Y6y8/PT7PKlCmjzDlp0qSZM2dqOzovmqUarKbPnz+v6VdffbVly5Zqb9GihTaiMd+6dat1IzqKJk2aqF270BiaN7GPGTOmV69emtBmtZ1NmzYlPm62tPxHH32kiZ07d2p68eLFw4YNUyd1oUS9DQkJsS6Z0JnVefziiy/q169foECBl156acWKFdZZ5rHs2LFDb6p8+fLF22Ik/N4zLLesa5bGWe+HQYMGmcergzU70LdvX/U5ICDA9oh0sBoi2400b968c+fOBgAAcCQEYMChKXMqzAwePPju3btmS548eZo2bZopUybDEo/bt29/6NAhBRi1fPrpp4o05mIjRowYMmRI9uzZFV2cnZ2HDh06YcIEtStgKAQuWrTo888/V/JRHlPjL7/88uabb6qq3KVLFycnJyUrpVlrH3wtatWqpWlFXG02Vifj3ebvv//ev39/ZWNVrW/duqVku3btWnN5RcRVq1a98sorr7322okTJxo0aKD8qfYzZ86cO3fOulkFJG3WnGXl7e2tbKkjSp8+vSYKFiyYyAZt3bx5U1vTAgcPHlTE1XjqQKyBUOlLQbFq1aoaycuXL3fs2PHAgQOGJSV269ZNQVepr06dOop5CqvajpkwdVyaDgsL0/TFixf379+vHK4rDorKOik6fHPjGzdu1GkKDAw0M6HGUCdF7Rqr5557ThNKpzoWs6SfyLjZ0n6vXr2qiaCgIE3rsoj2UrduXZ0L9dZ6T3VCZ1aLvf76699++63GU8euLWgB647MY1EnXV1dGzZsGG9LIu89XZvQLCXzF198UeOm6zXK84alaq1Ub07oeF1c/naLk6K7ArY57HLs2DGl6KJFixoAAMCRcAs04NDee+89FQaVXZVkFJaUwdq2bau8ZM5Vrc/T03P58uVmdnrrrbe+++475cAcOXIo+o4cOdL8tLBKjgoSWkzxzFxRyWrdunVmGlEw015UPlWGVLxRS7NmzbQ7Fe6s3VAB083NTTVG5Zl481isbari98477zz//POzZ89OkSKFplV+fPfdd/fu3at6qbKNUpl6qyVVPNTGVcL18vIykkABUkFrypQpGgQzcSVrgxqoOXPmKAoqXSuDffLJJxqiqKgoFUK1BSVnLaPrCypFaiMqqCpJ7tq1q1+/fsr25jFqrYT6pm1qMZ0j88RNnDhRHStWrJjSrMK2dmR2SaVUDZSitZKk+jN37lwFVw1O4uNmJEpbVhFY1wU+/PBDlWSXLVtmRu6EzqwK6bqo0bNnT/Oj1HqH1KhRQyNw+PBh67Gouq4Ea3t0ti2JvPfUYYVb1a5V8TYs9yyI8rCuPuiolXK1X11riHUIKlP/9NNPKkSXLVtWL82KtJmcAQCA46ACDDi0bNmybdiwQVFWZVUV1lTXVQw2g59im0JFhgwZrl27dsjCzBuqcOqnKodKXKGhocqHp06dUnq5dOmSdbNVqlQxk6oo80RHR3fq1MnMSIblGcuqxHp4eJgvlcGUfjXh7u5eqVIl2yKtrVjbVOpThfPIkSPqmDqgQK6ePHjwIHPmzNrajBkzVAhVrVXJfMCAAdZI/wiStUHVMJV+NZEmTRqVeSMjI1UxTp06tfKb0q+6d/r0abO6a9ZX1Xn9VBHYXF2lzubNmyfUE23HrJOLOaGwZ1gGUNlScVHd04Dcv39f5yXeL09KZNyMRCn2K/1qQu+H4sWLm/tN5Mya3zxkPS7VgVUV1yGrTm62aHxUV7fdhW1LIu899V+d1+GbLYblWoAuHFSsWDHxQyhZsqSiu/VObE3oVOrygQEAABwJFWDA0am4191C5cH/Y+8+wKK49iiAD72IhaYIWAAVbIiKvffeid3YYxKNaaYa9RkTS2JLolFjL7GLvaKo2BBFsfdO79Lbwjvs1clm2UVETSJ7fp8f3+zdmTt37uwL78x/dti0adPPP/88Z84cFAkR/CTlnaJqNUkkOhQwEUVQo8NPZDzRLi9AyZIl5WXxjVk5rgAiokhTQqlSpVSXVb+lqUq1T/F3ff5QUhsbIvS6deu++eYbVB0l5Y2vH330EbKoVFiInQXvUDUYi+W7d++i0ouJxaxiWW19BDz8tLOzk1twSULSAjOAsq1YFpOGoCgpv6KMgI0LGSjJSvnKf97y2dDS0lJexq5Fes/nzIodqb4lZgObiM8V4q58LIJqy8OHDyUtnz2EWJR51S5AqH6c8oEi8IwZMzB4JPbz589PnDhRIiIiIh3DAEykuxCfwsLCUDkUacrc3Hz48OHIMEh6qAZjGY1eXl6oD6tuhXIoEggKlTY2NitWrKhduzbSESqE2v56sEhBIjK9LuXKlcPP+fPn9+zZU7UdYRU/27RpExAQcO3ataNHjy5dunTs2LEYart27fAWSqPyyuK7tQWRT4dqEGjF14YBc4ufjo6O2PaDDz5AJ/PmzcO7mGFXV1exTU8sfAAAEABJREFUjvgOKpKeXMAsxF/9HTNmjJ+fH65cNGvWDAObPn26Wr6V5T9vLyufM1u+fHlJOQOoNosWMRui/YXEVQCNnz1cH0HcLdzHSQTggwcPijsOeP8zERGRDuIt0EQ6DamsW7duqkXX5ORkSflVWORhVDuvXLliampaQglv+fr6iiczJSYm9urVq2vXrg4ODqj95vOXV93d3fFz3759csu0adOQn1WfJPyyatWqhZ8o4pV47tGjRxhbZmZmcHDwoUOHwsPDq1evPm7cOPEYKvHVU3t7e9Rg4+LiRCf5fPHV0NBQXi2fDvPauXOnWMjOzt67d6+kjLjnzp3DAmJzkyZNUP8Utz0LTZs2xc9vv/02OjoaZ2HPnj3e3t7SS0LArlu37tChQ52dnTEV4vZj+UDwUz6WfOZNenn5nFmxI/l+Y1wxwV5wnaVChQoF6Tmfzx5a8OE8depUfHy8WBlz3qlTJ3HUaserBvOD6zUY1f79+7HwKjfGExER0VuKFWAi3YVK2qBBg1AP7NKly8CBA62srBDVFi5cWKZMGfEMoS+//HLEiBGDlJBq5syZg5yGdapUqWJsbLxx40YXFxcU0xYtWqT2xF1V6Pa9995DTRKFyg4dOiB9LV68GMU9+TvAhWBtbT1y5Mjly5ejk1atWt25cwelQkRNFDaR5fr371+jRg2kSpSmRV4Vd9J6enqePHkSx4KDvXfvXj5RE6VUZKQffvgBlW3sS1uHeSFc4XIA4ig2P3v27LvvvluyZMmaNWvirZ9++gkpLiIiQvXPI4m/4oPiLUJd8eLFkYExvLVr10ovA2PDvn799Vd0snXrVlyekN9CaMeYt2/fjkI0oikqwNrmTXp5+ZxZlMfr1KmDCcSFEhS9t2zZgio3qq8F71zbZ0+8NWzYMPFHrXBh4rfffkMFW0xy8+bN8RMrR0ZGavwTRygCiz/vhLFJREREpHsYgIl02qRJkywsLObNmzd+/HhJ+R1ORLJly5ahBCcpnyeMYtqSJUvE055R1kPaEX8haeXKlR9//DGqmthc/IXefL6AOn36dES7Xbt2IQghHfXt23fu3LnSq5k5c6akfOrS0qVLMWxkeMQeSfldUwTIb775Rvy5YBSoV6xYgTCGZURNFBWPHj3q7++PjPr1119//vnnGjtHpRfJDUk1JSUFg9fWYV6Ix0hW69atQ5pFFJw1a5akTGUTJkzAlYUhQ4YgguLY33nnHXkTDAPpEeVNfX19zIz4C0PiSVoFhOiLKPi///0PWyFyI/iJP0klKSuiOMUYMH5iZrB3bfNWONrOLJZxfQTTiIsj+GBUrFgRsVN+SHhB5PPZQ5LHJxY9f/jhh5g0XNfAauISDGIwEv7BgwdxZjXe4dyrVy8RgAuX+YmIiOhtp6fteTNE9PYKDY+2t7Mp+Pr478CDBw+QN1AMFNFXDYpvKPnm/cM/qGeiQJpP+VdNWFhY6dKlC/jIogIKDQ3FGMS3OlXFx8dnZ2ejSqnWjjyGWCsexZQ/FJNxaHIW1dahgKsAqKUHBgYiZ8bGxiIAGxkZqa6gUCiioqJQXVcNtyEhIceOHUO6QxVXtCCYnTlzBgVqXFmQXgZ2iknQ9m3ejIwM+VnNgrZ5KxxtZxZHjYGJ4Fo42j57kvLpX/i4aryVIO/xCsHBwR4eHijgo1QuERHl62V/mRLRW4EVYCLKrTc6Ozvns4L4W6x5Ic5JLyOfRxwXmr29vcZ21YdLq7JQkgpALcFq6zAvjSEZ4VD1ac9CyZIlJ0+ejAsQKOEiQCIM+/n5DRgw4GXTr7adyvKmQW3zVjjaziyO+lXSr6T9sycp74TX9lbe48WFD29vbxTzcRUDBXmJiIiIdBIfgkVE9BogvqJ+rpaZXwhBF6G3devWO3bsmDlzZkJCwv/+9z/VLwnT6xIXF/ftt9+mpqYuW7asYcOGEhEREekk3gJNVATxri0iIqJXxF+mREUSK8BERERERESkExiAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwkU47eeZCVHSsREXOvQePb999mLc9OibuXOAVqVCyshR+p86np2dIRERERG8nBmAi3ZWdnePr53//YbCkw/Yd8hv7+bTIKPWrACfPBKL9/sMn0r9k3sI1u/YdlV/u9znx0Rc/pj0Pn9nZ2Z9+M/PK9TvaNg8Muh6gKegGh0TsPnBMKpT0jIxN3vtTUtMkIiIiorcTAzCR7tLX15v81YcNPN0lHaanl/sTFwLU2jd5H5D+VVVdne7ceyS/vHHrPs6XXNR9/CQM9dgqLhUkIiIiIiowQ4mIdNgvi9a0a92kmqvLtl0+FsXMEpNSzl+46mhfpnWLhtXcXDRuEhv39JdFa0cM6b1l+8HwiCjXKk69ura1sbbEW+ikmLlZdEzcxUvXP3p/cMXyDucvXvM7dT4sPNLFqVzHds3QIjo5diLg1NmLT58mNm5Yu7hFMWzSr3cn0TMWvHf7WFmW/HDUgOSU1O27D1+7cbdUyeJNG9Vp0rCO2PzIcf8TpwOTklMqOZcf4NW5ZIni2hoLwtqq1IWg6149OhgaGoiWB4+CzcxMkDDldfxOn8eYMWAHe7v+Xp3s7Uqjcc5vq1o0rYedBoeGz/nxy5wc1Gn9Lly6npiUXKVSxf69OxcrZnbK/8K9B0/eHdBD9IPDQc8d2zbD8o3b93fu9Y2MjLYrY+vVs71zxXKqo3Kr4ozqdGZmlpGRIQq/j4NDWzVrcOPWPffqVfDunfuPnCo4mJgYYxmDP3YyICIyxg3nols7zJXcyeFjZ44cO2NqatLAs1bHtk3l9uu37m3bcSgpJaVmtSrv9Owg+imgqOjY1et3PAkJr+xcvkeXNmXtbNH4w8+Lhw7oUc6xLJbj4xPm/b7mm8/fMzUxzlIotu08dPnqLX19/Z5d2wRduVmjamUdv+ZCRERE/yJWgIl0Wkzs04z0TCwkJib5Hj9b3ML8/ZH9rK0tV67zzs7O0biJQqFAXl2/eU+r5vU/GNU/IyNz2eqtIiuiE8QtZOAxI/qXKW2DouW6jbs861QfN2aQra31ouUbEXGx2vmLV7fvOdyyaf2x7w1MT8s4csw/ITFJ7nmfj1/n9s0RlnJyclau9cZbo4Z6tWnZ0HuXz6Wrt7Da5Wu3Dx05NbhftwnjhxsY6K/duEtbYwEhliNvI7jKLci0jep5yHkYB4Lg2rl9C6R6K6uSi5ZtfD578Tv2HK7rUe3DUf2l3LupjyPVd+3QcuSQPikpqb8v34DGlNS0pwmJcs/IxknJqVhITk79femGlk3rffflBzWrV8Eysq7qqCqUszc2Nn7wKATLKPziZe1aVTES8S6Kw0jIyrcerdu0q2G9WjhxiuzsP1ZuRuYU6+DCwcNHIe8N64u8fcj31MkzgaId1wgQrfv0aD90QM9Hj0P/3LxHehkbtu5rVN9j3OiBhoaGS1ZuFndl48RlZj0bP4aBlzh9WN6y/cCNm/f69+k8pH+PM2eDcCBpaekSERER0b+EAZiInnF0KNOhTVOkQVQjMzIz7z14nM/KbVs1rutR3cWpPMJeVEwcipyivWIFh17d2lapVMHM1MTXz79ViwbNG3sivPXp3s6utG1A4GWs43cqEDtq0rA22vv16YTwqdqzV4/2dWpVQ4n1cXDY/UfB6B/VY8/aNZCKj58MwAohoeG2tlbYtV1pm+GDeg/u201bo5pU7V9ebdbYEzVesYzIijDctHFd+V0c1LTvxnvWro7J6dW1DWI8ipzirRZN6jVv4on9Iu+h3DrQq4uHuxvKv8MH93au4JiqPeyFRUTp6+l51HTD4Xdq12ziF++jRqq6gp6enmulinfv594FjcJvVVeX8o5lkauRurGv+w+eVFUG4MPHTuNcNG5Q26mC47CBvZA8Hz0OET3o6+sNHdTTqaIjKq7dOrU6duKcaE9Pzxj0TldU+PFv2KCegUHXEInVhoeYKhJsXi2b1UOH6BadZ2RkIN9KWuCyyOmzQYP7d0PCx0di5Lt9cL1DIiIiIvr38BZoInqmrPK2XjAyNET9FlGqskuF9Vv2oEgo2hHVxozoJ5YrOZcXC6amJgirIWERrpUr5nZSxlbuMDgkonmTevJLZyfHJyHhkjKsIs3K7ci30bFxfw3jeQ/BIeGIarv3P3sQ1O17j0JCI7DgUbPq4aNnZs1bWqumG9KmWF9jo6rQsMjpc5aMHOKFOqqUh2edGt67fbCOfdnS/gFBlZzK2ypv6hYQ5pFXz1+4GhP3NEFZzk3LeBbk7Oye7SgyKhbFcJfn02JRzBwlVkk7pNnSttbTflpUx6N6jaqVkZnFt5FVocYr6tIo/A4f3AuRGC0Iw8jhyKYVlPeTo8wbExOPYCw2SU5JxbQjkEvKGjJOpTzJ3rsOieKwmZlp2efDdrAvY2JijAPHAOT9IvpOmbEAlyH69e6Ud+SVnJ4dIzov51g2JCxS45RKypCfk5Ndsbzjs2k0M8X0SkRERET/HgZgInpGtQIpZzEP96ryd1ORdeUV5NuDxXKWfPuuSozLzMpSXQ15Sdzla2pmmpr2VzFWdVm1B+RJ/CxVqsSzkdR0q1enBqqSCG9Tv/0o4MKVazfu7DlwrG3LRqg5a2xU7dXSsmQDz1qockuamBgb1a9b88TpQFSkT5y50KNLa9V3kUL/3LS7WtVKjvZlrEqVOH/x2l+Dfb6gUCgwcAP9gt5WY2xs9OWnI4Mu37x6/faiZRsqlLcfN2aQnFcFN1fnbbsORUbFpKSmlld+vbaqq/PV63cylY+/QoFXrGZrYynPUpcOLRwd7MSyoUpvOBHZ2TkKRbaUeyIMVPdiaGCgdvc1knbj+rXlaxxq1LrNysqStMCFA5wvXMUwNDQTLXyCNBEREf27GICJKD/VXDU/CutJcLh4SlZ2dnZoeGSbFg3zrlPOoQyquOJOXeUmYeWU2ayCY9mAwCu13XPLhklJKUh0ThUd827uYG+HOip61nseiZGmxKKFhXnr5g3w7+KlGyvWbevWqRWSmMZGuTeEsSH9u0vaNWtcd86vK3FQCGziQVMyBGOUskUqjoqO3brzUN7N7crYGOgbPA4OQ61VUt79G3TlZs1qlVFfjYr+q74d/zTR3PxZGkTcRaTHv/j4hCnTF9x/8MS1spNqn6hClyhuceDwSbfKzmISqrq6bNt5CHOObCzWqeRcAWXhls3qq01R7oSHhMsvURa2sbZEzsdyQmLy04SkkiUsJOUDq1A0dshTmFW7BKDqSUhYmdLWYl8hIRG1arhhWRymuFaCYxRrYo/mZqYBgZdbNW8gKf80Mf/oNBEREf27+B1gIiqMXft8wyOiUdDbuuMQSogumqqF9eu6Hzx8ErEHBcYzAUE3bt0XoRe12Tt3H85dsHqT9/45C1ba5bldWahY3t7c3HTz9gPJyan4t2zN1kXKx0pt3XFw9m8rk5U3/cbExS/P45wAABAASURBVFuWKomgq7FRehn2dqUd7MusXr+jScPaal/HRbR+9CQ0NTUNcX3H3iMaN8cmqCFv9t4fGRWLYSCmohBtbGyMonFMbPyFoOtZCsWlq7fkb1YjHn81eQ6uHUjKxKjIzra1scrbrVsVp7PnL8tP5C5VsnipkiUuX7stX1Zo4Flzv8+J+w+fIBXfuH3/s29nYqjirfinCXsOHE1LSw8Ojdi594hn7eqiHedr/ZY92Cn+/bl5D1KrXEAuiH2H/NAhut29/2hKWhpGiEYcJsYZG/c0KTnl4JGT8soD3+m6fc/hpau3rN24a5P3gbJazjURERHRP4MVYCIqjA5tm877fXVycgri66ihXmYqd0fLGtX3iItPWLZ6W2JSkq2N9dBBPcXduUh6X382+tKVm6hDjhjc+9LV22ERkXk3NzY2+mDkgDUbdn4zda5CkY3q6LBBvdDevk3TNRt2fD1lrrGRIdIgetDW+LKaNaq7esNO+Y8tybp2aLlk5aYvJs02NTHu17tT0OWbGjfv16fz2o07Z85bmpGRiaT33vB3UH1FvGzVrD5ytSJbUb1qZY+az74uiyLznXuPZs1bZoikbqA/sG9XtYeBCajunvK/WPV5vRequrmkpaeXtrUWLxs3qI1JXrpqS2JSsrmZmVeP9hXK2Yu36tSqlpCQNOG7n7EHD/eqXTq0EO0lSxZHaXrqzIW4MFGxgsOod72kl4F+Fi3b8DQhEed0xOA+qFGj0atnh9+Xbpj0w69mZqbdO7W6duOuWLl2raqlSg1FkR8XCFBVXr5mm0RERET079HT9pxPInp7hYZH29vZSG9GVHTs/2YsnDvja0RNVICLPb+hNx+onSIXyS9v332YnpGJDCZeIgQiGXbt2ELb5unpGZKenrh9V5aZBQq14K2x8XVBFdrMzET/Rd/yRSUWAdj072PAqDIzM1UnQcB/gVEutihmLr0yVKeLFTPP+yQtzJ6+gb7at4ul3C8tZ2NIpoWaK/zeSElJLVZM/dSj/IsQLn85GQICr5QtYyP+PjDenfj9/LGjB6o+cIuI6D/rjf4yJaJ/CyvARFRIenp6BUm/kvLxv2obLl+ztVYNVyurUgjDyEUN67nns7mJiXHeRiS6vKFOY+PrkjfvaYSEnDdVogar8ZZsTMVrSb+S8j5tje0aZw9QdjYwKOSVAsRsjbOR91jinyZs2X6gjkd1I0ODK9fvoB7u4lReIiIiIvqXsAJMVAS90YvWKOee9L/QunlDJCipsCKjYi9fu5WQkGRnZ+tevcrrCoH0H3Tn3iP8Q3G+nIOdR003fX0+e4KI3g6sABMVSQzAREUQf2cTERG9Iv4yJSqSeCWeiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmCiIsjQwCAzK0siIiKiQsGvUfwylYioyGEAJiqCzMxMUlPTJSIiIiqUtLQMU1NjiYiKHAZgoiLI3MwkPSMzMSmFdWAiIqKXgl+d+AWalp5RzNxUIqIiRy8nJ0cioiJHoVAkp6ThAnaWQiERERFRwRgaGKD2i/RrwFugiYoiBmAiIiIiIiLSCbwFmoiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gkMwERERERERKQTGICJiIiIiIhIJzAAExERERERkU5gACYiIiIiIiKdYCgRUVGkUChSUtNTU9OzFAqJiIiICsbQwMDMzMTczMTAwEAioiJHLycnRyKiogXpNzY+0cTYCL/CjQx5nYuIiKigMrOycPk4PSPTqlRxZmCioocBmKgISkxKwf+0SxQvJhEREdHL429SoqKK3wEmKoJw6Rq1X4mIiIgKxdTUOC0tQyKiIof3RhIVQVkKBe98JiIiKjT8GuVDNIiKJFaAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkExiAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwEb3d9u/fv3TpUukVLF++fO/evfmvExIS8vnnn1+8eFEqsKioqEWLFr3UJi9UkKH+Rxw4cOCPP/6Q3rw3Mc9ERERUVDEAE+m0CRMmWFlZ4Wfet5YsWYK3unbtKv23rVmzZvLkydIrmDp16qpVq/Jf59y5cytXrty3b59UYKGhoRMnTjx+/Lj0+hRkqP8ROC+TJk2S3rw3Mc9ERERUVDEAE5G0bdu29PR0tcYNGzbgp74+/yuRq3v37tu3b//ss88kIiIiInpr8f/aEpH09OnT/fv3q7Zcv3798uXLEj2HCwEtWrQwMzOTiIiIiOitxQBMRLlEvVftpa2trWrjn3/+2bt3bxcXl/79++/Zs0c0ZmZmNmnS5Pvvv9+8eXPjxo2rVKkybdo0tC9cuNDd3d3Nze3jjz/OyMhQ7cTLy8vZ2blbt25YR25/7733evbs6e/v37FjR7wbFRXVtGnTb7/9Vl7h8ePH2NGcOXOkfJ0+fXrkyJEYBvr55ZdfcnJyRHt2dvaCBQuaN29evnz5li1b/vbbbxo3v3fvXuvWrTEYHJdq+8WLF7F3lMqxvHjxYizfuHFj1KhRlStXrlOnzrJly/IZ0qpVq+rVq4fZmDBhQnh4uNzu4+PTuXPnihUrenp6orackpIiv3Xy5Ekchaura4MGDb744gvVt7QNdevWrTg7lSpVwtnBXLVr1+7zzz+XVE4QhoHeBg4ciEackR9//BHrYP3BgwcfOHBA9BkdHY2VMW/yXubPn4+WmJgY6fk5unbtWo8ePTBsTOOpU6dUpwgTgplv06bNiRMnNE7Fvn370NvZs2fFyxUrVuAlTpl4uXr1arx89OgRloODgzF+MW/jxo3DFRmxDrbFOjt37sS0VK1aFedUbRe7d+/GCvL5zf9DqzonREREpAsYgIl0nZ6e3q+//nrkyJGIiAjRkpWVhTSL1GFtbS2vtm7duo8++gjJYcSIEUinw4YNwyZoR8JEFNy7dy8iB+JliRIl5s2bh0SxcuXKLl262NnZrV27dtasWaITNKITbD5kyBCFQjFp0iTEMPEWYg8SFCKWsbFxhw4dkL1NTU3Xr1+PwYgVENKwo7p16+ZzLMhm/fr1Q+0aoQ49TJ06Ve5/5syZkydPtre3xy4MDAymTJmyZMkStc0xA3369ElKSsJWRkZGqm8hgmLv8fHxWI6MjMQy+klPT2/VqhUy7ZdffonApnFIO3bswK4bNWpUoUIF5D3Mnjii48ePY6jYlwi6SGLoUGxy4cIFvIWk16tXL1wLQCxEhMt/qJgcbH7z5s3u3bsj6g8aNOjq1auIwfIJ2rVrFy5MIO4ibKMFJxeXEqysrBAL8S5OhzibOL94KX8SICwsDC1izOIcjRkzBhcREPsxzzibYjVMwoABA5AwkSeRjXFQd+/ezTsb1apVQ2+I9+IlRoWXhw8fFi9xRQCfDXT+9OlTXCXZtGkTRos4jdiMl2KGk5OTscmMGTMOHjyIEItZVe0fgXz06NG4KvHhhx9KL/rQqs6JRERERLrBUCIinYeC3ldffYXQK/IMQgLSAvKMnEwQ/1COQ70R6+jr62O5bdu2SH2BgYFiBSTDgICAkiVLIi9Vr14dOQRJCfkKGyLdiRIfogs2QUHv0KFDSLkIIX379kUMQ1pDZMIKiYmJqDci9Yk+EfAmTpx45syZZs2aScoAjEwrlrVBidXCwmL//v02NjZ4+emnn86dO3f48OEODg6IvrNnz0YQQjvKrSgeYjVkOXnbhIQEpCyMavv27Wqlb43at28vHvKEkuPQoUPRG6JX3tUQGv38/MqVK4dlFC2XL1+O6iUODakMgRzjwSUDvIXKqq+vLwqzmBnMkqGhIcKkmJZZSsjDyJbahoqRYPIxsY6OjniJWZWTv4ATiv5RCMUyFlAuRrX2p59+ErOBWf3kk0+uXLkivQjOEUIjYj+W8ZlZunQparOItThxuC6AawrvvPOOpIyyyPBqFxEAR4R8e+7cOSzj8gE+MzgRmB/xLtpbtGiBKzIoQd++fRsXBZDn0Y6uunbt+sMPP6D2LtY0NzfHp7RYsWJYvnTpkmjE5Q98ltADRoVrHC/80KrOCREREekIVoCJSCpevDiShnwXNBY8PDyQTOQVEI0Q2FArQ10RdT+EE+TJBw8eoFInVkA2QwDDQtmyZUuVKoUMjPQrKYMKanSIRqITVH2Rq5HxJGXlGYVHSXnrrDwMRHF5p0jCWEfcnYvchVCNdxFstB0FOkdKRNU6NDT0spIIkCIgofqHtJmWloZhY/zoUBRIBURKFI3RgnSKtCwVAOrbYgF1b/z09/fXuFqnTp1E+gWRkJHT8BNhDJkTcf3JkyeYVVxBwNhiYmIwz3iJFCcGLylzJqJa/fr1tQ0Vx3Lv3j10KNIvoACrNgyUoOWkJyYcoV28xJnCsYSEhIjTlD9kToxNLIsFceA4ufgAiPQL7dq10xYssRWCLtL7+fPnccq+++67oKAgHBSuFOAwRZ8YIXoT6RcaNmyIyyhYTe4Enw2RfmUoOItb6xGbRfB+4YdWdU6IiIhIR7ACTES5Bg4cuGnTJmQM5FVkTrX64c2bN/HzDyW19tq1a2NB9elQSK2qpT/5OdKiEycnJ/ktsSzaJWUAVn3otJ2dXdOmTVFZxWBQqUOYyXsnsKqHDx9Kysd3tWzZUm2QnTt3RgxGfRg/5Xuq5QVJWXsUC9nZ2VLBWFpaigWR/FV7U6UascTx3rlzBz+RdVGgPnbsWFJSkur6yIGoA6vOEqjG/rxDFd8rxnTJ6+AaBC49qPYgBimICZcDtjywW7duIS5K+UI/8jnCXiTldQdJ+YVktTHjwFUvMcgQcdeuXYu8isJvvXr1UEzGBRHU+RHjpeehGiNU6w2jxcdSnmSxa1Xr16+XlBdc1D5v+XxoVeeEiIiIdAQrwESUC1EThUqkCG9vb0l5+7Hqu6KGOX/+/Id/91JfnhRf10R5Vm4JCwvDz/Lly2vbBDU97AXBDOEH5U35HmCNUHyWN1E1duxYREqUE2NjY1esWIHCYHBwcI0aNUQhWoaYhJyJKnHevwj1KlSPVyRVUacdM2YMDmratGkohGKQ8heA8S6GgXpsPn2qDRVZ0cTERH5MFNy/f1/jc7MEMeFi8gW1E4FatPyW6gPM8oFatGqHoO0QRMRFjD9x4gQuVZiamqLAizAcEBCAAxGfNHxU1HrDS+zC0FDrRVsbG5uJEyeiwIuSsmh5LR9aIiIiKmIYgIkoF8q2/fv337Zt28qVK1EvVauw1apVCz8R1Uo8h0KlqMoWfBeiE/mBw/Kyh4eHtk26deuGYvK+ffsOHTp54HaoAAAQAElEQVQk7oiWtEP1z83NDfkWmUoMMjk5GYOMioq6ceMGCozooWvXrshRKCTevn1bdds2bdogOSM7Xb58efLkydLrc/jwYVHbhJ07d+Jn9erV8RN5r27dukOHDnV2dsZQ5fvAMXhXV9dTp06JB26JrTp16iSvkHeoiIWNGzc+evQoavgoCyPn5//3itVOBCIuZglnHLETMRITLheZQf7GbP5wUBEREfLjnTHhuGyhcU1ra2tcfTh+/Dh6FmEYMVgEYLl07+7ujt7kQ8aHDR2KYWvz4Ycf4qjbtWu3fPnyXbt2Sa/pQ0tERERFDG+BJqJnBgwY8PPPP8fFxU2ZMkXtLYSWkSNHIlqYmZm1atXqzp07s2fPrlq1as+ePQtYIZSU3zUdPXr00qVLP/jgAwQVhKVVq1Yh4larVk3bJkhlyHvi7yqpFaU1+vLLL1EXHaSUmpo6Z86c6OhoxLkqVaqg3rtx40YXFxcUSxctWqSxljh+/PiTJ09ihM2aNUNUll4HzA/yar9+/VB7XLJkScWKFXHIaEcIxAz8+uuviLtbt25FwFM9imHDhuF6BH6iaPzbb78VK1asZs2a+Qx1wYIFrVu3xsR+9dVXyNs4/OLFi2sbEia/Tp06P/zwA9asXLnyli1bUD2eMWMG3kL6RW5EaESBGh0iJGt7urUaVLBxFBgwTjHmFpdRLC0t5QyvBkEXA0YixTDEy//973+S8nFccm+4FoOrA6je43yh4o1rHzjk/MeAdX7//ffmzZtjTRwF8vyrf2iJiIioiGEFmIieQTZDIdHOzg7JJ++7M2fORJxAbW3gwIGIK+KbnNJLQspCQEL1b9SoUUg4ffv2RSbMv66L9IiflSpVQlXwhf0j2yD0PnnyBDEY2Qkh0Nvb29bWFhEIkQyxB42ffPIJ8qHGL7tiJMjGmIFx48Zp/P5qIeB4kXW/+OILZLPatWuvWbNGfPUU0RdhDDOJ+bSwsMCQ5E26d+8+b948pEdUNRFTkVF3796tltjVhlq2bNnTp08jKA4fPhxHKv6Qr7aJxWzgWgBiJ3pA1EQyRD1ZfiD24sWLMTlIxYjTGJiY/xfCMaI3XLDAgHEZBaPK5w9WicJv06ZNxXebke1xhQWjlR/xjQFs2LABBzVp0qTPP/8cFy9wUPXq1XvhMNAPLgqIPy6FSu9r+dASERFRUaKXk5MjEVHREhoebW9nI70ZoaGhiBmoy0mvICIionTp0vlHXwFJDNls8uTJCK5SgaHwi9Qk/sKQ2n4x+Hy+SvqGoByN+J33qUuxsbGYSbUHGstiYmLMzc1VHzCmDUq1CQkJKJKLSOnv79+5c2fMWP63cysUCgxA49980jaBL4QNEYNf1wwnJydjkIUYhprX8qElIl3zRn+ZEtG/hQGYqAgqGr+zHzx4gFyHSml6evqlS5fyuaeX5s+f//3337dp06Zt27YogO/cuRN5eN++feL7xkREVAgMwERFEm+BJqL/qICAgFmzZjk5Oe3evZvpN38ff/zxnDlz4uPjZ86cuX//fk9PTx8fH6ZfIiIiIjWsABMVQbxoTURE9Ir4y5SoSGIFmIiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gkMwERERERERKQTGICJiIiIiIhIJzAAExERERERkU5gACbSaSfPXIiKjpVIixu37t+680D6z0hLzzhy3D89I1N6BYFB1yKjYiQiIiIi3WMoEZGuys7O8fXzNzIytLWxknTVfh+/PQeOi2Uba0sXp3J1PapXr1pJtJy7cMXQ0NC1spP0ZoybME2S9PT0cpdL21i713Dt0rGFoYGBtvVjYuJ8/c5Wd6tkV6bwf5rygM/Jtq0alba1loqKkNCIiMiYOh7VJCIiIqJ8MQAT6S59fb3JX30o6TzXyhXHvz8ECzGx8fcePFmxdlublo06t2+OlncH9JDesE/HvuviVB4XIx49CVmzYWdaWnq/Pp20rexgX+bHSR9L9Hd37j3yP3eJAZiIiIheiAGYSKf9smhNu9ZNqrm6bNvlY1HMLDEp5fyFq472ZVq3aFjNzUXjJrFxT39ZtHbEkN5bth8Mj4hyreLUq2tb1E7xFjopZm4WHRN38dL1j94fXLG8w/mL1/xOnQ8Lj0RltWO7ZmgRnRw7EXDq7MWnTxMbN6xd3KIYNunXu5PoGQveu32sLEt+OGpAckrq9t2Hr924W6pk8aaN6jRpWEdsfuS4/4nTgUnJKZWcyw/w6lyyRHFtjS/F2qoU/mFfGEbjBrWxsHOvLyrkIgxrG8yN2/cPHTn5+EkYCsWNGtTed/D4V5+OEut77/K5ceu+mZlJrRpu3Tq1fFbq1QQXI5wqODauX/t0QJCkLGkuX7tNvjxx8fKNs+cuvT+y/9OEpLkLVn396Sh9ff3pc/5Q7aFenZpdO7aQCiYzMwth+9LVW2XL2LZr3bhWDVc0nvK/gPwvZ34cLEbesW2zfI5RI22Dz3t+ccUBe7l550FpG6v+Xp2Xr9k2dvQAlKZzcnIr84EXr2VmZdWq6daraxscL7qa89uqNi0bnj578eHjkJrVqrRr1RiVcBTw/U6fS0/LmDJ9QdcOLerVrSkRERERacHvABPptJjYpxnpuV8oTUxM8j1+triF+fsj+1lbW65c542apMZNFAoF8ur6zXtaNa//waj+GRmZy1ZvzcpSiE6OHDuDDDxmRP8ypW2Q/dZt3OVZp/q4MYNsba0XLd+ICITVzl+8un3P4ZZN6499byByy5Fj/gmJSXLP+3z8EDh7dm2Tk5Ozcq033ho11AuxB2ESgQ2rXb52+9CRU4P7dZswfriBgf7ajbu0NRZOZZeKpibGT4LDco8oKRmJGgvaBhMZFbN01ZZyjvbjPxiCcLjZez9CnZR7e3n2stVb4uITRgzp1aNz68Cgazv3+b5w1yFhEfZ2tljIUiiiouPk9vT0DHQlusUUZefkGBsbYSTi38B3umCcThUcpALbe/A4ov749wdXdXVGxTs4NAKNKalpTxMS5XWUx56azzFqo23waucX4XbJys0ZmZkfjOzXvnWTzd4H8C62xZoHDp84e/5y7+7tBr7T9eat+967D4uuRGBu6Flr1LtesXHxO/YeQWOThrVx4cDauhSmoqqWqzZEREREAivARPSMo0OZDm2aSsr7bP3PBd178LiySwVtK7dt1biuR3UsjBzSZ+K0X1A5dK1cES8rVnDo1a2tWMfXz79ViwbNG3tiuUI5e9QPAwIvo6LodyoQO0JuEe1PQsJVe/bq0V4Uih89Cb3/KHjGlE9NTIwlqRzKxcdPBqBWGRIabmtr5eJUHvXU4YN6JyUlS7lVRw2NalJT08zMTKUXQQ/2ZcsgE9asXkVufBwcpnEwAYFXKpQr21t5yDiW+KeJqKOK9R88Cpk+5VNz5R5NTU0WLl3fvVMrUclUdefeYxTesxXZ12/du3z11rDBvaUCQDG5nIOdWP5j5WaUo+XvLRfkkFGQ79KhhRgzCrYYMwqzkhbajrFw5PN7687DmJi4z8YNM82dUsnYxGjhH+ul3GsNko/vqQ9HD6jknPvxGzKg+5xfV2LvYuoaN/B4fquz3u/L1qOUbVmqBGryxkZG8oQQERERacMATETPlLUrLRaMDA1Rv0U5DgF4/ZY9jx6HinYry5JjRvQTy5Wcy4sFRDt7u9IoXYoAXLaMrdxhcEhE8yb15JfOTo4i6yKsipuKBYSx6Ni/CoZyD8Eh4Sge7t5/VLy8fe9RiLJQ6VGz6uGjZ2bNW1qrppuHu5tYX2OjqtCwyOlzlowc4lW7VlXpRVD1LW5RTLVF22CQk50rlpNXw7SIcIhjtytja/48fDpVcET9Mzwy2v75JMtOnD5vZGSUkZHxNCHpkw/fzeeig0Z+p87Hos78bp+8bx0/dW7rjkM/TPq4ZAkLtbdcnp8+STn/qJ/nswttx1g48qnBxwAXGkT6VQ7j2ZCiomPTMzIDAq8GXb4p5daNs7NUpk7evJxDGaRf1ORRypaIiIiICoYBmIieUS1Oyt9V9XCvKocfZF15BUNDA9XlrMys51v+9TXXzKws1dWQqzOVq5mamaampcntqsuqPWQo/9hPqVIlno2kplu9OjVQHixrZzv1248CLly5duPOngPH2rZshJqzxkbVXi0tSzbwrIUqt/QiSF9R0THlHP9WTtQ2GDNTk9TUdHm1lNQ0jcduYKCPmm2mPEsqRgzpjeyHDSf98GuU8qJD3nVycjTfjo4Qvvfg8Qnjh2t8cDROXMN6tSyKmed9y+hvp89Q48Bk2o6xgNQH//z8qn0M0p4vZ2TmTrWNVSl9g2cfSBSrTU2effb++pRq/0I1ERERkTYMwESUn2qumr9U+SQ4XDwlKzs7OzQ8sk2LhnnXQY0OhdOqVZyfbxImblKt4Fg2IPBKbffcSmxSUsrV63ecKjrm3dzB3g7hDT3Lz45CkhKLFhbmrZs3wL+Ll26sWLetW6dWSJsaG+XekOKG9O8uFcDOvUfMTE3ty5YuyGDKl7P3Pe7frXMr9I+kd/b8JfnY9x44htKliKaoP+OnWp+qUCtG5/sOHq9fpyaGbWJsjImNi0+wVEZu1a/mypDJV6z19urRXttfscJsD+rbVeNbj4P/uu0c58hBOTATE2PV7+7GP000NzfDgrZj1KYgg5eUH4OIyOjHwWHlHcvi5ZmAZ93albFByq1RrbI8XfJ5z0e2lmsERERERKr4ECwiKoxd+3zDI6JRDNy64xAynuottbL6dd0PHj5578FjFBjPBATduHVfhF7UZu/cfTh3wepN3vvnLFhpl+d2ZaFieXtzc9PN2w8kJ6fi37I1Wxct34D2rTsOzv5tZXJK7vOZYuLiLUuVRGLU2CgVTEZGVmRUbERkzMXLN9Zs2HnK/8L7I/uhXl2QwTRtVAfB+Kf5yzZ7H5j960q5Plne0b5ECQs0YuXomLiN3vtru1dT61MNontaesaJM4FYLm1rhZWPnghIS0vH9YXTZ4Pyrr9l+wGUqevWrp6tlPMyCTAw6FrQ5Zs4L/jpf/5yHeXXuR3ty8TExl8Iuo7cfunqLZw4sbK2YwTxvWW1zgsyeEn5VfNmjTwXLPnzz817Fq/Y9PBRsGjHxwkHtWHrvtxnYmUpfI6e/mrK7Pxr1GXtbMMjorAvzINEREREpB0rwERUGB3aNp33++rk5BTE11FDvcxU7o6WNarvgTLgstXbEpOSbG2shw7q6aisAKNi+fVnoy9dufk0IWnE4N6Xrt4Oi4jMu7mxsdEHIwcgkX4zda5Cke1a2WnYoF5ob9+m6ZoNO76eMtfYyLBUyRIjlE+N0thYQA8eBU+duTB3YNaWSPIfjhoofx/1hYNB0vvo/cEIgaijtmvdGKXj5Wu2Plt/1IDVf+7A+gYGBiikD+7XLf9hmJqatG3Z6MDhE40b1DYxNhrcv9vGrft8j5/B1DXwdFfLmalp6eIPJp27cFW0NK7vMehFu5B1bt/ctHmr1wAAEABJREFU59jpZWu2FCtm3qNL66quuVV654rlWjWrv3r9DkW2onrVyh41n31ZWtsxgo/vacyVu/KvKMmQkPMfvMyrZ3s3V2dcDUH2xlF/8vUM0T7ona4YxvTZSzIyM0vbWr8/op+RUX6/rSq7VHCr4vzTvOW9u7dr3sRTIiIiItJCL4e3jREVOaHh0fZ2NtKbERUd+78ZC+fO+BpRExXgYsq7ZPOn9izi23cfpmdk1qxWWbycNW8Z4lY+f8M2PT1D0tNDJlRtzMwChVrw1tj4eqkNJjIq5s69x4j6+vq5N+l67z786HHIp2OH/rV+RiZKmgYGhbndBv95xiUGCwtz6c1AwdzczEzt7mJMYGZmpur5yucYv506f+S7fVycykkvP3jMjP+5IBTGSxTPfd7Y1et3lq7eMvuHL+Wsi3Iucn5BPmDy+np6+vxqMBG9Lm/0lykR/VtYASaiQtLT0ytgOFH7SzzYECXEWjVcraxKIQwnJac0rOeez+Ymzx8UrAplybx3FGtsfL3UBlPM3HzvweMBgVcqOZd7EhJ+78ETURn+a/2/5/aXgiz35tKvlDt4DafP0NBA7e5xbceIBJuekaHt7w+/cPCYmavX7hw7EeBe3TUxKfnKtdttWzZWrfSiklzw9Cv9/SluRERERBqxAkxUBL3Ri9Yo5570v9C6ecPCVTWFyKjYy9duJSQk2dnZulevovFJxW8LVCnPXbgSFR1nVapEVTcXu9JFsFyg8Rhx5eLytduN63tIhYVfQIFB14NDw01NjJ0rlq9S6eX+BBQR0RvFCjBRkcQATFQE8Xc2ERHRK+IvU6IiiTeMERERERERkU5gACYiIiIiIiKdwABMREREREREOoEBmIiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gkMwERERERERKQTGICJiIiIiIhIJzAAExERERERkU5gACYiIiIiIiKdwABMVAQZGhhkZmVJREREVCj4NYpfphIRFTkMwERFkJmZSWpqukRERESFkpaWYWpqLBFRkcMATFQEmZuZpGdkJialsA5MRET0UvCrE79A09IzipmbSkRU5Ojl5ORIRFTkKBSK5JQ0XMDOUigkIiIiKhhDAwPUfpF+DXgLNFFRxABMREREREREOoG3QBMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkEwwlIiqKFApFSmp6amp6lkIhERERUcEYGhiYmZmYm5kYGBhIRFTk6OXk5EhEVLQg/cbGJ5oYG+FXuJEhr3MREREVVGZWFi4fp2dkWpUqzgxMVPQwABMVQYlJKfifdonixSQiIiJ6efxNSlRU8TvAREUQLl2j9isRERFRoZiaGqelZUhEVOTw3kiiIihLoeCdz0RERIWGX6N8iAZRkcQKMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiLN1qxZ8+OPP0ov6cCBA/Pnz9+zZw+W9+/fv3Tp0hdusnz58r1790qFVbhx/lvertESERERFTEMwEQ6bcKECVZ5LF68GG8tWrRowYIFSUlJBe/t+++/Hzhw4KpVq+7duycpw97kyZNfuNXUqVOxiVRYBR/nrl27Tp48Kf2z1HZaiFnN35kzZ7Zv3y69mn9lZoiIiIj+eYYSEem89u3bW1hYyC9dXFzwc8uWLfHx8artL3To0CFbW9uLFy/q6elJ/5SCj/P999/39PRs2rSp9A9S22khZjV/8+bNO3z4cK9evaRX8K/MDBEREdE/jwGYiKQZM2Y4OTmpNToqSS8jNDTUw8Pjn0y/UqHG+S96u0ZLREREVMTwFmgi0mzcuHFdunTBwsaNG5s0abJu3TrRfv36dbycNWuW6spHjx5FY0JCwrlz5/K+C9nZ2QsWLGjevHn58uVbtmz522+/adzpvXv3Wrdu/d577yFLoyD57bffym89fvwYPc+ZM0fbOAEb9uzZ89q1az169KhYsSJ2dOrUKUl5nzC2TUtLu3DhAhbmz58v1v/zzz979+6Ninf//v3F95YFhULx008/YXM3N7cvvvgiKChInoGzZ89ieefOnWivWrUqDgqNd+/eHThwYFWlAQMGPHz4UNtOVUcrBuDl5eXs7NytW7eFCxfK7YsXL8YmN27cGDVqVOXKlevUqbNs2TK1A0fPWAd7wTIWhg4dKtpPnz49cuTIKlWqdOzY8ZdffsnJyZEP6scff2zcuDFmpkOHDvv379c2SI1rEhERERUBDMBEpNmjR49u376NBURExNfJkyfHxcXhJUJpWFjYiBEjVFcuXbo04qKhoaGlpSUWXF1d1XqbOXMmerC3t0dGNTAwmDJlypIlS9TWiYiI6NOnT1JSEtIX1jQ1NV2/fn1WVpZ498CBAwiEdevW1TZOsXzx4sUxY8YgZiM0Xr58+aOPPkK7lZUVRoX9iuEhUqIRgRbvZmZm4liioqKGDRt25MgR0c/UqVMxYOy6e/fuiPSff/45dh0dHY23kpOTsYya+cGDB5EYK1So8PTp0zZt2mC/GHzbtm2RP5E809PTNe5UdbQrV67EALDrIUOGIHNOmjRJfj5WZGQk9oK5Qj+tWrUKDw//8ssvg4ODVQ8cPaNb7AXLWKhXrx4WEP779euHAx88eLCtrS0ORO4TJ27u3Lm4BoEFVOkHDRp04sQJjYPUuKZERERE9PbjLdBEJCFnWltbi2UEHgRI1XeNjY1RGOzUqRNSX4sWLfz8/FCrRLhSXad69eoIWugHxUyNTzlGoJ09e7aIzZ999hkqpagrqu4I1WPUQlGu3L59u+gceXLixIkoUTZr1kxSBmC0i+V8JCYmTps2DaERy1999dXSpUtRsq5WrRpGhcDp5OQkhpeSkoJYi2rz5s2b9fX1sYzsipAZGBiItIm6rqen5969e42MjBD++/btq7YXc3NzpOVixYph+datW5988glCLw4KLxGJp0+fjjzcsGFDtZ2qQpDG7tzd3Q8dOoQZxoFjL6hvI22i7irWad++PVIxFnbv3o0CL2Zs9OjRcg8YG7q9c+fOkydP5P4nTJhgYWGBNW1sbPDy008/RZQdPny4g4MDDgeXDxDs0Y6K96pVq3Cucaki7yA1rikRERERvf0YgIlIUruvWC0AQ4MGDUaOHLlixQokMdQJBwwYIL0k1Fcl5V27qB6jZIqY+vjxY/ldpF9ULNFy/PhxRDXR2KtXr++++w65F6EX6586dQohELXK/HeEUIqULpaxgADs7++PAKy22pUrV1D7rVSp0tWrV0ULIvrhw4cxNpRP8XLgwIFImFhAPEaA9PX1Vd0cYxPpF1yVJGUFOzY2VjzhWa1amxcGgKovZhLpV1Jed0AdGKEayVkOwPLN0ijG4icORDUA54UOz549i4MNVUKL6OrSpUuYVVTFz58/j3Deo0cPZPXx48dr66fgaxIRERG9XRiAiUjy8fFB3TL/dVCKXLt2LTLemjVrpJeHDIbiJH7KtzTLC3Du3DmxgHKr3GhnZ9e0aVMUM1GZRP5EXu3du/cLd1SyZElEVrFcqlQpSRkL86528+ZN/PxDSa09JCQEC2XLlpUbVZdVexbQ//fff79p06bIyEipwMQAVJ89JpZFu2BpaSkflPT3GdNIfPcYFW9cpFDbV+fOnRctWjRu3LjZSqilo9T8zTffiJCvpuBrEhEREb1d+B1gIsr9iqyNCo3rbNiwARHUxMRE9VlNBZSRkdG9e3dUR1FDRuUT1dEaNWqIyqcMQRTV3REjRqSnp8uNXl5eCHW3bt1CHdjR0RGFaOk1KVeuHH7Onz//4d95enqKO5kRI+WV5SqxRr8pYah+fn53794t4N80FlccRJ1WQG1cUlZfpcISQV1MmqqxY8eKPaKAj/r277//7uzsjGNHjVfb2Aq4JhEREdHbhQGYiF7syZMnP/zww+DBg7/66qtdu3a97GOBb9y4kZiY2KtXr65duzo4OKCSKT8ISmjTpg1i23fffYfQNXnyZLm9W7duKDzu27fv0KFD2PwVv4lqaGgonuMFtWrVws/z58+XeO7Ro0eizlyzZk1UXH/99VdkdUn5Fd8ZM2bk0+3Zs2fR88SJE5HqcSkhKChI205ViQEg2MstYtnDw0N6GeKe8KdPn0rKbya7ublh2KampuKgkpOTcVBRUVEpKSmYQ5wIXEfo37//jh07cC0DBfm8g8x/TSIiIqK3GgMwEb3YZ599hqA1adKkDz/80MnJ6YsvvkCgLfjmVapUQb1348aNKCN7e3v36dMHiSvvauPHj0cSXrp0qfwXiUqVKoWWadOmIZ5hK+nVNGvW7Nq1a0jyyL3W1tYjR45ct24dIj2SJ0q4COeLFy9GdCxWrBgq1TjAFi1aoP7ZqFGj/G+9RmBGpP/yyy+RG1EpXblypbadqrYjKo8ePRqbfPDBB5gTDAOlYwT+vF9Xzp/4evCnn366d+9eLGAYSOyDBg1CcMVso8NPPvkECRbHhbPWqVMnNF64cGH27Nni+dJ5B5n/mkRERERvNX4HmIheYPPmzUeOHEEVVNwdjYw3YMCA77///ueffy5gD2ZmZoiFH3/88dixYy0sLLAtwp54WJQqFHgXLVqERDdu3Dh3d3dxMzAqwwiolSpVQov0atAtYu2CBQtQ5PT09BRPOUZBG5Ebu+7SpYv8MDDkPURBHx+fiIiIjh07Ir1jYNrqz8jt169fR1z8888/GzZsiKPDkWrbqeqGorC8e/fuTZs2IQ/37dt3/vz5L1vlRjg/c+bM0aNH7969i0Po2bMnLhYsWbJEPHAbdeY//vhDPFUbFyAwVIwnJycHxWFc1MDlDI2DzGdNIiIioreaHv7/jURERUtoeLS9nY3034M8idKrxvKvNlu2bBkzZszkyZNRyZReh8zMTAxANWeGhoZiVCiTipco5yKR2tnZofgsWlAFRezfunVr69attXWL6JiWlib+Km9BdqoK01K6dOlXucE7W0l1YqOjo5HbEV/V1kxNTUVCtre3l140yHzWJCLSBf/ZX6ZE9CoYgImKoKLxO/vBgweo/f7666/p6emXLl0qXry49E9B2dnX13fo0KE1atQIDAxEkRY58Pjx46amphIREekGBmCiIonfASai/6iAgIBZs2Y5OTkhf/6T6RdWr149bty4c+fOff/991evXu3Xr5+Pjw/TLxEREdHbjhVgoiKIF62JiIheEX+ZEhVJrAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzARDrt5JkLUdGxEr0OOSqUCegAABAASURBVDmS36nzySmp0tvg3oPHt+8+lIiIiIh0CQMwke7Kzs7x9fO//zBYIqXfl23Yuc9XKqycnJxN3vufJiRKr+Du/cfjJvwgvXmBQdcDAq9IRERERLrEUCIiXaWvrzf5qw8lIiIiIiLdwABMpNN+WbSmXesm1Vxdtu3ysShmlpiUcv7CVUf7Mq1bNKzm5qJxk9i4p78sWjtiSO8t2w+GR0S5VnHq1bWtjbUl3kInxczNomPiLl66/tH7gyuWdzh/8ZrfqfNh4ZEuTuU6tmuGFtHJsRMBp85efPo0sXHD2sUtimGTfr07iZ6x4L3bx8qy5IejBiSnpG7fffjajbulShZv2qhOk4Z1xOZHjvufOB2YlJxSybn8AK/OJUsU19ZYaNi19y6fG7fum5mZ1Krh1q1TSz09vbwjRAuWb95+UNrGql+fTvLmmZlZO/YeCbp8IytLUaVSxYF9u5qZmojNh/Tvjp7jnyY2qOferlVjczPTgownJ0fa7+MXePFaZlZWrZpuvbq20dfXz6e9gA4fO3Pk2BlTU5MGnrU6tm2KlpDQiOVrt8lXRi5evnH23KX3R/bHckxsPE7HzTu5B9vfq/PyNdvGjh5Q2tZaIiIiInpL8BZoIp0WE/s0Iz0TC4mJSb7Hzxa3MH9/ZD9ra8uV67yzs3M0bqJQKJBX12/e06p5/Q9G9c/IyFy2eitinugEaQoZeMyI/mVK2yA9rtu4y7NO9XFjBtnaWi9avhEJEKudv3h1+57DLZvWH/vewPS0jCPH/BMSk+Se9/n4dW7fvGfXNjk5OSvXeuOtUUO92rRsiNB46eotrHb52u1DR04N7tdtwvjhBgb6azfu0tZYaNnZ2ctWb4mLTxgxpFePzq0Dg66JW6PVRqhQZCMEpqSkvT+iL6Lshi175R6wzs3b998d0BNXCrDJlu0H/tr8kF/Prm29erTHtQb/gKACDunA4RNnz1/u3b3dwHe63rx133v34fzbCwJXFh4+CnlvWN+ObZsd8j118kwgGrMUiqjoOHmd9PQMzAMWELCXrNyckZn5wch+7Vs32ex9AMeClSUiIiKitwcrwET0jKNDmQ5tcmuADvZl/M8F3XvwuLJLBW0rt23VuK5HdSyMHNJn4rRf7j144lq5Il5WrODQq1tbsY6vn3+rFg2aN/bEcoVy9o+fhAUEXkbW8jsViB01aVhbtD8JCVftGclQFIofPQm9/yh4xpRPTUyMJakcysXHTwbUquEaEhpua2vl4lReT08aPqh3UlKylFu31NCoJjU1zaxg5dbHwWEPHoVMn/KpKM+iQLpw6frunVqpjRBHHRIW8ePkT5D58RIl4qWrt4h1WjVrgGM0zR25hHL6ngPH5M67dWzpVNERC2ERUcjtePeF40GZ18f31IejB1Ryzj0jQwZ0n/Pryt7d2urp6WtsVysCaztwfX29oYN6GhkaYjwpqWnHTpxr2qiutjHcfxAcExP32bhh4qCMTYwW/rFeIiIiInqrMAAT0TNl7UqLBSQi1G9R30MAXr9lz6PHoaLdyrLkmBH9xHIl5/JiAeHQ3q40cqAIwGXL2ModBodENG9ST37p7OQosi7CKiqocruLU7no2L9KjnIPwSHhKD/u3n9UvLx971FIaAQWPGpWPXz0zKx5S2vVdPNwdxPra2xUFRoWOX3OkpFDvGrXqiq9CEZuV8ZWvjnZqYIjirfhkdGYGdURok+sJtKv6pxAieLF7tx7dP/hk4TEZFR6k5JT5Lfs7J5tjgsNZwpWAY6Kjk3PyAwIvBp0+aaUW0nOzlKOx9DAUGO7/fNTmf+B4+qDOCJJeRa8dx3Kp6KLs2ZftoxIv8r1y0tEREREbxsGYCJ6RrVsqPd8wcO9qnPFcmIZWVdewdDQQHU5KzPr+Zbyprk3zaquhqyVqVzN1Mw0NS1NblddVu0hIyP33uxSpUo8G0lNt3p1aqAWWtbOduq3HwVcuHLtxh1UVtu2bISas8ZG1V4tLUs28KyFKrdUAGojNzDQR3UXg38WF5+PUG011eUtOw5eCLrmXsPN1saycqUKFy/dkN+S51lfZa7yl5GZOxU2VqX0DZ5t26VDC1MTE5RtNbZLBTtwQ0ND1cFnZ+cgQqutk5Pz7E54tbOWpnbWiIiIiN4GDMBElJ9qrpofhfUkOFw8JSs7Ozs0PLKNpvt4yzmUQRW3ahXn55uElXOww0IFx7IBgVdqu+cWJJOSUq5evyNuCVbjYG9nUcwcPes9D4rIYmLRwsK8dfMG+IdguWLdtm6dWiG/aWyUezMzNRnSv7vaLtLS0v1On2/e2FNk+9i4p26VncTI9x44hnKooUFuDyii4qd92dLxym/D/jXCsqX3HTwur/Y4+Nm93IiRJ88EolouZu+U/8W79x5Lr8CujA1ic41qlTEG1akoUcJCY7sqjQcuoCAvr4+it421pYmxkYmxMc5pXHyCpfLSg/xXnXDWIiKjHweHlXcsi5dnAi5JRERERG8bPgSLiApj1z7f8IhoVCC37jiE+OfirOGG2Pp13Q8ePnnvwWPUTs8EBN24dV+EXtRm79x9OHfB6k3e++csWGmX53ZloWJ5e3Nz083bDyQnp+LfsjVbFy3fgPatOw7O/m1lckoqlmPi4i1LlUTQ1dj4ooOQTEyMfXxP+/qdRWQNunIzLDyqYoXcL/eWd7RHttzsnbvr6Ji4jd77a7tXMzI0zDNCB3Nzs83e+7HfyKiYnfuOiHZUjM3NTBF6kY3Rp6+fv/RyciKjYuV/SN2Y4bq1q2/Yui/3uVNZCp+jp7+aMhuzqq29gLuJf5qw58BRXAUIDo3YufeIZ+3cL3WXtrXCkR49EYB2XNo4ffbZTdoO9mWaNfJcsOTPPzfvWbxi08NH/PPRRERE9PZhBZiICqND26bzfl+dnJyC+DpqqJeZqUnedRrV90AhcdnqbYlJSbY21kMH9XRUVoBtbay+/mz0pSs3nyYkjRjc+9LV22ERkXk3NzY2+mDkgDUbdn4zdS4Cqmtlp2GDeqG9fZumazbs+HrKXGMjw1IlS6AHbY0vhNrywL5d127Yud/HD7XQ9m2aiPu9c3c9asDqP3dg1wYGBijkDu7XLe/myM+jh3qt2bjrq8mzkYQH9+22ZOVm8VZ/ry5rN+7yOXrK2rJU86b1Dh05JRUYRjJ15kL5ZZVKFT7+4N1B73RdvX7H9NlLMjIzS9tavz+in5FR7n/AtbUXRJ1a1RISkiZ89zMuFni4V+3SoYWkvEN7cP9uG7fu8z1+Bmetgaf7ZeXDt8GrZ3s3V2dcvHC0L9O4Qe1Pvp4hEREREb1V9OTvdxFRkREaHm1vZyO9GVHRsf+bsXDujK8RNVEBlh8BlQ+1pxDfvvswPSOzZrXK4uWsecuqV63ctWMLbZunp2cgqpoYG6k2ZmaBQi14a2x8IfQfFRNna21p8vwJT3+9lZGJKquBwQtulsE8YKd6f7/5GP9xxQWCYsXMC/xV3xfLzs5OTUvPO+fa2gsCh69voK9W3xaDt7Aw/2u1jEz/c0GohJcoXgwvr16/s3T1ltk/fFnwvE1E9HZ5o79Miejfwv/jQkSFhLxXwMSl9jd4sOHyNVtr1XC1siqFMJyUnNKwnns+m+fNpZLykVp570nW2PhC6B8lTc1v/T11a2Ou6Y8MIfeqBsjXAuVZjXOurb0gNE5v3sFjKq5eu3PsRIB7ddfEpOQr1263bdmY6ZeIiIjeLqwAExVBb/SiNcq5J/0vtG7e8IV10XxERsVevnYrISHJzs7WvXoVi2KvOSjSm4DfF4FB14NDw01NjJ0rlq9SqYJERFR0sQJMVCQxABMVQfydTURE9Ir4y5SoSOJToImIiIiIiEgnMAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiqCDA0MMrOyJCIiIioU/BrFL1OJiIocBmCiIsjMzCQ1NV0iIiKiQklLyzA1NZaIqMhhACYqgszNTNIzMhOTUlgHJiIiein41YlfoGnpGcXMTSUiKnL0cnJyJCIqchQKRXJKGi5gZykUEhERERWMoYEBar9Ivwa8BZqoKGIAJiIiIiIiIp3AW6CJiIiIiIhIJzAAExERERERkU5gACYiIiIiIiKdwABMREREREREOoEBmIiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gmGEhEVRQqFIiU1PTU1PUuhkIiIiKhgDA0MzMxMzM1MDAwMJCIqcvRycnIkIipakH5j4xNNjI3wK9zIkNe5iIiICiozKwuXj9MzMq1KFWcGJip6GICJiqDEpBT8T7tE8WISERERvTz+JiUqqvgdYKIiCJeuUfuViIiIqFBMTY3T0jIkIipyeG8kURGUpVDwzmciIqJCw69RPkSDqEhiBZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkExiAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkExiAiYiIiIiISCcwABNRrvDw8Bs3bmRkZEhvRkhIyOeff37x4kXpzVAoFJMnT966datEr1UBT9z+/fuXLl2q8a3ly5fv3btXIiIiIvoPYAAm0nV79uypVKlStWrVmjRp4ujoOGLEiJSUFOl1O3fu3MqVK/ft2ye9JnFxcdu3b79586Z4GR0dvXDhwhUrVkhviTNnzmD82t7dtWvXyZMnpf+AAp64NWvW4AKExremTp26atUqiYiIiOg/wFAiIh3m6+s7dOhQW1vbb7/91srK6sCBAzt27EAA3rhxo/Rade/eHXmvfv360mty//79kSNHfv31125ubnhZpkwZHx8fe3t76S0xb968w4cP9+rVS+O777//vqenZ9OmTaV/22s/cURERET/IgZgIp2GuJuTk4OfIkai/Nu/f38kSRRUbWxspNdHX1+/RYsW0ptUp04diV63f+DEEREREf1jeAs0kU67du2amZlZlSpV5JZZs2atXr0aqVi8PH36NAqtWKFjx46//PKL3K5QKH788cfGjRtXrFixQ4cO+/fvl3vYunVr+/btK1SogAIm6pzZ2dlovHjxYpMmTbZt2ybWCQ4O/vzzz+vVq+fu7j5u3Ljr16+L9szMTKz2/fffe3t7t2zZEp3369cPK6sNe+HChaNHj8bCsmXLsL6fnx+WsfDdd99h4ezZs1jetWvXlClTqlevjmC8c+fO5OTkTz75pFKlStjp77//LneVnp4+ffr0Vq1aVatWDXXXq1evym9dvny5T58+Li4utWvXHj9+fEJCgsY5/PPPP728vJydnbt164aBqc4khpGYmCheYnO8/Pnnn9PS0rBw5swZMWZU4FXr0b+QAAAHUklEQVR7Qzsasc6FCxewMH/+fPlEjBo1CtcpmjVrhsNUHYy2yVSDixpffvmlh4dH3bp1V6xYgdOE/oOCgvIZat4T9/jx488++wzVaUzsu+++++DBg7w7Sk1NHTBgQOfOncPCwlTbZ86cia7u3bsnt+AE4UMSGxsrEREREf0jGICJdFrNmjURVyZOnCiHEATXrl272traSsp4jPyJHDh48GC0TJ06FaFXrPbtt9/OnTu3efPmWNDT0xs0aNCJEyck5ZdX33vvPWtra2QbRMpp06b99NNPaE9JSblx40Z8fDyWnz59isS4adMm5Kg2bdrs27cPL0XKRcDGanv27EFYwrsODg4oRyOeqQ0bORYpDgtOTk7IyaJYjQ1DQkKwgKyLZez30qVLnTp1wqGNGTMGOfPOnTvYEUaCAHn06FHRFVLxnDlzKleu3LdvX4RMeSToCpkfEe6bb77p3r37li1bBg4cmHcCV65c+dFHH0VFRQ0ZMgQXBSZNmiRPEbbFMFQvGeAlGg0MDDBmKysrNGIBwVW1Q7SjEetYWlpiAQNDIw4Ew/P39+/ZsyeS9pIlS7A7XCzIfzJV4TIE8jOuF9jb2yNzzp49+48//sB4cPbzGaraiYuLi0Pnmzdvxphbt26N6w7t2rULDQ1V3VFWVtbw4cPxYcAHoGzZsqpv4ZShK/nrxBgSrh0UL15cTAURERHRP4C3QBPptK+++goxBoFq+fLlyCcohL7zzjtIleLdCRMmWFhYoLorEuann36K0It4g1y6d+9erI+Yivb+/fuvWrUKMRjLaMcCCowoLI8YMQIlYlNTU7WdopJ8+/ZtbIJgiZfI2IjcP/zww+LFi8UKyJOo4pYuXRrLSGsHDhxAWNLX/+uCHWrOGBLKkoh8qGpqPDSkL6RWLDRs2BCZHEEOuRqdYKfY3alTp3Cwx44dQ3RE/kcFFWsiJGN3qHxihL6+vijDIsBjF3gLdVdUVjMyMoyNjeVdIGlj76i7Hjp0CO0IkIipiNO4HIDataSFkZERQjLS+JMnT+S0LHN1dUUjcjXOgvwu9oJIjLnF5Qm8RFkYRXKMHBcmXjiZAk4iTjQG9ttvv0nKxIuLF5LyioNUYNjX3bt3VfeFhY0bN6ImLK+DCwpiVhs0aKC2OSZcfM8clwwk5eO1cG2id+/eEhEREdE/hRVgIp2GlIi4gnog6ocXLlxAoEWsFbkLZUCkUNRyUeK7rCRCHaqR+Fm+fPmgoKDp06ejSoyQPH78ePHEJiQ0ZCq8RMJMT08fNmwY4rHaTi9evFiyZEkRoiRlQEXqE/fiCvXr1xfpF5DTYmJikLukl4TipFhAIVpS3mwsIrR4iYyNnzhkSZk5xQEmJiZi8Ahm4kDwc8aMGbt370b9s23btjgo1fQLV65cwSwNGDBAtCP5ozArDlB6fVBTxdgwD2JI8O677+KnmLEXTqYgbu3GhQDxEucdxWTpJWFfpUqVkveFMx4dHY3LIuIlrg4glq9fvx4JWePXhg0NDbFTfKhQScbLgwcP4oz06NFDIiIiIvqnMAAT6boSJUqgVLtv374HDx6gemlnZ4efZ86cefjwId5F2bPlc1OnTkWL+MtDixYtQokPyRml0apVqyL5iDtyUQxEIERo7NatG2qYSFzh4eFqe0QPcpFZQLRGRRRJT7xEypLfEsvyWwWHErTqSzm7qlaSxbEgT8rHiKqvCNsInDheTALKwi4uLkhuAQEBUp4DkZS3YcstYln+40yvBcaASwmqe0EdFWftxo0bUgEmUxAHpbpmpUqVpJeEUrPavjCZovIvKYvJ4hvL4rZqjfr06YNivo+PD5ZRCsaHR77SQURERPQPYAAm0l2oXgYHB4uvd4K5ufnw4cPFHcUojYovcHp5eT38u7Fjx0rKAilSLiqTv//+u7OzM5IPqsFoNzU1XbhwIZISKoFdu3bdtm2bKIqqwrZqj0fCSwcHB1QIpX+Wo6Mjfp4/f171AOVq80cffYT8v3fv3nHjxmFCevfujVq06uaiJKv6JVhxXCiPyy1yGkSIlQoFM4OcqTpjSUlJCQkJYi8FnExxpKpDFd+XVvXCoSJa591K1ZIlS7DrTz75ROPDsSRlgRorIPpinhHdkYclIiIion8QAzCRTmvTpg1KtapfBE1OTpaUdwUjD7u5uV25cgWZtoQS3vL19Y2KikpJSTl06BAqkIhV/fv337Fjh4mJibg1+vjx46dPn8bKHTt2/OOPPxo3bnz16lXxIGiZu7t7RESEfJ/wo0eP0FWtWrWklyECnriZttDEThGASzwXGBgoKr04cBwjFho1aoRSMGI/jlrtTmyxOeKc3CKWPTw88FP8UWJ0Lt5Cz6rbGhgYSMpHWElajk4+NJSycTowq/KTnw8ePCjvpYCTKW783rVrl3iJY1Eddv5DlWFfkZGR4hZxSfmnmDt37rx69WrxEp+Bd955Z9myZeh8xIgRGRkZeXtAuRjXEY4cOYKrJ0ZGRvjsSURERET/oP8DAAD//14XHnUAAAAGSURBVAMA4ShJ+Hwi1AkAAAAASUVORK5CYII=",
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  "timestamp": "2026-09-06T09:33:19.700Z",
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ts3Bx+du/eicnp0KFCq1Zs+bgwYN3796dP39+ypQpjeRo2bKlMrZylyrMzZo1K1u2rIGEJT7gdevWNScyZcqkywrm3c6bNm0yLB/qNmeFhIQcPnzYdpuq9itRt23btmHDhrVr19bFCF3aMAAAABAHt0AD9qxMmTKDBg3avn37a6+9tmfPnljBSUJDQxs3bqxl/Pz8FLrUkipVqoS2pupl3MZ+/fotWrRI5UpfX1/lt3fffddAwhIfcDc3N9vpsLCw6Ohoc5lsf+ndu3e1atVst5kuXboNGzZ88MEHStRvvfVWuXLlkvV1SgAAAI6DCjBgh27dutWtWzfVDM1P+Yoi07hx41Kk+P9rXhEREfq5c+dOpeKlS5dWqVJFL48fP277TTzmMiZPT8+zZ8+a05cvX7a2K9Fp3erVqyuqvfHGG7/++usXX3yR3DKy40h8wHfv3t2lSxfDMqpHjhx58cUXdcpU4M2bN6/yrbmMv79/rDJ+ZGRk6tSp+1roHGnLc+fOff/9gjRRfgAAEABJREFU9w0AAAD8HQEYsEMqLSpBvfPOO0FBQaVKlTp//vwnn3ySJUuWkiVLam7x4sX1c+zYsZ07dzY/iaoSbubMmTdu3LhmzRpNmBvRYitWrJg/f77CrXlHrl7OmTMne/bsw4cPt+6rVq1aysZK1/p59erV/Pnzk36tdCXC9ruUFWUTGXDD8rTnggULqoT7888/q5zbokULNXbo0EEVY61bp06drVu3Dhw4cMyYMe3atbOupa317Nnz22+/1fInT55UHi5SpIgBAACAOJzivacRwLPuxo0br7766pYtW8yXiq+qzebLl0/TUVFRPXr02LBhQ4MGDRS0lI3Hjx8fHh5ev359hWSlsoMHD2qxc+fOqYasmuTXX3+terLqlkpi169fT58+vaqR77777owZM1Rh3r9/f79+/U6cOGFYMrOSsPnUaDRp0mTHjh22LaNGjdJFh3gHXNcOdHli2LBhCswHDhxQKn777bd1Bs0Vv/zyy2nTpt28eTNVqlT9+/d/7733DMungrX9Xbt2KfFqm5MnT9ZVD5WCe/XqNXjwYGdnZwMAAAB/RwAG7FlgYKBybO7cudOlSxdrlvnhUvOmaIWxkJCQtGnTxt2CwpXtDbfKYN7e3rFuwTUs9+U6OTmlSZPGQBIkMuBy7949nS+NZ6x2DX6GDBkSSrY6oSo4KznHXREAAAAmAjAAAAAAwCHwFGgAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAEAAAAADsHFAGCPIiIi7973v/8gMCw8wsAjcXNNmS6tp3c6r5Qpk/2fytk77wzxvXLyRmhCCxTO6v5Zm5ztKmVIaIF58+aVKlWqQIECxlPz+++/BwcHnz17Nu6s/Pnzp0qV6qWXXjKSJiYmZvLkya1atUqfPr3xND1+n2/fvr1ixQo3N7e2bdsa/z1P8KQ8QQ89v7ajum7dOmdn51q1ahlPQkBAwLRp015++eXUqVMb/7j/5ukAADwOJ/1WMwDYF6Xfi1dueKZOpfzm7uZq4JGEhoXrCkJgUHCenFmTm4GLDDqYSPo1KQOf+KZ0QnOrV6/ev3//9u3bG0+H/rJPmzZts2bNElpg8eLFDx48SOLf91FRUZkyZdqyZUuxYsWMp+aJ9LlKlSrqaps2bbp27Wokx927d3VVolu3bilTpjSejid7Up6gh55f21Ht27evkvD3339vJM3q1avTpElTuXLleOcePXq0Q4cOvr6+hQsXNv5Z/9nTkQhdLKhdu3bu3LkNAEACuAUasEOq/Sr9Zs3sTfp9HBo9jWEaz1R37vkbyZRQ+k3p7LT+w6KNS6VNZJl/hupaifxlL5qrZYz/ksfv86VLl06ePDllypTkpl+5cePGu+++Gxr6FM/as3hSjDijOnbs2KSnX/ntt9+WLFmS0NzixYsfPnz4n0+/xrN5Oj755JNjx44ZAICEEYABO6S6pWq/Bp6EtF6eD/wDjSfk5+55axf1mtq7QCrXh//nNyQkRMU0Hx+fhg0bLl261GycOnWqGq3LDB069NtvvzWn169f37x58zx58nTp0mXlypXPP/98IhuP967OZC1z5cqVV155JW/evPXq1Tt48KDtrLlz5zZp0iRfvnwdO3bcu3evtf3QoUMql2mVWrVqzZ4922xUfFLlUIdZsWLFX3/99ZH789BlVK9r2rSpJtRhVdcNy529X331lWqPZcuW/eijjyIjI80lt2/fXr9+/Vy5ctWoUUNVX7WsWrXKrMar5b333tPEgAEDJk+ebN34Cy+8sGHDBk1oO9999522rxNhHvv8+fM1GgULFuzVq9e1a9eMR+p8EpcJDw8fNGhQiRIlSpcurZ736NFj1qxZ5qwDBw506tRJJ6Vx48bWwU+kPZHzayvuqH722Wdff/21eeA63RMnTlSI/emnnwzLW7ROnToaWC28c+dOtbRu3XrdunWqtZYrV+7cuXNxt6/rDpqlQqth+Rfx5ptvFilSRBv84IMPwsLCEmpM5J+JjqVz58758+fXrrdt22Y86lAnZZmkv0l+/vnn6tWrq1effvrpmDFjdBLNVe7du6fFihYtqn/OOiiz0RzYmTNnPvfcc1pLI2xY7lAwB0qjoeE1AAAJIAADdigsPILa75OikXxSn6PuWzfLyzUzRUUbzb87GRwe/dDllc1y586tP3aVGXr27HnkyBE16g9cRQLrMrdu3bpz544mzpw5061btzJlyixYsKBmzZqqVV68eNF4aiIiIpSO7t+/P336dP2B/vbbb1tnKc+oRZlWMVh/0CsDK0qp/fr168qQWbNm9fX1VURXNli7dq3aNa30u2XLliFDhijA7N6923g6FBWGDx+uiQkTJpgdVihSPlRgU8VSyUQdUKMOqm3btgrAuuigo1BqPX/+fKVKlbSY5o4fP95MVn5+flrSuvHLly+bxcCbN2+OHj3a29tbI6PQq+PSkWoQZsyYoYCtGqkyqvHUvP/++xr/kSNHKkSpA5s3b/b3//P+BQXvDh066O2kwddZUEZSpE+kPZHz+9BRtb4nAwIC1IGNGzf++OOPrVq1UkLTLjSeip2NGjXStLLrl19+qRSnSzy69pE9e/a429egXbhwITr6z38vw4YNO3HihCK3oqDePOPGjUuoMaF/Jjo7SvsFChSYM2eOLnwoRj7VfyZJfJNo8BXRX331VfVKg6YSuhbQYjpq/cPXtKrretfp/WleCNMyel9t2rRJsVlhXnFal5a8vLw0hp6enm+88YZ5uQEAEC8eggUAT1G6VM73g6M0Ub1QmlHdfDTx1u8XdpxNUklZoUt5RhOqTx49elR/33/zzTcJLazandKvGdK0vNKmtV70NKhsdezYMWVy86lIKVKkUPw2Zyki9unTp3v37mZPVGBUyHznnXfUw5w5c+oQnJyclHnSpk2rbBYVFXX8+HH99Z/TQn/Hu7u7G0+HumreSVuyZEkPDw+VfxXM1LeqVauqUYFEqUwDqA6oOJkjRw41lipV6rffflMmb9eunbmuyoxp0qRJfEfly5dXHc+c1mYVIBXyzZEpVqzYvn37Evq862NS8VOlVF0BMY9Ih6nKoTlLyUpXGUaMGKFp1Qn19lBQbNCgQULtiZzfWGKNatwFlMpcXP78Y0N1dW1H5WJFtYEDByp4q13r6p2QKVMmDbXxMOqPDk2JUdNr1qxRSk+oMSE63WaV1TxeHaZGQJ0x/nG2bxJVid966y3zBnL16vDhw2a7itV67+lEKNYalmK4ir0qIxuW6wJKuSlTptQ/JaXi5cuXl7JwdnZW0f6pfhQfAJ51BGAAeFq618z0dcfcz395/FZAxLw3CqVwMmZsuzNqtV8SV69SpYp1WmFYf+MmsrBiQMWKFa0vFbGeagDWH+WFChWyPhPYtqv6871Hjx7Wl+qVYq3Zrl4p/Zrt1ocwqxKocNWsWbN69eo1adLk6QXgWM6dOxcUFKT8o+KhYal5qjZ76tQphQflipkzZ548eVLlOy0WGJi8e+BtP7CqgqoKmPfu3TNfasIcB+MpUId1QUGJyHypYGkNwHp7VKhQwbqk3k6TJk1KpD2R86sqsTK8OZ0rVy7VMBPpUr58+cz0K6VLl1bpVWG1ZcuWytg1atSwvhmslJZt7xmeP3++7VwVb/v166eLQarPt2jRQrE5ocaErF+/XrXTDz74wHyps6NMbvwbbN8k6vy7775rfam3h94zhuUjA3rvffHFF2a7eq4lzWkNrPVhbLr0YC4PAEgKAjAAPBUuKYwBDbNm8HTZ+FGxu4GRmbxcDl4K7jnp4Z8qtHJ1/f/72N3c3MwPN8ZifZK/qmrmza4m2+mnQZ1Rl6wvbbsaGhoab88VL+N9frIKWQrDixYtGjx48EcffbRkyRL9cW88fSEhIfqZJ08eFc3Mlvfee0/DePr0aRXZFIOV+lSUNpIvVq5TRc56c692obhiPB3qvN4PSvXWU2N+dNaI76TodGjhhNoTOb+6VKGcbE4/tBhuOxSpUqVShVbnd+XKlSr/li1bdu7cubGud6guartfrWKeJpOulZQpU0bXLJST9W5RVNaZircxVjes/0x0dKqm2p6Op/pNY4mwHZlY/3itZ808dmtvVTzXvxTzWKyXFYw47zcAQOIIwADwVERGG/VHHN8wuFixHB7pUjnfC4pq8d3JkIhkfPOcWTg1qWxo3taoP9/Pnz9vbb9x44ZZplOcGDt2rAKk/piOjo7+448/jKdJnfnqq68UJ8xoZNtVBTz1tk6dOtajKFGihGG5nXjr1q3WxQ4ePKiUpfqw/nyvafHll1+qMKjSq2KM8fSpwqkUoT1a7xdVtFBnvvnmGx8fnwULFpiNP/zwg+1aKrGaE6lTp7aeiMjIyFu3bsW7FxU8NRSvvvqq7S6Mp0PdTpcu3ezZs/v06aOXO3bssD5WSicl1tPIdFLUk4TaEzm/devWNR6V4m4bi6tXr6pSvXPnTvPrgq2jWsIikS2ocPqRhUqmY8aMMbNu3MaE/plUr17d29vbfFjXPyCJbxIFeJ215s2bG5ZvVFZd2izLaygyZMig+ra1TJ2U9491MAEA8eIhWADip7+eN2/ebFhqfb/88kty7wKF3AqIrP3FsTN+odExRrtRpy7eSd7Tj+bPn7948WJVgfRTgbZly5aG5TOoFy9e1CyFk6VLl+o0mQt369ZNfysrnCgDNGzY0FrVfEqUXpS1tK979+6dOXPG/OyxSRW57777Th1Tz6dPn75+/foWLVoYlsrhnj17fv755+DgYE3ocC5cuHDz5s0cOXL4+vrqL3ttSnWw/PnzG/8IRbsXX3zxnXfeUTf0JlchumDBguqzhlGhRYOsfo4cOdJ8HJHkzp1bxUmdC7OgrXCiQ9u3b5+KqIru1idIx6LRUKJW0tMCWj5XrlzW+4efhu+//37o0KF6Myg1DRo0qEiRIma7ioe6+jB16lQd4K5du9Sldu3aJdKeyPl9ZKr9aoTNL+m5fv26BsQs9Su+bt++XS3mk64SobT8/vvva8D15tfy5urxNib0z0QhU2dBb0str1K/ivyjRo0ynpokvkk+/fTTLVu2NGnSRKescePG1rujy5Urp7OgMvVdi1deeaVjx46J71FnXPn5ad8AAgDPNAIwgD8fSaqqyIcffmjbqL8dze9EUQzQn2W2zzJNxNGjR2N9bC9e06ZNu3TpkuEAlIFrfH7s1V/OrTma7D9JNez66zxnzpwKaR9//LH5tUaVKlXq3bv3a6+9li1btt9++836PaWqrc2bN++tt95S9H3jjTeUfxLfeFJyZiLLqMKm1KQcW6BAgUaNGr355pvWWZ07d+7bt6/+WFfPf/zxx/Hjx5s3/erPel1JmTJlikKgkqcWUCUwc+bMCl36Ez9Pnjzly5dXPbZVq1aP0J9kLWOl6m6WLFlq1KiRPXv26RYeHh5KgIp/yh6KUnrzly5d2nrIGlVFQdwzeFEAABAASURBVLO+qqKu+RVB6nmqVKl0OuLdRZcuXXr06KFEqh317Nnziy++0JaNp3aAutZg5kwNsi4rWD/Eq4ruxIkTx40bp5Nidknjn0h7Iuf3kWk7rVu31jUaVao7dOigwVcn1a63QcqUKZUVT506lfgWdGFlw4YNGnbz1OgfRUKNCf0z0fHqYHWxQ5ddqlvYfltSLI9/OpL4JlHPdQjmB+AnTZpk/TC/VtGVL5XfixYtqhOh/wg/9PHOOmpd0bB+DhwAEJeT9YMxAOzGoWNnSxVLRgzQX4RjxowxLPfZWu+vUybRX5MKYCoB6Y88/RGWlM9Dqr43Y8YM87suE6E/+MaOHas/iI1/mw5cf38rnFhb/Pz8lCT1p7O1JbnjKUUGHTx5IzTxZQpndT/xTWnjYTT+qgLFuu9RRUjVlNKmTWttUZlu27ZtCp9m7XfIkCF79+61fntwXL///rtWtwaDuFTqfPDgwUsvvWQkSn+Ue3l5xfskIa1u28PEV7l9+7auwiT+RKIn1edYVJcLCAiwZkWTWjSSSiCxFtYvzaioKOsnMFVqU3iL9+nHsegAVVtO/P7Vxz9AXbTShQYztN+5c0epUi1K+NYFEjopyTpZj0NlXr2lNRSx2q23Wz+UxlxLxvrwcLyNcf+ZWKkPCvnxfijd6km93x76Jtm8ebP+Y9uwYUPzpS511a9f3/qkLgkMDNQ7J3Xq1EbSJH0wAcABEYABO5TcwFa7du3Bgwfr763Ro0dbn0/70AC8fv16VcOUu/QHt+paKrkMHz7cvFla9TRtrW3btleuXHn33Xe3b9+uvyOVM7UXbU31kIsXL2bKlEkbXLNmjQpNO3fuVB42Nzt06FD9wa2ap2FJpyoY6u/4KlWqfPvtt2b95ODBg19//fWOHTvKlCmjxcxvfElo4cRNnjx54MCBKtEoKGbNmtWwfFbwhRdeOH/+/Pfff2/93pdHCMCzd94Z4nslkQys9PtZm5ztKmUwnpC7d+8q5+hYdAaPHDmi8ZkwYYL1T+p46e97neKzZ+N5LpfOuLJfcpPkP+BZ7HOyPOYBqqyqIqEK7Mo/K1euNOvAicc8JOKfeb+pZtuuXTtVgHW+tmzZov8KLVq0SHVyAwDwFBCAATuUrMB24sQJ/eF18uTJr776SulRwc9sTzwAK24VKVJEf20rdM2aNUvJ+fjx41p90qRJy5cvnzhxYo4cOVTkUQBTEO3fv78Sr6LmsGHD9HfesWPHVFR5//33a9WqVaxYMf29roqxiq7mlvv27auC55dffqntDBgwYNq0adqOAnZQUJD+lL9582adOnWUpVu0aLF27VrVrpXD8+TJE+/CDz12FXsbNGhw+fJl5cZly5apRUOh9Gu+tJaFHyEA/ytUaNJRnzt3TmdKRaRChQoZcDxbLVT5LFWqVNOmTW0fF4z/LGVs/TdH/33T9cTGjRvHrZADAJ4Ufi8Cjm727NmqeapGpKqR/lweMWKE7deQJESBOUWKFFpe1Vol2w4dOujvbOUu1X49PDz0l7e5mArCipHa+HPPPbdp0yaVJTt16qS5zs7OCpnWp+/GS2VMBW/zm2N//vnn27dvq1FhW42ffvqpYXlCzN69e+fMmaMOxLvwQ6lv+qNTaVyh1yyWXrp0SYUXFYRtb4p+VuhcdO/e3YBjq2Zh4Jmi/3z9Y8+mBgAHRwAGHFpMTMzkyZNVmL127Vr69OkjIyNXrlxpfhtH4kqXLl2gQIGqVau2bNlSRVTVgeP9cKPqGKtWrTp48KAqxirPakkjyZSuVVhWvbephfk8W9V7t2zZYv10nDZufjox3oWTQpXqRYsWaRXzoVxKv4sXLzZvhwYAAICd4SnQgENTmPT39x8wYID59ZtBQUFmcfWhUqVKtWbNmk8++cTPz0/lXwXI0NDYn3cNDw9X+xdffKEJ1TdUU03Kc1msn8soWrSoCrzt27fftm2bkvbQoUPNbXp6emb/y3vvvde6deuEFk4iFa5V8tXWcuXKpfSrSGwAAADAHlEBBhzarFmzOnfu/MMPP5gvjx8/riKqqrXe3t4PXdfd3b2NxdWrV5977rmdO3fWqlVL7VFRUeYCSqRHjx49deqUl5eXXu7fv986y3YxBdrz589b22/cuGF9Hm/GjBlfs1i4cGHPnj0//PDD6tWrq2/x3isYd+Gk3MttUuhVBnZ2dib9AgAA2DEqwIDjCgkJWbRokSqozn9REbhAgQJJ+SJf87tGjx07punr169HRkbmy5fPsHzXqxKv2tWSIUMGFWx37Nih6RUrVqxatcq6epEiRfRSxWdNFy9e/OLFi9qpFlYK1fLmMh988EGjRo3u3btnWD6aq2iqQNu8efP169dPnz5dBefTp09XqVJl1KhRCS1sJEeePHmS8j1PAAAAeHYRgAHHtWzZMqVE2+8IlZYtW6os/NB1lTaVnOvWrevj49OhQwfVkHPlymVYHsCjGnK9evWmTp1aqFCht956q2vXrtmyZZs4cWL79u2tq/fu3Xvr1q2qG2u6UqVKeqnKrRb77bffrN+6qXVVHFaiVjRV4p00aZIaixUrNm7cuJ9++kkRt7pF3759E1oYAAAAsMXXIAF26B/72p7o6GgVXeN+Y4dKvqonm4/FUl03ODg4Xbp0cVfXLOungsPCwlTUTZs2baxl1KjFzJuobWm/SryxvuA0oYUf07PyNUgAAABIHJ8BBvDoUqRIEe/3Vdp+9airRbyr27a7WcRdxt0ibrv1c8JJWRgAAAAwuAUaAAAAAOAgCMAAAAAAAIdAAAYAAAAAOAQCMGCH3FxThoaFG3gSNJIaTwMAAADPPgIwYIfSpfW8/yDQwJPwwD8wrZenAQAAgGcfARiwQ97pvAKDgv1u3aUO/Dg0ehrDgMDgDOmf8PcqAQAA4F/B9wAD9ikiIvLOPX9VL8PCIww8EjfXlKr9Kv2mTMk3xgEAANgDAjAAAAAAwCFwCzQAAAAAwCEQgAEAAAAADoEADAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAifn8889Xrlxp4OkLCQk5evSov7+/8ZQFBgaOHj369OnTBgAAgIMhAAP27MKFC94WxiOJjIycP3/+1q1bDTxNt2/f7tSpU65cuWrUqOHj49OkSZNz584ZT82DBw+GDBly6NAhAwAAwMEQgAF7NmfOnPTp02viwIEDRvK5uLjs27fvs88+M/A0DRgw4MSJE+vWrbtx48bOnTujo6OVhw0AAAA8aQRgwJ4pAPft27dixYqasG0fN25clSpVVGxs1qzZsWPHzMaNGzfWr18/T548NWvWXLBggdnYuHHjH374wZxevXp1ixYtChQo0Lt370WLFmmz165dU3u9evVGjx790UcfFS1atF27duvXr7fuSAVk7aJgwYLdunWz7iiRdse0Y8eOatWqlSpVytXVVWMyZcqUYcOGhYWFaVZMTMzXX39dvXp1zX3rrbcCAgLMVa5fv/7yyy8XKlSoRIkS/fv3DwkJUeOZM2d0UnRqdJry5s1rrj5ixAgVlrXZjh07Xr582bpTrfLKK6/ky5evQYMGBw8eNAAAABwAARiwW/v371ciUs5s2rTpvHnzoqKizHYFpMGDByt5Tpo0ycnJqVWrVpGRkTdv3mzTpk2RIkWmTZumENW9e/fjx49r4fPnz9++fVsTiqlKXIGBge+//767u/uHH36ojWtFzTp37tyoUaP8/f1ff/11Ld+rVy9zXxs2bNC0otcXX3yhjXTo0MHcVELtDqt8+fK6QjFmzBg/Pz+9zJYtm64puLm5afqrr776/vvvdWreeeedtWvXatyUadWuc3H06NEhQ4b06NFj7ty5Q4cOVWN4eLhOyqBBg3Rp4+2331aLqvcjR47UdY333nvvwoULL7zwgnnKZPjw4fnz5+/Tp4/au3TpYgAAADgAFwOAnVKmKmShvKqktGnTpjp16hiW26G9vLy6du2aKlWqSpUqKf8orx46dEg/O3fuXLlyZVWAFY+zZMliu7WZM2emTJnS19fXvKdawWn27NnWuar9/vTTT5pQfViVxt27d2s7Kh1rj999953aGzVqpGUWL16sqmNC7Yaj0tB16tTpYwtdg1AVXRcgdI4UVn/88Udl1zfffFOLqTivqxWKuBpkBeOcOXNmzJhR7UeOHNm2bZt1a0qzqsZrIiIiYuzYsf369dPZ10uVkXXFQaunSZNGL1u2bGku5uzsrHYV87Nnz24AAADYNQIwYJ+UZqdPn96iRYsbN264urpmzpz5jz/+MAOwMqdyUYUKFRo3bqzaoIqNikAqQipQtW3btmHDhrVr127evLkCmO0GlbJKlChhpl/RpmwDcKlSpcyJ0qVLG5aHbykAK3Iblg+4mrNCQkIOHz6siYTaHVbWrFnXrVunCxOrV69WrV5l22UWJ0+eDAsL06UH85lYKr/rpy5VqHiu6xpr1qw5ePDg3bt358+fr2sT1q2pgG9OnDhxQhlYlzPMl4rWv/32myauXr1q2JyyMmXK6OedO3cIwAAAwO5xCzRgnzZu3BgQEPD7778Xs7h586YKwuYnRRWQtmzZ0r59+71796paq8Sr9nTp0m3YsOGDDz5QoHrrrbfKlSsX62tyUqdObQYwU1BQkO1cF5f/XU1TljYnoqOj9VNF5mx/6d27d7Vq1RJqNxyeguigQYO2b9/+2muv7dmzRxcFgoOD1Z43b15zoJR7NVa5c+cODQ3VxQst7OfnlylTJsMyntbtWE+B+Sli22xsy3rKUqTgFwEAAHAUVIAB+2Q+9Uox2HypWuKrr766fPnyVq1ahYeH58mTZ4iFqov9+vVTElbBVhG3r8XZs2erVKkyd+7c999/37rBsmXLrly5ct++fcrG2sKMGTMS74BilarKCm8K1WaLv7+/QldC7YajunXrVrdu3VQPV2XebNHlgHHjxmmgihcv7uTk9MILL5if0Y2JiXnw4IGyrkKy4vHSpUt1mtR+/PjxeL/TSKtrIzplZhFYNV6dbtX2rQkZAADA0XDhH7BDqugqHb3++usl/9KmTZtChQqZqVjJU7XErVu33rt3T2VeRSzNWrRokWqMU6ZMUQVYaTkyMrJIkSK221R+zpcvX7NmzVq3bq0E6+np+dBudOjQwdfXd+LEiWfOnJk6dWr+/PmXLFmSSLtjUglXFd133nlHVxx0OlatWvXJJ59kyZJFZ01Zt0WLFp9//rkuPWjWe++9pzN17do186O/OmW6VDF58uQ1a9bEu2UPD4+WLVt+++238+bN2717ty5tfPPNNxkyZDAAAAAcFRVgwA4tW7YsMDCwadOmto3Krj/++KPyrXLnbP0IAAAQAElEQVTUlStXlKyio6MzZ86sIKqfKgwqIA0ePFhJTKXgN998U8vbrp4mTRrF1MWLFx87duyVV17Rups2bVJ4TqQb3bt3v3HjhgKY9qgsN3DgwHbt2iXS7rBUTtf1hV69epkvS5Qo8ccff5h3Jo8ePVrnpWfPnkFBQdmzZ1fc9fHxMSyfoB4/fvyECRPq16/ftm1ba6k/llGjRmn1N954Q6ur7K/N6uTev3/fAAAAcEhO5jdqAHA0YWFhAQEBZi3RSrH21q1bysNxk+2hQ4c2bNjw0ksveXt7G5YApjCsEm5S7qe9efOmCo9xl0yo3THpmsW5c+dy586dLl26WLNUkFe53vy4r1V4eLhK/WnTpn3olrW6zrX1AWYAAAAOiwAMIEmuXbtWp04dDw+PqlWrnjp16sCBA5999pmqiwYAAADwjCAAA0gqFSF9fX1VpcyaNWu1atXKly9vAAAAAM8OAjAAAAAAwCHwFGgAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEFwOAPYqIiLx73//+g8Cw8AgDT5mba8p0aT2903mlTPko/1HlZDmgx3zPAACAR8PXIAF2SIHq4pUbnqlT6S9sdzdXA09ZaFi44mtgUHCenFmTm2c4WY7pcd4zAADgkRGAATvkd+uu/mVnzext4B/0aMPOyXJknH0AAP5hfAYYsEOqLKmcaOCfldbL84F/oJFMnCxH9mjvGQAA8Mi47QqwQ2HhEdxM+8/TmD/Ch3g5WY7s0d4zAADgkVEBBgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYADx27Fjx+bNmzURFhb2yy+/BAY+4WfVBgQEjBkzJigoyMDDRERE3Lp1Sz+NpykyMnLfvn3h4eGPuUwSHThw4N69e3Hbr1y5cvHiRQMAAOApIAADMG7evOnt7f3hhx/aNs6fP3/27NmaCA4OHjRo0P37940n6tKlS+PHj1faMZAwXSaYM2fOqFGj5s6dq5/z5s174lcirBSwV69eHRoa+pjLJERvpL1790ZFRWk6Ojp69+7dV69eNWcdPHjwwYMH5vSJEyeOHj1qAAAAPAUEYACGwlX27NkXLVoUExNj/FOKFy9++PDhwoULG88I1av9/PxsW/Ry3LhxxtO0YsUKd3f3AQMG9OnTp3///s7Ozmoxnk2K7mvWrFENWdMpUqTo1atXiRIlzFkbNmzQVRgDAADgKSMAAzBmzZr1/fffK2jt3Lkz6Wtt3769fv36uXLlqlGjhiqT1nYFxfLly+fNm7dTp07Xr19PqPHGjRvlypUz637h4eEqMisOlS5dWpvq0aOHuqT2jz76SB1TaVo5uXXr1opP1r2oQN2kSZOCBQsqR127di3xdlWb27Rp4+PjU7FixV9//dVIvsmTJ3/88cfasrpttmhCLwcPHjx16lTjqbl161aePHlcXP78zvaUKVNqj/Xq1TNnhYSELFu2TAOrDhw4cMC6yr59+yZOnKhxmz59ulY3G9euXavzpeXVbg7L8ePHtcAPP/wwY8YM60HJnTt3fvvtN7X7+vpqF/H26t69e1pLy+jSibkLlW3VYl1Au9CImcVe09mzZ7VBTUyZMsU8jzNnzjx37pzKwhMmTFBJeeXKldOmTYu1o4SOEQAA4NEQgAFHp+iifFi7du2WLVuasTMp7t+/37ZtWwXgpUuXKlsqbZ4/f17ty5cvVy4aNWqU8owCm4qWCTWqEnjhwoXo6GhNv//+++vWrRs5cqSijlLZ5s2b/f39Dcu92WPHjs2UKZPCleLrq6++amaqLVu2qCjasWNHtWs7Xbt2NT+VmlB7ly5dtLrmDhky5IMPPti9e7eRTC+88IKivo5RE34WmtBLRfpGjRoZT422v2nTJoVV8wPAGr106dJpQrV6VeyDgoJatGhRoUKF9evXnzp1Su3qkqqp1atXb9++vZeXl5k5Dcvtx7t27fLw8NB1BG9vb428TlyRIkXatWuXOXNmDZcWMJfUKGl1JW2lXNsrDrZWrVpVqlQpvQFUkdYVh7CwsNy5c1+5ckXh2Vzg5MmTGTJk0FzrKjly5Hj++ec10bRpU10K0YSufeigdNlFh+Dq6lqpUqVYI5nQMQIAADwyFwOAY5s9e7aynJLViy++qHAyYsQINze3h65llouVajStLKSaoVKl0tqRI0fy589fuXJlJyenn3/++fbt21og3kYrxafff/99wYIFVatW1cuSJUsWLVrUOlcv33rrLcNyy7Ry2o4dO6pVqzZ69GilaMVatY8fP75YsWIqe2r78bYrOylADh06NKfFoUOH1HkjmbJkyaJSZLNmzZQwGzZsaFiqygrVipGaZTw1qvfqGoH2ojSoBK7R0EFpGFWzVZW1X79+io6G5e5iHWmhQoWyZcvWp0+fVKlSqTFNmjS6fBAQEKAJvcyePXudOnXMzepkPWdhtisY64pD2rRp9bJKlSo6j4YloO7duzfeXql0b969rGNX/VZjoiyt0Th9+rRyr9rPnDlTs2ZN21U05gremtDlDNs3WIoUKbJmzaqfCvaK4rarJHSMBgAAwKMiAAMOTbFq8uTJw4YNU9JInz69qqYq0jZv3vyhKyrPKDPPnDlTtT5Vg8+dO2c+nEkRWilUQauphXJRQo1W2oLqumYYE8Uw2wBsXVh7LFCggEqXCsCqQGrC+gxhTRw+fFgBOKF2lUO7deum+Ko8qdrmIwRgw1LDVEFS/Vf01UvlvcWLFyu8GU+TBlmXJ1Q7vXjxoq4jLFmyRGdKhXeVoFXcNh/TbVjSuPkZWh2ari8cO3ZM8dV8wrb1ic1mNDVp9bJly1pfakgNy/3GhiWgmo0KtwndAq0obk64uLhosVu3buk0KZnv379fo606sN4MuuRhPJ6EjhEAAOCRcQs04NC2bNmi0t+AAQNKWCgyffrpp0lZUbW+6tWrz5o1S8VD66OMRNlVZUMFzm3btqmiq7prQo1WXl5eyuG234dkfSCwYYlY1mlVPq3TqlJm/8t7772n0mgi7T/99NP06dNVFx08eLCql4rrxiNRAVnFWG1ZCVDp1yyA/wM0yEqYbdq0URI+cOCArlOYd0Sn+UvBggVr166tYTxx4oSq8VevXtXBqhqc0AZ1xUFF13hnWQfZdrRjsb23WSfIfK6V+qCAqoKz3huq09qeuEeT0DEaAAAAj4oKMODQlGA7d+78ww8/mC+PHz+uOu3du3fNu1UTsWDBApVA9dN8ad2CZMyY8TWLhQsX9uzZ88MPP3Rzc4vbaF1e20mXLt3s2bP79OljWL5/+KEBVSla/Xz11VfNlwpFZlpLqF0/a1p8+eWXDRo0UOFaSdh4JAq9ysBKgP9A+g0ODlbNWRVg8x5mw3K7smH5DiHVXRVxK1SoYI2p5sGqBqvSroKiYSmAr1u3Lt4ta/UbN27ky5fPfHn27FnVh5Ny67tJtVmznqydalrRVNNaXRs8c+aMArBZUo6X+anvuOIm24SO0QAAAHhUVIABxxUSEqJ81bp1a+e/qJZboECB+fPnP3Rd5Z/z589fvHhRIW3kyJHWe1M/+OCDRo0amTchX7p0SSlRuSjeRtutff/99yoLd+vWrV+/foMGDYp1j3RcKiZ/8803O3fuVO1x/fr1qsfu27cvoXb1TXv09fVVfFIfVPF+zLtz8+TJo1Kw8fQp/oWHh69YscIsievnxo0bdVCurq6q7moM16xZE2yhywpz5841V1GyDQ0NVUVdCye0ZRXGNUo6faqyHj58WOsmK1hu3bpVuTcsLGzTpk36qQEx21Xq37x58/3793VRI+5ausyh99ipU6fMirEtvZ0UwmN9vXBCx6hpvUXNT5InNA0AABAvKsCA41q2bJkCRo0aNWwbzWdB9+jRI/F127Vrt2rVqnLlyqVMmbJv376lS5c229966y29LFy4sIeHhwLMpEmTEmq01aJFC9U2V65c6eLiMmTIkO7duye+9y5duly9elWB+datW4pVX3zxhXqSSLtS8Xvvvff2228rA6vi3apVK+MZ8eKLLy5evHj8+PGKjlFRUYqa5ie0Next2rRRLXrMmDGqqaq9adOmaq9evfq8efN++uknheT69eufPHky3s0WL15cFwKWLFkSGBiYOnVqbTNt2rQJfeI3Lu1FWTQgIMDb21vrenp6mu26sqCNqAQd7/3V6lLFihWVmS9cuKAzbjurfPnyap84caL5hHBTQseooKuLL8rwGTNmTGjaAAAAiI8Tn6cC7M+hY2dLFXvcRxAlhSKQgpn5zGFbKuWpdOnl5fXQRtPs2bMVj80UfefOHRWi1RIrmcdL5T4VD+NWL+NtV6MCW0KffX0iHmHkk7KKqqwqq6ZPn958HrIt8xlXsdoVBd3d3ZNypMqruiphJJ9+d2jdWKdep3jcuHGqw5u3aie0osTbNyV8208XW8U9Rtt7oROaflb8Y/9aAQCAQQUYwOOwfjY1FneLpDSarl279v7776vaqZCjOrDqhJUrVzaSIKFaX7ztz25hUIX6hL5sKW4kNiw3QhtJ82jp17B8rDrWXk6cOLF///4cOXIkkn7NFRPKqPGmXyO+Y7TdQkLTAAAAcRGAAfz73nzzzQoVKmzdulUlxCFDhjRt2vTxnyGMf1hAQECBAgXKlCljAAAA/FfxJyaA/4RqFgaeWbqEYQAAAPy38RRoAAAAAIBDIAADdsjNNWVoWLiBf5bGXCNvAAAA4L+KAAzYoXRpPe8/CDTwz3rgH5jWyzO5a3G1wpFx0QQAgH8YARiwQ97pvAKDgv1u3SVZ/TM0zhrtgMDgDOm9krsuVysc2aNdNAEAAI+M7wEG7FNEROSde/768zosPMLAU6YinmKM0m/KlMl+sqDO1MUrN9J4ptIW3N1cDTgGXTTRP09dNMmTM+sjvG0AAMCjIQADwL+MqxUO6HEumgAAgEdGAAYAAAAAOAQ+AwwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAEAAAAADoEADAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhuBgA7FFUVFRwSFhISFhkVJQBAACSxsXZ2cPDLZWHm7OzswHA7jjFxMQYAOyL0u/d+wFurin1KzylC9e5AABIqojISF0+DguP8E6XhgwM2B8CMGCHAgKD9U/bK01qAwAAJB+/SQF7xWeAATukS9eq/RoAAOCRuLu7hoaGGwDsDvdGAnYoMiqKO58BAHhk+jXKQzQAu0QFGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAEAAAAADoEADAAAreZwTAAAEABJREFUAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAzgSbp69eo777yzf/9+I5kuXbo0derUkSNH3rlzx3j2HTx4cNy4cX5+fsZ/W1hY2LFjx27evJmstfbt2zd+/PixY8cma62oqKghQ4b4+voaAAAA/xICMODQBg4c6O3tff78eeMJ2b1795QpU5YtW5asta5fv16nTp1BgwZt3749KCjIePZt2bJl8ODBly9fNv6rAgICOnTokDNnzurVqxexWLt2bVJWXLVqVf369UeMGHHgwAEjOW7fvj1mzJjJkycbAAAA/xIXAwCenObNm8+fP79ixYrJWmvv3r337t1T+bd79+4G/hHt2rXbuXNns2bNateurQsQEydOVB5eunTpQ8/dunXrYmJiVq5cWbhwYSM5smTJsnr16uzZsxsAAAD/EgIwgCcpRYoUtWrVMpLp2rVr+lm8eHED/4irV68q/bZo0ULlerOlcePGdevW9fX1fWgA1slKmTJlctOvqVy5cgYAAMC/h1ugAcQvPDz8iy++qF+/foECBV566aUVK1ZYZ0VFRX399deqHBYpUmTQoEEHDhyoVq3a77//rln79+/X9Ny5czU9fvx4TR8/frxnz54FCxZU+Jk0aVLcHXXp0uX777/XRJ8+fbT87du3Nb1t2zatpe3XqFHjo48+8vf3Nxc2t6k9qlzp4+Oj0rGCnFoWLVo0dOhQRWjtZeHChUFBQW+++aZ6XqFChYQ+qhoWFjZs2DClvnz58rVs2XLNmjUJ7UKNKl02adJEL8uXL//2228HBwdbh0KjVLVqVc1q2LDh8uXLY+3i9ddf11Fog9qs7azp06e3atUqf/782suSJUus7Xfu3Ondu3epUqUKFSqkIu3Jkyfj7Xzi4/PQMT927Jh+li5d2tpStmzZP/74Q5HYfKkNDhw4UAer43rhhRfMwXnw4IE2vnHjxoiICE2o5wktKeZ50bnQO6Ro0aKjR49Wo1rUWwMAAOBfQgAGEI+YmBglt2+//dbb21s5R4FKMdX6GdFPP/10xIgRkZGRzZs337179zvvvKMFzOCqZKjp+/fva/rmzZuafvXVV5UD69Spc+PGjXfffffKlSux9qWMqqRqWMqDCtWurq4HDx5U9tuxY4dyqdLphAkTtHeFLus2FZVVh1TgTJMmjbKuWhTItZbKmHfv3lWA7Nat2+nTp9u0aaP+KHGtX78+7gH27dv3u+++y5gxow7wwoUL+rlq1ap4d6HI1759+8DAwB49eqjy+euvv+qgzO18+OGH2kjNmjU14eTk1Llz582bN1v38t5772lrytiXL1/WAtagq4sF/fv31xF179791q1bL7/8snVsFUHVjVdeeeW11147ceJEgwYNrOHW6qHj89AxL1GihH4qG2/dulVDYTZqXwqo5rRGY9q0aQr2uvahznfs2FFXBFT41QnSiGkBTVSqVCmhJdVunpfhw4evXLlSm82TJ48a1aLiswEAAPAv4RZoAPFQYvT19VUVUcFSL1XzVKVRNdXDhw8rU6map4rf0qVLlYiio6MVxhLZlGLVxx9/rInFixcrl6pG2qtXL9sFBgwY4ObmpiSm9sqVK6tFmc3Z2VnbN1PTDz/88Nlnn82aNUsRy1ylevXqI0eONKfNdJctW7Y5c+ZoQltQ/FPuVdpMkSKFInrTpk21caVB252qUDl//nzrAaqGqRyu8ql6G3cXly5dGjJkiMKql5eXXip2rlu3ThVyZXV18rnnntPlAMMSBZWNFYOte9E2zeK2grG6oZSrn+qbLhk8//zzs2fPVg81Xa9ePR2ySs3nz59XbVbj/NZbb2mtRo0aqfKsmrC5X6uHjs9Dx1zDpYK5LmQ0a9ZM0wqoCt6q9uuIDEt21bS6YY6G+qzqt3pSpkwZlbs1GhcvXtRE4kuaO0qVKpWOOnXq1AYAAMB/ABVgAPEwv8dI2cl8qTrwCy+8oNqdCoyHDh1SS6dOnZR+DcuHflWuTGRTWtGcUJlUP1W3NBKlwrJ2oYXNdCddu3bVT9tnDitPxlpLMcycKFasmGG51VYds75UlTXW8ubWVHq1HqAqxrbf0GO7CwVUZTxPT09VOI8cOaL6dmhoqPl1Tblz59amvvzyy6NHj2oBhXklZ+uKSoPmhJKwu7v72bNnNa2LCKrWquitTelIT506lT17dkXfBw8eZM6cWdcCZsyYoSCtfRUtWlQbzJs3b3LHJylj/sYbbyip6hQrsevAVUPWRQ1VwjVLeVUJXJlWXdKwhISEGJaPDcfdyEOXfPHFF0m/AADgv4MADCAeJ06c0E8fHx9rixnDTp48acYblQ2ts2yn40qfPr05kTZtWsOS34xEKYOFhYXZpj6lU5VAjx8/bm1Jly5drLU8PDxsX5qVTMOSz+PbiaHYafz9AFNYxLsLZV2FTC1cunRpRUrzEoBp3LhxlSpVUq1YFXLlVVVizVuRTdZj18UC5UBVy42/xvbnn3+u/Rfzc7Nq1zK///67DlYld+2ratWqM2fONJI/Pkkcc9WuVaBWDt+4cWOrVq1US1cqNmepnlyxYkXtRUfXunVrI2GJLxn3TAEAAPyLCMAA4qHCpmH5el5rizmtdsU846+nKJmUoIwnJ0eOHAqitrsODAz09/c3u/SkmOXTJH4etXfv3itWrPj888/37Nmj/Gn9ALC5ncWLFysSjx07Nl++fD/88IOqwYlvLVeuXIblvuULf6cCrNrr1q27a9euzZs3K0sHBQX169dPdVrb1Z/I+KiIrbhrBnIpWbLkhAkTVIg2K//qwGuvvWYemmJ5Qg/iStaSAAAA/wUEYADxMJ8PbH3yc3h4+Lp161TNU9RRWFJd8aeffjp8+LBhqQkPHz7ceHJUyy1cuPC2bdusD39auXKlflo/VvpEmAe4dOlS86UOsHPnzgMHDox3YcU8FUu7deumiKtaq5kSDcsTv1atWqXSa86cOTt06LBgwQI3N7eDBw8mZdfK0l5/uXjxooZXpWOFUm3wxo0bxYsXf/31183nV5vjbPVExmfOnDmlSpWyHr5heZx1aGio+eVGu3fv1k9l72rVqmXOnNm24h1L0pcEAAD4L+AhWACMUaNG2d6q2qBBg/r165crV27YsGEBAQEFCxZUXlLJ1wy6qVOnnjx5ctu2bWvVqqW1VEtUDXDcuHHGk/Puu+++8soripRdu3ZVqfPHH39U8tQejSenXr16yrQ6IlVZlfrmzp2rGGk+sCquEiVK7Ny5U5lfS/r6+lpvNnZ3dx80aNCDBw+0Hc1avny5+ezlxHedIUOGHj16/PLLL4qyWvj06dMjR45UXb1ly5bKwDpq7e7DDz9Mnz69GYBr164dawuPPz6tWrXSydWJU2RVcr579+6vv/6qn++8845hKQjr59dff63B8fPzM7/BKF5JXxIAAOC/gAAMwFD4sX2pUl7lypX/+OMPFSGVbAMDA318fD766KPevXubCyi2qYC5evVqZZ5GjRq5urpqMdunHz+mFi1aKIuOHz++b9++CpkVK1bUS29vb+PJUficOXOmDnDChAk6QKXNoUOHWh/6FYui78svv/zJJ5/oGJU5VSvWWoblY8MapQEDBmg7MTEx5md31eeH7t18avSiRYsmTpyobb7wwgvffvutYfmg9W+//fbBBx906tTJsNztrGsNuhIRa/XHHx+F8LVr17766qvmfkWd/+qrr8yHRdesWVPF8DFjxnTp0iVXrlzfffddQuk66UsCAAD8FzhZvwESgN24duN29qwZjSchKipKhcFMmTJZWyIjI2fNmpU1a9a6deuaLSpgfvnllyqNPv/888YTpV17enpan2j1NOgAb926pcN56JLqjJubW7zPNA4JCbl371727NmNZLp27ZqyqDYbq1119ejo6Idm2scfH39//1OnTumSR9yPEJsjkyVLlode2kj6kgDwDHmCv0wB/HcQgAE79LR/Z7dp02bdunWql5YoUWLv3r2LFy9W9tu4caOqkQYAAHaBAAzYJQIwYIee9u/soKCgr776Shn48uXLefLkqVix4pAhQ7y8vAwAAOwFARiwSwRgwA7xOxsAgMfEL1PALvE1SAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA7BbD/wD79/3t22JjIzatHVPWFi48fSdPX/p1JkLBgAAAP4zXAwA+A/wDwj64JPv6tSs1KZFA+Oxbd62d+OW3ff9A5xTpHB2TtG0cZ2qFcuoPSw8fNa85SWLF3JzczWesr0HjoWHRxQq4GPYi6CgkD0HjlSv/JyG1AAAAHgGEYAB/Cfs2X8kXdo0+w8ea928gZOT8ThWrd26av2213q0z+eTy8nJ6cLFqxOnzomIiKhVrYKBx/DAP2D2vBWVypd2dn7qlw8AAACeBudPPvnEAGBfAgKD03imSsqSMTHG0pUbZ89fsWLN5qvXb+bPm9vVNaXavx31q2dqjyUrNk6ftfjYiXPp0qXJlCG9ucrlK9f/8F2mIHTy9Hlv77Te6dOpce6i1Wo/cPjEtJkLT5w65+mZOlNGbyM5Zs1d3qZFwxOnz+fOmdU7fdp79/1HfDfxuTLFzVJtRETklyMn5MubK62X56Zte6bOWLBo2bqjx8/myZ09jWfqvx9RzJiJM7q0b16sSAEnS5JOl84rc6YM167fLFIon7azev22YkULaAvzFq0+e+FysSL5XVP+echBwSE6qJm+y/buP6r1cufMpsa79x6M+H5SrhxZJ031XbpyU2BwsNpTpkzSpcOjJ85ERUXfvH134q9ztu7YFxoaXiBfbrVfveb3w9hptar/L43vP3R84ZK15cuV0PSdu/dnzF4yw3fpgUMncuXM9t3oqcWL5E+dOsFTOeyb8Xnz5EjrlUbT9+/7D/9uYpWKZVxcnHX6dB5nzVvhu3Blw7rVIqOi5ixYOXPO0g2bd2kAl6/erHHImT2L1tp34NhM36ULlqy9cvVG3jw53d3dzLOfKpX7vMWrtdYNv9tZMmXw9Ex19PiZyb/PCw0N0/jcunOveNECBgDYtaT/MgXwDOE2NsChLVmxYeeeg80a1+nepXVAQNDPv85WZjMsSWzWvOW5c2Ub8FqXPLmyTfp1jjKPYblRedwvs5Qn+73aKX++XBMmz9aSag8ICFy3caf+UOjTo32GDOmn/D4vOjom6d247ndL21FAfa5MsZ17DqslfTovRd/DR0+ZCxw/dS4kNEyZ7fjJc/MXr2nSoFb/Pi8pfo+b9EesTd26fS88PEJ9s20sWaxgy6Z1rS+Xrtj4QsNaXTq2uHX7rjKeYYnNU36b5x8Q2LNbm7q1KysbHzxyUu1RUVG379xbtmpTy6b12rRosGffkR27DhhJptCo+vOrL7drVK/GqnVbt2zfq0bFUXXSukxYWBsbpYgAABAASURBVPg9yweVIyIjJ0yZHR4Rodp1g+erKY1r11o4ke1rAa1lTkdFR+ulDsSwnL4FS9ZoMPv27KCXc+avOH7ibIfWTbp0aLF954FTZy4ox6r91JmLv89aVLlCaZ01rf7zlNnm7rS6Brly+dI9u7a5e+/+gqVr1ZjPJ2frZvU10a1Ti7q1KhsAAADPIAIw4LgUltZt2tGpbdPSJQqrONm9a2sVJy9cumrOVYmvfp2qeXJlb9W8vqqRO3cfVOOuvYeyZPZ+sVk9tTeuX1Ml2V17D5vL58yRpWHd6j65c7Rp2UAp7uz5S3H3GBISGm9Pdu05XLpkEWfnFOVKF9t38Fhk5J8xrHzZ4gePnDAXOHTk5HNli6ui65Mnx+cfDdAs7ejFpnVVoY31mKtrN26qjOmVxtNIWKN61YsWyqejrlHluXPnL6vl0pXr5y5e6dGldf68ucqXLdGkQc2NW3ZZl2/WqHahAnnKlSmmrHjor0yelONKkcKpW+eWeX1yVipfSlcZNmzebSTs3Pkrd+7c6/5nH3KXKVWkScOaxmOoVa1CzWrltSkN5radB17q0Kxk8UI6ih5dW4eF/u8ZYGs2bKtXp2rVSmVV+32504vKzxf/OvtVK5XR8RYq4NO4fi2V9FUx9vBwz5olo2blyJ41g3c6AwAA4BnEZ4ABx6X6p4qlimfmSw93t2xZM1+5ekMhUC+VnaxLqkXZWBPHT55V2dDXUjWVI8dOO/31gV2ta06kdHHJkjmj0lTB/Hlsd7dx627fBauGffxGWq+/pVPVLDdt29O6RYP7DwJSp04VHRV1+NipsqWKKoguW7kpLDzCNaWLSsF9e3U0O6lysSqxd+498PcPUEto+N8e6eyZOpVqqqpkujg7GwnIljWTOZEzR9bAoGBN6Ki11uLl6832U2cvmsdryvrX8jmyZ9kepwJ87frNL7+d0KNLm7Kli8aapcsEGg3rGM5btCqRiu7VazeyZ8vi/tfTuWzH/xFY+6zhiomJ9sn911n2cM+e7X9nSgXqO3fuBweHmC+DgkOuXPUz95sty/9Wz5Uji9KvauOEXgAAYAcIwIDjUrBRerV9oq+Li7P1llprcrNtj4yMdnNzTZfOy2x/oWGtzJkymNMpUvz/duJ9iFU+n1yqoHrG+UTr6bN/3pE7fdZia8vCJWsVgL3Tp82ZM+vxE2fTpEml3KswqVmqD2vJYkUL5MyexTud1579R2NtLUe2zKps37x1J/tfgTwua1et6V0XAgzLp4XNl2VKFqlQrkRMTOzlU8T3eK706dNWKl9aBfC4s1z+PobR0THmHea2Yv7ajbuHe0jo/1eSQ0PjryonkbWjGjrtQfHexcXDbAm2qVdnypje9mzqioA5/f9n8zGfSAYAAPBfQgAGHFfWLJmUc1TANLOlstm1Gzcb1athzr109Xq5MsXM6ctX/ixOaqJQgTyeqT3q1a5iJF+uHFk7t2sat33nnkNVKpbp1PZ/s9SHr76fGBQUkjq1R4WyJQ4eOZEmjedzZUuYczdv21uzWoUWLzxvWCrYvgtXxdqaKpyZMnpv2rqnQ+sm1saVa7ecPX+5b8+OCfUtR/asSuZ1a1W2RmKFxiRGPyXMLh2axzvr8tUb1u2ouJoxQ3o315Rurq7R0dH37vuntyTPB5Y6tuTJmc3v5u1LV66bz9/avuug8TC6GHHr9j1dWdC06ufxLqOd6vrBrr2H6tSsZFi+nVjjZs4qkC9PkUL5ateoaCTnkNV5AwAA4NnEZ4ABx6Xab/myJWbNXX7rzr2g4BDfBStTubvnzZPDnLttx/5jJ8+qSrxj98HDx06XK/Xn/b0qzB4/eXb7rgMqCPvdvPP51+PWbNhuPAZtf/+h4+pGihRO5v9U2lVVee+BP0u7ZUsXO3bi7P6Dx8qXK24u7+mZ6uLlayEhoYGBwebDmeJSHN26Y//qddv8A4JU2lX/V6zZUqFcyUS64ZM7e6pU7rPnr1Dw1v8mTfMd98tM47Hdf+C/ZMV61bevXPNbuHRt+bJ/HkXmTN6qrq/fvEvtSvvbdv7vnuoc2bPUqFJ+9ITp02cvGT951oWLV6zb0Yk4ZHkoVywaK10+uHvvQWBQsEJ+Qt3QxYX5S9ZMnDrntz8WzZq3wnp7c6XyJZev3nzuwmVl2uOnzr394QiNrZGwDN7pVMc+cOi4+SFtAACAZw4VYMChdWz7wrQZC4ePnBAZFZUrZ7bXenZ0++szqC80rLVgydpr1/280ni2b9XYxxKMs2fL3LVTy0XL1k2fvVjV42qVyz1f87EeCHzwyEmlwUIFfGwbnytTfOfeQzWrlfdKk1qxMCAwyJrZmjasPWHKrEEfj3R3c1WvDhw6EXeb+fPmeql9MwXghcuUkJ1UodWSFcqVSKQbrq4pX+vRcdrMhR98+p0q4YUL5n2584vGYytXupi/f+DAj75RbixTqqiG1LDcXfxSh2Z/+C5bt3F7powZKpUvZQ23bVo2KFI43+kzF5Rsq1Yq++b7w812HUv+vLlLlSgca/ttWjYcO3Hmx8N+Ut27eeM6R4+fibcbZUsXTZeu25Fjp7VrFc9/mTbXbNcuVIie+OscjXAqD482LRqY9wIkRO8NFf8XLl2nQN6zaxsDAADgWeNk/fgZALtx7cbt7FkzJn15FQBVibVGX/nw0x86tX2hRLGC5q3IcVdRxdjdzc3288P/JPXKw8PN9lPH8XrgH6BaZbKe3hQWFm44OblZvgz5SdE2UzinsP1MtWG53zgoKNjT5hsmw/4sVh8oW6qYYr9hecCYarYjh72bMqWLTkePrq3Nh5PFpfKv4quK50YCdu09nC1LxlyWO6u18ODPfujXq5PtRQeV01OnTpXEW77V85iY6IcOPgA865L7yxTAM4EKMIA/a5K26ddWvOn3z/ZU8bf/MxLqVSxpvdIYyZTQODyOeLeptGmbfv9czDXlkaOnN2zeVap4YZVkDx89Va92VaVfBeOw8HDrrelxxX2uWCz3H/jPmb+iXJniKV2cDx87nc8nV6xHTMfqSeLUcycn0i8AAHgmUQEG7NDjX7TetG1PscL5M2ZIb+AfpP8g7z1w7Mq1G+5urvl8chcq8Of3SKlme+joqaoVyxiP4fTZi/pfRGRkrhxZy5QsQv0WAB6KCjBglwjAgB3idzYAAI+JX6aAXaIIAAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA3bIxdk5IjLSAAAAj0S/RvXL1ABgdwjAgB3y8HALCQkzAADAIwkNDXd3dzUA2B0CMGCHUnm4hYVHBAQGUwcGACBZ9KtTv0BDw8JTp3I3ANgdp5iYGAOA3YmKigoKDtUF7MioKAMAACSNi7Ozar9Kv87cAg3YIwIwAAAAAMAhcAs0AAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIfgYgCwR1FRUcEhYSEhYZFRUQYAAEgaF2dnDw+3VB5uzs7OBgC74xQTE2MAsC9Kv3fvB7i5ptSv8JQuXOcCACCpIiIjdfk4LDzCO10aMjBgfwjAgB0KCAzWP22vNKkNAACQfPwmBewVnwEG7JAuXav2awAAgEfi7u4aGhpuALA73BsJ2KHIqCjufAYA4JHp1ygP0QDsEhVgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMID/efDgwdmzZ42nafny5RMnTnzoYgcPHhw3bpyfn5/xGLZt2zZw4MA7d+4YybRv377x48ePHTv2SfUkrlu3bmmz+/fvN56mJI72P8Df3//o0aMBAQFJXyUwMHDOnDnffvutToGRHI983gEAgCMgAAMwFDNq1KiRL1++ChUqFCpUqGvXrpcvX461zP379zNnzuzt7Z2skLxo0aItW7ZYX06bNm3IkCEPXUurDB48OG4fkmXevHmTJ08+cuRIstZatWpV/fr1R4wYceDAgSfVk7iuXbumzW7cuNF4mpI42k/VqVOnqlSp4uPjozdYnjx5atWqdfHixaSs2KpVq969eyvDJ/fqw6OddwAA4CBcDACO7ffff//iiy+8vLw6dOigoLJw4cIlS5ZcvXpV2cPV1dW62OLFiyMjIzWxYMGCd955J4kb79OnT/ny5atXr2784z755JMWLVokd9fr1q2LiYlZuXJl4cKFDTweFbobNWqkWq7eBhrPQ4cO/frrr7q+oNJ36tSpE1nx3r17e/bsadmypaKskUyPdt4BAICDIAADDu3YsWPvvvtuhgwZVOrMkiWLWgZZ/PLLL0OHDh0+fLh1yfnz52fPnj06OloTSQ/A/yJPT09VHY1kUm02ZcqUpN8nYv369ffv3//mm2969OhhtugKi95Xa9eubd68eSIrXr9+XT9LlChhJN+jnXcAAOAguAUacGhz5swJDQ39/vvvzfRr+uyzz/LmzavKsOKu2XL79u1Nmza98MILvXr1UmY+efKkdWHVjV9++WXryw0bNlSrVm316tXbt2/XhDa+b98+Tfzwww/WZS5cuNC2bdt8+fI1btxYyz+0k1euXFHkrlChQqlSpV5//XV1wDrLz89v4MCBZcqUKVeu3KRJk2bOnKl9HT16VLNUPNT0+fPnNf3qq6+qnKh21QaVwWrXrr1169ZYe3nw4IGW37hxY0REhCZ0XHF7sm3btp49exYpUkQR66OPPvL391fjsmXLtPzOnTvNZcz9aknz5dSpU/Uyoft+VRE1j0tHcePGDbNx/PjxWuXAgQNmTX7v3r1qvHz5snmklStXfv/991UjtW5Eo92kSRMtqWL722+/HRwcHHdHISEhHTt21GJmtvT19W3QoEGePHlUKdXZt55oW+Hh4V988YUKtgUKFHjppZdWrFhhnZWU8TQsl1f0U0dnbdFbZdq0aYUKFUqk5+pPly5dNDFhwgSNw6pVqzR95syZTp06FbXQgegtlNBY2Z53AACAWAjAgEM7ePCgs7OzspBto4eHx/PPPx8UFHTu3DmzZdGiRcpIzZo1UwY2LNVg68JKJtbFJCAg4Pjx40qG3t7eykXaePr06TVRsGBBc4HIyMhXXnlFNedKlSrt3r1bUUf5NpEeKpe2adNm1qxZykh169ZV2tRLcxUltG7duinwKEvXqVPnxx9/VAbW3hX2DMv9t5oOCwvTtPLn/v37e/funTt3bkXlQ4cO9e/fP9aOVPhVPzNmzKhpTah7cceqXbt2O3bsUPbTHhXP1Hml5WLFimlH1o86a6z0cs2aNeZLZTz1RPuNe2gLFiwYMWJElSpVFER1FN27dzdk0TFUAAAQAElEQVRvMr9586a20KdPH5WjGzZsmCZNGo1n+/bt582bp5dVq1bVtQkduHathZXYNSswMFBVVhWulaiVTmPtyBzzzZs3q/qaLVs29VDL6BTopTr/+eeff/3117FWiYmJ0bWGb7/9VudR2VL90cGqcmvOTcp4Gn+VcHU9xfoO0bE0bdpUVxAS6bneKroooAldhdGJ0KUZvQd06rXH1q1b16tXTxcXGjVqZJ7ZuGNle94BAABi4RZowKEpuihv2H7W16RcZFgin6p/hiXxKggpqinQqnynlypCJr5lRRrVD6dMmaIYowlre1RUVL9+/RRiNa3cpQSoSGm+jJdi7alTp5SOzJtmFZmUoIYNG6bSn4Lcrl27tDVFOMOSeJWXEtqOkrkWU07W9HvvvTdx4kTVJ83DNKVKlUr9vHTpktKdbYet3n33XR3+0qVLlVf1UjVtRTslc1VHlQMV5tWo3KUuqUqpgrm5ltpr1arl5OQUd4PakRbLlSuXYbnz/Jdfflm4cKEynjlXtdmRI0ea0zreEydOKPyr/KuXysDKisrPKqQrBg8ZMkTh2cvLS7MUztetW6dLA7bn9M0331SlXV01U70OQf1R5NaVDq2orbm7u8fq2/r161UlVrnbzMYqz6rore0cPnw4ieNpdkahXaVjXbxQ6NUR6URXrFjRnJtQz3V+9Z6ZPXu2sq6K3pp18uRJ7VqhVwOrlxr/L7/8UnnYHI1YYwUAAJAIKsCA41JRNzg42NPTM+4ss1HVOcNym7Fqbo0bN1b800vlk9OnT5u3GT8CRS9typyuWbOmftoWkONSzkmbNq31I6PKPIrW5iOald71U7VQc1amTJkS+WRp6tSpFUTNaXNCwdtIMhVRtTt12Ey/0rVrV/00e6INKuiqarpnzx4l/I8++kjtKtsq4iqWW/cbi8bBTL/Sq1cv/bQd1c6dO1unzfurFdEPWZj1ZPNblJQSFQ51vi5fvnzkyJH79++HhoZavwRIeVIpfcaMGbqCYO2GDkFdHTBgwNatW5XYX3755bj3e5sbt46tLn+o+H/16lVVXI0kj6eLi8u0adNUr27SpIkqtKrPK8Qq4Zsl+sR7bktn/K233lL61VtR1V3zbWl744DtWAEAACSCCjDguFKkSFG8eHGVFhWHYpUobT+9qUKr+WBk8zZXM/Kpsqd1jeRTZdL6BOB06dIZlhyeyPLqnuqBti0+Pj4qKiqRKlPpZdasWa2zsmXLltB2lKJ1vLb7VVI1kuzChQvKirY9USZU6VJ5zLAkwN9+++3MmTOq6FaoUEF1UR3m9u3bzW++TSgA58+f3zptbllXFqwtZidN5idsY9W3NTL6qcSocKgCrxkLY9GJMz99bWZOk8q5irJzLVT71RUNhWTbYbRuXEMdq4cqxmbOnNlI8ngqAzex0Fles2bNV199pdry6NGjVfFOvOe2tGWz2G6N37HYjhUAAEAiqAADDq106dKKH3HLuSo5qt5r3tFqfuJXlbq9FubnVOfMmWNdWIU76/QT/+ylypXmc5us9DJHjhxKVuYNsbbPxHp63/6qPSrv2fZE46Yar1mMNSOuisCbN29WTFWqVKVaYXjXrl3KjdYybyxmgDeZT8DKmTNnvEs+99xzyvYX/k6RW7N69+6tywGff/65is9qjPsB4AkTJqjzqrVanwul7o0ZM+bUqVOqDCv9KgabD52yZR6X7fGa0/F+mDkhOijrt/hq9Bo0aKDOaHrfvn1J6bnVKIs2bdpoSHWVQdVsAwAA4JEQgAGH1rBhQ/187bXXbEPs+PHjd+zYUbduXTc3N5UKNf3iiy8qtGyzUGGzT58+V65cMUvB2bNnVyaxPpTYfGSxlWKq7fOKH4Gq0ApR5h25huVzsyq6Krcblk9+6ueHH354+/ZtlTqXLFmiurTxdHh4eBQuXFiHbz75WVQS188yZcroZ4YMGUqUKLFx40YdvhmGFYPNAJzIx5JVETVLxLJw4UL9TKiorr1oEO7fv+9loQS7bt06s1ysXSged+vWLV++fJplHSiTzmDbtm0nTZoUHBzcvXv38PBww/L0KR2IFm7UqNHPP/9ctWpVXTiIVYc3R9j65GetqD2q0Gq9Azwp3nvvPZ0+69OtJSgoSD/Nh2Al3nNbuhyjN9LgwYM1yCq8m288AACAR0AABhxa/fr133//fVWAFXdHjBihomLXrl2HDBlSoEABxWDjr2CmOqHtWs2aNTP+qgyXL1/esHwI8/fff//0009jRdAaNWpo48OGDVOVz3gkKgymT59eMUnFQ5X+Onbs6OTkNGDAAM2qVKnSoEGDlMwVTVVo7dev31P9LOi7776rKmiHDh3++OOP77///p133lFyU7w05yroqiqunFyuXDnzpQ780KFDCd3/bFhSpaqakydP1oCrEOrj42MObFwqlioial/Tpk1Tzu/UqZPS7N27dw3Lk5aVJH/66ScF8l69epm3ZMeigVJ6PHjwoHaklzNnztQJ/eqrrxTXVQRWnlQnrfczm/TG0IHoxA0fPtzX11clYlXaFWiN5DCfkq3Cr95LytJjx45t165dypQpzbdTUnpuKlmyZGRkpMZ/1apVX3755ZQpUwwAAIBHQgAGHN27FioAfv3112+88cbmzZtVFp41a5b5uUqlXFURFYdsV1Ggypgxo2ap7qoIqvCsJKNQumXLllhPh3799ddVpx09evQj12YVxRXYsmXL9vHHHytzurq6Kv+YX5Mj2p3qqB988IH5SCclYcPynC3jKWjRooVyrwraffv2/eabb1SVVeJVQdKcawZdHaz5qDBlNpWF1RNdAkhog0p9CoEaQCXDsmXLKtymTZs23iU1CEqqOiMaAV2hUFYcN27c888/r1kKkEWLFv3kk0+Uij09PRO6BKAzq+VV7122bJmudLRq1UrHotOqDdapU0dbi7W8krxyvmK8ZukahKrNH330kXK4kRz16tXTRpRdVaVX97QFbXbBggUq/Ca956KT26RJE70NdPVB77HPPvvMAAAAeCRO+vvVAGBfrt24nT1rxmSu9OdXqkqxYsViFQOTIjAwMDg42Hw8UlwqA7q4uDxmLg0KCoqKijK/Msd09erVDRs2lC5d2vy+WcPyVTrbt28/e/ZsvI+2flJUetX243531KMJCQlRKTih6BtLkEXccVaXdJ3C+nSxpNBgqqCdNWtWnZrEF9PGM2XKZDwGPz+/ixcv5s+fXxcFYs1Kes/1BgsNDbVecQCAp+3RfpkC+I8jAAN2yEF+Zyt1K/3qP2Ivv/yyMqHC8KpVqzp27DhmzBgDAIDHQwAG7BIBGLBDjvM7+/Lly59++um+fftUSFTtulGjRv37939Kt0ADABwKARiwSwRgwA7xOxsAgMfEL1PALvEQLAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAYe2Zfu+W7fvGngKoqOjr/vdioyMsm3ce+DozVt3jKfv9p17u/ceNgAAAGDDxQDgqKKjY9Zt2pEypUumjN6Gwxv2zfjrN26N+fZj47E98A/4Y+7yU2cueLi7BQWHFC7g06HNC+nSptGsFau31KtTJXOmDMZTduWq3+IVGyo8V9IAAADAXwjAgONKkcJpyHt9DfwZF2+EhoZp4s7d+xm80xmP4f59/+/HTitUwOezwf1Tp/KIiIhcuHTt1z/8opcuLs4GAAAA/j3On3zyiQHAvgQEBqfxTJWUJX8cN83Ly1MV4LmLVl++cv3A4RPTZi48ceqcp2fqhMrCd+89GPH9pHw+OSdN9Z23aPXFK9fy5MqeKpWHZmkjly5f37H74NQZCwoXzJsurdee/UdVC9Vi585fzpgxvVrMjWzYvGv6nCVLlm8ICgm5ev3m7n2HSxQtaG45S6YME6bMPnL8dIVyJVU+nT1vxUzfZXv3H3VyMnLnzGauvnbjDvVzycqN5y5cKZg/j7ubW0KNSbR6w/ac2bNky5pRfdC6avlu9NTUqVNlyfy/Uu0v0+YGBYXoSM+cu6TpuQtX7j14LFUq9+xZM8fa1OZte/1u3XmtRwc315R66eycokihfH43b6dP76UisObmypl11bptM3yXHjh0ImeOrGZlOCbGWL560x++y3QUd+/7FymY10kHbBjfjvpVe5m3ePWcBStv+N3W4Hgm7cxq4eOnzmXJknH8L7OWrd7kd/OOzoiZwFXrzpsnR1qvP/eruD78u4lVKpbRrMioKO1l5pylOjtpvTyXr96s9K5hMQDAISX9lymAZwifAQYc2p27D8LDIjQREBC4buNO/abv06N9hgzpp/w+Lzo6Jt5VoqKibt+5N2P2kjo1K77Ws0N4eISSsPlJV21k7YbtKnv27t4hS+aMx0+e+/2PReXLFX+9d+dMmTKM++UPxUsttmf/kflL1tSuXrHfq53CQsPXbtjhHxBo3bLSWpMGNVs2rRsTEzPlt3ma1bNbm7q1KytFHzxyUosdOnpq1dqtL7VvNnDAK4qXv/2xKKHGJNKR7tl3pFyZYuVKF9/11+dmc+fMuu/AUXNaOfzA4eOFC/oEh4SOmTijeNECb73+coWyJTRKt+7ci7W1K9f8FC9VXbe2pEiRonP7ZgrP5svla7aULF6oT/f2irI/T5ltNq5Ys3nnnkOtmtfv1LbpiZPn5i1e89cJuj9/8ZrK5Uv37Nrm7r37C5auNZIsMCh42apNrVs06Nax5cVL16bPXmK2a5AjIiPN6ajoaL3UUGt6zvwVx0+c7dC6SZcOLbbvPHDqzAWzKg4AAGA3uAUawP/kzJGlYd3qmsiRPcuO3QfOnr9k1kLjVa9O1efKFNdEjy6tB3/+49nzl5UP9dInT44Xm9Uzl1m3aUedWpVqVi2vacU/FYd37T3UqF6NTVv3akfVKpc12y9fvWG75TYtGvjkzqGJi5evnbt4ZfjQt9zcXA0j14MHARu37CpdovDVazcyZfLOnze3SqSvdG4VGBikheNtjCUkJNTDwz1u+4nT51xdU6q8rCQcHBxy4dJVdaB82RKjf54eHR2t+Hrk2Okc2bJkzpRBuXHoe33Tpfuzjp0rR9atO/efv3AlU4b0tlu7duOmCqpGwjRulcqX0oS7u9vwb3++d99fhfHV67b27dWxQL4/B7xLx+bf/jSlVbN62rVeVq1URuHcsqrT2EkzVJVNmfJv/+lWTNUQmRVjW2Fh4Z3bNs2WNZOmVdH98tuf27Vq5Jk6/mqGLmFs23ngjddeMvuQK0eWDz753gAAALAvBGAA/5Ptr7t5U7q4qH6rwqAC8Iw5S1Q8NNu906ft3b29OV0gX25zQikue9bMV6/7mQE4W5ZM1g1euepXs1oF68t8eXOaWVdhVTVea3v+vLlu3/3/Oqp1C1eu3lCEW7x8vfny1NmLV6/5aaJMyaJr1m//6vuJpUsWKVOqiLl8vI22rl2/+eW3E3p0aVO2dNFYs7bt2J/PJ+f9k93uCwAAEABJREFUBwGGJcArByoAayJVKo/TZy8WLpj30JGT5cuVMEcmhbPzjt0Hb/jdDg4JuXX7rnoYa2tKmErRRsKyZ/1f3xSq9VNZXZk2LDxi194jBw6dMP6shEdHRkXduHnbvL/aeiwKpVpSJXHbTymreDt0+OhypYu1b9U41o6U9rNZ95U9i0KyBqFQAZ94e3Xd71ZMTLRP7pzWdbNny2wAAADYFwIwgP8x640mazGxTKmi+XxymdPKutYFbJ/n9OfHRyMi/1rz/+uQqpfaLqb0GGFZzN3DPSQ01NpuO227hfDwP+/NNsutf/akZJEK5UrExCioZ/r0w/679h0+evz0khUb6tWuoppzvI22W02fPm2l8qVV5Tb+Tgl2/6Hjmthl86VBCpPOzilUBD545GS+vLmOnzrXpmVDtfvdvPPdmF9zZMusMmn69F5GfBQ1FSaNhFlLtfp/czI84s8jzeidLoXz/07BCw1rWT/D/P/nJU6N19xa1YplrdcjbKX8+zO3XJydI6ynKQ4PdzeNrUbDxcXDbAkOCTUAAADsCwEYQGKKFc4fb/vlKzeKFflzVnR09LUbN+vWqhx3GVUsVcUtWijfX6tcz5Ujqyby5MymtFm21J+V2MDA4CPHTuf1yRl39RzZs6qaqi1bE6MSmjnp6Znq+ZqV9L/9B49P/n1us8Z1lLTjbbRuTQGvS4fmcfdy4PCJjBnSD32/n/kyOiZ68Kc/HDtxpmTxQuXLFR87cWbRwvlzZs+S3pLD9x08qoUH9OliLrxq7da4G8yTK/u2Hftu3blnvTU6JDRs+Lc/v9S+eaEC8d9SnjVLRqXcEsUKWouu1iNNihYvPB9vu39A0AP/wLRenoblYVdBwSE5LNtXKfjW7XvmdQ2z7i06rlQe7rv2HqpTs5Jenj1/iS+IBgAA9oeHYAF4FIuWrbPcBhzqu2CVSov546tAVnyu1Mo1WxSlVHjcvuvA8ZPnzNCr2uzpMxe+Gz111rzl346ekjXO7comn9zZU6Vynz1/RVBQiP43aZrvuF9mqt13wcqRo6YEWW4zvnPvfvp0aRV04200kmDnnkPlyxZPkcLJ/J+OpVzpYjv3HjL+vFc5s8qwS1duVCnYXNgzderbt+/duXtf1enlqzcrYcbdoBYukD/PL9Pmnjl3MTo6RjFy0tQ5zs7OBfPnTqgP2ulzZYvP9F12+869yMio1eu3vTd0ZCLV2iTSZmfMWaKIq/9Nn71EidcspyvP66jv3nsQGBS8cu0W6/Kd2jadv2TNxKlzfvtj0ax5K7IlcF4AAACeXVSAATyKhvWqfz92alBQsOJrz25tPNzj+c6hKhXL3LvvP2nq3IDAwEwZM3Tr3DKnpQKcKaP3+2/3Onj4hOqT3V9qdfDIqet+N+Ou7uqa8rUeHafNXPjBp99FRUUXLpj35c4vqr1B3erTZi54f+h3rild0qX10hYSanwoJcNTZ863bl7ftrFcmWKjf56usq0OSkVgBWBFYnNWxedKHj52auiXo5xTOD9fq7L1a5lsWZ7C9aIy5NhJfyjExsREFymU7+3XuzklWtLt3Lbp1BkLvhw5ITwiInOmDH26t4/1pKtHkDZtmpLFCn46Yoy64ZMnR8+ubcz2Ni0bqrL98bCfPDzcmzeuc/T4GbO9bOmi6dJ1U0Fe5WhVlZXhDQAAAPviZH77BQB7cu3G7exZMxpPh0qanwwf893w9xU1VQFOncrjoavEevzyqTMXwsIjlM3Ml199P6l40YJNG9VKaPU/HzTl5GR+ra5VRKRExQre8TY+caFh4SmcnFz/3p+4oqOjb9y8ncE7vdvDlrRdRcE7KUOadLp2EBER4R5nTFT+TeXhYft1Tbv2Hs6WJWMuS6rX3MGf/dCvV6eEHpoFAHbvqf4yBfBvoQIM4BGppJnEqBbry4e04i/TfEuXKOztnU5hWFmrcoVSiaxu+Rqk2FK6uOh/SWl84tzj609cqqNmz5q8BylrlSebfsVZ1WrneK4IxP0+pPsP/OfMX1GuTPGULs6Hj53O55Mrf97cBgAAgB2hAgzYoad60Vrl3C079j1fs7Kz86M/RODmrbuHjp709w/MmjVTqeKFEvpyWvzDTp+9qP+pkJ4rR9YyJYvYPhgcABwNFWDALhGAATvE72wAAB4Tv0wBu8TVfQAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGLBDLs7OEZGRBgAAeCT6NapfpgYAu0MABuyQh4dbSEiYAQAAHkloaLi7u6sBwO4QgAE7lMrDLSw8IiAwmDowAADJol+d+gUaGhaeOpW7AcDuOMXExBgA7E5UVFRQcKguYEdGRRkAACBpXJydVftV+nXmFmjAHhGAAQAAAAAOgVugAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEFwOAPYqKigoOCQsJCYuMijIAAEDSuDg7e3i4pfJwc3Z2NgDYHaeYmBgDgH1R+r17P8DNNaV+had04ToXAABJFREZqcvHYeER3unSkIEB+0MABuxQQGCw/ml7pUltAACA5OM3KWCv+AwwYId06Vq1XwMAADwSd3fX0NBwA4Dd4d5IwA5FRkVx5zMAAI9Mv0Z5iAZgl6gAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMAAAAADAIRCAAQAAAAAOgQAMAAAAAHAIBGAAAAAAgEMgAAMAAAAAHAIBGAAAAADgEAjAAAAAAACHQAAGAAAAADgEAjAAAAAAwCEQgAH8j5+f34ULF4yn4ODBg+PGjdP2jSfhyW7tCfrll1+WLl1qPDm3b9/Wke7bt0/TV69efeedd/bv3288If/iMD7xYwEAAEgiAjDg6GJiYj755JOKFSsWLVq0XLlyPj4+H330kRqNJ2fLli2DBw++fPmy8SQ82a09QZ9++umvv/5qPDnXrl3TkW7cuFHTu3fvnjJlyrJly4wn5F8cxid+LAAAAEnkYgBwbGPHjv3pp58yZsz46quvent7L1y4UC03b978+eefDfxnNG/efP78+bpOYTz77OlYAADAs4UADDi0gwcPqm6ZI0eOrVu3enl5qaVfv35t27b19fXt379/yZIlDfw3pEiRolatWoZdsKdjAQAAzxZugQYc2pw5cyIjI7/77jsz/Urq1KkViZ2dnefNm6eX48ePr1at2oEDBzp06ODj47N37141rl69ukmTJnpZvnz5t99+Ozg42Fw3Kirqiy++qFq1qmY1bNhw+fLltvsKCwt7/fXXixQpog1qs3E7M2zYsOrVq4eGhpovtbBeBgUFmS/ffPPNZs2aPXRrav/yyy/r1KlTrFixPn36HDlyxGzfuXOnlly8eLH2UqZMGa04cODAkJCQWH24ffu2Fvvxxx+tLT/88INa7ty5o2kVyVu2bHn69OnWrVvnz5+/Xbt2sY7R1vTp09u0aZMvXz51e8yYMdb26Ojo0aNH16xZM3fu3LVr1x41apTtrJEjRyocFi1a9N1337UOrOzfv1/dmDt3rvWkHD9+vGfPngULFixXrtykSZOsS/r5+enQdIxm+8yZM7Xw0aNHjUQldE7NQ96xY0ejRo10LIblLH/99dfqucZw0KBBem9o+7///ru5/OXLl829V65c+f333793717cfcU9lmPHjnXp0kXbr1+/vqbPnTunoVNn6tatu2HDhod2UnTJplWrVgUKFNAb9dKlS9rOO++8Y85K6C0hhw4dMk9l2bJlBwwY4O/vbwAAALtGAAYc2uHDh1OmTKlsYNtYoUKFW7duDR06VNM3b95U0FJsuHbtmjJtmjRpNm7c2L59+8DAwB49ehQuXPjXX39VRjJX/PDDD5WlFe004eTk1Llz582bN1s3+95772lrijTKSFpgyZIlsTqjYKPwo0Cl6fDw8Pnz5+ulopdh+aDywoULM2bM+NCtKSd/++23ioVKp9u2bVOOunLlitoVpHUgX331lfqvtbTByZMnL1q0KFYfIiIitJjto6GuX7+uFl0m0PTFixfVvU6dOqmGqdHYs2fPyy+/rJ9xB3bKlCkqoWsYleuUGD/++GNdGjBnjRgxYsiQIdmzZ9e46UKDxnnChAnmLAVLRTXF8saNG6vzCpDWDSrsqRv379+3nhStrminc3fjxg2lZfMwNW7dunXToSlMapaSvDKwFo4b9W0lck51yMqreunq6qpDNiwfddYhaECaN2++e/du5UxtXxcONEsBUtvRpRMtqesgSsXqjIY01u7iHkvfvn115aVevXq6wqJV9M5Jly6dgrdy+0svvWQumUgnV6xYoekTJ06oS7qIoNWVchWDE39LXL16Vale5/eDDz7QiroYpDNrAAAAu8Yt0IBDU05Q+cvF5SH/KVAlVpVJc1q5Qvmte/fuZtFYKWXdunXKXQpIS5cufe6555SO1K5CnCKKYrB1I8rV33//vSaUT5o2bbp27Vr9tN2LioqG5QlJKh4qCGmbKugpQiuvquj64MED2/tm492aqoWzZs0aPHiwWf1TlFLPv/nmG2tFV31WEVixU5m5UKFCy5YtU6YykkMZT6VClR8Ny+UDVRo1GrGe56SwrURaqlSpVatWaVgUthW9lMHUVYV8RV8NpgZQS2o7KvaqjNy7d++7d++qq6pSqs7p4eFhJsxEetKgQQPlak3oiHSk2kivXr0U6Xft2tWvX7/PP/9cs5TAzVFNnDJqQudULwMCAlQGf/HFFzWtsK3ytQqwOte6dKK0qUOzbuenn35SCtVo6AzqpTKwcumCBQvatm2beAe0R8VUTaRKlWratGlvvfWWeWgaK72ddNFBR5FIJ7Vw2rRpNdo5c+bULA219XJDIm8JrR4aGqqB0htMs2rUqKELLtajBgAAdokKMOC4lF5Ui1Pl7aFLKrlZp1WmU1bx9PRU6VX5WdU5pQjzDuHcuXMrq6iGqcKdFlBQVNiwrtikSRNzQtnV3d397Nmzsfai9JI3b14FYE1v2rRJWbpFixaaMCyp2PgrISeyNfMbg1QePGSh5Kbwaa5rUsVP6VcTGTJkKF68uFleTi5r4bFkyZJKehqEWA/NVjBW1bdjx45mlNJVANWBDcutv/qporFSnAbt/Pnzp06dUifNWqUGTdvRkkq/eqmrEmZITsgLL7xgTqjkrp/mseioDUvMM2dlypQp8RRtSuScisr+OhHmtLl9VUqVfg3Lp3lfeeUV63Z27txpWEKsOf56P1iPOnEK8+aE8r/1iKwvFeMT6aQGUGdfc830KyoRW7ecyFsiT548+jl8+HBdQdDWtAW9Y0m/AADYNyrAgONSelHAUAZ76JLp0qWzTityqECnwlpgYGCsxcaNG/f666+PtFD0Umz+4IMPzKQk6dOnNyfUotaH7icAABAASURBVNSt+B13R4q4ZjVVuVfTCkIq86r2q8SiNKXyqXXJeLem8qN+du3a1XabZ86cibuWeVBXr141kilz5szKYNaX+fLlU1dVF82WLZu10eyGwry1xZw22w8ePDhw4ED9NG+rFnPC7KftWirOJ9IT67Go+GndyLVr1/Qza9as1sVsO5aQRM6pYQnAequY0+aI2W7Tdnrr1q3G369TGH8ddeLMzG9YLhbopzWFWvebSCc1+MbfD1lnViHcdu/xviX07vr0009VCtb1Au1XFeAPP/yQZ1MDAGDfqAADDk01TNXETp48advo7++v2Llq1ap4V+ndu/eKFSs+//zzPXv2XLhwwVoONSwlNRXTVGcbO3askuEPP/ygarCRHLVq1fLz81N/tHHlKLO6u23bNgXgpDw32KwBmh2zsg3ASWR9EJdh+VSt7azbt2+HhYVZXypwKq0p7dsuY5YWzSxqun79umGpkGtrKsnevXt38uTJKhRfuXKlRIkSZt7LkSNHrLVsp5OoaNGi+nns2DFri+0znxKSyDlN1vZVtFcevvB3v/32m/EkJNRJXTJwc3Oz7dK5c+esz8dK/C3Rv39/rbh06VJduFGtuFWrVta6NwAAsEsEYMChmbeeKgZYq5GG5bnHihm2IdDWrl27lHNUNFPE9fLyst7gqsihzHz8+HFFjg4dOixYsECxRHVOIzlUhVMtbvTo0cqE2ouqu9WqVVuyZInqeEkJwKVLlzYsacfrL3v37lWHjSTLmDGjdmp717T54GsrlZqtD9xS7XHnzp2FChWK9SFqsxtKa9YWc7pMmTIaH11xePHFF5s2barEq2G3VuCLFy+un9q49YbqhQsXGslk3nOuSqaCurajrZlP805cQuc0Ll0xUcH5p59+UnrXS12qGD58uHWuDlDXL+7fv28Ovi5erFu37vTp08aTkFAnNfhVq1Zdv379rFmzdHZ0ccH8hLYpkbeEDsG8ylOlShWVgvv166f38CNcLgEAAM8QboEGHFqTJk2UfkeNGqUkrFSWIUOG1atXK3epLGn9kG0smqXUpwhUuHBhX19fJTqzXWln0KBBDx48UCLSrOXLl5vPKDaSI3369Eos06dPV3/Me6eVez/66CPD5nOhiahfv37ZsmXfeecdVVxVq1T6+vnnn99666169eoZSaOdqgPKS6o3Pv/88wqu5hODrTw8PBSWdNSZM2eeNm2ajvebb76JtRFvb+9evXpNnDjxtddeU5c0XL/++muzZs2KFSumywrK9n/88Uf+/Pl1gWDcuHHW8Kw83KZNGw2pMp46vHXrVttnaCdRpUqVdBbUJZ2CNGnSKAN37tz5oTXYhM5pXKlTp1btum3btjov6dKlU9bVMeoozLkatLlz52quwqQGQUetU6ANGk9CIp3UFROdLPXkvffe0/UFHbKO3ZyVyFtCV2cGDBjQsmXLnj17BgUF6UqBsr0WNgAAgP0iAAOObujQoWZV0/zeI+VY1W9HjhyZ0KOhlUBefvnlTz75RKXarl27KmyY3+KTIkUK5Tolitdff125S6U2FeL69u1rJFPt2rXNp/5aXxqW8GP7HUgJSZUqlfqgSP/tt98GBgYqrKo/KocayTF+/HiNwBwLHZ1Cqe237Cqi//jjjzpGBaps2bIpnGuBuBsx66KLFy9WWVJRsF27dqqra8TUpSlTprzxxhuKiJ6enp999plSovVDrd9//314ePiaNWt0OhRltSP1xEim999/v2HDhkp6OiPar/lVT7aP444roXMaL13U0AUCXShRsbdRo0bK8wrA5vYLFCgwY8YMvZEUOKOiojQ+mqVoajwJiXRSO9q2bdvatWuPHj2qBKtrDbqIY3YpkbdEx44dr127Nnbs2AULFmjhUqVKadh5CBYAAPbNKdbDSwHYgWs3bmfP+vC4GMvFixeVEFRee+i3Isndu3dVwIz3CdIhISH37t3Lnj278e+JjIxUPFMusn2KUrLcvn1bWcj8xh0rBcurV6+aj32+deuWisAP3Y66ocXi5k+1q94e71ArA6sgafu8rqRT9zZs2KAiti4ZmC2qcG7fvv3s2bO2z+6KVyLn1EoDq0ifNWtW86uDRNdKvvzyS5VkbYNukEVSxie54u2kCvX+/v6tW7c2H/G9Y8eOJk2avPnmm0OGDLHteUJvCV3LUO3X+twsADA92i9TAP9xVIAB/I/56KYkUlUzoVkeFsa/SsHSfKbUI0u84KxAm8R0lyVLlmS1G5ZnID9yHVJBTqlP+VzFUvVQYXjTpk0qdT40/RqJnlMrDez8+fNVXu7WrZsy9t69e1XlLliwYNWqVW0XS21hPAXxdvLEiROqpatiX69evcuXL6v8myZNGuVh4+89T+gtkZQHZQMAAPtABRiwQ1y0fkp69+6tKuKCBQuM/zAlwE8//XTfvn0qlhYrVqxRo0b9+/dP/BboZFFp96uvvlIG1o500aRixYqK3LFK5f8w/SL79ddfZ8yYcebMGSXkUqVKffDBB4UKFTIA4DHwyxSwSwRgwA7xOxsAgMfEL1PALvE1SAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA7BbD/wD79/3t22JjIzatHVPWFi48fSdPX/p1JkLBgAAAP4zXAwA+A/wDwj64JPv6tSs1KZFA+Oxbd62d+OW3ff9A5xTpHB2TtG0cZ2qFcuoPSw8fNa85SWLF3JzczWesr0HjoWHRxQq4GPYi6CgkD0HjlSv/JyG1AAAAHgGEYAB/Cfs2X8kXdo0+w8ea928gZOT8ThWrd26av2213q0z+eTy8nJ6cLFqxOnzomIiKhVrYKBx/DAP2D2vBWVypd2dn7qlw8AAACeBudPPvnEAGBfAgKD03imSsqSMTHG0pUbZ89fsWLN5qvXb+bPm9vVNaXavx31q2dqjyUrNk6ftfjYiXPp0qXJlCG9ucrlK9f/8F2mIHTy9Hlv77Te6dOpce6i1Wo/cPjEtJkLT5w65+mZOlNGbyM5Zs1d3qZFwxOnz+fOmdU7fdp79/1HfDfxuTLFzVJtRETklyMn5MubK62X56Zte6bOWLBo2bqjx8/myZ09jWfqvx9RzJiJM7q0b16sSAEnS5JOl84rc6YM167fLFIon7azev22YkULaAvzFq0+e+FysSL5XVP+echBwSE6qJm+y/buP6r1cufMpsa79x6M+H5SrhxZJ031XbpyU2BwsNpTpkzSpcOjJ85ERUXfvH134q9ztu7YFxoaXiBfbrVfveb3w9hptar/L43vP3R84ZK15cuV0PSdu/dnzF4yw3fpgUMncuXM9t3oqcWL5E+dOsFTOeyb8Xnz5EjrlUbT9+/7D/9uYpWKZVxcnHX6dB5nzVvhu3Blw7rVIqOi5ixYOXPO0g2bd2kAl6/erHHImT2L1tp34NhM36ULlqy9cvVG3jw53d3dzLOfKpX7vMWrtdYNv9tZMmXw9Ex19PiZyb/PCw0N0/jcunOveNECBgDYtaT/MgXwDOE2NsChLVmxYeeeg80a1+nepXVAQNDPv85WZjMsSWzWvOW5c2Ub8FqXPLmyTfp1jjKPYblRedwvs5Qn+73aKX++XBMmz9aSag8ICFy3caf+UOjTo32GDOmn/D4vOjom6d247ndL21FAfa5MsZ17DqslfTovRd/DR0+ZCxw/dS4kNEyZ7fjJc/MXr2nSoFb/Pi8pfo+b9EesTd26fS88PEJ9s20sWaxgy6Z1rS+Xrtj4QsNaXTq2uHX7rjKeYYnNU36b5x8Q2LNbm7q1KysbHzxyUu1RUVG379xbtmpTy6b12rRosGffkR27DhhJptCo+vOrL7drVK/GqnVbt2zfq0bFUXXSukxYWPg9yweVIyIjJ0yZHR4Rodp1g+erKY1r11o4ke1rAa1lTkdFR+ulDsSwnL4FS9ZoMPv27KCXc+avOH7ibIfWTbp0aLF954FTZy4ox6r91JmLv89aVLlCaZ01rf7zlNnm7rS6Brly+dI9u7a5e+/+gqVr1ZjPJ2frZvU10a1Ti7q1KhsAAADPIAIw4LgUltZt2tGpbdPSJQqrONm9a2sVJy9cumrOVYmvfp2qeXJlb9W8vqqRO3cfVOOuvYeyZPZ+sVk9tTeuX1Ml2V17D5vL58yRpWHd6j65c7Rp2UAp7uz5S3H3GBISGm9Pdu05XLpkEWfnFOVKF9t38Fhk5J8xrHzZ4gePnDAXOHTk5HNli6ui65Mnx+cfDdAs7ejFpnVVoY31mKtrN26qjOmVxtNIWKN61YsWyqejrlHluXPnL6vl0pXr5y5e6dGldf68ucqXLdGkQc2NW3ZZl2/WqHahAnnKlSmmrHjor0yelONKkcKpW+eWeX1yVipfSlcZNmzebSTs3Pkrd+7c6/5nH3KXKVWkScOaxmOoVa1CzWrltSkN5radB17q0Kxk8UI6ih5dW4eF/u8ZYGs2bKtXp2rVSmVV+32504vKzxf/OvtVK5XR8RYq4NO4fi2V9FUx9vBwz5olo2blyJ41g3c6AwAA4BnEZ4ABx6X6p4qlimfmSw93t2xZM1+5ekMhUC+VnaxLqkXZWBPHT55V2dDXUjWVI8dOO/31gV2ta06kdHHJkjmj0lTB/Hlsd7dx627fBauGffxGWq+/pVPVLDdt29O6RYP7DwJSp04VHRV1+NipsqWKKoguW7kpLDzCNaWLSsF9e3U0O6lysSqxd+498PcPUEto+N8e6eyZOpVqqqpkujg7GwnIljWTOZEzR9bAoGBN6Ki11uLl6832U2cvmsdryvrX8jmyZ9kepwJ87frNL7+d0KNLm7Kli8aapcsEGg3rGM5btCqRiu7VazeyZ8vi/tfTuWzH/xFY+6zhiomJ9sn911n2cM+e7X9nSgXqO3fuBweHmC+DgkOuXPUz95sty/9Wz5Uji9KvauOEXgAAYAcIwIDjUrBRerV9oq+Li7P1llprcrNtj4yMdnNzTZfOy2x/oWGtzJkymNMpUvz/duJ9iFU+n1yqoHrG+UTr6bN/3pE7fdZia8vCJWsVgL3Tp82ZM+vxE2fTpEml3KswqVmqD2vJYkUL5MyexTud1579R2NtLUe2zKps37x1J/tfgTwua1et6V0XAgzLp4XNl2VKFqlQrkRMTOzlU8T3eK706dNWKl9aBfC4s1z+PobR0THmHea2Yv7ajbuHe0jo/1eSQ0PjryonkbWjGjrtQfHexcXDbAm2qVdnypje9mzqioA5/f9n8zGfSAYAAPBfQgAGHFfWLJmUc1TANLOlstm1Gzcb1athzr109Xq5MsXM6ctX/ixOaqJQgTyeqT3q1a5iJF+uHFk7t2sat33nnkNVKpbp1PZ/s9SHr76fGBQUkjq1R4WyJQ4eOZEmjedzZUuYczdv21uzWoUWLzxvWCrYvgtXxdqaKpyZMnpv2rqnQ+sm1saVa7ecPX+5b8+OCfUtR/asSuZ1a1W2RmJFMY1JAAAQAElEQVSFxiRGPyXMLh2axzvr8tUb1u2ouJoxQ3o315Rurq7R0dH37vuntyTPB5Y6tuTJmc3v5u1LV66bz9/avuug8TC6GHHr9j1dWdC06ufxLqOd6vrBrr2H6tSsZFi+nVjjZs4qkC9PkUL5ateoaCTnkNV5AwAA4NnEZ4ABx6Xab/myJWbNXX7rzr2g4BDfBStTubvnzZPDnLttx/5jJ8+qSrxj98HDx06XK/Xn/b0qzB4/eXb7rgMqCPvdvPP51+PWbNhuPAZtf/+h4+pGihRO5v9U2lVVee+BP0u7ZUsXO3bi7P6Dx8qXK24u7+mZ6uLlayEhoYGBwebDmeJSHN26Y//qddv8A4JU2lX/V6zZUqFcyUS64ZM7e6pU7rPnr1Dw1v8mTfMd98tM47Hdf+C/ZMV61bevXPNbuHRt+bJ/HkXmTN6qrq/fvEvtSvvbdv7vnuoc2bPUqFJ+9ITp02cvGT951oWLV6zb0Yk4ZHkoVywaK10+uHvvQWBQsEJ+Qt3QxYX5S9ZMnDrntz8WzZq3wnp7c6XyJZev3nzuwmVl2uOnzr394QiNrZGwDN7pVMc+cOi4+SFtAACAZw4VYMChdWz7wrQZC4ePnBAZFZUrZ7bXenZ0++szqC80rLVgydpr1/280ni2b9XYxxKMs2fL3LVTy0XL1k2fvVjV42qVyz1f87EeCHzwyEmlwUIFfGwbnytTfOfeQzWrlfdKk1qxMCAwyJrZmjasPWHKrEEfj3R3c1WvDhw6EXeb+fPmeql9MwXghcuUkJ1UodWSFcqVSKQbrq4pX+vRcdrMhR98+p0q4YUL5n2584vGYytXupi/f+DAj75RbixTqqiG1LDcXfxSh2Z/+C5bt3F7powZKpUvZQ23bVo2KFI43+kzF5Rsq1Yq++b7w812HUv+vLlLlSgca/ttWjYcO3Hmx8N+Ut27eeM6R4+fibcbZUsXTZeu25Fjp7VrFc9/mTbXbNcuVIie+OscjXAqD482LRqY9wIkRO8NFf8XLl2nQN6zaxsDAADgWeNk/fgZALtx7cbt7FkzJn15FQBVibVGX/nw0x86tX2hRLGC5q3IcVdRxdjdzc3288P/JPXKw8PN9lPH8XrgH6BaZbKe3hQWFm44OblZvgz5SdE2UzinsP1MtWG53zgoKNjT5hsmw/4sVh8oW6qYYr9hecCYarYjh72bMqWLTkePrq3Nh5PFpfKv4quK50YCdu09nC1LxlyWO6u18ODPfujXq5PtRQeV01OnTpXEW77V85iY6IcOPgA865L7yxTAM4EKMIA/a5K26ddWvOn3z/ZU8bf/MxLqVSxpvdIYyZTQODyOeLeptGmbfv9czDXlkaOnN2zeVap4YZVkDx89Va92VaVfBeOw8HDrrelxxX2uWCz3H/jPmb+iXJniKV2cDx87nc8nV6xHTMfqSeLUcycn0i8AAHgmUQEG7NDjX7TetG1PscL5M2ZIb+AfpP8g7z1w7Mq1G+5urvl8chcq8Of3SKlme+joqaoVyxiP4fTZi/pfRGRkrhxZy5QsQv0WAB6KCjBglwjAgB3idzYAAI+JX6aAXaIIAAAAAABwCARgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAA3bIxdk5IjLSAAAAj0S/RvXL1ABgdwjAgB3y8HALCQkzAADAIwkNDXd3dzUA2B0CMGCHUnm4hYVHBAQGUwcGACBZ9KtTv0BDw8JTp3I3ANgdp5iYGAOA3YmKigoKDtUF7MioKAMAACSNi7Ozar9Kv87cAg3YIwIwAAAAAMAhcAs0AAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIfgYgCwR1FRUcEhYSEhYZFRUQYAAEgaF2dnDw+3VB5uzs7OBgC74xQTE2MAsC9Kv3fvB7i5ptSv8JQuXOcCACCpIiIjdfk4LDzCO10aMjBgfwjAgB0KCAzWP22vNKkNAACQfPwmBewVnwEG7JAuXav2awAAgEfi7u4aGhpuALA73BsJ2KHIqCjufAYA4JHp1ygP0QDsEhVgAAAAAIBDIAADAAAAABwCARgAAAAA4BAIwAAAAAAAh0AABgAAAAA4BAIwAAAAAMAhEIABAAAAAA6BAAwAAAAAcAgEYAAAAACAQyAAAwAAAAAcAgEYAAAAAOAQCMAAAAAAAIdAAAYAAAAAOAQCMIA/3bhx4/jx4+Hh4cY/6NatW+PGjdu/f7/xbzt48KB64ufnZ/yXbNu2beDAgXfu3DH+WVFRUUOGDPH19TWecf+dNxgAAPiPIAADjm7JkiUFChQoVqxYtWrVcubM2b179+DgYOMfce3atcGDB2/cuNH4t23ZskU9uXz5svly0aJFajH+bfPmzZs8efKRI0eMR3Xv3r358+efOHEiWWvdvn17zJgx2rXxrDl16pSOV/03X/533mAAAOA/ggAMOLR169Z169bNxcXlww8/HDlyZO3atRcsWKAMbDi2Pn36fP3118a/7ZNPPlm4cGHNmjWNR3Xu3LkePXoozydrrSxZsqxevfpZDMDLly/X8SoGGwAAAPFxMQA4MMXdmJgY/SxSpIheKvp26NBB4Uc1tIwZMxr4V3l6etaoUcP4N5QrV84AAACwO1SAAYd29OhRDw+PQoUKWVu++uqrqVOnKhWbL7dt26aSmhZo1KjRjz/+aG2Pjo4ePXq0ipO5c+dW3XjUqFFme0RERLVq1T777LNff/21UqVKnTp1MtunTZvWunXrvHnz1qtXb+zYsbG68dNPP1WoUKFkyZJvv/123M8hJ7TN6dOnt2rVKn/+/ArtS5YssS5/586d3r17lypVSt1u167dyZMnzXYt9vLLL1sX27BhgzartG+7r+3bt6sxNDR03759mvjhhx8S2aCt8ePHa/njx48PGDCgcOHCOkyNj3Wuv7//wIEDy5cv7+Pj88ILL6xZs8Y6y8/PT7PKlCmjzDlp0qSZM2dqOzovmqUarKbPnz+v6VdffbVly5Zqb9GihTaiMd+6dat1IzqKJk2aqF270BiaN7GPGTOmV69emtBmtZ1NmzYlPm62tPxHH32kiZ07d2p68eLFw4YNUyd1oUS9DQkJsS6Z0JnVefziiy/q169foECBl156acWKFdZZ5rHs2LFDb6p8+fLF22Ik/N4zLLesa5bGWe+HQYMGmcergzU70LdvX/U5ICDA9oh0sBoi2400b968c+fOBgAAcCQEYMChKXMqzAwePPju3btmS548eZo2bZopUybDEo/bt29/6NAhBRi1fPrpp4o05mIjRowYMmRI9uzZFV2cnZ2HDh06YcIEtStgKAQuWrTo888/V/JRHlPjL7/88uabb6qq3KVLFycnJyUrpVlrH3wtatWqpWlFXG02Vifj3ebvv//ev39/ZWNVrW/duqVku3btWnN5RcRVq1a98sorr7322okTJxo0aKD8qfYzZ86cO3fOulkFJG3WnGXl7e2tbKkjSp8+vSYKFiyYyAZt3bx5U1vTAgcPHlTE1XjqQKyBUOlLQbFq1aoaycuXL3fs2PHAgQOGJSV269ZNQVepr06dOop5CqvajpkwdVyaDgsL0/TFixf379+vHK4rDorKOik6fHPjGzdu1GkKDAw0M6HGUCdF7Rqr5557ThNKpzoWs6SfyLjZ0n6vXr2qiaCgIE3rsoj2UrduXZ0L9dZ6T3VCZ1aLvf76699++63GU8euLWgB647MY1EnXV1dGzZsGG9LIu89XZvQLCXzF198UeOm6zXK84alaq1Ub07oeF1c/naLk6K7ArY57HLs2DGl6KJFixoAAMCRcAs04NDee+89FQaVXZVkFJaUwdq2bau8ZM5Vrc/T03P58uVmdnrrrbe+++475cAcOXIo+o4cOdL8tLBKjgoSWkzxzFxRyWrdunVmGlEw015UPlWGVLxRS7NmzbQ7Fe6s3VAB083NTTVG5Zl481isbari98477zz//POzZ89OkSKFplV+fPfdd/fu3at6qbKNUpl6qyVVPNTGVcL18vIykkABUkFrypQpGgQzcSVrgxqoOXPmKAoqXSuDffLJJxqiqKgoFUK1BSVnLaPrCypFaiMqqCpJ7tq1q1+/fsr25jFqrYT6pm1qMZ0j88RNnDhRHStWrJjSrMK2dmR2SaVUDZSitZKk+jN37lwFVw1O4uNmJEpbVhFY1wU+/PBDlWSXLVtmRu6EzqwK6bqo0bNnT/Oj1HqH1KhRQyNw+PBh67Gouq4Ea3t0ti2JvPfUYYVb1a5V8TYs9yyI8rCuPuiolXK1X11riHUIKlP/9NNPKkSXLVtWL82KtJmcAQCA46ACDDi0bNmybdiwQVFWZVUV1lTXVQw2g59im0JFhgwZrl27dsjCzBuqcOqnKodKXKGhocqHp06dUnq5dOmSdbNVqlQxk6oo80RHR3fq1MnMSIblGcuqxHp4eJgvlcGUfjXh7u5eqVIl2yKtrVjbVOpThfPIkSPqmDqgQK6ePHjwIHPmzNrajBkzVAhVrVXJfMCAAdZI/wiStUHVMJV+NZEmTRqVeSMjI1UxTp06tfKb0q+6d/r0abO6a9ZX1Xn9VBHYXF2lzubNmyfUE23HrJOLOaGwZ1gGUNlScVHd04Dcv39f5yXeL09KZNyMRCn2K/1qQu+H4sWLm/tN5Mya3zxkPS7VgVUV1yGrTm62aHxUV7fdhW1LIu899V+d1+GbLYblWoAuHFSsWDHxQyhZsqSiu/VObE3oVOrygQEAABwJFWDA0am4191C5cH/Y+8+wKK49iiAD72IhaYIWAAVbIiKvffeid3YYxKNaaYa9RkTS2JLolFjL7GLvaKo2BBFsfdO79Lbwjvs1clm2UVETSJ7fp8f3+zdmTt37uwL78x/dti0adPPP/88Z84cFAkR/CTlnaJqNUkkOhQwEUVQo8NPZDzRLi9AyZIl5WXxjVk5rgAiokhTQqlSpVSXVb+lqUq1T/F3ff5QUhsbIvS6deu++eYbVB0l5Y2vH330EbKoVFiInQXvUDUYi+W7d++i0ouJxaxiWW19BDz8tLOzk1twSULSAjOAsq1YFpOGoCgpv6KMgI0LGSjJSvnKf97y2dDS0lJexq5Fes/nzIodqb4lZgObiM8V4q58LIJqy8OHDyUtnz2EWJR51S5AqH6c8oEi8IwZMzB4JPbz589PnDhRIiIiIh3DAEykuxCfwsLCUDkUacrc3Hz48OHIMEh6qAZjGY1eXl6oD6tuhXIoEggKlTY2NitWrKhduzbSESqE2v56sEhBIjK9LuXKlcPP+fPn9+zZU7UdYRU/27RpExAQcO3ataNHjy5dunTs2LEYart27fAWSqPyyuK7tQWRT4dqEGjF14YBc4ufjo6O2PaDDz5AJ/PmzcO7mGFXV1exTU8sfAAAEABJREFUjvgOKpKeXMAsxF/9HTNmjJ+fH65cNGvWDAObPn26Wr6V5T9vLyufM1u+fHlJOQOoNosWMRui/YXEVQCNnz1cH0HcLdzHSQTggwcPijsOeP8zERGRDuIt0EQ6DamsW7duqkXX5ORkSflVWORhVDuvXLliampaQglv+fr6iiczJSYm9urVq2vXrg4ODqj95vOXV93d3fFz3759csu0adOQn1WfJPyyatWqhZ8o4pV47tGjRxhbZmZmcHDwoUOHwsPDq1evPm7cOPEYKvHVU3t7e9Rg4+LiRCf5fPHV0NBQXi2fDvPauXOnWMjOzt67d6+kjLjnzp3DAmJzkyZNUP8Utz0LTZs2xc9vv/02OjoaZ2HPnj3e3t7SS0LArlu37tChQ52dnTEV4vZj+UDwUz6WfOZNenn5nFmxI/l+Y1wxwV5wnaVChQoF6Tmfzx5a8OE8depUfHy8WBlz3qlTJ3HUaserBvOD6zUY1f79+7HwKjfGExER0VuKFWAi3YVK2qBBg1AP7NKly8CBA62srBDVFi5cWKZMGfEMoS+//HLEiBGDlJBq5syZg5yGdapUqWJsbLxx40YXFxcU0xYtWqT2xF1V6Pa9995DTRKFyg4dOiB9LV68GMU9+TvAhWBtbT1y5Mjly5ejk1atWt25cwelQkRNFDaR5fr371+jRg2kSpSmRV4Vd9J6enqePHkSx4KDvXfvXj5RE6VUZKQffvgBlW3sS1uHeSFc4XIA4ig2P3v27LvvvluyZMmaNWvirZ9++gkpLiIiQvXPI4m/4oPiLUJd8eLFkYExvLVr10ovA2PDvn799Vd0snXrVlyekN9CaMeYt2/fjkI0oikqwNrmTXp5+ZxZlMfr1KmDCcSFEhS9t2zZgio3qq8F71zbZ0+8NWzYMPFHrXBh4rfffkMFW0xy8+bN8RMrR0ZGavwTRygCiz/vhLFJREREpHsYgIl02qRJkywsLObNmzd+/HhJ+R1ORLJly5ahBCcpnyeMYtqSJUvE055R1kPaEX8haeXKlR9//DGqmthc/IXefL6AOn36dES7Xbt2IQghHfXt23fu3LnSq5k5c6akfOrS0qVLMWxkeMQeSfldUwTIb775Rvy5YBSoV6xYgTCGZURNFBWPHj3q7++PjPr1119//vnnGjtHpRfJDUk1JSUFg9fWYV6Ix0hW69atQ5pFFJw1a5akTGUTJkzAlYUhQ4YgguLY33nnHXkTDAPpEeVNfX19zIz4C0PiSVoFhOiLKPi///0PWyFyI/iJP0klKSuiOMUYMH5iZrB3bfNWONrOLJZxfQTTiIsj+GBUrFgRsVN+SHhB5PPZQ5LHJxY9f/jhh5g0XNfAauISDGIwEv7BgwdxZjXe4dyrVy8RgAuX+YmIiOhtp6fteTNE9PYKDY+2t7Mp+Pr478CDBw+QN1AMFNFXDYpvKPnm/cM/qGeiQJpP+VdNWFhY6dKlC/jIogIKDQ3FGMS3OlXFx8dnZ2ejSqnWjjyGWCsexZQ/FJNxaHIW1dahgKsAqKUHBgYiZ8bGxiIAGxkZqa6gUCiioqJQXVcNtyEhIceOHUO6QxVXtCCYnTlzBgVqXFmQXgZ2iknQ9m3ejIwM+VnNgrZ5KxxtZxZHjYGJ4Fo42j57kvLpX/i4aryVIO/xCsHBwR4eHijgo1QuERHl62V/mRLRW4EVYCLKrTc6Ozvns4L4W6x5Ic5JLyOfRxwXmr29vcZ21YdLq7JQkgpALcFq6zAvjSEZ4VD1ac9CyZIlJ0+ejAsQKOEiQCIM+/n5DRgw4GXTr7adyvKmQW3zVjjaziyO+lXSr6T9sycp74TX9lbe48WFD29vbxTzcRUDBXmJiIiIdBIfgkVE9BogvqJ+rpaZXwhBF6G3devWO3bsmDlzZkJCwv/+9z/VLwnT6xIXF/ftt9+mpqYuW7asYcOGEhEREekk3gJNVATxri0iIqJXxF+mREUSK8BERERERESkExiAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwkU47eeZCVHSsREXOvQePb999mLc9OibuXOAVqVCyshR+p86np2dIRERERG8nBmAi3ZWdnePr53//YbCkw/Yd8hv7+bTIKPWrACfPBKL9/sMn0r9k3sI1u/YdlV/u9znx0Rc/pj0Pn9nZ2Z9+M/PK9TvaNg8Muh6gKegGh0TsPnBMKpT0jIxN3vtTUtMkIiIiorcTAzCR7tLX15v81YcNPN0lHaanl/sTFwLU2jd5H5D+VVVdne7ceyS/vHHrPs6XXNR9/CQM9dgqLhUkIiIiIiowQ4mIdNgvi9a0a92kmqvLtl0+FsXMEpNSzl+46mhfpnWLhtXcXDRuEhv39JdFa0cM6b1l+8HwiCjXKk69ura1sbbEW+ikmLlZdEzcxUvXP3p/cMXyDucvXvM7dT4sPNLFqVzHds3QIjo5diLg1NmLT58mNm5Yu7hFMWzSr3cn0TMWvHf7WFmW/HDUgOSU1O27D1+7cbdUyeJNG9Vp0rCO2PzIcf8TpwOTklMqOZcf4NW5ZIni2hoLwtqq1IWg6149OhgaGoiWB4+CzcxMkDDldfxOn8eYMWAHe7v+Xp3s7Uqjcc5vq1o0rYedBoeGz/nxy5wc1Gn9Lly6npiUXKVSxf69OxcrZnbK/8K9B0/eHdBD9IPDQc8d2zbD8o3b93fu9Y2MjLYrY+vVs71zxXKqo3Kr4ozqdGZmlpGRIQq/j4NDWzVrcOPWPffqVfDunfuPnCo4mJgYYxmDP3YyICIyxg3nols7zJXcyeFjZ44cO2NqatLAs1bHtk3l9uu37m3bcSgpJaVmtSrv9Owg+imgqOjY1et3PAkJr+xcvkeXNmXtbNH4w8+Lhw7oUc6xLJbj4xPm/b7mm8/fMzUxzlIotu08dPnqLX19/Z5d2wRduVmjamUdv+ZCRERE/yJWgIl0Wkzs04z0TCwkJib5Hj9b3ML8/ZH9rK0tV67zzs7O0biJQqFAXl2/eU+r5vU/GNU/IyNz2eqtIiuiE8QtZOAxI/qXKW2DouW6jbs861QfN2aQra31ouUbEXGx2vmLV7fvOdyyaf2x7w1MT8s4csw/ITFJ7nmfj1/n9s0RlnJyclau9cZbo4Z6tWnZ0HuXz6Wrt7Da5Wu3Dx05NbhftwnjhxsY6K/duEtbYwEhliNvI7jKLci0jep5yHkYB4Lg2rl9C6R6K6uSi5ZtfD578Tv2HK7rUe3DUf2l3LupjyPVd+3QcuSQPikpqb8v34DGlNS0pwmJcs/IxknJqVhITk79femGlk3rffflBzWrV8Eysq7qqCqUszc2Nn7wKATLKPziZe1aVTES8S6Kw0jIyrcerdu0q2G9WjhxiuzsP1ZuRuYU6+DCwcNHIe8N64u8fcj31MkzgaId1wgQrfv0aD90QM9Hj0P/3LxHehkbtu5rVN9j3OiBhoaGS1ZuFndl48RlZj0bP4aBlzh9WN6y/cCNm/f69+k8pH+PM2eDcCBpaekSERER0b+EAZiInnF0KNOhTVOkQVQjMzIz7z14nM/KbVs1rutR3cWpPMJeVEwcipyivWIFh17d2lapVMHM1MTXz79ViwbNG3sivPXp3s6utG1A4GWs43cqEDtq0rA22vv16YTwqdqzV4/2dWpVQ4n1cXDY/UfB6B/VY8/aNZCKj58MwAohoeG2tlbYtV1pm+GDeg/u201bo5pU7V9ebdbYEzVesYzIijDctHFd+V0c1LTvxnvWro7J6dW1DWI8ipzirRZN6jVv4on9Iu+h3DrQq4uHuxvKv8MH93au4JiqPeyFRUTp6+l51HTD4Xdq12ziF++jRqq6gp6enmulinfv594FjcJvVVeX8o5lkauRurGv+w+eVFUG4MPHTuNcNG5Q26mC47CBvZA8Hz0OET3o6+sNHdTTqaIjKq7dOrU6duKcaE9Pzxj0TldU+PFv2KCegUHXEInVhoeYKhJsXi2b1UOH6BadZ2RkIN9KWuCyyOmzQYP7d0PCx0di5Lt9cL1DIiIiIvr38BZoInqmrPK2XjAyNET9FlGqskuF9Vv2oEgo2hHVxozoJ5YrOZcXC6amJgirIWERrpUr5nZSxlbuMDgkonmTevJLZyfHJyHhkjKsIs3K7ci30bFxfw3jeQ/BIeGIarv3P3sQ1O17j0JCI7DgUbPq4aNnZs1bWqumG9KmWF9jo6rQsMjpc5aMHOKFOqqUh2edGt67fbCOfdnS/gFBlZzK2ypv6hYQ5pFXz1+4GhP3NEFZzk3LeBbk7Oye7SgyKhbFcJfn02JRzBwlVkk7pNnSttbTflpUx6N6jaqVkZnFt5FVocYr6tIo/A4f3AuRGC0Iw8jhyKYVlPeTo8wbExOPYCw2SU5JxbQjkEvKGjJOpTzJ3rsOieKwmZlp2efDdrAvY2JijAPHAOT9IvpOmbEAlyH69e6Ud+SVnJ4dIzov51g2JCxS45RKypCfk5Ndsbzjs2k0M8X0SkRERET/HgZgInpGtQIpZzEP96ryd1ORdeUV5NuDxXKWfPuuSozLzMpSXQ15Sdzla2pmmpr2VzFWdVm1B+RJ/CxVqsSzkdR0q1enBqqSCG9Tv/0o4MKVazfu7DlwrG3LRqg5a2xU7dXSsmQDz1qockuamBgb1a9b88TpQFSkT5y50KNLa9V3kUL/3LS7WtVKjvZlrEqVOH/x2l+Dfb6gUCgwcAP9gt5WY2xs9OWnI4Mu37x6/faiZRsqlLcfN2aQnFcFN1fnbbsORUbFpKSmlld+vbaqq/PV63cylY+/QoFXrGZrYynPUpcOLRwd7MSyoUpvOBHZ2TkKRbaUeyIMVPdiaGCgdvc1knbj+rXlaxxq1LrNysqStMCFA5wvXMUwNDQTLXyCNBEREf27GICJKD/VXDU/CutJcLh4SlZ2dnZoeGSbFg3zrlPOoQyquOJOXeUmYeWU2ayCY9mAwCu13XPLhklJKUh0ThUd827uYG+HOip61nseiZGmxKKFhXnr5g3w7+KlGyvWbevWqRWSmMZGuTeEsSH9u0vaNWtcd86vK3FQCGziQVMyBGOUskUqjoqO3brzUN7N7crYGOgbPA4OQ61VUt79G3TlZs1qlVFfjYr+q74d/zTR3PxZGkTcRaTHv/j4hCnTF9x/8MS1spNqn6hClyhuceDwSbfKzmISqrq6bNt5CHOObCzWqeRcAWXhls3qq01R7oSHhMsvURa2sbZEzsdyQmLy04SkkiUsJOUDq1A0dshTmFW7BKDqSUhYmdLWYl8hIRG1arhhWRymuFaCYxRrYo/mZqYBgZdbNW8gKf80Mf/oNBEREf27+B1gIiqMXft8wyOiUdDbuuMQSogumqqF9eu6Hzx8ErEHBcYzAUE3bt0XoRe12Tt3H85dsHqT9/45C1ba5bldWahY3t7c3HTz9gPJyan4t2zN1kXKx0pt3XFw9m8rk5U3/cbExS/P45wAABAASURBVFuWKomgq7FRehn2dqUd7MusXr+jScPaal/HRbR+9CQ0NTUNcX3H3iMaN8cmqCFv9t4fGRWLYSCmohBtbGyMonFMbPyFoOtZCsWlq7fkb1YjHn81eQ6uHUjKxKjIzra1scrbrVsVp7PnL8tP5C5VsnipkiUuX7stX1Zo4Flzv8+J+w+fIBXfuH3/s29nYqjirfinCXsOHE1LSw8Ojdi594hn7eqiHedr/ZY92Cn+/bl5D1KrXEAuiH2H/NAhut29/2hKWhpGiEYcJsYZG/c0KTnl4JGT8soD3+m6fc/hpau3rN24a5P3gbJazjURERHRP4MVYCIqjA5tm877fXVycgri66ihXmYqd0fLGtX3iItPWLZ6W2JSkq2N9dBBPcXduUh6X382+tKVm6hDjhjc+9LV22ERkXk3NzY2+mDkgDUbdn4zda5CkY3q6LBBvdDevk3TNRt2fD1lrrGRIdIgetDW+LKaNaq7esNO+Y8tybp2aLlk5aYvJs02NTHu17tT0OWbGjfv16fz2o07Z85bmpGRiaT33vB3UH1FvGzVrD5ytSJbUb1qZY+az74uiyLznXuPZs1bZoikbqA/sG9XtYeBCajunvK/WPV5vRequrmkpaeXtrUWLxs3qI1JXrpqS2JSsrmZmVeP9hXK2Yu36tSqlpCQNOG7n7EHD/eqXTq0EO0lSxZHaXrqzIW4MFGxgsOod72kl4F+Fi3b8DQhEed0xOA+qFGj0atnh9+Xbpj0w69mZqbdO7W6duOuWLl2raqlSg1FkR8XCFBVXr5mm0RERET079HT9pxPInp7hYZH29vZSG9GVHTs/2YsnDvja0RNVICLPb+hNx+onSIXyS9v332YnpGJDCZeIgQiGXbt2ELb5unpGZKenrh9V5aZBQq14K2x8XVBFdrMzET/Rd/yRSUWAdj072PAqDIzM1UnQcB/gVEutihmLr0yVKeLFTPP+yQtzJ6+gb7at4ul3C8tZ2NIpoWaK/zeSElJLVZM/dSj/IsQLn85GQICr5QtYyP+PjDenfj9/LGjB6o+cIuI6D/rjf4yJaJ/CyvARFRIenp6BUm/kvLxv2obLl+ztVYNVyurUgjDyEUN67nns7mJiXHeRiS6vKFOY+PrkjfvaYSEnDdVogar8ZZsTMVrSb+S8j5tje0aZw9QdjYwKOSVAsRsjbOR91jinyZs2X6gjkd1I0ODK9fvoB7u4lReIiIiIvqXsAJMVAS90YvWKOee9L/QunlDJCipsCKjYi9fu5WQkGRnZ+tevcrrCoH0H3Tn3iP8Q3G+nIOdR003fX0+e4KI3g6sABMVSQzAREUQf2cTERG9Iv4yJSqSeCWeiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmCiIsjQwCAzK0siIiKiQsGvUfwylYioyGEAJiqCzMxMUlPTJSIiIiqUtLQMU1NjiYiKHAZgoiLI3MwkPSMzMSmFdWAiIqKXgl+d+AWalp5RzNxUIqIiRy8nJ0cioiJHoVAkp6ThAnaWQiERERFRwRgaGKD2i/RrwFugiYoiBmAiIiIiIiLSCbwFmoiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gkMwERERERERKQTGICJiIiIiIhIJzAAExERERERkU5gACYiIiIiIiKdYCgRUVGkUChSUtNTU9OzFAqJiIiICsbQwMDMzMTczMTAwEAioiJHLycnRyKiogXpNzY+0cTYCL/CjQx5nYuIiKigMrOycPk4PSPTqlRxZmCioocBmKgISkxKwf+0SxQvJhEREdHL429SoqKK3wEmKoJw6Rq1X4mIiIgKxdTUOC0tQyKiIof3RhIVQVkKBe98JiIiKjT8GuVDNIiKJFaAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkExiAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwEb3d9u/fv3TpUukVLF++fO/evfmvExIS8vnnn1+8eFEqsKioqEWLFr3UJi9UkKH+Rxw4cOCPP/6Q3rw3Mc9ERERUVDEAE+m0CRMmWFlZ4Wfet5YsWYK3unbtKv23rVmzZvLkydIrmDp16qpVq/Jf59y5cytXrty3b59UYKGhoRMnTjx+/Lj0+hRkqP8ROC+TJk2S3rw3Mc9ERERUVDEAE5G0bdu29PR0tcYNGzbgp74+/yuRq3v37tu3b//ss88kIiIiInpr8f/aEpH09OnT/fv3q7Zcv3798uXLEj2HCwEtWrQwMzOTiIiIiOitxQBMRLlEvVftpa2trWrjn3/+2bt3bxcXl/79++/Zs0c0ZmZmNmnS5Pvvv9+8eXPjxo2rVKkybdo0tC9cuNDd3d3Nze3jjz/OyMhQ7cTLy8vZ2blbt25YR25/7733evbs6e/v37FjR7wbFRXVtGnTb7/9Vl7h8ePH2NGcOXOkfJ0+fXrkyJEYBvr55ZdfcnJyRHt2dvaCBQuaN29evnz5li1b/vbbbxo3v3fvXuvWrTEYHJdq+8WLF7F3lMqxvHjxYizfuHFj1KhRlStXrlOnzrJly/IZ0qpVq+rVq4fZmDBhQnh4uNzu4+PTuXPnihUrenp6orackpIiv3Xy5Ekchaura4MGDb744gvVt7QNdevWrTg7lSpVwtnBXLVr1+7zzz+XVE4QhoHeBg4ciEackR9//BHrYP3BgwcfOHBA9BkdHY2VMW/yXubPn4+WmJgY6fk5unbtWo8ePTBsTOOpU6dUpwgTgplv06bNiRMnNE7Fvn370NvZs2fFyxUrVuAlTpl4uXr1arx89OgRloODgzF+MW/jxo3DFRmxDrbFOjt37sS0VK1aFedUbRe7d+/GCvL5zf9DqzonREREpAsYgIl0nZ6e3q+//nrkyJGIiAjRkpWVhTSL1GFtbS2vtm7duo8++gjJYcSIEUinw4YNwyZoR8JEFNy7dy8iB+JliRIl5s2bh0SxcuXKLl262NnZrV27dtasWaITNKITbD5kyBCFQjFp0iTEMPEWYg8SFCKWsbFxhw4dkL1NTU3Xr1+PwYgVENKwo7p16+ZzLMhm/fr1Q+0aoQ49TJ06Ve5/5syZkydPtre3xy4MDAymTJmyZMkStc0xA3369ElKSsJWRkZGqm8hgmLv8fHxWI6MjMQy+klPT2/VqhUy7ZdffonApnFIO3bswK4bNWpUoUIF5D3Mnjii48ePY6jYlwi6SGLoUGxy4cIFvIWk16tXL1wLQCxEhMt/qJgcbH7z5s3u3bsj6g8aNOjq1auIwfIJ2rVrFy5MIO4ibKMFJxeXEqysrBAL8S5OhzibOL94KX8SICwsDC1izOIcjRkzBhcREPsxzzibYjVMwoABA5AwkSeRjXFQd+/ezTsb1apVQ2+I9+IlRoWXhw8fFi9xRQCfDXT+9OlTXCXZtGkTRos4jdiMl2KGk5OTscmMGTMOHjyIEItZVe0fgXz06NG4KvHhhx9KL/rQqs6JRERERLrBUCIinYeC3ldffYXQK/IMQgLSAvKMnEwQ/1COQ70R6+jr62O5bdu2SH2BgYFiBSTDgICAkiVLIi9Vr14dOQRJCfkKGyLdiRIfogs2QUHv0KFDSLkIIX379kUMQ1pDZMIKiYmJqDci9Yk+EfAmTpx45syZZs2aScoAjEwrlrVBidXCwmL//v02NjZ4+emnn86dO3f48OEODg6IvrNnz0YQQjvKrSgeYjVkOXnbhIQEpCyMavv27Wqlb43at28vHvKEkuPQoUPRG6JX3tUQGv38/MqVK4dlFC2XL1+O6iUODakMgRzjwSUDvIXKqq+vLwqzmBnMkqGhIcKkmJZZSsjDyJbahoqRYPIxsY6OjniJWZWTv4ATiv5RCMUyFlAuRrX2p59+ErOBWf3kk0+uXLkivQjOEUIjYj+W8ZlZunQparOItThxuC6AawrvvPOOpIyyyPBqFxEAR4R8e+7cOSzj8gE+MzgRmB/xLtpbtGiBKzIoQd++fRsXBZDn0Y6uunbt+sMPP6D2LtY0NzfHp7RYsWJYvnTpkmjE5Q98ltADRoVrHC/80KrOCREREekIVoCJSCpevDiShnwXNBY8PDyQTOQVEI0Q2FArQ10RdT+EE+TJBw8eoFInVkA2QwDDQtmyZUuVKoUMjPQrKYMKanSIRqITVH2Rq5HxJGXlGYVHSXnrrDwMRHF5p0jCWEfcnYvchVCNdxFstB0FOkdKRNU6NDT0spIIkCIgofqHtJmWloZhY/zoUBRIBURKFI3RgnSKtCwVAOrbYgF1b/z09/fXuFqnTp1E+gWRkJHT8BNhDJkTcf3JkyeYVVxBwNhiYmIwz3iJFCcGLylzJqJa/fr1tQ0Vx3Lv3j10KNIvoACrNgyUoOWkJyYcoV28xJnCsYSEhIjTlD9kToxNLIsFceA4ufgAiPQL7dq10xYssRWCLtL7+fPnccq+++67oKAgHBSuFOAwRZ8YIXoT6RcaNmyIyyhYTe4Enw2RfmUoOItb6xGbRfB+4YdWdU6IiIhIR7ACTES5Bg4cuGnTJmQM5FVkTrX64c2bN/HzDyW19tq1a2NB9elQSK2qpT/5OdKiEycnJ/ktsSzaJWUAVn3otJ2dXdOmTVFZxWBQqUOYyXsnsKqHDx9Kysd3tWzZUm2QnTt3RgxGfRg/5Xuq5QVJWXsUC9nZ2VLBWFpaigWR/FV7U6UascTx3rlzBz+RdVGgPnbsWFJSkur6yIGoA6vOEqjG/rxDFd8rxnTJ6+AaBC49qPYgBimICZcDtjywW7duIS5K+UI/8jnCXiTldQdJ+YVktTHjwFUvMcgQcdeuXYu8isJvvXr1UEzGBRHU+RHjpeehGiNU6w2jxcdSnmSxa1Xr16+XlBdc1D5v+XxoVeeEiIiIdAQrwESUC1EThUqkCG9vb0l5+7Hqu6KGOX/+/Id/91JfnhRf10R5Vm4JCwvDz/Lly2vbBDU97AXBDOEH5U35HmCNUHyWN1E1duxYREqUE2NjY1esWIHCYHBwcI0aNUQhWoaYhJyJKnHevwj1KlSPVyRVUacdM2YMDmratGkohGKQ8heA8S6GgXpsPn2qDRVZ0cTERH5MFNy/f1/jc7MEMeFi8gW1E4FatPyW6gPM8oFatGqHoO0QRMRFjD9x4gQuVZiamqLAizAcEBCAAxGfNHxU1HrDS+zC0FDrRVsbG5uJEyeiwIuSsmh5LR9aIiIiKmIYgIkoF8q2/fv337Zt28qVK1EvVauw1apVCz8R1Uo8h0KlqMoWfBeiE/mBw/Kyh4eHtk26deuGYvK+ffsOHTp54HaoAAAQAElEQVQk7oiWtEP1z83NDfkWmUoMMjk5GYOMioq6ceMGCozooWvXrshRKCTevn1bdds2bdogOSM7Xb58efLkydLrc/jwYVHbhJ07d+Jn9erV8RN5r27dukOHDnV2dsZQ5fvAMXhXV9dTp06JB26JrTp16iSvkHeoiIWNGzc+evQoavgoCyPn5//3itVOBCIuZglnHLETMRITLheZQf7GbP5wUBEREfLjnTHhuGyhcU1ra2tcfTh+/Dh6FmEYMVgEYLl07+7ujt7kQ8aHDR2KYWvz4Ycf4qjbtWu3fPnyXbt2Sa/pQ0tERERFDG+BJqJnBgwY8PPPP8fFxU2ZMkXtLYSWkSNHIlqYmZm1atXqzp07s2fPrlq1as+ePQtYIZSU3zUdPXr00qVLP/jgAwQVhKVVq1Yh4larVk3bJkhlyHvi7yqpFaU1+vLLL1EXHaSUmpo6Z86c6OhoxLkqVaqg3rtx40YXFxcUSxctWqSxljh+/PiTJ09ihM2aNUNUll4HzA/yar9+/VB7XLJkScWKFXHIaEcIxAz8+uuviLtbt25FwFM9imHDhuF6BH6iaPzbb78VK1asZs2a+Qx1wYIFrVu3xsR+9dVXyNs4/OLFi2sbEia/Tp06P/zwA9asXLnyli1bUD2eMWMG3kL6RW5EaESBGh0iJGt7urUaVLBxFBgwTjHmFpdRLC0t5QyvBkEXA0YixTDEy//973+S8nFccm+4FoOrA6je43yh4o1rHzjk/MeAdX7//ffmzZtjTRwF8vyrf2iJiIioiGEFmIieQTZDIdHOzg7JJ++7M2fORJxAbW3gwIGIK+KbnNJLQspCQEL1b9SoUUg4ffv2RSbMv66L9IiflSpVQlXwhf0j2yD0PnnyBDEY2Qkh0Nvb29bWFhEIkQyxB42ffPIJ8qHGL7tiJMjGmIFx48Zp/P5qIeB4kXW/+OILZLPatWuvWbNGfPUU0RdhDDOJ+bSwsMCQ5E26d+8+b948pEdUNRFTkVF3796tltjVhlq2bNnTp08jKA4fPhxHKv6Qr7aJxWzgWgBiJ3pA1EQyRD1ZfiD24sWLMTlIxYjTGJiY/xfCMaI3XLDAgHEZBaPK5w9WicJv06ZNxXebke1xhQWjlR/xjQFs2LABBzVp0qTPP/8cFy9wUPXq1XvhMNAPLgqIPy6FSu9r+dASERFRUaKXk5MjEVHREhoebW9nI70ZoaGhiBmoy0mvICIionTp0vlHXwFJDNls8uTJCK5SgaHwi9Qk/sKQ2n4x+Hy+SvqGoByN+J33qUuxsbGYSbUHGstiYmLMzc1VHzCmDUq1CQkJKJKLSOnv79+5c2fMWP63cysUCgxA49980jaBL4QNEYNf1wwnJydjkIUYhprX8qElIl3zRn+ZEtG/hQGYqAgqGr+zHzx4gFyHSml6evqlS5fyuaeX5s+f//3337dp06Zt27YogO/cuRN5eN++feL7xkREVAgMwERFEm+BJqL/qICAgFmzZjk5Oe3evZvpN38ff/zxnDlz4uPjZ86cuX//fk9PTx8fH6ZfIiIiIjWsABMVQbxoTURE9Ir4y5SoSGIFmIiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gkMwERERERERKQTGICJiIiIiIhIJzAAExERERERkU5gACbSaSfPXIiKjpVIixu37t+680D6z0hLzzhy3D89I1N6BYFB1yKjYiQiIiIi3WMoEZGuys7O8fXzNzIytLWxknTVfh+/PQeOi2Uba0sXp3J1PapXr1pJtJy7cMXQ0NC1spP0ZoybME2S9PT0cpdL21i713Dt0rGFoYGBtvVjYuJ8/c5Wd6tkV6bwf5rygM/Jtq0alba1loqKkNCIiMiYOh7VJCIiIqJ8MQAT6S59fb3JX30o6TzXyhXHvz8ECzGx8fcePFmxdlublo06t2+OlncH9JDesE/HvuviVB4XIx49CVmzYWdaWnq/Pp20rexgX+bHSR9L9Hd37j3yP3eJAZiIiIheiAGYSKf9smhNu9ZNqrm6bNvlY1HMLDEp5fyFq472ZVq3aFjNzUXjJrFxT39ZtHbEkN5bth8Mj4hyreLUq2tb1E7xFjopZm4WHRN38dL1j94fXLG8w/mL1/xOnQ8Lj0RltWO7ZmgRnRw7EXDq7MWnTxMbN6xd3KIYNunXu5PoGQveu32sLEt+OGpAckrq9t2Hr924W6pk8aaN6jRpWEdsfuS4/4nTgUnJKZWcyw/w6lyyRHFtjS/F2qoU/mFfGEbjBrWxsHOvLyrkIgxrG8yN2/cPHTn5+EkYCsWNGtTed/D4V5+OEut77/K5ceu+mZlJrRpu3Tq1fFbq1QQXI5wqODauX/t0QJCkLGkuX7tNvjxx8fKNs+cuvT+y/9OEpLkLVn396Sh9ff3pc/5Q7aFenZpdO7aQCiYzMwth+9LVW2XL2LZr3bhWDVc0nvK/gPwvZ34cLEbesW2zfI5RI22Dz3t+ccUBe7l550FpG6v+Xp2Xr9k2dvQAlKZzcnIr84EXr2VmZdWq6daraxscL7qa89uqNi0bnj578eHjkJrVqrRr1RiVcBTw/U6fS0/LmDJ9QdcOLerVrSkRERERacHvABPptJjYpxnpuV8oTUxM8j1+triF+fsj+1lbW65c542apMZNFAoF8ur6zXtaNa//waj+GRmZy1ZvzcpSiE6OHDuDDDxmRP8ypW2Q/dZt3OVZp/q4MYNsba0XLd+ICITVzl+8un3P4ZZN6499byByy5Fj/gmJSXLP+3z8EDh7dm2Tk5Ozcq033ho11AuxB2ESgQ2rXb52+9CRU4P7dZswfriBgf7ajbu0NRZOZZeKpibGT4LDco8oKRmJGgvaBhMZFbN01ZZyjvbjPxiCcLjZez9CnZR7e3n2stVb4uITRgzp1aNz68Cgazv3+b5w1yFhEfZ2tljIUiiiouPk9vT0DHQlusUUZefkGBsbYSTi38B3umCcThUcpALbe/A4ov749wdXdXVGxTs4NAKNKalpTxMS5XWUx56azzFqo23waucX4XbJys0ZmZkfjOzXvnWTzd4H8C62xZoHDp84e/5y7+7tBr7T9eat+967D4uuRGBu6Flr1LtesXHxO/YeQWOThrVx4cDauhSmoqqWqzZEREREAivARPSMo0OZDm2aSsr7bP3PBd178LiySwVtK7dt1biuR3UsjBzSZ+K0X1A5dK1cES8rVnDo1a2tWMfXz79ViwbNG3tiuUI5e9QPAwIvo6LodyoQO0JuEe1PQsJVe/bq0V4Uih89Cb3/KHjGlE9NTIwlqRzKxcdPBqBWGRIabmtr5eJUHvXU4YN6JyUlS7lVRw2NalJT08zMTKUXQQ/2ZcsgE9asXkVufBwcpnEwAYFXKpQr21t5yDiW+KeJqKOK9R88Cpk+5VNz5R5NTU0WLl3fvVMrUclUdefeYxTesxXZ12/du3z11rDBvaUCQDG5nIOdWP5j5WaUo+XvLRfkkFGQ79KhhRgzCrYYMwqzkhbajrFw5PN7687DmJi4z8YNM82dUsnYxGjhH+ul3GsNko/vqQ9HD6jknPvxGzKg+5xfV2LvYuoaN/B4fquz3u/L1qOUbVmqBGryxkZG8oQQERERacMATETPlLUrLRaMDA1Rv0U5DgF4/ZY9jx6HinYry5JjRvQTy5Wcy4sFRDt7u9IoXYoAXLaMrdxhcEhE8yb15JfOTo4i6yKsipuKBYSx6Ni/CoZyD8Eh4Sge7t5/VLy8fe9RiLJQ6VGz6uGjZ2bNW1qrppuHu5tYX2OjqtCwyOlzlowc4lW7VlXpRVD1LW5RTLVF22CQk50rlpNXw7SIcIhjtytja/48fDpVcET9Mzwy2v75JMtOnD5vZGSUkZHxNCHpkw/fzeeig0Z+p87Hos78bp+8bx0/dW7rjkM/TPq4ZAkLtbdcnp8+STn/qJ/nswttx1g48qnBxwAXGkT6VQ7j2ZCiomPTMzIDAq8GXb4p5daNs7NUpk7evJxDGaRf1ORRypaIiIiICoYBmIieUS1Oyt9V9XCvKocfZF15BUNDA9XlrMys51v+9TXXzKws1dWQqzOVq5mamaampcntqsuqPWQo/9hPqVIlno2kplu9OjVQHixrZzv1248CLly5duPOngPH2rZshJqzxkbVXi0tSzbwrIUqt/QiSF9R0THlHP9WTtQ2GDNTk9TUdHm1lNQ0jcduYKCPmm2mPEsqRgzpjeyHDSf98GuU8qJD3nVycjTfjo4Qvvfg8Qnjh2t8cDROXMN6tSyKmed9y+hvp89Q48Bk2o6xgNQH//z8qn0M0p4vZ2TmTrWNVSl9g2cfSBSrTU2effb++pRq/0I1ERERkTYMwESUn2qumr9U+SQ4XDwlKzs7OzQ8sk2LhnnXQY0OhdOqVZyfbxImblKt4Fg2IPBKbffcSmxSUsrV63ecKjrm3dzB3g7hDT3Lz45CkhKLFhbmrZs3wL+Ll26sWLetW6dWSJsaG+XekOKG9O8uFcDOvUfMTE3ty5YuyGDKl7P3Pe7frXMr9I+kd/b8JfnY9x44htKliKaoP+OnWp+qUCtG5/sOHq9fpyaGbWJsjImNi0+wVEZu1a/mypDJV6z19urRXttfscJsD+rbVeNbj4P/uu0c58hBOTATE2PV7+7GP000NzfDgrZj1KYgg5eUH4OIyOjHwWHlHcvi5ZmAZ93albFByq1RrbI8XfJ5z0e2lmsERERERKr4ECwiKoxd+3zDI6JRDNy64xAynuottbL6dd0PHj5578FjFBjPBATduHVfhF7UZu/cfTh3wepN3vvnLFhpl+d2ZaFieXtzc9PN2w8kJ6fi37I1Wxct34D2rTsOzv5tZXJK7vOZYuLiLUuVRGLU2CgVTEZGVmRUbERkzMXLN9Zs2HnK/8L7I/uhXl2QwTRtVAfB+Kf5yzZ7H5j960q5Plne0b5ECQs0YuXomLiN3vtru1dT61MNontaesaJM4FYLm1rhZWPnghIS0vH9YXTZ4Pyrr9l+wGUqevWrp6tlPMyCTAw6FrQ5Zs4L/jpf/5yHeXXuR3ty8TExl8Iuo7cfunqLZw4sbK2YwTxvWW1zgsyeEn5VfNmjTwXLPnzz817Fq/Y9PBRsGjHxwkHtWHrvtxnYmUpfI6e/mrK7Pxr1GXtbMMjorAvzINEREREpB0rwERUGB3aNp33++rk5BTE11FDvcxU7o6WNarvgTLgstXbEpOSbG2shw7q6aisAKNi+fVnoy9dufk0IWnE4N6Xrt4Oi4jMu7mxsdEHIwcgkX4zda5Cke1a2WnYoF5ob9+m6ZoNO76eMtfYyLBUyRIjlE+N0thYQA8eBU+duTB3YNaWSPIfjhoofx/1hYNB0vvo/cEIgaijtmvdGKXj5Wu2Plt/1IDVf+7A+gYGBiikD+7XLf9hmJqatG3Z6MDhE40b1DYxNhrcv9vGrft8j5/B1DXwdFfLmalp6eIPJp27cFW0NK7vMehFu5B1bt/ctHmr1wAAEABJREFU59jpZWu2FCtm3qNL66quuVV654rlWjWrv3r9DkW2onrVyh41n31ZWtsxgo/vacyVu/KvKMmQkPMfvMyrZ3s3V2dcDUH2xlF/8vUM0T7ona4YxvTZSzIyM0vbWr8/op+RUX6/rSq7VHCr4vzTvOW9u7dr3sRTIiIiItJCL4e3jREVOaHh0fZ2NtKbERUd+78ZC+fO+BpRExXgYsq7ZPOn9izi23cfpmdk1qxWWbycNW8Z4lY+f8M2PT1D0tNDJlRtzMwChVrw1tj4eqkNJjIq5s69x4j6+vq5N+l67z786HHIp2OH/rV+RiZKmgYGhbndBv95xiUGCwtz6c1AwdzczEzt7mJMYGZmpur5yucYv506f+S7fVycykkvP3jMjP+5IBTGSxTPfd7Y1et3lq7eMvuHL+Wsi3Iucn5BPmDy+np6+vxqMBG9Lm/0lykR/VtYASaiQtLT0ytgOFH7SzzYECXEWjVcraxKIQwnJac0rOeez+Ymzx8UrAplybx3FGtsfL3UBlPM3HzvweMBgVcqOZd7EhJ+78ETURn+a/2/5/aXgiz35tKvlDt4DafP0NBA7e5xbceIBJuekaHt7w+/cPCYmavX7hw7EeBe3TUxKfnKtdttWzZWrfSiklzw9Cv9/SluRERERBqxAkxUBL3Ri9Yo5570v9C6ecPCVTWFyKjYy9duJSQk2dnZulevovFJxW8LVCnPXbgSFR1nVapEVTcXu9JFsFyg8Rhx5eLytduN63tIhYVfQIFB14NDw01NjJ0rlq9S6eX+BBQR0RvFCjBRkcQATFQE8Xc2ERHRK+IvU6IiiTeMERERERERkU5gACYiIiIiIiKdwABMREREREREOoEBmIiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gkMwERERERERKQTGICJiIiIiIhIJzAAExERERERkU5gACYiIiIiIiKdwABMVAQZGhhkZmVJREREVCj4NYpfphIRFTkMwERFkJmZSWpqukRERESFkpaWYWpqLBFRkcMATFQEmZuZpGdkJialsA5MRET0UvCrE79A09IzipmbSkRU5Ojl5ORIRFTkKBSK5JQ0XMDOUigkIiIiKhhDAwPUfpF+DXgLNFFRxABMREREREREOoG3QBMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkEwwlIiqKFApFSmp6amp6lkIhERERUcEYGhiYmZmYm5kYGBhIRFTk6OXk5EhEVLQg/cbGJ5oYG+FXuJEhr3MREREVVGZWFi4fp2dkWpUqzgxMVPQwABMVQYlJKfifdonixSQiIiJ6efxNSlRU8TvAREUQLl2j9isRERFRoZiaGqelZUhEVOTw3kiiIihLoeCdz0RERIWGX6N8iAZRkcQKMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiLN1qxZ8+OPP0ov6cCBA/Pnz9+zZw+W9+/fv3Tp0hdusnz58r1790qFVbhx/lvertESERERFTEMwEQ6bcKECVZ5LF68GG8tWrRowYIFSUlJBe/t+++/Hzhw4KpVq+7duycpw97kyZNfuNXUqVOxiVRYBR/nrl27Tp48Kf2z1HZaiFnN35kzZ7Zv3y69mn9lZoiIiIj+eYYSEem89u3bW1hYyC9dXFzwc8uWLfHx8artL3To0CFbW9uLFy/q6elJ/5SCj/P999/39PRs2rSp9A9S22khZjV/8+bNO3z4cK9evaRX8K/MDBEREdE/jwGYiKQZM2Y4OTmpNToqSS8jNDTUw8Pjn0y/UqHG+S96u0ZLREREVMTwFmgi0mzcuHFdunTBwsaNG5s0abJu3TrRfv36dbycNWuW6spHjx5FY0JCwrlz5/K+C9nZ2QsWLGjevHn58uVbtmz522+/adzpvXv3Wrdu/d577yFLoyD57bffym89fvwYPc+ZM0fbOAEb9uzZ89q1az169KhYsSJ2dOrUKUl5nzC2TUtLu3DhAhbmz58v1v/zzz979+6Ninf//v3F95YFhULx008/YXM3N7cvvvgiKChInoGzZ89ieefOnWivWrUqDgqNd+/eHThwYFWlAQMGPHz4UNtOVUcrBuDl5eXs7NytW7eFCxfK7YsXL8YmN27cGDVqVOXKlevUqbNs2TK1A0fPWAd7wTIWhg4dKtpPnz49cuTIKlWqdOzY8ZdffsnJyZEP6scff2zcuDFmpkOHDvv379c2SI1rEhERERUBDMBEpNmjR49u376NBURExNfJkyfHxcXhJUJpWFjYiBEjVFcuXbo04qKhoaGlpSUWXF1d1XqbOXMmerC3t0dGNTAwmDJlypIlS9TWiYiI6NOnT1JSEtIX1jQ1NV2/fn1WVpZ498CBAwiEdevW1TZOsXzx4sUxY8YgZiM0Xr58+aOPPkK7lZUVRoX9iuEhUqIRgRbvZmZm4liioqKGDRt25MgR0c/UqVMxYOy6e/fuiPSff/45dh0dHY23kpOTsYya+cGDB5EYK1So8PTp0zZt2mC/GHzbtm2RP5E809PTNe5UdbQrV67EALDrIUOGIHNOmjRJfj5WZGQk9oK5Qj+tWrUKDw//8ssvg4ODVQ8cPaNb7AXLWKhXrx4WEP779euHAx88eLCtrS0ORO4TJ27u3Lm4BoEFVOkHDRp04sQJjYPUuKZERERE9PbjLdBEJCFnWltbi2UEHgRI1XeNjY1RGOzUqRNSX4sWLfz8/FCrRLhSXad69eoIWugHxUyNTzlGoJ09e7aIzZ999hkqpagrqu4I1WPUQlGu3L59u+gceXLixIkoUTZr1kxSBmC0i+V8JCYmTps2DaERy1999dXSpUtRsq5WrRpGhcDp5OQkhpeSkoJYi2rz5s2b9fX1sYzsipAZGBiItIm6rqen5969e42MjBD++/btq7YXc3NzpOVixYph+datW5988glCLw4KLxGJp0+fjjzcsGFDtZ2qQpDG7tzd3Q8dOoQZxoFjL6hvI22i7irWad++PVIxFnbv3o0CL2Zs9OjRcg8YG7q9c+fOkydP5P4nTJhgYWGBNW1sbPDy008/RZQdPny4g4MDDgeXDxDs0Y6K96pVq3Cucaki7yA1rikRERERvf0YgIlIUruvWC0AQ4MGDUaOHLlixQokMdQJBwwYIL0k1Fcl5V27qB6jZIqY+vjxY/ldpF9ULNFy/PhxRDXR2KtXr++++w65F6EX6586dQohELXK/HeEUIqULpaxgADs7++PAKy22pUrV1D7rVSp0tWrV0ULIvrhw4cxNpRP8XLgwIFImFhAPEaA9PX1Vd0cYxPpF1yVJGUFOzY2VjzhWa1amxcGgKovZhLpV1Jed0AdGKEayVkOwPLN0ijG4icORDUA54UOz549i4MNVUKL6OrSpUuYVVTFz58/j3Deo0cPZPXx48dr66fgaxIRERG9XRiAiUjy8fFB3TL/dVCKXLt2LTLemjVrpJeHDIbiJH7KtzTLC3Du3DmxgHKr3GhnZ9e0aVMUM1GZRP5EXu3du/cLd1SyZElEVrFcqlQpSRkL86528+ZN/PxDSa09JCQEC2XLlpUbVZdVexbQ//fff79p06bIyEipwMQAVJ89JpZFu2BpaSkflPT3GdNIfPcYFW9cpFDbV+fOnRctWjRu3LjZSqilo9T8zTffiJCvpuBrEhEREb1d+B1gIsr9iqyNCo3rbNiwARHUxMRE9VlNBZSRkdG9e3dUR1FDRuUT1dEaNWqIyqcMQRTV3REjRqSnp8uNXl5eCHW3bt1CHdjR0RGFaOk1KVeuHH7Onz//4d95enqKO5kRI+WV5SqxRr8pYah+fn53794t4N80FlccRJ1WQG1cUlZfpcISQV1MmqqxY8eKPaKAj/r277//7uzsjGNHjVfb2Aq4JhEREdHbhQGYiF7syZMnP/zww+DBg7/66qtdu3a97GOBb9y4kZiY2KtXr65duzo4OKCSKT8ISmjTpg1i23fffYfQNXnyZLm9W7duKDzu27fv0KFD2PwVv4lqaGgonuMFtWrVws/z58+XeO7Ro0eizlyzZk1UXH/99VdkdUn5Fd8ZM2bk0+3Zs2fR88SJE5HqcSkhKChI205ViQEg2MstYtnDw0N6GeKe8KdPn0rKbya7ublh2KampuKgkpOTcVBRUVEpKSmYQ5wIXEfo37//jh07cC0DBfm8g8x/TSIiIqK3GgMwEb3YZ599hqA1adKkDz/80MnJ6YsvvkCgLfjmVapUQb1348aNKCN7e3v36dMHiSvvauPHj0cSXrp0qfwXiUqVKoWWadOmIZ5hK+nVNGvW7Nq1a0jyyL3W1tYjR45ct24dIj2SJ0q4COeLFy9GdCxWrBgq1TjAFi1aoP7ZqFGj/G+9RmBGpP/yyy+RG1EpXblypbadqrYjKo8ePRqbfPDBB5gTDAOlYwT+vF9Xzp/4evCnn366d+9eLGAYSOyDBg1CcMVso8NPPvkECRbHhbPWqVMnNF64cGH27Nni+dJ5B5n/mkRERERvNX4HmIheYPPmzUeOHEEVVNwdjYw3YMCA77///ueffy5gD2ZmZoiFH3/88dixYy0sLLAtwp54WJQqFHgXLVqERDdu3Dh3d3dxMzAqwwiolSpVQov0atAtYu2CBQtQ5PT09BRPOUZBG5Ebu+7SpYv8MDDkPURBHx+fiIiIjh07Ir1jYNrqz8jt169fR1z8888/GzZsiKPDkWrbqeqGorC8e/fuTZs2IQ/37dt3/vz5L1vlRjg/c+bM0aNH7969i0Po2bMnLhYsWbJEPHAbdeY//vhDPFUbFyAwVIwnJycHxWFc1MDlDI2DzGdNIiIioreaHv7/jURERUtoeLS9nY3034M8idKrxvKvNlu2bBkzZszkyZNRyZReh8zMTAxANWeGhoZiVCiTipco5yKR2tnZofgsWlAFRezfunVr69attXWL6JiWlib+Km9BdqoK01K6dOlXucE7W0l1YqOjo5HbEV/V1kxNTUVCtre3l140yHzWJCLSBf/ZX6ZE9CoYgImKoKLxO/vBgweo/f7666/p6emXLl0qXry49E9B2dnX13fo0KE1atQIDAxEkRY58Pjx46amphIREekGBmCiIonfASai/6iAgIBZs2Y5OTkhf/6T6RdWr149bty4c+fOff/991evXu3Xr5+Pjw/TLxEREdHbjhVgoiKIF62JiIheEX+ZEhVJrAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzARDrt5JkLUdGxEr0OOSqUCegAABAASURBVDmS36nzySmp0tvg3oPHt+8+lIiIiIh0CQMwke7Kzs7x9fO//zBYIqXfl23Yuc9XKqycnJxN3vufJiRKr+Du/cfjJvwgvXmBQdcDAq9IRERERLrEUCIiXaWvrzf5qw8lIiIiIiLdwABMpNN+WbSmXesm1Vxdtu3ysShmlpiUcv7CVUf7Mq1bNKzm5qJxk9i4p78sWjtiSO8t2w+GR0S5VnHq1bWtjbUl3kInxczNomPiLl66/tH7gyuWdzh/8ZrfqfNh4ZEuTuU6tmuGFtHJsRMBp85efPo0sXHD2sUtimGTfr07iZ6x4L3bx8qy5IejBiSnpG7fffjajbulShZv2qhOk4Z1xOZHjvufOB2YlJxSybn8AK/OJUsU19ZYaNi19y6fG7fum5mZ1Krh1q1TSz09vbwjRAuWb95+UNrGql+fTvLmmZlZO/YeCbp8IytLUaVSxYF9u5qZmojNh/Tvjp7jnyY2qOferlVjczPTgownJ0fa7+MXePFaZlZWrZpuvbq20dfXz6e9gA4fO3Pk2BlTU5MGnrU6tm2KlpDQiOVrt8lXRi5evnH23KX3R/bHckxsPE7HzTu5B9vfq/PyNdvGjh5Q2tZaIiIiInpL8BZoIp0WE/s0Iz0TC4mJSb7Hzxa3MH9/ZD9ra8uV67yzs3M0bqJQKJBX12/e06p5/Q9G9c/IyFy2eitinugEaQoZeMyI/mVK2yA9rtu4y7NO9XFjBtnaWi9avhEJEKudv3h1+57DLZvWH/vewPS0jCPH/BMSk+Se9/n4dW7fvGfXNjk5OSvXeuOtUUO92rRsiNB46eotrHb52u1DR04N7tdtwvjhBgb6azfu0tZYaNnZ2ctWb4mLTxgxpFePzq0Dg66JW6PVRqhQZCMEpqSkvT+iL6Lshi175R6wzs3b998d0BNXCrDJlu0H/tr8kF/Prm29erTHtQb/gKACDunA4RNnz1/u3b3dwHe63rx133v34fzbCwJXFh4+CnlvWN+ObZsd8j118kwgGrMUiqjoOHmd9PQMzAMWELCXrNyckZn5wch+7Vs32ex9AMeClSUiIiKitwcrwET0jKNDmQ5tcmuADvZl/M8F3XvwuLJLBW0rt23VuK5HdSyMHNJn4rRf7j144lq5Il5WrODQq1tbsY6vn3+rFg2aN/bEcoVy9o+fhAUEXkbW8jsViB01aVhbtD8JCVftGclQFIofPQm9/yh4xpRPTUyMJakcysXHTwbUquEaEhpua2vl4lReT08aPqh3UlKylFu31NCoJjU1zaxg5dbHwWEPHoVMn/KpKM+iQLpw6frunVqpjRBHHRIW8ePkT5D58RIl4qWrt4h1WjVrgGM0zR25hHL6ngPH5M67dWzpVNERC2ERUcjtePeF40GZ18f31IejB1Ryzj0jQwZ0n/Pryt7d2urp6WtsVysCaztwfX29oYN6GhkaYjwpqWnHTpxr2qiutjHcfxAcExP32bhh4qCMTYwW/rFeIiIiInqrMAAT0TNl7UqLBSQi1G9R30MAXr9lz6PHoaLdyrLkmBH9xHIl5/JiAeHQ3q40cqAIwGXL2ModBodENG9ST37p7OQosi7CKiqocruLU7no2L9KjnIPwSHhKD/u3n9UvLx971FIaAQWPGpWPXz0zKx5S2vVdPNwdxPra2xUFRoWOX3OkpFDvGrXqiq9CEZuV8ZWvjnZqYIjirfhkdGYGdURok+sJtKv6pxAieLF7tx7dP/hk4TEZFR6k5JT5Lfs7J5tjgsNZwpWAY6Kjk3PyAwIvBp0+aaUW0nOzlKOx9DAUGO7/fNTmf+B4+qDOCJJeRa8dx3Kp6KLs2ZftoxIv8r1y0tEREREbxsGYCJ6RrVsqPd8wcO9qnPFcmIZWVdewdDQQHU5KzPr+Zbyprk3zaquhqyVqVzN1Mw0NS1NblddVu0hIyP33uxSpUo8G0lNt3p1aqAWWtbOduq3HwVcuHLtxh1UVtu2bISas8ZG1V4tLUs28KyFKrdUAGojNzDQR3UXg38WF5+PUG011eUtOw5eCLrmXsPN1saycqUKFy/dkN+S51lfZa7yl5GZOxU2VqX0DZ5t26VDC1MTE5RtNbZLBTtwQ0ND1cFnZ+cgQqutk5Pz7E54tbOWpnbWiIiIiN4GDMBElJ9qrpofhfUkOFw8JSs7Ozs0PLKNpvt4yzmUQRW3ahXn55uElXOww0IFx7IBgVdqu+cWJJOSUq5evyNuCVbjYG9nUcwcPes9D4rIYmLRwsK8dfMG+IdguWLdtm6dWiG/aWyUezMzNRnSv7vaLtLS0v1On2/e2FNk+9i4p26VncTI9x44hnKooUFuDyii4qd92dLxym/D/jXCsqX3HTwur/Y4+Nm93IiRJ88EolouZu+U/8W79x5Lr8CujA1ic41qlTEG1akoUcJCY7sqjQcuoCAvr4+it421pYmxkYmxMc5pXHyCpfLSg/xXnXDWIiKjHweHlXcsi5dnAi5JRERERG8bPgSLiApj1z7f8IhoVCC37jiE+OfirOGG2Pp13Q8ePnnvwWPUTs8EBN24dV+EXtRm79x9OHfB6k3e++csWGmX53ZloWJ5e3Nz083bDyQnp+LfsjVbFy3fgPatOw7O/m1lckoqlmPi4i1LlUTQ1dj4ooOQTEyMfXxP+/qdRWQNunIzLDyqYoXcL/eWd7RHttzsnbvr6Ji4jd77a7tXMzI0zDNCB3Nzs83e+7HfyKiYnfuOiHZUjM3NTBF6kY3Rp6+fv/RyciKjYuV/SN2Y4bq1q2/Yui/3uVNZCp+jp7+aMhuzqq29gLuJf5qw58BRXAUIDo3YufeIZ+3cL3WXtrXCkR49EYB2XNo4ffbZTdoO9mWaNfJcsOTPPzfvWbxi08NH/PPRRERE9PZhBZiICqND26bzfl+dnJyC+DpqqJeZqUnedRrV90AhcdnqbYlJSbY21kMH9XRUVoBtbay+/mz0pSs3nyYkjRjc+9LV22ERkXk3NzY2+mDkgDUbdn4zdS4Cqmtlp2GDeqG9fZumazbs+HrKXGMjw1IlS6AHbY0vhNrywL5d127Yud/HD7XQ9m2aiPu9c3c9asDqP3dg1wYGBijkDu7XLe/myM+jh3qt2bjrq8mzkYQH9+22ZOVm8VZ/ry5rN+7yOXrK2rJU86b1Dh05JRUYRjJ15kL5ZZVKFT7+4N1B73RdvX7H9NlLMjIzS9tavz+in5FR7n/AtbUXRJ1a1RISkiZ89zMuFni4V+3SoYWkvEN7cP9uG7fu8z1+Bmetgaf7ZeXDt8GrZ3s3V2dcvHC0L9O4Qe1Pvp4hEREREb1V9OTvdxFRkREaHm1vZyO9GVHRsf+bsXDujK8RNVEBlh8BlQ+1pxDfvvswPSOzZrXK4uWsecuqV63ctWMLbZunp2cgqpoYG6k2ZmaBQi14a2x8IfQfFRNna21p8vwJT3+9lZGJKquBwQtulsE8YKd6f7/5GP9xxQWCYsXMC/xV3xfLzs5OTUvPO+fa2gsCh69voK9W3xaDt7Aw/2u1jEz/c0GohJcoXgwvr16/s3T1ltk/fFnwvE1E9HZ5o79Miejfwv/jQkSFhLxXwMSl9jd4sOHyNVtr1XC1siqFMJyUnNKwnns+m+fNpZLykVp570nW2PhC6B8lTc1v/T11a2Ou6Y8MIfeqBsjXAuVZjXOurb0gNE5v3sFjKq5eu3PsRIB7ddfEpOQr1263bdmY6ZeIiIjeLqwAExVBb/SiNcq5J/0vtG7e8IV10XxERsVevnYrISHJzs7WvXoVi2KvOSjSm4DfF4FB14NDw01NjJ0rlq9SqYJERFR0sQJMVCQxABMVQfydTURE9Ir4y5SoSOJToImIiIiIiEgnMAATERERERGRTmAAJiIiIiIiIp3AAExEREREREQ6gQGYiIiIiIiIdAIDMBEREREREekEBmAiIiIiIiLSCQzAREREREREpBMYgImIiIiIiEgnMAATERERERGRTmAAJiqCDA0MMrOyJCIiIioU/BrFL1OJiIocBmCiIsjMzCQ1NV0iIiKiQklLyzA1NZaIqMhhACYqgszNTNIzMhOTUlgHJiIiein41YlfoGnpGcXMTSUiKnL0cnJyJCIqchQKRXJKGi5gZykUEhERERWMoYEBar9Ivwa8BZqoKGIAJiIiIiIiIp3AW6CJiIiIiIhIJzAAExERERERkU5gACYiIiIiIiKdwABMREREREREOoEBmIiIiIiIiHQCAzARERERERHpBAZgIiIiIiIi0gmGEhEVRQqFIiU1PTU1PUuhkIiIiKhgDA0MzMxMzM1MDAwMJCIqcvRycnIkIipakH5j4xNNjI3wK9zIkNe5iIiICiozKwuXj9MzMq1KFWcGJip6GICJiqDEpBT8T7tE8WISERERvTz+JiUqqvgdYKIiCJeuUfuViIiIqFBMTY3T0jIkIipyeG8kURGUpVDwzmciIqJCw69RPkSDqEhiBZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkExiAiYiIiIiISCcwABMREREREZFOYAAmIiIiIiIincAATERERERERDqBAZiIiIiIiIh0AgMwERERERER6QQGYCIiIiIiItIJDMBERERERESkExiAiYiIiIiISCcwABNRrvDw8Bs3bmRkZEhvRkhIyOeff37x4kXpzVAoFJMnT966datEr1UBT9z+/fuXLl2q8a3ly5fv3btXIiIiIvoPYAAm0nV79uypVKlStWrVmjRp4ujoOGLEiJSUFOl1O3fu3MqVK/ft2ye9JnFxcdu3b79586Z4GR0dvXDhwhUrVkhviTNnzmD82t7dtWvXyZMnpf+AAp64NWvW4AKExremTp26atUqiYiIiOg/wFAiIh3m6+s7dOhQW1vbb7/91srK6sCBAzt27EAA3rhxo/Rade/eHXmvfv360mty//79kSNHfv31125ubnhZpkwZHx8fe3t76S0xb968w4cP9+rVS+O777//vqenZ9OmTaV/22s/cURERET/IgZgIp2GuJuTk4OfIkai/Nu/f38kSRRUbWxspNdHX1+/RYsW0ptUp04diV63f+DEEREREf1jeAs0kU67du2amZlZlSpV5JZZs2atXr0aqVi8PH36NAqtWKFjx46//PKL3K5QKH788cfGjRtXrFixQ4cO+/fvl3vYunVr+/btK1SogAIm6pzZ2dlovHjxYpMmTbZt2ybWCQ4O/vzzz+vVq+fu7j5u3Ljr16+L9szMTKz2/fffe3t7t2zZEp3369cPK6sNe+HChaNHj8bCsmXLsL6fnx+WsfDdd99h4ezZs1jetWvXlClTqlevjmC8c+fO5OTkTz75pFKlStjp77//LneVnp4+ffr0Vq1aVatWDXXXq1evym9dvny5T58+Li4utWvXHj9+fEJCgsY5/PPPP728vJydnbt164aBqc4khpGYmCheYnO8/Pnnn9PS0rBw5swZMWZU4FXr0b+QAAAHUklEQVR7Qzsasc6FCxewMH/+fPlEjBo1CtcpmjVrhsNUHYy2yVSDixpffvmlh4dH3bp1V6xYgdOE/oOCgvIZat4T9/jx488++wzVaUzsu+++++DBg7w7Sk1NHTBgQOfOncPCwlTbZ86cia7u3bsnt+AE4UMSGxsrEREREf0jGICJdFrNmjURVyZOnCiHEATXrl272traSsp4jPyJHDh48GC0TJ06FaFXrPbtt9/OnTu3efPmWNDT0xs0aNCJEyck5ZdX33vvPWtra2QbRMpp06b99NNPaE9JSblx40Z8fDyWnz59isS4adMm5Kg2bdrs27cPL0XKRcDGanv27EFYwrsODg4oRyOeqQ0bORYpDgtOTk7IyaJYjQ1DQkKwgKyLZez30qVLnTp1wqGNGTMGOfPOnTvYEUaCAHn06FHRFVLxnDlzKleu3LdvX4RMeSToCpkfEe6bb77p3r37li1bBg4cmHcCV65c+dFHH0VFRQ0ZMgQXBSZNmiRPEbbFMFQvGeAlGg0MDDBmKysrNGIBwVW1Q7SjEetYWlpiAQNDIw4Ew/P39+/ZsyeS9pIlS7A7XCzIfzJV4TIE8jOuF9jb2yNzzp49+48//sB4cPbzGaraiYuLi0Pnmzdvxphbt26N6w7t2rULDQ1V3VFWVtbw4cPxYcAHoGzZsqpv4ZShK/nrxBgSrh0UL15cTAURERHRP4C3QBPptK+++goxBoFq+fLlyCcohL7zzjtIleLdCRMmWFhYoLorEuann36K0It4g1y6d+9erI+Yivb+/fuvWrUKMRjLaMcCCowoLI8YMQIlYlNTU7WdopJ8+/ZtbIJgiZfI2IjcP/zww+LFi8UKyJOo4pYuXRrLSGsHDhxAWNLX/+uCHWrOGBLKkoh8qGpqPDSkL6RWLDRs2BCZHEEOuRqdYKfY3alTp3Cwx44dQ3RE/kcFFWsiJGN3qHxihL6+vijDIsBjF3gLdVdUVjMyMoyNjeVdIGlj76i7Hjp0CO0IkIipiNO4HIDataSFkZERQjLS+JMnT+S0LHN1dUUjcjXOgvwu9oJIjLnF5Qm8RFkYRXKMHBcmXjiZAk4iTjQG9ttvv0nKxIuLF5LyioNUYNjX3bt3VfeFhY0bN6ImLK+DCwpiVhs0aKC2OSZcfM8clwwk5eO1cG2id+/eEhEREdE/hRVgIp2GlIi4gnog6ocXLlxAoEWsFbkLZUCkUNRyUeK7rCRCHaqR+Fm+fPmgoKDp06ejSoyQPH78ePHEJiQ0ZCq8RMJMT08fNmwY4rHaTi9evFiyZEkRoiRlQEXqE/fiCvXr1xfpF5DTYmJikLukl4TipFhAIVpS3mwsIrR4iYyNnzhkSZk5xQEmJiZi8Ahm4kDwc8aMGbt370b9s23btjgo1fQLV65cwSwNGDBAtCP5ozArDlB6fVBTxdgwD2JI8O677+KnmLEXTqYgbu3GhQDxEucdxWTpJWFfpUqVkveFMx4dHY3LIuIlrg4glq9fvx4JWePXhg0NDbFTfKhQScbLgwcP4oz06NFDIiIiIvqnMAAT6boSJUqgVLtv374HDx6gemlnZ4efZ86cefjwId5F2bPlc1OnTkWL+MtDixYtQokPyRml0apVqyL5iDtyUQxEIERo7NatG2qYSFzh4eFqe0QPcpFZQLRGRRRJT7xEypLfEsvyWwWHErTqSzm7qlaSxbEgT8rHiKqvCNsInDheTALKwi4uLkhuAQEBUp4DkZS3YcstYln+40yvBcaASwmqe0EdFWftxo0bUgEmUxAHpbpmpUqVpJeEUrPavjCZovIvKYvJ4hvL4rZqjfr06YNivo+PD5ZRCsaHR77SQURERPQPYAAm0l2oXgYHB4uvd4K5ufnw4cPFHcUojYovcHp5eT38u7Fjx0rKAilSLiqTv//+u7OzM5IPqsFoNzU1XbhwIZISKoFdu3bdtm2bKIqqwrZqj0fCSwcHB1QIpX+Wo6Mjfp4/f171AOVq80cffYT8v3fv3nHjxmFCevfujVq06uaiJKv6JVhxXCiPyy1yGkSIlQoFM4OcqTpjSUlJCQkJYi8FnExxpKpDFd+XVvXCoSJa591K1ZIlS7DrTz75ROPDsSRlgRorIPpinhHdkYclIiIion8QAzCRTmvTpg1KtapfBE1OTpaUdwUjD7u5uV25cgWZtoQS3vL19Y2KikpJSTl06BAqkIhV/fv337Fjh4mJibg1+vjx46dPn8bKHTt2/OOPPxo3bnz16lXxIGiZu7t7RESEfJ/wo0eP0FWtWrWklyECnriZttDEThGASzwXGBgoKr04cBwjFho1aoRSMGI/jlrtTmyxOeKc3CKWPTw88FP8UWJ0Lt5Cz6rbGhgYSMpHWElajk4+NJSycTowq/KTnw8ePCjvpYCTKW783rVrl3iJY1Eddv5DlWFfkZGR4hZxSfmnmDt37rx69WrxEp+Bd955Z9myZeh8xIgRGRkZeXtAuRjXEY4cOYKrJ0ZGRvjsSURERET/oP8DAAD//14XHnUAAAAGSURBVAMA4ShJ+Hwi1AkAAAAASUVORK5CYII=",
      "type": "image/png",
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        "displayWidth": 1280,
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}

{
  "type": "system",
  "subtype": "thinking_tokens",
  "estimated_tokens": 50,
  "estimated_tokens_delta": 50,
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb",
  "uuid": "253ac8ff-1397-4eba-8f9f-344c6ebe429e"
}

{
  "type": "system",
  "subtype": "thinking_tokens",
  "estimated_tokens": 179,
  "estimated_tokens_delta": 129,
  "session_id": "27dbe829-a8fd-4b80-8b1f-39f22cf5fddb",
  "uuid": "f6e0dc86-f9a9-4a11-814a-5f977757a41e"
}

{
  "type": "assistant",
  "message": {
    "model": "claude-haiku-4-5-20251001",
    "id": "msg_011CemxP1Y693UVfV8S4t9Tp",
    "type": "message",
    "role": "assistant",
    "content": [
      {
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Case-insensitive\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  await page.fill('[data-testid=\"filter-search\"]', \"SAFARI\");\n  await page.waitForTimeout(300);\n  const count1 = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  \n  await page.fill('[data-testid=\"filter-search\"]', \"safari\");\n  await page.waitForTimeout(300);\n  const count2 = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  \n  if (count1 !== count2) throw new Error(\"Search is case-sensitive\");\n  console.log(`  Found ${count1} issues (case-insensitive search confirmed)`);\n})) passed++;\n\n// Test 7: All filters combined\ntotal++;\nif (await verify(\"All filters combined - Multiple filters work together\", async () => {\n  await page.goto(\"http://localhost:4174\");\n  \n  // Set status\n  await page.selectOption('[data-testid=\"filter-status\"]', \"open\");\n  await page.waitForTimeout(200);\n  \n  // Set label\n  const bugCheckbox = await page.locator('[data-testid=\"filter-label-option-bug\"]');\n  await bugCheckbox.click();\n  await page.waitForTimeout(200);\n  \n  // Set search\n  await page.fill('[data-testid=\"filter-search\"]', \"Safari\");\n  await page.waitForTimeout(300);\n  \n  const url = page.url();\n  if (!url.includes(\"status=open\") || !url.includes(\"labels=bug\") || !url.includes(\"q=Safari\")) {\n    throw new Error(\"Not all filters are in URL\");\n  }\n  \n  const count = await page.locator('[data-testid^=\"issue-item-\"]').count();\n  console.log(`  Found ${count} open issues with bug label and Safari in title`);\n})) passed++;\n\n// Test 8: Empty state\ntotal++;\nif (await verify(\"Empty state - 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